Codebook

Norwegian Citizen Panel

Round 30

v-101 - 2024-10-08









Produced by ideas2evidence










Citation

Researchers responsible

Name Affiliation
Elisabeth Ivarsflaten UiB
Åsta Dyrnes Nordø UiB
Stefan Dahlberg UiB
Sina Storelv UiB
Erla Løvseth UiB
Lise Lund Bjånesøy UiB
Troy Saghaug Broderstad UiT
Hege Høivik Bye UiB
Gisela Böhm UiB
Marta Rekdal Eidheim UiB
Thea Gregersen NORCE
Erik Knudsen UiB
Arjan Schakel UiB
Endre Tvinnereim UiB

Coordinating team

Name
Erla Løvseth
Sina Storelv
Emilie Midtsæter Strønen
Silje Løseth

Producers

Name Affiliation Role
Joachim Wettergreen ideas2evidence Coordinator
Olav Bjørnebekk ideas2evidence Project team member
Ola Grendal ideas2evidence Project team member
Georg Stokke ideas2evidence Project team member
Asle Høgestøl ideas2evidence Quality assurance

Study Description

Abstract

The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time in the fall of 2013, and as of 2017 the survey is carried out three times a year. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by the Sikt - Norwegian Agency for Shared Services in Education and Research. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at uib.no/en/citizen

Scope

Geographic coverage: National geographic coverage. Counties as geographic coding.
Unit of analysis: Individuals
Universe: Norwegian citizens 18 years or older.

Methodology

Sampling procedure

Members of the Norwegian Citizen Panel have been recruited in the following waves:

Round Sample size Recruited
1 25 000 4 870
3 25 000 5 623
8 22 000 4 245
11 14 000 2 069
14 14 000 2 036
16 34 000 5 163
18 14 000 2 048
22 23 000 3 221
25 18 000 2 405
30 25 000 3 746

All samples are drawn from the Norwegian National Population Registry. This National Population Registry includes everyone born in Norway as well as former and current inhabitants. The Norwegian Tax Administration is responsible for the register. A stratified sample was used in wave 30, where approximately 17 000 of the persons attempted recruited were younger persons, while the remaining of the 25 000 were randomly selected.

The extracted data was a) last name, b) first name, c) address, d) gender, and e) age. Phone number was joined with the data using Data Factory. The sample excluded people with no current home address in Norway.

Mode of Data Collection

The survey is based on a web-based questionnaire with postal recruitment. Please refer to documentation and other information from previous waves: https://surveybanken.sikt.no/en/series/ed271b1c-2595-47e4-8c97-3fcc00f02368. Screenshots of the questions are available on request from DIGSSCORE.

In wave 30, email invitations were sent out on 3rd of June 2024 for softlaunch, and on the 4th of June for the main launch.

An email with reminder was sent out three times; 11th of June, 19th of June, and 27th of June to respondents who: a) had not logged in to the survey, or b) had not completed the survey. Panel members with registered mobile numbers received the second reminder via text message. Panel members without registered phone number were reminded by email.

New respondents drawn from the population registry were invited by post on the 4th of June. Postcards were distributed the 11th of June and the 24th of June to all new respondents. Those enlisted with telephone numbers also received text messages on June 14th, June 20th, and June 27th. The reminders were sent to respondents who had not accessed or completed the survey.

Wave 30 ended on the 4th of July 2024.

Weighting

To compensate for observed bias, a weight has been calculated. The weight equal the relation between a given strata in the population and the total population, divided by the relation between a given strata in the net sample and the total net sample. This procedure returns values around 1, but above 0. Respondents who are underrepresented will receive a weight above 1 and respondents who are overrepresented a weight below 1.

When calculating the weight, the information regarding the respondent’s geographical location, gender and age are based on registry data. These attributes were included in the sample file we received from the Norwegian Population Register. Information regarding the level of education is provided by the respondents when answering the questionnaire. Respondents with missing data on the education variable are only weighted on demography (the education component of the weight is set to 1 in these cases).

One weight have been calculated:

When applied, the weight will provide a weighted N equal to the number of cases in the dataset. In other words, the weight are calculated using the whole dataset. NCP has an extensive use of (randomized) sub-groups, which might alter the demographic profile of the sub-group compared to the whole dataset. If custom weights are necessary, data is included in the dataset which indicates the proportion size of strata in the population.

Note: In 2018 NCP changed the age variables in the datasets in order to make the respondents less identifiable. The weights are calculated with the old age variables, which no longer are publically available.


Change Log

Version Release date / Date changed Variable Changes and notes
v-101 2024-10-08 NA Revised release of round 30
v-101 2024-10-06 NA Revised release of round 30
NA 2024-09-26 r30_bgedu Added variable: Coded version of r30_bgedu_raw
NA 2024-09-26 r30_bgday Added variable: Coded version of r30_bgday_raw
NA 2024-09-26 r30_pcpar Added variable: Coded version of r30_pcpar_raw
NA 2024-09-26 r30_bgupc Added variable: Coded version of r30_bgupc_raw
NA 2024-09-26 r30_bgjsc Added variable: Coded version of r30_bgjsc_raw
NA 2024-09-26 r30_pcmipo_1_coded1 Added variable: Coded version of r30_pcmipo_1
NA 2024-09-26 r30_pcmipo_2_coded1 Added variable: Coded version of r30_pcmipo_2
NA 2024-09-26 r30_pcmipo_3_coded1 Added variable: Coded version of r30_pcmipo_3
NA 2024-09-26 r30_pcmipo_1_coded1 Variable documentation inserted
NA 2024-09-26 r30_pcmipo_2_coded1 Variable documentation inserted
NA 2024-09-26 r30_pcmipo_3_coded1 Variable documentation inserted
NA 2024-09-26 r30_bgedu Variable documentation inserted
NA 2024-09-26 r30_bgciv Variable documentation inserted
NA 2024-09-26 r30_bgday Variable documentation inserted
NA 2024-09-26 r30_pcpar Variable documentation inserted
NA 2024-09-19 r30_dmscpx Variable documentation updated
NA 2024-09-19 r30_dmscpx_intro Variable documentation updated
NA 2024-09-19 r30_teaic_1 Variable documentation updated
NA 2024-09-19 r30_menwextimefp1 Variable documentation updated
NA 2024-09-19 r30_menwextimefp2 Variable documentation updated
NA 2024-09-19 r30_menwextimefp3 Variable documentation updated
NA 2024-09-19 r30_mesta_1 Variable documentation updated
NA 2024-09-19 r30_mesta_2 Variable documentation updated
NA 2024-09-19 r30_mesta_3 Variable documentation updated
NA 2024-09-19 r30_mesta_4 Variable documentation updated
NA 2024-09-19 r30_mesta_5 Variable documentation updated
NA 2024-09-19 r30_mesta_6 Variable documentation updated
NA 2024-09-19 r30_bgupm Variable documentation updated
NA 2024-09-19 r30_bgupm_mangler_2 Variable documentation updated
NA 2024-09-19 r30_bgupm_other Variable documentation updated
NA 2024-09-19 r30_bgupm_sok Variable documentation updated
NA 2024-09-19 r30_bgupm_utland_1 Variable documentation updated
NA 2024-09-19 r30_group Variable documentation updated
NA 2024-09-19 r30_bgday_raw Variable documentation updated
NA 2024-09-19 r30_bgday_12_other Variable documentation updated
NA 2024-09-19 r30_bgjof Variable documentation updated
NA 2024-09-19 r30_bgjsc Variable documentation updated
NA 2024-09-19 r30_bgjsc_7_other Variable documentation updated
NA 2024-09-19 r30_bgjem Variable documentation updated
NA 2024-09-19 r30_bgjma Variable documentation updated
NA 2024-09-19 r30_bgjob_other_1 Variable documentation updated
NA 2024-09-19 r30_bgjob Variable documentation updated
NA 2024-09-19 r30_bgjtio Variable documentation updated
NA 2024-09-19 r30_bgjwoo Variable documentation updated
NA 2024-09-19 r30_bgjpa Variable documentation updated
NA 2024-09-19 r30_bglivpa Variable documentation updated
NA 2024-09-19 r30_bglivpa_7_other Variable documentation updated
NA 2024-09-19 r30_bgjofpa Variable documentation updated
NA 2024-09-19 r30_bgjscpa Variable documentation updated
NA 2024-09-19 r30_bgjempa Variable documentation updated
NA 2024-09-19 r30_bgjmapa Variable documentation updated
NA 2024-09-19 r30_bgjobpa_other_1 Variable documentation updated
NA 2024-09-19 r30_bgjobpa Variable documentation updated
NA 2024-09-19 r30_bgjtipao Variable documentation updated
NA 2024-09-19 r30_bgjwopao Variable documentation updated
NA 2024-09-19 r30_bgbrw Variable documentation updated
NA 2024-09-19 r30_bgjscfa Variable documentation updated
NA 2024-09-19 r30_bgjemfa Variable documentation updated
NA 2024-09-19 r30_bgjmafa Variable documentation updated
NA 2024-09-19 r30_bgjobfa_other_1 Variable documentation updated
NA 2024-09-19 r30_bgjobfa Variable documentation updated
NA 2024-09-19 r30_bgjtifao Variable documentation updated
NA 2024-09-19 r30_bgjwofao Variable documentation updated
NA 2024-09-19 r30_bgjscmo Variable documentation updated
NA 2024-09-19 r30_bgjemmo Variable documentation updated
NA 2024-09-19 r30_bgjmamo Variable documentation updated
NA 2024-09-19 r30_bgjobmo_other_1 Variable documentation updated
NA 2024-09-19 r30_bgjobmo Variable documentation updated
NA 2024-09-19 r30_bgjtimoo Variable documentation updated
NA 2024-09-19 r30_bgjwomoo Variable documentation updated
NA 2024-09-19 r30_ceagrx Variable documentation updated
NA 2024-09-10 r30_recBefore30_Weight4 New variable: Added r30_recBefore30_Weight4
NA 2024-09-10 r30_recBefore30_Weight4 Variable documentation inserted
NA 2024-09-02 r29_bgscp_mask Variable documentation updated
v-100 2024-08-19 NA Initial release of round 30
NA 2024-06-27 c26_bginc Variable documentation updated
NA 2024-06-27 c27_bgoily_decade Variable documentation updated
NA 2024-06-27 r29_pcmipo_1_coded1 Variable documentation updated
NA 2024-06-27 r29_pcmipo_2_coded1 Variable documentation updated
NA 2024-06-27 r29_pcmipo_3_coded1 Variable documentation updated
NA 2024-06-18 c26_pcipe Variable documentation updated
NA 2024-06-18 c26_pcepe Variable documentation updated
NA 2024-06-18 r29_pcldpsv Variable documentation updated
NA 2024-06-18 r29_pcldpk Variable documentation updated
NA 2024-06-18 r29_pcldph Variable documentation updated
NA 2024-06-18 r29_pcldpf Variable documentation updated
NA 2024-06-18 r29_pcldpv Variable documentation updated
NA 2024-06-18 r29_pcldpsp Variable documentation updated
NA 2024-06-18 r29_pcldpm Variable documentation updated
NA 2024-06-18 r29_pcldpa Variable documentation updated
NA 2024-06-18 r29_pcldpr Variable documentation updated
NA 2024-06-18 r29_pcmipo_1_coded1 Variable documentation inserted
NA 2024-06-18 r29_pcmipo_2_coded1 Variable documentation inserted
NA 2024-06-18 r29_pcmipo_3_coded1 Variable documentation inserted
NA 2024-06-13 r29_pcmipo_1_coded1 Variable documentation updated
NA 2024-06-13 r29_pcmipo_2_coded1 Variable documentation updated
NA 2024-06-13 r29_pcmipo_3_coded1 Variable documentation updated
NA 2024-06-13 r29_pcmsc Variable documentation updated
NA 2024-06-12 r29_pcmipo_1_coded1 Added variable: Coded version of r29_pcmipo_1
NA 2024-06-12 r29_pcmipo_2_coded1 Added variable: Coded version of r29_pcmipo_2
NA 2024-06-12 r29_pcmipo_3_coded1 Added variable: Coded version of r29_pcmipo_3
NA 2024-03-12 r28_pcvot23m Updated variable: New versions of r28_pcvot23m that includes coded other-statements
NA 2024-03-12 r28_pcvot23c Updated variable: New versions of r28_pcvot23c that includes coded other-statements
NA 2024-03-12 r28_pcvot23m Variable documentation updated
NA 2024-03-12 r28_pcvot23c Variable documentation updated
NA 2024-01-23 r28_pcvot23m Variable documentation updated


Dataset contents

File name Norwegian Citizen Panel - round 30 - v-101-L.sav
Distribution type Privileged
# Cases 13509
# Variables 634


Variable Documentation

responseid


Variable label: responseid
Technical attributes: [Question type: -] [Format:character] [Valid:13509] [Invalid:0] [Range:-]



r30_rekruttert


Variable label: The wave the respondent was recruited
Field period: 03.06.2024 - 04.07.2024
Technical description: The wave the respondent was recruited
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-30]

Value Label Cases Percentage
1 Wave 1 1235 9.1% 0.09142053
3 Wave 3 1342 9.9% 0.09934118
8 Wave 8 1203 8.9% 0.08905174
11 Wave 11 677 5.0% 0.05011474
14 Wave 14 667 4.9% 0.04937449
16 Wave 16 1767 13.1% 0.13080169
18 Wave 18 714 5.3% 0.05285365
22 Wave 22 1257 9.3% 0.09304908
25 Wave 25 1071 7.9% 0.07928048
30 Wave 30 3576 26.5% 0.26471241


r30_interview_start


Variable label: [Date and time of when the respondent first opened the questionnaire. Excel-format.]
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type: -] [Format:character] [Valid:13509] [Invalid:0] [Range:-]



r30_interview_end


Variable label: [Date and time of when the respondent completed the questionnaire. Excel-format.]
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type: -] [Format:character] [Valid:12405] [Invalid:1104] [Range:-]



r30_browsertype


Variable label: Browser type used by respondent
Field period: 03.06.2024 - 04.07.2024
Technical description: Browser type used by respondent
Technical attributes: [Question type:Open] [Format:character] [Valid:13509] [Invalid:0] [Range:-]



r30_browserversion


Variable label: Browser version used by respondent
Field period: 03.06.2024 - 04.07.2024
Technical description: Browser version used by respondent
Technical attributes: [Question type:Open] [Format:character] [Valid:13509] [Invalid:0] [Range:-]



r30_mobil


Variable label: Determines if the respondents uses a smartphone or tablet
Field period: 03.06.2024 - 04.07.2024
Technical description: Determines if the respondents uses a smartphone or tablet
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
0 Other 6202 45.9% 0.4591013
1 Smartphone or tablet 7307 54.1% 0.5408987


r30_opplosning


Variable label: Screen resolution of the applied device
Field period: 03.06.2024 - 04.07.2024
Technical description: Screen resolution of the applied device
Technical attributes: [Question type:Open] [Format:character] [Valid:13509] [Invalid:0] [Range:-]



r30_enhetstype


Variable label: Determines respondents’ device type
Field period: 03.06.2024 - 04.07.2024
Technical description: Determines respondents’ device type
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 PC 6202 45.9% 0.459101340
2 Touch 7251 53.7% 0.536753276
3 Generic 56 0.4% 0.004145385


r30_advancedwifeaturesenabled


Variable label: Determine whether the respondent’s browser supports Advanced WI Features that require client side scripts, such as sliders, drag-n-drop ranking, images instead of radio-buttons/check-boxes etc.
Field period: 03.06.2024 - 04.07.2024
Technical description: Determine whether the respondent’s browser supports Advanced WI Features that require client side scripts, such as sliders, drag-n-drop ranking, images instead of radio-buttons/check-boxes etc.
Technical attributes: [Question type:Open] [Format:character] [Valid:13509] [Invalid:0] [Range:-]



r30_getrenderingmode


Variable label: Detects the browser’s rendering mode
Field period: 03.06.2024 - 04.07.2024
Technical description: Detects the browser’s rendering mode
Technical attributes: [Question type:Open] [Format:character] [Valid:13509] [Invalid:0] [Range:-]



r30_group


Variable label: Subgroup for wave 30.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Randomized for all respondents]

[Respondents recruited in wave 30 was placed in group 6.

11 respondents who were recruited previous to wave 30 was misplaced in group 6 despite them not being recruited in wave 30.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Group 1 1949 14.4% 0.1442742
2 Group 2 1996 14.8% 0.1477533
3 Group 3 1985 14.7% 0.1469391
4 Group 4 1975 14.6% 0.1461988
5 Group 5 2017 14.9% 0.1493079
6 Group 6 (recruited wave 30) 3587 26.6% 0.2655267


r30_rangroup_gr6


Variable label: Experiment. Randomly selects one of 12 question sets if [r30_group] = 6.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Randomized if (r30_group = 6 )]

[If [r30_rangroup_gr6] = 1 the respondent is exposed to [r30_ceremx], [r30_ceremxo], [r30_posir], [r30_cemel], [r30_cewcn], [r30_cehab]

If [r30_rangroup_gr6] = 2 the respondent is exposed to [r30_dmderx], [r30_dmbefx], [r30_cegsdx1], [r30_cegsdx2], [r30_cegsux1], [r30_cegsux2]

If [r30_rangroup_gr6] = 3 the respondent is exposed to [r30_inimp], [r30_teaiu], [r30_teaic], [r30_pomlp], [r30_pollp2], [r30_poptix], [r30_poptcx]

If [r30_rangroup_gr6] = 4 the respondent is exposed to [r30_mesta], [r30_mesta1] - [r30_mesta6], [r30_mento], [r30_menwex]

If [r30_rangroup_gr6] = 5 the respondent is exposed to [r30_ceremx], [r30_ceremxo], [r30_posir], [r30_cemel], [r30_cewcn], [r30_cehab]

If [r30_rangroup_gr6] = 6 the respondent is exposed to [r30_cpredx], [r30_mllog], [r30_mlaco], [r30_cegsdx1], [r30_cegsdx2], [r30_cegsux1], [r30_cegsux2]

If [r30_rangroup_gr6] = 7 the respondent is exposed to [r30_mesta], [r30_mesta1] - [r30_mesta6], [r30_mento], [r30_menwex]

If [r30_rangroup_gr6] = 8 the respondent is exposed to [r30_dvnei], [r30_dvnevox], [r30_dvnevoxf], [r30_dvnevoxe], [r30_dvnevoxs], [r30_dvnvoxc], [r30_dmaicx]

If [r30_rangroup_gr6] = 9 the respondent is exposed to [r30_lgcsix], [r30_lgcbex], [r30_lgcop], [r30_lgcsu], [r30_lgcpo], [r30_lgcpp], [r30_podicx], [r30_podiax]

If [r30_rangroup_gr6] = 10 the respondent is exposed to [r30_enprox], [r30_enprox], [r30_enproxo], [r30_enele], [r30_ceerwx], [r30_ceerf], [r30_ceerl], [r30_ceerr]

If [r30_rangroup_gr6] = 11 the respondent is exposed to [r30_wopscx], [r30_woparx], [r30_wopbrx], [r30_wopacx], [r30_wopacxo], [r30_wopbcx], [r30_wopbcxo]

If [r30_rangroup_gr6] = 12 the respondent is exposed to [r30_cepab], [r30_cepas], [r30_cepacx], [r30_pll5yx], [r30_plsce], [r30_dmscpx], [r30_dmscax], [r30_dmscrx]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:3569] [Invalid:9940] [Range:1-12]

Value Label Cases Percentage
1 Section 1 310 8.7% 0.08685906
2 Section 2 293 8.2% 0.08209583
3 Section 3 270 7.6% 0.07565144
4 Section 4 308 8.6% 0.08629868
5 Section 5 298 8.3% 0.08349678
6 Section 6 302 8.5% 0.08461754
7 Section 7 286 8.0% 0.08013449
8 Section 8 283 7.9% 0.07929392
9 Section 9 298 8.3% 0.08349678
10 Section 10 305 8.5% 0.08545811
11 Section 11 301 8.4% 0.08433735
12 Section 12 315 8.8% 0.08826002
Sysmiss 9940 NA


r30_panel


Variable label: Panel group for wave 30.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Set for respondents who participated in wave 23 or 24 of the Norwegian Citizen Panel and was recruited in wave 1, 3, 8, or 11 to the Norwegian Citizen Panel.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Panel group 3887 28.8% 0.2877341
0 Not part of a panel group 9622 71.2% 0.7122659


r30_ecpen


Variable label: Good/bad proposal: Strengthen private entrepreneurship and the market economy
Literal question: How good or bad do you think the following proposal is? Work to strengthen private entrepreneurship and the market economy
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very good proposal 378 19.4% 0.193945613
2 Fairly good proposal 680 34.9% 0.348896870
3 Neither a good nor a bad proposal 618 31.7% 0.317085685
4 Fairly bad proposal 212 10.9% 0.108773730
5 Very bad proposal 49 2.5% 0.025141098
97 Not answered 12 0.6% 0.006157004
98 Not asked 11560 NA


r30_ecbuox_ran1


Variable label: Experiment. Randomly selects an element for textpiping in [r30_ecbuox].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1949] [Invalid:11560] [Range:1-3]

Value Label Cases Percentage
1 in a municipality in Norway 667 34.2% 0.3422268
2 in a rural municipality in Norway 637 32.7% 0.3268343
3 in an urban municipality in Norway 645 33.1% 0.3309389
Sysmiss 11560 NA


r30_ecbuox_ran2


Variable label: Experiment. Randomly selects an element for textpiping in [r30_ecbuox].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1949] [Invalid:11560] [Range:1-2]

Value Label Cases Percentage
1 It contributes to many jobs. 961 49.3% 0.4930734
2 BLANK 988 50.7% 0.5069266
Sysmiss 11560 NA


r30_ecbuox


Variable label: More or less in taxes: Rich company owner
Literal question:

Imagine a person who has become rich by owning a successful company. The company is located [r30_ecbuox_ran1].[r30_ecbuox_ran2] The owner of the company believes that people like him pay too much tax, and that tax burden should be reduced to provide better conditions for trade and industry. Others point out that the tax that this company owner and others pay is important for financing public welfare, and reducing differences between the rich and the poor.

Generally speaking, do you think this company owner and others like him should pay more or less in taxes than they do today?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Much more 95 4.9% 0.04874295
2 More 560 28.7% 0.28732683
3 Neither more nor less 880 45.2% 0.45151360
4 Less 355 18.2% 0.18214469
5 Much less 48 2.5% 0.02462801
97 Not answered 11 0.6% 0.00564392
98 Not asked 11560 NA


r30_ecsrex_ran1


Variable label: Experiment. Randomly selects an element for textpiping in [r30_ecsrecx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1949] [Invalid:11560] [Range:1-2]

Value Label Cases Percentage
1 reprioritise so that a larger portion of the state budget goes to 965 49.5% 0.4951257
2 direct more of their attention to 984 50.5% 0.5048743
Sysmiss 11560 NA


r30_ecsrex_ran2


Variable label: Experiment. Randomly selects an element for textpiping in [r30_ecsrecx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1949] [Invalid:11560] [Range:1-3]

Value Label Cases Percentage
1 people living in areas where many have limited financial resources (living condition challenges). 618 31.7% 0.3170857
2 people living in rural communities where many have limited financial resources (living condition challenges). 636 32.6% 0.3263212
3 people living in urban areas where many have limited financial resources (living condition challenges). 695 35.7% 0.3565931
Sysmiss 11560 NA


r30_ecsrex


Variable label: Good/bad proposal: Government allocate focus/budget towards poor living conditions
Literal question: How good or bad do you think the following proposal is? The state should [r30_ecsrex_ran1] [r30_ecsrex_ran2]
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 184 9.4% 0.094407388
2 Good 568 29.1% 0.291431503
3 Somewhat good 602 30.9% 0.308876347
4 Neither good nor bad 295 15.1% 0.151359672
5 Somewhat bad 168 8.6% 0.086198050
6 Bad 86 4.4% 0.044125192
7 Very bad 33 1.7% 0.016931760
97 Not answered 13 0.7% 0.006670087
98 Not asked 11560 NA


r30_dvievx_ran1


Variable label: Experiment. Randomly selects an element for textpiping in [r30_dvievx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1949] [Invalid:11560] [Range:1-2]

Value Label Cases Percentage
1 female 1013 52.0% 0.5197537
2 male 936 48.0% 0.4802463
Sysmiss 11560 NA


r30_dvievx_ran2


Variable label: Experiment. Randomly selects an element for textpiping in [r30_dvievx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1949] [Invalid:11560] [Range:1-2]

Value Label Cases Percentage
1 The Progress Party 920 47.2% 0.4720369
2 The Conservative Party 1029 52.8% 0.5279631
Sysmiss 11560 NA


r30_dvievx_ran3


Variable label: Experiment. Randomly selects an element for textpiping in [r30_dvievx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1949] [Invalid:11560] [Range:1-2]

Value Label Cases Percentage
1 Norwegian culture 979 50.2% 0.5023089
2 gay rights 970 49.8% 0.4976911
Sysmiss 11560 NA


r30_dvievx


Variable label: Agree/disagree: Should a leader of a local group be allowed to hold an event to criticise Islam?
Literal question:

Imagine that a [r30_dvievx_ran1] leader of a local group from [r30_dvievx_ran2] has asked to hold a public event to criticise Islam as a threat to [r30_dvievx_ran3].

To what extent do you agree or disagree that the [r30_dvievx_ran1] leader of the local group from [r30_dvievx_ran2] should be allowed to hold the event?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 344 17.7% 0.176500770
2 Agree 486 24.9% 0.249358645
3 Agree somewhat 264 13.5% 0.135454079
4 Neither agree nor disagree 171 8.8% 0.087737301
5 Disagree somewhat 202 10.4% 0.103642894
6 Disagree 281 14.4% 0.144176501
7 Strongly disagree 193 9.9% 0.099025141
97 Not answered 8 0.4% 0.004104669
98 Not asked 11560 NA


r30_dmimp_1


Variable label: How positive or negative do you think the following is to the current societal development: The climate and environmental movement
Pre-question text: How positive or negative do you perceive the impact of the following on societal development at the moment?
Literal question: The climate and environmental movement
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 1)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 171 8.8% 0.087737301
2 Positive 532 27.3% 0.272960493
3 Somewhat positive 548 28.1% 0.281169831
4 Neither positive nor negative 216 11.1% 0.110826065
5 Somewhat negative 255 13.1% 0.130836326
6 Negative 113 5.8% 0.057978450
7 Very negative 96 4.9% 0.049256029
97 Not answered 18 0.9% 0.009235505
98 Not asked 11560 NA


r30_dmimp_2


Variable label: How positive or negative do you think the following is to the current societal development: Feminism
Pre-question text: How positive or negative do you perceive the impact of the following on societal development at the moment?
Literal question: Feminism
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 1)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 122 6.3% 0.062596203
2 Positive 386 19.8% 0.198050282
3 Somewhat positive 420 21.5% 0.215495126
4 Neither positive nor negative 621 31.9% 0.318624936
5 Somewhat negative 237 12.2% 0.121600821
6 Negative 100 5.1% 0.051308363
7 Very negative 48 2.5% 0.024628014
97 Not answered 15 0.8% 0.007696254
98 Not asked 11560 NA


r30_dmimp_3


Variable label: How positive or negative do you think the following is to the current societal development: Immigration
Pre-question text: How positive or negative do you perceive the impact of the following on societal development at the moment?
Literal question: Immigration
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 1)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 31 1.6% 0.015905593
2 Positive 274 14.1% 0.140584915
3 Somewhat positive 535 27.4% 0.274499743
4 Neither positive nor negative 424 21.8% 0.217547460
5 Somewhat negative 397 20.4% 0.203694202
6 Negative 157 8.1% 0.080554130
7 Very negative 116 6.0% 0.059517701
97 Not answered 15 0.8% 0.007696254
98 Not asked 11560 NA


r30_dmimp_4


Variable label: How positive or negative do you think the following is to the current societal development: The EU (European Union)
Pre-question text: How positive or negative do you perceive the impact of the following on societal development at the moment?
Literal question: EU (European Union)
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 1)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 90 4.6% 0.046177527
2 Positive 334 17.1% 0.171369933
3 Somewhat positive 464 23.8% 0.238070806
4 Neither positive nor negative 436 22.4% 0.223704464
5 Somewhat negative 297 15.2% 0.152385839
6 Negative 184 9.4% 0.094407388
7 Very negative 132 6.8% 0.067727040
97 Not answered 12 0.6% 0.006157004
98 Not asked 11560 NA


r30_cpide2


Variable label: Do you consider yourself mostly a rural or urban person?
Literal question: If you had to choose, do you consider yourself mostly as a rural person or an urban person?
Post-question: It doesn’t matter where you live today, the question is where you feel you really belong.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 I consider myself mostly as a rural person. 886 45.5% 0.454592099
2 I consider myself mostly as an urban person. 1045 53.6% 0.536172396
97 Not answered 18 0.9% 0.009235505
98 Not asked 11560 NA


r30_cpids_pipe


Variable label: Assigns textpiping for [r30_cpids] based on [r30_cpide2].
Field period: 03.06.2024 - 04.07.2024
Technical description: [If [r30_cpids] = 1 the value is set to 1. If [r30_cpide2] = 2 the value is set to 2.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1931] [Invalid:11578] [Range:1-2]

Value Label Cases Percentage
1 a rural person 886 45.9% 0.4588296
2 an urban person 1045 54.1% 0.5411704
Sysmiss 11578 NA


r30_cpids


Variable label: How strongly do you feel like [r30_cpids]?
Literal question: How strongly do you feel like [r30_cpids_pipe]?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1) & (r30_cpide2 is answered)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very strong 253 13.0% 0.12981016
2 Strong 605 31.0% 0.31041560
3 Somewhat strong 746 38.3% 0.38276039
4 Not very strong 268 13.8% 0.13750641
5 Not at all strong 55 2.8% 0.02821960
97 Not answered 22 1.1% 0.01128784
98 Not asked 11560 NA


r30_cpfut


Variable label: Better or worse opportunities to create a future at the place where you currently live?
Literal question: In Norway, people live in different types of places. Some people live in towns and others live in villages. Thinking about the place where you live now, would you say there are better or worse opportunities for people to create a future there compared to elsewhere?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 There are much better opportunities 175 9.0% 0.089789636
2 There are better opportunities 733 37.6% 0.376090303
3 There are approximately equal opportunities 795 40.8% 0.407901488
4 There are poorer opportunities 216 11.1% 0.110826065
5 There are much poorer opportunities 21 1.1% 0.010774756
97 Not answered 9 0.5% 0.004617753
98 Not asked 11560 NA


r30_dmfosx_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r30_dmfosx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1948] [Invalid:11561] [Range:1-3]

Value Label Cases Percentage
1 racist 634 32.5% 0.3254620
2 religious conservative 659 33.8% 0.3382957
3 intolerant 655 33.6% 0.3362423
Sysmiss 11561 NA


r30_dmfosx


Variable label: Which formulation aligns best with your views: Freedom of speech should apply…
Literal question: Which formulation aligns best with your views? Freedom of speech should apply…
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 ...for everyone no matter how [r30_dmfosx_ran] they are. 840 43.1% 0.430990251
2 …only for those who are willing to give everyone else the same rights. 678 34.8% 0.347870703
3 None of these are at all suitable. 413 21.2% 0.211903540
97 Not answered 18 0.9% 0.009235505
98 Not asked 11560 NA


r30_dvlocx_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r30_dvlocx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1946] [Invalid:11563] [Range:1-5]

Value Label Cases Percentage
1 imams (Muslim priests) in Norway 363 18.7% 0.1865365
2 priests in the Church of Norway 377 19.4% 0.1937307
3 Norwegian, Muslim politicians 413 21.2% 0.2122302
4 Norwegian politicians 402 20.7% 0.2065776
5 politicians at the Sámi Parliament 391 20.1% 0.2009250
Sysmiss 11563 NA


r30_dvlocx


Variable label: Which of these two descriptions aligns best with your own impression: Most… [r30_dvlocx_ran]
Literal question: Which of these two descriptions aligns best with your own impression? Most… [r30_dvlocx_ran]
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 ...have the insights they need to serve the citizens in their communities well. 664 34.1% 0.34068753
2 ...need to learn more about what life is like for the citizens in their communities. 804 41.3% 0.41251924
3 None of the these are at all suitable. 423 21.7% 0.21703438
97 Not answered 58 3.0% 0.02975885
98 Not asked 11560 NA


r30_edcth


Variable label: Which formulation aligns best with your views?
Literal question: Which formulation aligns best with your views?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Teachers have a responsibility to ensure that the learning material does not make pupils feel threatened, degraded, or stressed. 235 12.1% 0.12057465
2 Among other things, learning involves learning to handle ideas that are challenging and sometimes even painful. 1521 78.0% 0.78040021
3 None of the these are at all suitable. 168 8.6% 0.08619805
97 Not answered 25 1.3% 0.01282709
98 Not asked 11560 NA


r30_dvretx_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r30_dvretx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1944] [Invalid:11565] [Range:1-3]

Value Label Cases Percentage
1 from Ukraine 654 33.6% 0.3364198
2 from non-European countries 625 32.2% 0.3215021
3 BLANK 665 34.2% 0.3420782
Sysmiss 11565 NA


r30_dvretx


Variable label: Agree/disagree: Norway should make its immigration policy stricter when it comes to refugees [r30_dvretx_ran]?
Literal question: To what extent do you agree or disagree that Norway should make its immigration policy stricter when it comes to refugees[r30_dvretx_ran]?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 244 12.5% 0.12519241
2 Agree 219 11.2% 0.11236532
3 Agree somewhat 493 25.3% 0.25295023
4 Neither agree nor disagree 404 20.7% 0.20728579
5 Disagree somewhat 270 13.9% 0.13853258
6 Disagree 239 12.3% 0.12262699
7 Strongly disagree 69 3.5% 0.03540277
97 Not answered 11 0.6% 0.00564392
98 Not asked 11560 NA


r30_dvreix


Variable label: How easy or difficult would you say it is to integrate refugees [r30_dvretx_ran] in Norway?
Literal question: How easy or difficult would you say it is to integrate refugees [r30_dvretx_ran] in Norway?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very easy 19 1.0% 0.009748589
2 Easy 85 4.4% 0.043612109
3 Fairly easy 190 9.7% 0.097485890
4 Neither easy nor difficult 333 17.1% 0.170856850
5 Fairly difficult 713 36.6% 0.365828630
6 Difficult 448 23.0% 0.229861467
7 Very difficult 127 6.5% 0.065161621
97 Not answered 34 1.7% 0.017444844
98 Not asked 11560 NA


r30_dvrecx


Variable label: Which of these statements aligns best with your views?
Literal question: Which of these statements aligns best with your views?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Norwegian municipalities should be able to choose which countries they are willing to accept refugees from. 587 30.1% 0.30118009
2 Norwegian municipalities should not be able to choose which countries they are willing to accept refugees from. 1337 68.6% 0.68599282
97 Not answered 25 1.3% 0.01282709
98 Not asked 11560 NA


r30_dmsblx_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r30_dmsblx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1943] [Invalid:11566] [Range:1-4]

Value Label Cases Percentage
1 women 473 24.3% 0.243438
2 minorities 467 24.0% 0.240350
3 immigrants 506 26.0% 0.260422
4 people 497 25.6% 0.255790
Sysmiss 11566 NA


r30_dmsblx


Variable label: Which formulation aligns best with your views? Scientific research that could cast [r30_dmsblx_ran] in a negative light should…
Literal question: Which formulation aligns best with your views? Scientific research that could cast [r30_dmsblx_ran] in a negative light should…
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 ...be permitted because the aim of science is to find out what is true, no matter what it is. 1444 74.1% 0.74089277
2 ...prohibited because the results can destroy their self-image. 65 3.3% 0.03335044
3 None of the these are at all suitable. 418 21.4% 0.21446896
97 Not answered 22 1.1% 0.01128784
98 Not asked 11560 NA


r30_lgbrlx_ran1


Variable label: Experiment. Randomly selects an element for textpiping in [r30_lgbrxl].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1942] [Invalid:11567] [Range:1-3]

Value Label Cases Percentage
1 BLANK 662 34.1% 0.3408857
2 Muslims in Norway 659 33.9% 0.3393409
3 Christians in Norway 621 32.0% 0.3197734
Sysmiss 11567 NA


r30_lgbrlx_ran2


Variable label: Experiment. Randomly selects an element for textpiping in [r30_lgbrxl].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1942] [Invalid:11567] [Range:1-2]

Value Label Cases Percentage
1 fairness for vulnerable groups in society 970 49.9% 0.4994851
2 to protect all life, including the unborn 972 50.1% 0.5005149
Sysmiss 11567 NA


r30_lgbrlx


Variable label: What aligns best with your view: Is it okay to break laws and regulations in the fight for [r30_lgbrlx_ran2].
Literal question: Some [r30_lgbrlx_ran1] believe it is okay to break laws and regulations in the fight for [r30_lgbrlx_ran2]. Other [r30_lgbrlx_ran1] believe that we all have an obligation to follow laws and regulations, even if we personally disagree with them. What aligns best with your views?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 It is acceptable to break laws and regulations in the fight for [r30_lgbrlx_ran2]. 129 6.6% 0.066187789
2 We all have an obligation to follow laws and regulations even if we personally disagree. 1576 80.9% 0.808619805
3 None of the these are at all suitable. 226 11.6% 0.115956901
97 Not answered 18 0.9% 0.009235505
98 Not asked 11560 NA


r30_dmcisx_ran1


Variable label: Experiment. Randomly selects an element for textpiping in [r30_dmcisx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1942] [Invalid:11567] [Range:1-3]

Value Label Cases Percentage
1 Anti-Islamic groups on the far right 634 32.6% 0.3264676
2 People who are not Muslims themselves 677 34.9% 0.3486097
3 People with a background from a Muslim country 631 32.5% 0.3249228
Sysmiss 11567 NA


r30_dmcisx_ran2


Variable label: Experiment. Randomly selects an element for textpiping in [r30_dmcisx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1942] [Invalid:11567] [Range:1-3]

Value Label Cases Percentage
1 criticise Islam 650 33.5% 0.3347065
2 criticise conservative notions of women’s position in Islam 634 32.6% 0.3264676
3 burn the Muslims’ holy book, the Qur’an 658 33.9% 0.3388260
Sysmiss 11567 NA


r30_dmcisx


Variable label: Which of these two statements aligns best with your views: [r30_dmcisx_ran] who [r30_dmcisx_ran2] in public in Norway should…
Literal question:

Which of these two statements aligns best with your views?

[r30_dmcisx_ran1] who [r30_dmcisx_ran2] in public in Norway should…
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 ...stop doing it because it creates unnecessary conflict between Muslims and other people in society. 778 39.9% 0.39917907
2 …continue doing it because everyone must tolerate that this is how democracy works. 852 43.7% 0.43714726
3 None of the these are at all suitable. 291 14.9% 0.14930734
97 Not answered 28 1.4% 0.01436634
98 Not asked 11560 NA


r30_ce1stx_ce2ndx_ranorder


Variable label: Experiment. Randomly selects the order of [r30_ce1stx] and [r30_ce2ndx], and whether the respondent is exposed to the questions together or separate.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Randomized if (r30_group = 1)]

[If [r30_ce1stx_ce2ndx_ranorder] = 1 the respondent was exposed to [r30_ce1stx] after [r30_dmcisx], and to [r30_ce2ndx] after [r30_dmevax]. If [r30_ce1stx_ce2ndx_ranorder] = 2 the respondent was exposed to [r30_ce2ncdx] after [r30_dmcisx], and to [r30_ce1stx] after [r30_dmevax]. If [r30_ce1stx_ce2ndx_ranorder] = 3, 4 the respondent was exposed to both questions after [r30_dmccisx].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1942] [Invalid:11567] [Range:1-4]

Value Label Cases Percentage
1 Separated, r30_ce1stx first, then r30_ce2ndx 478 24.6% 0.2461380
2 Separated, r30_ce2ndx first, then r30_ce1stx 484 24.9% 0.2492276
3 Together, r30_ce1stx first, then r30_ce2ndx 487 25.1% 0.2507724
4 Together, r30_ce2ndx first, then r30_ce1stx 493 25.4% 0.2538620
Sysmiss 11567 NA


r30_ce1stx_ran1


Variable label: Experiment. Randomly selects an element for textpiping in [r30_ce1stx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1942] [Invalid:11567] [Range:1-2]

Value Label Cases Percentage
1 throughout Europe 967 49.8% 0.4979403
2 in Norway 975 50.2% 0.5020597
Sysmiss 11567 NA


r30_ce1stx_ran2


Variable label: Experiment. Randomly selects an element for textpiping in [r30_ce1stx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1942] [Invalid:11567] [Range:1-2]

Value Label Cases Percentage
1 joint European 935 48.1% 0.4814624
2 BLANK 1007 51.9% 0.5185376
Sysmiss 11567 NA


r30_ce1stx_pipe3


Variable label: Experiment. Selects an element for textpiping in [r30_ce1stx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [If [r30_ce1stx_ran2] = 1 the value is set to 1. If [r30_ce1stx_ran2] = 2 the value is set to 2.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1942] [Invalid:11567] [Range:1-2]

Value Label Cases Percentage
1 BLANK 935 48.1% 0.4814624
2 in Norway 1007 51.9% 0.5185376
Sysmiss 11567 NA


r30_ce1stx_ran4


Variable label: Experiment. Randomly selects an element for textpiping in [r30_ce1stx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1942] [Invalid:11567] [Range:1-2]

Value Label Cases Percentage
1 close to where you live 974 50.2% 0.5015448
2 in Norway 968 49.8% 0.4984552
Sysmiss 11567 NA


r30_ce1stx_ran5


Variable label: Experiment. Randomly selects an element for textpiping in [r30_ce1stx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1942] [Invalid:11567] [Range:1-2]

Value Label Cases Percentage
1 in the area where you live 978 50.4% 0.5036045
2 in Norway 964 49.6% 0.4963955
Sysmiss 11567 NA


r30_ce2ndx_pipe1


Variable label: Experiment. Selects an element for textpiping in [r30_ce2ndx] based on randomisation in [r30_ce1stx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [If [r30_ce1stx_ran1] = 1 the value is set to 1. If [r30_ce1stx_ran1] = 2 the value is set to 2.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1942] [Invalid:11567] [Range:1-2]

Value Label Cases Percentage
1 throughout Europe 967 49.8% 0.4979403
2 in Norway 975 50.2% 0.5020597
Sysmiss 11567 NA


r30_ce2ndx_pipe2


Variable label: Experiment. Selects an element for textpiping in [r30_ce2ndx] based on randomisation in [r30_ce1stx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [If [r30_ce1stx_ran2] = 1 the value is set to 1. If [r30_ce1stx_ran2] = 2 the value is set to 2.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1942] [Invalid:11567] [Range:1-2]

Value Label Cases Percentage
1 joint European 935 48.1% 0.4814624
2 BLANK 1007 51.9% 0.5185376
Sysmiss 11567 NA


r30_ce2ndx_pipe3


Variable label: Experiment. Selects an element for textpiping in [r30_ce2ndx] based on randomisation in [r30_ce1stx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [If [r30_ce1stx_pipe3] = 1 the value is set to 1. If [r30_ce1stx_pipe3] = 2 the value is set to 2.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1942] [Invalid:11567] [Range:1-2]

Value Label Cases Percentage
1 BLANK 935 48.1% 0.4814624
2 in Norway 1007 51.9% 0.5185376
Sysmiss 11567 NA


r30_ce2ndx_pipe4


Variable label: Experiment. Selects an element for textpiping in [r30_ce2ndx] based on randomisation in [r30_ce1stx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [If [r30_ce1stx_ran4] = 1 the value is set to 1. If [r30_ce1stx_ran4] = 2 the value is set to 2.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1942] [Invalid:11567] [Range:1-2]

Value Label Cases Percentage
1 close to where they live 974 50.2% 0.5015448
2 in Norway 968 49.8% 0.4984552
Sysmiss 11567 NA


r30_ce2ndx_pipe5


Variable label: Experiment. Selects an element for textpiping in [r30_ce2ndx] based on randomisation in [r30_ce1stx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [If [r30_ce1stx_ran5] = 1 the value is set to 1. If [r30_ce1stx_ran5] = 2 the value is set to 2.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1942] [Invalid:11567] [Range:1-2]

Value Label Cases Percentage
1 in the area where they live 978 50.4% 0.5036045
2 in Norway 964 49.6% 0.4963955
Sysmiss 11567 NA


r30_ceagrx_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r30_ceagrx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1942] [Invalid:11567] [Range:1-2]

Value Label Cases Percentage
1 BLANK 963 49.6% 0.4958805
2 Many experts point out that agricultural restructuring is needed to avoid harmful climate change. It may mean significant changes in how and what farmers should produce. Farmers in Europe have objected to such changes because they believe it imposes unfair costs on them. They fear that many farms will have to shut down. 979 50.4% 0.5041195
Sysmiss 11567 NA


r30_pollp1


Variable label: Among the political parties in the Storting, which do you like the least?
Literal question:

There are many parties to vote for in the Norwegian political system.

Among the national political parties currently in the Storting, which party do you like the least?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 1)]

[Answer list display order: Randomized]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-9]

Value Label Cases Percentage
1 The Christian Democrats 100 5.1% 0.05130836
2 The Conservative Party 51 2.6% 0.02616727
3 The Progress Party 739 37.9% 0.37916880
4 The Liberal Party 40 2.1% 0.02052335
5 The Socialist Left Party 70 3.6% 0.03591585
6 The Centre Party 125 6.4% 0.06413545
7 The Green Party 308 15.8% 0.15802976
8 The Labour Party 92 4.7% 0.04720369
9 The Red Party 391 20.1% 0.20061570
97 Not answered 33 1.7% 0.01693176
98 Not asked 11560 NA


r30_poope_1


Variable label: Which of the following feelings align the best with the feelings you have towards [r30_pollp1]: Angry
Pre-question text: Which of the following words best describes the feelings you have towards [r30_pollp1]? You can choose more than one feeling if you wish.
Literal question: Angry
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_pollp1 is answered) & (r30_group = 1)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 297 15.2% 0.15238584
0 Not selected 1619 83.1% 0.83068240
97 Not answered 33 1.7% 0.01693176
98 Not asked 11560 NA


r30_poope_2


Variable label: Which of the following feelings align the best with the feelings you have towards [r30_pollp1]: Hatefulness
Pre-question text: Which of the following words best describes the feelings you have towards [r30_pollp1]? You can choose more than one feeling if you wish.
Literal question: Hatefulness
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_pollp1 is answered) & (r30_group = 1)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 80 4.1% 0.04104669
0 Not selected 1836 94.2% 0.94202155
97 Not answered 33 1.7% 0.01693176
98 Not asked 11560 NA


r30_poope_3


Variable label: Which of the following feelings align the best with the feelings you have towards [r30_pollp1]: Afraid
Pre-question text: Which of the following words best describes the feelings you have towards [r30_pollp1]? You can choose more than one feeling if you wish.
Literal question: Afraid
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_pollp1 is answered) & (r30_group = 1)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 167 8.6% 0.08568497
0 Not selected 1749 89.7% 0.89738327
97 Not answered 33 1.7% 0.01693176
98 Not asked 11560 NA


r30_poope_4


Variable label: Which of the following feelings align the best with the feelings you have towards [r30_pollp1]: Worried
Pre-question text: Which of the following words best describes the feelings you have towards [r30_pollp1]? You can choose more than one feeling if you wish.
Literal question: Worried
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_pollp1 is answered) & (r30_group = 1)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 1059 54.3% 0.54335557
0 Not selected 857 44.0% 0.43971267
97 Not answered 33 1.7% 0.01693176
98 Not asked 11560 NA


r30_poope_5


Variable label: Which of the following feelings align the best with the feelings you have towards [r30_pollp1]: Repulsed
Pre-question text: Which of the following words best describes the feelings you have towards [r30_pollp1]? You can choose more than one feeling if you wish.
Literal question: Repulsed
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_pollp1 is answered) & (r30_group = 1)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 515 26.4% 0.26423807
0 Not selected 1401 71.9% 0.71883017
97 Not answered 33 1.7% 0.01693176
98 Not asked 11560 NA


r30_poope_6


Variable label: Which of the following feelings align the best with the feelings you have towards [r30_pollp1]: Disappointed
Pre-question text: Which of the following words best describes the feelings you have towards [r30_pollp1]? You can choose more than one feeling if you wish.
Literal question: Disappointed
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_pollp1 is answered) & (r30_group = 1)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 439 22.5% 0.22524371
0 Not selected 1477 75.8% 0.75782453
97 Not answered 33 1.7% 0.01693176
98 Not asked 11560 NA


r30_poope_7


Variable label: Which of the following feelings align the best with the feelings you have towards [r30_pollp1]: None of these
Pre-question text: Which of the following words best describes the feelings you have towards [r30_pollp1]? You can choose more than one feeling if you wish.
Literal question: None of these
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_pollp1 is answered) & (r30_group = 1)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 248 12.7% 0.12724474
0 Not selected 1668 85.6% 0.85582350
97 Not answered 33 1.7% 0.01693176
98 Not asked 11560 NA


r30_pocevx_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r30_pocevx].
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Randomized if (r30_group = 1)]

[If [r30_pcpar] and [r30_pollp1] is answered the value is randomly selected between 1, 2, or 3. If [r30_pcpar] is not answered the value is randomly selected between 2, and 3. If [r30_pollp1] is not answered the value is randomly selected between 1, and 2. If none of the above is answered the value is set to 2.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1933] [Invalid:11576] [Range:1-3]

Value Label Cases Percentage
1 from [r30_pcpar] 590 30.5% 0.3052250
2 BLANK 688 35.6% 0.3559234
3 from [r30_pollp1] 655 33.9% 0.3388515
Sysmiss 11576 NA


r30_pocevx


Variable label: Agree/disagree: Withdraw invitation to politician because of recently posted hateful comments
Literal question:

Imagine that a politician[r30_pocevx_ran] has been invited to speak at a public debate at a university. Some people believe that the university should withdraw the invitation because the politician in question recently posted hateful comments online. The comments were removed by the website because they violated their policies.

