Codebook

Norwegian Citizen Panel

Round 31

v-101 - 2025-02-21









Produced by ideas2evidence










Citation

Researchers responsible

Name Affiliation
Elisabeth Ivarsflaten UiB
Åsta Dyrnes Nordø UiB
Stefan Dahlberg 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 Affiliation
Erla Løvseth UiB
Emilie Midtsæter Strønen UiB
Sina Storelv UiB

Producers

Name Affiliation Role
Joachim Wettergreen ideas2evidence Coordinator
Olav Bjørnebekk 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.

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 from wave 30 and onwards. 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 31, email invitations were sent out on 4th of November 2024 for softlaunch, and on the 5th of November for the main launch.

An email with reminder was sent out three times; 8th of November, 13th of November, and 19th of November, 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.

Wave 31 ended on the 25th of November 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 2025-02-21 NA Revised release of round 31
NA 2025-02-21 c31_pcpar Variable documentation updated
NA 2025-02-17 r31_pcpar Added variable: Coded version of r31_pcpar_raw
NA 2025-02-17 r31_pcpam Added variable: Coded version of r31_pcpam_raw
NA 2025-02-17 r31_pcmipo_1_coded1 Added variable: Coded version of r31_pcmipo_1
NA 2025-02-17 r31_pcmipo_2_coded1 Added variable: Coded version of r31_pcmipo_2
NA 2025-02-17 r31_pcmipo_3_coded1 Added variable: Coded version of r31_pcmipo_3
NA 2025-02-17 r31_pcpar Variable documentation inserted
NA 2025-02-17 r31_pcpam Variable documentation inserted
NA 2025-02-17 r31_pcmipo_1_coded1 Variable documentation inserted
NA 2025-02-17 r31_pcmipo_2_coded1 Variable documentation inserted
NA 2025-02-17 r31_pcmipo_3_coded1 Variable documentation inserted
v-100 2024-12-09 NA Initial release of round 31
NA 2024-12-04 r31_pceum Variable documentation updated
NA 2024-09-02 r29_bgscp_mask Variable documentation updated
NA 2024-06-27 c26_bginc Variable documentation updated
NA 2024-06-27 c27_bgoily_decade 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 2024-06-13 r29_pcmsc Variable documentation updated
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 31 - v-101-O.sav
Distribution type Public
# Cases 11515
# Variables 519


Variable Documentation

responseid


Variable label: responseid
Technical attributes: [Question type: -] [Format:character] [Valid:11515] [Invalid:0] [Range:-]



r31_rekruttert


Variable label: The wave the respondent was recruited
Field period: 04.11.2024 - 25.11.2024
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-30]

Value Label Cases Percentage
1 Wave 1 1254 10.9% 0.10890143
3 Wave 3 1353 11.7% 0.11749891
8 Wave 8 1241 10.8% 0.10777247
11 Wave 11 679 5.9% 0.05896657
14 Wave 14 660 5.7% 0.05731654
16 Wave 16 1835 15.9% 0.15935736
18 Wave 18 700 6.1% 0.06079027
22 Wave 22 1289 11.2% 0.11194095
25 Wave 25 1045 9.1% 0.09075119
30 Wave 30 1459 12.7% 0.12670430


r31_interview_start


Variable label: [Date and time of when the respondent first opened the questionnaire. Excel-format.]
Field period: 04.11.2024 - 25.11.2024
Technical attributes: [Question type: -] [Format:character] [Valid:11515] [Invalid:0] [Range:-]



r31_interview_end


Variable label: [Date and time of when the respondent completed the questionnaire. Excel-format.]
Field period: 04.11.2024 - 25.11.2024
Technical attributes: [Question type: -] [Format:character] [Valid:10608] [Invalid:907] [Range:-]



r31_browsertype


Variable label: Browertype used by respondent
Field period: 04.11.2024 - 25.11.2024
Technical description: Browertype used by respondent
Technical attributes: [Question type:Open] [Format:character] [Valid:11515] [Invalid:0] [Range:-]



r31_browserversion


Variable label: Browser version used by respondent
Field period: 04.11.2024 - 25.11.2024
Technical description: Browser version used by respondent
Technical attributes: [Question type:Open] [Format:character] [Valid:11515] [Invalid:0] [Range:-]



r31_mobil


Variable label: Determines if the respondents uses a smartphone or tablet
Field period: 04.11.2024 - 25.11.2024
Technical description: Determines if the respondents uses a smartphone or tablet
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
0 Other 5355 46.5% 0.4650456
1 Mobile 6160 53.5% 0.5349544


r31_opplosning


Variable label: Screen resolution of the applied device
Field period: 04.11.2024 - 25.11.2024
Technical description: Screen resolution of the applied device
Technical attributes: [Question type:Open] [Format:character] [Valid:11515] [Invalid:0] [Range:-]



r31_enhetstype


Variable label: Determines respondents’ device type
Field period: 04.11.2024 - 25.11.2024
Technical description: Determines respondents’ device type
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 PC 5355 46.5% 0.465045593
2 Touch 6112 53.1% 0.530785931
3 Generic 48 0.4% 0.004168476


r31_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: 04.11.2024 - 25.11.2024
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:11515] [Invalid:0] [Range:-]



r31_getrenderingmode


Variable label: Detects the browsers rendering mode
Field period: 04.11.2024 - 25.11.2024
Technical description: Detects the browsers rendering mode
Technical attributes: [Question type:Open] [Format:character] [Valid:11515] [Invalid:0] [Range:-]



r31_group


Variable label: Subgroup for wave 31.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized for all respondents]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Group 1 2348 20.4% 0.2039079
2 Group 2 2337 20.3% 0.2029527
3 Group 3 2305 20.0% 0.2001737
4 Group 4 2245 19.5% 0.1949631
5 Group 5 2280 19.8% 0.1980026


r31_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: 04.11.2024 - 25.11.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very satisfied 134 1.2% 0.011636995
2 Satisfied 2273 19.7% 0.197394703
3 Somewhat satisfied 4093 35.5% 0.355449414
4 Dissatisfied 3465 30.1% 0.300911854
5 Not satisfied at all 1508 13.1% 0.130959618
97 Not answered 42 0.4% 0.003647416


r31_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: 04.11.2024 - 25.11.2024
Technical description:

[All respondents asked]

[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.]

[Added recoded values from _other-variables]
Technical attributes: [Question type:Single] [Format:integer] [Valid:11515] [Invalid:0] [Range:-]

Value Label Cases Percentage
1 The Christian Democrats 327 2.8% 0.028397742
2 The Conservative Party 2340 20.3% 0.203213200
3 The Progress Party 1732 15.0% 0.150412505
4 The Liberal Party 782 6.8% 0.067911420
5 The Socialist Left Party 1516 13.2% 0.131654364
6 The Centre Party 377 3.3% 0.032739904
7 The Green Party 540 4.7% 0.046895354
8 The Labour Party 1761 15.3% 0.152930960
9 The Red Party 706 6.1% 0.061311333
10 The Industry and Business Party 198 1.7% 0.017194963
11 Would not vote 225 2.0% 0.019539731
12 Would cast a blank vote 405 3.5% 0.035171515
13 Not entitled to vote 177 1.5% 0.015371255
14 Other: 403 3.5% 0.034997829
97 Not answered 26 0.2% 0.002257924


r31_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: 04.11.2024 - 25.11.2024
Technical description:

[All respondents asked]

[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:11515] [Range:-]



r31_pcpam


Variable label: Which political party would you vote for if municipal elections were to take place tomorrow?
Literal question: Which political party would you vote for if municipal elections were to take place tomorrow?
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 1, 2, 3, 4)]

[Answer list display order: Randomized]

[Added recoded values from _other-variables]
Technical attributes: [Question type:Single] [Format:integer] [Valid:11515] [Invalid:0] [Range:-]

Value Label Cases Percentage
1 The Christian Democrats 286 3.1% 0.030969139
2 The Conservative Party 2035 22.0% 0.220357336
3 The Progress Party 939 10.2% 0.101678397
4 The Liberal Party 546 5.9% 0.059122902
5 The Socialist Left Party 998 10.8% 0.108067136
6 The Centre Party 434 4.7% 0.046995127
7 The Green Party 530 5.7% 0.057390363
8 The Labour Party 1679 18.2% 0.181808338
9 The Red Party 528 5.7% 0.057173795
10 People's Party FNB 14 0.2% 0.001515972
11 The Industry and Business Party 154 1.7% 0.016675690
12 A joint party list 18 0.2% 0.001949107
13 A local list 221 2.4% 0.023930698
14 Would not vote 213 2.3% 0.023064429
15 Would cast a blank vote 299 3.2% 0.032376827
16 Not entitled to vote 19 0.2% 0.002057390
17 Other: 279 3.0% 0.030211153
97 Not answered 43 0.5% 0.004656199
98 Not asked 2280 NA


r31_pcpam_17_other


Variable label: Which political party would you vote for if municipal elections were to take place tomorrow?: Other:
Pre-question text: Which political party would you vote for if municipal elections were to take place tomorrow?
Literal question: Other:
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 1, 2, 3, 4)]

[Answer list display order: Randomized]

[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:11515] [Range:-]



r31_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: 04.11.2024 - 25.11.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 1202 10.4% 0.104385584
2 Good 4121 35.8% 0.357881025
3 Quite good 2255 19.6% 0.195831524
4 Neither good nor bad 1189 10.3% 0.103256622
5 Somewhat bad 1622 14.1% 0.140859748
6 Bad 853 7.4% 0.074077290
7 Very bad 231 2.0% 0.020060790
97 Not answered 42 0.4% 0.003647416


r31_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: 04.11.2024 - 25.11.2024
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 Text List] [Format:character] [Valid:0] [Invalid:11515] [Range:-]



r31_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: 04.11.2024 - 25.11.2024
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.]