To what extent do you agree or disagree that the university should withdraw the invitation to the politician?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_pollp1 is answered) & (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 308 15.8% 0.15802976
2 Agree 378 19.4% 0.19394561
3 Agree somewhat 320 16.4% 0.16418676
4 Neither agree nor disagree 276 14.2% 0.14161108
5 Disagree somewhat 189 9.7% 0.09697281
6 Disagree 303 15.5% 0.15546434
7 Strongly disagree 139 7.1% 0.07131862
97 Not answered 36 1.8% 0.01847101
98 Not asked 11560 NA


r30_dvredx_ran


Variable label: Experiment. Randomly selects an element for for textpiping in [r30_dvredx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1933] [Invalid:11576] [Range:1-3]

Value Label Cases Percentage
1 all 653 33.8% 0.3378169
2 Islam, which is among 639 33.1% 0.3305742
3 the Catholic faith, which is among 641 33.2% 0.3316089
Sysmiss 11576 NA


r30_dvredx


Variable label: Agree/disagree: Norwegian universities should offer educational programmes for religious leaders for [r30_dvredx_ran] even if it means fewer resources for educational programmes for priests in the Church of Norway.
Literal question: To what extent do you agree or disagree with the following statements? Norwegian universities and university colleges should offer educational programmes for religious leaders for [r30_dvredx_ran] the largest minority religions in Norway, even if this means there will be fewer resources for educational programmes for priests in the Church of Norway.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 49 2.5% 0.02514110
2 Agree 146 7.5% 0.07491021
3 Agree somewhat 223 11.4% 0.11441765
4 Neither agree nor disagree 524 26.9% 0.26885582
5 Disagree somewhat 203 10.4% 0.10415598
6 Disagree 368 18.9% 0.18881478
7 Strongly disagree 410 21.0% 0.21036429
97 Not answered 26 1.3% 0.01334017
98 Not asked 11560 NA


r30_dvfavx_ran


Variable label: Experiment. Randomly selects an element for for textpiping in [r30_dvfavx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1933] [Invalid:11576] [Range:1-4]

Value Label Cases Percentage
1 Muslims 465 24.1% 0.2405587
2 Sámi people 466 24.1% 0.2410760
3 Catholics 528 27.3% 0.2731505
4 Christians 474 24.5% 0.2452147
Sysmiss 11576 NA


r30_dvfavx_pipe1


Variable label: Experiment. Selects an element for textpiping in [r30_dvfavx] based on [r30_dvfavx_ran].
Field period: 03.06.2024 - 04.07.2024
Technical description: [If [r30_dvfavx_ran] = 1, 3, 4 the value is set to 1. If [r30_dvfavx_ran] = 2 the value is set to 2.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1933] [Invalid:11576] [Range:1-2]

Value Label Cases Percentage
1 religious affiliation 1467 75.9% 0.758924
2 Sámi identity 466 24.1% 0.241076
Sysmiss 11576 NA


r30_dvfavx_pipe2


Variable label: Experiment. Selects an element for textpiping in [r30_dvfavx] based on [r30_dvfavx_ran].
Field period: 03.06.2024 - 04.07.2024
Technical description: [If [r30_dvfavx_ran] = 1, 3, 4 the value is set to 1. If [r30_dvfavx_ran] = 2 the value is set to 2.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1933] [Invalid:11576] [Range:1-2]

Value Label Cases Percentage
1 the right religious affiliation 1467 75.9% 0.758924
2 Sámi identity 466 24.1% 0.241076
Sysmiss 11576 NA


r30_dvfavx_pipe3


Variable label: Experiment. Selects an element for textpiping in [r30_dvfavx] based on [r30_dvfavx_ran].
Field period: 03.06.2024 - 04.07.2024
Technical description: [If [r30_dvfavx_ran] = 1, 3, 4 the value is set to 1. If [r30_dvfavx_ran] = 2 the value is set to 2.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1933] [Invalid:11576] [Range:1-2]

Value Label Cases Percentage
1 applicants without the right religious affiliation 1467 75.9% 0.758924
2 non-Sámi applicants 466 24.1% 0.241076
Sysmiss 11576 NA


r30_dvfavx


Variable label: Which of the following statements align best with your views: Organisations that receive public funding to represent the interests of [r30_dvfavx_ran] should…
Literal question: Which of the following statements align best with your views? Organisations that receive public funding to represent the interests of [r30_dvfavx_ran] should…
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 ...follow the same anti-discrimination provisions as everyone else and should not be allowed to favour applicants based on [r30_dvfavx_pipe1] when employing. 1247 64.0% 0.63981529
2 ...are allowed to favour applicants with [r30_dvfavx_pipe2] because of the organisations’ distinctive mission, even if this results in better-qualified [r30_dvfavx_pipe3] being discriminated against. 392 20.1% 0.20112878
3 None of these are at all suitable. 270 13.9% 0.13853258
97 Not answered 40 2.1% 0.02052335
98 Not asked 11560 NA


r30_eqsxrx_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r30_eqsxrx], [r30_eqsxcx] and [r30_eqsxmx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1933] [Invalid:11576] [Range:1-2]

Value Label Cases Percentage
1 unwanted sexual attention 999 51.7% 0.5168132
2 sexual harassment 934 48.3% 0.4831868
Sysmiss 11576 NA


r30_eqsxrx


Variable label: Agree/disagree: It is women´s own responsibility to avoid [r30_eqsxrx_ran]
Literal question: To what extent do you agree or disagree that it is women’s own responsibility to avoid [r30_eqsxrx_ran]?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 22 1.1% 0.01128784
2 Agree 60 3.1% 0.03078502
3 Agree somewhat 225 11.5% 0.11544382
4 Neither agree nor disagree 131 6.7% 0.06721396
5 Disagree somewhat 195 10.0% 0.10005131
6 Disagree 541 27.8% 0.27757825
7 Strongly disagree 750 38.5% 0.38481272
97 Not answered 25 1.3% 0.01282709
98 Not asked 11560 NA


r30_eqsxcx


Variable label: Agree/disagree: Women create more problems than they solve when they complain about [r30_eqsxrx_ran]
Literal question: To what extent do you agree or disagree that women create more problems than they solve when they complain about [r30_eqsxrx_ran]?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 8 0.4% 0.004104669
2 Agree 48 2.5% 0.024628014
3 Agree somewhat 134 6.9% 0.068753207
4 Neither agree nor disagree 234 12.0% 0.120061570
5 Disagree somewhat 207 10.6% 0.106208312
6 Disagree 547 28.1% 0.280656747
7 Strongly disagree 722 37.0% 0.370446383
97 Not answered 49 2.5% 0.025141098
98 Not asked 11560 NA


r30_eqsxmx


Variable label: What do you think about the amount of attention #MeToo and [r30_eqsxrx_ran] gets in Norway today?
Literal question: The 2017 #MeToo campaign was a global social movement against sexual harassment and abuse. It also left its mark on the Norwegian public debate in the years that followed. What do you think about the amount of attention that #MeToo and [r30_eqsxrx_ran] get in Norway today?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Far too much 59 3.0% 0.03027193
2 Too much 111 5.7% 0.05695228
3 A bit too much 315 16.2% 0.16162134
4 Neither too much nor too little 897 46.0% 0.46023602
5 A bit too little 310 15.9% 0.15905593
6 Too little 173 8.9% 0.08876347
7 Far too little 58 3.0% 0.02975885
97 Not answered 26 1.3% 0.01334017
98 Not asked 11560 NA


r30_dmrsyx_ran1


Variable label: Experiment. Randomly selects an element for textpiping in [r30_dmrsyx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1933] [Invalid:11576] [Range:1-3]

Value Label Cases Percentage
1 criticise 656 33.9% 0.3393689
2 ridicule 650 33.6% 0.3362649
3 degrade 627 32.4% 0.3243663
Sysmiss 11576 NA


r30_dmrsyx_ran2


Variable label: Experiment. Randomly selects an element for textpiping in [r30_dmrsyx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1933] [Invalid:11576] [Range:1-3]

Value Label Cases Percentage
1 Muslims 678 35.1% 0.3507501
2 Catholics 660 34.1% 0.3414382
3 Jews 595 30.8% 0.3078117
Sysmiss 11576 NA


r30_dmrsyx


Variable label: Which of the following statements align best with your views: People who [r30_dmrsyx_ran1] religious symbols that are sacred to people of believing [r30_dmrsyx_ran2] should…
Literal question: Which of the following statements align best with your views? People who [r30_dmrsyx_ran1] religious symbols that are sacred to people of believing [r30_dmrsyx_ran2] should…
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 ...stop because it leads to unnecessary conflict and division between groups in society. 1061 54.4% 0.54438173
2 …continue because everyone must learn to live with the way democracy functions. 520 26.7% 0.26680349
3 None of these are at all suitable. 331 17.0% 0.16983068
97 Not answered 37 1.9% 0.01898409
98 Not asked 11560 NA


r30_dmevax_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r30_dmevax].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1933] [Invalid:11576] [Range:1-3]

Value Label Cases Percentage
1 Christian 644 33.3% 0.3331609
2 Muslim 626 32.4% 0.3238489
3 student 663 34.3% 0.3429902
Sysmiss 11576 NA


r30_dmevax


Variable label: What aligns best with your views: The controversial speaker´s invitation should…
Literal question: Imagine the following: Recently, a [r30_dmevax_ran] organization invited a controversial speaker who has argued against abortion on religious grounds. A large group of students reacted strongly, stating that such anti-abortion views are misogynistic. They want the invitation to be withdrawn. What aligns best with your views? The invitation should…
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 ...be withdrawn because many students experience the message as misogynistic. 429 22.0% 0.22011288
2 ...be maintained because students learn from hearing arguments that they strongly react to, even if they find them to be misogynistic. 1140 58.5% 0.58491534
3 None of these are at all suitable. 335 17.2% 0.17188302
97 Not answered 45 2.3% 0.02308876
98 Not asked 11560 NA


r30_plrel


Variable label: How religious would you say you are?
Literal question: Regardless of whether you belong to a particular religion, how religious would you say you are?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Numeric] [Format:numeric] [Valid:1874] [Invalid:11635] [Range:0-10]

Value Label Cases Percentage
0 0 - Not religious at all 600 32.0% 0.32017076
1 1 299 16.0% 0.15955176
2 2 216 11.5% 0.11526147
3 3 164 8.8% 0.08751334
4 4 94 5.0% 0.05016009
5 5 182 9.7% 0.09711846
6 6 103 5.5% 0.05496265
7 7 88 4.7% 0.04695838
8 8 68 3.6% 0.03628602
9 9 39 2.1% 0.02081110
10 10 - Very religious 21 1.1% 0.01120598
Sysmiss 11635 NA


r30_dvdis


Variable label: Would you say you belong to a group that is being discriminated against in this country?
Literal question: Would you say you belong to a group that is being discriminated against in this country?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 180 9.2% 0.09235505
2 No 1727 88.6% 0.88609543
97 Not answered 42 2.2% 0.02154951
98 Not asked 11560 NA


r30_dvdisr_1


Variable label: Why is the group discriminated against: Skin colour
Pre-question text: Why is the group discriminated against?
Literal question: Skin colour
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_dvdis = 1) & (r30_group = 1)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 18 10.0% 0.1
0 Not selected 162 90.0% 0.9
97 Not answered 0 0.0% 0.0
98 Not asked 13329 NA


r30_dvdisr_2


Variable label: Why is the group discriminated against: Nationality
Pre-question text: Why is the group discriminated against?
Literal question: Nationality
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_dvdis = 1) & (r30_group = 1)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 16 8.9% 0.08888889
0 Not selected 164 91.1% 0.91111111
97 Not answered 0 0.0% 0.00000000
98 Not asked 13329 NA


r30_dvdisr_3


Variable label: Why is the group discriminated against: Religion
Pre-question text: Why is the group discriminated against?
Literal question: Religion
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_dvdis = 1) & (r30_group = 1)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 37 20.6% 0.2055556
0 Not selected 143 79.4% 0.7944444
97 Not answered 0 0.0% 0.0000000
98 Not asked 13329 NA


r30_dvdisr_4


Variable label: Why is the group discriminated against: Language
Pre-question text: Why is the group discriminated against?
Literal question: Language
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_dvdis = 1) & (r30_group = 1)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 7 3.9% 0.03888889
0 Not selected 173 96.1% 0.96111111
97 Not answered 0 0.0% 0.00000000
98 Not asked 13329 NA


r30_dvdisr_5


Variable label: Why is the group discriminated against: Ethnic affiliation
Pre-question text: Why is the group discriminated against?
Literal question: Ethnic affiliation
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_dvdis = 1) & (r30_group = 1)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 21 11.7% 0.1166667
0 Not selected 159 88.3% 0.8833333
97 Not answered 0 0.0% 0.0000000
98 Not asked 13329 NA


r30_dvdisr_6


Variable label: Why is the group discriminated against: Age
Pre-question text: Why is the group discriminated against?
Literal question: Age
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_dvdis = 1) & (r30_group = 1)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 27 15.0% 0.15
0 Not selected 153 85.0% 0.85
97 Not answered 0 0.0% 0.00
98 Not asked 13329 NA


r30_dvdisr_7


Variable label: Why is the group discriminated against: Gender
Pre-question text: Why is the group discriminated against?
Literal question: Gender
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_dvdis = 1) & (r30_group = 1)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 63 35.0% 0.35
0 Not selected 117 65.0% 0.65
97 Not answered 0 0.0% 0.00
98 Not asked 13329 NA


r30_dvdisr_8


Variable label: Why is the group discriminated against: Sexual orientation
Pre-question text: Why is the group discriminated against?
Literal question: Sexual orientation
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_dvdis = 1) & (r30_group = 1)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 32 17.8% 0.1777778
0 Not selected 148 82.2% 0.8222222
97 Not answered 0 0.0% 0.0000000
98 Not asked 13329 NA


r30_dvdisr_9


Variable label: Why is the group discriminated against: Disability
Pre-question text: Why is the group discriminated against?
Literal question: Disability
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_dvdis = 1) & (r30_group = 1)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 26 14.4% 0.1444444
0 Not selected 154 85.6% 0.8555556
97 Not answered 0 0.0% 0.0000000
98 Not asked 13329 NA


r30_dvdisr_10


Variable label: Why is the group discriminated against: Other (please state):
Pre-question text: Why is the group discriminated against?
Literal question: Other (please state):
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_dvdis = 1) & (r30_group = 1)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 29 16.1% 0.1611111
0 Not selected 151 83.9% 0.8388889
97 Not answered 0 0.0% 0.0000000
98 Not asked 13329 NA


r30_dvdisr_10_other


Variable label: Why is the group discriminated against: Other (please state):
Literal question: Other (please state):
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_dvdis = 1) & (r30_group = 1)]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Multi - Other] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_cpgup


Variable label: Did you mostly live in a village/rural part of Norway during your upbringing?
Literal question: Did you mostly live in a village/rural part of Norway during your upbringing?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 974 50.0% 0.49974346
2 No 923 47.4% 0.47357619
97 Not answered 52 2.7% 0.02668035
98 Not asked 11560 NA


r30_pcpin


Variable label: How interested are you in politics?
Literal question: In general, how interested are you in politics?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 6 )]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very interested 362 10.1% 0.100919989
2 Interested 1168 32.6% 0.325620296
3 Somewhat interested 1268 35.3% 0.353498745
4 Not very interested 637 17.8% 0.177585726
5 Not interested at all 145 4.0% 0.040423752
97 Not answered 7 0.2% 0.001951491
98 Not asked 9922 NA


r30_pcmipo_1


Variable label: Open: What are the most important political issues or areas for you personally? (1)
Pre-question text: What are the most important political issues or areas for you personally?
Literal question: 1:
Post-question: Please list the three most important issues where 1 is the most important, 2 the second most important and 3 is the third most important.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 6 )]

[Displayed on the same page as [r30_pcmipo_2] and [r30_pcmipo_3]]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open Text List] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_pcmipo_1_coded1


Variable label: Open: What are the most important political issues or areas for you personally? (1)
Pre-question text: What are the most important political issues or areas for you personally?
Literal question: 1:
Post-question: Please list the three most important issues where 1 is the most important, 2 the second most important and 3 is the third most important.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 6 )]

[Displayed on the same page as [r30_pcmipo_2] and [r30_pcmipo_3]]

[This question is asked as an open text answer, where the respondent can write in three boxes, one for each issue. Here, the issues are manually coded into higher-level categories, according to a coding scheme. Contact us if you want to know more.]
Technical attributes: [Question type:Open Text List] [Format:integer] [Valid:3218] [Invalid:10291] [Range:-]

Value Label Cases Percentage
1001 Health 507 15.8% 0.157551274
2002 Environment 469 14.6% 0.145742697
3003 Education 298 9.3% 0.092604102
4004 Public infrastructure 66 2.1% 0.020509633
5005 Immigration 131 4.1% 0.040708515
6006 Economy (private and societal) 452 14.0% 0.140459913
7007 Labour 99 3.1% 0.030764450
8008 Welfare 213 6.6% 0.066190180
9009 Equality 126 3.9% 0.039154755
1010 Culture 25 0.8% 0.007768800
1111 Defence 25 0.8% 0.007768800
1212 Justice 60 1.9% 0.018645121
1313 Industry and trade 145 4.5% 0.045059043
1414 Foreign affairs 103 3.2% 0.032007458
1515 Regional / urban-rural 36 1.1% 0.011187073
1616 International 45 1.4% 0.013983841
1717 Senior citizen policies 19 0.6% 0.005904288
1818 Family 141 4.4% 0.043816035
1919 Tradition 15 0.5% 0.004661280
2020 Democracy 28 0.9% 0.008701057
2121 Ideology 6 0.2% 0.001864512
2222 Freedom (and responsibility) 50 1.6% 0.015537601
2323 Public and private sector 56 1.7% 0.017402113
2424 Ethics 30 0.9% 0.009322561
3030 Other 43 1.3% 0.013362337
9696 Incomplete answers / Do not know 17 0.5% 0.005282784
9797 Unanswered 13 0.4% 0.004039776
Sysmiss 10291 NA


r30_pcmipo_2


Variable label: Open: What are the most important political issues or areas for you personally? (2)
Pre-question text: What are the most important political issues or areas for you personally?
Literal question: 2:
Post-question: Please list the three most important issues where 1 is the most important, 2 the second most important and 3 is the third most important.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 6 )]

[Displayed on the same page as [r30_pcmipo_1] and [r30_pcmipo_3]]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open Text List] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_pcmipo_2_coded1


Variable label: Open: What are the most important political issues or areas for you personally? (2)
Pre-question text: What are the most important political issues or areas for you personally?
Literal question: 2:
Post-question: Please list the three most important issues where 1 is the most important, 2 the second most important and 3 is the third most important.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 6 )]

[Displayed on the same page as [r30_pcmipo_1] and [r30_pcmipo_3]]

[This question is asked as an open text answer, where the respondent can write in three boxes, one for each issue. Here, the issues are manually coded into higher-level categories, according to a coding scheme. Contact us if you want to know more.]
Technical attributes: [Question type:Open Text List] [Format:integer] [Valid:3171] [Invalid:10338] [Range:-]

Value Label Cases Percentage
1001 Health 457 14.4% 0.144118575
2002 Environment 421 13.3% 0.132765689
3003 Education 359 11.3% 0.113213497
4004 Public infrastructure 126 4.0% 0.039735099
5005 Immigration 175 5.5% 0.055187638
6006 Economy (private and societal) 393 12.4% 0.123935667
7007 Labour 112 3.5% 0.035320088
8008 Welfare 233 7.3% 0.073478398
9009 Equality 93 2.9% 0.029328288
1010 Culture 28 0.9% 0.008830022
1111 Defence 42 1.3% 0.013245033
1212 Justice 72 2.3% 0.022705771
1313 Industry and trade 150 4.7% 0.047303690
1414 Foreign affairs 84 2.6% 0.026490066
1515 Regional / urban-rural 33 1.0% 0.010406812
1616 International 42 1.3% 0.013245033
1717 Senior citizen policies 16 0.5% 0.005045727
1818 Family 105 3.3% 0.033112583
1919 Tradition 7 0.2% 0.002207506
2020 Democracy 16 0.5% 0.005045727
2121 Ideology 7 0.2% 0.002207506
2222 Freedom (and responsibility) 40 1.3% 0.012614317
2323 Public and private sector 53 1.7% 0.016713970
2424 Ethics 27 0.9% 0.008514664
3030 Other 54 1.7% 0.017029328
9696 Incomplete answers / Do not know 18 0.6% 0.005676443
9797 Unanswered 8 0.3% 0.002522863
Sysmiss 10338 NA


r30_pcmipo_3


Variable label: Open: What are the most important political issues or areas for you personally? (3)
Pre-question text: What are the most important political issues or areas for you personally?
Literal question: 3:
Post-question: Please list the three most important issues where 1 is the most important, 2 the second most important and 3 is the third most important.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 6 )]

[Displayed on the same page as [r30_pcmipo_1] and [r30_pcmipo_2]]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open Text List] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_pcmipo_3_coded1


Variable label: Open: What are the most important political issues or areas for you personally? (3)
Pre-question text: What are the most important political issues or areas for you personally?
Literal question: 3:
Post-question: Please list the three most important issues where 1 is the most important, 2 the second most important and 3 is the third most important.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 6 )]

[Displayed on the same page as [r30_pcmipo_1] and [r30_pcmipo_2]]

[This question is asked as an open text answer, where the respondent can write in three boxes, one for each issue. Here, the issues are manually coded into higher-level categories, according to a coding scheme. Contact us if you want to know more.]
Technical attributes: [Question type:Open Text List] [Format:integer] [Valid:3054] [Invalid:10455] [Range:-]

Value Label Cases Percentage
1001 Health 386 12.6% 0.1263916176
2002 Environment 417 13.7% 0.1365422397
3003 Education 283 9.3% 0.0926653569
4004 Public infrastructure 148 4.8% 0.0484610347
5005 Immigration 205 6.7% 0.0671250819
6006 Economy (private and societal) 340 11.1% 0.1113294041
7007 Labour 93 3.0% 0.0304518664
8008 Welfare 207 6.8% 0.0677799607
9009 Equality 102 3.3% 0.0333988212
1010 Culture 64 2.1% 0.0209561231
1111 Defence 42 1.4% 0.0137524558
1212 Justice 72 2.4% 0.0235756385
1313 Industry and trade 133 4.4% 0.0435494434
1414 Foreign affairs 121 4.0% 0.0396201703
1515 Regional / urban-rural 36 1.2% 0.0117878193
1616 International 40 1.3% 0.0130975769
1717 Senior citizen policies 19 0.6% 0.0062213491
1818 Family 74 2.4% 0.0242305174
1919 Tradition 3 0.1% 0.0009823183
2020 Democracy 24 0.8% 0.0078585462
2121 Ideology 6 0.2% 0.0019646365
2222 Freedom (and responsibility) 44 1.4% 0.0144073346
2323 Public and private sector 63 2.1% 0.0206286837
2424 Ethics 24 0.8% 0.0078585462
3030 Other 75 2.5% 0.0245579568
9696 Incomplete answers / Do not know 16 0.5% 0.0052390308
9797 Unanswered 17 0.6% 0.0055664702
Sysmiss 10455 NA


r30_pcscc


Variable label: Based on what you know, which of the following assertions best describes your view on climate change?
Literal question: Based on what you know, which of the following assertions best describes your view on climate change?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 6 )]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 I don’t believe that the climate is changing. 43 1.2% 0.011987733
2 I don't know whether the climate is changing or not. 155 4.3% 0.043211597
3 I believe that the climate is changing, but that it is only to a small extent due to human action 623 17.4% 0.173682743
4 I believe that the climate is changing, and that it is to a large extent due to human action. 2748 76.6% 0.766099805
97 Not answered 18 0.5% 0.005018121
98 Not asked 9922 NA


r30_pcwcc


Variable label: How worried are you about climate change?
Literal question: How worried are you about climate change?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 6 )]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all worried 207 5.8% 0.057708391
2 Not very worried 563 15.7% 0.156955673
3 Somewhat worried 1011 28.2% 0.281851129
4 Worried 1184 33.0% 0.330080848
5 Very worried 605 16.9% 0.168664622
97 Not answered 17 0.5% 0.004739336
98 Not asked 9922 NA


r30_pcpri


Variable label: Agree/disagree: The authorities should introduce more measures to protect citizens from potential terrorist threats, even though this may be at the expense of privacy.
Literal question:

To what extent do you agree or disagree with the following proposition:

The authorities should introduce more measures to protect citizens from potential terrorist threats, even though this may be at the expense of privacy.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 6 )]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 379 10.6% 0.105659325
2 Agree 748 20.9% 0.208530806
3 Agree somewhat 969 27.0% 0.270142180
4 Neither agree nor disagree 676 18.8% 0.188458322
5 Disagree somewhat 401 11.2% 0.111792584
6 Disagree 265 7.4% 0.073877892
7 Strongly disagree 135 3.8% 0.037635907
97 Not answered 14 0.4% 0.003902983
98 Not asked 9922 NA


r30_pcrur


Variable label: Agree/disagree: Government authorities show little consideration for non-urban/rural Norway.
Literal question: To what extent do you agree or disagree with the following assertion?: Government authorities show little consideration for non-urban/rural Norway.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 6 )]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 574 16.0% 0.16002230
2 Agree 755 21.0% 0.21048230
3 Agree somewhat 748 20.9% 0.20853081
4 Neither agree nor disagree 1022 28.5% 0.28491776
5 Disagree somewhat 191 5.3% 0.05324784
6 Disagree 197 5.5% 0.05492055
7 Strongly disagree 59 1.6% 0.01644829
97 Not answered 41 1.1% 0.01143016
98 Not asked 9922 NA


r30_pcsex


Variable label: Agree/disagree: It is women’s own responsibility to avoid unwanted sexual attention?
Literal question:

To what extent do you agree with the following assertion:

It is women’s own responsibility to avoid unwanted sexual attention.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 6 )]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 70 2.0% 0.019514915
2 Agree 123 3.4% 0.034290493
3 Agree somewhat 355 9.9% 0.098968497
4 Neither agree nor disagree 261 7.3% 0.072762754
5 Disagree somewhat 357 10.0% 0.099526066
6 Disagree 902 25.1% 0.251463619
7 Strongly disagree 1492 41.6% 0.415946473
97 Not answered 27 0.8% 0.007527181
98 Not asked 9922 NA


r30_pcinc


Variable label: Agree/disagree: The Government should work to reduce income inequality in society
Literal question:

To what extent do you agree or disagree with the following suggestion:

The Government should work to reduce income inequality in society to greater extent.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 6 )]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 821 22.9% 0.228882074
2 Agree 919 25.6% 0.256202955
3 Agree somewhat 823 22.9% 0.229439643
4 Neither agree nor disagree 372 10.4% 0.103707834
5 Disagree somewhat 303 8.4% 0.084471703
6 Disagree 226 6.3% 0.063005297
7 Strongly disagree 99 2.8% 0.027599665
97 Not answered 24 0.7% 0.006690828
98 Not asked 9922 NA


r30_pcimm


Variable label: Advantage/disadvantage for Norway that immigrants come to live here
Literal question: In your opinion how great an advantage or disadvantage is it for Norway that immigrants come to live here?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 6 )]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 A very great advantage 159 4.4% 0.044326735
2 A great advantage 580 16.2% 0.161695010
3 A slight advantage 1077 30.0% 0.300250906
4 Neither an advantage nor a disadvantage 671 18.7% 0.187064399
5 A slight disadvantage 735 20.5% 0.204906607
6 A great disadvantage 211 5.9% 0.058823529
7 A very great disadvantage 129 3.6% 0.035963200
97 Not answered 25 0.7% 0.006969612
98 Not asked 9922 NA


r30_pcgro


Variable label: Agree/disagree: Economic growth should be secured through development of industry, despite conflict with environmental interests.
Literal question:

To what extent do you agree or disagree with the following assertion:

Economic growth should be safeguarded through the development of industry, even if it comes into conflict with environmental interests.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 6 )]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 192 5.4% 0.053526624
2 Agree 392 10.9% 0.109283524
3 Agree somewhat 723 20.2% 0.201561193
4 Neither agree nor disagree 528 14.7% 0.147198216
5 Disagree somewhat 831 23.2% 0.231669919
6 Disagree 602 16.8% 0.167828269
7 Strongly disagree 286 8.0% 0.079732367
97 Not answered 33 0.9% 0.009199888
98 Not asked 9922 NA


r30_mesta_ran_1


Variable label: Experiment. Randomly selects four elements for [r30_mesta]: The cost of meat products should be greatly increased to combat climate change.
Literal question: The cost of meat products should be greatly increased to combat climate change.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 3,4 | r30_rangroup_gr6 = 4,7)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:3068] [Invalid:10441] [Range:1-1]

Value Label Cases Percentage
1 Selected 3068 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 10441 NA


r30_mesta_ran_2


Variable label: Experiment. Randomly selects four elements for [r30_mesta]: The right to self-determined abortion in Norway should be extended from week 12 to week 18.
Literal question: The right to self-determined abortion in Norway should be extended from week 12 to week 18.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 3,4 | r30_rangroup_gr6 = 4,7)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:3043] [Invalid:10466] [Range:1-1]

Value Label Cases Percentage
1 Selected 3043 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 10466 NA


r30_mesta_ran_3


Variable label: Experiment. Randomly selects four elements for [r30_mesta]: Norwegian schools should require that staff and students use individuals’ preferred gender pronouns (such as ‘they’, ‘she’, or ‘he’).
Literal question: Norwegian schools should require that staff and students use individuals’ preferred gender pronouns (such as ‘they’, ‘she’, or ‘he’).
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 3,4 | r30_rangroup_gr6 = 4,7)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:3035] [Invalid:10474] [Range:1-1]

Value Label Cases Percentage
1 Selected 3035 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 10474 NA


r30_mesta_ran_4


Variable label: Experiment. Randomly selects four elements for [r30_mesta]: Norway should build nuclear power plants.
Literal question: Norway should build nuclear power plants.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 3,4 | r30_rangroup_gr6 = 4,7)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:3029] [Invalid:10480] [Range:1-1]

Value Label Cases Percentage
1 Selected 3029 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 10480 NA


r30_mesta_ran_5


Variable label: Experiment. Randomly selects four elements for [r30_mesta]: Norwegian Nynorsk should be an elective subject in Norwegian schools so that pupils can choose which language they want to learn.
Literal question: Norwegian Nynorsk should be an elective subject in Norwegian schools so that pupils can choose which language they want to learn.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 3,4 | r30_rangroup_gr6 = 4,7)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:3035] [Invalid:10474] [Range:1-1]

Value Label Cases Percentage
1 Selected 3035 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 10474 NA


r30_mesta_ran_6


Variable label: Experiment. Randomly selects four elements for [r30_mesta]: Norway should participate in international boycotts against Israel to influence the country’s policy towards the Palestinians.
Literal question: Norway should participate in international boycotts against Israel to influence the country’s policy towards the Palestinians.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 3,4 | r30_rangroup_gr6 = 4,7)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:3002] [Invalid:10507] [Range:1-1]

Value Label Cases Percentage
1 Selected 3002 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 10507 NA


r30_mesta_1


Variable label: Agree/disagree: The cost of meat products should be greatly increased to combat climate change.
Pre-question text: To what extent do you agree or disagree with the following statements?
Literal question: The cost of meat products should be greatly increased to combat climate change.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if ((r30_group = 3,4 | r30_rangroup_gr6 = 4, 7) & [r30_mesta_ran_1] == 1)] [Question items based on response in [r30_mesta_ran_1] - [r30_mesta_ran_6] [Display order of questions in grid: Randomized]]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 94 3.1% 0.030638853
2 Agree 179 5.8% 0.058344198
3 Agree somewhat 510 16.6% 0.166232073
4 Neither agree nor disagree 398 13.0% 0.129726206
5 Disagree somewhat 516 16.8% 0.168187744
6 Disagree 737 24.0% 0.240221643
7 Strongly disagree 627 20.4% 0.204367666
97 Not answered 7 0.2% 0.002281617
98 Not asked 10441 NA


r30_mesta_2


Variable label: Agree/disagree: The right to self-determined abortion in Norway should be extended from week 12 to week 18.
Pre-question text: To what extent do you agree or disagree with the following statements?
Literal question: The right to self-determined abortion in Norway should be extended from week 12 to week 18.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if ((r30_group = 3,4 | r30_rangroup_gr6 = 4, 7) & [r30_mesta_ran_2] == 1)] [Question items based on response in [r30_mesta_ran_1] - [r30_mesta_ran_6] [Display order of questions in grid: Randomized]]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 492 16.2% 0.161682550
2 Agree 619 20.3% 0.203417680
3 Agree somewhat 380 12.5% 0.124876766
4 Neither agree nor disagree 521 17.1% 0.171212619
5 Disagree somewhat 279 9.2% 0.091685836
6 Disagree 381 12.5% 0.125205389
7 Strongly disagree 362 11.9% 0.118961551
97 Not answered 9 0.3% 0.002957608
98 Not asked 10466 NA


r30_mesta_3


Variable label: Agree/disagree: Norwegian schools should require that staff and students use individuals’ preferred gender pronouns (such as ‘they’, ‘she’, or ‘he’).
Pre-question text: To what extent do you agree or disagree with the following statements?
Literal question: Norwegian schools should require that staff and students use individuals’ preferred gender pronouns (such as ‘they’, ‘she’, or ‘he’).
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if ((r30_group = 3,4 | r30_rangroup_gr6 = 4, 7) & [r30_mesta_ran_3] == 1)] [Question items based on response in [r30_mesta_ran_1] - [r30_mesta_ran_6] [Display order of questions in grid: Randomized]]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 209 6.9% 0.068863262
2 Agree 467 15.4% 0.153871499
3 Agree somewhat 354 11.7% 0.116639209
4 Neither agree nor disagree 668 22.0% 0.220098847
5 Disagree somewhat 331 10.9% 0.109060956
6 Disagree 470 15.5% 0.154859967
7 Strongly disagree 530 17.5% 0.174629325
97 Not answered 6 0.2% 0.001976936
98 Not asked 10474 NA


r30_mesta_4


Variable label: Agree/disagree: Norway should build nuclear power plants.
Pre-question text: To what extent do you agree or disagree with the following statements?
Literal question: Norway should build nuclear power plants.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if ((r30_group = 3,4 | r30_rangroup_gr6 = 4, 7) & [r30_mesta_ran_4] == 1)] [Question items based on response in [r30_mesta_ran_1] - [r30_mesta_ran_6] [Display order of questions in grid: Randomized]]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 600 19.8% 0.198085177
2 Agree 631 20.8% 0.208319577
3 Agree somewhat 559 18.5% 0.184549356
4 Neither agree nor disagree 479 15.8% 0.158137999
5 Disagree somewhat 230 7.6% 0.075932651
6 Disagree 302 10.0% 0.099702872
7 Strongly disagree 219 7.2% 0.072301089
97 Not answered 9 0.3% 0.002971278
98 Not asked 10480 NA


r30_mesta_5


Variable label: Agree/disagree: Norwegian Nynorsk should be an elective subject in Norwegian schools so that pupils can choose which language they want to learn.
Pre-question text: To what extent do you agree or disagree with the following statements?
Literal question: Nynorsk should be an elective subject in Norwegian schools so that pupils can choose which language they want to learn.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if ((r30_group = 3,4 | r30_rangroup_gr6 = 4, 7) & [r30_mesta_ran_5] == 1)] [Question items based on response in [r30_mesta_ran_1] - [r30_mesta_ran_6] [Display order of questions in grid: Randomized]]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 860 28.3% 0.283360791
2 Agree 738 24.3% 0.243163097
3 Agree somewhat 317 10.4% 0.104448105
4 Neither agree nor disagree 257 8.5% 0.084678748
5 Disagree somewhat 290 9.6% 0.095551895
6 Disagree 359 11.8% 0.118286656
7 Strongly disagree 210 6.9% 0.069192751
97 Not answered 4 0.1% 0.001317957
98 Not asked 10474 NA


r30_mesta_6


Variable label: Agree/disagree: Norway should participate in international boycotts against Israel to influence the country’s policy towards the Palestinians.
Pre-question text: To what extent do you agree or disagree with the following statements?
Literal question: Norway should participate in international boycotts against Israel to influence the country’s policy towards the Palestinians.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if ((r30_group = 3,4 | r30_rangroup_gr6 = 4, 7) & [r30_mesta_ran_6] == 1)] [Question items based on response in [r30_mesta_ran_1] - [r30_mesta_ran_6] [Display order of questions in grid: Randomized]]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 790 26.3% 0.263157895
2 Agree 694 23.1% 0.231179214
3 Agree somewhat 503 16.8% 0.167554963
4 Neither agree nor disagree 392 13.1% 0.130579614
5 Disagree somewhat 137 4.6% 0.045636243
6 Disagree 198 6.6% 0.065956029
7 Strongly disagree 279 9.3% 0.092938041
97 Not answered 9 0.3% 0.002998001
98 Not asked 10507 NA


r30_mestad1


Variable label: Slightly more inclined to agree/slightly more inclined to disagree: The cost of meat products should be greatly increased to combat climate change.
Pre-question text: You [answered that you neither agree nor disagree/didn’t answer] the statement: “The cost of meat products should be greatly increased to combat climate change.”
Literal question: If you had to make a choice, would you be slightly more inclined to agree or disagree?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_mesta_1 = 4 | (r30_mesta_ran_1 = 1 & !r30_mesta_1 is answered)) & (r30_group = 3,4 | r30_rangroup_gr6 = 4,7)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Slightly more inclined to agree 208 51.9% 0.518703242
2 Slightly more inclined to disagree 191 47.6% 0.476309227
97 Not answered 2 0.5% 0.004987531
98 Not asked 13108 NA


r30_mestad2


Variable label: Slightly more inclined to agree/slightly more inclined to disagree: The right to self-determined abortion in Norway should be extended from week 12 to week 18.
Pre-question text: You [answered that you neither agree nor disagree/didn’t answer] the statement: “The right to self-determined abortion in Norway should be extended from week 12 to week 18.”
Literal question: If you had to make a choice, would you be slightly more inclined to agree or disagree?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_mesta_2 = 4 | (r30_mesta_ran_2 = 1 & !r30_mesta_2 is answered)) & (r30_group = 3,4 | r30_rangroup_gr6 = 4,7)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Slightly more inclined to agree 343 65.3% 0.65333333
2 Slightly more inclined to disagree 164 31.2% 0.31238095
97 Not answered 18 3.4% 0.03428571
98 Not asked 12984 NA


r30_mestad3


Variable label: Slightly more inclined to agree/slightly more inclined to disagree: Norwegian schools should require that staff and students use individuals’ preferred gender pronouns (such as ‘they’, ‘she’, or ‘he’).
Pre-question text: You [answered that you neither agree nor disagree/didn’t answer] the statement Norwegian schools should require that staff and students use individuals’ preferred gender pronouns (such as ‘they’, ‘she’, or ‘he’).
Literal question: If you had to make a choice, would you be slightly more inclined to agree or disagree?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_mesta_3 = 4 | (r30_mesta_ran_3 = 1 & !r30_mesta_3 is answered)) & (r30_group = 3,4 | r30_rangroup_gr6 = 4,7)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Slightly more inclined to agree 416 62.0% 0.61997019
2 Slightly more inclined to disagree 240 35.8% 0.35767511
97 Not answered 15 2.2% 0.02235469
98 Not asked 12838 NA


r30_mestad4


Variable label: Slightly more inclined to agree/slightly more inclined to disagree: Norway should build nuclear power plants.
Pre-question text: You [answered that you neither agree nor disagree/didn’t answer] the statement Norway should build nuclear power plants.
Literal question: If you had to make a choice, would you be slightly more inclined to agree or disagree?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_mesta_4 = 4 | (r30_mesta_ran_4 = 1 & !r30_mesta_4 is answered)) & (r30_group = 3,4 | r30_rangroup_gr6 = 4,7)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Slightly more inclined to agree 268 55.6% 0.55601660
2 Slightly more inclined to disagree 199 41.3% 0.41286307
97 Not answered 15 3.1% 0.03112033
98 Not asked 13027 NA


r30_mestad5


Variable label: Slightly more inclined to agree/slightly more inclined to disagree: Norwegian Nynorsk should be an elective subject in Norwegian schools so that pupils can choose which language they want to learn.
Pre-question text: You [answered that you neither agree nor disagree/didn’t answer] the statement Nynorsk should be an elective subject in Norwegian schools so that pupils can choose which language they want to learn.
Literal question: If you had to make a choice, would you be slightly more inclined to agree or disagree?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_mesta_5 = 4 | (r30_mesta_ran_5 = 1 & !r30_mesta_5 is answered)) & (r30_group = 3,4 | r30_rangroup_gr6 = 4,7)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Slightly more inclined to agree 130 50.4% 0.50387597
2 Slightly more inclined to disagree 121 46.9% 0.46899225
97 Not answered 7 2.7% 0.02713178
98 Not asked 13251 NA


r30_mestad6


Variable label: Slightly more inclined to agree/slightly more inclined to disagree: Norway should participate in international boycotts against Israel to influence the country’s policy towards the Palestinians.
Pre-question text: You [answered that you neither agree nor disagree/didn’t answer] the statement Norway should participate in international boycotts against Israel to influence the country’s policy towards the Palestinians.
Literal question: If you had to make a choice, would you be slightly more inclined to agree or disagree?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_mesta_6 = 4 | (r30_mesta_ran_6 = 1 & !r30_mesta_6 is answered)) & (r30_group = 3,4 | r30_rangroup_gr6 = 4,7)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Slightly more inclined to agree 239 60.2% 0.60201511
2 Slightly more inclined to disagree 141 35.5% 0.35516373
97 Not answered 17 4.3% 0.04282116
98 Not asked 13112 NA


r30_mento_1


Variable label: Most/least interested in reading more about: Reducing meat consumption
Pre-question text: Below are a number of topics that Norwegian newspapers write about. Please rank the topics according to which one you would like to know more about. The topic you most want to read more about should be clicked first, while the topic you least want to read more about should be clicked last. When you have finished, please click on Next. 
Literal question: Reducing meat consumption
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 3,4 | r30_rangroup_gr6 = 4,7)]

[Answer list display order: Randomize]

[The respondent was asked to rank the subjects in[r30_mento_1] - [r30_mento_6]. The respondent could reset their ranking while answering.]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Ranked "Reduction in meat consumption" as number 1 326 7.2% 0.07158542
2 Ranked "Reduction in meat consumption" as number 2 618 13.6% 0.13570487
3 Ranked "Reduction in meat consumption" as number 3 784 17.2% 0.17215635
4 Ranked "Reduction in meat consumption" as number 4 795 17.5% 0.17457181
5 Ranked "Reduction in meat consumption" as number 5 861 18.9% 0.18906456
6 Ranked "Reduction in meat consumption" as number 6 564 12.4% 0.12384717
97 Not answered 606 13.3% 0.13306983
98 Not asked 8955 NA


r30_mento_2


Variable label: Most/least interested in reading more about: Abortion legislation
Pre-question text: Below are a number of topics that Norwegian newspapers write about. Please rank the topics according to which one you would like to know more about. The topic you most want to read more about should be clicked first, while the topic you least want to read more about should be clicked last. When you have finished, please click on Next. 
Literal question: Abortion legislation
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 3,4 | r30_rangroup_gr6 = 4,7)]

[Answer list display order: Randomize]

[The respondent was asked to rank the subjects in[r30_mento_1] - [r30_mento_6]. The respondent could reset their ranking while answering.]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Ranked "Abortion legislation" as number 1 408 9.0% 0.08959157
2 Ranked "Abortion legislation" as number 2 636 14.0% 0.13965744
3 Ranked "Abortion legislation" as number 3 1034 22.7% 0.22705314
4 Ranked "Abortion legislation" as number 4 978 21.5% 0.21475626
5 Ranked "Abortion legislation" as number 5 619 13.6% 0.13592446
6 Ranked "Abortion legislation" as number 6 235 5.2% 0.05160299
97 Not answered 644 14.1% 0.14141414
98 Not asked 8955 NA


r30_mento_3


Variable label: Most/least interested in reading more about: Gender identity
Pre-question text: Below are a number of topics that Norwegian newspapers write about. Please rank the topics according to which one you would like to know more about. The topic you most want to read more about should be clicked first, while the topic you least want to read more about should be clicked last. When you have finished, please click on Next. 
Literal question: Gender identity
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 3,4 | r30_rangroup_gr6 = 4,7)]

[Answer list display order: Randomize]

[The respondent was asked to rank the subjects in[r30_mento_1] - [r30_mento_6]. The respondent could reset their ranking while answering.]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Ranked "Gender identity" as number 1 132 2.9% 0.02898551
2 Ranked "Gender identity" as number 2 339 7.4% 0.07444005
3 Ranked "Gender identity" as number 3 438 9.6% 0.09617918
4 Ranked "Gender identity" as number 4 574 12.6% 0.12604304
5 Ranked "Gender identity" as number 5 981 21.5% 0.21541502
6 Ranked "Gender identity" as number 6 1442 31.7% 0.31664471
97 Not answered 648 14.2% 0.14229249
98 Not asked 8955 NA


r30_mento_4


Variable label: Most/least interested in reading more about: Nuclear power development
Pre-question text: Below are a number of topics that Norwegian newspapers write about. Please rank the topics according to which one you would like to know more about. The topic you most want to read more about should be clicked first, while the topic you least want to read more about should be clicked last. When you have finished, please click on Next. 
Literal question: Nuclear power development
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 3,4 | r30_rangroup_gr6 = 4,7)]

[Answer list display order: Randomize]

[The respondent was asked to rank the subjects in[r30_mento_1] - [r30_mento_6]. The respondent could reset their ranking while answering.]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Ranked "Nuclear power development" as number 1 1815 39.9% 0.39855072
2 Ranked "Nuclear power development" as number 2 1095 24.0% 0.24044796
3 Ranked "Nuclear power development" as number 3 508 11.2% 0.11155029
4 Ranked "Nuclear power development" as number 4 370 8.1% 0.08124726
5 Ranked "Nuclear power development" as number 5 251 5.5% 0.05511638
6 Ranked "Nuclear power development" as number 6 148 3.2% 0.03249890
97 Not answered 367 8.1% 0.08058849
98 Not asked 8955 NA


r30_mento_5


Variable label: Most/least interested in reading more about: Use of nynorsk in schools
Pre-question text: Below are a number of topics that Norwegian newspapers write about. Please rank the topics according to which one you would like to know more about. The topic you most want to read more about should be clicked first, while the topic you least want to read more about should be clicked last. When you have finished, please click on Next. 
Literal question: Use of Nynorsk in Norwegian schools
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 3,4 | r30_rangroup_gr6 = 4,7)]

[Answer list display order: Randomize]

[The respondent was asked to rank the subjects in[r30_mento_1] - [r30_mento_6]. The respondent could reset their ranking while answering.]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Ranked "The use of Norwegian Nynorsk in school" as number 1 205 4.5% 0.04501537
2 Ranked "The use of Norwegian Nynorsk in school" as number 2 388 8.5% 0.08519982
3 Ranked "The use of Norwegian Nynorsk in school" as number 3 546 12.0% 0.11989460
4 Ranked "The use of Norwegian Nynorsk in school" as number 4 716 15.7% 0.15722442
5 Ranked "The use of Norwegian Nynorsk in school" as number 5 857 18.8% 0.18818621
6 Ranked "The use of Norwegian Nynorsk in school" as number 6 1215 26.7% 0.26679842
97 Not answered 627 13.8% 0.13768116
98 Not asked 8955 NA


r30_mento_6


Variable label: Most/least interested in reading more about: The Middle East conflict
Pre-question text: Below are a number of topics that Norwegian newspapers write about. Please rank the topics according to which one you would like to know more about. The topic you most want to read more about should be clicked first, while the topic you least want to read more about should be clicked last. When you have finished, please click on Next. 
Literal question: The Middle East conflict
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 3,4 | r30_rangroup_gr6 = 4,7)]

[Answer list display order: Randomize]

[The respondent was asked to rank the subjects in[r30_mento_1] - [r30_mento_6]. The respondent could reset their ranking while answering.]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Ranked "The middle-east conflict" as number 1 1547 34.0% 0.33970136
2 Ranked "The middle-east conflict" as number 2 1142 25.1% 0.25076856
3 Ranked "The middle-east conflict" as number 3 622 13.7% 0.13658322
4 Ranked "The middle-east conflict" as number 4 379 8.3% 0.08322354
5 Ranked "The middle-east conflict" as number 5 231 5.1% 0.05072464
6 Ranked "The middle-east conflict" as number 6 179 3.9% 0.03930610
97 Not answered 454 10.0% 0.09969258
98 Not asked 8955 NA


r30_menwex_kjottpris_enig


Variable label: Experiment. The respondents attitude towards the assertion on increased meatprices based on answers given in [r30_mesta] and if applicable [r30_mesta1].
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type:Single] [Format:numeric] [Valid:3061] [Invalid:10448] [Range:0-1]

Value Label Cases Percentage
1 Agree 991 32.4% 0.3237504
0 Disagree 2070 67.6% 0.6762496
Sysmiss 10448 NA


r30_menwex_abort_enig


Variable label: Experiment. The respondents attitude towards the assertion on extended abortion threshold based on answers given in [r30_mesta] and if applicable [r30_mesta1].
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type:Single] [Format:numeric] [Valid:3019] [Invalid:10490] [Range:0-1]

Value Label Cases Percentage
1 Agree 1833 60.7% 0.6071547
0 Disagree 1186 39.3% 0.3928453
Sysmiss 10490 NA


r30_menwex_pronom_enig


Variable label: Experiment. The respondents attitude towards the assertion on requirement for a self-selected gender pronoun based on answers given in [r30_mesta] and if applicable [r30_mesta1].
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type:Single] [Format:numeric] [Valid:3017] [Invalid:10492] [Range:0-1]

Value Label Cases Percentage
1 Agree 1446 47.9% 0.4792841
0 Disagree 1571 52.1% 0.5207159
Sysmiss 10492 NA


r30_menwex_kjernekraft_enig


Variable label: Experiment. The respondents attitude towards the assertion on requirement for construction of nuclear power plants based on answers given in [r30_mesta] and if applicable [r30_mesta1].
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type:Single] [Format:numeric] [Valid:3007] [Invalid:10502] [Range:0-1]

Value Label Cases Percentage
1 Agree 2058 68.4% 0.6844031
0 Disagree 949 31.6% 0.3155969
Sysmiss 10502 NA


r30_menwex_nynorsk_enig


Variable label: Experiment. The respondents attitude towards the assertion on requirement to make Norwegian Nynorsk an elective based on answers given in [r30_mesta] and if applicable [r30_mesta1].
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type:Single] [Format:numeric] [Valid:3025] [Invalid:10484] [Range:0-1]

Value Label Cases Percentage
1 Agree 2045 67.6% 0.6760331
0 Disagree 980 32.4% 0.3239669
Sysmiss 10484 NA


r30_menwex_boikott_enig


Variable label: Experiment. The respondents attitude towards the assertion on requirement that Norway should boycott based on answers given in [r30_mesta] and if applicable [r30_mesta1].
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2980] [Invalid:10529] [Range:0-1]

Value Label Cases Percentage
1 Agree 2226 74.7% 0.7469799
0 Disagree 754 25.3% 0.2530201
Sysmiss 10529 NA


r30_menwex_ranking


Variable label: Experiment. Selects the subject which the respondent rated the highest in [r30_mento].
Field period: 03.06.2024 - 04.07.2024
Technical description: [If [r30_menwex_group] = 2 or 3 the following text is displayed above the chosen article: “This article is recommended for you as you have recently indicated that you are interested in reading more on the subject.”]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:4337] [Invalid:9172] [Range:1-6]

Value Label Cases Percentage
1 Reducing meat consumption 423 9.8% 0.09753286
2 Abortion legislation 474 10.9% 0.10929214
3 Gender identity 223 5.1% 0.05141803
4 Nuclear power development 1529 35.3% 0.35254784
5 Use of Nynorsk in Norwegian schools 304 7.0% 0.07009454
6 The Middle East conflict 1384 31.9% 0.31911460
Sysmiss 9172 NA


r30_menwex_filter


Variable label: Determines whether the respondent was exposed for [r30_menwex]
Field period: 03.06.2024 - 04.07.2024
Technical description: [The respondent is exposed to [r30_menwex] if they have given answer on at least four assertions in [r30_mesta] or in [r30_mestad1] - [r30_mestad6], and have ranked at least on of the themes in [r30_mento].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:4548] [Invalid:8961] [Range:0-1]

Value Label Cases Percentage
1 Gets r30_menwex: State your point of view on four issues and ran at least one of these according to interest. 4278 94.1% 0.94063325
0 Do not get r30_menwex: Has not provided the required information 270 5.9% 0.05936675
Sysmiss 8961 NA


r30_menwex_group


Variable label: Experiment. Randomly selects group for the respondent for [r30_menwex].
Pre-question text: For the next two minutes you can use and read news on a news site which resembles a regular Norweigan news page. All of the articles are created by us, but is inspired by real news. Please click and read the articles you want to read in the way you normally would when reading news online. Click on the headlines to read the articles and “To the front page” to go back to the front page. The survey will automatically continue to the next question when two minutes have passed.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_menwex_filter = 1 & (r30_group = 3,4 | r30_rangroup_gr6 = 4,7))]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:4186] [Invalid:9323] [Range:1-3]

Value Label Cases Percentage
1 Group 1 - random_baseline 1447 34.6% 0.3456761
2 Group 2 - increase_agreement 1346 32.2% 0.3215480
3 Group 3 - reduce_agreement 1393 33.3% 0.3327759
Sysmiss 9323 NA


r30_menwex_version


Variable label: Experiment. Randomly selects version of the articles for [r30_menwex].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_menwex_filter = 1 & (r30_group = 3,4 | r30_rangroup_gr6 = 4,7))]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:4186] [Invalid:9323] [Range:1-2]

Value Label Cases Percentage
1 Version 1 2081 49.7% 0.4971333
2 Version 2 2105 50.3% 0.5028667
Sysmiss 9323 NA


r30_menwex_toprankpos


Variable label: Experiment. Randomly sets position for the newsarticle, based on the respondents highest rated subject in [r30_mento], will have in [r30_menwex].
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type:Single] [Format:numeric] [Valid:4186] [Invalid:9323] [Range:0-1]

Value Label Cases Percentage
0 First case 2103 50.2% 0.5023889
1 Second case 2083 49.8% 0.4976111
Sysmiss 9323 NA


r30_menwex_session


Variable label: Experiment. Number of sessions in [r30_menwex]
Question owner: Erik Knudsen (UiB)
Field period: 03.06.2024 - 04.07.2024
Technical description: Contact Erik Knudsen () for further information.
Technical attributes: [Question type:Numeric] [Format:numeric] [Valid:4186] [Invalid:9323] [Range:1-8]

Value Label Cases Percentage
1 3742 89.4% 0.8939321548
2 369 8.8% 0.0881509795
3 57 1.4% 0.0136168180
4 15 0.4% 0.0035833731
5 1 0.0% 0.0002388915
6 1 0.0% 0.0002388915
8 1 0.0% 0.0002388915
Sysmiss 9323 NA


r30_menwextimefp1


Variable label: Experiment. Time spent on front page in first session in [r30_menwex].
Question owner: Erik Knudsen (UiB)
Field period: 03.06.2024 - 04.07.2024
Technical description:

Contact Erik Knudsen () for further information.

During the start of the field period, an error occured which caused time spent in the experiment not to be registered for approximately 70 respondents.
Technical attributes: [Question type: -] [Format:character] [Valid:3934] [Invalid:9575] [Range:-]



r30_menwextimefp2


Variable label: Experiment. Time spent on front page in second session in [r30_menwex].
Question owner: Erik Knudsen (UiB)
Field period: 03.06.2024 - 04.07.2024
Technical description:

Contact Erik Knudsen () for further information.

During the start of the field period, an error occured which caused time spent in the experiment not to be registered for approximately 70 respondents.
Technical attributes: [Question type: -] [Format:character] [Valid:413] [Invalid:13096] [Range:-]



r30_menwextimefp3


Variable label: Experiment. Time spent on front page in the last session in [r30_menwex], if more than two sessions.
Question owner: Erik Knudsen (UiB)
Field period: 03.06.2024 - 04.07.2024
Technical description:

Contact Erik Knudsen () for further information.

During the start of the field period, an error occured which caused time spent in the experiment not to be registered for approximately 70 respondents.
Technical attributes: [Question type: -] [Format:character] [Valid:69] [Invalid:13440] [Range:-]



r30_menwextime1


Variable label: Experiment. Time spent on individual articles in first session in [r30_menwex]
Question owner: Erik Knudsen (UiB)
Field period: 03.06.2024 - 04.07.2024
Technical description:

article1, article2, article..n, article10.

Contact Erik Knudsen () for further information.

During the start of the field period, an error occured which caused time spent in the experiment not to be registered.
Technical attributes: [Question type: -] [Format:character] [Valid:3934] [Invalid:9575] [Range:-]



r30_menwextime2


Variable label: Experiment. Time spent on invidiual articles in second session in [r30_menwex]
Question owner: Erik Knudsen (UiB)
Field period: 03.06.2024 - 04.07.2024
Technical description:

article1, article2, article..n, article10.

Contact Erik Knudsen () for further information.

During the start of the field period, an error occured which caused time spent in the experiment not to be registered.
Technical attributes: [Question type: -] [Format:character] [Valid:413] [Invalid:13096] [Range:-]



r30_menwextime3


Variable label: Experiment. Time spent on individual articles in the last session in [r30_menwex], if more than two sessions
Question owner: Erik Knudsen (UiB)
Field period: 03.06.2024 - 04.07.2024
Technical description:

article1, article2, article..n, article10.

Contact Erik Knudsen () for further information.

During the start of the field period, an error occured which caused time spent in the experiment not to be registered.
Technical attributes: [Question type: -] [Format:character] [Valid:69] [Invalid:13440] [Range:-]



r30_menwexclickorder1


Variable label: Experiment. Click-order from the first session in [r30_menwex]
Question owner: Erik Knudsen (UiB)
Field period: 03.06.2024 - 04.07.2024
Technical description: Contact Erik Knudsen () for further information.
Technical attributes: [Question type: -] [Format:character] [Valid:3178] [Invalid:10331] [Range:-]



r30_menwexclickorder2


Variable label: Experiment. Click-order from the second session in [r30_menwex]
Question owner: Erik Knudsen (UiB)
Field period: 03.06.2024 - 04.07.2024
Technical description: Contact Erik Knudsen () for further information.
Technical attributes: [Question type: -] [Format:character] [Valid:311] [Invalid:13198] [Range:-]



r30_menwexclickorder3


Variable label: Experiment. Click-order from the last session in [r30_menwex], if more than two sessions
Question owner: Erik Knudsen (UiB)
Field period: 03.06.2024 - 04.07.2024
Technical description: Contact Erik Knudsen () for further information.
Technical attributes: [Question type: -] [Format:character] [Valid:54] [Invalid:13455] [Range:-]



r30_ceremx_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r30_ceremx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2,3 | r30_rangroup_gr6 = 1,5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:4588] [Invalid:8921] [Range:1-2]

Value Label Cases Percentage
1 There is a discussion about which measures should be introduced in Norway to reduce environmental impact and greenhouse gas emissions. 2374 51.7% 0.5174368
2 There is a discussion about which measures should be introduced in Norway to reduce environmental impact and greenhouse gas emissions. Some measures may focus on reducing private consumption, thereby limiting your ability to choose freely and influence how you live your life. 2214 48.3% 0.4825632
Sysmiss 8921 NA


r30_ceremx_1


Variable label: Agree/disagree: Norwegian authorities should introduce measures that: limit the consumption of red meat.
Pre-question text: [r30_ceremx_ran] To what extent do you agree or disagree that the Norwegian authorities should introduce measures that 
Literal question: …limit the consumption of red meat.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2,3 | r30_rangroup_gr6 = 1,5)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 297 6.5% 0.06471998
2 Agree 564 12.3% 0.12290259
3 Agree somewhat 1059 23.1% 0.23076923
4 Disagree somewhat 639 13.9% 0.13924602
5 Disagree 935 20.4% 0.20374809
6 Strongly disagree 969 21.1% 0.21115711
7 No opinion 105 2.3% 0.02288080
97 Not answered 21 0.5% 0.00457616
98 Not asked 8920 NA


r30_ceremx_2


Variable label: Agree/disagree: Norwegian authorities should introduce measures that: limit the number of private flights.
Pre-question text: [r30_ceremx_ran] To what extent do you agree or disagree that the Norwegian authorities should introduce measures that 
Literal question: …limit the number of private flights.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2,3 | r30_rangroup_gr6 = 1,5)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 634 13.8% 0.138156461
2 Agree 809 17.6% 0.176291131
3 Agree somewhat 1154 25.1% 0.251470909
4 Disagree somewhat 497 10.8% 0.108302462
5 Disagree 742 16.2% 0.161691000
6 Strongly disagree 631 13.8% 0.137502724
7 No opinion 95 2.1% 0.020701678
97 Not answered 27 0.6% 0.005883635
98 Not asked 8920 NA


r30_ceremx_3


Variable label: Agree/disagree: Norwegian authorities should introduce measures that: place further restrictions on car traffic.
Pre-question text: [r30_ceremx_ran] To what extent do you agree or disagree that the Norwegian authorities should introduce measures that 
Literal question: …place further restrictions on car traffic.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2,3 | r30_rangroup_gr6 = 1,5)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 347 7.6% 0.075615603
2 Agree 720 15.7% 0.156896927
3 Agree somewhat 1233 26.9% 0.268685988
4 Disagree somewhat 616 13.4% 0.134234038
5 Disagree 850 18.5% 0.185225539
6 Strongly disagree 755 16.5% 0.164523861
7 No opinion 48 1.0% 0.010459795
97 Not answered 20 0.4% 0.004358248
98 Not asked 8920 NA


r30_ceremx_4


Variable label: Agree/disagree: Norwegian authorities should introduce measures that: place further restrictions on the development of cabin areas.
Pre-question text: [r30_ceremx_ran] To what extent do you agree or disagree that the Norwegian authorities should introduce measures that 
Literal question: … place further restrictions on the development of cabin areas.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2,3 | r30_rangroup_gr6 = 1,5)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 1123 24.5% 0.244715624
2 Agree 1163 25.3% 0.253432120
3 Agree somewhat 1154 25.1% 0.251470909
4 Disagree somewhat 389 8.5% 0.084767923
5 Disagree 383 8.3% 0.083460449
6 Strongly disagree 233 5.1% 0.050773589
7 No opinion 122 2.7% 0.026585313
97 Not answered 22 0.5% 0.004794073
98 Not asked 8920 NA


r30_ceremx_5


Variable label: Agree/disagree: Norwegian authorities should introduce measures that: limit the consumption of clothing.
Pre-question text: [r30_ceremx_ran] To what extent do you agree or disagree that the Norwegian authorities should introduce measures that 
Literal question: …limit the consumption of clothing.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2,3 | r30_rangroup_gr6 = 1,5)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 823 17.9% 0.17934190
2 Agree 1203 26.2% 0.26214862
3 Agree somewhat 1177 25.6% 0.25648289
4 Disagree somewhat 384 8.4% 0.08367836
5 Disagree 480 10.5% 0.10459795
6 Strongly disagree 399 8.7% 0.08694705
7 No opinion 98 2.1% 0.02135542
97 Not answered 25 0.5% 0.00544781
98 Not asked 8920 NA


r30_ceremxo


Variable label: We would like to hear more about your thoughts on the introduction of these types of measures.
Literal question: We would like to hear more about your thoughts on the introduction of these types of measures.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2,3 | r30_rangroup_gr6 = 1,5)]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_dmderx_ran1


Variable label: Experiment. Randomly selects an element for textpiping in [r30_dmderx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 2)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2288] [Invalid:11221] [Range:1-3]

Value Label Cases Percentage
1 you had to apply to the National Labour and Welfare Administration (NAV) for financial assistance 768 33.6% 0.3356643
2 you had to contact the Norwegian Tax Administration regarding a tax claim you think is incorrect 751 32.8% 0.3282343
3 you had to apply for a building permit from the municipality regarding a project you wanted to carry out 769 33.6% 0.3361014
Sysmiss 11221 NA


r30_dmderx_ran2


Variable label: Experiment. Randomly selects an element for textpiping in [r30_dmderx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 2)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2288] [Invalid:11221] [Range:1-2]

Value Label Cases Percentage
1 BLANK 1151 50.3% 0.5030594
2 To get help processing your case, the case officer in this instance uses artificial intelligence, based on machine learning, which provides recommendations on what should be done. 1137 49.7% 0.4969406
Sysmiss 11221 NA


r30_dmderx_kno


Variable label: Important characteristics of the case officer to represent your interests if [r30_dmderx_ran1]: A lot of knowledge about relevant laws and regulations.
Pre-question text: Imagine a situation where [r30_dmderx_ran1].  If you could choose a case officer to represent your interests in this situation, how important would these characteristics of the case officer be to you? [r30_dmderx_ran2]
Literal question: A lot of knowledge about relevant laws and regulations
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2 | r30_rangroup_gr6 = 2)]

[Display order of questions in grid: Randomized]

[[r30_dmderx_kno] and [r30_dmderx_exp] was held as the first two questions. The remainder of the questions was in random order.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 1381 60.3% 0.60332023
2 Important 770 33.6% 0.33639144
3 Somewhat important 83 3.6% 0.03626038
4 Not very important 15 0.7% 0.00655308
5 Not important at all 15 0.7% 0.00655308
97 Not answered 25 1.1% 0.01092180
98 Not asked 11220 NA


r30_dmderx_exp


Variable label: Important characteristics of the case officer to represent your interests if [r30_dmderx_ran1]: A lot of experience assessing these types of cases.
Pre-question text: Imagine a situation where [r30_dmderx_ran1].  If you could choose a case officer to represent your interests in this situation, how important would these characteristics of the case officer be to you? [r30_dmderx_ran2]
Literal question: A lot of experience assessing these types of cases 
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2 | r30_rangroup_gr6 = 2)]

[Display order of questions in grid: Randomized]

[[r30_dmderx_kno] and [r30_dmderx_exp] was held as the first two questions. The remainder of the questions was in random order.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 714 31.2% 0.31192661
2 Important 999 43.6% 0.43643512
3 Somewhat important 425 18.6% 0.18567060
4 Not very important 97 4.2% 0.04237658
5 Not important at all 20 0.9% 0.00873744
97 Not answered 34 1.5% 0.01485365
98 Not asked 11220 NA


r30_dmderx_edu


Variable label: Important characteristics of the case officer to represent your interests if [r30_dmderx_ran1]: Same level of education as you.
Pre-question text: Imagine a situation where [r30_dmderx_ran1].  If you could choose a case officer to represent your interests in this situation, how important would these characteristics of the case officer be to you? [r30_dmderx_ran2]
Literal question: Same level of education as you
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2 | r30_rangroup_gr6 = 2)]

[Display order of questions in grid: Randomized]

[[r30_dmderx_kno] and [r30_dmderx_exp] was held as the first two questions. The remainder of the questions was in random order.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 24 1.0% 0.01048493
2 Important 105 4.6% 0.04587156
3 Somewhat important 332 14.5% 0.14504150
4 Not very important 579 25.3% 0.25294889
5 Not important at all 1208 52.8% 0.52774137
97 Not answered 41 1.8% 0.01791175
98 Not asked 11220 NA


r30_dmderx_sor


Variable label: Important characteristics of the case officer to represent your interests if [r30_dmderx_ran1]: Same sexual orientation as you.
Pre-question text: Imagine a situation where [r30_dmderx_ran1].  If you could choose a case officer to represent your interests in this situation, how important would these characteristics of the case officer be to you? [r30_dmderx_ran2]
Literal question: Same sexual orientation as you
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2 | r30_rangroup_gr6 = 2)]

[Display order of questions in grid: Randomized]

[[r30_dmderx_kno] and [r30_dmderx_exp] was held as the first two questions. The remainder of the questions was in random order.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 17 0.7% 0.007426824
2 Important 27 1.2% 0.011795544
3 Somewhat important 30 1.3% 0.013106160
4 Not very important 357 15.6% 0.155963303
5 Not important at all 1825 79.7% 0.797291394
97 Not answered 33 1.4% 0.014416776
98 Not asked 11220 NA


r30_dmderx_reg


Variable label: Important characteristics of the case officer to represent your interests if [r30_dmderx_ran1]: From the same part of the country as you.
Pre-question text: Imagine a situation where [r30_dmderx_ran1].  If you could choose a case officer to represent your interests in this situation, how important would these characteristics of the case officer be to you? [r30_dmderx_ran2]
Literal question: From the same part of the country as you
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2 | r30_rangroup_gr6 = 2)]

[Display order of questions in grid: Randomized]

[[r30_dmderx_kno] and [r30_dmderx_exp] was held as the first two questions. The remainder of the questions was in random order.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 33 1.4% 0.01441678
2 Important 70 3.1% 0.03058104
3 Somewhat important 161 7.0% 0.07033639
4 Not very important 472 20.6% 0.20620358
5 Not important at all 1515 66.2% 0.66186107
97 Not answered 38 1.7% 0.01660114
98 Not asked 11220 NA


r30_dmderx_gen


Variable label: Important characteristics of the case officer to represent your interests if [r30_dmderx_ran1]: Same sex as you.
Pre-question text: Imagine a situation where [r30_dmderx_ran1].  If you could choose a case officer to represent your interests in this situation, how important would these characteristics of the case officer be to you? [r30_dmderx_ran2]
Literal question: Same sex as you
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2 | r30_rangroup_gr6 = 2)]

[Display order of questions in grid: Randomized]

[[r30_dmderx_kno] and [r30_dmderx_exp] was held as the first two questions. The remainder of the questions was in random order.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 10 0.4% 0.004368720
2 Important 13 0.6% 0.005679336
3 Somewhat important 54 2.4% 0.023591088
4 Not very important 445 19.4% 0.194408038
5 Not important at all 1733 75.7% 0.757099170
97 Not answered 34 1.5% 0.014853648
98 Not asked 11220 NA


r30_dmderx_rel


Variable label: Important characteristics of the case officer to represent your interests if [r30_dmderx_ran1]: Same religious faith as you.
Pre-question text: Imagine a situation where [r30_dmderx_ran1].  If you could choose a case officer to represent your interests in this situation, how important would these characteristics of the case officer be to you? [r30_dmderx_ran2]
Literal question: Same religious faith as you
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2 | r30_rangroup_gr6 = 2)]

[Display order of questions in grid: Randomized]

[[r30_dmderx_kno] and [r30_dmderx_exp] was held as the first two questions. The remainder of the questions was in random order.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 20 0.9% 0.00873744
2 Important 48 2.1% 0.02096986
3 Somewhat important 111 4.8% 0.04849279
4 Not very important 422 18.4% 0.18435998
5 Not important at all 1655 72.3% 0.72302315
97 Not answered 33 1.4% 0.01441678
98 Not asked 11220 NA


r30_dmderx_age


Variable label: Important characteristics of the case officer to represent your interests if [r30_dmderx_ran1]: About the same age as you.
Pre-question text: Imagine a situation where [r30_dmderx_ran1].  If you could choose a case officer to represent your interests in this situation, how important would these characteristics of the case officer be to you? [r30_dmderx_ran2]
Literal question: About the same age as you
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2 | r30_rangroup_gr6 = 2)]

[Display order of questions in grid: Randomized]

[[r30_dmderx_kno] and [r30_dmderx_exp] was held as the first two questions. The remainder of the questions was in random order.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 9 0.4% 0.003931848
2 Important 43 1.9% 0.018785496
3 Somewhat important 174 7.6% 0.076015727
4 Not very important 658 28.7% 0.287461774
5 Not important at all 1369 59.8% 0.598077763
97 Not answered 36 1.6% 0.015727392
98 Not asked 11220 NA


r30_dmderx_eth


Variable label: Important characteristics of the case officer to represent your interests if [r30_dmderx_ran1]: Same ethnic origin as you.
Pre-question text: Imagine a situation where [r30_dmderx_ran1].  If you could choose a case officer to represent your interests in this situation, how important would these characteristics of the case officer be to you? [r30_dmderx_ran2]
Literal question: Same ethnic origin as you
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2 | r30_rangroup_gr6 = 2)]

[Display order of questions in grid: Randomized]

[[r30_dmderx_kno] and [r30_dmderx_exp] was held as the first two questions. The remainder of the questions was in random order.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 58 2.5% 0.02533858
2 Important 75 3.3% 0.03276540
3 Somewhat important 214 9.3% 0.09349061
4 Not very important 466 20.4% 0.20358235
5 Not important at all 1444 63.1% 0.63084316
97 Not answered 32 1.4% 0.01397990
98 Not asked 11220 NA


r30_dmderx_pol


Variable label: Important characteristics of the case officer to represent your interests if [r30_dmderx_ran1]: Same political standpoint as you.
Pre-question text: Imagine a situation where [r30_dmderx_ran1].  If you could choose a case officer to represent your interests in this situation, how important would these characteristics of the case officer be to you? [r30_dmderx_ran2]
Literal question: Same political standpoint as you
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2 | r30_rangroup_gr6 = 2)]

[Display order of questions in grid: Randomized]

[[r30_dmderx_kno] and [r30_dmderx_exp] was held as the first two questions. The remainder of the questions was in random order.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 16 0.7% 0.006989952
2 Important 48 2.1% 0.020969856
3 Somewhat important 203 8.9% 0.088685015
4 Not very important 617 27.0% 0.269550022
5 Not important at all 1374 60.0% 0.600262123
97 Not answered 31 1.4% 0.013543032
98 Not asked 11220 NA


r30_dmderx_wor


Variable label: Important characteristics of the case officer to represent your interests if [r30_dmderx_ran1]: Same type of work experience as you.
Pre-question text: Imagine a situation where [r30_dmderx_ran1].  If you could choose a case officer to represent your interests in this situation, how important would these characteristics of the case officer be to you? [r30_dmderx_ran2]
Literal question: Same type of work experience as you
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2 | r30_rangroup_gr6 = 2)]

[Display order of questions in grid: Randomized]

[[r30_dmderx_kno] and [r30_dmderx_exp] was held as the first two questions. The remainder of the questions was in random order.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 26 1.1% 0.01135867
2 Important 90 3.9% 0.03931848
3 Somewhat important 268 11.7% 0.11708170
4 Not very important 611 26.7% 0.26692879
5 Not important at all 1263 55.2% 0.55176933
97 Not answered 31 1.4% 0.01354303
98 Not asked 11220 NA


r30_dmbefx_1


Variable label: Agree/disagree: I believe I am capable of obtaining most public benefits, services, and permits that I am entitled to in such a case.
Pre-question text: Imagine again that you were in a situation where [r30_dmderx_ran1]. [r30_dmderx_ran2] Generally speaking, to what extent do you agree or disagree with the following statement?
Literal question: I believe I am capable of obtaining most public benefits, services, and permits that I am entitled to in such a case.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2 | r30_rangroup_gr6 = 2)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 97 4.2% 0.04237658
2 Agree 485 21.2% 0.21188292
3 Agree somewhat 606 26.5% 0.26474443
4 Neither agree nor disagree 492 21.5% 0.21494102
5 Disagree somewhat 310 13.5% 0.13543032
6 Disagree 202 8.8% 0.08824814
7 Strongly disagree 43 1.9% 0.01878550
97 Not answered 54 2.4% 0.02359109
98 Not asked 11220 NA


r30_dmbefx_2


Variable label: Agree/disagree: Public administration is so complex that people like me cannot understand what is going on within different agencies, directorates and municipalities when it comes to such a case.
Pre-question text: Imagine again that you were in a situation where [r30_dmderx_ran1]. [r30_dmderx_ran2] Generally speaking, to what extent do you agree or disagree with the following statement?
Literal question: Public administration is so complex that people like me cannot understand what is going on within different agencies, directorates and municipalities when it comes to such a case.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2 | r30_rangroup_gr6 = 2)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 234 10.2% 0.10222805
2 Agree 459 20.1% 0.20052425
3 Agree somewhat 712 31.1% 0.31105286
4 Neither agree nor disagree 304 13.3% 0.13280909
5 Disagree somewhat 234 10.2% 0.10222805
6 Disagree 237 10.4% 0.10353866
7 Strongly disagree 60 2.6% 0.02621232
97 Not answered 49 2.1% 0.02140673
98 Not asked 11220 NA


r30_dmbefx_3


Variable label: Agree/disagree: People working in public administration do not care what needs people like me have in such a case.
Pre-question text: Imagine again that you were in a situation where [r30_dmderx_ran1]. [r30_dmderx_ran2] Generally speaking, to what extent do you agree or disagree with the following statement?
Literal question: People working in public administration do not care what needs people like me have in such a case.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2 | r30_rangroup_gr6 = 2)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 117 5.1% 0.05111402
2 Agree 250 10.9% 0.10921800
3 Agree somewhat 479 20.9% 0.20926169
4 Neither agree nor disagree 594 26.0% 0.25950197
5 Disagree somewhat 329 14.4% 0.14373089
6 Disagree 374 16.3% 0.16339013
7 Strongly disagree 94 4.1% 0.04106597
97 Not answered 52 2.3% 0.02271734
98 Not asked 11220 NA


r30_dmbefx_4


Variable label: Agree /disagree: In such a situation, the public administration case officer is only interested in the technical aspects of the case, not in what those affected actually want.
Pre-question text: Imagine again that you were in a situation where [r30_dmderx_ran1]. [r30_dmderx_ran2] Generally speaking, to what extent do you agree or disagree with the following statement?
Literal question: In such a situation, the public administration case officer is only interested in the technical aspects of the case, not in what those affected actually want.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2 | r30_rangroup_gr6 = 2)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 134 5.9% 0.05854085
2 Agree 363 15.9% 0.15858453
3 Agree somewhat 499 21.8% 0.21799913
4 Neither agree nor disagree 635 27.7% 0.27741372
5 Disagree somewhat 294 12.8% 0.12844037
6 Disagree 241 10.5% 0.10528615
7 Strongly disagree 68 3.0% 0.02970730
97 Not answered 55 2.4% 0.02402796
98 Not asked 11220 NA


r30_inimp_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r30_inimp].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2222] [Invalid:11287] [Range:1-3]

Value Label Cases Percentage
1 Germany 747 33.6% 0.3361836
2 Great Britain 729 32.8% 0.3280828
3 Sweden 746 33.6% 0.3357336
Sysmiss 11287 NA


r30_inimp_1


Variable label: Positive/negative is your impression of: The United States
Pre-question text: We would now like to ask you about the general impression you have of a few other countries. How positive or negative is your impression of:
Literal question: The United States.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2 | r30_rangroup_gr6 = 3)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 28 1.2% 0.01235658
2 Positive 170 7.5% 0.07502207
3 Somewhat positive 487 21.5% 0.21491615
4 Somewhat negative 603 26.6% 0.26610768
5 Negative 555 24.5% 0.24492498
6 Very negative 339 15.0% 0.14960282
7 No opinion 30 1.3% 0.01323919
97 Not answered 54 2.4% 0.02383054
98 Not asked 11243 NA


r30_inimp_2


Variable label: Positive/negative is your impression of: China
Pre-question text: We would now like to ask you about the general impression you have of a few other countries. How positive or negative is your impression of:
Literal question: China
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2 | r30_rangroup_gr6 = 3)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 3 0.1% 0.001323919
2 Positive 37 1.6% 0.016328332
3 Somewhat positive 229 10.1% 0.101059135
4 Somewhat negative 564 24.9% 0.248896734
5 Negative 722 31.9% 0.318623124
6 Very negative 582 25.7% 0.256840247
7 No opinion 72 3.2% 0.031774051
97 Not answered 57 2.5% 0.025154457
98 Not asked 11243 NA


r30_inimp_3


Variable label: Positive/negative is your impression of: [r30_inimp_ran]
Pre-question text: We would now like to ask you about the general impression you have of a few other countries. How positive or negative is your impression of:
Literal question: [r30_inimp_ran]
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2 | r30_rangroup_gr6 = 3)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 141 6.2% 0.06222418
2 Positive 831 36.7% 0.36672551
3 Somewhat positive 758 33.5% 0.33451015
4 Somewhat negative 272 12.0% 0.12003530
5 Negative 102 4.5% 0.04501324
6 Very negative 30 1.3% 0.01323919
7 No opinion 75 3.3% 0.03309797
97 Not answered 57 2.5% 0.02515446
98 Not asked 11243 NA


r30_teaiu


Variable label: Have you tried using artificial intelligence (AI)?
Literal question: Have you tried using artificial intelligence (AI) (e.g. text, audio, or image services, such as ChatGPT, My AI, Dall-E, etc.)?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Yes, regularly/many times 281 12.4% 0.12400706
2 Yes, a few times 631 27.8% 0.27846425
3 No, but am willing to try 729 32.2% 0.32171227
4 No, and I don’t intent to try 534 23.6% 0.23565755
5 Other: (Write here) 31 1.4% 0.01368049
97 Not answered 60 2.6% 0.02647838
98 Not asked 11243 NA


r30_teaiu_5_other


Variable label: Have you tried using artificial intelligence (AI): Other: (plese write)
Pre-question text: Have you tried using artificial intelligence (AI) (e.g. text, audio, or image services, such as ChatGPT, My AI, Dall-E, etc.)?
Literal question: Other: (Write here)
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2 | r30_rangroup_gr6 = 3)]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Single - Other] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_teaic_1


Variable label: In what context have you used AI: Work
Pre-question text: In what context have you used AI?
Literal question: Work
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_teaiu = 1,2,5) & (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 439 46.6% 0.4655355
0 Not selected 504 53.4% 0.5344645
97 Not answered 0 0.0% 0.0000000
98 Not asked 12566 NA


r30_teaic_2


Variable label: In what context have you used AI: Education or school
Pre-question text: In what context have you used AI?
Literal question: Education or school
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_teaiu = 1,2,5) & (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 202 21.4% 0.21421
0 Not selected 741 78.6% 0.78579
97 Not answered 0 0.0% 0.00000
98 Not asked 12566 NA


r30_teaic_3


Variable label: In what context have you used AI: Organised leisure activities/voluntary work
Pre-question text: In what context have you used AI?
Literal question: Organised leisure activities/voluntary work
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_teaiu = 1,2,5) & (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 76 8.1% 0.08059385
0 Not selected 867 91.9% 0.91940615
97 Not answered 0 0.0% 0.00000000
98 Not asked 12566 NA


r30_teaic_4


Variable label: In what context have you used AI: Games or entertainment
Pre-question text: In what context have you used AI?
Literal question: Games or entertainment
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_teaiu = 1,2,5) & (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 400 42.4% 0.4241782
0 Not selected 543 57.6% 0.5758218
97 Not answered 0 0.0% 0.0000000
98 Not asked 12566 NA


r30_teaic_5


Variable label: In what context have you used AI: Other private contexts
Pre-question text: In what context have you used AI?
Literal question: Other private contexts
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_teaiu = 1,2,5) & (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 379 40.2% 0.4019088
0 Not selected 564 59.8% 0.5980912
97 Not answered 0 0.0% 0.0000000
98 Not asked 12566 NA


r30_teaic_6


Variable label: In what context have you used AI: More: (Write here)
Pre-question text: In what context have you used AI?
Literal question: More: (Write here)
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_teaiu = 1,2,5) & (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 52 5.5% 0.05514316
0 Not selected 891 94.5% 0.94485684
97 Not answered 0 0.0% 0.00000000
98 Not asked 12566 NA


r30_teaic_6_other


Variable label: Open: In what context have you used AI: More: (Write here)
Literal question: More: (Write here)
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_teaiu = 1,2,5) & (r30_group = 2 | r30_rangroup_gr6 = 3)]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Multi - Other] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_pomlp


Variable label: Among the national political parties currently in the Storting, which party do you like the best?
Literal question: There are many parties to vote for in the Norwegian political system. Among the national political parties currently in the Storting, which party do you like the best?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2 | r30_rangroup_gr6 = 3)]

[Answer list display order: Randomized]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-9]

Value Label Cases Percentage
1 The Christian Democrats 93 4.1% 0.04104148
2 The Conservative Party 509 22.5% 0.22462489
3 The Progress Party 325 14.3% 0.14342454
4 The Liberal Party 169 7.5% 0.07458076
5 The Socialist Left Party 313 13.8% 0.13812886
6 The Centre Party 101 4.5% 0.04457193
7 The Green Party 94 4.1% 0.04148279
8 The Labour Party 403 17.8% 0.17784643
9 The Red Party 156 6.9% 0.06884378
97 Not answered 103 4.5% 0.04545455
98 Not asked 11243 NA


r30_pollp2


Variable label: Among the national political parties currently in the Storting, which party do you like the least?
Literal question: Among the national political parties currently in the Storting, which party do you like the least?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2 | r30_rangroup_gr6 = 3)]

[Answer list display order: Randomized]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-9]

Value Label Cases Percentage
1 The Christian Democrats 134 5.9% 0.05913504
2 The Conservative Party 78 3.4% 0.03442189
3 The Progress Party 809 35.7% 0.35701677
4 The Liberal Party 42 1.9% 0.01853486
5 The Socialist Left Party 70 3.1% 0.03089144
6 The Centre Party 141 6.2% 0.06222418
7 The Green Party 323 14.3% 0.14254192
8 The Labour Party 112 4.9% 0.04942630
9 The Red Party 458 20.2% 0.20211827
97 Not answered 99 4.4% 0.04368932
98 Not asked 11243 NA


r30_poptix_lead1


Variable label: Experiment. Randomly selects a percentage for candidate A in [r30_poptix].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2214] [Invalid:11295] [Range:1-2]

Value Label Cases Percentage
1 20% 1124 50.8% 0.5076784
2 80% 1090 49.2% 0.4923216
Sysmiss 11295 NA


r30_poptix_lead2


Variable label: Experiment. Randomly selects a percentage for candidate B in [r30_poptix].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2214] [Invalid:11295] [Range:1-2]

Value Label Cases Percentage
1 20% 1098 49.6% 0.495935
2 80% 1116 50.4% 0.504065
Sysmiss 11295 NA


r30_poptix_pol1


Variable label: Experiment. Randomly selects a percentage for candidate A in [r30_poptix].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2214] [Invalid:11295] [Range:1-2]

Value Label Cases Percentage
1 20% 1112 50.2% 0.5022584
2 80% 1102 49.8% 0.4977416
Sysmiss 11295 NA


r30_poptix_pol2


Variable label: Experiment. Randomly selects a percentage for candidate B in [r30_poptix].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2214] [Invalid:11295] [Range:1-2]

Value Label Cases Percentage
1 20% 1112 50.2% 0.5022584
2 80% 1102 49.8% 0.4977416
Sysmiss 11295 NA


r30_poptix_hpers1


Variable label: Experiment. Randomly selects a percentage for candidate A in [r30_poptix].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2214] [Invalid:11295] [Range:1-2]

Value Label Cases Percentage
1 20% 1101 49.7% 0.49729
2 80% 1113 50.3% 0.50271
Sysmiss 11295 NA


r30_poptix_hpers2


Variable label: Experiment. Randomly selects a percentage for candidate B in [r30_poptix].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2214] [Invalid:11295] [Range:1-2]

Value Label Cases Percentage
1 20% 1129 51.0% 0.5099368
2 80% 1085 49.0% 0.4900632
Sysmiss 11295 NA


r30_poptix_epers1


Variable label: Experiment. Randomly selects a percentage for candidate A in [r30_poptix].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2214] [Invalid:11295] [Range:1-2]

Value Label Cases Percentage
1 20% 1129 51.0% 0.5099368
2 80% 1085 49.0% 0.4900632
Sysmiss 11295 NA


r30_poptix_epers2


Variable label: Experiment. Randomly selects a percentage for candidate B in [r30_poptix].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2214] [Invalid:11295] [Range:1-2]

Value Label Cases Percentage
1 20% 1111 50.2% 0.5018067
2 80% 1103 49.8% 0.4981933
Sysmiss 11295 NA


r30_poptix_gender1


Variable label: Experiment. Randomly selects gender for candidate A in [r30_poptix]. Value 3 (blank) is not part of the randomised draw, but is set if [r30_poptix_gender_disp] = 2.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2214] [Invalid:11295] [Range:1-3]

Value Label Cases Percentage
1 male 712 32.2% 0.3215899
2 female 758 34.2% 0.3423668
3 BLANK 744 33.6% 0.3360434
Sysmiss 11295 NA


r30_poptix_gender2


Variable label: Experiment. Randomly selects gender for candidate B in [r30_poptix]. Value 3 (blank) is not part of the randomised draw, but is set if [r30_poptix_gender_disp] = 2.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2214] [Invalid:11295] [Range:1-3]

Value Label Cases Percentage
1 male 753 34.0% 0.3401084
2 female 717 32.4% 0.3238482
3 BLANK 744 33.6% 0.3360434
Sysmiss 11295 NA


r30_poptix_party1


Variable label: Experiment. Randomly selects political party for candidate A in [r30_poptix]. Value 10 (blank) is not part of the randomised draw, but is set if [r30_poptix_party_disp] = 2.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2214] [Invalid:11295] [Range:1-10]

Value Label Cases Percentage
1 The Christian Democrats 79 3.6% 0.03568202
2 The Conservative Party 209 9.4% 0.09439928
3 The Progress Party 385 17.4% 0.17389341
4 The Liberal Party 78 3.5% 0.03523035
5 The Socialist Left Party 126 5.7% 0.05691057
6 The Centre Party 77 3.5% 0.03477868
7 The Green Party 145 6.5% 0.06549232
8 The Labour Party 166 7.5% 0.07497742
9 The Red Party 195 8.8% 0.08807588
10 BLANK 754 34.1% 0.34056007
Sysmiss 11295 NA


r30_poptix_party2


Variable label: Experiment. Randomly selects politisk parrti for candidate B in [r30_poptix]. Value 10 (blank) is not part of the randomised draw, but is set if [r30_poptix_party_disp] = 2.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2214] [Invalid:11295] [Range:1-10]

Value Label Cases Percentage
1 The Christian Democrats 71 3.2% 0.03206865
2 The Conservative Party 208 9.4% 0.09394761
3 The Progress Party 383 17.3% 0.17299006
4 The Liberal Party 83 3.7% 0.03748871
5 The Socialist Left Party 132 6.0% 0.05962060
6 The Centre Party 75 3.4% 0.03387534
7 The Green Party 132 6.0% 0.05962060
8 The Labour Party 178 8.0% 0.08039747
9 The Red Party 198 8.9% 0.08943089
10 BLANK 754 34.1% 0.34056007
Sysmiss 11295 NA


r30_poptix_gender_disp


Variable label: Experiment. Randomly selects (with conditional randomisation, 2/3 in favour of value 1) whether the gender-attribute will be shown for the respondent in [r30_poptix].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2214] [Invalid:11295] [Range:1-2]

Value Label Cases Percentage
1 Gender shown 1470 66.4% 0.6639566
2 Gender not shown 744 33.6% 0.3360434
Sysmiss 11295 NA


r30_poptix_party_disp


Variable label: Experiment. Randomly selects (with conditional randomisation, 2/3 in favour of value 1) whether the political party-attribute will be shown for the respondent in [r30_poptix]. If [r30_pomlp] and [r30_pollp2] is unanswered the attribute is not shown regardless.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2214] [Invalid:11295] [Range:1-2]

Value Label Cases Percentage
1 Party shown 1460 65.9% 0.6594399
2 Party not shown 754 34.1% 0.3405601
Sysmiss 11295 NA


r30_poptix_rerandomize


Variable label: Experiment. Technical details on re-randomisation of [r30_poptix]-variables if it was necessary.
Field period: 03.06.2024 - 04.07.2024
Technical description: [If there was a necessity to re-randomise information for one of the candidates in [r30_poptix], the information is stored here.]
Technical attributes: [Question type:Open] [Format:character] [Valid:2214] [Invalid:11295] [Range:-]



r30_poptix_roworder


Variable label: Experiment. The random order of attributes shown in the table in [r30_poptix]. Sets the subject’s rowwise placement, sorted by subject.
Field period: 03.06.2024 - 04.07.2024
Technical description: [If the first number is 2, it means that subject 1 (“Is a good leader”) was displayed in row number 2. If the second number is 4, it means that subject 1 (“Is a skilled and experienced politician”) was displayed in row number 4, etc.. For the sequential order, sorted by rownumber, see [r30_poptix_roworder_seq]. 1 = Is a good leader. 2 = Is a skilled and experienced politician. 3 = Is an honest and trustworthy person. 4 = Is an empathic and caring person.]
Technical attributes: [Question type:Open] [Format:character] [Valid:2214] [Invalid:11295] [Range:-]



r30_poptix_roworder_seq


Variable label: Experiment. The random order of attributes shown in the table in [r30_poptix]. Set sequentially, sorted by rownumber.
Field period: 03.06.2024 - 04.07.2024
Technical description: [The first number in the array shows what category was displayed in the first row, while the next number shows what category was shown in the second row etc.. 1 = Is a good leader. 2 = Is a skilled and experienced politician. 3 = Is an honest and trustworthy person. 4 = Is an empathic and caring person.]
Technical attributes: [Question type:Open] [Format:character] [Valid:2214] [Invalid:11295] [Range:-]



r30_poptix_1


Variable label: Good/bad impression of fictitious party leaders who runs in Norwegian parliamentary elections: Candidate A
Pre-question text:

You will now be presented with two fictional party leaders from political parties running in Norwegian parliamentary elections. Below are results from a poll showing how the population rates them in relation to four different personality traits. In some cases, there is also information about the candidates’ gender and party affiliation. Please note that both candidates can represent the same political party.

We will ask you to rate the two candidates based on the information you have received, and then state how good or bad an impression you have of each of them. Remember, it is not necessary to know completely everything about each candidate to provide an assessment. We are interested in your immediate reactions based on the limited information.

Candidate A [r30_poptix_lead1] [r30_poptix_pol1] [r30_poptix_hpers1] [r30_poptix_epers1] [r30_poptix_gender1] [r30_poptix_party1]

Candidate B [r30_poptix_lead2] [r30_poptix_pol2] [r30_poptix_hpers2] [r30_poptix_epers2] [r30_poptix_gender2] [r30_poptix_party2]

Based on the above information, how good or bad an impression do you have of…
Literal question: Candidate A
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2 | r30_rangroup_gr6 = 3)]

[Displayed on the same page as [r30_poptcx].

Respondents was shown information about the candidates in a table with horizontal columns as an expression for the percentage together with the actual number. Variables listed in pre-question text was shown in random order which is stored in [r30_poptix_roworder] and [r30_poptix_roworder_seq].

[r30_poptix_gender1] and [r30_poptix_gender2] was shown to the respondent if [r30_poptix_gender_disp] = 1. [r30_poptix_party1] and [r30_poptix_party2] was shown to the respondent if [r30_poptix_party_disp] = 1.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Good impression 516 22.8% 0.22771403
2 Somewhat good impression 614 27.1% 0.27096205
3 Neither a good nor a bad impression 439 19.4% 0.19373345
4 Somewhat bad impression 391 17.3% 0.17255075
5 Bad impression 194 8.6% 0.08561342
97 Not answered 112 4.9% 0.04942630
98 Not asked 11243 NA


r30_poptix_2


Variable label: Good/bad impression of fictitious party leaders who runs in Norwegian parliamentary elections: Candidate B
Pre-question text:

You will now be presented with two fictional party leaders from political parties running in Norwegian parliamentary elections. Below are results from a poll showing how the population rates them in relation to four different personality traits. In some cases, there is also information about the candidates’ gender and party affiliation. Please note that both candidates can represent the same political party.

We will ask you to rate the two candidates based on the information you have received, and then state how good or bad an impression you have of each of them. Remember, it is not necessary to know completely everything about each candidate to provide an assessment. We are interested in your immediate reactions based on the limited information.

Candidate A [r30_poptix_lead1] [r30_poptix_pol1] [r30_poptix_hpers1] [r30_poptix_epers1] [r30_poptix_gender1] [r30_poptix_party1]

Candidate B [r30_poptix_lead2] [r30_poptix_pol2] [r30_poptix_hpers2] [r30_poptix_epers2] [r30_poptix_gender2] [r30_poptix_party2]

Based on the above information, how good or bad an impression do you have of…
Literal question: Candidate B
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2 | r30_rangroup_gr6 = 3)]

[Displayed on the same page as [r30_poptcx]]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Good impression 415 18.3% 0.18314210
2 Somewhat good impression 634 28.0% 0.27978817
3 Neither a good nor a bad impression 451 19.9% 0.19902913
4 Somewhat bad impression 435 19.2% 0.19196823
5 Bad impression 219 9.7% 0.09664607
97 Not answered 112 4.9% 0.04942630
98 Not asked 11243 NA


r30_poptcx


Variable label: Assume that candidate A and B runs as prime minister candidates in Norway.If you had to chose, which of them would you support?
Pre-question text:

You will now be presented with two fictional party leaders from political parties running in Norwegian parliamentary elections. Below are results from a poll showing how the population rates them in relation to four different personality traits. In some cases, there is also information about the candidates’ gender and party affiliation. Please note that both candidates can represent the same political party.

We will ask you to rate the two candidates based on the information you have received, and then state how good or bad an impression you have of each of them. Remember, it is not necessary to know completely everything about each candidate to provide an assessment. We are interested in your immediate reactions based on the limited information.