[Added recoded values from _other-variables]
Technical attributes: [Question type:Open Text List] [Format:integer] [Valid:10850] [Invalid:665] [Range:-]

Value Label Cases Percentage
1001 Health 2286 21.1% 0.2106912442
2002 Environment 1592 14.7% 0.1467281106
3003 Education 911 8.4% 0.0839631336
4004 Public infrastructure 181 1.7% 0.0166820276
5005 Immigration 320 2.9% 0.0294930876
6006 Economy (private and societal) 1750 16.1% 0.1612903226
7007 Labour 225 2.1% 0.0207373272
8008 Welfare 852 7.9% 0.0785253456
9009 Equality 104 1.0% 0.0095852535
1010 Culture 44 0.4% 0.0040552995
1111 Defence 230 2.1% 0.0211981567
1212 Justice 237 2.2% 0.0218433180
1313 Industry and trade 382 3.5% 0.0352073733
1414 Foreign affairs 385 3.5% 0.0354838710
1515 Regional / urban-rural 193 1.8% 0.0177880184
1616 International 110 1.0% 0.0101382488
1717 Senior citizen policies 95 0.9% 0.0087557604
1818 Family 437 4.0% 0.0402764977
1919 Tradition 18 0.2% 0.0016589862
2020 Democracy 59 0.5% 0.0054377880
2121 Ideology 9 0.1% 0.0008294931
2222 Freedom and responsibility) 79 0.7% 0.0072811060
2323 Public and private sector 159 1.5% 0.0146543779
2424 Ethics 86 0.8% 0.0079262673
3030 Other 85 0.8% 0.0078341014
9696 Incomplete answers / Do not know 12 0.1% 0.0011059908
9797 Unanswered 8 0.1% 0.0007373272
1311 1 0.0% 0.0000921659
Sysmiss 665 NA


r31_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: 04.11.2024 - 25.11.2024
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 Text List] [Format:character] [Valid:0] [Invalid:11515] [Range:-]



r31_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: 04.11.2024 - 25.11.2024
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.]

[Added recoded values from _other-variables]
Technical attributes: [Question type:Open Text List] [Format:integer] [Valid:10734] [Invalid:781] [Range:-]

Value Label Cases Percentage
1001 Health 2105 19.6% 0.19610583194
2002 Environment 1359 12.7% 0.12660704304
3003 Education 1363 12.7% 0.12697969070
4004 Public infrastructure 448 4.2% 0.04173653810
5005 Immigration 354 3.3% 0.03297931805
6006 Economy (private and societal) 1274 11.9% 0.11868828023
7007 Labour 236 2.2% 0.02198621204
8008 Welfare 742 6.9% 0.06912614123
9009 Equality 94 0.9% 0.00875722005
1010 Culture 66 0.6% 0.00614868642
1111 Defence 236 2.2% 0.02198621204
1212 Justice 289 2.7% 0.02692379355
1313 Industry and trade 434 4.0% 0.04043227129
1414 Foreign affairs 380 3.5% 0.03540152786
1515 Regional / urban-rural 208 1.9% 0.01937767841
1616 International 108 1.0% 0.01006148686
1717 Senior citizen policies 145 1.4% 0.01350847773
1818 Family 420 3.9% 0.03912800447
1919 Tradition 12 0.1% 0.00111794298
2020 Democracy 46 0.4% 0.00428544811
2121 Ideology 7 0.1% 0.00065213341
2222 Freedom and responsibility) 41 0.4% 0.00381963853
2323 Public and private sector 171 1.6% 0.01593068753
2424 Ethics 63 0.6% 0.00586920067
3030 Other 99 0.9% 0.00922302963
9696 Incomplete answers / Do not know 12 0.1% 0.00111794298
9797 Unanswered 8 0.1% 0.00074529532
2000 1 0.0% 0.00009316192
2220 13 0.1% 0.00121110490
Sysmiss 781 NA


r31_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: 04.11.2024 - 25.11.2024
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 Text List] [Format:character] [Valid:0] [Invalid:11515] [Range:-]



r31_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: 04.11.2024 - 25.11.2024
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.]

[Added recoded values from _other-variables]
Technical attributes: [Question type:Open Text List] [Format:integer] [Valid:10501] [Invalid:1014] [Range:-]

Value Label Cases Percentage
1001 Health 1534 14.6% 0.146081326
2002 Environment 1431 13.6% 0.136272736
3003 Education 1177 11.2% 0.112084563
4004 Public infrastructure 683 6.5% 0.065041425
5005 Immigration 487 4.6% 0.046376536
6006 Economy (private and societal) 1212 11.5% 0.115417579
7007 Labour 237 2.3% 0.022569279
8008 Welfare 661 6.3% 0.062946386
9009 Equality 97 0.9% 0.009237216
1010 Culture 128 1.2% 0.012189315
1111 Defence 253 2.4% 0.024092944
1212 Justice 364 3.5% 0.034663365
1313 Industry and trade 435 4.1% 0.041424626
1414 Foreign affairs 383 3.6% 0.036472717
1515 Regional / urban-rural 230 2.2% 0.021902676
1616 International 146 1.4% 0.013903438
1717 Senior citizen policies 124 1.2% 0.011808399
1818 Family 293 2.8% 0.027902105
1919 Tradition 18 0.2% 0.001714122
2020 Democracy 77 0.7% 0.007332635
2121 Ideology 12 0.1% 0.001142748
2222 Freedom and responsibility) 60 0.6% 0.005713742
2323 Public and private sector 245 2.3% 0.023331111
2424 Ethics 60 0.6% 0.005713742
3030 Other 118 1.1% 0.011237025
9696 Incomplete answers / Do not know 19 0.2% 0.001809351
9797 Unanswered 17 0.2% 0.001618893
Sysmiss 1014 NA


r31_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: 04.11.2024 - 25.11.2024
Technical description:

[All respondents asked]

[The question was added to the survey on the 7th of November. Approximately 5400 respondents had finished the survey at that point.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 596 5.2% 0.05175858
2 Positive 1002 8.7% 0.08701693
3 Somewhat positive 1053 9.1% 0.09144594
4 Neither positive nor negative 906 7.9% 0.07867998
5 Somewhat negative 928 8.1% 0.08059053
6 Negative 902 7.8% 0.07833261
7 Very negative 728 6.3% 0.06322188
97 Not answered 5400 46.9% 0.46895354


r31_dmpfox_ran1


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dmpfox].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 1) and if the respondent has not been exposed to [r29_tmptrx]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2023] [Invalid:9492] [Range:1-2]

Value Label Cases Percentage
1 The Conservative Party 1033 51.1% 0.5106278
2 The Labour Party 990 48.9% 0.4893722
Sysmiss 9492 NA


r31_dmpfox_ran2


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dmpfox].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 1) and if the respondent has not been exposed to [r29_tmptrx]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2023] [Invalid:9492] [Range:1-2]

Value Label Cases Percentage
1 ...has given friends an advantage when making public appointments 1014 50.1% 0.5012358
2 …likes dressing in a provocative manner 1009 49.9% 0.4987642
Sysmiss 9492 NA


r31_dmpfox_ran3


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dmpfox].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 1) and if the respondent has not been exposed to [r29_tmptrx]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2023] [Invalid:9492] [Range:1-2]

Value Label Cases Percentage
1 ...has failed to assess own impartiality when buying shares 987 48.8% 0.4878893
2 …likes having a bit too much to drink at parties 1036 51.2% 0.5121107
Sysmiss 9492 NA


r31_dmpfox_1


Variable label: Agree/Disagree: [r31_dmpfox_ran1] would allow a female politician to continue in a position of trust even though it is known that she: …has provided fraudulent information about commuter expenses/housing
Pre-question text: We would like to know if you agree or disagree that [r31_dmpfox_ran1] allows a female politician to remain in an important position of trust even though it is known that she…
Literal question: …has provided fraudulent information about commuter expenses/housing
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 1) and if the respondent has not been exposed to [r29_tmptrx]]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Completely agree 67 3.3% 0.03311913
2 Agree somewhat 99 4.9% 0.04893722
3 Neither agree nor disagree 178 8.8% 0.08798814
4 Disagree somewhat 522 25.8% 0.25803262
5 Completely disagree 1144 56.5% 0.56549679
97 Not answered 13 0.6% 0.00642610
98 Not asked 9492 NA


r31_dmpfox_2


Variable label: Agree/Disagree: [r31_dmpfox_ran1] would allow a female politician to continue in a position of trust even though it is known that she: [r31_dmpfox_ran2]
Pre-question text: We would like to know if you agree or disagree that [r31_dmpfox_ran1] allows a female politician to remain in an important position of trust even though it is known that she…
Literal question: [r31_dmpfox_ran2]
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 1) and if the respondent has not been exposed to [r29_tmptrx]]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Completely agree 308 15.2% 0.152249135
2 Agree somewhat 193 9.5% 0.095402867
3 Neither agree nor disagree 466 23.0% 0.230350964
4 Disagree somewhat 287 14.2% 0.141868512
5 Completely disagree 758 37.5% 0.374691053
97 Not answered 11 0.5% 0.005437469
98 Not asked 9492 NA


r31_dmpfox_3


Variable label: Agree/Disagree: [r31_dmpfox_ran1] would allow a female politician to continue in a position of trust even though it is known that she: [r31_dmpfox_ran3]
Pre-question text: We would like to know if you agree or disagree that [r31_dmpfox_ran1] allows a female politician to remain in an important position of trust even though it is known that she…
Literal question: [r31_dmpfox_ran3]
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 1) and if the respondent has not been exposed to [r29_tmptrx]]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Completely agree 201 9.9% 0.09935739
2 Agree somewhat 244 12.1% 0.12061295
3 Neither agree nor disagree 483 23.9% 0.23875433
4 Disagree somewhat 454 22.4% 0.22441918
5 Completely disagree 628 31.0% 0.31043005
97 Not answered 13 0.6% 0.00642610
98 Not asked 9492 NA


r31_dmpfox_4


Variable label: Agree/Disagree: [r31_dmpfox_ran1] would allow a female politician to continue in a position of trust even though it is known that she: …has subjected a young politician to sexual harassment
Pre-question text: We would like to know if you agree or disagree that [r31_dmpfox_ran1] allows a female politician to remain in an important position of trust even though it is known that she…
Literal question: …has subjected a young politician to sexual harassment
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 1) and if the respondent has not been exposed to [r29_tmptrx]]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Completely agree 54 2.7% 0.026693030
2 Agree somewhat 40 2.0% 0.019772615
3 Neither agree nor disagree 140 6.9% 0.069204152
4 Disagree somewhat 233 11.5% 0.115175482
5 Completely disagree 1544 76.3% 0.763222936
97 Not answered 12 0.6% 0.005931784
98 Not asked 9492 NA


r31_dmpfox_5


Variable label: Agree/Disagree: [r31_dmpfox_ran1] would allow a female politician to continue in a position of trust even though it is known that she: …has spread false rumours about a party colleague in public
Pre-question text: We would like to know if you agree or disagree that [r31_dmpfox_ran1] allows a female politician to remain in an important position of trust even though it is known that she…
Literal question: …has spread false rumours about a party colleague in public
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 1) and if the respondent has not been exposed to [r29_tmptrx]]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Completely agree 48 2.4% 0.023727138
2 Agree somewhat 65 3.2% 0.032130499
3 Neither agree nor disagree 211 10.4% 0.104300544
4 Disagree somewhat 494 24.4% 0.244191794
5 Completely disagree 1190 58.8% 0.588235294
97 Not answered 15 0.7% 0.007414731
98 Not asked 9492 NA


r31_eqdiw


Variable label: Agree/Disagree: Discrimination against women is no longer a problem in Norway.
Literal question:

To what extent do you agree or disagree with the statement below?

Discrimination against women is no longer a problem in Norway.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 71 3.0% 0.030238501
2 Agree 236 10.1% 0.100511073
3 Agree somewhat 339 14.4% 0.144378194
4 Neither agree nor disagree 211 9.0% 0.089863714
5 Disagree somewhat 667 28.4% 0.284071550
6 Disagree 580 24.7% 0.247018739
7 Strongly disagree 234 10.0% 0.099659284
97 Not answered 10 0.4% 0.004258944
98 Not asked 9167 NA


r31_eqgnf


Variable label: Agree/Disagree: Whether a person is male or female depends on whether they feel like a man or a woman.
Literal question:

To what extent do you agree or disagree with the statement below?

Whether a person is male or female depends on whether they feel like a man or a woman.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 174 7.4% 0.07410562
2 Agree 391 16.7% 0.16652470
3 Agree somewhat 273 11.6% 0.11626917
4 Neither agree nor disagree 497 21.2% 0.21166951
5 Disagree somewhat 259 11.0% 0.11030664
6 Disagree 346 14.7% 0.14735945
7 Strongly disagree 377 16.1% 0.16056218
97 Not answered 31 1.3% 0.01320273
98 Not asked 9167 NA


r31_fakinx_ran1


Variable label: Experiment. Randomly selects an element for textpiping in [r31_fakinx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2345] [Invalid:9170] [Range:1-2]

Value Label Cases Percentage
1 BLANK 1131 48.2% 0.4823028
2 does not 1214 51.8% 0.5176972
Sysmiss 9170 NA


r31_fakinx_ran2


Variable label: Experiment. Randomly selects an element for textpiping in [r31_fakinx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2345] [Invalid:9170] [Range:1-3]

Value Label Cases Percentage
1 Your child has some learning difficulties that will very likely affect their future achievements at school. 754 32.2% 0.3215352
2 Your child finds learning easy and is interested in letters and numbers. 805 34.3% 0.3432836
3 BLANK 786 33.5% 0.3351812
Sysmiss 9170 NA


r31_fakinx_1


Variable label: Agree/Disagree: limited the time my child was in kindergarten
Pre-question text:

Imagine a situation where:

You have a child who goes to kindergarten. The kindergarten staff [r31_fakinx_ran1] meet the formal requirements for education among kindergarten staff. The kindergarten is a bit too far away from home.

[r31_fakinx_ran2]

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

I would have…
Literal question: …limited the time my child was in kindergarten
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 1)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 Completely disagree 0 422 18.0% 0.17972743
1 1 180 7.7% 0.07666099
2 2 288 12.3% 0.12265758
3 3 276 11.8% 0.11754685
4 4 130 5.5% 0.05536627
5 5 365 15.5% 0.15545145
6 6 121 5.2% 0.05153322
7 7 193 8.2% 0.08219761
8 8 125 5.3% 0.05323680
9 9 43 1.8% 0.01831346
10 Completely agree 10 132 5.6% 0.05621806
97 Not answered 73 3.1% 0.03109029
98 Not asked 9167 NA


r31_fakinx_2


Variable label: Agree/Disagree: felt my child was safely looked after in kindergarten
Pre-question text:

Imagine a situation where:

You have a child who goes to kindergarten. The kindergarten staff [r31_fakinx_ran1] meet the formal requirements for education among kindergarten staff. The kindergarten is a bit too far away from home.

[r31_fakinx_ran2]

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

I would have…
Literal question: …felt my child was safely looked after in kindergarten
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 1)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 Completely disagree 0 44 1.9% 0.01873935
1 1 32 1.4% 0.01362862
2 2 65 2.8% 0.02768313
3 3 114 4.9% 0.04855196
4 4 121 5.2% 0.05153322
5 5 276 11.8% 0.11754685
6 6 192 8.2% 0.08177172
7 7 329 14.0% 0.14011925
8 8 402 17.1% 0.17120954
9 9 266 11.3% 0.11328790
10 Completely agree 10 443 18.9% 0.18867121
97 Not answered 64 2.7% 0.02725724
98 Not asked 9167 NA


r31_fakinx_3


Variable label: Agree/Disagree: changed my daily life in order to follow up my child
Pre-question text:

Imagine a situation where:

You have a child who goes to kindergarten. The kindergarten staff [r31_fakinx_ran1] meet the formal requirements for education among kindergarten staff. The kindergarten is a bit too far away from home.

[r31_fakinx_ran2]

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

I would have…
Literal question: … changed my daily life in order to follow up my child
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 1)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 Completely disagree 0 146 6.2% 0.06218058
1 1 82 3.5% 0.03492334
2 2 141 6.0% 0.06005111
3 3 181 7.7% 0.07708688
4 4 133 5.7% 0.05664395
5 5 382 16.3% 0.16269165
6 6 232 9.9% 0.09880750
7 7 319 13.6% 0.13586031
8 8 299 12.7% 0.12734242
9 9 122 5.2% 0.05195911
10 Completely agree 10 243 10.3% 0.10349233
97 Not answered 68 2.9% 0.02896082
98 Not asked 9167 NA


r31_fakinx_4


Variable label: Agree/Disagree: tried to switch kindergarten
Pre-question text:

Imagine a situation where:

You have a child who goes to kindergarten. The kindergarten staff [r31_fakinx_ran1] meet the formal requirements for education among kindergarten staff. The kindergarten is a bit too far away from home.