Candidate A [r30_poptix_lead1] [r30_poptix_pol1] [r30_poptix_hpers1] [r30_poptix_epers1] [r30_poptix_gender1] [r30_poptix_party1]

Candidate B [r30_poptix_lead2] [r30_poptix_pol2] [r30_poptix_hpers2] [r30_poptix_epers2] [r30_poptix_gender2] [r30_poptix_party2]

Based on the above information, how good or bad an impression do you have of…
Literal question: Assume that candidates A and B are running for the position of Prime Minister in Norway. If you had to choose, which one would you support?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 2 | r30_rangroup_gr6 = 3)]

[Displayed on the same page as [r30_poptix_1] and [r30_poptix_2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Candidate A 1086 47.9% 0.47925861
2 Candidate B 1034 45.6% 0.45631068
97 Not answered 146 6.4% 0.06443071
98 Not asked 11243 NA


r30_mllog


Variable label: Agree/disagree: Norwegian democracy could have worked just as well without local self-governance.
Literal question: Local self-governance means that democratically elected representatives in municipalities and county authorities have the authority to decide on certain rules, taxes, and resource allocation in their region without state interference. This means that different municipalities or county authorities can implement varying policies in areas such as healthcare, education, tax levels, and similar matters. To what extent do you agree or disagree with the following statement: Norwegian democracy could have worked just as well without local self-governance.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 60 2.6% 0.026235243
2 Agree 182 8.0% 0.079580236
3 Agree somewhat 338 14.8% 0.147791867
4 Neither agree nor disagree 242 10.6% 0.105815479
5 Disagree somewhat 456 19.9% 0.199387844
6 Disagree 690 30.2% 0.301705291
7 Strongly disagree 300 13.1% 0.131176213
97 Not answered 19 0.8% 0.008307827
98 Not asked 11222 NA


r30_mlaco_1


Variable label: In which areas do you believe that national intervention in local self-governance is acceptable: Health services
Pre-question text: Local self-governance means that democratically elected representatives in municipalities and county authorities have the authority to decide on certain rules, taxes, and resource allocation in their region without state interference. Local self-governance is therefore crucial in relation to citizens having the opportunity to make decisions that directly affect them. However, there are instances where national authorities override locally elected representatives and municipalities to safeguard national interests and values. In which areas do you believe that national intervention in local self-governance is acceptable? 
Literal question: Health services
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 1458 63.8% 0.63751640
0 Not selected 802 35.1% 0.35067774
97 Not answered 27 1.2% 0.01180586
98 Not asked 11222 NA


r30_mlaco_2


Variable label: In which areas do you believe that national intervention in local self-governance is acceptable: School
Pre-question text: Local self-governance means that democratically elected representatives in municipalities and county authorities have the authority to decide on certain rules, taxes, and resource allocation in their region without state interference. Local self-governance is therefore crucial in relation to citizens having the opportunity to make decisions that directly affect them. However, there are instances where national authorities override locally elected representatives and municipalities to safeguard national interests and values. In which areas do you believe that national intervention in local self-governance is acceptable? 
Literal question: School
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 1161 50.8% 0.50765195
0 Not selected 1099 48.1% 0.48054220
97 Not answered 27 1.2% 0.01180586
98 Not asked 11222 NA


r30_mlaco_3


Variable label: In which areas do you believe that national intervention in local self-governance is acceptable: Income tax
Pre-question text: Local self-governance means that democratically elected representatives in municipalities and county authorities have the authority to decide on certain rules, taxes, and resource allocation in their region without state interference. Local self-governance is therefore crucial in relation to citizens having the opportunity to make decisions that directly affect them. However, there are instances where national authorities override locally elected representatives and municipalities to safeguard national interests and values. In which areas do you believe that national intervention in local self-governance is acceptable? 
Literal question: Income tax
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 1045 45.7% 0.45693048
0 Not selected 1215 53.1% 0.53126366
97 Not answered 27 1.2% 0.01180586
98 Not asked 11222 NA


r30_mlaco_4


Variable label: In which areas do you believe that national intervention in local self-governance is acceptable: Environmental protetiction
Pre-question text: Local self-governance means that democratically elected representatives in municipalities and county authorities have the authority to decide on certain rules, taxes, and resource allocation in their region without state interference. Local self-governance is therefore crucial in relation to citizens having the opportunity to make decisions that directly affect them. However, there are instances where national authorities override locally elected representatives and municipalities to safeguard national interests and values. In which areas do you believe that national intervention in local self-governance is acceptable? 
Literal question: Environmental protection
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 1226 53.6% 0.53607346
0 Not selected 1034 45.2% 0.45212068
97 Not answered 27 1.2% 0.01180586
98 Not asked 11222 NA


r30_mlaco_5


Variable label: In which areas do you believe that national intervention in local self-governance is acceptable: Road development
Pre-question text: Local self-governance means that democratically elected representatives in municipalities and county authorities have the authority to decide on certain rules, taxes, and resource allocation in their region without state interference. Local self-governance is therefore crucial in relation to citizens having the opportunity to make decisions that directly affect them. However, there are instances where national authorities override locally elected representatives and municipalities to safeguard national interests and values. In which areas do you believe that national intervention in local self-governance is acceptable? 
Literal question: Road development
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 1002 43.8% 0.43812855
0 Not selected 1258 55.0% 0.55006559
97 Not answered 27 1.2% 0.01180586
98 Not asked 11222 NA


r30_mlaco_6


Variable label: In which areas do you believe that national intervention in local self-governance is acceptable: The climate
Pre-question text: Local self-governance means that democratically elected representatives in municipalities and county authorities have the authority to decide on certain rules, taxes, and resource allocation in their region without state interference. Local self-governance is therefore crucial in relation to citizens having the opportunity to make decisions that directly affect them. However, there are instances where national authorities override locally elected representatives and municipalities to safeguard national interests and values. In which areas do you believe that national intervention in local self-governance is acceptable? 
Literal question: The climate
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 1207 52.8% 0.52776563
0 Not selected 1053 46.0% 0.46042851
97 Not answered 27 1.2% 0.01180586
98 Not asked 11222 NA


r30_mlaco_7


Variable label: In which areas do you believe that national intervention in local self-governance is acceptable: Cultural preservation
Pre-question text: Local self-governance means that democratically elected representatives in municipalities and county authorities have the authority to decide on certain rules, taxes, and resource allocation in their region without state interference. Local self-governance is therefore crucial in relation to citizens having the opportunity to make decisions that directly affect them. However, there are instances where national authorities override locally elected representatives and municipalities to safeguard national interests and values. In which areas do you believe that national intervention in local self-governance is acceptable? 
Literal question: Cultural preservation
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 799 34.9% 0.34936598
0 Not selected 1461 63.9% 0.63882816
97 Not answered 27 1.2% 0.01180586
98 Not asked 11222 NA


r30_mlaco_8


Variable label: In which areas do you believe that national intervention in local self-governance is acceptable: Child care
Pre-question text: Local self-governance means that democratically elected representatives in municipalities and county authorities have the authority to decide on certain rules, taxes, and resource allocation in their region without state interference. Local self-governance is therefore crucial in relation to citizens having the opportunity to make decisions that directly affect them. However, there are instances where national authorities override locally elected representatives and municipalities to safeguard national interests and values. In which areas do you believe that national intervention in local self-governance is acceptable? 
Literal question: Child welfare
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 1047 45.8% 0.45780498
0 Not selected 1213 53.0% 0.53038916
97 Not answered 27 1.2% 0.01180586
98 Not asked 11222 NA


r30_mlaco_9


Variable label: In which areas do you believe that national intervention in local self-governance is acceptable: None of these
Pre-question text: Local self-governance means that democratically elected representatives in municipalities and county authorities have the authority to decide on certain rules, taxes, and resource allocation in their region without state interference. Local self-governance is therefore crucial in relation to citizens having the opportunity to make decisions that directly affect them. However, there are instances where national authorities override locally elected representatives and municipalities to safeguard national interests and values. In which areas do you believe that national intervention in local self-governance is acceptable? 
Literal question: None of these
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 104 4.5% 0.04547442
0 Not selected 2156 94.3% 0.94271972
97 Not answered 27 1.2% 0.01180586
98 Not asked 11222 NA


r30_dvnei


Variable label: Easier/more difficult: for non-European immigrants to obtain residence in Norway
Literal question: Do you think it should be easier or more difficult for non-European immigrants to obtain residence in Norway?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 4 | r30_rangroup_gr6 = 8)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Much easier 53 2.3% 0.02347210
2 Easier 189 8.4% 0.08370239
3 Somewhat easier 609 27.0% 0.26970771
4 Slightly more difficult 668 29.6% 0.29583702
5 More difficult 380 16.8% 0.16829052
6 Much more difficult 322 14.3% 0.14260407
97 Not answered 37 1.6% 0.01638618
98 Not asked 11251 NA


r30_dvnei_orgvalue


Variable label: Indicates the respondents original value/first selection in [r30_dvnei].
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2221] [Invalid:11288] [Range:1-6]

Value Label Cases Percentage
1 Much easier 53 2.4% 0.02386312
2 Easier 188 8.5% 0.08464656
3 Somewhat easier 605 27.2% 0.27239982
4 Somewhat more difficult 672 30.3% 0.30256641
5 More difficult 382 17.2% 0.17199460
6 Much more difficult 321 14.5% 0.14452949
Sysmiss 11288 NA


r30_dvnevox_pipe1


Variable label: Experiment. Selects textpiping in [r30_dvnevox] which represents the respondents opposite attitude given in [r30_dvnei].
Field period: 03.06.2024 - 04.07.2024
Technical description: [If [r30_dvnei] = 1, 2, 3 the value is set to 1. If [r30_dvnei] = 4, 5, 6 the value is set to 2.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2221] [Invalid:11288] [Range:1-2]

Value Label Cases Percentage
1 more difficult 846 38.1% 0.3809095
2 easier 1375 61.9% 0.6190905
Sysmiss 11288 NA


r30_dvnevox_ran


Variable label: Experiment. Conditionally randomised selection of element for textpiping in [r30_dvnevox].
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Randomized if (r30_group = 4 | r30_rangroup_gr6 = 8)]

[If [r30_dvnevox_pipe1] = 1 it is randomised between 1 and 2. If [r30_dvnevox_pipe1] = 2 it is randomised between 3 and 4.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2221] [Invalid:11288] [Range:1-4]

Value Label Cases Percentage
1 The Progress Party (FrP) 413 18.6% 0.1859523
2 The Conservative Party 433 19.5% 0.1949572
3 The Socialist Left Party (SV) 702 31.6% 0.3160738
4 The Norwegian Labour Party (Ap) 673 30.3% 0.3030167
Sysmiss 11288 NA


r30_dvnevox_pipe2


Variable label: Experiment. Selects element for textpiping in [r30_dvnevox] based on value in [r30_dvnevox_ran].
Field period: 03.06.2024 - 04.07.2024
Technical description: [If [r30_dvnevox_ran] = 1 the value is set to 1. If [r30_dvnevox_ran] = 2 the value is set to 2. If [r30_dvnevox_ran] = 3 the value is set to 3. If [r30_dvnevox_ran] = 4 the value is set to 4.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2221] [Invalid:11288] [Range:1-4]

Value Label Cases Percentage
1 FrP voter 413 18.6% 0.1859523
2 Conservative party voter 433 19.5% 0.1949572
3 SV voter 702 31.6% 0.3160738
4 Ap voter 673 30.3% 0.3030167
Sysmiss 11288 NA


r30_dvnevox


Variable label: What do you think this voter believes is the best argument for making it [r30_dvnevox_pipe1] for non-European immigrants to be granted residence in Norway?
Literal question: Some of the people who vote [r30_dvnevox_ran] believe it should be [r30_dvnevox_pipe1] for non-European immigrants to be granted residence in Norway. Try see it from the perspective of a [r30_dvnevox_pipe2] who has this opinion, even if you don’t yourself.  What do you think this voter believes is the best argument for making it [r30_dvnevox_pipe1] for non-European immigrants to be granted residence in Norway?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 8) & (r30_dvnei is answered)]

[Displayed on the same page as [r30_dvnevoxf_1] and [r30_dvnevoxf_2]] [Data withheld due to privacy considerations.]
Technical attributes: [Question type:Open] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_dvnevoxf_1


Variable label: To what extent do you feel the following when someone uses this argument: Sadness
Pre-question text: To what extent do you feel the following when someone uses this argument?
Literal question: Sadness
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 8) & (r30_dvnei is answered)]

[Display order of questions in grid: Randomized]

[Displayed on the same page as [r30_dvnevox]]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 178 7.9% 0.07883082
2 A high degree 368 16.3% 0.16297609
3 Some degree 677 30.0% 0.29982285
4 A low degree 395 17.5% 0.17493357
5 Not at all 379 16.8% 0.16784765
97 Not answered 261 11.6% 0.11558902
98 Not asked 11251 NA


r30_dvnevoxf_2


Variable label: To what extent do you feel the following when someone uses this argument: Anger
Pre-question text: To what extent do you feel the following when someone uses this argument?
Literal question: Anger
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 8) & (r30_dvnei is answered)]

[Display order of questions in grid: Randomized]

[Displayed on the same page as [r30_dvnevox]]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 113 5.0% 0.05004429
2 A high degree 199 8.8% 0.08813109
3 Some degree 561 24.8% 0.24844996
4 A low degree 593 26.3% 0.26262179
5 Not at all 505 22.4% 0.22364925
97 Not answered 287 12.7% 0.12710363
98 Not asked 11251 NA


r30_dvnevoxe


Variable label: Good/bad: argument for non-european immigrants to be granted residence in Norway
Literal question: On the previous page, you were asked to write an argument on behalf of someone who believes it should be [r30_dvnevox_pipe1] for non-European immigrants to be granted residence in Norway? You wrote the following argument: [r30_dvnevox] How good or bad do you think the following proposal is?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 8) & (r30_dvnevox is answered)]

[Displayed on the same page as [r30_dvnevoxs] and [r30_dvnvoxc]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 108 5.8% 0.058409951
2 Good 313 16.9% 0.169280692
3 Fairly good 389 21.0% 0.210383991
4 Neither good nor bad 287 15.5% 0.155219037
5 Fairly bad 226 12.2% 0.122228231
6 Bad 324 17.5% 0.175229854
7 Very bad 187 10.1% 0.101135749
97 Not answered 15 0.8% 0.008112493
98 Not asked 11660 NA


r30_dvnevoxs


Variable label: To what extent do you think this argument should be taken seriously?
Literal question: To what extent do you think this argument should be taken seriously?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 8) & (r30_dvnevox is answered)]

[Displayed on the same page as [r30_dvnevoxe] and [r30_dvnvoxc]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 145 7.8% 0.07842077
2 A high degree 388 21.0% 0.20984316
3 Some degree 706 38.2% 0.38182802
4 A low degree 425 23.0% 0.22985398
5 Not at all 164 8.9% 0.08869659
97 Not answered 21 1.1% 0.01135749
98 Not asked 11660 NA


r30_dvnvoxc


Variable label: How likely is it that you would have managed to find an acceptable compromise with someone using this argument?
Literal question: How likely is it that you would have managed to find an acceptable compromise with someone using this argument?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 8) & (r30_dvnevox is answered)]

[Displayed on the same page as [r30_dvnevoxs] and [r30_dvnevocxe]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Highly likely 92 5.0% 0.04975663
2 Likely 449 24.3% 0.24283396
3 Fairly likely 697 37.7% 0.37696052
4 Not very likely 458 24.8% 0.24770146
5 Not at all likely 129 7.0% 0.06976744
97 Not answered 24 1.3% 0.01297999
98 Not asked 11660 NA


r30_dmaicx_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r30_dmaicx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 4 | r30_rangroup_gr6 = 8)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2214] [Invalid:11295] [Range:1-4]

Value Label Cases Percentage
1 BLANK 580 26.2% 0.2619693
2 Imagine if the courts were to implement a system based on artificial intelligence that would serve as a support tool for judges in determining the type of punishment and its length. Among other things, the system has access to a large number of similar cases and is able to accurately estimate the type of punishment and its duration in almost all cases. Due to the complex nature of the algorithm, it is not possible to know which factors the algorithm has given the most weight to. 547 24.7% 0.2470641
3 Imagine if the courts were to implement a system based on artificial intelligence that would serve as a support tool for judges in determining the type of punishment and its duration. Among other things, the system has access to a large number of similar cases and is able to accurately estimate the type of punishment and its duration in almost all cases. The algorithm’s decision is easy to understand, and it is possible to determine which factors the algorithm has given the most weight to. 543 24.5% 0.2452575
4 Imagine that the courts are implementing a system based on artificial intelligence that will make a final decision on the type of punishment and its duration. Among other things, the system has access to a large number of similar cases and is able to accurately estimate the type of punishment and its duration in almost all cases. The algorithm’s decision is easy to understand, and it is possible to determine which factors the algorithm has given the most weight to. 544 24.6% 0.2457091
Sysmiss 11295 NA


r30_dmaicx


Variable label: To what extent do you believe that the current system for sentencing is fair?
Literal question: Sentencing in the courts involves determining the punishment a person should receive if they are found guilty of a crime. This includes deciding what type of punishment should be given, as well as how long it should last. Currently, judges themselves make these decisions based on the maximum penalty set by the Storting and based on the punishments that have been handed down in similar cases in the past.  [r30_dmaicx_ran] Generally speaking, to what extent do you think this system is fair?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 4 | r30_rangroup_gr6 = 8)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 114 5.0% 0.05048716
2 A high degree 630 27.9% 0.27900797
3 Some degree 780 34.5% 0.34543844
4 A low degree 414 18.3% 0.18334810
5 Not at all 253 11.2% 0.11204606
97 Not answered 67 3.0% 0.02967228
98 Not asked 11251 NA


r30_lgcsix_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r30_lgcsix].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 4 | r30_rangroup_gr6 = 9)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2223] [Invalid:11286] [Range:1-2]

Value Label Cases Percentage
1 woman 1111 50.0% 0.4997751
2 man 1112 50.0% 0.5002249
Sysmiss 11286 NA


r30_lgcsix_1


Variable label: Agree/disagree: [The man/woman] has done something wrong/morally problematic.
Pre-question text: Imagine that a [r30_lgcsix_ran] accompanies a [man/woman] home from a nightclub and falls asleep in [his/hers] bed. [She/He] is awoken by [him/her] touching [her/him]. [She/He] says no, but doesn’t push [him/her] away. It ends with them having sexual intercourse. To what extent do you agree or disagree with the following statement?
Literal question: [The man/woman] has done something wrong/morally problematic.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]

[Data withheld.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_lgcsix_2


Variable label: Agree/disagree: [The man/woman]’s actions should be punished by imprisonment.
Pre-question text: Imagine that a [r30_lgcsix_ran] accompanies a [man/woman] home from a nightclub and falls asleep in [his/hers] bed. [She/He] is awoken by [him/her] touching [her/him]. [She/He] says no, but doesn’t push [him/her] away. It ends with them having sexual intercourse. To what extent do you agree or disagree with the following statement?
Literal question: [The man/woman]’s actions should be punished by imprisonment.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]

[Data withheld.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_lgcsix_3


Variable label: Agree/disagree: Regardless of what the current law is, I believe that [the man/women]’s actions should be defined as rape.
Pre-question text: Imagine that a [r30_lgcsix_ran] accompanies a [man/woman] home from a nightclub and falls asleep in [his/hers] bed. [She/He] is awoken by [him/her] touching [her/him]. [She/He] says no, but doesn’t push [him/her] away. It ends with them having sexual intercourse. To what extent do you agree or disagree with the following statement?
Literal question: Regardless of what the current law is, I believe that [the man/woman]’s actions should be defined as rape.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]

[Data withheld.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_lgcsix_4


Variable label: Agree/disagree: I believe that [the man/women]’s actions are defined as rape according to current legislation.
Pre-question text: Imagine that a [r30_lgcsix_ran] accompanies a [man/woman] home from a nightclub and falls asleep in [his/hers] bed. [She/He] is awoken by [him/her] touching [her/him]. [She/He] says no, but doesn’t push [him/her] away. It ends with them having sexual intercourse. To what extent do you agree or disagree with the following statement?
Literal question: I believe that [the man/woman]’s actions are defined as rape according to current legislation.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]

[Data withheld.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_lgcbex


Variable label: How important do you think it is to ensure clear consent (words or actions) before sex?
Literal question: How important do you think it is to ensure clear consent (words or actions) before sex?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]

[Displayed on the same page as [r30_lgcop_1] - [r30_lgcop_2]]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_lgcop_1


Variable label: What percentage of women/men in Norway do you think would answer ‘important’ or ‘very important’ to the question above: Women
Pre-question text: What percentage of women/men in the Norwegian population do you think would answer ‘important’ or ‘very important’ to the question above?
Literal question: Women:
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]

[Displayed on the same page as [r30_lgcbex] and [r30_lgcop_2].

Respondents answered by using a slider.]

[Data withheld.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_lgcop_2


Variable label: What percentage of women/men in Norway do you think would answer ‘important’ or ‘very important’ to the question above: Men
Pre-question text: What percentage of women/men in the Norwegian population do you think would answer ‘important’ or ‘very important’ to the question above?
Literal question: Men:
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]

[Displayed on the same page as [r30_lgcbex] and [r30_lgcop_1].

Respondents answered by using a slider.]

[Data withheld.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_lgcsu_1


Variable label: In which of the following situations do you believe that consent to have sex has been given by the other person: The other person nods their head.
Pre-question text: In which of the following situations do you believe that consent to have sex has been given by the other person?
Literal question: The other person nods their head.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]

[Answer list display order: Randomize]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_lgcsu_2


Variable label: In which of the following situations do you believe that consent to have sex has been given by the other person: The other person take off their clothes.
Pre-question text: In which of the following situations do you believe that consent to have sex has been given by the other person?
Literal question: The other person takes off their clothes.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]

[Answer list display order: Randomize]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_lgcsu_3


Variable label: In which of the following situations do you believe that consent to have sex has been given by the other person: The other person does nothing to stop you.
Pre-question text: In which of the following situations do you believe that consent to have sex has been given by the other person?
Literal question: The other person does nothing to stop you
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]

[Answer list display order: Randomize]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_lgcsu_4


Variable label: In which of the following situations do you believe that consent to have sex has been given by the other person: The other person kisses and touches you.
Pre-question text: In which of the following situations do you believe that consent to have sex has been given by the other person?
Literal question: The other person kisses and touches you
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]

[Answer list display order: Randomize]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_lgcsu_5


Variable label: In which of the following situations do you believe that consent to have sex has been given by the other person: The other person does not say no.
Pre-question text: In which of the following situations do you believe that consent to have sex has been given by the other person?
Literal question: The other person does not say no.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]

[Answer list display order: Randomize]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_lgcsu_6


Variable label: In which of the following situations do you believe that consent to have sex has been given by the other person: None of these.
Pre-question text: In which of the following situations do you believe that consent to have sex has been given by the other person?
Literal question: None of these
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]

[Answer list display order: Randomize]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_lgcpo


Variable label: To what extent do you think sexual consent is something political parties should have an opinion on?
Literal question: To what extent do you think sexual consent is something political parties should have an opinion on?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_lgcpp_1


Variable label: Which parties do you think are positive about the introduction of a consent law: The Labour Party
Pre-question text: Which parties do you think are positive about the introduction of a consent law?
Literal question: The Labour Party
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]

[Answer list display order: Randomize]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_lgcpp_2


Variable label: Which parties do you think are positive about the introduction of a consent law: The Conservative Party
Pre-question text: Which parties do you think are positive about the introduction of a consent law?
Literal question: The Conservative Party
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]

[Answer list display order: Randomize]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_lgcpp_3


Variable label: Which parties do you think are positive about the introduction of a consent law: The Progress Party
Pre-question text: Which parties do you think are positive about the introduction of a consent law?
Literal question: The Progress Party
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]

[Answer list display order: Randomize]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_lgcpp_4


Variable label: Which parties do you think are positive about the introduction of a consent law: The Socialist Left
Pre-question text: Which parties do you think are positive about the introduction of a consent law?
Literal question: The Socialist Left
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]

[Answer list display order: Randomize]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_lgcpp_5


Variable label: Which parties do you think are positive about the introduction of a consent law: The Social Liberal Party
Pre-question text: Which parties do you think are positive about the introduction of a consent law?
Literal question: The Progress Party
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]

[Answer list display order: Randomize]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_lgcpp_6


Variable label: Which parties do you think are positive about the introduction of a consent law: The Christian Democrats
Pre-question text: Which parties do you think are positive about the introduction of a consent law?
Literal question: The Christian Democrats
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]

[Answer list display order: Randomize]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_lgcpp_7


Variable label: Which parties do you think are positive about the introduction of a consent law: The Red Party
Pre-question text: Which parties do you think are positive about the introduction of a consent law?
Literal question: The Red Party
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]

[Answer list display order: Randomize]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_lgcpp_8


Variable label: Which parties do you think are positive about the introduction of a consent law: The Green Party
Pre-question text: Which parties do you think are positive about the introduction of a consent law?
Literal question: The Green Party
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]

[Answer list display order: Randomize]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_lgcpp_9


Variable label: Which parties do you think are positive about the introduction of a consent law: The Cemtre Party
Pre-question text: Which parties do you think are positive about the introduction of a consent law?
Literal question: The Centre Party
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]

[Answer list display order: Randomize]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_lgcpp_10


Variable label: Which parties do you think are positive about the introduction of a consent law: None of the above
Pre-question text: Which parties do you think are positive about the introduction of a consent law?
Literal question: None of the above
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]

[Answer list display order: Randomize]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_podicx_ran1


Variable label: Experiment. Randomly selects an element for textpiping in [r30_podicx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 4 | r30_rangroup_gr6 = 9)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2205] [Invalid:11304] [Range:1-2]

Value Label Cases Percentage
1 The Green Party 1095 49.7% 0.4965986
2 The Progress Party 1110 50.3% 0.5034014
Sysmiss 11304 NA


r30_podicx_pipe


Variable label: Experiment. Selects an element for textpiping in [r30_podicx] based on [r30_podicx_ran1].
Field period: 03.06.2024 - 04.07.2024
Technical description: [If [r30_podicx_ran1] = 1 the value is set to 1. If [r30_podicx_ran1] = 2 the value is set to 2.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2205] [Invalid:11304] [Range:1-2]

Value Label Cases Percentage
1 “Norwegians need to reduce their overconsumption in response to climate challenges. As a rich country, we have an additional responsibility here 1095 49.7% 0.4965986
2 “The fact that Norwegians reduce their consumption does not solve climate challenges. This will only lead to Norwegian companies going bankrupt 1110 50.3% 0.5034014
Sysmiss 11304 NA


r30_podicx_ran2


Variable label: Experiment. Randomly selects an element for textpiping in [r30_podicx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 4 | r30_rangroup_gr6 = 9)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2205] [Invalid:11304] [Range:1-3]

Value Label Cases Percentage
1 BLANK 750 34.0% 0.3401361
2 , but it might be difficult for a scumbag like you to understand! 694 31.5% 0.3147392
3 , but it may be difficult for a bitch like you to understand! 761 34.5% 0.3451247
Sysmiss 11304 NA


r30_podicx


Variable label: Common/uncommon: would you say such statements are in Norwegian political debates
Literal question:

Imagine a political debate between political parties in Norway. The debate is about what should be done regarding Norwegians’ consumption in the face of climate challenges. It is a heated debate. A representative from [r30_podicx_ran1] says the following to one of the other” debaters: [r30_podicx_pipe][r30_podicx_ran2]”

Based on the information you have about this debate, how common or uncommon would you say such statements are in Norwegian political debates?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very common 224 9.9% 0.09854817
2 Quite common 549 24.2% 0.24153102
3 Somewhat common 362 15.9% 0.15926089
4 Neither common nor unusual 163 7.2% 0.07171139
5 Somewhat unusual 269 11.8% 0.11834580
6 Quite unusual 392 17.2% 0.17245930
7 Very unusual 233 10.3% 0.10250770
97 Not answered 81 3.6% 0.03563572
98 Not asked 11236 NA


r30_podiax


Variable label: How acceptable or unacceptable do you find the statement made by the politician in the mentioned debate?
Literal question: How acceptable or unacceptable do you find the statement made by the politician in the mentioned debate?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 4 | r30_rangroup_gr6 = 9)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Completely acceptable 224 9.9% 0.09854817
2 Quite acceptable 197 8.7% 0.08666960
3 Somewhat acceptable 184 8.1% 0.08095029
4 Neither acceptable nor unacceptable 160 7.0% 0.07039155
5 Somewhat unacceptable 229 10.1% 0.10074791
6 Quite unacceptable 470 20.7% 0.20677519
7 Completely unacceptable 718 31.6% 0.31588209
97 Not answered 91 4.0% 0.04003520
98 Not asked 11236 NA


r30_posir


Variable label: Agree/disagree: There is too much government involvement and regulation in today´s society.
Literal question: To what extent do you agree or disagree with the following statement: There is too much government involvement and regulation in today’s society.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 2, 3 | r30_rangroup_gr6 = 1, 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 401 8.7% 0.08738287
2 Agree 583 12.7% 0.12704293
3 Agree somewhat 1122 24.4% 0.24449771
4 Neither agree nor disagree 875 19.1% 0.19067335
5 Disagree somewhat 630 13.7% 0.13728481
6 Disagree 733 16.0% 0.15972979
7 Strongly disagree 133 2.9% 0.02898235
97 Not answered 112 2.4% 0.02440619
98 Not asked 8920 NA


r30_cemel


Variable label: Agree/disagree: the electrification of Melkøya
Literal question:

The government has recently decided to electrify the gas plant at Melkøya in Finnmark. This will have the advantage that Norwegian CO2 emissions are reduced by two percent, but the disadvantage is that it will involve the construction of new wind turbines and power lines in nature.

To what extent do you agree or disagree with the decision to electrify the plant?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 3 | r30_rangroup_gr6 = 5) & (r30_group = 2, 3 | r30_rangroup_gr6 = 1, 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 58 2.5% 0.02540517
2 Agree 261 11.4% 0.11432326
3 Agree somewhat 363 15.9% 0.15900131
4 Neither agree nor disagree 288 12.6% 0.12614980
5 Disagree somewhat 366 16.0% 0.16031537
6 Disagree 423 18.5% 0.18528252
7 Strongly disagree 468 20.5% 0.20499343
97 Not answered 56 2.5% 0.02452913
98 Not asked 11226 NA


r30_cewcn_1


Variable label: Please consider the questions below: How worried are you about climate change?
Pre-question text: Please consider the questions below:
Literal question: How worried are you about climate change?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 2, 3 | r30_rangroup_gr6 = 1, 5)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all worried 206 4.5% 0.04488995
2 Not very worried 615 13.4% 0.13401613
3 Somewhat worried 1303 28.4% 0.28393986
4 Worried 1435 31.3% 0.31270429
5 Very worried 909 19.8% 0.19808237
97 Not answered 121 2.6% 0.02636740
98 Not asked 8920 NA


r30_cewcn_2


Variable label: Please consider the questions below: How worried are you about the degradation of nature?
Pre-question text: Please consider the questions below:
Literal question: How worried are you about the degradation of nature?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 2, 3 | r30_rangroup_gr6 = 1, 5)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all worried 82 1.8% 0.01786882
2 Not very worried 490 10.7% 0.10677708
3 Somewhat worried 1114 24.3% 0.24275441
4 Worried 1519 33.1% 0.33100893
5 Very worried 1254 27.3% 0.27326215
97 Not answered 130 2.8% 0.02832861
98 Not asked 8920 NA


r30_cehab_1


Variable label: We would like to ask some questions about you: Do you or your family own a cabin?
Pre-question text: We would now like to ask some questions about you.
Literal question: Do you or your family own a cabin?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 2, 3 | r30_rangroup_gr6 = 1, 5)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 2300 50.1% 0.5011985
2 No 2160 47.1% 0.4706908
97 Not answered 129 2.8% 0.0281107
98 Not asked 8920 NA


r30_cehab_2


Variable label: We would like to ask some questions about you: Do you usually eat red meat for dinner more than three times a week?
Pre-question text: We would now like to ask some questions about you.
Literal question: Do you usually eat red meat (beef, pork, mutton/lamb and goat) for dinner more than three times a week?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 2, 3 | r30_rangroup_gr6 = 1, 5)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 1443 31.4% 0.31444759
2 No 3022 65.9% 0.65853127
97 Not answered 124 2.7% 0.02702114
98 Not asked 8920 NA


r30_cehab_3


Variable label: We would like to ask some questions about you: Are you dependent on a car in your daily life?
Pre-question text: We would now like to ask some questions about you.
Literal question: Are you dependent on a car in your daily life?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 2, 3 | r30_rangroup_gr6 = 1, 5)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 2411 52.5% 0.52538679
2 No 2048 44.6% 0.44628459
97 Not answered 130 2.8% 0.02832861
98 Not asked 8920 NA


r30_cehab_4


Variable label: We would like to ask some questions about you: Apart from business travel, do you usually fly more than twice a year?
Pre-question text: We would now like to ask some questions about you.
Literal question: Apart from business travel, do you usually fly more than twice a year?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 2, 3 | r30_rangroup_gr6 = 1, 5)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 1473 32.1% 0.32098496
2 No 2994 65.2% 0.65242972
97 Not answered 122 2.7% 0.02658531
98 Not asked 8920 NA


r30_enprox_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r30_enprox].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 5 | r30_rangroup_gr6 = 10)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2319] [Invalid:11190] [Range:1-2]

Value Label Cases Percentage
1 Nuclear power 1178 50.8% 0.5079776
2 Atomic power 1141 49.2% 0.4920224
Sysmiss 11190 NA


r30_enprox_1


Variable label: For/against the following way of producing energy in Norway: [r30_enprox_ran].
Pre-question text: To what extent are you for or against the following ways of producing electricity in Norway: 
Literal question: [r30_enprox_ran]
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 5 | r30_rangroup_gr6 = 10)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 Strongly for 409 17.6% 0.17614126
2 For 466 20.1% 0.20068906
3 Somewhat for 412 17.7% 0.17743325
4 Neither for nor against 253 10.9% 0.10895780
5 Somewhat against 200 8.6% 0.08613264
6 Against 201 8.7% 0.08656331
7 Strongly against 274 11.8% 0.11800172
8 No opinion 66 2.8% 0.02842377
97 Not answered 41 1.8% 0.01765719
98 Not asked 11187 NA


r30_enprox_2


Variable label: For/against the following way of producing energy in Norway: Hydropower.
Pre-question text: To what extent are you for or against the following ways of producing electricity in Norway: 
Literal question: Hydropower
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 5 | r30_rangroup_gr6 = 10)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 Strongly for 1200 51.7% 0.516795866
2 For 746 32.1% 0.321274763
3 Somewhat for 225 9.7% 0.096899225
4 Neither for nor against 45 1.9% 0.019379845
5 Somewhat against 35 1.5% 0.015073213
6 Against 17 0.7% 0.007321275
7 Strongly against 15 0.6% 0.006459948
8 No opinion 11 0.5% 0.004737295
97 Not answered 28 1.2% 0.012058570
98 Not asked 11187 NA


r30_enprox_3


Variable label: For/against the following way of producing energy in Norway: Land-based wind power.
Pre-question text: To what extent are you for or against the following ways of producing electricity in Norway: 
Literal question: Land-based wind power
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 5 | r30_rangroup_gr6 = 10)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 Strongly for 168 7.2% 0.072351421
2 For 426 18.3% 0.183462532
3 Somewhat for 484 20.8% 0.208440999
4 Neither for nor against 149 6.4% 0.064168820
5 Somewhat against 333 14.3% 0.143410853
6 Against 288 12.4% 0.124031008
7 Strongly against 421 18.1% 0.181309216
8 No opinion 14 0.6% 0.006029285
97 Not answered 39 1.7% 0.016795866
98 Not asked 11187 NA


r30_enprox_4


Variable label: For/against the following way of producing energy in Norway: Sea-based wind power.
Pre-question text: To what extent are you for or against the following ways of producing electricity in Norway: 
Literal question: Sea-based wind power
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 5 | r30_rangroup_gr6 = 10)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 Strongly for 387 16.7% 0.166666667
2 For 716 30.8% 0.308354866
3 Somewhat for 479 20.6% 0.206287683
4 Neither for nor against 169 7.3% 0.072782084
5 Somewhat against 155 6.7% 0.066752799
6 Against 166 7.1% 0.071490095
7 Strongly against 195 8.4% 0.083979328
8 No opinion 23 1.0% 0.009905254
97 Not answered 32 1.4% 0.013781223
98 Not asked 11187 NA


r30_enprox_5


Variable label: For/against the following way of producing energy in Norway: Gas power.
Pre-question text: To what extent are you for or against the following ways of producing electricity in Norway: 
Literal question: Gas power
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 5 | r30_rangroup_gr6 = 10)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 Strongly for 100 4.3% 0.04306632
2 For 387 16.7% 0.16666667
3 Somewhat for 464 20.0% 0.19982773
4 Neither for nor against 447 19.3% 0.19250646
5 Somewhat against 328 14.1% 0.14125754
6 Against 284 12.2% 0.12230835
7 Strongly against 145 6.2% 0.06244617
8 No opinion 102 4.4% 0.04392765
97 Not answered 65 2.8% 0.02799311
98 Not asked 11187 NA


r30_enproxo


Variable label: We would like to know more on what you think about [r30_enprox_ran].
Literal question: You answered that you are [r30_enprox’)[1]^ of producing electricity using [r30_enprox_ran]. We would like to hear more about what you think about [r30_enprox_ran]. 
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_enprox_1 = 1, 2, 3, 4, 5, 6, 7) & (r30_group = 5 | r30_rangroup_gr6 = 10)]
Technical attributes: [Question type:Open] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_enele


Variable label: For/against: using land based electricity to reduce greenhouse gas emissions from platforms in the North Sea
Literal question: Oil companies use electricity from the mainland to reduce greenhouse gas emissions from platforms in the North Sea (also known as ‘electrification of the continental shelf’). Are you for or against using electricity from the mainland for this?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 5 | r30_rangroup_gr6 = 10)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 Strongly for 50 2.2% 0.021533161
2 For 299 12.9% 0.128768303
3 Somewhat for 318 13.7% 0.136950904
4 Neither for nor against 313 13.5% 0.134797588
5 Somewhat against 300 12.9% 0.129198966
6 Against 384 16.5% 0.165374677
7 Strongly against 468 20.2% 0.201550388
8 No opinion 183 7.9% 0.078811370
97 Not answered 7 0.3% 0.003014643
98 Not asked 11187 NA


r30_ceerwx_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r30_ceerwx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 5 | r30_rangroup_gr6 = 10)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2316] [Invalid:11193] [Range:1-7]

Value Label Cases Percentage
1 BLANK 348 15.0% 0.1502591
2 Households with good financial resources typically have higher consumption and greater emissions. A recently published report showed that the wealthiest 10% of households in Norway (with a total income after tax exceeding NOK 1.1 million) emit more than twice as much as the average for the population as a whole. 304 13.1% 0.1312608
3 A recently published report showed that the average climate footprint of Norwegians is 1.3 times higher than the EU average. 311 13.4% 0.1342832
4 A recently published report showed that the average climate footprint of Norwegians is over five times higher than in India, and over seven times higher than in sub-Saharan Africa. 349 15.1% 0.1506908
5 A recently published report showed that the wealthiest 10% of people in the world (with an annual income of over NOK 400,000) are responsible for half of the world’s emissions, while the poorest 50% are responsible for about 7% of the emissions. 342 14.8% 0.1476684
6 A recently published report showed that the wealthiest 1% of people in the world (with an annual income of over NOK 1.2 million) are responsible for 15% of the world’s emissions, while the poorest 50% are responsible for about 7% of the emissions. 348 15.0% 0.1502591
7 A recently published report showed that billionaires, through their investments, are responsible for a million times more greenhouse gas emissions than the average person. 314 13.6% 0.1355786
Sysmiss 11193 NA


r30_ceerwx


Variable label: To what extent are you willing to change your habits in order to reduce greenhouse gas emissions?
Literal question: In order to reduce greenhouse gas emissions, many people need to change their habits. [r30_ceerwx_ran] To what extent are you willing to change your habits in order to reduce greenhouse gas emissions?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 5 | r30_rangroup_gr6 = 10)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 228 9.8% 0.098191214
2 A high degree 807 34.8% 0.347545220
3 Some degree 1017 43.8% 0.437984496
4 A low degree 187 8.1% 0.080534022
5 Not at all 73 3.1% 0.031438415
97 Not answered 10 0.4% 0.004306632
98 Not asked 11187 NA


r30_ceerf


Variable label: To what extent do you think it is fair if people like you are required to change their habits in order to reduce greenhouse gas emissions?
Literal question: In order to reduce greenhouse gas emissions, many people need to change their habits. [r30_ceerwx_ran] To what extent do you think it is fair if people like you are required to change their habits in order to reduce greenhouse gas emissions?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 5 | r30_rangroup_gr6 = 10)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 369 15.9% 0.15891473
2 A high degree 816 35.1% 0.35142119
3 Some degree 761 32.8% 0.32773471
4 A low degree 245 10.6% 0.10551249
5 Not at all 101 4.3% 0.04349699
97 Not answered 30 1.3% 0.01291990
98 Not asked 11187 NA


r30_ceerl


Variable label: To what extent do you think it is fair if those responsible for the largest emissions are required to change their habits in order to reduce greenhouse gas emissions?
Literal question: In order to reduce greenhouse gas emissions, many people need to change their habits. [r30_ceerwx_ran] To what extent do you think it is fair if those responsible for the largest emissions are required to change their habits in order to reduce greenhouse gas emissions?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 5 | r30_rangroup_gr6 = 10)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 956 41.2% 0.41171404
2 A high degree 935 40.3% 0.40267011
3 Some degree 304 13.1% 0.13092162
4 A low degree 51 2.2% 0.02196382
5 Not at all 34 1.5% 0.01464255
97 Not answered 42 1.8% 0.01808786
98 Not asked 11187 NA


r30_ceerr


Variable label: To what extent do you feel a personal responsibility to reduce greenhouse gas emissions?
Literal question: In order to reduce greenhouse gas emissions, many people need to change their habits. [r30_ceerwx_ran] To what extent do you feel a personal responsibility to reduce greenhouse gas emissions?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 5 | r30_rangroup_gr6 = 10)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 204 8.8% 0.08785530
2 A high degree 688 29.6% 0.29629630
3 Some degree 983 42.3% 0.42334195
4 A low degree 318 13.7% 0.13695090
5 Not at all 103 4.4% 0.04435831
97 Not answered 26 1.1% 0.01119724
98 Not asked 11187 NA


r30_wopscx_age1


Variable label: Experiment. Randomly selects age for Person A in [r30_wopscx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 5 | r30_rangroup_gr6 = 11)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2314] [Invalid:11195] [Range:1-2]

Value Label Cases Percentage
1 30 1179 51.0% 0.5095073
2 57 1135 49.0% 0.4904927
Sysmiss 11195 NA


r30_wopscx_age2


Variable label: Experiment. Randomly selects age for Person B in [r30_wopscx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 5 | r30_rangroup_gr6 = 11)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2314] [Invalid:11195] [Range:1-2]

Value Label Cases Percentage
1 30 1170 50.6% 0.505618
2 57 1144 49.4% 0.494382
Sysmiss 11195 NA


r30_wopscx_wor1


Variable label: Experiment. Randomly selects profession for Person A in [r30_wopscx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 5 | r30_rangroup_gr6 = 11)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2314] [Invalid:11195] [Range:1-16]

Value Label Cases Percentage
1 Cleaner 143 6.2% 0.06179775
2 Courier 150 6.5% 0.06482282
3 Warehouse worker 145 6.3% 0.06266206
4 Kitchen assistant 128 5.5% 0.05531547
5 Lawyer 145 6.3% 0.06266206
6 Doctor 152 6.6% 0.06568712
7 Architect 152 6.6% 0.06568712
8 Auditor 159 6.9% 0.06871219
9 Engineer 154 6.7% 0.06655143
10 Estate agent 131 5.7% 0.05661193
11 Radiographer 152 6.6% 0.06568712
12 Police officer 136 5.9% 0.05877269
13 Nursing assistant 134 5.8% 0.05790838
14 Hairdresser 146 6.3% 0.06309421
15 Carpenter 131 5.7% 0.05661193
16 Chef 156 6.7% 0.06741573
Sysmiss 11195 NA


r30_wopscx_wor2


Variable label: Experiment. Randomly selects profession for Person B in [r30_wopscx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 5 | r30_rangroup_gr6 = 11)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2314] [Invalid:11195] [Range:1-16]

Value Label Cases Percentage
1 Cleaner 156 6.7% 0.06741573
2 Courier 152 6.6% 0.06568712
3 Warehouse worker 137 5.9% 0.05920484
4 Kitchen assistant 123 5.3% 0.05315471
5 Lawyer 152 6.6% 0.06568712
6 Doctor 152 6.6% 0.06568712
7 Architect 125 5.4% 0.05401901
8 Auditor 144 6.2% 0.06222990
9 Engineer 140 6.1% 0.06050130
10 Estate agent 155 6.7% 0.06698358
11 Radiographer 149 6.4% 0.06439067
12 Police officer 124 5.4% 0.05358686
13 Nursing assistant 159 6.9% 0.06871219
14 Hairdresser 142 6.1% 0.06136560
15 Carpenter 160 6.9% 0.06914434
16 Chef 144 6.2% 0.06222990
Sysmiss 11195 NA


r30_wopscx_gen1


Variable label: Experiment. Randomly selects gender for Person A in [r30_wopscx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 5 | r30_rangroup_gr6 = 11)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2314] [Invalid:11195] [Range:1-2]

Value Label Cases Percentage
1 Man 1180 51.0% 0.5099395
2 Woman 1134 49.0% 0.4900605
Sysmiss 11195 NA


r30_wopscx_gen2


Variable label: Experiment. Randomly selects gender for Person B in [r30_wopscx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 5 | r30_rangroup_gr6 = 11)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2314] [Invalid:11195] [Range:1-2]

Value Label Cases Percentage
1 Man 1157 50.0% 0.5
2 Woman 1157 50.0% 0.5
Sysmiss 11195 NA


r30_wopscx_diag1


Variable label: Experiment. Randomly selects diagnose for Person A in [r30_wopscx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 5 | r30_rangroup_gr6 = 11)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2314] [Invalid:11195] [Range:1-8]

Value Label Cases Percentage
1 Lower back pain 283 12.2% 0.1222990
2 Pain in the shoulders and neck 283 12.2% 0.1222990
3 Pain in lower leg and thigh muscles 294 12.7% 0.1270527
4 Pain in elbows and wrists 288 12.4% 0.1244598
5 Anxiety 299 12.9% 0.1292135
6 Depression 282 12.2% 0.1218669
7 Burnout 288 12.4% 0.1244598
8 Sleep problems 297 12.8% 0.1283492
Sysmiss 11195 NA


r30_wopscx_diag2


Variable label: Experiment. Randomly selects diagnose for Person B in [r30_wopscx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 5 | r30_rangroup_gr6 = 11)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2314] [Invalid:11195] [Range:1-8]

Value Label Cases Percentage
1 Lower back pain 257 11.1% 0.1110631
2 Pain in the shoulders and neck 303 13.1% 0.1309421
3 Pain in lower leg and thigh muscles 316 13.7% 0.1365601
4 Pain in elbows and wrists 279 12.1% 0.1205704
5 Anxiety 272 11.8% 0.1175454
6 Depression 278 12.0% 0.1201383
7 Burnout 302 13.1% 0.1305099
8 Sleep problems 307 13.3% 0.1326707
Sysmiss 11195 NA


r30_wopscx_rerandomize


Variable label: Experiment. Technical details on re-randomisation of [r30_wopscx]-variables if it was necessary.
Field period: 03.06.2024 - 04.07.2024
Technical description: [If there was a necessity to re-randomise information for one of the candidates in [r30_wopscx], the information is stored here.]
Technical attributes: [Question type:Open] [Format:character] [Valid:2314] [Invalid:11195] [Range:-]



r30_wopscx_roworder


Variable label: Experiment. The random order of attributes shown in the table in [r30_wopscx]. Sets the subject’s rowwise placement, sorted by subject.
Field period: 03.06.2024 - 04.07.2024
Technical description: [If the first number is 2, it means that subject 1 (“Age”) was displayed in row number 2. If the second number is 4, it means that subject 1 (“Profession”) was displayed in row number 4, etc.. For the sequential order, sorted by rownumber, see [r30_wopscx_roworder_seq]. 1 = Age. 2 = Profession. 3 = Gender. 4 = Diagnose.]
Technical attributes: [Question type:Open] [Format:character] [Valid:2314] [Invalid:11195] [Range:-]



r30_wopscx_roworder_seq


Variable label: Experiment. The random order of attributes shown in the table in [r30_wopscx]. Set sequentially, sorted by rownumber.
Field period: 03.06.2024 - 04.07.2024
Technical description: [The first number in the array shows what category was displayed in the first row, while the next number shows what category was shown in the second row etc.. 1 = Age. 2 = Profession. 3 = Gender. 4 = Diagnose.]
Technical attributes: [Question type:Open] [Format:character] [Valid:2314] [Invalid:11195] [Range:-]



r30_wopscx


Variable label: For which person do you think it is most reasonable to take a period of self-certified absence due to illness?
Literal question:

Norway has one of the highest rates of absence due to illness in the world, without any reason to believe that it is due to poorer health among the population. As an employee in Norway, you can report short periods of absence due to illness without having to present a medical certificate to your employer. This is called self-certification, and most employers have a limit on how long and how many times an employee can use self-certification during the course of a year. Employees receive full salary during their period of self-certified absence due to illness.

We are interested in knowing in which situations citizens believe it is reasonable to take period of self-certified absence due to illness. Please read carefully the descriptions of two imaginary people. Both are in full-time employment, have not been absent due to illness in the past two months, and will not see a doctor in relation to their health problem at this time.

Person A [r30_wopscx_age1] [r30_wopscx_wor1] [r30_wopscx_gen1] [r30_wopscx_diag1]

Person B [r30_wopscx_age2] [r30_wopscx_wor2] [r30_wopscx_gen2] [r30_wopscx_diag2]

Based on this information, for which person do you believe it is most reasonable to take a period of self-certified absence due to illness?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 5 | r30_rangroup_gr6 = 11)]

[Displayed on the same page as [r30_woparx], and [r30_wopbrx].

Respondents was shown information about the persons in a table. Variables listed in pre-question text was shown in random order which is stored in [r30_poptix_roworder] and [r30_poptix_roworder_seq].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Person A 1065 45.9% 0.45944780
2 Person B 1140 49.2% 0.49180328
97 Not answered 113 4.9% 0.04874892
98 Not asked 11191 NA


r30_woparx


Variable label: If you assess Person A on their own, how reasonable do you think it is for them to take a period of self-certified absence due to illness?
Literal question: If you assess Person A on their own, how reasonable do you think it is for them to take a period of self-certified absence due to illness?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 5 | r30_rangroup_gr6 = 11)]

[Displayed on the same page as [r30_wopscx], and [r30_wopbrx]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very reasonable 264 11.4% 0.11389129
2 Reasonable 671 28.9% 0.28947368
3 Somewhat reasonable 699 30.2% 0.30155306
4 Not very reasonable 491 21.2% 0.21182053
5 Not reasonable at all 124 5.3% 0.05349439
97 Not answered 69 3.0% 0.02976704
98 Not asked 11191 NA


r30_wopbrx


Variable label: And if you assess Person B on their own, how reasonable do you think it is for them to take a period of self-certified absence due to illness?
Literal question: And if you assess Person B on their own, how reasonable do you think it is for them to take a period of self-certified absence due to illness?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 5 | r30_rangroup_gr6 = 11)]

[Displayed on the same page as [r30_woparx], and [r30_woparxc]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very reasonable 310 13.4% 0.13373598
2 Reasonable 762 32.9% 0.32873167
3 Somewhat reasonable 644 27.8% 0.27782571
4 Not very reasonable 410 17.7% 0.17687662
5 Not reasonable at all 114 4.9% 0.04918033
97 Not answered 78 3.4% 0.03364970
98 Not asked 11191 NA


r30_wopacx_1


Variable label: To what extent your consideration in [r30_woparx] is based on the following consideration: how well Person A can perform the work tasks
Pre-question text:

Person A [r30_wopscx_age1] [r30_wopscx_wor1] [r30_wopscx_gen1] [r30_wopscx_diag1]

Person B [r30_wopscx_age2] [r30_wopscx_wor2] [r30_wopscx_gen2] [r30_wopscx_diag2]

Here is the table again. Here are some more questions about the two people. You assessed that it was [r30_woparx] for Person A to take a period of self-certified absence due to illness. If you think about your answer, could you express to what extent your assessment is based on the following considerations:

Consideration of…
Literal question: how well Person A can perform the work tasks
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_wopscx is answered & r30_woparx is answered) & (r30_group = 5 | r30_rangroup_gr6 = 11) & (r30_wopscx is answered)]

[Displayed on the same page as [r30_wopacx_2] - [r30_wopacx_3], [r30_wopacxo], [r30_wopbcx_1] - [r30_wopbcx_3], and [r30_wopbcxo]]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 281 12.1% 0.12122519
2 A high degree 851 36.7% 0.36712683
3 Some degree 689 29.7% 0.29723900
4 A low degree 225 9.7% 0.09706644
5 Not at all 64 2.8% 0.02761001
97 Not answered 208 9.0% 0.08973253
98 Not asked 11191 NA


r30_wopacx_2


Variable label: To what extent your consideration in [r30_woparx] is based on the following consideration: the strain on Person A’s colleagues
Pre-question text:

Person A [r30_wopscx_age1] [r30_wopscx_wor1] [r30_wopscx_gen1] [r30_wopscx_diag1]

Person B [r30_wopscx_age2] [r30_wopscx_wor2] [r30_wopscx_gen2] [r30_wopscx_diag2]

Here is the table again. Here are some more questions about the two people. You assessed that it was [r30_woparx] for Person A to take a period of self-certified absence due to illness. If you think about your answer, could you express to what extent your assessment is based on the following considerations:

Consideration of…
Literal question: the strain on Person A’s colleagues
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_wopscx is answered & r30_woparx is answered) & (r30_group = 5 | r30_rangroup_gr6 = 11) & (r30_wopscx is answered)]

[Displayed on the same page as [r30_wopacx_1] - [r30_wopacx_3], [r30_wopacxo], [r30_wopbcx_1] - [r30_wopbcx_3], and [r30_wopbcxo]]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 98 4.2% 0.04227783
2 A high degree 348 15.0% 0.15012942
3 Some degree 779 33.6% 0.33606557
4 A low degree 603 26.0% 0.26013805
5 Not at all 265 11.4% 0.11432269
97 Not answered 225 9.7% 0.09706644
98 Not asked 11191 NA


r30_wopacx_3


Variable label: To what extent your consideration in [r30_woparx] is based on the following consideration: Person A’s health
Pre-question text:

Person A [r30_wopscx_age1] [r30_wopscx_wor1] [r30_wopscx_gen1] [r30_wopscx_diag1]

Person B [r30_wopscx_age2] [r30_wopscx_wor2] [r30_wopscx_gen2] [r30_wopscx_diag2]

Here is the table again. Here are some more questions about the two people. You assessed that it was [r30_woparx] for Person A to take a period of self-certified absence due to illness. If you think about your answer, could you express to what extent your assessment is based on the following considerations:

Consideration of…
Literal question: Person A’s health
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_wopscx is answered & r30_woparx is answered) & (r30_group = 5 | r30_rangroup_gr6 = 11) & (r30_wopscx is answered)]

[Displayed on the same page as [r30_wopacx_1] - [r30_wopacx_2], [r30_wopacxo], [r30_wopbcx_1] - [r30_wopbcx_3], and [r30_wopbcxo]]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 420 18.1% 0.18119068
2 A high degree 859 37.1% 0.37057808
3 Some degree 655 28.3% 0.28257118
4 A low degree 149 6.4% 0.06427955
5 Not at all 30 1.3% 0.01294219
97 Not answered 205 8.8% 0.08843831
98 Not asked 11191 NA


r30_wopacxo


Variable label: Were there other considerations you took when you assessed that person A was [r30_wopbrx] to take a self-certified absence due to illness?
Literal question: Were there other considerations you took into account when you assessed that it was [r30_woparx] for Person A to take a period of self-certified absence due to illness? If so, what were they?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_wopscx is answered & r30_woparx is answered) & (r30_group = 5 | r30_rangroup_gr6 = 11) & (r30_wopscx is answered)]

[Displayed on the same page as [r30_wopacx_1] - [r30_wopacx_3], [r30_wopbcx_1] - [r30_wopbcx_3], and [r30_wopbcxo]]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_wopbcx_1


Variable label: To what extent your consideration in [r30_woparx] is based on the following consideration: how well Person B can perform the work tasks
Pre-question text: You assessed that it was [r30_wopbrx] for Person B to take a period of self-certified absence due to illness. If you think about your answer, could you express to what extent your assessment is based on the following considerations: Consideration of…
Literal question: how well Person B can perform the work tasks
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_wopscx is answered & r30_wopbrx is answered) & (r30_group = 5 | r30_rangroup_gr6 = 11) & (r30_wopscx is answered)]

[Displayed on the same page as [r30_wopacx_1] - [r30_wopacx_3], [r30_wopacxo], [r30_wopbcx_2] - [r30_wopbcx_3], and [r30_wopbcxo]]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 334 14.4% 0.14408973
2 A high degree 796 34.3% 0.34339948
3 Some degree 631 27.2% 0.27221743
4 A low degree 254 11.0% 0.10957722
5 Not at all 66 2.8% 0.02847282
97 Not answered 237 10.2% 0.10224331
98 Not asked 11191 NA


r30_wopbcx_2


Variable label: To what extent your consideration in [r30_woparx] is based on the following consideration: the strain on Person B’s colleagues
Pre-question text: You assessed that it was [r30_wopbrx] for Person B to take a period of self-certified absence due to illness. If you think about your answer, could you express to what extent your assessment is based on the following considerations: Consideration of…
Literal question: the strain on Person B’s colleagues
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_wopscx is answered & r30_wopbrx is answered) & (r30_group = 5 | r30_rangroup_gr6 = 11) & (r30_wopscx is answered)]

[Displayed on the same page as [r30_wopacx_1] - [r30_wopacx_3], [r30_wopacxo], [r30_wopbcx_1] - [r30_wopbcx_3], and [r30_wopbcxo]]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 111 4.8% 0.04788611
2 A high degree 412 17.8% 0.17773943
3 Some degree 728 31.4% 0.31406385
4 A low degree 561 24.2% 0.24201898
5 Not at all 247 10.7% 0.10655738
97 Not answered 259 11.2% 0.11173425
98 Not asked 11191 NA


r30_wopbcx_3


Variable label: To what extent your consideration in [r30_woparx] is based on the following consideration: Person B’s health
Pre-question text: You assessed that it was [r30_wopbrx] for Person B to take a period of self-certified absence due to illness. If you think about your answer, could you express to what extent your assessment is based on the following considerations: Consideration of…
Literal question: Person B’s health
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_wopscx is answered & r30_wopbrx is answered) & (r30_group = 5 | r30_rangroup_gr6 = 11) & (r30_wopscx is answered)]