[r31_fakinx_ran2]

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

I would have…
Literal question: … tried to switch kindergarten
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 1)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 Completely disagree 0 227 9.7% 0.09667802
1 1 91 3.9% 0.03875639
2 2 132 5.6% 0.05621806
3 3 148 6.3% 0.06303237
4 4 103 4.4% 0.04386712
5 5 389 16.6% 0.16567291
6 6 156 6.6% 0.06643952
7 7 221 9.4% 0.09412266
8 8 246 10.5% 0.10477002
9 9 170 7.2% 0.07240204
10 Completely agree 10 401 17.1% 0.17078365
97 Not answered 64 2.7% 0.02725724
98 Not asked 9167 NA


r31_fakoc


Variable label: Do you have or have you had children in a Norwegian kindergarten?
Literal question: Do you have or have you had children in a Norwegian kindergarten?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 1544 65.8% 0.65758092
2 No 778 33.1% 0.33134583
97 Not answered 26 1.1% 0.01107325
98 Not asked 9167 NA


r31_fakocy_1


Variable label: When did your/your children attend kindergarten: Before 1980
Pre-question text: When did your child/children attend kindergarten?
Literal question: Before 1980
Post-question: Several answers are possible.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_fakoc = 1) & (r31_group = 1)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:11515] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 184 11.9% 0.1191709845
0 Not selected 1359 88.0% 0.8801813472
97 Not answered 1 0.1% 0.0006476684
98 Not asked 9971 NA


r31_fakocy_2


Variable label: When did your/your children attend kindergarten: 1980s
Pre-question text: When did your child/children attend kindergarten?
Literal question: The 80s
Post-question: Several answers are possible.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_fakoc = 1) & (r31_group = 1)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:11515] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 410 26.6% 0.2655440415
0 Not selected 1133 73.4% 0.7338082902
97 Not answered 1 0.1% 0.0006476684
98 Not asked 9971 NA


r31_fakocy_3


Variable label: When did your/your children attend kindergarten: 1990s
Pre-question text: When did your child/children attend kindergarten?
Literal question: The 90s
Post-question: Several answers are possible.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_fakoc = 1) & (r31_group = 1)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:11515] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 520 33.7% 0.3367875648
0 Not selected 1023 66.3% 0.6625647668
97 Not answered 1 0.1% 0.0006476684
98 Not asked 9971 NA


r31_fakocy_4


Variable label: When did your/your children attend kindergarten: 2000s
Pre-question text: When did your child/children attend kindergarten?
Literal question: The 2000s
Post-question: Several answers are possible.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_fakoc = 1) & (r31_group = 1)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:11515] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 464 30.1% 0.3005181347
0 Not selected 1079 69.9% 0.6988341969
97 Not answered 1 0.1% 0.0006476684
98 Not asked 9971 NA


r31_fakocy_5


Variable label: When did your/your children attend kindergarten: 2010s
Pre-question text: When did your child/children attend kindergarten?
Literal question: The 2010s
Post-question: Several answers are possible.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_fakoc = 1) & (r31_group = 1)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:11515] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 348 22.5% 0.2253886010
0 Not selected 1195 77.4% 0.7739637306
97 Not answered 1 0.1% 0.0006476684
98 Not asked 9971 NA


r31_fakocy_6


Variable label: When did your/your children attend kindergarten: 2020s
Pre-question text: When did your child/children attend kindergarten?
Literal question: The 2020s
Post-question: Several answers are possible.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_fakoc = 1) & (r31_group = 1)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:11515] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 179 11.6% 0.1159326425
0 Not selected 1364 88.3% 0.8834196891
97 Not answered 1 0.1% 0.0006476684
98 Not asked 9971 NA


r31_fakoce


Variable label: Do you know what education the kindergarten staff have/had?
Literal question: Do you know what education the kindergarten staff have/had?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_fakoc = 1) & (r31_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Yes, I know about the education of some of them 856 55.4% 0.554404145
2 Yes, I know the education of all of them 255 16.5% 0.165155440
3 No, I don't know what education they had 431 27.9% 0.279145078
97 Not answered 2 0.1% 0.001295337
98 Not asked 9971 NA


r31_fakes


Variable label: What percentage of kindergarten staff do you think should have kindergarten/preschool teacher training or the equivalent?
Literal question: What percentage of kindergarten staff do you think should have kindergarten/preschool teacher training or the equivalent?
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 1)]

[The respondent answered using a slider.]
Technical attributes: [Question type:Numeric] [Format:numeric] [Valid:2298] [Invalid:9217] [Range:0-100]



r31_fakqu_1


Variable label: What qualifications and qualities do you think are most important for those working with children in kindergartens: Caregiving ability
Pre-question text: What qualifications and qualities do you think are most important for those working with children in kindergartens?
Literal question: Caregiving ability
Post-question: Please rate the following alternatives on a scale of 1 to 4 by clicking on them in order, where 1 is the most important and 4 is the least important:
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 1)]

[Answer list display order: Randomized]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Ranked care provision ability as number 1 1425 60.7% 0.60689949
2 Ranked care provision ability as number 2 615 26.2% 0.26192504
3 Ranked care provision ability as number 3 180 7.7% 0.07666099
4 Ranked care provision ability as number 4 40 1.7% 0.01703578
97 Not answered 88 3.7% 0.03747871
98 Not asked 9167 NA


r31_fakqu_2


Variable label: What qualifications and qualities do you think are most important for those working with children in kindergartens: Education (kindergarten teacher/preschool teacher)
Pre-question text: What qualifications and qualities do you think are most important for those working with children in kindergartens?
Literal question: Education (kindergarten teacher/preschool teacher)
Post-question: Please rate the following alternatives on a scale of 1 to 4 by clicking on them in order, where 1 is the most important and 4 is the least important:
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 1)]

[Answer list display order: Randomized]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Ranked education (kindergarten teacher/preschool teacher) as number 1 643 27.4% 0.2738501
2 Ranked education (kindergarten teacher/preschool teacher) as number 2 731 31.1% 0.3113288
3 Ranked education (kindergarten teacher/preschool teacher) as number 3 488 20.8% 0.2078365
4 Ranked education (kindergarten teacher/preschool teacher) as number 4 308 13.1% 0.1311755
97 Not answered 178 7.6% 0.0758092
98 Not asked 9167 NA


r31_fakqu_3


Variable label: What qualifications and qualities do you think are most important for those working with children in kindergartens: Experience
Pre-question text: What qualifications and qualities do you think are most important for those working with children in kindergartens?
Literal question: Experience
Post-question: Please rate the following alternatives on a scale of 1 to 4 by clicking on them in order, where 1 is the most important and 4 is the least important:
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 1)]

[Answer list display order: Randomized]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Ranked experience as number 1 175 7.5% 0.07453152
2 Ranked experience as number 2 541 23.0% 0.23040886
3 Ranked experience as number 3 832 35.4% 0.35434412
4 Ranked experience as number 4 587 25.0% 0.25000000
97 Not answered 213 9.1% 0.09071550
98 Not asked 9167 NA


r31_fakqu_4


Variable label: What qualifications and qualities do you think are most important for those working with children in kindergartens: Structure/order
Pre-question text: What qualifications and qualities do you think are most important for those working with children in kindergartens?
Literal question: Structure/order
Post-question: Please rate the following alternatives on a scale of 1 to 4 by clicking on them in order, where 1 is the most important and 4 is the least important:
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 1)]

[Answer list display order: Randomized]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Ranked structure/order as number 1 78 3.3% 0.03321976
2 Ranked structure/order as number 2 303 12.9% 0.12904600
3 Ranked structure/order as number 3 609 25.9% 0.25936968
4 Ranked structure/order as number 4 1089 46.4% 0.46379898
97 Not answered 269 11.5% 0.11456559
98 Not asked 9167 NA


r31_dmaik


Variable label: How much would you say you know about machine learning and artificial intelligence?
Literal question:

Machine learning is often referred to as artificial intelligence. Using machine learning involves getting computers to learn how to solve tasks based on data. Computers can often become extremely accurate, although this typically requires a lot of data. Today, machine learning provides the basis for a wide range of services and products, such as search engines, product recommendations, voice recognition, driverless cars, chatGPT and much more.

Generally speaking, how much would you say you know about machine learning and artificial intelligence?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A great deal 94 4.0% 0.040034072
2 A lot 362 15.4% 0.154173765
3 A bit 952 40.5% 0.405451448
4 Not much 710 30.2% 0.302385009
5 Nothing at all 209 8.9% 0.089011925
97 Not answered 21 0.9% 0.008943782
98 Not asked 9167 NA


r31_dmaip


Variable label: Improvement/deterioration of public services: Norwegian authorities’ use of machine learning and artificial intelligence to automate certain tasks and to provide information for decisions.
Literal question: In some cases, public administration uses machine learning. Machine learning can be used to fully automate certain tasks and to provide decision makers with information or suggestions. Based on what you know, do you think the Norwegian authorities’ use of machine learning and artificial intelligence will lead to an improvement or a deterioration of public services?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 Great improvement 69 2.9% 0.029386712
2 Improvement 560 23.9% 0.238500852
3 Some improvement 845 36.0% 0.359880750
4 Neither improvement nor deterioration 288 12.3% 0.122657581
5 Some deterioration 231 9.8% 0.098381601
6 Deterioration 111 4.7% 0.047274276
7 Great deterioration 24 1.0% 0.010221465
8 Don't know 197 8.4% 0.083901193
97 Not answered 23 1.0% 0.009795571
98 Not asked 9167 NA


r31_dmaiw


Variable label: How worried are you about the use of machine learning and artificial intelligence in public administration?
Pre-question text: In the future, public administration may use artificial intelligence to help make decisions on certain issues. The aim is to reduce costs and processing time, and to make decisions better and more accurate. One example might be to teach a computer to predict approximately how long a person will be on sick leave based on information about the illness and the person. A case officer can then use this to choose appropriate measures. Other examples include using artificial intelligence to settle refugees in municipalities, and to assess whether prison inmates should be granted parole or not.
Literal question: How worried –or not––are you about the use of machine learning and artificial intelligence in public administration?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very worried 121 5.2% 0.05153322
2 Worried 371 15.8% 0.15800681
3 Somewhat worried 930 39.6% 0.39608177
4 Not very worried 813 34.6% 0.34625213
5 Not at all worried 83 3.5% 0.03534923
97 Not answered 30 1.3% 0.01277683
98 Not asked 9167 NA


r31_plpsm


Variable label: Agree/Disagree: I am very motivated to contribute to society.
Literal question:

To what extent do you agree or disagree with the following statement?

I am very motivated to contribute to society.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Completely agree 890 37.9% 0.379045997
2 Agree somewhat 1013 43.1% 0.431431005
3 Neither agree nor disagree 320 13.6% 0.136286201
4 Disagree somewhat 81 3.4% 0.034497445
5 Completely disagree 20 0.9% 0.008517888
97 Not answered 24 1.0% 0.010221465
98 Not asked 9167 NA


r31_plpsc


Variable label: Agree/Disagree: I find it very motivating to actively contribute to society.
Literal question:

To what extent do you agree or disagree with the following statement?

I find it very motivating to actively contribute to society.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Completely agree 718 30.6% 0.305792164
2 Agree somewhat 1037 44.2% 0.441652470
3 Neither agree nor disagree 398 17.0% 0.169505963
4 Disagree somewhat 118 5.0% 0.050255537
5 Completely disagree 23 1.0% 0.009795571
97 Not answered 54 2.3% 0.022998296
98 Not asked 9167 NA


r31_plpsd


Variable label: Agree/Disagree: Making a difference in society, no matter how small, is very important to me.
Literal question:

To what extent do you agree or disagree with the following statement?

Making a difference in society, no matter how small, is very important to me.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Completely agree 748 31.9% 0.31856899
2 Agree somewhat 978 41.7% 0.41652470
3 Neither agree nor disagree 412 17.5% 0.17546848
4 Disagree somewhat 121 5.2% 0.05153322
5 Completely disagree 41 1.7% 0.01746167
97 Not answered 48 2.0% 0.02044293
98 Not asked 9167 NA


r31_plpsi


Variable label: Agree/Disagree: Protecting the interests of the community is very important to me.
Literal question:

To what extent do you agree or disagree with the following statement?

Protecting the interests of the community is very important to me.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Completely agree 1099 46.8% 0.468057922
2 Agree somewhat 905 38.5% 0.385434412
3 Neither agree nor disagree 232 9.9% 0.098807496
4 Disagree somewhat 51 2.2% 0.021720613
5 Completely disagree 14 0.6% 0.005962521
97 Not answered 47 2.0% 0.020017036
98 Not asked 9167 NA


r31_inruw


Variable label: Agree/Disagree: Norway has no moral obligation to support Ukraine in its fight against Russia.
Literal question:

To what extent do you agree or disagree with the following statement?

Norway has no moral obligation to support Ukraine in its fight against Russia.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 74 3.2% 0.031516184
2 Agree 97 4.1% 0.041311755
3 Agree somewhat 155 6.6% 0.066013629
4 Neither agree nor disagree 150 6.4% 0.063884157
5 Disagree somewhat 348 14.8% 0.148211244
6 Disagree 774 33.0% 0.329642249
7 Strongly disagree 727 31.0% 0.309625213
97 Not answered 23 1.0% 0.009795571
98 Not asked 9167 NA


r31_tcdho


Variable label: Have you ever ordered a package and had it delivered to your home?
Literal question: Have you ever ordered a package and had it delivered to your home?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if the respondent lives in a municipality with 10 000 inhabitants or more (r31_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Yes 1896 91.5% 0.914616498
2 No 140 6.8% 0.067534973
3 No, but I plan to do so in the near future 12 0.6% 0.005788712
97 Not answered 25 1.2% 0.012059817
98 Not asked 9442 NA


r31_tcdpr


Variable label: Which package delivery alternative would you choose?
Literal question:

Imagine that you are going to choose delivery for a package you order. Which of the delivery options below would you choose?

Alternative 1: Price: Free of charge, Delivery time: 5 working days, Place of delivery: Post-in-store

Alternative 2 Price: NOK 49, Delivery time: 2 working days, Place of delivery: Parcel locker

Alternative 3: Price: NOK 99, Delivery time: 2 working days, Place of delivery: Delivered to your door
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 1) & (r31_tcdho = 1,3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Alternative 1 1556 81.6% 0.815513627
2 Alternative 2 239 12.5% 0.125262055
3 Alternative 3 107 5.6% 0.056079665
97 Not answered 6 0.3% 0.003144654
98 Not asked 9607 NA


r31_tcdim_1


Variable label: Most important when ordering a package to be delivered to your home: Freight costs
Pre-question text: What do you consider most important when ordering a package to your home?
Literal question: Freight costs
Post-question: Rank the alternatives below from most important to least important
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 1) & (r31_tcdho = 1,3)]

[Answer list display order: Randomized]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Ranked freight costs as number 1 1189 62.3% 0.6231656
2 Ranked freight costs as number 2 354 18.6% 0.1855346
3 Ranked freight costs as number 3 210 11.0% 0.1100629
97 Not answered 155 8.1% 0.0812369
98 Not asked 9607 NA


r31_tcdim_2


Variable label: Most important when ordering a package to be delivered to your home: Delivery time
Pre-question text: What do you consider most important when ordering a package to your home?
Literal question: Delivery time
Post-question: Rank the alternatives below from most important to least important
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 1) & (r31_tcdho = 1,3)]

[Answer list display order: Randomized]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Ranked delivery time as number 1 282 14.8% 0.1477987
2 Ranked delivery time as number 2 618 32.4% 0.3238994
3 Ranked delivery time as number 3 734 38.5% 0.3846960
97 Not answered 274 14.4% 0.1436059
98 Not asked 9607 NA


r31_tcdim_3


Variable label: Most important when ordering a package to be delivered to your home: Place of delivery
Pre-question text: What do you consider most important when ordering a package to your home?
Literal question: Place of delivery
Post-question: Rank the alternatives below from most important to least important
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 1) & (r31_tcdho = 1,3)]

[Answer list display order: Randomized]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Ranked place of delivery as number 1 422 22.1% 0.2211740
2 Ranked place of delivery as number 2 637 33.4% 0.3338574
3 Ranked place of delivery as number 3 629 33.0% 0.3296646
97 Not answered 220 11.5% 0.1153040
98 Not asked 9607 NA


r31_tcrfp_1


Variable label: Positive/Negative: Measures to limit the consequences of increased freight: Freight costs should always cover what it actually costs to deliver something, so the sender can’t offer ‘free’ shipping
Pre-question text:

Home delivery of parcels and new delivery services have increased the transport of goods in Norway. As mentioned, this can have consequences such as increased traffic, energy consumption and emissions, as well as more demanding prioritisation of space.

If one tried to limit the consequences of increased freight, what type of measures would you be positive or negative about?
Literal question: Freight costs should always cover what it actually costs to deliver something, so the sender can’t offer ‘free’ shipping
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 1) and if the respondent lives in a municipality with 10 000 inhabitants or more]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very positive 344 16.6% 0.16594308
2 Somewhat positive 567 27.4% 0.27351664
3 Neither positive nor negative 572 27.6% 0.27592861
4 Somewhat negative 344 16.6% 0.16594308
5 Very negative 199 9.6% 0.09599614
97 Not answered 47 2.3% 0.02267246
98 Not asked 9442 NA


r31_tcrfp_2


Variable label: Positive/Negative: Measures to limit the consequences of increased freight: Requirements for vans to be filled up to a minimum threshold, which could lead to increased delivery times
Pre-question text:

Home delivery of parcels and new delivery services have increased the transport of goods in Norway. As mentioned, this can have consequences such as increased traffic, energy consumption and emissions, as well as more demanding prioritisation of space.