[Displayed on the same page as [r30_wopacx_1] - [r30_wopacx_3], [r30_wopacxo], [r30_wopbcx_1] - [r30_wopbcx_2], and [r30_wopbcxo]]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 441 19.0% 0.19025022
2 A high degree 866 37.4% 0.37359793
3 Some degree 606 26.1% 0.26143227
4 A low degree 141 6.1% 0.06082830
5 Not at all 36 1.6% 0.01553063
97 Not answered 228 9.8% 0.09836066
98 Not asked 11191 NA


r30_wopbcxo


Variable label: Were there other considerations you took when you assessed that person B was [r30_wopbrx] to take a self-certified absence due to illness?
Literal question: Were there other considerations you took into account when you assessed that it was [r30_wopbrx] for Person B to take a period of self-certified absence due to illness? If so, what were they?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_wopscx is answered & r30_wopbrx is answered) & (r30_group = 5 | r30_rangroup_gr6 = 11) & (r30_wopscx is answered)]

[Displayed on the same page as [r30_wopacx_1] - [r30_wopacx_3], [r30_wopacxo], and [r30_wopbcx_1] - [r30_wopbcx_2]]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_cepa_ranorder


Variable label: Experiement. Shows which question the respondent was exposed to first of [r30_cepab] and [r30_cepas].
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Randomized if (r30_group = 5 | r30_rangroup_gr6 = 12)]

[Answer list display order: Randomized]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2306] [Invalid:11203] [Range:1-2]

Value Label Cases Percentage
1 r30_cepab first 1150 49.9% 0.498699
2 r30_cepas first 1156 50.1% 0.501301
Sysmiss 11203 NA


r30_cepa_gender_pipe


Variable label: Experiment. Selects textpiping in [r30_cepab] which corresponds to the respondents gender.
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2306] [Invalid:11203] [Range:1-2]

Value Label Cases Percentage
1 He 1177 51.0% 0.5104076
2 She 1129 49.0% 0.4895924
Sysmiss 11203 NA


r30_cepab_name_pipe


Variable label: Experiment. Selects textpiping (name) for [r30_cepab].
Field period: 03.06.2024 - 04.07.2024
Technical description: [If [r30_cepa_gender_pipe] = 1, the value is set to 1, else it is set to 3.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2306] [Invalid:11203] [Range:1-3]

Value Label Cases Percentage
1 Henrik 1177 51.0% 0.5104076
2 Ole 0 0.0% 0.0000000
3 Frida 1129 49.0% 0.4895924
4 Marie 0 0.0% 0.0000000
Sysmiss 11203 NA


r30_cepab_intro_pipe


Variable label: Experiment. Selects textpiping (introductory text] for [r30_cepab].
Field period: 03.06.2024 - 04.07.2024
Technical description: [If [r30_cepab_ranorder] = 1 the value is set to 1, else it is set to 2.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2306] [Invalid:11203] [Range:1-2]

Value Label Cases Percentage
1 Imagine the following person: [r30_cepab_name_pipe] sees themselves as an ordinary person. [r30_cepa_gender_pipe] likes their job, has good friends and likes spending time with their family. [r30_cepa_gender_pipe] believes that the climate is changing and that much more needs to be done to limit it. 1150 49.9% 0.498699
2 We now ask you to imagine a person called [r30_cepab_name_pipe]. Like [r30_cepas_name_pipe], [r30_cepa_gender_pipe] sees themselves as a ordinary person. [r30_cepa_gender_pipe] likes their job, has good friends and likes spending time with their family. Unlike [r30_cepas_name_pipe], [r30_cepab_name_pipe] believes the climate is changing and that much more needs to be done to avoid it. 1156 50.1% 0.501301
Sysmiss 11203 NA


r30_cepas_name_pipe


Variable label: Experiment. Selects textpiping (name) for [r30_cepas].
Field period: 03.06.2024 - 04.07.2024
Technical description: [If [r30_cepa_gender_pipe] = 1, the value is set to 2, else it is set to 4.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2306] [Invalid:11203] [Range:2-4]

Value Label Cases Percentage
1 Henrik 0 0.0% 0.0000000
2 Ole 1177 51.0% 0.5104076
3 Frida 0 0.0% 0.0000000
4 Marie 1129 49.0% 0.4895924
Sysmiss 11203 NA


r30_cepas_intro_pipe


Variable label: Experiment. Selects textpiping (introductory text) for [r30_cepas].
Field period: 03.06.2024 - 04.07.2024
Technical description: [If [r30_cepab_ranorder] = 1, the value is set to 2, else it is set to 1.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2306] [Invalid:11203] [Range:1-2]

Value Label Cases Percentage
1 Imagine the following person: [r30_cepas_name_pipe] sees themselves as an ordinary person. [r30_cepa_gender_pipe] likes their job, has good friends and likes spending time with their family. [r30_cepa_gender_pipe] is sceptical that climate change is caused by humans and believes that too much is being done to limit it. 1156 50.1% 0.501301
2 We now ask you to imagine a person called [r30_cepas_name_pipe]. Like [r30_cepab_name_pipe], [r30_cepa_gender_pipe] sees themselves as an ordinary person. [r30_cepa_gender_pipe] likes their job, has good friends and likes spending time with their family. Unlike [r30_cepab_name_pipe], is [r30_cepas_name_pipe] sceptical that climate change is caused by humans and believes that too much is being done to limit it. 1150 49.9% 0.498699
Sysmiss 11203 NA


r30_cepab_1


Variable label: How likely do you think that [r30_cepab_name_pipe] will make the following statement: Discrimination against women is no longer a problem in Norway.
Pre-question text: [r30_cepab_intro_pipe] How likely do you think it is that [r30_cepab_name_pipe] makes the following statement?
Literal question: Discrimination against women is no longer a problem in Norway.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 5 | r30_rangroup_gr6 = 12)]

[Display order of questions in grid: Randomized]

[Displayed in random order with [r30_cepas]. Order is set in [r30_cepa_ranorder].]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1 - Very unlikely 347 14.9% 0.14879931
2 2 594 25.5% 0.25471698
3 3 477 20.5% 0.20454545
4 4 427 18.3% 0.18310463
5 5 227 9.7% 0.09734134
6 6 114 4.9% 0.04888508
7 7 - Very likely 58 2.5% 0.02487136
97 Not answered 88 3.8% 0.03773585
98 Not asked 11177 NA


r30_cepab_2


Variable label: How likely do you think that [r30_cepab_name_pipe] will make the following statement: Whether a person is male or female depends on whether they feel like a man or a woman.
Pre-question text: [r30_cepab_intro_pipe] How likely do you think it is that [r30_cepab_name_pipe] makes the following statement?
Literal question: Whether a person is male or female depends on whether they feel like a man or a woman.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 5 | r30_rangroup_gr6 = 12)]

[Display order of questions in grid: Randomized]

[Displayed in random order with [r30_cepas]. Order is set in [r30_cepa_ranorder].]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1 - Very unlikely 164 7.0% 0.07032590
2 2 164 7.0% 0.07032590
3 3 263 11.3% 0.11277873
4 4 580 24.9% 0.24871355
5 5 513 22.0% 0.21998285
6 6 366 15.7% 0.15694683
7 7 - Very likely 188 8.1% 0.08061750
97 Not answered 94 4.0% 0.04030875
98 Not asked 11177 NA


r30_cepab_3


Variable label: How likely do you think that [r30_cepab_name_pipe] will make the following statement: It is an advantage for Norway that immigrants come to live here.
Pre-question text: [r30_cepab_intro_pipe] How likely do you think it is that [r30_cepab_name_pipe] makes the following statement?
Literal question: It is an advantage for Norway that immigrants come to live here.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 5 | r30_rangroup_gr6 = 12)]

[Display order of questions in grid: Randomized]

[Displayed in random order with [r30_cepas]. Order is set in [r30_cepa_ranorder].]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1 - Very unlikely 84 3.6% 0.03602058
2 2 151 6.5% 0.06475129
3 3 244 10.5% 0.10463122
4 4 617 26.5% 0.26457976
5 5 656 28.1% 0.28130360
6 6 351 15.1% 0.15051458
7 7 - Very likely 144 6.2% 0.06174957
97 Not answered 85 3.6% 0.03644940
98 Not asked 11177 NA


r30_cepab_4


Variable label: How likely do you think that [r30_cepab_name_pipe] will make the following statement: Norway does not have a moral obligation to support Ukraine in the fight against Russia.
Pre-question text: [r30_cepab_intro_pipe] How likely do you think it is that [r30_cepab_name_pipe] makes the following statement?
Literal question: Norway does not have a moral obligation to support Ukraine in the fight against Russia.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 5 | r30_rangroup_gr6 = 12)]

[Display order of questions in grid: Randomized]

[Displayed in random order with [r30_cepas]. Order is set in [r30_cepa_ranorder].]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1 - Very unlikely 501 21.5% 0.21483705
2 2 668 28.6% 0.28644940
3 3 405 17.4% 0.17367067
4 4 338 14.5% 0.14493997
5 5 156 6.7% 0.06689537
6 6 102 4.4% 0.04373928
7 7 - Very likely 72 3.1% 0.03087479
97 Not answered 90 3.9% 0.03859348
98 Not asked 11177 NA


r30_cepas_1


Variable label: How likely do you think that [r30_cepas_name_pipe] will make the following statement: Discrimination against women is no longer a problem in Norway.
Pre-question text: [r30_cepas_intro_pipe] How likely do you think it is that [r30_cepas_name_pipe] makes the following statement?
Literal question: Discrimination against women is no longer a problem in Norway.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 5 | r30_rangroup_gr6 = 12)]

[Display order of questions in grid: Randomized]

[Displayed in random order with [r30_cepab]. Order is set in [r30_cepa_ranorder].]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1 - Very unlikely 132 5.7% 0.05660377
2 2 220 9.4% 0.09433962
3 3 310 13.3% 0.13293310
4 4 511 21.9% 0.21912521
5 5 526 22.6% 0.22555746
6 6 341 14.6% 0.14622642
7 7 - Very likely 192 8.2% 0.08233276
97 Not answered 100 4.3% 0.04288165
98 Not asked 11177 NA


r30_cepas_2


Variable label: How likely do you think that [r30_cepas_name_pipe] will make the following statement: Whether a person is male or female depends on whether they feel like a man or a woman.
Pre-question text: [r30_cepas_intro_pipe] How likely do you think it is that [r30_cepas_name_pipe] makes the following statement?
Literal question: Whether a person is male or female depends on whether they feel like a man or a woman.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 5 | r30_rangroup_gr6 = 12)]

[Display order of questions in grid: Randomized]

[Displayed in random order with [r30_cepab]. Order is set in [r30_cepa_ranorder].]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1 - Very unlikely 469 20.1% 0.20111492
2 2 527 22.6% 0.22598628
3 3 428 18.4% 0.18353345
4 4 443 19.0% 0.18996569
5 5 188 8.1% 0.08061750
6 6 112 4.8% 0.04802744
7 7 - Very likely 61 2.6% 0.02615780
97 Not answered 104 4.5% 0.04459691
98 Not asked 11177 NA


r30_cepas_3


Variable label: How likely do you think that [r30_cepas_name_pipe] will make the following statement: It is an advantage for Norway that immigrants come to live here.
Pre-question text: [r30_cepas_intro_pipe] How likely do you think it is that [r30_cepas_name_pipe] makes the following statement?
Literal question: It is an advantage for Norway that immigrants come to live here.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 5 | r30_rangroup_gr6 = 12)]

[Display order of questions in grid: Randomized]

[Displayed in random order with [r30_cepab]. Order is set in [r30_cepa_ranorder].]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1 - Very unlikely 356 15.3% 0.15265866
2 2 637 27.3% 0.27315609
3 3 496 21.3% 0.21269297
4 4 433 18.6% 0.18567753
5 5 182 7.8% 0.07804460
6 6 85 3.6% 0.03644940
7 7 - Very likely 47 2.0% 0.02015437
97 Not answered 96 4.1% 0.04116638
98 Not asked 11177 NA


r30_cepas_4


Variable label: How likely do you think that [r30_cepas_name_pipe] will make the following statement: Norway does not have a moral obligation to support Ukraine in the fight against Russia.
Pre-question text: [r30_cepas_intro_pipe] How likely do you think it is that [r30_cepas_name_pipe] makes the following statement?
Literal question: Norway does not have a moral obligation to support Ukraine in the fight against Russia.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 5 | r30_rangroup_gr6 = 12)]

[Display order of questions in grid: Randomized]

[Displayed in random order with [r30_cepab]. Order is set in [r30_cepa_ranorder].]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1 - Very unlikely 226 9.7% 0.09691252
2 2 329 14.1% 0.14108062
3 3 349 15.0% 0.14965695
4 4 559 24.0% 0.23970840
5 5 436 18.7% 0.18696398
6 6 214 9.2% 0.09176672
7 7 - Very likely 114 4.9% 0.04888508
97 Not answered 105 4.5% 0.04502573
98 Not asked 11177 NA


r30_cepacx


Variable label: Of [r30_cepab_name_pipe] and [r30_cepas_name_pipe], who would you rather get to know?
Literal question: Out of [r30_cepab_name_pipe] and [r30_cepas_name_pipe], who would you rather get to know?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 5 | r30_rangroup_gr6 = 12)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 [r30_cepab_name_pipe], who believes the climate is changing and that much more needs to be done to limit it 912 39.1% 0.39108062
2 [r30_cepas_name_pipe], who is sceptical that climate change is caused by humans and believes that too much is being done to limit it 162 6.9% 0.06946827
3 Both 865 37.1% 0.37092624
4 None of them 309 13.3% 0.13250429
97 Not answered 84 3.6% 0.03602058
98 Not asked 11177 NA


r30_pll5yx_ran


Variable label: Experiment. Randomly selects number of elements for list in [r30_pll5yx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 5 | r30_rangroup_gr6 = 12)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2276] [Invalid:11233] [Range:1-2]

Value Label Cases Percentage
1 4 elements (control) 1166 51.2% 0.5123023
2 5 elements (treatment) 1110 48.8% 0.4876977
Sysmiss 11233 NA


r30_pll5yx_list_1


Variable label: Experiment. Selects list elements to be shown in [r30_pll5yx]: Received a parking ticket due to incorrect parking or non-payment
Pre-question text: Experiment. Selects list elements to be shown in [r30_pll5yx].
Literal question: Received a parking ticket due to incorrect parking or non-payment
Field period: 03.06.2024 - 04.07.2024
Technical description: [Answer list display order: Randomize]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2276] [Invalid:11233] [Range:1-1]

Value Label Cases Percentage
1 Selected 2276 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 11233 NA


r30_pll5yx_list_2


Variable label: Experiment. Selects list elements to be shown in [r30_pll5yx]: Drank too much alcohol at a party and regretted things you said or did
Pre-question text: Experiment. Selects list elements to be shown in [r30_pll5yx].
Literal question: Drank too much alcohol at a party and regretted things you said or did
Field period: 03.06.2024 - 04.07.2024
Technical description: [Answer list display order: Randomize]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2276] [Invalid:11233] [Range:1-1]

Value Label Cases Percentage
1 Selected 2276 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 11233 NA


r30_pll5yx_list_3


Variable label: Experiment. Selects list elements to be shown in [r30_pll5yx]: Have had at least one doctors appointment
Pre-question text: Experiment. Selects list elements to be shown in [r30_pll5yx].
Literal question: Have had at least one doctors appointment
Field period: 03.06.2024 - 04.07.2024
Technical description: [Answer list display order: Randomize]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2276] [Invalid:11233] [Range:1-1]

Value Label Cases Percentage
1 Selected 2276 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 11233 NA


r30_pll5yx_list_4


Variable label: Experiment. Selects list elements to be shown in [r30_pll5yx]: Run the Oslo Marathon and/or the Bergen City Marathon
Pre-question text: Experiment. Selects list elements to be shown in [r30_pll5yx].
Literal question: Run the Oslo Marathon and/or the Bergen City Marathon
Field period: 03.06.2024 - 04.07.2024
Technical description: [Answer list display order: Randomize]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2276] [Invalid:11233] [Range:1-1]

Value Label Cases Percentage
1 Selected 2276 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 11233 NA


r30_pll5yx_list_5


Variable label: Experiment. Selects list elements to be shown in [r30_pll5yx]: Asked for sexual attention or sexual acts by someone who can control you in exchange for a favor such as grading, promotion, or medical help
Pre-question text: Experiment. Selects list elements to be shown in [r30_pll5yx].
Literal question: Asked for sexual attention or sexual acts by someone who can control you in exchange for a favor such as grading, promotion, or medical help
Field period: 03.06.2024 - 04.07.2024
Technical description: [Answer list display order: Randomize]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:1110] [Invalid:12399] [Range:1-1]

Value Label Cases Percentage
1 Selected 1110 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 12399 NA


r30_pll5yx


Variable label: Have you experienced any of these things in the past five years? If so, how many?
Literal question:

Below is a list list of things that people may have experienced or done. Have you experienced any of these in the past five years? If so, how many of the things?

[r30_pll5yx_list_1] [r30_pll5yx_list_2] [r30_pll5yx_list_3] [r30_pll5yx_list_4] [r30_pll5yx_list_5]
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 5 | r30_rangroup_gr6 = 12)]

[Answer list based on values in [r30_pll5yx_list_1] - [r30_pll5yx_list_5]]

[If [r30_pll5yx_ran] = 2 the fourth alternative was ‘4 of these things’, and fifth alternative ‘All the things’. If [r30_pll5yx_ran] = 1 the fourth alternative was ‘All the things’.

If [r30_pll5yx_ran] = 1 the respondent is exposed to the control-version of the experiment, and will not be exposed to [r30_pll5yx_list_5] and an equal number of answering alternatives. If [r30_pll5yx_ran] = 2 the respondent is exposed to the treatment-version of the experiment and is exposed to all list-alternatives and corresponding answering alternatives.

[r30_pll5yx_list_1] - [r30_pll5yx_list_5] was displayed in random order.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-5]

Value Label Cases Percentage
0 None of these things 184 7.9% 0.078902230
1 1 of these things 1211 51.9% 0.519296741
2 2 of these things 691 29.6% 0.296312178
3 3 of these things 166 7.1% 0.071183533
4 [4 of these things / All the things] 10 0.4% 0.004288165
5 All the things 4 0.2% 0.001715266
97 Not answered 66 2.8% 0.028301887
98 Not asked 11177 NA


r30_plsce


Variable label: Over the past five years: Experienced someone with authority over you requesting sexual attention or sexual acts in exchange for a service?
Literal question: Over the past five years, have you experienced someone with authority over you requesting sexual attention or sexual acts in exchange for a service, such as grading, promotion, or medical assistance?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_pll5yx_ran = 1) & (r30_group = 5 | r30_rangroup_gr6 = 12)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 11 0.9% 0.009433962
2 No 1150 98.6% 0.986277873
97 Not answered 5 0.4% 0.004288165
98 Not asked 12343 NA


r30_dmscpx_ran1


Variable label: Experiment. Randomly selects textpiping in [r30_dmscpx]
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Randomized if (r30_group = 5 | r30_rangroup_gr6 = 12)]

[Answer list display order: Randomized]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2272] [Invalid:11237] [Range:1-2]

Value Label Cases Percentage
1 received money from 1135 50.0% 0.4995599
2 had sexual relations with 1137 50.0% 0.5004401
Sysmiss 11237 NA


r30_dmscpx_ran2


Variable label: Experiment. Randomly selects textpiping in [r30_dmscpx]
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Randomized if (r30_group = 5 | r30_rangroup_gr6 = 12)]

[Answer list display order: Randomized]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2272] [Invalid:11237] [Range:1-2]

Value Label Cases Percentage
1 female 1133 49.9% 0.4986796
2 male 1139 50.1% 0.5013204
Sysmiss 11237 NA


r30_dmscpx_intro


Variable label: Fictitious situation: Male case officer has [r30_dmscpx_ran1] with [r30_dmscpx_ran2] asylum seekers during asylum application process.
Literal question: Imagine the following fictitious situation: A male government case officer has [r30_dmscpx_ran1] [r30_dmscpx_ran2] asylum seekers in connection with the procession of their asylum application. The case officer says that this was voluntary and that he wanted to help the asylum seekers through what he knows to be a challenging process.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 5 | r30_rangroup_gr6 = 12)]
Technical attributes: [Question type:Open] [Format:integer] [Valid:0] [Invalid:13509] [Range:-]



r30_dmscpx_ranorder


Variable label: Experiment. Indicates which question was displayed first of [30_dmscpx] and [r30_dmscax].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Answer list display order: Randomized]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2272] [Invalid:11237] [Range:1-2]

Value Label Cases Percentage
1 [r30_dmscpx] first 1141 50.2% 0.5022007
2 [r30_dmscax] first 1131 49.8% 0.4977993
3 BLANK 0 0.0% 0.0000000
Sysmiss 11237 NA


r30_dmscpx


Variable label: To what extent do you think the case officer’s behaviour in this situation is morally acceptable or unacceptable?
Literal question: To what extent do you think the case officer’s behaviour in this situation is morally acceptable or unacceptable?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 5 | r30_rangroup_gr6 = 12)]

[Displayed on the same page with [r30_dmscax], and [r30_dmscrx].

Displayed in random order with [r30_dmscax]. Order of question is listed in [r30_dmscpx_ranorder]. [r30_dmscrx] was always displayed last.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Completely acceptable 48 2.1% 0.020583190
2 Quite acceptable 8 0.3% 0.003430532
3 Slightly acceptable 18 0.8% 0.007718696
4 Neither acceptable nor unacceptable 31 1.3% 0.013293310
5 Slightly unacceptable 36 1.5% 0.015437393
6 Quite unacceptable 213 9.1% 0.091337907
7 Completely unacceptable 1905 81.7% 0.816895369
97 Not answered 73 3.1% 0.031303602
98 Not asked 11177 NA


r30_dmscax


Variable label: To what extent do you think the asylum seeker’s behaviour in this situation is morally acceptable or unacceptable?
Literal question: To what extent do you think the asylum seeker’s behaviour in this situation is morally acceptable or unacceptable?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 5 | r30_rangroup_gr6 = 12)]

[Displayed on the same page with [r30_dmscpx], and [r30_dmscrx].

Displayed in random order with [r30_dmscpx]. Order of question is listed in [r30_dmscpx_ranorder]. [r30_dmscrx] was always displayed last.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Completely acceptable 72 3.1% 0.03087479
2 Quite acceptable 124 5.3% 0.05317324
3 Slightly acceptable 142 6.1% 0.06089194
4 Neither acceptable nor unacceptable 486 20.8% 0.20840480
5 Slightly unacceptable 260 11.1% 0.11149228
6 Quite unacceptable 410 17.6% 0.17581475
7 Completely unacceptable 756 32.4% 0.32418525
97 Not answered 82 3.5% 0.03516295
98 Not asked 11177 NA


r30_dmscrx


Variable label: Who do you think is responsible for this relationship?
Literal question: Who do you think is responsible for this relationship?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 5 | r30_rangroup_gr6 = 12)]

[Displayed on the same page with [r30_dmscax], and [r30_dmscpx]. ]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Only the case officer 1275 54.7% 0.546740995
2 Only the asylum seeker 12 0.5% 0.005145798
3 Both the case officer and the asylum seeker 969 41.6% 0.415523156
97 Not answered 76 3.3% 0.032590051
98 Not asked 11177 NA


r30_pcelc_1


Variable label: Agree/disagree in measures to reduce electricity costs: Compensate consumers when electricity prices are high
Pre-question text: The authorities can introduce various measures to reduce electricity costs for consumers in Norway. How much do you agree or disagree that the authorities should…
Literal question: Compensate consumers when electricity prices are high
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_panel = 1)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 1230 31.6% 0.31643941
2 Agree 1246 32.1% 0.32055570
3 Agree somewhat 723 18.6% 0.18600463
4 Neither agree nor disagree 182 4.7% 0.04682274
5 Disagree somewhat 159 4.1% 0.04090558
6 Disagree 159 4.1% 0.04090558
7 Strongly disagree 102 2.6% 0.02624132
97 Not answered 86 2.2% 0.02212503
98 Not asked 9622 NA


r30_pcelc_2


Variable label: Agree/disagree in measures to reduce electricity costs: Expand Norwegian power production
Pre-question text: The authorities can introduce various measures to reduce electricity costs for consumers in Norway. How much do you agree or disagree that the authorities should…
Literal question: Expand Norwegian power production
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_panel = 1)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 1138 29.3% 0.29277077
2 Agree 1350 34.7% 0.34731155
3 Agree somewhat 738 19.0% 0.18986365
4 Neither agree nor disagree 280 7.2% 0.07203499
5 Disagree somewhat 159 4.1% 0.04090558
6 Disagree 89 2.3% 0.02289684
7 Strongly disagree 32 0.8% 0.00823257
97 Not answered 101 2.6% 0.02598405
98 Not asked 9622 NA


r30_pcelc_3


Variable label: Agree/disagree in measures to reduce electricity costs: Export less electricity abroad
Pre-question text: The authorities can introduce various measures to reduce electricity costs for consumers in Norway. How much do you agree or disagree that the authorities should…
Literal question: Export less electricity abroad
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_panel = 1)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 1153 29.7% 0.29662979
2 Agree 977 25.1% 0.25135066
3 Agree somewhat 718 18.5% 0.18471829
4 Neither agree nor disagree 477 12.3% 0.12271675
5 Disagree somewhat 238 6.1% 0.06122974
6 Disagree 184 4.7% 0.04733728
7 Strongly disagree 57 1.5% 0.01466427
97 Not answered 83 2.1% 0.02135323
98 Not asked 9622 NA


r30_pcelc_4


Variable label: Agree/disagree in measures to reduce electricity costs: Refrain from introducing measures to reduce electricity costs
Pre-question text: The authorities can introduce various measures to reduce electricity costs for consumers in Norway. How much do you agree or disagree that the authorities should…
Literal question: Refrain from introducing measures to reduce electricity costs
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_panel = 1)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 91 2.3% 0.02341137
2 Agree 146 3.8% 0.03756110
3 Agree somewhat 188 4.8% 0.04836635
4 Neither agree nor disagree 425 10.9% 0.10933882
5 Disagree somewhat 746 19.2% 0.19192179
6 Disagree 1362 35.0% 0.35039877
7 Strongly disagree 826 21.3% 0.21250322
97 Not answered 103 2.6% 0.02649859
98 Not asked 9622 NA


r30_pcelc_5


Variable label: Agree/disagree in measures to reduce electricity costs: Increase financial support for electricity-saving measures
Pre-question text: The authorities can introduce various measures to reduce electricity costs for consumers in Norway. How much do you agree or disagree that the authorities should…
Literal question: Increase financial support for electricity-saving measures
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_panel = 1)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 1338 34.4% 0.344224338
2 Agree 1461 37.6% 0.375868279
3 Agree somewhat 607 15.6% 0.156161564
4 Neither agree nor disagree 241 6.2% 0.062001544
5 Disagree somewhat 65 1.7% 0.016722408
6 Disagree 59 1.5% 0.015178801
7 Strongly disagree 35 0.9% 0.009004374
97 Not answered 81 2.1% 0.020838693
98 Not asked 9622 NA


r30_bglrs


Variable label: Personal placement on political left and right wing scale
Pre-question text: In politics people often talk about the “left wing” and the “right wing.” Below is a scale where 0 represents those who are on the far left politically, while 10 represents those who are on the far right.
Literal question: Where would you place yourself on such a scale?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 6 )]

[Respondents answered using a slider.]
Technical attributes: [Question type:Numeric] [Format:numeric] [Valid:3304] [Invalid:10205] [Range:0-10]

Value Label Cases Percentage
0 0 - Left wing 79 2.4% 0.02391041
1 1 161 4.9% 0.04872881
2 2 367 11.1% 0.11107748
3 3 401 12.1% 0.12136804
4 4 330 10.0% 0.09987893
5 5 610 18.5% 0.18462470
6 6 347 10.5% 0.10502421
7 7 418 12.7% 0.12651332
8 8 376 11.4% 0.11380145
9 9 137 4.1% 0.04146489
10 10 - Right wing 78 2.4% 0.02360775
Sysmiss 10205 NA


r30_bgedu


Variable label: Highest completed education
Pre-question text: NA
Literal question: What is the highest level of completed education?
Post-question: If you have obtained multiple qualifications of the same level, select the one that is the most relevant to you.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 6 )]

[Added recoded values from _other-variables]
Technical attributes: [Question type:Single] [Format:integer] [Valid:13509] [Invalid:0] [Range:-]

Value Label Cases Percentage
1 No completed education 27 0.8% 0.007527181
2 Primary and lower secondary school (completed either the first part of compulsory education (elementary school), primary and lower secondary school, 7- year elementary school, secondary modern school or lower secondary school) 250 7.0% 0.069696125
3 Secondary education-general studies/programme for general studies, one-year supplementary study for university and college admission certification (VK2, VG3, High School) 892 24.9% 0.248675774
4 Secondary education-vocational line of study/education programme (VK2, VK3, VG3, apprenticeship examination, apprentices’ final exam ) 588 16.4% 0.163925286
5 Diploma from supplementary programme for general university and college admissions certification (tertiary vocational education, vocational technical college) 213 5.9% 0.059381098
6 University/College, less than 3 years, but at least 2 years (university college graduate 2 and 2½ years) 197 5.5% 0.054920546
7 College-3-4 year education (Bachelor-, cand.mag., teacher training college, school of nursing, preschool teacher, engineer, business graduate, etc.) 423 11.8% 0.117925843
8 University-3-4 year education (Bachelor, cand.mag.) 326 9.1% 0.090883747
9 College-5-6 year education (Master, major) 138 3.8% 0.038472261
10 University 5-6 year education (Master, majors, or longer professional education (e.g. MA in Theology., MA in Psychology., Doctor of Medicine, Doctor of Veterinary Medicine, chartered engineer, graduate in architecture, Master of Science in Business and Economics)) 311 8.7% 0.086701979
11 Researcher level (Doctorate, Ph.d.) 41 1.1% 0.011430164
12 None of the above (please enter): 21 0.6% 0.005854474
97 Not answered 160 4.5% 0.044605520
98 Not asked 9922 NA


r30_bgedu_12_other


Variable label: Open: Highest completed education: None of the above
Pre-question text: What is the highest level of completed education?
Literal question: None of the above
Post-question: If you have obtained multiple qualifications of the same level, select the one that is the most relevant to you.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 6 )]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Single - Other] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_bginc_v2


Variable label: Current gross annual income?
Literal question: What is your current income? Gross annual income is:
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 6 )]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-10]

Value Label Cases Percentage
1 Less than 300 000 NOK 1505 42.0% 0.41957067
2 300 001 - 400 000 NOK 375 10.5% 0.10454419
3 400 001 - 500 000 NOK 340 9.5% 0.09478673
4 500 001 - 600 000 NOK 367 10.2% 0.10231391
5 600 001 - 700 000 NOK 296 8.3% 0.08252021
6 700 001 - 800 000 NOK 162 4.5% 0.04516309
7 800 001 - 900 000 NOK 95 2.6% 0.02648453
8 900 001 - 1 000 000 NOK 70 2.0% 0.01951491
9 1 000 001 - 1 300 000 NOK 96 2.7% 0.02676331
10 More than 1 300 000 NOK 73 2.0% 0.02035127
97 Not answered 208 5.8% 0.05798718
98 Not asked 9922 NA


r30_bgurb


Variable label: Which description best fits the area you live in?
Literal question: Which description best fits the area you live in?
Post-question: We are thinking about Norwegian conditions here.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 6 )]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A city 1030 28.7% 0.2871480
2 A suburb or the outskirts of a city 583 16.3% 0.1625314
3 A small or medium sized town 964 26.9% 0.2687483
4 A village 539 15.0% 0.1502648
5 A sparsely inhabited area 316 8.8% 0.0880959
97 Not answered 155 4.3% 0.0432116
98 Not asked 9922 NA


r30_bgupm_sok


Variable label: Enter the name of the municipality you lived in, and then select from the list of search results.
Pre-question text:

We will ask you which municipality you lived in when you were 15 years old. If you lived in several municipalities during the year you turned 15, you can specify the one in which you lived for most of the year.

Old and new municipality names

We know that Norwegian municipalities have changed, and on the list below you will therefore find both the names of municipalities that still exist and the names of previous municipalities. Enter the name of the municipality you lived in when you were 15 years old, even if the municipality no longer exists.

Why is my municipality listed several times?

Some municipalities have one or more years associated with them, for example, you can see both “Bergen (-1971)” and “Bergen” on the list. If you lived in Bergen in 1971 or earlier when you turned 15, choose “Bergen (– 1971)”. If you turned 15 after 1971, just choose “Bergen”.
Literal question: Enter the name of the municipality you lived in, and then select from the list of search results. 
Post-question: If the municipality is not on the list, try checking if the name is spelled correctly in the search box
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 6 )]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgupm


Variable label: Municipality of residence at age 15.
Pre-question text:

We will ask you which municipality you lived in when you were 15 years old. If you lived in several municipalities during the year you turned 15, you can specify the one in which you lived for most of the year.

Old and new municipality names

We know that Norwegian municipalities have changed, and on the list below you will therefore find both the names of municipalities that still exist and the names of previous municipalities. Enter the name of the municipality you lived in when you were 15 years old, even if the municipality no longer exists.

Why is my municipality listed several times?

Some municipalities have one or more years associated with them, for example, you can see both “Bergen (-1971)” and “Bergen” on the list. If you lived in Bergen in 1971 or earlier when you turned 15, choose “Bergen (– 1971)”. If you turned 15 after 1971, just choose “Bergen”.
Literal question: Which municipality did you live in when you were 15?
Post-question: If the municipality is not on the list, try checking if the name is spelled correctly in the search box
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_bgupm_sok is answered & !(r30_bgupm_utland is answered | r30_bgupm_mangler is answered)) & (r30_group = 6 )]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgupm_utland_1


Variable label: Municipality of residence: Did not live in Norway
Pre-question text:

We will ask you which municipality you lived in when you were 15 years old. If you lived in several municipalities during the year you turned 15, you can specify the one in which you lived for most of the year.

Old and new municipality names

We know that Norwegian municipalities have changed, and on the list below you will therefore find both the names of municipalities that still exist and the names of previous municipalities. Enter the name of the municipality you lived in when you were 15 years old, even if the municipality no longer exists.

Why is my municipality listed several times?

Some municipalities have one or more years associated with them, for example, you can see both “Bergen (-1971)” and “Bergen” on the list. If you lived in Bergen in 1971 or earlier when you turned 15, choose “Bergen (– 1971)”. If you turned 15 after 1971, just choose “Bergen”.
Literal question: I didn’t live in Norway the year I turned 15
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_bgupm_mangler is not answered) & (r30_group = 6 )]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgupm_mangler_2


Variable label: Municipality of residence: Municipality not listed
Pre-question text:

We will ask you which municipality you lived in when you were 15 years old. If you lived in several municipalities during the year you turned 15, you can specify the one in which you lived for most of the year.

Old and new municipality names

We know that Norwegian municipalities have changed, and on the list below you will therefore find both the names of municipalities that still exist and the names of previous municipalities. Enter the name of the municipality you lived in when you were 15 years old, even if the municipality no longer exists.

Why is my municipality listed several times?

Some municipalities have one or more years associated with them, for example, you can see both “Bergen (-1971)” and “Bergen” on the list. If you lived in Bergen in 1971 or earlier when you turned 15, choose “Bergen (– 1971)”. If you turned 15 after 1971, just choose “Bergen”.
Literal question: I can’t find my municipality on the list
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_bgupm_utland is not answered) & (r30_group = 6 )]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgupm_other


Variable label: Open: Municipality of residence at age 15
Pre-question text:

We will ask you which municipality you lived in when you were 15 years old. If you lived in several municipalities during the year you turned 15, you can specify the one in which you lived for most of the year.

Old and new municipality names

We know that Norwegian municipalities have changed, and on the list below you will therefore find both the names of municipalities that still exist and the names of previous municipalities. Enter the name of the municipality you lived in when you were 15 years old, even if the municipality no longer exists.

Why is my municipality listed several times?

Some municipalities have one or more years associated with them, for example, you can see both “Bergen (-1971)” and “Bergen” on the list. If you lived in Bergen in 1971 or earlier when you turned 15, choose “Bergen (– 1971)”. If you turned 15 after 1971, just choose “Bergen”.
Literal question: When I was 15, I lived in this municipality: 
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_bgupm_mangler is answered) & (r30_group = 6 )]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgupc


Variable label: Respondents home county at 15 years of age
Field period: 03.06.2024 - 04.07.2024
Technical description: [Aggregated variable based on registered municipality in r30_bgupm]
Technical attributes: [Question type: -] [Format:integer] [Valid:3086] [Invalid:10423] [Range:-]

Value Label Cases Percentage
3 Oslo 283 9.2% 0.09170447
11 Rogaland 303 9.8% 0.09818535
15 Møre og Romsdal 177 5.7% 0.05735580
18 Nordland 136 4.4% 0.04406999
31 Østfold 146 4.7% 0.04731043
32 Akershus 398 12.9% 0.12896954
33 Buskerud 149 4.8% 0.04828257
34 Innlandet 231 7.5% 0.07485418
39 Vestfold 135 4.4% 0.04374595
40 Telemark 97 3.1% 0.03143227
42 Agder 210 6.8% 0.06804925
46 Vestland 395 12.8% 0.12799741
50 Trøndelag 285 9.2% 0.09235256
55 Troms - Romsa - Tromssa 102 3.3% 0.03305250
56 Finnmark - Finnmárku - Finmarkku 39 1.3% 0.01263772
Sysmiss 10423 NA


r30_bgupm_nudged


Variable label: The respondent received a message if they did not choose a municipality from the list in [r30_bgupm].
Field period: 03.06.2024 - 04.07.2024
Technical description: The respondent received the message: “Remember to choose a municipality from the list for the answer to be registered.”
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgciv


Variable label: Marital status
Literal question: What is your marital status?
Post-question: Click on what is most suitable to you:
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 6 )]

[Data withheld due to privacy considerations.]

[Added recoded values from _other-variables]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:3428] [Invalid:10081] [Range:1-7]

Value Label Cases Percentage
1 Single 1353 39.5% 0.394690782
2 Non-domestic relationship 522 15.2% 0.152275379
3 Cohabitant 593 17.3% 0.172987165
4 Married/legally registered partner 785 22.9% 0.228996499
5 Divorced/separated/formerly legally registered partner 108 3.2% 0.031505251
6 Widow/widower 63 1.8% 0.018378063
7 Other: 4 0.1% 0.001166861
Sysmiss 10081 NA


r30_bgciv_7_other


Variable label: Other: Marital status
Pre-question text: What is your marital status? Click on what is most suitable to you:
Literal question: Other:
Post-question: Click on what is most suitable to you:
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 6 )]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Single - Other] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgchi


Variable label: Living with children under 16 years
Literal question: Do you have any children under the age of 16 who live at home with you, and if so, how many?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 6 )]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-6]

Value Label Cases Percentage
0 None 2919 81.4% 0.813771954
1 1 257 7.2% 0.071647616
2 2 191 5.3% 0.053247839
3 3 48 1.3% 0.013381656
4 4 7 0.2% 0.001951491
5 5 0 0.0% 0.000000000
6 6 or more 2 0.1% 0.000557569
97 Not answered 163 4.5% 0.045441873
98 Not asked 9922 NA


r30_bghea


Variable label: In general, how would you say your health is?
Literal question: In general, how would you say your health is?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 6 )]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Excellent 676 18.8% 0.18845832
2 Very good 1173 32.7% 0.32701422
3 Good 994 27.7% 0.27711179
4 Somewhat good 427 11.9% 0.11904098
5 Poor 155 4.3% 0.04321160
97 Not answered 162 4.5% 0.04516309
98 Not asked 9922 NA


r30_bgcla


Variable label: Social class, personal placement.
Pre-question text: We sometimes talk about whether or not there are different social groups or classes.
Literal question: If you were to place yourself in such a social class, which one would it be?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 6 )]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Lower class 68 1.9% 0.018957346
2 Working class 641 17.9% 0.178700864
3 Lower middle class 443 12.4% 0.123501533
4 Middle class 1459 40.7% 0.406746585
5 Upper middle class 496 13.8% 0.138277112
6 Upper class 21 0.6% 0.005854474
7 Don't know 298 8.3% 0.083077781
97 Not answered 161 4.5% 0.044884304
98 Not asked 9922 NA


r30_bgrel


Variable label: Belongs to a religion or a religious denomination
Literal question: Do you belong to a religion or a religious denomination?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 6 )]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgrel_recode


Variable label: Belongs to a religion or a religious denomination [Recoded]
Literal question: Do you belong to a religion or a religious denomination?
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type: -] [Format:numeric] [Valid:3418] [Invalid:10091] [Range:1-6]

Value Label Cases Percentage
1 The Church of Norway 1669 48.8% 0.48829725
2 The Catholic Church 80 2.3% 0.02340550
3 Other Christian faiths (Orthodox church, and other christian faiths, e.g. free churches, Anglican church, Pentecostalists, Jehovah's Witnesses, and Mormons) 191 5.6% 0.05588063
4 Other non-Christian religions (The Mosaic faith, eastern religions (e.g. Buddhism, Hinduism, Sikh, Shintoism, Taoism, Confucianism), and others) 49 1.4% 0.01433587
5 Islam 98 2.9% 0.02867174
6 Do not belong to any religion or religious denominations 1331 38.9% 0.38940901
97 Not answered 0 0.0% 0.00000000
98 Not asked 0 NA
Sysmiss 10091 NA


r30_bgrem2


Variable label: Participation in religious meetings
Literal question: Apart from special occasions such as weddings and funerals, how often have you participated in religious meetings during the last 12 months?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 6 )]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 Approximately every day 11 0.3% 0.003066629
2 More than once a week 41 1.1% 0.011430164
3 Approximately once a week 97 2.7% 0.027042096
4 Once or a few times a month 121 3.4% 0.033732924
5 Several times a year 327 9.1% 0.091162531
6 Once 410 11.4% 0.114301645
7 I attend religious meetings less than once a year 701 19.5% 0.195427934
8 I never attend religious meetings 1706 47.6% 0.475606356
97 Not answered 173 4.8% 0.048229718
98 Not asked 9922 NA


r30_bgcit2_1


Variable label: Citizenship: Norwegian citizen
Pre-question text: Citizenship. Are you:
Literal question: Norwegian citizen
Post-question: Several answers are possible
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 6 )]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 3202 89.3% 0.89266797
0 Not selected 234 6.5% 0.06523557
97 Not answered 151 4.2% 0.04209646
98 Not asked 9922 NA


r30_bgcit2_2


Variable label: Citizenship: Another country
Pre-question text: Citizenship. Are you:
Literal question: Citizen of another country. Please write which one:
Post-question: Several answers are possible
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 6 )]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 324 9.0% 0.09032618
0 Not selected 3112 86.8% 0.86757736
97 Not answered 151 4.2% 0.04209646
98 Not asked 9922 NA


r30_bgcit2_2_other


Variable label: Open: Citizenship: Another country
Pre-question text: Citizenship. Are you:
Literal question: Citizen of another country. Please write which one:
Post-question: Several answers are possible
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 6 )]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Multi - Other] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_bgimm


Variable label: Have you or your parents (mother, father, or both parents) immigrated to Norway?
Literal question: Have you or your parents (mother, father, or both parents) immigrated to Norway?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 6 )]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 No 2848 79.4% 0.79397825
2 I myself have immigrated to Norway 253 7.1% 0.07053248
3 Both my parents have immigrated to Norway, but I was born in Norway 101 2.8% 0.02815723
4 My mother has immigrated to Norway, but myself and my father have not immigrated 125 3.5% 0.03484806
5 My father has immigrated to Norway, but myself and my mother have not immigrated 87 2.4% 0.02425425
97 Not answered 173 4.8% 0.04822972
98 Not asked 9922 NA


r30_bgimh


Variable label: Which country did you live in before you immigrated?
Literal question: Which country did you live in before you immigrated?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_bgimm = 2) & (r30_group = 6 )]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_bgimp_m


Variable label: Open: Which country did your mother live in before your parents immigrated?
Pre-question text: Which country did you parents live in (mother, father or both) before they immigrated?
Literal question: Mother:
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_bgimm = 3) & (r30_group = 6 )]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open Text List] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_bgimp_f


Variable label: Open: Which country did your father live in before your parents immigrated?
Pre-question text: Which country did you parents live in (mother, father or both) before they immigrated?
Literal question: Father:
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_bgimm = 3) & (r30_group = 6 )]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open Text List] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_bgimpm


Variable label: In which country did your mother live before she immigrated?
Literal question: In which country did your mother live before she immigrated?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_bgimm = 4) & (r30_group = 6 )]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_bgimpf


Variable label: In which country did your father live before he immigrated?
Literal question: In which country did your father live before he immigrated?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_bgimm = 5) & (r30_group = 6 )]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_bgday


Variable label: Which of the following descriptions best applies to what you have been doing for the last seven days?
Literal question: Which of the following descriptions best applies to what you have been doing for the last seven days?
Post-question: Select one alternative.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[All respondents asked]

[Added recoded values from _other-variables]
Technical attributes: [Question type:Single] [Format:integer] [Valid:13509] [Invalid:0] [Range:-]

Value Label Cases Percentage
1 In full-time paid work (or on temporary leave such as vacation leave or leave of absence/maternity leave) 5474 40.5% 0.405211341
2 In part-time paid work (or on temporary leave such as vacation leave or leave of absence/maternity leave) with working hours of 30 hours per week or more 511 3.8% 0.037826634
3 In part-time paid work (or on temporary leave such as vacation leave or leave of absence/maternity leave) with working hours of less than 30 hours per week 636 4.7% 0.047079725
4 Self-employed 482 3.6% 0.035679917
5 In education (not paid by an employer) 909 6.7% 0.067288474
6 Unemployed and actively seeking a job 141 1.0% 0.010437486
7 Unemployed and not actively seeking a job 69 0.5% 0.005107706
8 Permanently ill or disabled 690 5.1% 0.051077060
9 Retired 4064 30.1% 0.300836479
10 In military service 40 0.3% 0.002960989
11 Working at home, minding children or providing care to other persons 67 0.5% 0.004959657
12 Other: 98 0.7% 0.007254423
97 Not answered 328 2.4% 0.024280110


r30_bgday_12_other


Variable label: Open: Which of the following descriptions best applies to what you have been doing for the last seven days: Other
Pre-question text: Which of the following descriptions best applies to what you have been doing for the last seven days?
Literal question: Other:
Post-question: Select one alternative.
Field period: 03.06.2024 - 04.07.2024
Technical description: [All respondents asked] [Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Single - Other] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjof


Variable label: Have you had paid employment before?
Literal question: Have you had paid employment before?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_bgday = 5, 6, 7, 8, 9, 10, 11)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 5515 95.8% 0.958463677
2 No 231 4.0% 0.040145985
97 Not answered 8 0.1% 0.001390337
98 Not asked 7755 NA


r30_bgjsc


Variable label: What type of business [did/do] you work in?
Literal question: What type of business [did/do] you work in?
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_bgday = 1,2,3 | r30_bgjof = 1)]
Technical attributes: [Question type:Single] [Format:integer] [Valid:13509] [Invalid:0] [Range:-]

Value Label Cases Percentage
1 State, county or municipal administration 1476 12.2% 0.122155094
2 Other public sector (e.g. school and health services) 3565 29.5% 0.295042622
3 Publicly owned enterprise 853 7.1% 0.070595051
4 Private company, commercial 4923 40.7% 0.407431929
5 Private company, non-profit 783 6.5% 0.064801788
6 Self-employed 385 3.2% 0.031862948
7 Other: 69 0.6% 0.005710502
97 Not answered 29 0.2% 0.002400066
98 Not asked 1426 NA


r30_bgjsc_7_other


Variable label: What type of business [did/do] you work in: Other
Pre-question text: What type of business [did/do] you work in?
Literal question: Other:
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_bgday = 1,2,3 | r30_bgjof = 1)]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Single - Other] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjem


Variable label: How many employes [did/do] you have?
Literal question: How many employes [did/do] you have?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_bgjsc = 6 | r30_bgday = 4)]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjma


Variable label: [Do/did] you have responsibility for managing other employees’ work in your main job?
Literal question: [Do/did] you have responsibility for managing other employees’ work in your main job?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_bgjsc = 1, 2, 3, 4, 5)]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjob_other_1


Variable label: Main occupation: Can’t find the right profession
Pre-question text: What [is/was] your main occupation? Enter the job title in the box below and select the correct occupation from the options that appear. If you can’t find the job title, you can try different variations of the title
Literal question: Can’t find the right profession
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_bgjof != 2)]

[The respondenten searched to find the profession.]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjob


Variable label: Main occupation
Literal question: What [is/was] your main occupation when you were fourteen years old? Enter the job title in the box below and select the correct occupation from the options that appear. If you can’t find the job title, you can try different variations of the title
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_bgjof != 2)]

[The respondenten searched to find the profession.]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjtio


Variable label: What [is/was] the name of your main occupation?
Literal question: What [is/was] the name or title of your main occupation?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjob_other is answered | r30_bgjob is not answered) & (r30_bgjof != 2))]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjwoo


Variable label: What type of work [does/did] your main occupation consist of?
Literal question: What type of work [does/did] your main occupation consist of?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjob_other is answered | r30_bgjob is not answered) & (r30_bgjof != 2))]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjpa


Variable label: Does your spouse/partner have income-giving employment?
Literal question: Does your spouse/partner currently have any income-producing work?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_bgjof = 2)]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bglivpa


Variable label: What is your spouse/partners main task or source of livelihood?
Literal question: What are your spouse’s/partner’s main tasks or source of livelihood?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjpa = 2) & (r30_bgjof = 2))]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bglivpa_7_other


Variable label: What is your spouse/partners main task or source of livelihood: Other
Pre-question text: What are your spouse’s/partner’s main tasks or source of livelihood?
Literal question: Other:
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjpa = 2) & (r30_bgjof = 2))]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Single - Other] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjofpa


Variable label: Did your spouse/partner have income-giving employment before?
Literal question: Did your spouse/partner previously have any income-generating employment?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjpa = 2, 4) & (r30_bgjof = 2))]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjscpa


Variable label: In your spouse/partners main occupation, [is/was] he/she…
Literal question: In their main occupation, [is/was] your spouse/partner…
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjpa = 1 | r30_bgjofpa = 1) & (r30_bgjof = 2))]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjempa


Variable label: How many employees [do/did] your spouse/partner have in their main job?
Literal question: How many employees [do/did] your spouse/partner have in their main job?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjscpa = 2) & (r30_bgjof = 2))]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjmapa


Variable label: [Do/did] your spouse/partner have responsibility for managing other employees’ work in their main job?
Literal question: [Do/did] your spouse/partner have responsibility for managing other employees’ work in their main job?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjscpa = 1, 3) & (r30_bgjof = 2))]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjobpa_other_1


Variable label: Spouse/partner: Main occupation: Cannot find correct profession
Pre-question text: What [is/was] your spouse’s/partner’s main occupation? Enter the job title in the box below and select the correct occupation from the options that appear. If you can’t find the job title, you can try different variations of the title
Literal question: Can’t find the right profession
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjof = 2) & ((r30_bgjpa != 3) & (r30_bgjofpa != 2)))]

[The respondenten searched to find the profession.]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjobpa


Variable label: Spouse/partner: Main occupation
Literal question: What [is/was] your spouse’s/partner’s main occupation when you were fourteen years old? Enter the job title in the box below and select the correct occupation from the options that appear. If you can’t find the job title, you can try different variations of the title
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjof = 2) & ((r30_bgjpa != 3) & (r30_bgjofpa != 2)))]

[The respondenten searched to find the profession.]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjtipao


Variable label: What [is/was] the name or title of the main occupation of your partner/spouse?
Literal question: What [is/was] the name or title of the main occupation of your partner/spouse?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjobpa_other is answered | r30_bgjobpa is not answered) & (r30_bgjof = 2) & ((r30_bgjpa != 3) & (r30_bgjofpa != 2)))]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjwopao


Variable label: What kind of work [do/did] your partner/spouse mostly do in their main occupation?
Literal question: What kind of work [do/did] your partner/spouse mostly do in their main occupation?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjobpa_other is answered | r30_bgjobpa is not answered) & (r30_bgjof = 2) & ((r30_bgjpa != 3) & (r30_bgjofpa != 2)))]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_bgbrw


Variable label: When you were fourteen years old, who was the main breadwinner in your household?
Literal question: When you were fourteen years old, who was the main breadwinner in your household?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjof = 2) & ((r30_bgjpa = 3) | (r30_bgjofpa = 2)))]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjscfa


Variable label: Your father’s main occupation when you were fourteen years old was…
Literal question: Your father’s main occupation when you were fourteen years old was…
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgbrw = 1, 3, 6) & (r30_bgjof = 2) & ((r30_bgjpa = 3) | (r30_bgjofpa = 2)))]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjemfa


Variable label: Approximately how many employees did your father have?
Literal question: Approximately how many employees did your father have?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjscfa = 2) & (r30_bgjof = 2) & ((r30_bgjpa = 3) | (r30_bgjofpa = 2)))]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjmafa


Variable label: Did your father have responsibility for managing other employees’ work in his main job?
Literal question: Did your father have responsibility for managing other employees’ work in his main job?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjscfa = 1, 3) & (r30_bgjof = 2) & ((r30_bgjpa = 3) | (r30_bgjofpa = 2)))]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjobfa_other_1


Variable label: You at the age of fourteen: Father’s main occupation: Can’t find the right profession
Pre-question text: What was your father’s main occupation when you were fourteen years old? Enter the job title in the box below and select the correct occupation from the options that appear. If you can’t find the job title, you can try different variations of the title
Literal question: Can’t find the right profession
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjof = 2) & ((r30_bgjpa = 3) | (r30_bgjofpa = 2)) & (r30_bgbrw = 1, 3, 6))]

[The respondenten searched to find the profession.]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjobfa


Variable label: What was the name or title of your father’s main occupation?
Literal question: What was your father’s main occupation when you were fourteen years old? Enter the job title in the box below and select the correct occupation from the options that appear. If you can’t find the job title, you can try different variations of the title
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjof = 2) & ((r30_bgjpa = 3) | (r30_bgjofpa = 2)) & (r30_bgbrw = 1, 3, 6))]

[The respondenten searched to find the profession.]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjtifao


Variable label: What was the name or title of your father’s main occupation: Other
Literal question: What was the name or title of your father’s main occupation?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjobfa_other is answered | r30_bgjobfa is not answered) & (r30_bgjof = 2) & ((r30_bgjpa = 3) | (r30_bgjofpa = 2)) & (r30_bgbrw = 1, 3, 6))]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjwofao


Variable label: What kind of work did your father mainly do in his main occupation?
Literal question: What kind of work did your father mainly do in his main occupation?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjobfa_other is answered | r30_bgjobfa is not answered) & (r30_bgjof = 2) & ((r30_bgjpa = 3) | (r30_bgjofpa = 2)) & (r30_bgbrw = 1, 3, 6))]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjscmo


Variable label: Your mother’s main occupation when you were fourteen years old was…
Literal question: Your mother’s main occupation when you were fourteen years old was…
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgbrw = 2, 3, 6) & (r30_bgjof = 2) & ((r30_bgjpa = 3) | (r30_bgjofpa = 2)))]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjemmo


Variable label: Approximately how many employees did your mother have?
Literal question: Approximately how many employees did your mother have?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjscmo = 2) & (r30_bgjof = 2) & ((r30_bgjpa = 3) | (r30_bgjofpa = 2)))]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjmamo


Variable label: Did your mother have responsibility for managing other employees’ work in her main job?
Literal question: Did your mother have responsibility for managing other employees’ work in her main job?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjscmo = 1, 3) & (r30_bgjof = 2) & ((r30_bgjpa = 3) | (r30_bgjofpa = 2)))]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjobmo_other_1


Variable label: You at the age of fourteen: Mother’s main occupation: Can’t find the right profession
Pre-question text: What was your mother’s main occupation when you were fourteen years old? Enter the job title in the box below and select the correct occupation from the options that appear. If you can’t find the job title, you can try different variations of the title
Literal question: Can’t find the right profession
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjof = 2) & ((r30_bgjpa = 3) | (r30_bgjofpa = 2)) & (r30_bgbrw = 2, 3, 6))]

[The respondenten searched to find the profession.]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjobmo


Variable label: What was the name or title of your mother’s main occupation?
Literal question: What was your mother’s main occupation when you were fourteen years old? Enter the job title in the box below and select the correct occupation from the options that appear. If you can’t find the job title, you can try different variations of the title
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjof = 2) & ((r30_bgjpa = 3) | (r30_bgjofpa = 2)) & (r30_bgbrw = 2, 3, 6))]

[The respondenten searched to find the profession.]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjtimoo


Variable label: What was the name or title of your mother’s main occupation: Other
Literal question: What was the name or title of your mother’s main occupation?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjobmo_other is answered | r30_bgjobmo is not answered) & (r30_bgjof = 2) & ((r30_bgjpa = 3) | (r30_bgjofpa = 2)) & (r30_bgbrw = 2, 3, 6))]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_bgjwomoo


Variable label: What kind of work did your mother mainly do in her main occupation?
Literal question: What kind of work did your mother mainly do in her main occupation?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_bgjobmo_other is answered | r30_bgjobmo is not answered) & (r30_bgjof = 2) & ((r30_bgjpa = 3) | (r30_bgjofpa = 2)) & (r30_bgbrw = 2, 3, 6))]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_cpredx_ran1


Variable label: Experiment. Randomly selects textpiping in [r30_cpredx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 3 | r30_rangroup_gr6 = 6) | (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:4497] [Invalid:9012] [Range:1-2]

Value Label Cases Percentage
1 People from the big cities 2210 49.1% 0.4914387
2 National politicians and authorities in Oslo 2287 50.9% 0.5085613
Sysmiss 9012 NA


r30_cpredx_ran2


Variable label: Experiment. Randomly selects textpiping in [r30_cpredx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 3 | r30_rangroup_gr6 = 6) | (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:4497] [Invalid:9012] [Range:1-5]

Value Label Cases Percentage
1 people in 925 20.6% 0.2056927
2 culture and way of life in 915 20.3% 0.2034690
3 value creation and trade and industry in 888 19.7% 0.1974650
4 the need for good public services, such as schools, hospitals and police, in 868 19.3% 0.1930176
5 the cost of climate policy for 901 20.0% 0.2003558
Sysmiss 9012 NA


r30_cpredx


Variable label: Agree/disagree: [r30_cpredx_ran1] acknowledges [r30_cpredx_ran2] rural areas to an insufficient extent.
Literal question: To what extent do you agree or disagree with the following statement: [r30_cpredx_ran1] acknowledges [r30_cpredx_ran2] rural areas to an insufficient extent.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Asked if (r30_group = 3 | r30_rangroup_gr6 = 6) | (r30_group = 2 | r30_rangroup_gr6 = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 671 14.7% 0.14737536
2 Agree 1038 22.8% 0.22798155
3 Agree somewhat 1110 24.4% 0.24379530
4 Neither agree nor disagree 850 18.7% 0.18669009
5 Disagree somewhat 324 7.1% 0.07116187
6 Disagree 366 8.0% 0.08038656
7 Strongly disagree 117 2.6% 0.02569734
97 Not answered 77 1.7% 0.01691193
98 Not asked 8956 NA


r30_ce1stx_1


Variable label: Good/bad proposal: To prohibit the sale of new cars that emit CO2 [r30_ce1stx_ran1] from 2035 at the latest.
Pre-question text: How good or bad do you think the following proposal is?
Literal question: To prohibit the sale of new cars that emit CO2 [r30_ce1stx_ran1] from 2035 at the latest.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 1) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 3) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 4) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 2)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 226 11.6% 0.11595690
2 Good 335 17.2% 0.17188302
3 Fairly good 273 14.0% 0.14007183
4 Neither good nor bad 260 13.3% 0.13340174
5 Fairly bad 268 13.8% 0.13750641
6 Bad 262 13.4% 0.13442791
7 Very bad 295 15.1% 0.15135967
97 Not answered 30 1.5% 0.01539251
98 Not asked 11560 NA


r30_ce1stx_2


Variable label: Good/bad proposal: To introduce [r30_ce1stx_ran2] climate labelling for food [r30_ce1stx_pipe3] which shows that some foods have a higher climate impact than others.
Pre-question text: How good or bad do you think the following proposal is?
Literal question: To introduce [r30_ce1stx_ran2] climate labelling for food [r30_ce1stx_pipe3] which shows that some foods have a higher climate impact than others.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 1) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 3) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 4) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 2)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 339 17.4% 0.17393535
2 Good 565 29.0% 0.28989225
3 Fairly good 361 18.5% 0.18522319
4 Neither good nor bad 323 16.6% 0.16572601
5 Fairly bad 108 5.5% 0.05541303
6 Bad 140 7.2% 0.07183171
7 Very bad 84 4.3% 0.04309903
97 Not answered 29 1.5% 0.01487943
98 Not asked 11560 NA


r30_ce1stx_3


Variable label: Good/bad proposal: To develop more onshore wind power [r30_ce1stx_ran4].
Pre-question text: How good or bad do you think the following proposal is?
Literal question: To develop more onshore wind power [r30_ce1stx_ran4].
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 1) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 3) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 4) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 2)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 119 6.1% 0.06105695
2 Good 312 16.0% 0.16008209
3 Fairly good 363 18.6% 0.18624936
4 Neither good nor bad 217 11.1% 0.11133915
5 Fairly bad 245 12.6% 0.12570549
6 Bad 274 14.1% 0.14058492
7 Very bad 395 20.3% 0.20266803
97 Not answered 24 1.2% 0.01231401
98 Not asked 11560 NA


r30_ce1stx_4


Variable label: Good/bad proposal: To work towards increasing the installation of solar panels on houses[r30_ce1stx_ran5].
Pre-question text: How good or bad do you think the following proposal is?
Literal question: To work towards increasing the installation of solar panels on houses[r30_ce1stx_ran5].
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 1) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 3) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 4) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 2)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 490 25.1% 0.25141098
2 Good 638 32.7% 0.32734736
3 Fairly good 360 18.5% 0.18471011
4 Neither good nor bad 243 12.5% 0.12467932
5 Fairly bad 78 4.0% 0.04002052
6 Bad 65 3.3% 0.03335044
7 Very bad 46 2.4% 0.02360185
97 Not answered 29 1.5% 0.01487943
98 Not asked 11560 NA


r30_ce2ndx_1


Variable label: Percentage of Norwegians: To prohibit the sale of new cars that emit CO2 [r30_ce2ndx_pipe1] from 2035 at the latest.
Pre-question text: What percentage of Norwegians do you think consider this a good proposal?
Literal question: To prohibit the sale of new cars that emit CO2 [r30_ce2ndx_pipe1] from 2035 at the latest.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 2) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 3) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 4) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 1)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-100]



r30_ce2ndx_2


Variable label: Percentage of Norwegians: To introduce [r30_ce2ndx_pipe2] climate labelling for food [r30_ce2ndx_pipe3] which shows that some foods have a higher climate impact than others.
Pre-question text: What percentage of Norwegians do you think consider this a good proposal?
Literal question: To introduce [r30_ce2ndx_pipe2] climate labelling for food [r30_ce2ndx_pipe3] which shows that some foods have a higher climate impact than others.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 2) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 3) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 4) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 1)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-100]



r30_ce2ndx_3


Variable label: Percentage of Norwegians: To develop more onshore wind power [r30_ce2ndx_pipe4].
Pre-question text: What percentage of Norwegians do you think consider this a good proposal?
Literal question: To develop more onshore wind power [r30_ce2ndx_pipe4].
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 2) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 3) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 4) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 1)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-100]



r30_ce2ndx_4


Variable label: Percentage of Norwegians: To work towards increasing the installation of solar panels on houses[r30_ce2ndx_pipe5].
Pre-question text: What percentage of Norwegians do you think consider this a good proposal?
Literal question: To work towards increasing the installation of solar panels on houses[r30_ce2ndx_pipe5].
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 2) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 3) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 4) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 1)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-100]



r30_ceagrx


Variable label: Protect/change the agriculture industry from reducing emissions
Literal question: Currently, agriculture accounts for approximately 10 percent of greenhouse gas emissions in Norway and Europe. [r30_ceagrx_ran] On a scale from 0 to 10, where 0 means we should completely protect agriculture from changes aimed at reducing emissions, and 10 means we should significantly change agriculture to sufficiently reduce emissions, where do you stand?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 3) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 4) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 1) | (r30_group = 1) | (r30_ce1stx_ce2ndx_ranorder = 2)]

[The respondent answered using a slider.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-11]

Value Label Cases Percentage
0 0 - We should completely protect agriculture 109 5.6% 0.05592612
1 1 90 4.6% 0.04617753
2 2 141 7.2% 0.07234479
3 3 164 8.4% 0.08414572
4 4 126 6.5% 0.06464854
5 5 281 14.4% 0.14417650
6 6 199 10.2% 0.10210364
7 7 251 12.9% 0.12878399
8 8 227 11.6% 0.11646998
9 9 64 3.3% 0.03283735
10 10 - We should change agriculture significantly 126 6.5% 0.06464854
11 Don't know 143 7.3% 0.07337096
97 Not answered 28 1.4% 0.01436634
98 Not asked 11560 NA


r30_pcpar


Variable label: Would vote for which party if there were a parliamentary election tomorrow
Literal question: Which party would you vote for if there were a parliamentary election tomorrow?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[All respondents asked]

[Added recoded values from _other-variables]
Technical attributes: [Question type:Single] [Format:integer] [Valid:13509] [Invalid:0] [Range:-]

Value Label Cases Percentage
1 The Christian Democrats 401 3.0% 0.02968391
2 The Conservative Party 2799 20.7% 0.20719520
3 The Progress Party 1584 11.7% 0.11725516
4 The Liberal Party 892 6.6% 0.06603005
5 The Socialist Left Party 1595 11.8% 0.11806944
6 The Centre Party 435 3.2% 0.03220076
7 The Green Party 634 4.7% 0.04693168
8 The Labour Party 2222 16.4% 0.16448294
9 The Red Party 744 5.5% 0.05507439
10 The Industry and Business Party 292 2.2% 0.02161522
11 Would not vote 369 2.7% 0.02731512
12 Would cast a blank vote 578 4.3% 0.04278629
13 Not entitled to vote 223 1.7% 0.01650751
14 Other: 441 3.3% 0.03264490
97 Not answered 300 2.2% 0.02220742


r30_pcpar_14_other


Variable label: Would vote for which party if there were a parliamentary election tomorrow: Other
Pre-question text: Which party would you vote for if there were a parliamentary election tomorrow?
Literal question: Other:
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if (r30_group = 6 ) | (r30_group = 1) | (r30_group = 2, 3, 4, 5)]

[Answer list display order: Randomized]

[The order for the alternatives ‘Would not vote’, ‘Would cast a blank vote’, ‘Not entitled to vote’, and ‘Other’ was not randomized, but kept at the bottom after the other alternatives.]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Single - Other] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30_cegsdx_ran


Variable label: Experiment. Randomly selects version of [r30_cegsdx].
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:4516] [Invalid:8993] [Range:1-2]

Value Label Cases Percentage
1 Selects [r30_cegsdx1]. 2237 49.5% 0.4953499
2 Selects [r30_cegsdx2]. 2279 50.5% 0.5046501
Sysmiss 8993 NA


r30_cegsdx1_ran_1


Variable label: Experiment. Randomly selects 5 values for [r30_cegsdx1].
Literal question: Carry out a gradual, predictable and planned phasing out of the petroleum business by 2055
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2252] [Invalid:11257] [Range:1-1]

Value Label Cases Percentage
1 Selected 2252 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 11257 NA


r30_cegsdx1_ran_2


Variable label: Experiment. Randomly selects 5 values for [r30_cegsdx1].
Literal question: Do not allow development in protected watercourses, and consider protecting more watercourses
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2318] [Invalid:11191] [Range:1-1]

Value Label Cases Percentage
1 Selected 2318 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 11191 NA


r30_cegsdx1_ran_3


Variable label: Experiment. Randomly selects 5 values for [r30_cegsdx1].
Literal question: Prohibit all deconstruction of bogs
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2290] [Invalid:11219] [Range:1-1]

Value Label Cases Percentage
1 Selected 2290 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 11219 NA


r30_cegsdx1_ran_4


Variable label: Experiment. Randomly selects 5 values for [r30_cegsdx1].
Literal question: Take better care of wild salmon, for instance requiring escape-free and emission-free farming facilities in the sea
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2245] [Invalid:11264] [Range:1-1]

Value Label Cases Percentage
1 Selected 2245 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 11264 NA


r30_cegsdx1_ran_5


Variable label: Experiment. Randomly selects 5 values for [r30_cegsdx1].
Literal question: Pursue a very restrictive policy for wind power on land and and do not allow development in areas with untouched nature
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2286] [Invalid:11223] [Range:1-1]

Value Label Cases Percentage
1 Selected 2286 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 11223 NA


r30_cegsdx1_ran_6


Variable label: Experiment. Randomly selects 5 values for [r30_cegsdx1].
Literal question: Do not support electrification of oil platform with power from the shore
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2251] [Invalid:11258] [Range:1-1]

Value Label Cases Percentage
1 Selected 2251 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 11258 NA


r30_cegsdx1_ran_7


Variable label: Experiment. Randomly selects 5 values for [r30_cegsdx1].
Literal question: Cut emissions everywhere in society in Norway
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2222] [Invalid:11287] [Range:1-1]

Value Label Cases Percentage
1 Selected 2222 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 11287 NA


r30_cegsdx1_ran_8


Variable label: Experiment. Randomly selects 5 values for [r30_cegsdx1].
Literal question: Emphasize that climate- and environmental targets require us to gradually transform society
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2206] [Invalid:11303] [Range:1-1]

Value Label Cases Percentage
1 Selected 2206 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 11303 NA


r30_cegsdx1_ran_9


Variable label: Experiment. Randomly selects 5 values for [r30_cegsdx1].
Literal question: Emphasize that Norway must take international leadership in the fight against climate change, and show other countries that it is possible to achieve major emission reductions
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2243] [Invalid:11266] [Range:1-1]

Value Label Cases Percentage
1 Selected 2243 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 11266 NA


r30_cegsdx1_ran_10


Variable label: Experiment. Randomly selects 5 values for [r30_cegsdx1].
Literal question: Use all necessary means to reach the climate targets, but ensure that the costs are distributed fairly and do not increase social inequality in society.
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2267] [Invalid:11242] [Range:1-1]

Value Label Cases Percentage
1 Selected 2267 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 11242 NA


r30_cegsdx1_row_order


Variable label: Represents the row-wise order of the text values as they were displayed to the respondent in [r30_cegsdx1].
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type:Open] [Format:character] [Valid:2237] [Invalid:11272] [Range:-]



r30_cegsdx2_ran_1


Variable label: Experiment. Randomly selects 5 values for [r30_cegsdx2].
Literal question: Ensure stable and predictable framework conditions for the petroleum industry that provide activity throughout the country
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2252] [Invalid:11257] [Range:1-1]

Value Label Cases Percentage
1 Selected 2252 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 11257 NA


r30_cegsdx2_ran_2


Variable label: Experiment. Randomly selects 5 values for [r30_cegsdx2].
Literal question: Increase Norwegian hydropower production and allow gentle power development in protected watercourses
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2318] [Invalid:11191] [Range:1-1]

Value Label Cases Percentage
1 Selected 2318 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 11191 NA


r30_cegsdx2_ran_3


Variable label: Experiment. Randomly selects 5 values for [r30_cegsdx2].
Literal question: Prioritize road development to connect the country
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2290] [Invalid:11219] [Range:1-1]

Value Label Cases Percentage
1 Selected 2290 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 11219 NA


r30_cegsdx2_ran_4


Variable label: Experiment. Randomly selects 5 values for [r30_cegsdx2].
Literal question: Ensure sustainable growth and increased value creating in the fisheries and aquaculture industry
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2245] [Invalid:11264] [Range:1-1]

Value Label Cases Percentage
1 Selected 2245 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 11264 NA


r30_cegsdx2_ran_5


Variable label: Experiment. Randomly selects 5 values for [r30_cegsdx2].
Literal question: Allow wind power development in places where there are good wind conditions, and ensure local participation and that local communities get their share of the value creation
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2286] [Invalid:11223] [Range:1-1]

Value Label Cases Percentage
1 Selected 2286 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 11223 NA


r30_cegsdx2_ran_6


Variable label: Experiment. Randomly selects 5 values for [r30_cegsdx2].
Literal question:

Facilitate continued electrification of Norwegian offshore installations, but take into account the power situation on land

Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2251] [Invalid:11258] [Range:1-1]

Value Label Cases Percentage
1 Selected 2251 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 11258 NA


r30_cegsdx2_ran_7


Variable label: Experiment. Randomly selects 5 values for [r30_cegsdx2].
Literal question: Actively use carbon offsets abroad as part of emission reductions to ensure that cuts are made where they are cheapest
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2222] [Invalid:11287] [Range:1-1]

Value Label Cases Percentage
1 Selected 2222 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 11287 NA


r30_cegsdx2_ran_8


Variable label: Experiment. Randomly selects 5 values for [r30_cegsdx2].
Literal question: Emphasize that climate and environmental goals must primarily be achieved through technology development and continued economic growth within sustainable frameworks
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2206] [Invalid:11303] [Range:1-1]

Value Label Cases Percentage
1 Selected 2206 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 11303 NA


r30_cegsdx2_ran_9


Variable label: Experiment. Randomly selects 5 values for [r30_cegsdx2].
Literal question: Take advantage of the major international opportunities for Norwegian value creation that the climate transition creates, and ensure that Norway leads the way in international climate work in areas where we have an advantage and which can also contribute to activity and the creation of jobs
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2243] [Invalid:11266] [Range:1-1]

Value Label Cases Percentage
1 Selected 2243 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 11266 NA


r30_cegsdx2_ran_10


Variable label: Experiment. Randomly selects 5 values for [r30_cegsdx2].
Literal question: Do not use means in climate policy that have a moralizing effect or increase the cost of living for most people
Field period: 03.06.2024 - 04.07.2024
Technical description: [Randomized if (r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2267] [Invalid:11242] [Range:1-1]

Value Label Cases Percentage
1 Selected 2267 100.0% 1
0 Not selected 0 0.0% 0
Sysmiss 11242 NA


r30_cegsdx2_row_order


Variable label: Represents the row-wise order of the text values as they were displayed to the respondent in [r30_cegsdx2].
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type:Open] [Format:character] [Valid:2279] [Invalid:11230] [Range:-]



r30_cegsdx1


Variable label: Support of governmental platform for reducing emissions
Literal question:

Norway is committed to reducing greenhouse gas emissions and preserving biodiversity, both in international agreements and in the Climate Change Act. Governments must have a policy to achieve these goals. Imagine that a government presented the following platform in the climate and environment field. The government will:

Government platform: [r30_cegsdx1_ran_1] [r30_cegsdx1_ran_2] [r30_cegsdx1_ran_3] [r30_cegsdx1_ran_4] [r30_cegsdx1_ran_5] [r30_cegsdx1_ran_6] [r30_cegsdx1_ran_7] [r30_cegsdx1_ran_8] [r30_cegsdx1_ran_9] [r30_cegsdx1_ran_10]

…to what extent would you support this government platform?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)) & (r30_cegsdx_ran = 1)]

[The respondent was shown 5 bulletpoints which are part of a governmental platform in random order. The bulletpoints included is determined in [r30_cegsdx1_ran_1] - [r30_cegsdx1_ran_10]. The order of the bulletpoints is determined in [r30_cegsdx1_row_order].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 331 14.8% 0.147966026
2 A high degree 671 30.0% 0.299955297
3 Some degree 838 37.5% 0.374608851
4 A low degree 255 11.4% 0.113991954
5 Not at all 130 5.8% 0.058113545
97 Not answered 12 0.5% 0.005364327
98 Not asked 11272 NA


r30_cegsdx2


Variable label: Support of governmental platform for reducing emissions
Literal question:

Norway is committed to reducing greenhouse gas emissions and preserving biodiversity, both in international agreements and in the Climate Change Act. Governments must have a policy to achieve these goals. Imagine that a government presented the following platform in the climate and environment field. The government will:

Government platform: [r30_cegsdx2_ran_1] [r30_cegsdx2_ran_2] [r30_cegsdx2_ran_3] [r30_cegsdx2_ran_4] [r30_cegsdx2_ran_5] [r30_cegsdx2_ran_6] [r30_cegsdx2_ran_7] [r30_cegsdx2_ran_8] [r30_cegsdx2_ran_9] [r30_cegsdx2_ran_10]

…to what extent would you support this government platform?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)) & (r30_cegsdx_ran = 2)]

[The respondent was shown 5 bulletpoints which are part of a governmental platform in random order. The bulletpoints included is determined in [r30_cegsdx2_ran_1] - [r30_cegsdx2_ran_10]. The order of the bulletpoints is determined in [r30_cegsdx2_row_order].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 137 6.0% 0.060114085
2 A high degree 529 23.2% 0.232119351
3 Some degree 984 43.2% 0.431768319
4 A low degree 441 19.4% 0.193505924
5 Not at all 172 7.5% 0.075471698
97 Not answered 16 0.7% 0.007020623
98 Not asked 11230 NA


r30_cegsux1


Variable label: Choice of two governmental platforms
Literal question:

We would now like you to compare the government platform you saw in the previous question with another government platform in the climate and environment field.

Government platform A [r30_cegsdx1_ran_1] [r30_cegsdx1_ran_2] [r30_cegsdx1_ran_3] [r30_cegsdx1_ran_4] [r30_cegsdx1_ran_5] [r30_cegsdx1_ran_6] [r30_cegsdx1_ran_7] [r30_cegsdx1_ran_8] [r30_cegsdx1_ran_9] [r30_cegsdx1_ran_10]

Government platform B [r30_cegsdx2_ran_1] [r30_cegsdx2_ran_2] [r30_cegsdx2_ran_3] [r30_cegsdx2_ran_4] [r30_cegsdx2_ran_5] [r30_cegsdx2_ran_6] [r30_cegsdx2_ran_7] [r30_cegsdx2_ran_8] [r30_cegsdx2_ran_9] [r30_cegsdx2_ran_10]

If you had to choose between these two government platforms, which one would you support?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)) & (r30_cegsdx_ran = 1)]

[The respondent was shown 2 governmental platforms of 5 random bulletpoints in each platform. The bulletpoints for each platform are thematically linked with each other. bulletpoints which are part of governmental platform A is determined in [r30_cegsdx1_ran_1] - [r30_cegsdx1_ran_10]. bulletpoints which are part of governmental platform B is determined in [r30_cegsdx2_ran_1] - [r30_cegsdx2_ran_10]. The order of the bulletpoints is determined in [r30_cegsdx1_row_order].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Government platform A 1185 53.0% 0.52972731
2 Government platform B 998 44.6% 0.44613321
97 Not answered 54 2.4% 0.02413947
98 Not asked 11272 NA


r30_cegsux2


Variable label: Choice of two governmental platforms
Literal question:

We would now like you to compare the government platform you saw in the previous question with another government platform in the climate and environment field.

Government platform A [r30_cegsdx2_ran_1] [r30_cegsdx2_ran_2] [r30_cegsdx2_ran_3] [r30_cegsdx2_ran_4] [r30_cegsdx2_ran_5] [r30_cegsdx2_ran_6] [r30_cegsdx2_ran_7] [r30_cegsdx2_ran_8] [r30_cegsdx2_ran_9] [r30_cegsdx2_ran_10]

Government platform B [r30_cegsdx1_ran_1] [r30_cegsdx1_ran_2] [r30_cegsdx1_ran_3] [r30_cegsdx1_ran_4] [r30_cegsdx1_ran_5] [r30_cegsdx1_ran_6] [r30_cegsdx1_ran_7] [r30_cegsdx1_ran_8] [r30_cegsdx1_ran_9] [r30_cegsdx1_ran_10]

If you had to choose between these two government platforms, which one would you support?
Field period: 03.06.2024 - 04.07.2024
Technical description:

[Asked if ((r30_group = 2 | r30_rangroup_gr6 = 2) | (r30_group = 3 | r30_rangroup_gr6 = 6)) & (r30_cegsdx_ran = 2)]

[The respondent was shown 2 governmental platforms of 5 random bulletpoints in each platform. The bulletpoints for each platform are thematically linked with each other. bulletpoints which are part of governmental platform A is determined in [r30_cegsdx2_ran_1] - [r30_cegsdx2_ran_10]. bulletpoints which are part of governmental platform B is determined in [r30_cegsdx1_ran_1] - [r30_cegsdx1_ran_10]. The order of the bulletpoints is determined in [r30_cegsdx2_row_order].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Government platform A 1072 47.0% 0.47038175
2 Government platform B 1151 50.5% 0.50504607
97 Not answered 56 2.5% 0.02457218
98 Not asked 11230 NA


r30_avslutt


Variable label: Closing comments.
Field period: 03.06.2024 - 04.07.2024
Technical description:

[All respondents asked]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



r30P1


Variable label: Gender
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type: -] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Male 6775 50.2% 0.5015175
2 Female 6734 49.8% 0.4984825


r30P2


Variable label: Region
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type: -] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Oslo 2049 15.2% 0.15167666
2 Østlandet 4900 36.3% 0.36272115
3 Sørlandet 713 5.3% 0.05277963
4 Vestlandet 3697 27.4% 0.27366941
5 Trøndelag 1131 8.4% 0.08372196
6 Nord-Norge 1019 7.5% 0.07543119


r30P3


Variable label: County
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type: -] [Format:numeric] [Valid:13509] [Invalid:0] [Range:3-56]

Value Label Cases Percentage
3 Oslo 2049 15.2% 0.15167666
11 Rogaland 1293 9.6% 0.09571397
15 Møre og Romsdal 568 4.2% 0.04204604
18 Nordland 486 3.6% 0.03597602
31 Østfold 611 4.5% 0.04522911
32 Akershus 1889 14.0% 0.13983270
33 Buskerud 603 4.5% 0.04463691
34 Innlandet 790 5.8% 0.05847953
39 Vestfold 652 4.8% 0.04826412
40 Telemark 355 2.6% 0.02627878
42 Agder 713 5.3% 0.05277963
46 Vestland 1836 13.6% 0.13590939
50 Trøndelag 1131 8.4% 0.08372196
55 Troms 393 2.9% 0.02909172
56 Finnmark 140 1.0% 0.01036346


r30P3_2


Variable label: Constituencies parliament election 2021
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type: -] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-19]

Value Label Cases Percentage
3 Østfold 611 4.5% 0.04522911
1 Akershus 1876 13.9% 0.13887038
2 Oslo 2049 15.2% 0.15167666
5 Hedmark 407 3.0% 0.03012806
6 Oppland 383 2.8% 0.02835147
7 Buskerud 616 4.6% 0.04559923
4 Vestfold 652 4.8% 0.04826412
8 Telemark 355 2.6% 0.02627878
10 Aust-Agder 259 1.9% 0.01917240
9 Vest-Agder 454 3.4% 0.03360722
11 Rogaland 1293 9.6% 0.09571397
12 Hordaland 1610 11.9% 0.11917981
13 Sogn og Fjordane 226 1.7% 0.01672959
14 Møre og Romsdal 568 4.2% 0.04204604
16 Sør-Trøndelag 899 6.7% 0.06654823
15 Nord-Trøndelag 232 1.7% 0.01717374
17 Nordland 486 3.6% 0.03597602
18 Troms 393 2.9% 0.02909172
19 Finnmark 140 1.0% 0.01036346


r30P4_1


Variable label: Highest completed education
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type: -] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 No education/elementary school 695 5.1% 0.05144718
2 Upper secondary education 4584 33.9% 0.33932934
3 University/University college 7966 59.0% 0.58968095
97 Not answered 264 2.0% 0.01954253


r30P4_2


Variable label: Highest completed education
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type: -] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-12]

Value Label Cases Percentage
1 No completed education 50 0.4% 0.003701236
2 Primary and lower secondary school (completed either the first part of compulsory education (elementary school), primary and lower secondary school, 7-year elementary school, secondary modern school or lower secondary school) 645 4.8% 0.047745947
3 Secondary education-general studies/programme for general studies, one-year supplementary study for university and college admission certification (VK2, VG3, High School) 1758 13.0% 0.130135465
4 Secondary education-vocational line of study/education programme (VK2, VK3, VG3, apprenticeship examination, apprentices’ final exam ) 1728 12.8% 0.127914724
5 Diploma from supplementary programme for general university and college admissions certification (tertiary vocational education, vocational technical college) 1098 8.1% 0.081279147
6 University/College, less than 3 years, but at least 2 years (university college graduate 2 and 2½ years) 1070 7.9% 0.079206455
7 College-3-4 year education (Bachelor-, cand.mag., teacher training college, school of nursing, preschool teacher, engineer, business graduate, etc.) 2493 18.5% 0.184543638
8 University-3-4 year education (Bachelor, cand.mag.) 1017 7.5% 0.075283145
9 College-5-6 year education (Master, major) 900 6.7% 0.066622252
10 University 5-6 year education (Master, majors (longer professional education (MA in Theology., MA in Psychology., Doctor of Medicine, Doctor of Veterinary Medicine, chartered engineer, graduate in architecture, Master of Science in Business and Economic 2148 15.9% 0.159005108
11 Researcher level (Doctorate, Ph.d.) 338 2.5% 0.025020357
12 None of the above (please enter): 76 0.6% 0.005625879
97 Not answered 188 1.4% 0.013916648


r30P5_2


Variable label: Year of birth (condensed)
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type: -] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 1959 or earlier 4784 35.4% 0.3541343
2 1960-1989 5714 42.3% 0.4229773
3 1990 or later 3011 22.3% 0.2228884


r30P5_3


Variable label: Year of birth (expanded, from 1949)
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type: -] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1949 or earlier 1922 14.2% 0.14227552
2 1950-1959 2862 21.2% 0.21185876
3 1960-1969 2688 19.9% 0.19897846
4 1970-1979 1831 13.6% 0.13553927
5 1980-1989 1195 8.8% 0.08845955
6 1990-1999 1223 9.1% 0.09053224
7 2000 or later 1788 13.2% 0.13235621


r30_Weight4


Variable label: Weight based on variables P1, P2, P4_1 (Note! recoded to two-level: 1) upper secondary and lower, and 2) University/University college), and age.
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type: -] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-3]



r30_Weight4_stratapop


Variable label: Indicates the proportion size of strata in the population. Strata constructed with P1, P2, P4_1 (Note! recoded to two-level: 1) upper secondary and lower, and 2) University/University college), and age.
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type: -] [Format:numeric] [Valid:13245] [Invalid:264] [Range:0-0]



r30_generic_stratapop


Variable label: Indicates the proportion size of strata in the population. Strata constructed with P1, P2, and age.
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type: -] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-0]



r30_recBefore30_Weight4


Variable label: Weight calculated in the same way as Weight4, but only for respondents not recruited in wave 30. Use with caution and only if you have a population of respondents exclusively recruited before wave 30.
Field period: 03.06.2024 - 04.07.2024
Technical attributes: [Question type: -] [Format:numeric] [Valid:9933] [Invalid:3576] [Range:0-5]



c16_bgbfi_1


Variable label: I see myself as: Reserved
Pre-question text: How well do the following statements describe your personality? I see myself as someone who…
Literal question: …is reserved
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 15 and 16.

[Source variables: r15bfi10_1, r16bfi10_1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:6330] [Invalid:7179] [Range:1-5]

Value Label Cases Percentage
1 Disagree strongly 1115 18.7% 0.186579652
2 Disagree a little 1476 24.7% 0.246987952
3 Neither agree nor disagree 954 16.0% 0.159638554
4 Agree a little 2001 33.5% 0.334839357
5 Agree strongly 386 6.5% 0.064591700
97 Not answered 44 0.7% 0.007362784
98 Not asked 354 NA
Sysmiss 7179 NA


c16_bgbfi_2


Variable label: I see myself as: Generally trusting
Pre-question text: How well do the following statements describe your personality? I see myself as someone who…
Literal question: …is generally trusting
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 15 and 16.

[Source variables: r15bfi10_2, r16bfi10_2]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:6374] [Invalid:7135] [Range:1-5]

Value Label Cases Percentage
1 Disagree strongly 139 2.3% 0.02308970
2 Disagree a little 498 8.3% 0.08272425
3 Neither agree nor disagree 694 11.5% 0.11528239
4 Agree a little 2891 48.0% 0.48023256
5 Agree strongly 1754 29.1% 0.29136213
97 Not answered 44 0.7% 0.00730897
98 Not asked 354 NA
Sysmiss 7135 NA


c16_bgbfi_3


Variable label: I see myself as: Tends to be lazy
Pre-question text: How well do the following statements describe your personality? I see myself as someone who…
Literal question: …tends to be lazy
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 15 and 16.

[Source variables: r15bfi10_3, r16bfi10_3]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:6370] [Invalid:7139] [Range:1-5]

Value Label Cases Percentage
1 Disagree strongly 2060 34.2% 0.34242021
2 Disagree a little 1681 27.9% 0.27942154
3 Neither agree nor disagree 978 16.3% 0.16256649
4 Agree a little 1057 17.6% 0.17569814
5 Agree strongly 196 3.3% 0.03257979
97 Not answered 44 0.7% 0.00731383
98 Not asked 354 NA
Sysmiss 7139 NA


c16_bgbfi_4


Variable label: I see myself as: Relaxed, handles stress well
Pre-question text: How well do the following statements describe your personality? I see myself as someone who…
Literal question: … is relaxed, handles stress well
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 15 and 16.

[Source variables: r15bfi10_4, r16bfi10_4]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:6372] [Invalid:7137] [Range:1-5]

Value Label Cases Percentage
1 Disagree strongly 238 4.0% 0.039548023
2 Disagree a little 1086 18.0% 0.180458624
3 Neither agree nor disagree 979 16.3% 0.162678631
4 Agree a little 2482 41.2% 0.412429379
5 Agree strongly 1189 19.8% 0.197573945
97 Not answered 44 0.7% 0.007311399
98 Not asked 354 NA
Sysmiss 7137 NA


c16_bgbfi_5


Variable label: I see myself as: Has few artistic interests
Pre-question text: How well do the following statements describe your personality? I see myself as someone who…
Literal question: … has few artistic interests
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 15 and 16.

[Source variables: r15bfi10_5, r16bfi10_5]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:6370] [Invalid:7139] [Range:1-5]

Value Label Cases Percentage
1 Disagree strongly 1795 29.8% 0.29837101
2 Disagree a little 1902 31.6% 0.31615691
3 Neither agree nor disagree 937 15.6% 0.15575133
4 Agree a little 1018 16.9% 0.16921543
5 Agree strongly 320 5.3% 0.05319149
97 Not answered 44 0.7% 0.00731383
98 Not asked 354 NA
Sysmiss 7139 NA


c16_bgbfi_6


Variable label: I see myself as: Outgoing, sociable
Pre-question text: How well do the following statements describe your personality? I see myself as someone who…
Literal question: … is outgoing, sociable
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 15 and 16.

[Source variables: r15bfi10_6, r16bfi10_6]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:6386] [Invalid:7123] [Range:1-5]

Value Label Cases Percentage
1 Disagree strongly 261 4.3% 0.04326923
2 Disagree a little 938 15.6% 0.15550398
3 Neither agree nor disagree 967 16.0% 0.16031167
4 Agree a little 2245 37.2% 0.37218170
5 Agree strongly 1577 26.1% 0.26143899
97 Not answered 44 0.7% 0.00729443
98 Not asked 354 NA
Sysmiss 7123 NA


c16_bgbfi_7


Variable label: I see myself as: Tends to find fault with others
Pre-question text: How well do the following statements describe your personality? I see myself as someone who…
Literal question: … tends to find fault with others
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 15 and 16.

[Source variables: r15bfi10_7, r16bfi10_7]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:6377] [Invalid:7132] [Range:1-5]

Value Label Cases Percentage
1 Disagree strongly 1021 17.0% 0.16951685
2 Disagree a little 1811 30.1% 0.30068072
3 Neither agree nor disagree 1740 28.9% 0.28889258
4 Agree a little 1268 21.1% 0.21052632
5 Agree strongly 139 2.3% 0.02307820
97 Not answered 44 0.7% 0.00730533
98 Not asked 354 NA
Sysmiss 7132 NA


c16_bgbfi_8


Variable label: I see myself as: Does a thorough job
Pre-question text: How well do the following statements describe your personality? I see myself as someone who…
Literal question: … does a thorough job
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 15 and 16.

[Source variables: r15bfi10_8, r16bfi10_8]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:6379] [Invalid:7130] [Range:1-5]

Value Label Cases Percentage
1 Disagree strongly 81 1.3% 0.013443983
2 Disagree a little 113 1.9% 0.018755187
3 Neither agree nor disagree 519 8.6% 0.086141079
4 Agree a little 2487 41.3% 0.412780083
5 Agree strongly 2781 46.2% 0.461576763
97 Not answered 44 0.7% 0.007302905
98 Not asked 354 NA
Sysmiss 7130 NA


c16_bgbfi_9


Variable label: I see myself as: Get nervous easily
Pre-question text: How well do the following statements describe your personality? I see myself as someone who…
Literal question: … get nervous easily
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 15 and 16.

[Source variables: r15bfi10_9, r16bfi10_9]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:6374] [Invalid:7135] [Range:1-5]

Value Label Cases Percentage
1 Disagree strongly 1890 31.4% 0.31395349
2 Disagree a little 1772 29.4% 0.29435216
3 Neither agree nor disagree 1051 17.5% 0.17458472
4 Agree a little 1038 17.2% 0.17242525
5 Agree strongly 225 3.7% 0.03737542
97 Not answered 44 0.7% 0.00730897
98 Not asked 354 NA
Sysmiss 7135 NA


c16_bgbfi_10


Variable label: I see myself as: Has an active imagination
Pre-question text: How well do the following statements describe your personality? I see myself as someone who…
Literal question: … has an active imagination
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 15 and 16.

[Source variables: r15bfi10_10, r16bfi10_10]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:6376] [Invalid:7133] [Range:1-5]

Value Label Cases Percentage
1 Disagree strongly 389 6.5% 0.064596480
2 Disagree a little 823 13.7% 0.136665560
3 Neither agree nor disagree 1513 25.1% 0.251245433
4 Agree a little 2065 34.3% 0.342909332
5 Agree strongly 1188 19.7% 0.197276652
97 Not answered 44 0.7% 0.007306543
98 Not asked 354 NA
Sysmiss 7133 NA


c16_bgbfi_source


Variable label: Source for c16_bgbfi
Technical attributes: [Question type: -] [Format:character] [Valid:6415] [Invalid:7094] [Range:-]



c23_bgsdo_1


Variable label: Degree of support/opposition: An ideal society requires some groups to be on top and others to be on the bottom
Pre-question text: Indicate how strongly you support or oppose the following assertions by selecting a number from 1 to 7 on the scale. You can look through the assertions quickly, your first assessment is usually the best.
Literal question: An ideal society requires some groups to be on top and others to be on the bottom
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 17 and 23.

[Source variables: r17sdo7_1, r23sdo7_1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:8228] [Invalid:5281] [Range:1-7]

Value Label Cases Percentage
1 1 – Strongly oppose 2678 35.0% 0.350294310
2 2 – Somewhat oppose 1404 18.4% 0.183649444
3 3 – Slightly oppose 914 12.0% 0.119555265
4 4 - Neutral 993 13.0% 0.129888816
5 5 – Slightly favor 905 11.8% 0.118378025
6 6 – Somewhat favor 585 7.7% 0.076520602
7 7 – Strongly favor 138 1.8% 0.018051014
97 Not answered 28 0.4% 0.003662525
98 Not asked 583 NA
Sysmiss 5281 NA


c23_bgsdo_2


Variable label: Degree of support/opposition: Some groups of people are simply inferior to other groups
Pre-question text: Indicate how strongly you support or oppose the following assertions by selecting a number from 1 to 7 on the scale. You can look through the assertions quickly, your first assessment is usually the best.
Literal question: Some groups of people are simply inferior to other groups
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 17 and 23.

[Source variables: r17sdo7_2, r23sdo7_2]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:8228] [Invalid:5281] [Range:1-7]

Value Label Cases Percentage
1 1 – Strongly oppose 4685 61.3% 0.612818836
2 2 – Somewhat oppose 847 11.1% 0.110791367
3 3 – Slightly oppose 417 5.5% 0.054545455
4 4 - Neutral 840 11.0% 0.109875736
5 5 – Slightly favor 501 6.6% 0.065533028
6 6 – Somewhat favor 249 3.3% 0.032570307
7 7 – Strongly favor 78 1.0% 0.010202747
97 Not answered 28 0.4% 0.003662525
98 Not asked 583 NA
Sysmiss 5281 NA


c23_bgsdo_3


Variable label: Degree of support/opposition: No one group should dominate in society.
Pre-question text: Indicate how strongly you support or oppose the following assertions by selecting a number from 1 to 7 on the scale. You can look through the assertions quickly, your first assessment is usually the best.
Literal question: No one group should dominate in society.
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 17 and 23.

[Source variables: r17sdo7_3, r23sdo7_3]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:8231] [Invalid:5278] [Range:1-7]

Value Label Cases Percentage
1 1 – Strongly oppose 431 5.6% 0.056354603
2 2 – Somewhat oppose 347 4.5% 0.045371339
3 3 – Slightly oppose 406 5.3% 0.053085774
4 4 - Neutral 776 10.1% 0.101464435
5 5 – Slightly favor 717 9.4% 0.093750000
6 6 – Somewhat favor 1540 20.1% 0.201359833
7 7 – Strongly favor 3403 44.5% 0.444952929
97 Not answered 28 0.4% 0.003661088
98 Not asked 583 NA
Sysmiss 5278 NA


c23_bgsdo_4


Variable label: Degree of support/opposition: Groups at the bottom are just as deserving as groups at the top.
Pre-question text: Indicate how strongly you support or oppose the following assertions by selecting a number from 1 to 7 on the scale. You can look through the assertions quickly, your first assessment is usually the best.
Literal question: Groups at the bottom are just as deserving as groups at the top.
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 17 and 23.

[Source variables: r17sdo7_4, r23sdo7_4]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:8211] [Invalid:5298] [Range:1-7]

Value Label Cases Percentage
1 1 – Strongly oppose 331 4.3% 0.043392764
2 2 – Somewhat oppose 562 7.4% 0.073675931
3 3 – Slightly oppose 761 10.0% 0.099764027
4 4 - Neutral 1045 13.7% 0.136995281
5 5 – Slightly favor 845 11.1% 0.110776088
6 6 – Somewhat favor 1638 21.5% 0.214735186
7 7 – Strongly favor 2418 31.7% 0.316990037
97 Not answered 28 0.4% 0.003670687
98 Not asked 583 NA
Sysmiss 5298 NA


c23_bgsdo_5


Variable label: Degree of support/opposition: Equality between groups should not be our main goal.
Pre-question text: Indicate how strongly you support or oppose the following assertions by selecting a number from 1 to 7 on the scale. You can look through the assertions quickly, your first assessment is usually the best.
Literal question: Equality between groups should not be our main goal.
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 17 and 23.

[Source variables: r17sdo7_5, r23sdo7_5]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:8215] [Invalid:5294] [Range:1-7]

Value Label Cases Percentage
1 1 – Strongly oppose 1566 20.5% 0.205188679
2 2 – Somewhat oppose 1622 21.3% 0.212526205
3 3 – Slightly oppose 866 11.3% 0.113469602
4 4 - Neutral 1294 17.0% 0.169549266
5 5 – Slightly favor 1058 13.9% 0.138626834
6 6 – Somewhat favor 774 10.1% 0.101415094
7 7 – Strongly favor 424 5.6% 0.055555556
97 Not answered 28 0.4% 0.003668763
98 Not asked 583 NA
Sysmiss 5294 NA


c23_bgsdo_6


Variable label: Degree of support/opposition: It is unjust to try to make groups equal.
Pre-question text: Indicate how strongly you support or oppose the following assertions by selecting a number from 1 to 7 on the scale. You can look through the assertions quickly, your first assessment is usually the best.
Literal question: It is unjust to try to make groups equal.
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 17 and 23.

[Source variables: r17sdo7_6, r23sdo7_6]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:8195] [Invalid:5314] [Range:1-7]

Value Label Cases Percentage
1 1 – Strongly oppose 1788 23.5% 0.234892275
2 2 – Somewhat oppose 1382 18.2% 0.181555439
3 3 – Slightly oppose 856 11.2% 0.112454020
4 4 - Neutral 1619 21.3% 0.212690489
5 5 – Slightly favor 960 12.6% 0.126116658
6 6 – Somewhat favor 675 8.9% 0.088675775
7 7 – Strongly favor 304 4.0% 0.039936942
97 Not answered 28 0.4% 0.003678403
98 Not asked 583 NA
Sysmiss 5314 NA


c23_bgsdo_7


Variable label: Degree of support/opposition: We should do what we can to equalize conditions for different groups.
Pre-question text: Indicate how strongly you support or oppose the following assertions by selecting a number from 1 to 7 on the scale. You can look through the assertions quickly, your first assessment is usually the best.
Literal question: We should do what we can to equalize conditions for different groups.
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 17 and 23.

[Source variables: r17sdo7_7, r23sdo7_7]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:8222] [Invalid:5287] [Range:1-7]

Value Label Cases Percentage
1 1 – Strongly oppose 75 1.0% 0.009818039
2 2 – Somewhat oppose 212 2.8% 0.027752324
3 3 – Slightly oppose 385 5.0% 0.050399267
4 4 - Neutral 745 9.8% 0.097525854
5 5 – Slightly favor 1353 17.7% 0.177117424
6 6 – Somewhat favor 1866 24.4% 0.244272811
7 7 – Strongly favor 2975 38.9% 0.389448881
97 Not answered 28 0.4% 0.003665401
98 Not asked 583 NA
Sysmiss 5287 NA


c23_bgsdo_8


Variable label: Degree of support/opposition: We should work to give all groups an equal chance to succeed.
Pre-question text: Indicate how strongly you support or oppose the following assertions by selecting a number from 1 to 7 on the scale. You can look through the assertions quickly, your first assessment is usually the best.
Literal question: We should work to give all groups an equal chance to succeed.
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 17 and 23.