If one tried to limit the consequences of increased freight, what type of measures would you be positive or negative about?
Literal question: Requirements for vans to be filled up to a minimum threshold, which could lead to increased delivery times
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 1) and if the respondent lives in a municipality with 10 000 inhabitants or more]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very positive 515 24.8% 0.24843222
2 Somewhat positive 855 41.2% 0.41244573
3 Neither positive nor negative 363 17.5% 0.17510854
4 Somewhat negative 214 10.3% 0.10323203
5 Very negative 80 3.9% 0.03859141
97 Not answered 46 2.2% 0.02219006
98 Not asked 9442 NA


r31_tcrfp_3


Variable label: Positive/Negative: Measures to limit the consequences of increased freight: Increased use of pick-up points instead of home delivery
Pre-question text:

Home delivery of parcels and new delivery services have increased the transport of goods in Norway. As mentioned, this can have consequences such as increased traffic, energy consumption and emissions, as well as more demanding prioritisation of space.

If one tried to limit the consequences of increased freight, what type of measures would you be positive or negative about?
Literal question: Increased use of pick-up points instead of home delivery
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 1) and if the respondent lives in a municipality with 10 000 inhabitants or more]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very positive 893 43.1% 0.43077665
2 Somewhat positive 682 32.9% 0.32899180
3 Neither positive nor negative 269 13.0% 0.12976363
4 Somewhat negative 131 6.3% 0.06319344
5 Very negative 55 2.7% 0.02653160
97 Not answered 43 2.1% 0.02074288
98 Not asked 9442 NA


r31_tcrfm_1


Variable label: Positive/negative to measures limiting the consequences of increased freight: The state must set rules against ‘running empty’ – vehicles that do not have a full load
Pre-question text: If we want to limit the consequences of increased freight, measures can be introduced. How positive or negative would you be to the proposals below?
Literal question: The state must set rules against ‘running empty’ – vehicles that do not have a full load
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 1) and if the respondent lives in a municipality with 10 000 inhabitants or more]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very positive 418 20.2% 0.20164014
2 Somewhat positive 690 33.3% 0.33285094
3 Neither positive nor negative 423 20.4% 0.20405210
4 Somewhat negative 290 14.0% 0.13989387
5 Very negative 201 9.7% 0.09696093
97 Not answered 51 2.5% 0.02460203
98 Not asked 9442 NA


r31_tcrfm_2


Variable label: Positive/negative to measures limiting the consequences of increased freight: The municipality must provide shared freight terminals in central areas instead of having scattered terminals that take up a lot of space
Pre-question text: If we want to limit the consequences of increased freight, measures can be introduced. How positive or negative would you be to the proposals below?
Literal question: The municipality must provide shared freight terminals in central areas instead of having scattered terminals that take up a lot of space
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 1) and if the respondent lives in a municipality with 10 000 inhabitants or more]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very positive 362 17.5% 0.17462615
2 Somewhat positive 699 33.7% 0.33719247
3 Neither positive nor negative 640 30.9% 0.30873131
4 Somewhat negative 216 10.4% 0.10419682
5 Very negative 105 5.1% 0.05065123
97 Not answered 51 2.5% 0.02460203
98 Not asked 9442 NA


r31_tcrfm_3


Variable label: Positive/negative to measures limiting the consequences of increased freight: Companies must stop offering free shipping
Pre-question text: If we want to limit the consequences of increased freight, measures can be introduced. How positive or negative would you be to the proposals below?
Literal question: Companies must stop offering free shipping
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 1) and if the respondent lives in a municipality with 10 000 inhabitants or more]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very positive 259 12.5% 0.12493970
2 Somewhat positive 434 20.9% 0.20935842
3 Neither positive nor negative 555 26.8% 0.26772793
4 Somewhat negative 456 22.0% 0.21997106
5 Very negative 317 15.3% 0.15291848
97 Not answered 52 2.5% 0.02508442
98 Not asked 9442 NA


r31_tcrfm_4


Variable label: Positive/negative to measures limiting the consequences of increased freight: Companies need to collaborate on deliveries so they don’t have to drive as much
Pre-question text: If we want to limit the consequences of increased freight, measures can be introduced. How positive or negative would you be to the proposals below?
Literal question: Companies need to collaborate on deliveries so they don’t have to drive as much
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 1) and if the respondent lives in a municipality with 10 000 inhabitants or more]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very positive 820 39.6% 0.39556199
2 Somewhat positive 772 37.2% 0.37240714
3 Neither positive nor negative 307 14.8% 0.14809455
4 Somewhat negative 74 3.6% 0.03569706
5 Very negative 54 2.6% 0.02604920
97 Not answered 46 2.2% 0.02219006
98 Not asked 9442 NA


r31_tcrfm_5


Variable label: Positive/negative to measures limiting the consequences of increased freight: People must order less and shop in physical stores instead
Pre-question text: If we want to limit the consequences of increased freight, measures can be introduced. How positive or negative would you be to the proposals below?
Literal question: People must order less and shop in physical stores instead
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 1) and if the respondent lives in a municipality with 10 000 inhabitants or more]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very positive 581 28.0% 0.28027014
2 Somewhat positive 595 28.7% 0.28702364
3 Neither positive nor negative 431 20.8% 0.20791124
4 Somewhat negative 284 13.7% 0.13699952
5 Very negative 134 6.5% 0.06464062
97 Not answered 48 2.3% 0.02315485
98 Not asked 9442 NA


r31_tcrfm_6


Variable label: Positive/negative to measures limiting the consequences of increased freight: People mustn’t buy as many things
Pre-question text: If we want to limit the consequences of increased freight, measures can be introduced. How positive or negative would you be to the proposals below?
Literal question: People mustn’t buy as many things
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 1) and if the respondent lives in a municipality with 10 000 inhabitants or more]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very positive 849 41.0% 0.40955137
2 Somewhat positive 590 28.5% 0.28461167
3 Neither positive nor negative 355 17.1% 0.17124940
4 Somewhat negative 115 5.5% 0.05547516
5 Very negative 115 5.5% 0.05547516
97 Not answered 49 2.4% 0.02363724
98 Not asked 9442 NA


r31_tctpr


Variable label: To what extent is traffic a problem in your area?
Literal question: To what extent is traffic a problem in the area where you live? By ‘traffic’ we mean motorised vehicles, such as cars, buses, lorries and the like.
Post-question: By “traffic” think of motorised vehicles such as cars, busses, trucks and similar.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 1) and if the respondent lives in a municipality with 10 000 inhabitants or more]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 104 5.0% 0.05016884
2 A high degree 256 12.3% 0.12349252
3 Some degree 647 31.2% 0.31210806
4 A low degree 765 36.9% 0.36903039
5 Not at all 262 12.6% 0.12638688
97 Not answered 39 1.9% 0.01881331
98 Not asked 9442 NA


r31_meicox_ran1


Variable label: Experiment. Randomly selects an element for textpiping in [r31_meicox_1].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2319] [Invalid:9196] [Range:1-3]

Value Label Cases Percentage
1 BLANK 788 34.0% 0.3398016
2 During their cooperation the woman has been accused of creating content on her own channels that contributes towards body image pressure. 766 33.0% 0.3303148
3 During their collaboration, the woman has made hateful and racist statements at a nightclub. 765 33.0% 0.3298836
Sysmiss 9196 NA


r31_meicox_ran2


Variable label: Experiment. Randomly selects an element for textpiping in [r31_meicox_1].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 1)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2319] [Invalid:9196] [Range:1-2]

Value Label Cases Percentage
1 BLANK 1134 48.9% 0.4890039
2 VG is now wanting to end its collaboration with the woman. 1185 51.1% 0.5109961
Sysmiss 9196 NA


r31_meicox_1


Variable label: Degree of trust: Information published by VG after reading about their cooperation with a female influencer
Literal question:

Imagine that the newspaper VG has previously entered into cooperation with a 24-year-old woman who is known for sharing content on social media. She has a lot of young followers who follow her daily and occasionally she shares content that creates reactions. As a result of her cooperation with VG she is the host of VGTV.

[r31_meicox_ran1]

[r31_meicox_ran2]

To what extent do you have confidence in the information published by VG after having read about their cooperation with this woman?
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 1)]

[Displayed on the same page with [r31_meicox_2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very high confidence 23 1.0% 0.009795571
2 High confidence 236 10.1% 0.100511073
3 Some confidence 718 30.6% 0.305792164
4 Low confidence 1015 43.2% 0.432282794
5 No confidence at all 297 12.6% 0.126490630
97 Not answered 59 2.5% 0.025127768
98 Not asked 9167 NA


r31_meicox_2


Variable label: Positive/negative: Impression of VG after reading about their cooperation with the woman?
Pre-question text:

Imagine that the newspaper VG has previously entered into cooperation with a 24-year-old woman who is known for sharing content on social media. She has a lot of young followers who watch her daily and occasionally she shares content that creates reactions. As a result of her cooperation with VG she is the host of VGTV.