[Source variables: r17sdo7_8, r23sdo7_8]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:8237] [Invalid:5272] [Range:1-7]

Value Label Cases Percentage
1 1 – Strongly oppose 37 0.5% 0.004834074
2 2 – Somewhat oppose 35 0.5% 0.004572772
3 3 – Slightly oppose 62 0.8% 0.008100340
4 4 - Neutral 326 4.3% 0.042592109
5 5 – Slightly favor 678 8.9% 0.088581134
6 6 – Somewhat favor 1533 20.0% 0.200287431
7 7 – Strongly favor 4955 64.7% 0.647373922
97 Not answered 28 0.4% 0.003658218
98 Not asked 583 NA
Sysmiss 5272 NA


c23_bgsdo_source


Variable label: Source for c23_bgsdo
Technical attributes: [Question type: -] [Format:character] [Valid:8256] [Invalid:5253] [Range:-]



c25_bgtiv_1


Variable label: Resembles you: Respect for parents and for older people is important
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question: [He/She] believes that [he/she] should always show respect for [him/her] parents and for older people. It’s important to [his/hers] to be obedient.
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 11, 17, 21, 22 and 25.

[Source variables: r11bktivi_1, r17bktivi_1, r21bktivi_1, r22bktivi_1, r25_bgtiv_1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:9702] [Invalid:3807] [Range:1-6]

Value Label Cases Percentage
6 6 Very much resembles me 646 7.2% 0.071841637
5 5 Resembles me 1989 22.1% 0.221196619
4 4 Somewhat resembles me 3409 37.9% 0.379114769
3 3 Slightly resembles me 1745 19.4% 0.194061388
2 2 Does not resemble me 827 9.2% 0.091970641
1 1 Does not resemble me at all 331 3.7% 0.036810498
97 Not answered 45 0.5% 0.005004448
98 Not asked 710 NA
Sysmiss 3807 NA


c25_bgtiv_2


Variable label: Resembles you: Religious faith is important
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question: Religious faith is important to [him/her]. [He/She] endeavours to do what [him/her] religion requires.
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 11, 17, 21, 22 and 25.

[Source variables: r11bktivi_2, r17bktivi_2, r21bktivi_2, r22bktivi_2, r25_bgtiv_2]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:9714] [Invalid:3795] [Range:1-6]

Value Label Cases Percentage
6 6 Very much resembles me 159 1.8% 0.017658818
5 5 Resembles me 332 3.7% 0.036872501
4 4 Somewhat resembles me 810 9.0% 0.089960018
3 3 Slightly resembles me 1138 12.6% 0.126388272
2 2 Does not resemble me 1791 19.9% 0.198911595
1 1 Does not resemble me at all 4729 52.5% 0.525211017
97 Not answered 45 0.5% 0.004997779
98 Not asked 710 NA
Sysmiss 3795 NA


c25_bgtiv_3


Variable label: Resembles you: To help people around you is important
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question: It’s very important to [him/her] to help the people around him. [He/She] wants to do something to make sure they are doing well.
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 11, 17, 21, 22 and 25.

[Source variables: r11bktivi_3, r17bktivi_3, r21bktivi_3, r22bktivi_3, r25_bgtiv_3]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:9706] [Invalid:3803] [Range:1-6]

Value Label Cases Percentage
6 6 Very much resembles me 1522 16.9% 0.169186305
5 5 Resembles me 3388 37.7% 0.376611827
4 4 Somewhat resembles me 3385 37.6% 0.376278346
3 3 Slightly resembles me 541 6.0% 0.060137839
2 2 Does not resemble me 96 1.1% 0.010671410
1 1 Does not resemble me at all 19 0.2% 0.002112050
97 Not answered 45 0.5% 0.005002223
98 Not asked 710 NA
Sysmiss 3803 NA


c25_bgtiv_4


Variable label: Resembles you: To have all people in the world be treated equally is important
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question: [He/She] thinks it’s important that all people in the world be treated equally. [He/She] thinks everyone should have equal opportunities in life.
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 11, 17, 21, 22 and 25.

[Source variables: r11bktivi_4, r17bktivi_4, r21bktivi_4, r22bktivi_4, r25_bgtiv_4]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:9714] [Invalid:3795] [Range:1-6]

Value Label Cases Percentage
6 6 Very much resembles me 2311 25.7% 0.256663705
5 5 Resembles me 3358 37.3% 0.372945358
4 4 Somewhat resembles me 2465 27.4% 0.273767215
3 3 Slightly resembles me 546 6.1% 0.060639716
2 2 Does not resemble me 214 2.4% 0.023767215
1 1 Does not resemble me at all 65 0.7% 0.007219014
97 Not answered 45 0.5% 0.004997779
98 Not asked 710 NA
Sysmiss 3795 NA


c25_bgtiv_5


Variable label: Resembles you: To be interested in things and to be curious is important
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question: [He/She] thinks it’s important to be interested in things. [He/She] likes to be curious and tries to understand all sorts of issues.
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 11, 17, 21, 22 and 25.

[Source variables: r11bktivi_5, r17bktivi_5, r21bktivi_5, r22bktivi_5, r25_bgtiv_5]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:9710] [Invalid:3799] [Range:1-6]

Value Label Cases Percentage
6 6 Very much resembles me 1858 20.6% 0.206444444
5 5 Resembles me 3158 35.1% 0.350888889
4 4 Somewhat resembles me 3033 33.7% 0.337000000
3 3 Slightly resembles me 720 8.0% 0.080000000
2 2 Does not resemble me 153 1.7% 0.017000000
1 1 Does not resemble me at all 33 0.4% 0.003666667
97 Not answered 45 0.5% 0.005000000
98 Not asked 710 NA
Sysmiss 3799 NA


c25_bgtiv_6


Variable label: Resembles you: To take risks and look for new experiences is important
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question: [He/She] likes to take risks. [He/She]’s always looking for new experiences.
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 11, 17, 21, 22 and 25.

[Source variables: r11bktivi_6, r17bktivi_6, r21bktivi_6, r22bktivi_6, r25_bgtiv_6]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:9711] [Invalid:3798] [Range:1-6]

Value Label Cases Percentage
6 6 Very much resembles me 159 1.8% 0.017664704
5 5 Resembles me 661 7.3% 0.073436285
4 4 Somewhat resembles me 2237 24.9% 0.248527941
3 3 Slightly resembles me 3049 33.9% 0.338740140
2 2 Does not resemble me 1950 21.7% 0.216642595
1 1 Does not resemble me at all 900 10.0% 0.099988890
97 Not answered 45 0.5% 0.004999445
98 Not asked 710 NA
Sysmiss 3798 NA


c25_bgtiv_7


Variable label: Resembles you: To seek out opportunites to have fun is important
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question: [He/She] seeks out any opportunity to have fun. It is important for [his/hers] to do things that give [his/hers] pleasure.
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 11, 17, 21, 22 and 25.

[Source variables: r11bktivi_7, r17bktivi_7, r21bktivi_7, r22bktivi_7, r25_bgtiv_7]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:9714] [Invalid:3795] [Range:1-6]

Value Label Cases Percentage
6 6 Very much resembles me 273 3.0% 0.030319858
5 5 Resembles me 1089 12.1% 0.120946246
4 4 Somewhat resembles me 3316 36.8% 0.368280764
3 3 Slightly resembles me 2764 30.7% 0.306974678
2 2 Does not resemble me 1156 12.8% 0.128387383
1 1 Does not resemble me at all 361 4.0% 0.040093292
97 Not answered 45 0.5% 0.004997779
98 Not asked 710 NA
Sysmiss 3795 NA


c25_bgtiv_8


Variable label: Resembles you: To be sucessful and to impress other people is important
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question: It’s important to [him/her] to be successful. [He/She] likes to impress other people.
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 11, 17, 21, 22 and 25.

[Source variables: r11bktivi_8, r17bktivi_8, r21bktivi_8, r22bktivi_8, r25_bgtiv_8]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:9712] [Invalid:3797] [Range:1-6]

Value Label Cases Percentage
6 6 Very much resembles me 141 1.6% 0.015663186
5 5 Resembles me 657 7.3% 0.072983781
4 4 Somewhat resembles me 2205 24.5% 0.244945568
3 3 Slightly resembles me 3027 33.6% 0.336258609
2 2 Does not resemble me 1918 21.3% 0.213063764
1 1 Does not resemble me at all 1009 11.2% 0.112086203
97 Not answered 45 0.5% 0.004998889
98 Not asked 710 NA
Sysmiss 3797 NA


c25_bgtiv_9


Variable label: Resembles you: To take the lead and tell others what to do is important
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question: It’s important for [him/her] to take the lead and tell others what to do. [He/She] wants people to do as he says.
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 11, 17, 21, 22 and 25.

[Source variables: r11bktivi_9, r17bktivi_9, r21bktivi_9, r22bktivi_9, r25_bgtiv_9]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:9715] [Invalid:3794] [Range:1-6]

Value Label Cases Percentage
6 6 Very much resembles me 80 0.9% 0.008883953
5 5 Resembles me 570 6.3% 0.063298168
4 4 Somewhat resembles me 2403 26.7% 0.266851749
3 3 Slightly resembles me 2894 32.1% 0.321377013
2 2 Does not resemble me 1983 22.0% 0.220210994
1 1 Does not resemble me at all 1030 11.4% 0.114380900
97 Not answered 45 0.5% 0.004997224
98 Not asked 710 NA
Sysmiss 3794 NA


c25_bgtiv_10


Variable label: Resembles you: To have things tidy and clean is important
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question: It’s important to [him/her] that things are tidy and clean. [He/She] really doesn’t like things to be messy.
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 11, 17, 21, 22 and 25.

[Source variables: r11bktivi_10, r17bktivi_10, r21bktivi_10, r22bktivi_10, r25_bgtiv_10]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:9717] [Invalid:3792] [Range:1-6]

Value Label Cases Percentage
6 6 Very much resembles me 1238 13.7% 0.137448651
5 5 Resembles me 2510 27.9% 0.278672144
4 4 Somewhat resembles me 3234 35.9% 0.359054069
3 3 Slightly resembles me 1313 14.6% 0.145775508
2 2 Does not resemble me 513 5.7% 0.056955701
1 1 Does not resemble me at all 154 1.7% 0.017097813
97 Not answered 45 0.5% 0.004996114
98 Not asked 710 NA
Sysmiss 3792 NA


c25_bgtiv_source


Variable label: Source for c25_bgtiv
Technical attributes: [Question type: -] [Format:character] [Valid:9738] [Invalid:3771] [Range:-]



c25_pcvot21


Variable label: Which party did you vote for in the previous parliamentary elections in 2021
Literal question: Which party did you vote for in the previous parliamentary elections in 2021
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in r22 and r25, for the 2021 parliamentary election.

Text from the “other”-field has been coded into the response categories where possible.

[Source variables: r22k3_kodet, r25_pcvot21]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:9427] [Invalid:4082] [Range:1-13]

Value Label Cases Percentage
1 The Christian Democrats 319 3.6% 0.035738293
2 The Conservative Party 1747 19.6% 0.195720367
3 The Progress Party 608 6.8% 0.068115617
4 The Liberal Party 440 4.9% 0.049294197
5 The Socialist Left Party 887 9.9% 0.099372619
6 The Centre Party 919 10.3% 0.102957652
7 The Green Party 503 5.6% 0.056352229
8 The Labour Party 2088 23.4% 0.233923370
9 The Red Party 590 6.6% 0.066099037
10 Other: 243 2.7% 0.027223840
11 Did not vote 188 2.1% 0.021062066
12 Not entitled to vote 314 3.5% 0.035178131
13 Voted blank 45 0.5% 0.005041452
97 Not answered 35 0.4% 0.003921129
98 Not asked 501 NA
Sysmiss 4082 NA


c25_pcvot21_source


Variable label: Source for c25_pcvot21
Technical attributes: [Question type: -] [Format:character] [Valid:9427] [Invalid:4082] [Range:-]



c26_bginc


Variable label: Gross annual income
Literal question: What is your current income? Gross annual income is:
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked this way in r8, most recently in r26. Most respondents have values from the last year, but it is possible to have values back to r8. You can filter using the source-variable if you only want respondents with the newer values. If you only want to use newest data, use r29_bginc_v2. If you want data on as many as possible, recode and combine c26_bginc with r29_bginc_v2

[Source variables: r8k25, r9k25, r11bk25, r14bk25, r16bk25, r18bk25, r20bk25, r22bk25, r23bk25, r25_bginc, r26k2_bginc]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:9880] [Invalid:3629] [Range:1-8]

Value Label Cases Percentage
1 Less than 150 000 284 2.9% 0.028829560
2 150 001 - 300 000 996 10.1% 0.101106487
3 300 001 - 400 000 1427 14.5% 0.144858390
4 400 001 - 500 000 1512 15.3% 0.153486956
5 500 001 - 600 000 1428 14.5% 0.144959903
6 600 001 - 700 000 1409 14.3% 0.143031164
7 700 001 - 1 000 000 1788 18.2% 0.181504416
8 More than 1 000000 937 9.5% 0.095117247
97 Not answered 70 0.7% 0.007105878
98 Not asked 29 NA
Sysmiss 3629 NA


c26_bginc_source


Variable label: Source for c26_bginc
Technical attributes: [Question type: -] [Format:character] [Valid:9880] [Invalid:3629] [Range:-]



c26_pcepe


Variable label: How much would you say the political system in Norway allows people like you to have a say in what the government does?
Literal question: How much would you say the political system in Norway allows people like you to have a say in what the government does?
Technical description:

Combined variable. Each respondent has been asked this question at least once, some have been asked several times, first in r8, most recently in r26. Here you will find the respondent’s most recent value. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r8k13, r10kmini13, r14pk13, r17pk13, r20pk13, r23pk13, r26_pcepe]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:9653] [Invalid:3856] [Range:1-5]

Value Label Cases Percentage
1 To a very great extent 84 0.9% 0.009142360
2 To a great extent 1115 12.1% 0.121353940
3 Somewhat 4054 44.1% 0.441227688
4 Slightly 3146 34.2% 0.342403135
5 Not at all 750 8.2% 0.081628211
97 Not answered 39 0.4% 0.004244667
98 Not asked 465 NA
Sysmiss 3856 NA


c26_pcepe_source


Variable label: Source for c26_pcepe
Technical attributes: [Question type: -] [Format:character] [Valid:9653] [Invalid:3856] [Range:-]



c26_pcipe


Variable label: Agree/disagree: Sometimes politics is so complicated that people like me do not understand what it’s about.
Literal question:

To what extent do you agree or disagree with the following statement:

Sometimes politics is so complicated that people like me do not understand what it’s about.
Technical description:

Combined variable. Each respondent has been asked this question at least once, some have been asked several times. The question was first asked in r1, most recently in r26. Here you will find the respondent’s most recent value. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: w01_k14_1, w03_r3k14_1, r8k14, r14pk14, r17pk14, r20pk14, r23pk14, r26_pcipe]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:9712] [Invalid:3797] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 331 3.5% 0.035167871
2 Agree 955 10.1% 0.101466213
3 Agree somewhat 2646 28.1% 0.281130472
4 Neither agree nor disagree 870 9.2% 0.092435189
5 Disagree somewhat 1238 13.2% 0.131534212
6 Disagree 2427 25.8% 0.257862303
7 Strongly disagree 922 9.8% 0.097960051
97 Not answered 23 0.2% 0.002443689
98 Not asked 300 NA
Sysmiss 3797 NA


c26_pcipe_source


Variable label: Source for c26_pcipe
Technical attributes: [Question type: -] [Format:character] [Valid:9712] [Invalid:3797] [Range:-]



c26_pcsal


Variable label: How satisfied are you with life
Literal question: All in all, how satisfied are you with life?
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r11, most recently in r26. Most respondents have values from the last two years, but it is possible to have values back to r11. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r11pktilfreds1, r14pktilfreds1, r17pktilfreds1, r18pktilfreds1, ft1covid14, r20pktilfreds1, r22pktilfreds1, r23pktilfreds1, r26_pcsal]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:9760] [Invalid:3749] [Range:1-5]

Value Label Cases Percentage
1 Very satisfied 2641 27.2% 0.2715681234
2 Satisfied 5618 57.8% 0.5776863753
3 Somewhat satisfied 1163 12.0% 0.1195886889
4 Dissatisfied 255 2.6% 0.0262210797
5 Not satisfied at all 46 0.5% 0.0047300771
97 Not answered 2 0.0% 0.0002056555
98 Not asked 35 NA
Sysmiss 3749 NA


c26_pcsal_source


Variable label: Source for c26_pcsal
Technical attributes: [Question type: -] [Format:character] [Valid:9760] [Invalid:3749] [Range:-]



c27_bgoil


Variable label: [Do/did] you work in the oil or gas industry, or is your job closely associated with it?
Literal question: [Do/did] you work in the oil or gas industry, or is your job closely associated with it?
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked this way in r9, most recently in r27. Most respondents have values from the last year, but it is possible to have values back to r9. You can filter using the source-variable if you only want respondents with the newer values. It can also be relevant to combine with c29_bgind_20.

[Source variables: r9k24a, r12arbeidolje_1, r15arbeidolje1, r16arbeidolje1, r26_bgoil, r27_bgoil]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:9589] [Invalid:3920] [Range:1-5]

Value Label Cases Percentage
1 Yes, I [work/worked] in the oil or gas industry 344 4.1% 0.0414208308
2 Yes, my job [is/was] closely associated with the oil or gas industry 316 3.8% 0.0380493679
3 No, but previously I have worked in the oil/gas industry, or have been closely associated with it 234 2.8% 0.0281757977
4 No 7389 89.0% 0.8897049970
97 Not answered 21 0.3% 0.0025285972
98 Not asked 1284 NA
5 1 0.0% 0.0001204094
Sysmiss 3920 NA


c27_bgoil_source


Variable label: Source for c27_bgoil
Technical attributes: [Question type: -] [Format:character] [Valid:9589] [Invalid:3920] [Range:-]



c27_bgoily


Variable label: When did you start your first job in the oil or gas industry?
Literal question:

When did you start your first job in the oil or gas industry (or your first job closely associated with the oil and gas industry)?

Enter the approximate year as best you can remember.
Technical description: [Source variables: r26_bgoily, r27_bgoily]
Technical attributes: [Question type:Open] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]

Value Label Cases Percentage
Sysmiss 13509 NA


c27_bgoily_decade


Variable label: Recoded version of [c27_bgoily].
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked this way in r12, most recently in r27. Most respondents have values from the last year, but it is possible to have values back to r12. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r12arbeidolje_2_1, r15_arbeidolje2, r16_arbeidolje2, r26_bgoily, r27_bgoily_decade]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:6635] [Invalid:6874] [Range:1-7]

Value Label Cases Percentage
1 1960 - 1969 10 1.2% 0.01150748
2 1970 - 1979 144 16.6% 0.16570771
3 1980 - 1989 247 28.4% 0.28423475
4 1990 - 1999 190 21.9% 0.21864212
5 2000 - 2009 172 19.8% 0.19792865
6 2010 - 2019 91 10.5% 0.10471807
7 2020 or later 10 1.2% 0.01150748
97 Not answered 5 0.6% 0.00575374
98 Not asked 5766 NA
Sysmiss 6874 NA


c27_bgoily_decade_source


Variable label: Source for c27_bgoily_decade
Technical attributes: [Question type: -] [Format:character] [Valid:6635] [Invalid:6874] [Range:-]



c29_bgind_1


Variable label: What industry [do/did] you (your company) work in: Public central administration
Pre-question text: What industry [do/did] you (your company) work in?
Literal question: Public central administration
Post-question: It is possible to select up to three answers.
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r6k34_1, r8k34_1, r9k34_1, r27_bgind_1, r29_bgind_1]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:9255] [Invalid:4254] [Range:0-1]

Value Label Cases Percentage
1 Selected 766 8.7% 0.0866711926
0 Not selected 8070 91.3% 0.9131025119
97 Not answered 2 0.0% 0.0002262955
98 Not asked 417 NA
Sysmiss 4254 NA


c29_bgind_2


Variable label: What industry [do/did] you (your company) work in: Kindergarten/school/teaching
Pre-question text: What industry [do/did] you (your company) work in?
Literal question: Kindergarten/school/teaching
Post-question: It is possible to select up to three answers.
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r6k34_2, r8k34_2, r9k34_2, r27_bgind_2, r29_bgind_2]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:9255] [Invalid:4254] [Range:0-1]

Value Label Cases Percentage
1 Selected 1462 16.5% 0.1654220412
0 Not selected 7374 83.4% 0.8343516633
97 Not answered 2 0.0% 0.0002262955
98 Not asked 417 NA
Sysmiss 4254 NA


c29_bgind_3


Variable label: What industry [do/did] you (your company) work in: Health services
Pre-question text: What industry [do/did] you (your company) work in?
Literal question: Health services
Post-question: It is possible to select up to three answers.
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r6k34_3, r8k34_3, r9k34_3, r27_bgind_3, r29_bgind_3]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:9255] [Invalid:4254] [Range:0-1]

Value Label Cases Percentage
1 Selected 1123 12.7% 0.1270649468
0 Not selected 7713 87.3% 0.8727087576
97 Not answered 2 0.0% 0.0002262955
98 Not asked 417 NA
Sysmiss 4254 NA


c29_bgind_4


Variable label: What industry [do/did] you (your company) work in: Social services/child protection
Pre-question text: What industry [do/did] you (your company) work in?
Literal question: Social services/child protection
Post-question: It is possible to select up to three answers.
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r6k34_4, r8k34_4, r9k34_4, r27_bgind_4, r29_bgind_4]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:9255] [Invalid:4254] [Range:0-1]

Value Label Cases Percentage
1 Selected 203 2.3% 0.0229689975
0 Not selected 8633 97.7% 0.9768047069
97 Not answered 2 0.0% 0.0002262955
98 Not asked 417 NA
Sysmiss 4254 NA


c29_bgind_5


Variable label: What industry [do/did] you (your company) work in: Nursing and care services
Pre-question text: What industry [do/did] you (your company) work in?
Literal question: Nursing and care services
Post-question: It is possible to select up to three answers.
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r6k34_5, r8k34_5, r9k34_5, r27_bgind_5, r29_bgind_5]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:9255] [Invalid:4254] [Range:0-1]

Value Label Cases Percentage
1 Selected 418 4.7% 0.0472957683
0 Not selected 8418 95.2% 0.9524779362
97 Not answered 2 0.0% 0.0002262955
98 Not asked 417 NA
Sysmiss 4254 NA


c29_bgind_6


Variable label: What industry [do/did] you (your company) work in: Defence/police/judicial system/security
Pre-question text: What industry [do/did] you (your company) work in?
Literal question: Defence/police/judicial system/security
Post-question: It is possible to select up to three answers.
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r6k34_6, r8k34_6, r9k34_6, r27_bgind_6, r29_bgind_6]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:9255] [Invalid:4254] [Range:0-1]

Value Label Cases Percentage
1 Selected 310 3.5% 0.0350758090
0 Not selected 8526 96.5% 0.9646978955
97 Not answered 2 0.0% 0.0002262955
98 Not asked 417 NA
Sysmiss 4254 NA


c29_bgind_7


Variable label: What industry [do/did] you (your company) work in: Agriculture/forestry/fishing
Pre-question text: What industry [do/did] you (your company) work in?
Literal question: Agriculture/forestry/fishing
Post-question: It is possible to select up to three answers.
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r6k34_7, r8k34_7, r9k34_7, r27_bgind_7, r29_bgind_7]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:9255] [Invalid:4254] [Range:0-1]

Value Label Cases Percentage
1 Selected 248 2.8% 0.0280606472
0 Not selected 8588 97.2% 0.9717130573
97 Not answered 2 0.0% 0.0002262955
98 Not asked 417 NA
Sysmiss 4254 NA


c29_bgind_8


Variable label: What industry [do/did] you (your company) work in: Industry/technology
Pre-question text: What industry [do/did] you (your company) work in?
Literal question: Industry/technology
Post-question: It is possible to select up to three answers.
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r6k34_8, r8k34_8, r9k34_8, r27_bgind_8, r29_bgind_8]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:9255] [Invalid:4254] [Range:0-1]

Value Label Cases Percentage
1 Selected 729 8.2% 0.0824847251
0 Not selected 8107 91.7% 0.9172889794
97 Not answered 2 0.0% 0.0002262955
98 Not asked 417 NA
Sysmiss 4254 NA


c29_bgind_9


Variable label: What industry [do/did] you (your company) work in: Building/construction
Pre-question text: What industry [do/did] you (your company) work in?
Literal question: Building/construction
Post-question: It is possible to select up to three answers.
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r6k34_9, r8k34_9, r9k34_9, r27_bgind_9, r29_bgind_9]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:9255] [Invalid:4254] [Range:0-1]

Value Label Cases Percentage
1 Selected 629 7.1% 0.0711699480
0 Not selected 8207 92.9% 0.9286037565
97 Not answered 2 0.0% 0.0002262955
98 Not asked 417 NA
Sysmiss 4254 NA


c29_bgind_10


Variable label: What industry [do/did] you (your company) work in: Retailing/shop
Pre-question text: What industry [do/did] you (your company) work in?
Literal question: Retailing/shop
Post-question: It is possible to select up to three answers.
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r6k34_10, r8k34_10, r9k34_10, r27_bgind_10, r29_bgind_10]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:9255] [Invalid:4254] [Range:0-1]

Value Label Cases Percentage
1 Selected 456 5.2% 0.0515953836
0 Not selected 8380 94.8% 0.9481783209
97 Not answered 2 0.0% 0.0002262955
98 Not asked 417 NA
Sysmiss 4254 NA


c29_bgind_11


Variable label: What industry [do/did] you (your company) work in: Transport/communications
Pre-question text: What industry [do/did] you (your company) work in?
Literal question: Transport/communications
Post-question: It is possible to select up to three answers.
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r6k34_11, r8k34_11, r9k34_11, r27_bgind_11, r29_bgind_11]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:9255] [Invalid:4254] [Range:0-1]

Value Label Cases Percentage
1 Selected 477 5.4% 0.0539714868
0 Not selected 8359 94.6% 0.9458022177
97 Not answered 2 0.0% 0.0002262955
98 Not asked 417 NA
Sysmiss 4254 NA


c29_bgind_12


Variable label: What industry [do/did] you (your company) work in: Culture/sport/organisations
Pre-question text: What industry [do/did] you (your company) work in?
Literal question: Culture/sport/organisations
Post-question: It is possible to select up to three answers.
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r6k34_12, r8k34_12, r9k34_12, r27_bgind_12, r29_bgind_12]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:9255] [Invalid:4254] [Range:0-1]

Value Label Cases Percentage
1 Selected 361 4.1% 0.0408463453
0 Not selected 8475 95.9% 0.9589273591
97 Not answered 2 0.0% 0.0002262955
98 Not asked 417 NA
Sysmiss 4254 NA


c29_bgind_13


Variable label: What industry [do/did] you (your company) work in: Media/advertising/PR/information
Pre-question text: What industry [do/did] you (your company) work in?
Literal question: Media/advertising/PR/information
Post-question: It is possible to select up to three answers.
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r6k34_13, r8k34_13, r9k34_13, r27_bgind_13, r29_bgind_13]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:9255] [Invalid:4254] [Range:0-1]

Value Label Cases Percentage
1 Selected 273 3.1% 0.0308893415
0 Not selected 8563 96.9% 0.9688843630
97 Not answered 2 0.0% 0.0002262955
98 Not asked 417 NA
Sysmiss 4254 NA


c29_bgind_14


Variable label: What industry [do/did] you (your company) work in: Research/analysis
Pre-question text: What industry [do/did] you (your company) work in?
Literal question: Research/analysis
Post-question: It is possible to select up to three answers.
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r6k34_14, r8k34_14, r9k34_14, r27_bgind_14, r29_bgind_14]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:9255] [Invalid:4254] [Range:0-1]

Value Label Cases Percentage
1 Selected 439 5.0% 0.0496718715
0 Not selected 8397 95.0% 0.9501018330
97 Not answered 2 0.0% 0.0002262955
98 Not asked 417 NA
Sysmiss 4254 NA


c29_bgind_15


Variable label: What industry [do/did] you (your company) work in: Travel/hotels
Pre-question text: What industry [do/did] you (your company) work in?
Literal question: Travel/hotels
Post-question: It is possible to select up to three answers.
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r6k34_15, r8k34_15, r9k34_15, r27_bgind_15, r29_bgind_15]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:9255] [Invalid:4254] [Range:0-1]

Value Label Cases Percentage
1 Selected 128 1.4% 0.0144829147
0 Not selected 8708 98.5% 0.9852907898
97 Not answered 2 0.0% 0.0002262955
98 Not asked 417 NA
Sysmiss 4254 NA


c29_bgind_16


Variable label: What industry [do/did] you (your company) work in: Restaurants/catering
Pre-question text: What industry [do/did] you (your company) work in?
Literal question: Restaurants/catering
Post-question: It is possible to select up to three answers.
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r6k34_16, r8k34_16, r9k34_16, r27_bgind_16, r29_bgind_16]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:9255] [Invalid:4254] [Range:0-1]

Value Label Cases Percentage
1 Selected 81 0.9% 0.0091649695
0 Not selected 8755 99.1% 0.9906087350
97 Not answered 2 0.0% 0.0002262955
98 Not asked 417 NA
Sysmiss 4254 NA


c29_bgind_17


Variable label: What industry [do/did] you (your company) work in: Telecommunications/IT
Pre-question text: What industry [do/did] you (your company) work in?
Literal question: Telecommunications/IT
Post-question: It is possible to select up to three answers.
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r6k34_17, r8k34_17, r9k34_17, r27_bgind_17, r29_bgind_17]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:9255] [Invalid:4254] [Range:0-1]

Value Label Cases Percentage
1 Selected 521 5.9% 0.0589499887
0 Not selected 8315 94.1% 0.9408237158
97 Not answered 2 0.0% 0.0002262955
98 Not asked 417 NA
Sysmiss 4254 NA


c29_bgind_18


Variable label: What industry [do/did] you (your company) work in: Banking/insurance/finance
Pre-question text: What industry [do/did] you (your company) work in?
Literal question: Banking/insurance/finance
Post-question: It is possible to select up to three answers.
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r6k34_18, r8k34_18, r9k34_18, r27_bgind_18, r29_bgind_18]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:9255] [Invalid:4254] [Range:0-1]

Value Label Cases Percentage
1 Selected 377 4.3% 0.0426567097
0 Not selected 8459 95.7% 0.9571169948
97 Not answered 2 0.0% 0.0002262955
98 Not asked 417 NA
Sysmiss 4254 NA


c29_bgind_19


Variable label: What industry [do/did] you (your company) work in: Commercial services
Pre-question text: What industry [do/did] you (your company) work in?
Literal question: Commercial services
Post-question: It is possible to select up to three answers.
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r6k34_19, r8k34_19, r9k34_19, r27_bgind_19, r29_bgind_19]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:9255] [Invalid:4254] [Range:0-1]

Value Label Cases Percentage
1 Selected 511 5.8% 0.0578185110
0 Not selected 8325 94.2% 0.9419551935
97 Not answered 2 0.0% 0.0002262955
98 Not asked 417 NA
Sysmiss 4254 NA


c29_bgind_20


Variable label: What industry [do/did] you (your company) work in: Oil/gas
Pre-question text: What industry [do/did] you (your company) work in?
Literal question: Oil/gas
Post-question: It is possible to select up to three answers.
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r6k34_20, r8k34_20, r9k34_20, r27_bgind_20, r29_bgind_20]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:9255] [Invalid:4254] [Range:0-1]

Value Label Cases Percentage
1 Selected 567 6.4% 0.0641547862
0 Not selected 8269 93.6% 0.9356189183
97 Not answered 2 0.0% 0.0002262955
98 Not asked 417 NA
Sysmiss 4254 NA


c29_bgind_21


Variable label: What industry [do/did] you (your company) work in: Other
Pre-question text: What industry [do/did] you (your company) work in?
Literal question: Other
Post-question: It is possible to select up to three answers.
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r6k34_21, r8k34_21, r9k34_21, r27_bgind_21, r29_bgind_21]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:9255] [Invalid:4254] [Range:0-1]

Value Label Cases Percentage
1 Selected 709 8.0% 0.0802217696
0 Not selected 8127 92.0% 0.9195519348
97 Not answered 2 0.0% 0.0002262955
98 Not asked 417 NA
Sysmiss 4254 NA


c29_bgind_source


Variable label: Source for c29_bgind
Technical attributes: [Question type: -] [Format:character] [Valid:9255] [Invalid:4254] [Range:-]



c29_bgscp


Variable label: What type of business did you work for before you became [r29_bgscp_mask]?
Literal question: What type of business did you work for before you became [r29_bgscp_mask]?
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked like this in r27, most recently in r29. You can filter using the source-variable if you only want respondents with the newer values.

Text from the “other”-field has been coded into the response categories where possible.

[Source variables: r27_bgscp, r29_bgscp]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8985] [Invalid:4524] [Range:1-7]

Value Label Cases Percentage
1 State, county or municipal administration 442 11.1% 0.111250944
2 Other public sector (e.g. school and health services) 1267 31.9% 0.318902592
3 Publicly owned enterprise 309 7.8% 0.077774981
4 Private business 1530 38.5% 0.385099421
5 Self-employed 296 7.5% 0.074502895
6 Other: 30 0.8% 0.007550969
7 Have not previously been working 79 2.0% 0.019884218
97 Not answered 20 0.5% 0.005033979
98 Not asked 5012 NA
Sysmiss 4524 NA


c29_bgscp_source


Variable label: Source for c29_bgscp
Technical attributes: [Question type: -] [Format:character] [Valid:8985] [Invalid:4524] [Range:-]



c30_bgchi


Variable label: Living with children under 16 years
Literal question: Do you have any children under the age of 16 who live at home with you, and if so, how many?
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r4, most recently in r30. Most respondents have values from the last two years, but it is possible to have values back to r4. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r4k42, r5k42, r8k42, r11bk42, r16bk42, r17bk42, r18bk42, r22bk42, r23bk42, r25_bgchi, r26k2_bgchi, r30_bgchi]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-6]

Value Label Cases Percentage
0 None 10996 81.9% 0.8190689013
1 1 1015 7.6% 0.0756052142
2 2 921 6.9% 0.0686033520
3 3 256 1.9% 0.0190689013
4 4 30 0.2% 0.0022346369
5 5 4 0.0% 0.0002979516
6 6 or more 5 0.0% 0.0003724395
97 Not answered 198 1.5% 0.0147486034
98 Not asked 84 NA


c30_bgchi_source


Variable label: Source for c30_bgchi
Technical attributes: [Question type: -] [Format:character] [Valid:13509] [Invalid:0] [Range:-]



c30_bgcit_2


Variable label: Citizenship: Another country
Pre-question text: Citizenship. Are you:
Literal question: Citizen of another country. Please write which one:
Post-question: Several answers are possible
Technical description:

Combined variable. Each respondent has been asked this question once. The question has been asked during new recruitment. From wave, it is possible to choose more than one country at this question. Bef, only one option was possible.

[Source variables: w01_k28, w03_r3k28, r4k28, r5k28, r8k28, r11bk28, r14bk28, r16bk28, r18bk28, r22bk28, r25_bgcit, r30_bgcit2_2]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 791 5.9% 0.05896385
0 Not selected 12415 92.5% 0.92545658
97 Not answered 209 1.6% 0.01557958
98 Not asked 94 NA


c30_bgcit_1


Variable label: Citizenship: Norwegian citizen
Pre-question text: Citizenship. Are you:
Literal question: Norwegian citizen
Post-question: Several answers are possible
Technical description:

Combined variable. Each respondent has been asked this question once. The question has been asked during new recruitment. From wave, it is possible to choose more than one country at this question. Bef, only one option was possible.

[Source variables: w01_k28, w03_r3k28, r4k28, r5k28, r8k28, r11bk28, r14bk28, r16bk28, r18bk28, r22bk28, r25_bgcit, r30_bgcit2_1]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:13509] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 12505 93.2% 0.93216549
0 Not selected 701 5.2% 0.05225494
97 Not answered 209 1.6% 0.01557958
98 Not asked 94 NA


c30_bgcit_source


Variable label: Source for c30_bgcit
Technical attributes: [Question type: -] [Format:character] [Valid:13509] [Invalid:0] [Range:-]



c30_bgciv


Variable label: Marital status
Literal question: What is your marital status?
Post-question: Click on what is most suitable to you:
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked this way in r14, most recently in r30. Most respondents have values from the last two years, but it is possible to have values back to r14. You can filter using the source-variable if you only want respondents with the newer values.

Text from the “other”-field has been coded into the response categories where possible.

[Source variables: r14bk27_kodet, r16bk27_kodet, r18bk27, r22bk27_kodet, r23bk27_kodet, r25_bgciv, r26_bgciv, r27_bgciv, r29_bgciv, r30_bgciv]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13293] [Invalid:216] [Range:1-7]

Value Label Cases Percentage
1 Single 2545 19.3% 0.192846859
2 Non-domestic relationship 998 7.6% 0.075623248
3 Cohabitant 2070 15.7% 0.156853830
4 Married/legally registered partner 6405 48.5% 0.485337577
5 Divorced/separated/formerly legally registered partner 635 4.8% 0.048116996
6 Widow/widower 499 3.8% 0.037811624
7 Other: 24 0.2% 0.001818595
97 Not answered 21 0.2% 0.001591271
98 Not asked 96 NA
Sysmiss 216 NA


c30_bgciv_source


Variable label: Source for c30_bgciv
Technical attributes: [Question type: -] [Format:character] [Valid:13293] [Invalid:216] [Range:-]



c30_bgcla


Variable label: Social class, personal placement.
Pre-question text: We sometimes talk about whether or not there are different social groups or classes.
Literal question: If you were to place yourself in such a social class, which one would it be?
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r10, most recently in r30. Most respondents have values from the last two years, but it is possible to have values back to r10. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r10pad13, r11pkklasse, r14pkklasse, r16pkklasse, r18pkklasse, r22pkklasse, r23pkklasse, r25_bgcla, r29_bgcla, r30_bgcla]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Lower class 193 1.4% 0.014442865
2 Working class 1965 14.7% 0.147047819
3 Lower middle class 1545 11.6% 0.115617751
4 Middle class 6923 51.8% 0.518072289
5 Upper middle class 1921 14.4% 0.143755145
6 Upper class 56 0.4% 0.004190676
7 Don't know 574 4.3% 0.042954426
97 Not answered 186 1.4% 0.013919030
98 Not asked 146 NA


c30_bgcla_source


Variable label: Source for c30_bgcla
Technical attributes: [Question type: -] [Format:character] [Valid:13509] [Invalid:0] [Range:-]



c30_bgday


Variable label: Which of the following descriptions best applies to what you have been doing for the last seven days?
Literal question: Which of the following descriptions best applies to what you have been doing for the last seven days?
Post-question: Select one alternative.
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked this way in r14, most recently in r30. Most respondents have values from the last year, but it is possible to have values back to r14. You can filter using the source-variable if you only want respondents with the newer values.

Text from the “other”-field has been coded into the response categories where possible.

[Source variables: r14bk33_kodet, r16bk33_kodet, r17bk33_kodet, r18bk33_kodet, r22bk33_kodet, r25_bgday, r26_bgday, r27_bgday, r29_bgday, r30_bgday]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-12]

Value Label Cases Percentage
1 In full-time paid work (or on temporary leave such as vacation leave or leave of absence/maternity leave) 5590 41.4% 0.413798209
2 In part-time paid work (or on temporary leave such as vacation leave or leave of absence/maternity leave) with working hours of 30 hours per week or more 521 3.9% 0.038566881
3 In part-time paid work (or on temporary leave such as vacation leave or leave of absence/maternity leave) with working hours of less than 30 hours per week 647 4.8% 0.047893997
4 Self-employed 493 3.6% 0.036494189
5 In education (not paid by an employer) 916 6.8% 0.067806647
6 Unemployed and actively seeking a job 144 1.1% 0.010659560
7 Unemployed and not actively seeking a job 69 0.5% 0.005107706
8 Permanently ill or disabled 708 5.2% 0.052409505
9 Retired 4141 30.7% 0.306536383
10 In military service 40 0.3% 0.002960989
11 Working at home, minding children or providing care to other persons 70 0.5% 0.005181731
12 Other: 98 0.7% 0.007254423
97 Not answered 72 0.5% 0.005329780
98 Not asked 0 NA


c30_bgday_source


Variable label: Source for c30_bgday
Technical attributes: [Question type: -] [Format:character] [Valid:13509] [Invalid:0] [Range:-]



c30_bgedu


Variable label: Highest completed education
Literal question: What is the highest level of completed education?
Post-question: If you have obtained multiple qualifications of the same level, select the one that is the most relevant to you.
Technical description:

Combined variable, with the respondent’s most recent value. The question has been asked regularly since r1. Most respondents have values from the last year, but it is possible to have values back to r1. You can filter using the source-variable if you only want respondents with the newer values. This variable is the same as r30_P4_2.

Text from the “other”-field is coded into the answer categories where possible.

[Source variables: w01_k26, w03_r3k26, r4k26, r5k26, r6k26, r8k26, r9k26, r11bk26_kodet, r14bk26_kodet, r16bk26_kodet, r17bk26_kodet, r18bk26_kodet, r20bk26, r22bk26_kodet, r25_bgedu, r26k2_bgedu, r27_bgedu, r29_bgedu, r30_bgedu]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-12]

Value Label Cases Percentage
1 No completed education 50 0.4% 0.003701236
2 Primary and lower secondary school (completed either the first part of compulsory education (elementary school), primary and lower secondary school, 7- year elementary school, secondary modern school or lower secondary school) 655 4.8% 0.048486194
3 Secondary education-general studies/programme for general studies, one-year supplementary study for university and college admission certification (VK2, VG3, High School) 1765 13.1% 0.130653638
4 Secondary education-vocational line of study/education programme (VK2, VK3, VG3, apprenticeship examination, apprentices’ final exam ) 1732 12.8% 0.128210822
5 Diploma from supplementary programme for general university and college admissions certification (tertiary vocational education, vocational technical college) 1099 8.1% 0.081353172
6 University/College, less than 3 years, but at least 2 years (university college graduate 2 and 2½ years) 1071 7.9% 0.079280480
7 College-3-4 year education (Bachelor-, cand.mag., teacher training college, school of nursing, preschool teacher, engineer, business graduate, etc.) 2495 18.5% 0.184691687
8 University-3-4 year education (Bachelor, cand.mag.) 1017 7.5% 0.075283145
9 College-5-6 year education (Master, major) 900 6.7% 0.066622252
10 University 5-6 year education (Master, majors, or longer professional education (e.g. MA in Theology., MA in Psychology., Doctor of Medicine, Doctor of Veterinary Medicine, chartered engineer, graduate in architecture, Master of Science in Business and Economics)) 2149 15.9% 0.159079132
11 Researcher level (Doctorate, Ph.d.) 338 2.5% 0.025020357
12 None of the above (please enter): 49 0.4% 0.003627211
97 Not answered 189 1.4% 0.013990673
98 Not asked 0 NA


c30_bgedu_source


Variable label: Source for c30_bgedu
Technical attributes: [Question type: -] [Format:character] [Valid:13509] [Invalid:0] [Range:-]



c30_bgedu3


Variable label: Highest completed education
Literal question: What is the highest level of completed education?
Post-question: If you have obtained multiple qualifications of the same level, select the one that is the most relevant to you.
Technical description:

Aggregated variable, based on c30_bgedu

Combined variable, with the respondent’s most recent value. The question has been asked regularly since r1. Most respondents have values from the last year, but it is possible to have values back to r1. You can filter using the source-variable if you only want respondents with the newer values. This variable is the same as r30_P4_1.

Text from the “other”-field is coded into the answer categories where possible.

[Source variables: w01_k26, w03_r3k26, r4k26, r5k26, r6k26, r8k26, r9k26, r11bk26_kodet, r14bk26_kodet, r16bk26_kodet, r17bk26_kodet, r18bk26_kodet, r20bk26, r22bk26_kodet, r25_bgedu, r26k2_bgedu, r27_bgedu, r29_bgedu, r30_bgedu]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 No education/elementary school 705 5.2% 0.05218743
2 Upper secondary education 4596 34.0% 0.34021763
3 University/University college 7970 59.0% 0.58997705
97 Not answered 238 1.8% 0.01761788


c30_bgedu3_source


Variable label: Source for c30_bgedu3
Technical attributes: [Question type: -] [Format:character] [Valid:13509] [Invalid:0] [Range:-]



c30_bghea


Variable label: In general, how would you say your health is?
Literal question: In general, how would you say your health is?
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r2, most recently in r30. Most respondents have values from the last two years, but it is possible to have values back to r2. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: w02_hp1, w03_r3hp1, r8hp1, r9hp1, r11bkhelse, r14bkhelse, r16bkhelse, r18bkhelse, r20bkhelse, r22bkhelse, r23bkhelse, r25_bghea, r26_bghea, r27_bghea, r29_bghea, r30_bghea]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Excellent 1750 13.0% 0.12977382
2 Very good 4195 31.1% 0.31108639
3 Good 4811 35.7% 0.35676678
4 Somewhat good 1995 14.8% 0.14794216
5 Poor 555 4.1% 0.04115684
97 Not answered 179 1.3% 0.01327401
98 Not asked 24 NA


c30_bghea_source


Variable label: Source for c30_bghea
Technical attributes: [Question type: -] [Format:character] [Valid:13509] [Invalid:0] [Range:-]



c30_bgimm


Variable label: Have you or your parents (mother, father, or both parents) immigrated to Norway?
Literal question: Have you or your parents (mother, father, or both parents) immigrated to Norway?
Technical description:

Combined variable. Each respondent has been asked this question once. The question has been asked during new recruitment.

[Source variables: w01_k29, w03_r3k29, r4k29, r5k29, r11bk29, r14bk29, r16bk29, r18bk29, r22bk29, r25_bgimm, r30_bgimm]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 No 11637 87.6% 0.87628012
2 I myself have immigrated to Norway 769 5.8% 0.05790663
3 Both my parents have immigrated to Norway, but I was born in Norway 138 1.0% 0.01039157
4 My mother has immigrated to Norway, but myself and my father have not immigrated 298 2.2% 0.02243976
5 My father has immigrated to Norway, but myself and my mother have not immigrated 209 1.6% 0.01573795
97 Not answered 229 1.7% 0.01724398
98 Not asked 229 NA


c30_bgimm_source


Variable label: Source for c30_bgimm
Technical attributes: [Question type: -] [Format:character] [Valid:13509] [Invalid:0] [Range:-]



c30_bginc_v2


Variable label: Current gross annual income?
Literal question: What is your current income? Gross annual income is:
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked this way in r29, most recently in r30. Before r29 the response scale was somewhat different. If you want data on as many as possible, recode c26_bginc and combine with c30_bginc_v2.

[Source variables: r29_bginc_v2, r30_bginc_v2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-10]

Value Label Cases Percentage
1 Less than 300 000 NOK 2144 18.1% 0.18098936
2 300 001 - 400 000 NOK 1592 13.4% 0.13439136
3 400 001 - 500 000 NOK 1634 13.8% 0.13793686
4 500 001 - 600 000 NOK 1474 12.4% 0.12443019
5 600 001 - 700 000 NOK 1332 11.2% 0.11244302
6 700 001 - 800 000 NOK 1010 8.5% 0.08526085
7 800 001 - 900 000 NOK 660 5.6% 0.05571501
8 900 001 - 1 000 000 NOK 514 4.3% 0.04339017
9 1 000 001 - 1 300 000 NOK 639 5.4% 0.05394226
10 More than 1 300 000 NOK 479 4.0% 0.04043559
97 Not answered 368 3.1% 0.03106534
98 Not asked 1663 NA


c30_bginc_v2_source


Variable label: Source for c30_bginc_v2
Technical attributes: [Question type: -] [Format:character] [Valid:13509] [Invalid:0] [Range:-]



c30_bgjsc


Variable label: What type of business [did/do] you work in?
Literal question: What type of business [did/do] you work in?
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r18, most recently in r30. Most respondents have values from the last year, but it is possible to have values back to r18. You can filter using the source-variable if you only want respondents with the newer values. From round 30, the question has two options for the private sector (commercial and non-profit), which are combined in this combined variable. See r30_bgjsc for all the options.

Text from the “other”-field has been coded into the response categories where possible.

[Source variables: r18bk21_kodet, r22bk21_kodet, r23bk21_kodet, r25_bgwor, r26_bgsct, r27_bgsct, r29_bgsct, r30_bgjsc]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 State, county or municipal administration 1515 12.2% 0.122069132
2 Other public sector (e.g. school and health services) 3663 29.5% 0.295141407
3 Publicly owned enterprise 867 7.0% 0.069857385
4 Private company, commercial 5862 47.2% 0.472322939
5 Private company, non-profit 410 3.3% 0.033035211
6 Self-employed 73 0.6% 0.005881879
7 Other: 0 0.0% 0.000000000
97 Not answered 21 0.2% 0.001692047
98 Not asked 1098 NA


c30_bgjsc_source


Variable label: Source for c30_bgjsc
Technical attributes: [Question type: -] [Format:character] [Valid:13509] [Invalid:0] [Range:-]



c30_bglrs


Variable label: Personal placement on political left and right wing scale
Pre-question text: In politics people often talk about the “left wing” and the “right wing.” Below is a scale where 0 represents those who are on the far left politically, while 10 represents those who are on the far right.
Literal question: Where would you place yourself on such a scale?
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r1, most recently in r30. Most respondents have values from the last year, but it is possible to have values back to r1. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: w01_k8_1, w02_k207_1, w03_r3k8_1, r4k8_1, r5k8_1, r8k8_1, r9k8_1, r10k8_1, r11pk8_1, r14pk8_1, r16pk8_1, r18pk8, r20pk8, r22pk8, r25_bglrs, r26k2_bglrs, r28_bglrs, r29_bglrs, r30_bglrs]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13213] [Invalid:296] [Range:0-99]

Value Label Cases Percentage
0 0 - Left wing 298 2.3% 0.02255525280
1 1 722 5.5% 0.05464729034
2 2 1575 11.9% 0.11920980926
3 3 1756 13.3% 0.13290947623
4 4 1410 10.7% 0.10672116258
5 5 1918 14.5% 0.14517105662
6 6 1380 10.4% 0.10445049955
7 7 1723 13.0% 0.13041174690
8 8 1545 11.7% 0.11693914623
9 9 589 4.5% 0.04458068423
10 10 - Right wing 283 2.1% 0.02141992128
97 Not answered 12 0.1% 0.00090826521
98 Not asked 1 NA
99 1 0.0% 0.00007568877
Sysmiss 296 NA


c30_bglrs_source


Variable label: Source for c30_bglrs
Technical attributes: [Question type: -] [Format:character] [Valid:13213] [Invalid:296] [Range:-]



c30_bgrel


Variable label: Belongs to a religion or a religious denomination
Literal question: Do you belong to a religion or a religious denomination?
Technical description: [Source variables: r30_bgrel]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:13509] [Range:-]

Value Label Cases Percentage
1 The Church of Norway 0 NaN
2 The Catholic Church 0 NaN
3 The Orthodox Church (Greek, Russian, others) 0 NaN
4 Other Protestant religious communities (e.g. free churches, Anglican churches, Pentecostal church and others) 0 NaN
5 Other Christian denominations (e.g. Jehovah's Witnesses, The Latter-day Saints and others) 0 NaN
6 Mosaic Religious Community (Jewish) 0 NaN
7 Islamic (Muslim) 0 NaN
8 Eastern religions (e.g. Buddhism, Hinduism, Sikh, Shintoism, Taoism, Confucianism) 0 NaN
9 Other religions 0 NaN
10 Do not belong to any religion or religious denominations 0 NaN
Sysmiss 13509 NA


c30_bgrel_source


Variable label: Source for c30_bgrel
Technical attributes: [Question type: -] [Format:character] [Valid:0] [Invalid:13509] [Range:-]



c30_bgrel_recode


Variable label: Belongs to a religion or a religious denomination [Recoded]
Literal question: Do you belong to a religion or a religious denomination?
Technical description:

Combined variable. Each respondent has been asked this question at least once, some have been asked several times. Here you will find the respondent’s most recent value. You can filter using the source-variable if you only want respondents with the newer values. The variable is aggregated, see “c30_bgrel” for original response options.