[r31_meicox_ran1]

[r31_meicox_ran2]

To what extent do you have confidence in the information published in VG after having read about their cooperation with this woman?
Literal question: How positive or negative is your impression of VG after reading about their cooperation with this woman?
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 1)]

[Displayed on the same page with [r31_meicox_1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positively 7 0.3% 0.002981261
2 Positively 102 4.3% 0.043441227
3 Somewhat positively 136 5.8% 0.057921635
4 Neither positively nor negatively 597 25.4% 0.254258944
5 Somewhat negatively 700 29.8% 0.298126065
6 Negatively 547 23.3% 0.232964225
7 Very negatively 202 8.6% 0.086030664
97 Not answered 57 2.4% 0.024275980
98 Not asked 9167 NA


r31_pohpqx_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_pohpqx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 2)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2337] [Invalid:9178] [Range:1-5]

Value Label Cases Percentage
1 Anna Pedersen is 40 years old, is a qualified nurse and has worked for 8 years in the health sector. She has recently become a party member, but has not previously held political office. 438 18.7% 0.1874198
2 Anna Pedersen is 40 years old, is a qualified doctor and has worked for 8 years in the health sector. She has recently become a party member, but has not previously held political office. 508 21.7% 0.2173727
3 Anna Pedersen is 40 years old. After secondary school she worked for a kindergarten. She has always been politically active and has been the mayor of her home municipality for the past 8 years. 463 19.8% 0.1981172
4 Anna Pedersen is 40 years old. After secondary school she worked for a kindergarten. She has always been politically active and has been a political adviser at the party office in Oslo for the last 8 years. 456 19.5% 0.1951220
5 Anna Pedersen is 40 years old, is a qualified nurse and has worked for 8 years in the health sector. She has always been politically active and has been the mayor of her home municipality for the past 8 years. 472 20.2% 0.2019683
Sysmiss 9178 NA


r31_pohpqx_1


Variable label: To what extent do you think Anna Pedersen is suitable as: Parliamentary politician on the Standing Committee on Health and Care Services
Pre-question text:

Below is a fictional person who is relevant for several political positions.

[r31_pohpqx_ran]

To what extent do you think Anna Pedersen would be suitable as:
Literal question: Parliamentary politician on the Standing Committee on Health and Care Services
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very low degree 114 4.9% 0.04878049
2 A low degree 246 10.5% 0.10526316
3 Some degree 765 32.7% 0.32734275
4 A high degree 864 37.0% 0.36970475
5 A very high degree 294 12.6% 0.12580231
97 Not answered 54 2.3% 0.02310655
98 Not asked 9178 NA


r31_pohpqx_2


Variable label: To what extent do you think Anna Pedersen is suitable as: Minister of Health and Care Services
Pre-question text:

Below is a fictional person who is relevant for several political positions.

[r31_pohpqx_ran]

To what extent do you think Anna Pedersen would be suitable as:
Literal question: Minister of Health and Care Services
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very low degree 353 15.1% 0.15104835
2 A low degree 597 25.5% 0.25545571
3 Some degree 765 32.7% 0.32734275
4 A high degree 419 17.9% 0.17928969
5 A very high degree 131 5.6% 0.05605477
97 Not answered 72 3.1% 0.03080873
98 Not asked 9178 NA


r31_pohpqx_3


Variable label: To what extent do you think Anna Pedersen is suitable as: Political Adviser in the Ministry of Health and Care Services
Pre-question text:

Below is a fictional person who is relevant for several political positions.

[r31_pohpqx_ran]

To what extent do you think Anna Pedersen would be suitable as:
Literal question: Political Adviser in the Ministry of Health and Care Services
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very low degree 165 7.1% 0.07060334
2 A low degree 343 14.7% 0.14676936
3 Some degree 804 34.4% 0.34403081
4 A high degree 697 29.8% 0.29824561
5 A very high degree 288 12.3% 0.12323492
97 Not answered 40 1.7% 0.01711596
98 Not asked 9178 NA


r31_pohpqx_back


Variable label: Whether the respondent has navigated back to [r31_pohpqx].
Field period: 04.11.2024 - 25.11.2024
Technical attributes: [Question type:Single] [Format:numeric] [Valid:174] [Invalid:11341] [Range:1-1]

Value Label Cases Percentage
1 The respondent has navigated back to [r31_pohpqx] 174 100.0% 1
Sysmiss 11341 NA


r31_pohpqxc


Variable label: Do you remember where Anna Pedersen had work experience from?
Literal question: Do you remember where Anna Pedersen had work experience from?
Equivalent in others panels: f6_pohpqxc, p11_pohpqxc
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 The health sector 1417 60.6% 0.606332905
2 Kindergarten 902 38.6% 0.385964912
97 Not answered 18 0.8% 0.007702182
98 Not asked 9178 NA


r31_cefee2_1


Variable label: Your feelings regarding climate change: Hope
Pre-question text: With regard to climate change and everything you associate with it, how strongly do you experience the following emotions?
Literal question: Hope
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all 118 5.0% 0.05049208
2 Not much 612 26.2% 0.26187420
3 Some 1164 49.8% 0.49807445
4 Strongly 365 15.6% 0.15618314
5 Very strongly 54 2.3% 0.02310655
97 Not answered 24 1.0% 0.01026958
98 Not asked 9178 NA


r31_cefee2_2


Variable label: Your feelings regarding climate change: Fear
Pre-question text: With regard to climate change and everything you associate with it, how strongly do you experience the following emotions?
Literal question: Fear
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all 227 9.7% 0.09713308
2 Not much 572 24.5% 0.24475824
3 Some 1058 45.3% 0.45271716
4 Strongly 367 15.7% 0.15703894
5 Very strongly 86 3.7% 0.03679932
97 Not answered 27 1.2% 0.01155327
98 Not asked 9178 NA


r31_cefee2_3


Variable label: Your feelings regarding climate change: Sadness
Pre-question text: With regard to climate change and everything you associate with it, how strongly do you experience the following emotions?
Literal question: Sadness
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all 249 10.7% 0.10654685
2 Not much 404 17.3% 0.17287120
3 Some 892 38.2% 0.38168592
4 Strongly 597 25.5% 0.25545571
5 Very strongly 167 7.1% 0.07145914
97 Not answered 28 1.2% 0.01198117
98 Not asked 9178 NA


r31_cefee2_4


Variable label: Your feelings regarding climate change: Anger
Pre-question text: With regard to climate change and everything you associate with it, how strongly do you experience the following emotions?
Literal question: Anger
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all 382 16.3% 0.16345742
2 Not much 681 29.1% 0.29139923
3 Some 850 36.4% 0.36371416
4 Strongly 297 12.7% 0.12708601
5 Very strongly 95 4.1% 0.04065041
97 Not answered 32 1.4% 0.01369277
98 Not asked 9178 NA


r31_cefee2_5


Variable label: Your feelings regarding climate change: Guilt
Pre-question text: With regard to climate change and everything you associate with it, how strongly do you experience the following emotions?
Literal question: Guilt
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all 463 19.8% 0.198117244
2 Not much 843 36.1% 0.360718870
3 Some 850 36.4% 0.363714163
4 Strongly 131 5.6% 0.056054771
5 Very strongly 18 0.8% 0.007702182
97 Not answered 32 1.4% 0.013692769
98 Not asked 9178 NA


r31_cefee2_6


Variable label: Your feelings regarding climate change: Powerlessness
Pre-question text: With regard to climate change and everything you associate with it, how strongly do you experience the following emotions?
Literal question: Powerlessness
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all 224 9.6% 0.09584938
2 Not much 340 14.5% 0.14548567
3 Some 786 33.6% 0.33632863
4 Strongly 647 27.7% 0.27685066
5 Very strongly 314 13.4% 0.13436029
97 Not answered 26 1.1% 0.01112537
98 Not asked 9178 NA


r31_cefeeo_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_cefeeo] based on answers given in [r31_cefee2].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 2)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2325] [Invalid:9190] [Range:1-6]

Value Label Cases Percentage
1 Hope 405 17.4% 0.1741935
2 Fear 410 17.6% 0.1763441
3 Sadness 391 16.8% 0.1681720
4 Anger 357 15.4% 0.1535484
5 Guilt 374 16.1% 0.1608602
6 Powerlessness 388 16.7% 0.1668817
Sysmiss 9190 NA


r31_cefeeo_pipe_1


Variable label: Experiment. Randomly selects an element for textpiping in [r31_cefeeo] based on answers in [r31_cefee2] and value from [r31_cefeeo_ran].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 2)]
Technical attributes: [Question type:Open Text List] [Format:character] [Valid:2325] [Invalid:9190] [Range:-]



r31_cefeeo


Variable label: When you answered how much [r31_cefeeo_ran] you feel, what did you think of?
Literal question:

You have just said how strongly, if at all, you experience different feelings when you think about climate change. Now we want to know more about one of these feelings: [r31_cefeeo_ran]. When you answered how much [r31_cefeeo_ran] you felt, what were you thinking about?