[Source variables: r4k40_recode, r5k40_recode, r11bk40_recode, r14bk40_recode, r16bk40_recode, r18bk40_recode, r22bk40_recode, r25_bgrelrecode, r30_bgrel_recode]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13275] [Invalid:234] [Range:1-6]

Value Label Cases Percentage
1 The Church of Norway 7724 59.4% 0.593879748
2 The Catholic Church 161 1.2% 0.012378902
3 Other Christian faiths (Orthodox church, and other christian faiths, e.g. free churches, Anglican church, Pentecostalists, Jehovah's Witnesses, and Mormons) 541 4.2% 0.041596186
4 Other non-Christian religions (The Mosaic faith, eastern religions (e.g. Buddhism, Hinduism, Sikh, Shintoism, Taoism, Confucianism), and others) 109 0.8% 0.008380747
5 Islam 139 1.1% 0.010687375
6 Do not belong to any religion or religious denominations 4271 32.8% 0.328386898
97 Not answered 61 0.5% 0.004690143
98 Not asked 269 NA
Sysmiss 234 NA


c30_bgrel_recode_source


Variable label: Source for c30_bgrel_recode
Technical attributes: [Question type: -] [Format:character] [Valid:13275] [Invalid:234] [Range:-]



c30_bgrem2


Variable label: Participation in religious meetings
Literal question: Apart from special occasions such as weddings and funerals, how often have you participated in religious meetings during the last 12 months?
Technical description:

Combined variable. Each respondent has been asked this question at least once. The question was first asked in r16, most recently in r30. Here you will find the respondent’s most recent value. You can filter using the source-variable if you only want respondents with the newer values.

In r30, the wording was slightly changed. Refer to the previous dataset to find the previous wording.

[Source variables: r16bk41, r18bk41, r22bk41, r25_bgrem, r30_bgrem2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 Approximately every day 13 0.2% 0.001557819
2 More than once a week 94 1.1% 0.011264230
3 Approximately once a week 189 2.3% 0.022648292
4 Once or a few times a month 279 3.3% 0.033433194
5 Several times a year 785 9.4% 0.094068304
6 Once 1032 12.4% 0.123666866
7 I attend religious meetings less than once a year 1508 18.1% 0.180707010
8 I never attend religious meetings 4236 50.8% 0.507609347
97 Not answered 209 2.5% 0.025044937
98 Not asked 5164 NA


c30_bgrem2_source


Variable label: Source for c30_bgrem2
Technical attributes: [Question type: -] [Format:character] [Valid:13509] [Invalid:0] [Range:-]



c30_bgupc


Variable label: Respondents home county at 15 years of age
Technical description:

Combined variable. Each respondent has been asked this question once. The question is asked in round 17, 18, 22, 25 and 30.

[Source variables: r17oppvekstfylke, r18oppvekstfylke, r22oppvekstfylke, r25_bgupc, r30_bgupc]
Technical attributes: [Question type:Single] [Format:integer] [Valid:11022] [Invalid:2487] [Range:-]

Value Label Cases Percentage
3 Oslo 1107 10.0% 0.10043549
11 Rogaland 1041 9.4% 0.09444747
15 Møre og Romsdal 651 5.9% 0.05906369
18 Nordland 601 5.5% 0.05452731
31 Østfold 520 4.7% 0.04717837
32 Akershus 1257 11.4% 0.11404464
33 Buskerud 495 4.5% 0.04491018
34 Innlandet 795 7.2% 0.07212847
39 Vestfold 488 4.4% 0.04427509
40 Telemark 341 3.1% 0.03093812
42 Agder 630 5.7% 0.05715841
46 Vestland 1635 14.8% 0.14833968
50 Trøndelag 958 8.7% 0.08691707
55 Troms - Romsa - Tromssa 379 3.4% 0.03438577
56 Finnmark - Finnmárku - Finmarkku 124 1.1% 0.01125023
Sysmiss 2487 NA


c30_bgupc_source


Variable label: Source for c30_bgupc
Technical attributes: [Question type: -] [Format:character] [Valid:11022] [Invalid:2487] [Range:-]



c30_bgurb


Variable label: Which description best fits the area you live in?
Literal question: Which description best fits the area you live in?
Post-question: We are thinking about Norwegian conditions here.
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r30. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: r6k35, r7k35, r11bk35, r14bk35, r16bk35, r18bk35, r20bk35, r22bk35, r23bk35, r25_bgurb, r26k2_bgurb, r27_bgurb, r29_bgurb, r30_bgurb]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A city 3479 25.9% 0.25860403
2 A suburb or the outskirts of a city 2626 19.5% 0.19519810
3 A small or medium sized town 3750 27.9% 0.27874823
4 A village 2039 15.2% 0.15156471
5 A sparsely inhabited area 1390 10.3% 0.10332268
97 Not answered 169 1.3% 0.01256225
98 Not asked 56 NA


c30_bgurb_source


Variable label: Source for c30_bgurb
Technical attributes: [Question type: -] [Format:character] [Valid:13509] [Invalid:0] [Range:-]



c30_pcpar


Variable label: Would vote for which party if there were a parliamentary election tomorrow
Literal question: Which party would you vote for if there were a parliamentary election tomorrow?
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked this way in r14, most recently in r30. Most respondents have values from the last year, but it is possible to have values back to r14. You can filter using the source-variable if you only want respondents with the newer values.

Text from the “other”-field has been coded into the response categories where possible.

[Source variables: r14pk204, r16pk204_kodet, r17pk204_kodet, r18pk204, r19pk204_kodet, r20pk204_kodet, r21pk204, r23pk204_kodet, r24_pcpar, r26k2_pcpar, r27_pcpar, r28_pcpar, r29_pcpar, r30_pcpar]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-13]

Value Label Cases Percentage
1 The Christian Democrats 409 3.0% 0.030276112
2 The Conservative Party 2862 21.2% 0.211858761
3 The Progress Party 1610 11.9% 0.119179806
4 The Liberal Party 901 6.7% 0.066696277
5 The Socialist Left Party 1625 12.0% 0.120290177
6 The Centre Party 451 3.3% 0.033385151
7 The Green Party 648 4.8% 0.047968021
8 The Labour Party 2273 16.8% 0.168258198
9 The Red Party 757 5.6% 0.056036716
10 The Industry and Business Party 378 2.8% 0.027981346
11 Would not vote 590 4.4% 0.043674587
12 Would cast a blank vote 227 1.7% 0.016803612
13 Not entitled to vote 754 5.6% 0.055814642
14 Other: 0 0.0% 0.000000000
97 Not answered 24 0.2% 0.001776593


c30_pcpar_source


Variable label: Source for c30_pcpar
Technical attributes: [Question type: -] [Format:character] [Valid:13509] [Invalid:0] [Range:-]



c30_pcpin


Variable label: How interested are you in politics?
Literal question: In general, how interested are you in politics?
Technical description:

Combined variable, with the respondent’s most recent value. The question was first asked in r1, most recently in r30. Most respondents have values from the last three years, but it is possible to have values back to r1. You can filter using the source-variable if you only want respondents with the newer values.

[Source variables: w01_k1, w03_r3k1, r5k1, r8k1, r9k1, r10k1, r11pk1, r14pk1, r20pk1, r22pk1, r25_pcpin, r26_pcpin, r30_pcpin]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:13509] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very interested 1948 14.7% 0.146885839
2 Interested 5878 44.3% 0.443221234
3 Somewhat interested 3959 29.9% 0.298522093
4 Not very interested 1222 9.2% 0.092142965
5 Not interested at all 235 1.8% 0.017719801
97 Not answered 20 0.2% 0.001508068
98 Not asked 247 NA


c30_pcpin_source


Variable label: Source for c30_pcpin
Technical attributes: [Question type: -] [Format:character] [Valid:13509] [Invalid:0] [Range:-]



r27_bgcha_0


Variable label: Number of children: I do not have any children
Pre-question text: If you have children (your own children, stepchildren, adopted children, foster children, the children of a partner, etc.), how old are the children?
Literal question: I do not have any children
Field period: 02.06.2023 - 22.06.2023
Technical description:

[All respondents asked]

[Shown on the same page as [r27_bgcha_1 - r27_bgcha_7], and [r27_bgchao].]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:7766] [Invalid:5743] [Range:0-1]

Value Label Cases Percentage
1 Selected 1578 20.3% 0.20319341
0 Not selected 6121 78.8% 0.78817924
97 Not answered 67 0.9% 0.00862735
Sysmiss 5743 NA


r27_bgcha_1


Variable label: Number of children: 0-5 years old
Pre-question text: If you have children (your own children, stepchildren, adopted children, foster children, the children of a partner, etc.), how old are the children?
Literal question: 0-5 years old
Post-question: If you have children, please enter how many children you have in the age categories below. If you don’t have any children, the fields may be left empty. Use whole numbers, not letters.
Field period: 02.06.2023 - 22.06.2023
Technical description:

[All respondents asked]

[Shown on the same page as [r27_bgcha_0 - r27_bgcha_7], and [r27_bgchao].]
Technical attributes: [Question type:Numeric List] [Format:numeric] [Valid:465] [Invalid:13044] [Range:0-5]

Value Label Cases Percentage
0 0 19 4.1% 0.040860215
1 1 299 64.3% 0.643010753
2 2 133 28.6% 0.286021505
3 3 10 2.2% 0.021505376
4 4 3 0.6% 0.006451613
5 5 1 0.2% 0.002150538
Sysmiss 13044 NA


r27_bgcha_2


Variable label: Number of children: 6-10 years old
Pre-question text: If you have children (your own children, stepchildren, adopted children, foster children, the children of a partner, etc.), how old are the children?
Literal question: 6-10 years old
Post-question: If you have children, please enter how many children you have in the age categories below. If you don’t have any children, the fields may be left empty. Use whole numbers, not letters.
Field period: 02.06.2023 - 22.06.2023
Technical description:

[All respondents asked]

[Shown on the same page as [r27_bgcha_0 - r27_bgcha_7], and [r27_bgchao].]
Technical attributes: [Question type:Numeric List] [Format:numeric] [Valid:512] [Invalid:12997] [Range:0-10]

Value Label Cases Percentage
0 0 19 3.7% 0.037109375
1 1 380 74.2% 0.742187500
2 2 98 19.1% 0.191406250
3 3 13 2.5% 0.025390625
6 6 1 0.2% 0.001953125
10 10 1 0.2% 0.001953125
Sysmiss 12997 NA


r27_bgcha_3


Variable label: Number of children: 11-15 years old
Pre-question text: If you have children (your own children, stepchildren, adopted children, foster children, the children of a partner, etc.), how old are the children?
Literal question: 11-15 years old
Post-question: If you have children, please enter how many children you have in the age categories below. If you don’t have any children, the fields may be left empty. Use whole numbers, not letters.
Field period: 02.06.2023 - 22.06.2023
Technical description:

[All respondents asked]

[Shown on the same page as [r27_bgcha_0 - r27_bgcha_7], and [r27_bgchao].]
Technical attributes: [Question type:Numeric List] [Format:numeric] [Valid:685] [Invalid:12824] [Range:0-14]

Value Label Cases Percentage
0 0 16 2.3% 0.023357664
1 1 494 72.1% 0.721167883
2 2 155 22.6% 0.226277372
3 3 14 2.0% 0.020437956
4 4 3 0.4% 0.004379562
5 5 2 0.3% 0.002919708
12 12 0 0.0% 0.000000000
14 14 1 0.1% 0.001459854
Sysmiss 12824 NA


r27_bgcha_4


Variable label: Number of children: 16-20 years old
Pre-question text: If you have children (your own children, stepchildren, adopted children, foster children, the children of a partner, etc.), how old are the children?
Literal question: 16-20 years old
Post-question: If you have children, please enter how many children you have in the age categories below. If you don’t have any children, the fields may be left empty. Use whole numbers, not letters.
Field period: 02.06.2023 - 22.06.2023
Technical description:

[All respondents asked]

[Shown on the same page as [r27_bgcha_0 - r27_bgcha_7], and [r27_bgchao].]
Technical attributes: [Question type:Numeric List] [Format:numeric] [Valid:820] [Invalid:12689] [Range:0-4]

Value Label Cases Percentage
0 0 18 2.2% 0.021951220
1 1 620 75.6% 0.756097561
2 2 170 20.7% 0.207317073
3 3 8 1.0% 0.009756098
4 4 4 0.5% 0.004878049
10 10 0 0.0% 0.000000000
Sysmiss 12689 NA


r27_bgcha_5


Variable label: Number of children: 21-30 years old
Pre-question text: If you have children (your own children, stepchildren, adopted children, foster children, the children of a partner, etc.), how old are the children?
Literal question: 21-30 years old
Post-question: If you have children, please enter how many children you have in the age categories below. If you don’t have any children, the fields may be left empty. Use whole numbers, not letters.
Field period: 02.06.2023 - 22.06.2023
Technical description:

[All respondents asked]

[Shown on the same page as [r27_bgcha_0 - r27_bgcha_7], and [r27_bgchao].]
Technical attributes: [Question type:Numeric List] [Format:numeric] [Valid:1954] [Invalid:11555] [Range:0-6]

Value Label Cases Percentage
0 0 14 0.7% 0.0071647902
1 1 1011 51.7% 0.5174002047
2 2 718 36.7% 0.3674513818
3 3 165 8.4% 0.0844421699
4 4 38 1.9% 0.0194472876
5 5 7 0.4% 0.0035823951
6 6 1 0.1% 0.0005117707
8 8 0 0.0% 0.0000000000
Sysmiss 11555 NA


r27_bgcha_6


Variable label: Number of children: 31-50 years old
Pre-question text: If you have children (your own children, stepchildren, adopted children, foster children, the children of a partner, etc.), how old are the children?
Literal question: 31-50 years old
Post-question: If you have children, please enter how many children you have in the age categories below. If you don’t have any children, the fields may be left empty. Use whole numbers, not letters.
Field period: 02.06.2023 - 22.06.2023
Technical description:

[All respondents asked]

[Shown on the same page as [r27_bgcha_0 - r27_bgcha_7], and [r27_bgchao].]
Technical attributes: [Question type:Numeric List] [Format:numeric] [Valid:3410] [Invalid:10099] [Range:0-7]

Value Label Cases Percentage
0 0 10 0.3% 0.002932551
1 1 1056 31.0% 0.309677419
2 2 1509 44.3% 0.442521994
3 3 682 20.0% 0.200000000
4 4 123 3.6% 0.036070381
5 5 20 0.6% 0.005865103
6 6 6 0.2% 0.001759531
7 7 4 0.1% 0.001173021
Sysmiss 10099 NA


r27_bgcha_7


Variable label: Number of children: 51 years old and above
Pre-question text: If you have children (your own children, stepchildren, adopted children, foster children, the children of a partner, etc.), how old are the children?
Literal question: 51 years old and above
Post-question: If you have children, please enter how many children you have in the age categories below. If you don’t have any children, the fields may be left empty. Use whole numbers, not letters.
Field period: 02.06.2023 - 22.06.2023
Technical description:

[All respondents asked]

[Shown on the same page as [r27_bgcha_0 - r27_bgcha_6], and [r27_bgchao].]
Technical attributes: [Question type:Numeric List] [Format:numeric] [Valid:769] [Invalid:12740] [Range:0-6]

Value Label Cases Percentage
0 0 18 2.3% 0.02340702
1 1 342 44.5% 0.44473342
2 2 297 38.6% 0.38621586
3 3 92 12.0% 0.11963589
4 4 17 2.2% 0.02210663
5 5 1 0.1% 0.00130039
6 6 2 0.3% 0.00260078
Sysmiss 12740 NA


r28_pcvot23m


Variable label: Which political party/party list did you vote for in the municipal elections this autumn?
Literal question: Which political party/party list did you vote for in the municipal elections this autumn?
Field period: 23.10.2023 - 12.11.2023
Technical description:

[All respondents asked]

[Answer list display order: Randomized]

[The order for the alternatives ‘A joint party list’, ‘A local list’, ‘’Would cast a blank vote’, ‘Did not vote’, ‘Not entitled to vote’, and ‘Other’ was not randomized, but kept at the bottom after the other alternatives.]

[Added recoded values from _other-variables]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8013] [Invalid:5496] [Range:1-17]

Value Label Cases Percentage
1 The Christian Democrats 283 3.5% 0.035317609
2 The Conservative Party 1893 23.6% 0.236241108
3 The Progress Party 555 6.9% 0.069262449
4 The Liberal Party 474 5.9% 0.059153875
5 The Socialist Left Party 800 10.0% 0.099837764
6 The Centre Party 420 5.2% 0.052414826
7 The Green Party 445 5.6% 0.055534756
8 The Labour Party 1587 19.8% 0.198053164
9 The Red Party 370 4.6% 0.046174966
10 People's Party FNB 12 0.1% 0.001497566
11 The Industry and Business Party 262 3.3% 0.032696868
12 A joint party list 15 0.2% 0.001871958
13 A local list 168 2.1% 0.020965930
14 Would cast a blank vote 116 1.4% 0.014476476
15 Did not vote 390 4.9% 0.048670910
16 Not entitled to vote 9 0.1% 0.001123175
17 Other: 181 2.3% 0.022588294
97 Not answered 33 0.4% 0.004118308
Sysmiss 5496 NA


r28_pcvot23c


Variable label: Which political party/party list did you vote for in the county council election this autumn?
Literal question: Which political party/party list did you vote for in the county council election this autumn?
Field period: 23.10.2023 - 12.11.2023
Technical description:

[All respondents asked]

[Answer list display order: Randomized]

[The order for the alternatives ‘A joint party list’, ‘A local list’, ‘’Would cast a blank vote’, ‘Did not vote’, ‘Not entitled to vote’, and ‘Other’ was not randomized, but kept at the bottom after the other alternatives.]

[Added recoded values from _other-variables]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8013] [Invalid:5496] [Range:1-17]

Value Label Cases Percentage
1 The Christian Democrats 261 3.3% 0.0325720704
2 The Conservative Party 1841 23.0% 0.2297516536
3 The Progress Party 512 6.4% 0.0638961687
4 The Liberal Party 402 5.0% 0.0501684762
5 The Socialist Left Party 789 9.8% 0.0984649944
6 The Centre Party 407 5.1% 0.0507924622
7 The Green Party 446 5.6% 0.0556595532
8 The Labour Party 1490 18.6% 0.1859478348
9 The Red Party 410 5.1% 0.0511668539
10 People's Party FNB 12 0.1% 0.0014975665
11 The Industry and Business Party 334 4.2% 0.0416822663
12 A joint party list 3 0.0% 0.0003743916
13 A local list 64 0.8% 0.0079870211
14 Would cast a blank vote 144 1.8% 0.0179707975
15 Did not vote 598 7.5% 0.0746287283
16 Not entitled to vote 30 0.4% 0.0037439161
17 Other: 214 2.7% 0.0267066018
97 Not answered 56 0.7% 0.0069886435
Sysmiss 5496 NA


r28_pcter


Variable label: To what extent do you fear that there will be a new terrorist attack in Norway?
Literal question: To what extent do you fear that there will be a new terrorist attack in Norway?
Field period: 23.10.2023 - 12.11.2023
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8013] [Invalid:5496] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 327 4.1% 0.040808686
2 A high degree 1190 14.9% 0.148508673
3 Some degree 3623 45.2% 0.452140272
4 A low degree 2484 31.0% 0.309996256
5 Not at all 309 3.9% 0.038562336
97 Not answered 80 1.0% 0.009983776
Sysmiss 5496 NA


r28_pcrur


Variable label: Agree/disagree: Government authorities show little consideration for non-urban/rural Norway.
Literal question: To what extent do you agree or disagree with the following assertion?: Government authorities show little consideration for non-urban/rural Norway.
Field period: 23.10.2023 - 12.11.2023
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8013] [Invalid:5496] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 1072 13.4% 0.133782603
2 Agree 1788 22.3% 0.223137402
3 Agree somewhat 1976 24.7% 0.246599276
4 Neither agree nor disagree 1345 16.8% 0.167852240
5 Disagree somewhat 806 10.1% 0.100586547
6 Disagree 697 8.7% 0.086983652
7 Strongly disagree 257 3.2% 0.032072882
97 Not answered 72 0.9% 0.008985399
Sysmiss 5496 NA


r28_pcscc


Variable label: Based on what you know, which of the following assertions best describes your view on climate change?
Literal question: Based on what you know, which of the following assertions best describes your view on climate change?
Field period: 23.10.2023 - 12.11.2023
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8013] [Invalid:5496] [Range:1-4]

Value Label Cases Percentage
1 I don’t believe that the climate is changing. 53 0.7% 0.006614252
2 I don't know whether the climate is changing or not. 267 3.3% 0.033320854
3 I believe that the climate is changing, but that it is only to a small extent due to human action 1712 21.4% 0.213652814
4 I believe that the climate is changing, and that it is to a large extent due to human action. 5909 73.7% 0.737426682
97 Not answered 72 0.9% 0.008985399
Sysmiss 5496 NA


r28_pcwcc


Variable label: How worried are you about climate change?
Literal question: How worried are you about climate change?
Field period: 23.10.2023 - 12.11.2023
Technical description:

[All respondents asked]

[The question was exposed to respondents in order dependent on [r28_group]. If [r28_group] == 1 | 3 | 4 | 5 it was displayed after [r28_pcscc]. If [r28_group] == 2 it was displayed after [r28_cehfu].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8013] [Invalid:5496] [Range:1-5]

Value Label Cases Percentage
1 Not at all worried 386 4.8% 0.048171721
2 Not very worried 1106 13.8% 0.138025708
3 Somewhat worried 2218 27.7% 0.276800200
4 Worried 2699 33.7% 0.336827655
5 Very worried 1531 19.1% 0.191064520
97 Not answered 73 0.9% 0.009110196
Sysmiss 5496 NA


r28_pccar


Variable label: Proposal that all new private vehicles should either be electric or run on hydrogen with effect from 2025.
Literal question:

The National Transport Plan for 2018-29 proposes that all new private vehicles should either be electric or run on hydrogen with effect from 2025.

Which of the following statements most closely reflects your views:
Post-question: See National Transport Plan 2018-2029, p. 16, available here: https://www.regjeringen.no/no/dokumenter/meld.-st.-33-20162017/id2546287/
Field period: 23.10.2023 - 12.11.2023
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8013] [Invalid:5496] [Range:1-2]

Value Label Cases Percentage
1 In 2025 all new private vehicles that are sold should either be electric or run on hydrogen. 2470 30.8% 0.30824910
2 In 2025, people should still have the opportunity to purchase new private cars which run on diesel or petrol. 5445 68.0% 0.67952078
97 Not answered 98 1.2% 0.01223013
Sysmiss 5496 NA


r29_bgscp_mask


Variable label: Selects text piping for [r29_bgscp].
Literal question: Selects text piping for [r29_bgscp].
Field period: 15.01.2024 - 05.02.2024
Technical attributes: [Question type:Single] [Format:numeric] [Valid:612] [Invalid:12897] [Range:1-5]

Value Label Cases Percentage
1 a student 27 4.4% 0.044117647
2 unemployed 16 2.6% 0.026143791
3 permanently ill or disabled 62 10.1% 0.101307190
4 retired 506 82.7% 0.826797386
5 a stay-at-home parent or caregiver 1 0.2% 0.001633987
Sysmiss 12897 NA


r29_pccos


Variable label: What degree of confidence do you have in the Norwegian Parliament (Stortinget)?
Literal question: What degree of confidence do you have in the Norwegian Parliament (Stortinget)?
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 415 5.0% 0.05019352
2 A high degree 3405 41.2% 0.41182874
3 Some degree 3113 37.7% 0.37651185
4 A low degree 940 11.4% 0.11369134
5 Not at all 308 3.7% 0.03725206
97 Not answered 87 1.1% 0.01052250
Sysmiss 5241 NA


r29_pccop


Variable label: Generally speaking, how much confidence do you have in Norwegian politicians?
Literal question: Generally speaking, how much confidence do you have in Norwegian politicians?
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 140 1.7% 0.016932753
2 A high degree 2488 30.1% 0.300919207
3 Some degree 3723 45.0% 0.450290276
4 A low degree 1454 17.6% 0.175858732
5 Not at all 428 5.2% 0.051765844
97 Not answered 35 0.4% 0.004233188
Sysmiss 5241 NA


r29_pccom


Variable label: What degree of confidence do you have in the Norwegian news media?
Literal question: What degree of confidence do you have in the Norwegian news media?
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 358 4.3% 0.043299468
2 A high degree 3341 40.4% 0.404088050
3 Some degree 3305 40.0% 0.399733914
4 A low degree 943 11.4% 0.114054185
5 Not at all 255 3.1% 0.030841800
97 Not answered 66 0.8% 0.007982583
Sysmiss 5241 NA


r29_pccoo


Variable label: Most people in general can be trusted
Literal question: Would you say that most people in general can be trusted, or do you think that one cannot be careful enough when dealing with others?
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:0-10]

Value Label Cases Percentage
0 0 - Cannot be careful enough 33 0.4% 0.003991292
1 1 65 0.8% 0.007861635
2 2 136 1.6% 0.016448960
3 3 304 3.7% 0.036768263
4 4 326 3.9% 0.039429124
5 5 648 7.8% 0.078374456
6 6 874 10.6% 0.105708757
7 7 2078 25.1% 0.251330431
8 8 2636 31.9% 0.318819545
9 9 894 10.8% 0.108127721
10 10 – Most people can be trusted 246 3.0% 0.029753266
97 Not answered 28 0.3% 0.003386551
Sysmiss 5241 NA


r29_pcsaf


Variable label: How much safer or more unsafe has your local environment become
Literal question:

Think about your local environment and how it has evolved over the past couple of years.

How much safer or more unsafe has it become?
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-5]

Value Label Cases Percentage
1 Much safer 61 0.7% 0.007377842
2 Somewhat safer 313 3.8% 0.037856797
3 No change in safety 6066 73.4% 0.733671988
4 Somewhat more unsafe 1636 19.8% 0.197871311
5 Much more unsafe 176 2.1% 0.021286889
97 Not answered 16 0.2% 0.001935172
Sysmiss 5241 NA


r29_pcpri


Variable label: Agree/disagree: The authorities should introduce more measures to protect citizens from potential terrorist threats, even though this may be at the expense of privacy.
Literal question:

To what extent do you agree or disagree with the following proposition:

The authorities should introduce more measures to protect citizens from potential terrorist threats, even though this may be at the expense of privacy.
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 628 7.6% 0.075955491
2 Agree 1922 23.2% 0.232462506
3 Agree somewhat 2653 32.1% 0.320875665
4 Neither agree nor disagree 1044 12.6% 0.126269956
5 Disagree somewhat 1040 12.6% 0.125786164
6 Disagree 647 7.8% 0.078253507
7 Strongly disagree 278 3.4% 0.033623609
97 Not answered 56 0.7% 0.006773101
Sysmiss 5241 NA


r29_pcmipo_1_coded1


Variable label: Open: What are the most important political issues or areas for you personally? (1)
Pre-question text: What are the most important political issues or areas for you personally?
Literal question: 1:
Post-question: Please list the three most important issues where 1 is the most important, 2 the second most important and 3 is the third most important.
Field period: 15.01.2024 - 05.02.2024
Technical description:

[All respondents asked]

[This question is asked as an open text answer, where the respondent can write in three boxes, one for each issue. Here, the issues are manually coded into higher-level categories, according to a coding scheme. Contact us if you want to know more.]
Technical attributes: [Question type:Open Text List] [Format:numeric] [Valid:7915] [Invalid:5594] [Range:1001-9797]

Value Label Cases Percentage
1001 Health 1653 20.9% 0.2088439672
2002 Environment 1417 17.9% 0.1790271636
3003 Education 412 5.2% 0.0520530638
4004 Public infrastructure 146 1.8% 0.0184459886
5005 Immigration 202 2.6% 0.0255211623
6006 Economy (private and societal) 1049 13.3% 0.1325331649
7007 Labour 155 2.0% 0.0195830701
8008 Welfare 683 8.6% 0.0862918509
9009 Equality 59 0.7% 0.0074542009
1010 Culture 16 0.2% 0.0020214782
1111 Defence 236 3.0% 0.0298168035
1212 Justice 126 1.6% 0.0159191409
1313 Industry and trade 343 4.3% 0.0433354390
1414 Foreign affairs 410 5.2% 0.0518003790
1515 Regional / urban-rural 74 0.9% 0.0093493367
1616 International 196 2.5% 0.0247631080
1717 Senior citizen policies 93 1.2% 0.0117498421
1818 Family 246 3.1% 0.0310802274
1919 Tradition 13 0.2% 0.0016424510
2020 Democracy 70 0.9% 0.0088439672
2121 Ideology 4 0.1% 0.0005053696
2222 Freedom and responsibility) 53 0.7% 0.0066961466
2323 Public and private sector 43 0.5% 0.0054327227
2424 Ethics 79 1.0% 0.0099810486
3030 Other 119 1.5% 0.0150347442
9696 Incomplete answers / Do not know 15 0.2% 0.0018951358
9797 Unanswered 3 0.0% 0.0003790272
Sysmiss 5594 NA


r29_pcmipo_2_coded1


Variable label: Open: What are the most important political issues or areas for you personally? (2)
Pre-question text: What are the most important political issues or areas for you personally?
Literal question: 2:
Post-question: Please list the three most important issues where 1 is the most important, 2 the second most important and 3 is the third most important.
Field period: 15.01.2024 - 05.02.2024
Technical description:

[All respondents asked]

[This question is asked as an open text answer, where the respondent can write in three boxes, one for each issue. Here, the issues are manually coded into higher-level categories, according to a coding scheme. Contact us if you want to know more.]
Technical attributes: [Question type:Open Text List] [Format:numeric] [Valid:7863] [Invalid:5646] [Range:1001-9797]

Value Label Cases Percentage
1001 Health 1362 17.3% 0.1732163296
2002 Environment 1177 15.0% 0.1496884141
3003 Education 871 11.1% 0.1107719700
4004 Public infrastructure 372 4.7% 0.0473101870
5005 Immigration 217 2.8% 0.0275976091
6006 Economy (private and societal) 876 11.1% 0.1114078596
7007 Labour 179 2.3% 0.0227648480
8008 Welfare 642 8.2% 0.0816482259
9009 Equality 60 0.8% 0.0076306753
1010 Culture 40 0.5% 0.0050871169
1111 Defence 205 2.6% 0.0260714740
1212 Justice 192 2.4% 0.0244181610
1313 Industry and trade 357 4.5% 0.0454025181
1414 Foreign affairs 335 4.3% 0.0426046038
1515 Regional / urban-rural 103 1.3% 0.0130993260
1616 International 133 1.7% 0.0169146636
1717 Senior citizen policies 97 1.2% 0.0123362584
1818 Family 257 3.3% 0.0326847259
1919 Tradition 8 0.1% 0.0010174234
2020 Democracy 64 0.8% 0.0081393870
2121 Ideology 10 0.1% 0.0012717792
2222 Freedom and responsibility) 46 0.6% 0.0058501844
2323 Public and private sector 97 1.2% 0.0123362584
2424 Ethics 59 0.8% 0.0075034974
3030 Other 91 1.2% 0.0115731909
9696 Incomplete answers / Do not know 7 0.1% 0.0008902455
9797 Unanswered 6 0.1% 0.0007630675
Sysmiss 5646 NA


r29_pcmipo_3_coded1


Variable label: Open: What are the most important political issues or areas for you personally? (3)
Pre-question text: What are the most important political issues or areas for you personally?
Literal question: 3:
Post-question: Please list the three most important issues where 1 is the most important, 2 the second most important and 3 is the third most important.
Field period: 15.01.2024 - 05.02.2024
Technical description:

[All respondents asked]

[This question is asked as an open text answer, where the respondent can write in three boxes, one for each issue. Here, the issues are manually coded into higher-level categories, according to a coding scheme. Contact us if you want to know more.]
Technical attributes: [Question type:Open Text List] [Format:numeric] [Valid:7718] [Invalid:5791] [Range:1001-9797]

Value Label Cases Percentage
1001 Health 1099 14.2% 0.1423944027
2002 Environment 1036 13.4% 0.1342316662
3003 Education 781 10.1% 0.1011920187
4004 Public infrastructure 517 6.7% 0.0669862659
5005 Immigration 331 4.3% 0.0428867582
6006 Economy (private and societal) 775 10.0% 0.1004146152
7007 Labour 188 2.4% 0.0243586421
8008 Welfare 568 7.4% 0.0735941954
9009 Equality 73 0.9% 0.0094584089
1010 Culture 82 1.1% 0.0106245141
1111 Defence 189 2.4% 0.0244882094
1212 Justice 247 3.2% 0.0320031096
1313 Industry and trade 404 5.2% 0.0523451671
1414 Foreign affairs 310 4.0% 0.0401658461
1515 Regional / urban-rural 119 1.5% 0.0154185022
1616 International 167 2.2% 0.0216377300
1717 Senior citizen policies 99 1.3% 0.0128271573
1818 Family 219 2.8% 0.0283752267
1919 Tradition 17 0.2% 0.0022026432
2020 Democracy 107 1.4% 0.0138636953
2121 Ideology 10 0.1% 0.0012956725
2222 Freedom and responsibility) 37 0.5% 0.0047939881
2323 Public and private sector 134 1.7% 0.0173620109
2424 Ethics 56 0.7% 0.0072557657
3030 Other 137 1.8% 0.0177507126
9696 Incomplete answers / Do not know 6 0.1% 0.0007774035
9797 Unanswered 10 0.1% 0.0012956725
Sysmiss 5791 NA


r29_pcsag


Variable label: How satisfied are you with the present government in Norway?
Literal question: How satisfied are you with the present government in Norway?
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-5]

Value Label Cases Percentage
1 Very satisfied 116 1.4% 0.01403000
2 Satisfied 1378 16.7% 0.16666667
3 Somewhat satisfied 2729 33.0% 0.33006773
4 Dissatisfied 2611 31.6% 0.31579584
5 Not satisfied at all 1281 15.5% 0.15493469
97 Not answered 153 1.9% 0.01850508
Sysmiss 5241 NA


r29_pcsad


Variable label: How satisfied are you with the way in which democracy works in Norway?
Literal question: How satisfied are you with the way in which democracy works in Norway?
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-5]

Value Label Cases Percentage
1 Very satisfied 858 10.4% 0.103773585
2 Satisfied 3968 48.0% 0.479922593
3 Somewhat satisfied 2224 26.9% 0.268988873
4 Dissatisfied 908 11.0% 0.109820997
5 Not satisfied at all 295 3.6% 0.035679729
97 Not answered 15 0.2% 0.001814224
Sysmiss 5241 NA


r29_pcimm


Variable label: Advantage/disadvantage for Norway that immigrants come to live here
Literal question: In your opinion how great an advantage or disadvantage is it for Norway that immigrants come to live here?
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-7]

Value Label Cases Percentage
1 A very great advantage 292 3.5% 0.035316884
2 A great advantage 1491 18.0% 0.180333817
3 A slight advantage 3511 42.5% 0.424649250
4 Neither an advantage nor a disadvantage 1059 12.8% 0.128084180
5 A slight disadvantage 1246 15.1% 0.150701500
6 A great disadvantage 406 4.9% 0.049104983
7 A very great disadvantage 208 2.5% 0.025157233
97 Not answered 55 0.7% 0.006652153
Sysmiss 5241 NA


r29_pcref


Variable label: Your opinion on refugees who come to Norway and seek asylum.
Literal question: What is your opinion on refugees who come to Norway and seek asylum and their opportunity to be granted residence here? Compared to how it is today, do you mean it should be:
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-7]

Value Label Cases Percentage
1 Much easier 119 1.4% 0.014392840
2 Easier 566 6.8% 0.068456701
3 Somewhat easier 1172 14.2% 0.141751330
4 Same as today 3381 40.9% 0.408925980
5 Slightly more difficult 1636 19.8% 0.197871311
6 More difficult 747 9.0% 0.090348331
7 Much more difficult 588 7.1% 0.071117562
97 Not answered 59 0.7% 0.007135946
Sysmiss 5241 NA


r29_pcmsc


Variable label: Agree/disagree: It should be possible for parents to send their children to Muslim schools.
Literal question:

Today, it is possible for parents to send their children to Christian schools that follow the national curriculum, but also teach the Christian faith.

How much do you agree or disagree that it should be possible for parents to send their children to Muslim schools that follow the national curriculum, but also teach the Islamic faith?
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 182 2.2% 0.022012579
2 Agree 821 9.9% 0.099298500
3 Agree somewhat 1076 13.0% 0.130140300
4 Neither agree nor disagree 1404 17.0% 0.169811321
5 Disagree somewhat 1121 13.6% 0.135582970
6 Disagree 1630 19.7% 0.197145622
7 Strongly disagree 1975 23.9% 0.238872762
97 Not answered 59 0.7% 0.007135946
Sysmiss 5241 NA


r29_pcint


Variable label: As you see it, how good or poor are the preconditions in Norwegian society for integrating refugees?
Literal question: As you see it, how good or poor are the preconditions in Norwegian society for integrating refugees?
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-7]

Value Label Cases Percentage
1 Very good 349 4.2% 0.042210934
2 Good 2143 25.9% 0.259192066
3 Somewhat good 1981 24.0% 0.239598452
4 Neither good nor bad 952 11.5% 0.115142719
5 Somewhat poor 1625 19.7% 0.196540881
6 Poor 852 10.3% 0.103047896
7 Very poor 286 3.5% 0.034591195
97 Not answered 80 1.0% 0.009675859
Sysmiss 5241 NA


r29_pcldi


Variable label: Like/dislike: immigrants in Norway
Literal question: In general, how much do you like or dislike immigrants in Norway?
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 87 1.1% 0.01052250
2 Really dislike 200 2.4% 0.02418965
3 Dislike somewhat 746 9.0% 0.09022738
4 Neither dislike nor like 2835 34.3% 0.34288824
5 Like somewhat 2267 27.4% 0.27418965
6 Really like 1739 21.0% 0.21032898
7 Intensely like 305 3.7% 0.03688921
97 Not answered 89 1.1% 0.01076439
Sysmiss 5241 NA


r29_cpres


Variable label: Agree/disagree: Financial resources should be transferred from the rich parts of the country to parts that are not so rich, to ensure that everyone receives public services of the same quality.
Literal question: To what extent do you agree or disgree with the following statement: Financial resources should be transferred from the rich parts of the country to parts that are not so rich, to ensure that everyone receives public services of the same quality.
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 1011 12.2% 0.122278665
2 Agree 2684 32.5% 0.324625060
3 Agree somewhat 2697 32.6% 0.326197388
4 Neither agree nor disagree 922 11.2% 0.111514272
5 Disagree somewhat 571 6.9% 0.069061442
6 Disagree 247 3.0% 0.029874214
7 Strongly disagree 88 1.1% 0.010643445
97 Not answered 48 0.6% 0.005805515
Sysmiss 5241 NA


r29_pcoil


Variable label: Development of the oil and gas industry in Norway. In 10 to 15 years, the industry should be…
Literal question:

There is frequent debate about how the oil and gas industry in Norway should be developed over the next 10 to 15 years. Which of the following options is closest to your view?

In 10 to 15 years, the industry should be …
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-5]

Value Label Cases Percentage
1 As large as possible 470 5.7% 0.056845670
2 Larger than today 463 5.6% 0.055999032
3 Just as large as today 2807 34.0% 0.339501693
4 Smaller than today 3033 36.7% 0.366835994
5 As small as possible 1440 17.4% 0.174165457
97 Not answered 55 0.7% 0.006652153
Sysmiss 5241 NA


r29_pceum


Variable label: How positive or negative are you towards Norwegian EU membership?
Literal question: How positive or negative are you towards Norwegian EU membership?
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-7]

Value Label Cases Percentage
1 Very positive 966 11.7% 0.116835994
2 Positive 1389 16.8% 0.167997097
3 Somewhat positive 1236 14.9% 0.149492017
4 Neither positive nor negative 876 10.6% 0.105950653
5 Somewhat negative 1165 14.1% 0.140904693
6 Negative 1296 15.7% 0.156748911
7 Very negative 1291 15.6% 0.156144170
97 Not answered 49 0.6% 0.005926463
Sysmiss 5241 NA


r29_pceea


Variable label: How great advantage or disadvantage is the EEA Agreement for Norway?
Literal question: How great advantage or disadvantage is the EEA Agreement for Norway?
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-7]

Value Label Cases Percentage
1 A very great advantage 1111 13.4% 0.13437349
2 A great advantage 2114 25.6% 0.25568457
3 A slight advantage 2410 29.1% 0.29148524
4 Neither an advantage nor a disadvantage 796 9.6% 0.09627479
5 A slight disadvantage 988 11.9% 0.11949686
6 A great disadvantage 459 5.6% 0.05551524
7 A very great disadvantage 288 3.5% 0.03483309
97 Not answered 102 1.2% 0.01233672
Sysmiss 5241 NA


r29_pcnat


Variable label: Norways membership status in NATO
Literal question: Which of the following alternatives is closest to your point of view:
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-2]

Value Label Cases Percentage
1 Norway should continue to be a member of NATO. 7926 95.9% 0.958635704
2 Norway should opt out of NATO. 270 3.3% 0.032656023
97 Not answered 72 0.9% 0.008708273
Sysmiss 5241 NA


r29_innae


Variable label: How do you rate the increased military presence of NATO in Eastern Europe?
Literal question: NATO has recently increased its military forces and military equipment in Eastern Europe considerably. How do you rate the increased military presence in Eastern Europe?
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-6]

Value Label Cases Percentage
1 Very positively 2437 29.5% 0.294750847
2 Somewhat positively 2861 34.6% 0.346032898
3 Neither positively, nor negatively 1035 12.5% 0.125181422
4 Somewhat negatively 896 10.8% 0.108369618
5 Very negatively 492 6.0% 0.059506531
6 Don't know 483 5.8% 0.058417997
97 Not answered 64 0.8% 0.007740687
Sysmiss 5241 NA


r29_pcecs


Variable label: Perception of current economic situation
Literal question:

How do you perceive the current economic situation to be in Norway?

Do you think it is:
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-7]

Value Label Cases Percentage
1 Very good 670 8.1% 0.081035317
2 Good 3022 36.6% 0.365505564
3 Quite good 1965 23.8% 0.237663280
4 Neither good nor bad 904 10.9% 0.109337204
5 Quite bad 1238 15.0% 0.149733914
6 Bad 354 4.3% 0.042815675
7 Very bad 92 1.1% 0.011127238
97 Not answered 23 0.3% 0.002781809
Sysmiss 5241 NA


r29_pceco


Variable label: Assessment of: Your own financial situation today
Literal question: How would you assess your own financial situation today?
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-7]

Value Label Cases Percentage
1 Very good 910 11.0% 0.110062893
2 Good 3695 44.7% 0.446903725
3 Quite good 1561 18.9% 0.188800194
4 Neither good nor bad 1181 14.3% 0.142839865
5 Quite bad 611 7.4% 0.073899371
6 Bad 221 2.7% 0.026729560
7 Very bad 56 0.7% 0.006773101
97 Not answered 33 0.4% 0.003991292
Sysmiss 5241 NA


r29_pcinc


Variable label: Agree/disagree: The Government should work to reduce income inequality in society
Literal question:

To what extent do you agree or disagree with the following suggestion:

The Government should work to reduce income inequality in society to greater extent.
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 1954 23.6% 0.236332850
2 Agree 2280 27.6% 0.275761974
3 Agree somewhat 1953 23.6% 0.236211901
4 Neither agree nor disagree 862 10.4% 0.104257378
5 Disagree somewhat 657 7.9% 0.079462990
6 Disagree 376 4.5% 0.045476536
7 Strongly disagree 128 1.5% 0.015481374
97 Not answered 58 0.7% 0.007014998
Sysmiss 5241 NA


r29_pcecy


Variable label: Assessment of: Your own financial situation in a year
Literal question: How would you assess your own financial situation in a year?
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-5]

Value Label Cases Percentage
1 Much worse than today 59 0.7% 0.007135946
2 Worse than today 1087 13.1% 0.131470731
3 Neither worse nor better than today 5738 69.4% 0.694000968
4 Better than today 1286 15.6% 0.155539429
5 Much better than today 70 0.8% 0.008466376
97 Not answered 28 0.3% 0.003386551
Sysmiss 5241 NA


r29_pcldpk


Variable label: Like or dislike party: The Christian Democratic party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Christian Democratic Party
Post-question: Click on your desired answer
Field period: 15.01.2024 - 05.02.2024
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 986 11.9% 0.119254959
2 Really dislike 1512 18.3% 0.182873730
3 Dislike somewhat 1884 22.8% 0.227866473
4 Neither like nor dislike 1983 24.0% 0.239840348
5 Like somewhat 1380 16.7% 0.166908563
6 Really like 352 4.3% 0.042573778
7 Intensely like 97 1.2% 0.011731979
97 Not answered 74 0.9% 0.008950169
Sysmiss 5241 NA


r29_pcldph


Variable label: Like or dislike party: The Conservative Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Conservative Party
Post-question: Click on your desired answer
Field period: 15.01.2024 - 05.02.2024
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 459 5.6% 0.055515239
2 Really dislike 1178 14.2% 0.142477020
3 Dislike somewhat 1529 18.5% 0.184929850
4 Neither like nor dislike 918 11.1% 0.111030479
5 Like somewhat 1944 23.5% 0.235123367
6 Really like 1608 19.4% 0.194484761
7 Intensely like 569 6.9% 0.068819545
97 Not answered 63 0.8% 0.007619739
Sysmiss 5241 NA


r29_pcldpf


Variable label: Like or dislike party: The Progress Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Progress Party
Post-question: Click on your desired answer
Field period: 15.01.2024 - 05.02.2024
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 2199 26.6% 0.265965167
2 Really dislike 1730 20.9% 0.209240445
3 Dislike somewhat 1156 14.0% 0.139816159
4 Neither like nor dislike 738 8.9% 0.089259797
5 Like somewhat 1369 16.6% 0.165578133
6 Really like 730 8.8% 0.088292211
7 Intensely like 277 3.4% 0.033502661
97 Not answered 69 0.8% 0.008345428
Sysmiss 5241 NA


r29_pcldpv


Variable label: Like or dislike party: The Liberal Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Liberal Party
Post-question: Click on your desired answer
Field period: 15.01.2024 - 05.02.2024
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 480 5.8% 0.058055152
2 Really dislike 869 10.5% 0.105104015
3 Dislike somewhat 1586 19.2% 0.191823899
4 Neither like nor dislike 2119 25.6% 0.256289308
5 Like somewhat 2206 26.7% 0.266811805
6 Really like 774 9.4% 0.093613933
7 Intensely like 161 1.9% 0.019472666
97 Not answered 73 0.9% 0.008829221
Sysmiss 5241 NA


r29_pcldpsv


Variable label: Like or dislike party: The Socialist Left Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Socialist Left Party
Post-question: Click on your desired answer
Field period: 15.01.2024 - 05.02.2024
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 922 11.2% 0.111514272
2 Really dislike 1195 14.5% 0.144533140
3 Dislike somewhat 1267 15.3% 0.153241413
4 Neither like nor dislike 1166 14.1% 0.141025641
5 Like somewhat 1802 21.8% 0.217948718
6 Really like 1334 16.1% 0.161344944
7 Intensely like 501 6.1% 0.060595065
97 Not answered 81 1.0% 0.009796807
Sysmiss 5241 NA


r29_pcldpsp


Variable label: Like or dislike party: The Centre Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Centre Party
Post-question: Click on your desired answer
Field period: 15.01.2024 - 05.02.2024
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 1007 12.2% 0.121794872
2 Really dislike 1665 20.1% 0.201378810
3 Dislike somewhat 2037 24.6% 0.246371553
4 Neither like nor dislike 1610 19.5% 0.194726657
5 Like somewhat 1477 17.9% 0.178640542
6 Really like 340 4.1% 0.041122400
7 Intensely like 64 0.8% 0.007740687
97 Not answered 68 0.8% 0.008224480
Sysmiss 5241 NA


r29_pcldpm


Variable label: Like or dislike party: The Green Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Green Party
Post-question: Click on your desired answer
Field period: 15.01.2024 - 05.02.2024
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 1528 18.5% 0.184808902
2 Really dislike 1292 15.6% 0.156265119
3 Dislike somewhat 1356 16.4% 0.164005806
4 Neither like nor dislike 1194 14.4% 0.144412192
5 Like somewhat 1803 21.8% 0.218069666
6 Really like 811 9.8% 0.098089018
7 Intensely like 222 2.7% 0.026850508
97 Not answered 62 0.7% 0.007498791
Sysmiss 5241 NA


r29_pcldpa


Variable label: Like or dislike party: The Labour Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Labour Party
Post-question: Click on your desired answer
Field period: 15.01.2024 - 05.02.2024
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 600 7.3% 0.072568940
2 Really dislike 1021 12.3% 0.123488147
3 Dislike somewhat 1502 18.2% 0.181664248
4 Neither like nor dislike 1079 13.1% 0.130503145
5 Like somewhat 2426 29.3% 0.293420416
6 Really like 1353 16.4% 0.163642961
7 Intensely like 223 2.7% 0.026971456
97 Not answered 64 0.8% 0.007740687
Sysmiss 5241 NA


r29_pcldpr


Variable label: Like or dislike party: The Red Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Red Party
Post-question: Click on your desired answer
Field period: 15.01.2024 - 05.02.2024
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 1624 19.6% 0.196419932
2 Really dislike 1339 16.2% 0.161949686
3 Dislike somewhat 1237 15.0% 0.149612966
4 Neither like nor dislike 1110 13.4% 0.134252540
5 Like somewhat 1765 21.3% 0.213473633
6 Really like 840 10.2% 0.101596517
7 Intensely like 286 3.5% 0.034591195
97 Not answered 67 0.8% 0.008103532
Sysmiss 5241 NA


r29_cewip_1


Variable label: Agree/disagree: More onshore wind power should be developed in Norway.
Pre-question text: To what extent do you agree or disagree with the following statements
Literal question: More onshore wind power should be developed in Norway.
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 598 7.2% 0.072327044
2 Agree 1166 14.1% 0.141025641
3 Agree somewhat 1827 22.1% 0.220972424
4 Neither agree nor disagree 910 11.0% 0.110062893
5 Disagree somewhat 1059 12.8% 0.128084180
6 Disagree 1139 13.8% 0.137760039
7 Strongly disagree 1498 18.1% 0.181180455
97 Not answered 71 0.9% 0.008587325
Sysmiss 5241 NA


r29_cewip_2


Variable label: Agree/disagree: More offshore wind power should be developed in Norway.
Pre-question text: To what extent do you agree or disagree with the following statements
Literal question: More offshore wind power should be developed in Norway.
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:8268] [Invalid:5241] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 1114 13.5% 0.134736333
2 Agree 2178 26.3% 0.263425254
3 Agree somewhat 1982 24.0% 0.239719400
4 Neither agree nor disagree 906 11.0% 0.109579100
5 Disagree somewhat 534 6.5% 0.064586357
6 Disagree 561 6.8% 0.067851959
7 Strongly disagree 917 11.1% 0.110909531
97 Not answered 76 0.9% 0.009192066
Sysmiss 5241 NA