Please write down your thoughts and assessments about why you answered that [r31_cefeeo_pipe_1] when you think about climate change.
Post-question: All types of responses are welcome, preferably a couple of sentences, or just a few words if you prefer.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if at least one of [r31_cefee2_1] - [r31_cefee2_6] is answered and (r31_group = 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:11515] [Range:-]



r31_cemor


Variable label: To what degree do you regard it as a moral duty for individuals to contribute towards preventing climate change?
Literal question: To what degree do you regard it as a moral duty for individuals to contribute towards preventing climate change?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 422 18.1% 0.18057338
2 A high degree 974 41.7% 0.41677364
3 Some degree 649 27.8% 0.27770646
4 A low degree 193 8.3% 0.08258451
5 Not at all 68 2.9% 0.02909713
97 Not answered 31 1.3% 0.01326487
98 Not asked 9178 NA


r31_cepre


Variable label: Whether it is possible to do something to prevent harmful climate change
Literal question: Let’s assume that climate change could become a major threat to the world in the future if no action is taken. To what extent do you believe it is possible to do something to prevent harmful climate change?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 There is nothing we can do to prevent harmful climate change 211 9.0% 0.090286692
2 It is possible, but very difficult to do something to prevent harmful climate change 1462 62.6% 0.625588361
3 It is possible and completely realistic to do something to prevent harmful climate change 523 22.4% 0.223791185
4 It is easy to prevent harmful climate change 12 0.5% 0.005134788
5 I do not consider climate change to be a problem 93 4.0% 0.039794608
97 Not answered 36 1.5% 0.015404365
98 Not asked 9178 NA


r31_cetec


Variable label: Agree/Disagree: Technological innovations will solve climate problems.
Literal question: Consider the statement below. To what extent do you agree or disagree with the following? Technological innovations will solve climate problems.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 69 3.0% 0.02952503
2 Agree 250 10.7% 0.10697475
3 Agree somewhat 933 39.9% 0.39922978
4 Neither agree nor disagree 526 22.5% 0.22507488
5 Disagree somewhat 211 9.0% 0.09028669
6 Disagree 232 9.9% 0.09927257
7 Strongly disagree 86 3.7% 0.03679932
97 Not answered 30 1.3% 0.01283697
98 Not asked 9178 NA


r31_poabo


Variable label: Where do you think the line should be drawn in respect of when it should be legal to have a self-determined abortion in Norway?
Literal question:

On 23 August 2024 the government published a draft of a new Abortion Act, designed to extend the rights of women to self-determined abortion from week 12 to week 18. There will be a vote in the Storting about this draft on new Abortion Act.

Where do you think the line should be drawn in respect of when it should be legal to have a self-determined abortion in Norway?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 More than 22 weeks 87 3.7% 0.03722721
2 22 weeks 106 4.5% 0.04535730
3 18 weeks (as in the draft) 990 42.4% 0.42362003
4 12 weeks (as at present) 781 33.4% 0.33418913
5 Less than 12 weeks 52 2.2% 0.02225075
6 Abortion should not be allowed at all 54 2.3% 0.02310655
7 Not sure 237 10.1% 0.10141207
97 Not answered 30 1.3% 0.01283697
98 Not asked 9178 NA


r31_povof


Variable label: Should the parties allow their representatives to vote freely about the new Abortion Act?
Literal question:

The parties in the Storting can allow their representatives to vote as they wish on draft legislation that concerns matters of conscience. Amending the Abortion Act may be one such matter.

Should the parties allow their representatives to vote freely about the new Abortion Act?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Yes 1451 62.1% 0.62088147
2 No 359 15.4% 0.15361575
3 Not sure 494 21.1% 0.21138211
97 Not answered 33 1.4% 0.01412067
98 Not asked 9178 NA


r31_poval


Variable label: What do you think parliamentary politicians should pay the most attention to when voting on the draft to change the Abortion Act?
Literal question: What do you think parliamentary politicians should pay the most attention to when voting on the draft to change the Abortion Act?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Own opinion 1071 45.8% 0.45827985
2 Party and the party’s position 584 25.0% 0.24989303
3 The party’s electoral group 623 26.7% 0.26658109
97 Not answered 59 2.5% 0.02524604
98 Not asked 9178 NA


r31_pleat_1


Variable label: How often do you eat fish and fish products?
Literal question: How often do you eat fish and fish products?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Never 33 1.4% 0.014120668
2 Less than once a month 89 3.8% 0.038083012
3 At least once a month 359 15.4% 0.153615747
4 At least once a week 985 42.1% 0.421480531
5 Several times a week 824 35.3% 0.352588789
6 Every day 18 0.8% 0.007702182
97 Not answered 29 1.2% 0.012409071
98 Not asked 9178 NA


r31_pleat_2


Variable label: How often do you eat meat and meat products?
Literal question: How often do you eat meat and meat products?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Never 33 1.4% 0.01412067
2 Less than once a month 30 1.3% 0.01283697
3 At least once a month 110 4.7% 0.04706889
4 At least once a week 636 27.2% 0.27214377
5 Several times a week 1350 57.8% 0.57766367
6 Every day 114 4.9% 0.04878049
97 Not answered 64 2.7% 0.02738554
98 Not asked 9178 NA


r31_pleah


Variable label: Do any of the following alternatives describe your eating habits?
Literal question: Do any of the following alternatives describe your eating habits?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 I am vegan or vegetarian 21 0.9% 0.008985879
2 I eat, fish but not meat (pescetarian) 39 1.7% 0.016688062
4 None of the above alternatives describe my eating habits 2242 95.9% 0.959349593
97 Not answered 35 1.5% 0.014976466
98 Not asked 9178 NA


r31_plear


Variable label: Do you have a religion that affects what you eat?
Literal question: Do you have a religion that affects what you eat?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 21 0.9% 0.008985879
2 No 2278 97.5% 0.974753958
97 Not answered 38 1.6% 0.016260163
98 Not asked 9178 NA


r31_cesfa


Variable label: How positive or negative are you towards salmon farming?
Literal question:

Most of the salmon sold in Norway is produced by fish farms.

How positive or negative are you about salmon farming?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 114 4.9% 0.04878049
2 Positive 444 19.0% 0.18998716
3 Somewhat positive 380 16.3% 0.16260163
4 Neither positive nor negative 372 15.9% 0.15917843
5 Somewhat negative 482 20.6% 0.20624733
6 Negative 264 11.3% 0.11296534
7 Very negative 249 10.7% 0.10654685
97 Not answered 32 1.4% 0.01369277
98 Not asked 9178 NA


r31_cesfi_1


Variable label: Important for attitude towards salmon farming: Impact on nature
Pre-question text: How important are the factors below for your attitude towards salmon farming?
Literal question: Impact on nature
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 2)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 1045 44.7% 0.447154472
2 Important 849 36.3% 0.363286264
3 Somewhat important 307 13.1% 0.131364998
4 Not very important 51 2.2% 0.021822850
5 Not important at all 23 1.0% 0.009841677
97 Not answered 62 2.7% 0.026529739
98 Not asked 9178 NA


r31_cesfi_2


Variable label: Important for attitude towards salmon farming: Fish welfare
Pre-question text: How important are the factors below for your attitude towards salmon farming?
Literal question: The welfare of the fish
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 2)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 897 38.4% 0.383825417
2 Important 959 41.0% 0.410355156
3 Somewhat important 339 14.5% 0.145057766
4 Not very important 66 2.8% 0.028241335
5 Not important at all 23 1.0% 0.009841677
97 Not answered 53 2.3% 0.022678648
98 Not asked 9178 NA


r31_cesfi_3


Variable label: Important for attitude towards salmon farming: Contribution to local economy and jobs
Pre-question text: How important are the factors below for your attitude towards salmon farming?
Literal question: Contribution to the local economy and jobs
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 2)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 423 18.1% 0.18100128
2 Important 909 38.9% 0.38896021
3 Somewhat important 601 25.7% 0.25716731
4 Not very important 261 11.2% 0.11168164
5 Not important at all 84 3.6% 0.03594352
97 Not answered 59 2.5% 0.02524604
98 Not asked 9178 NA


r31_cesfi_4


Variable label: Important for attitude towards salmon farming: Content of the feed that salmon eat
Pre-question text: How important are the factors below for your attitude towards salmon farming?
Literal question: Contents of the feed that salmon eat
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 2)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 859 36.8% 0.36756525
2 Important 925 39.6% 0.39580659
3 Somewhat important 344 14.7% 0.14719726
4 Not very important 107 4.6% 0.04578519
5 Not important at all 42 1.8% 0.01797176
97 Not answered 60 2.6% 0.02567394
98 Not asked 9178 NA


r31_cesfi_5


Variable label: Important for attitude towards salmon farming: The impact of the aquaculture industry on the climate
Pre-question text: How important are the factors below for your attitude towards salmon farming?
Literal question: The impact of the fish farming industry on the climate
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 2)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 645 27.6% 0.27599487
2 Important 838 35.9% 0.35857938
3 Somewhat important 486 20.8% 0.20795892
4 Not very important 215 9.2% 0.09199829
5 Not important at all 94 4.0% 0.04022251
97 Not answered 59 2.5% 0.02524604
98 Not asked 9178 NA


r31_cesfhx_ran


Variable label: Experiment. Randomly selects when the respondent is exposed to [r31_cesfhx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 2)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2304] [Invalid:9211] [Range:1-2]

Value Label Cases Percentage
1 Exposed to [r31_cesfhx] before [r31_ceswf] 1127 48.9% 0.4891493
2 Exposed to [r31_cesfhx] after [r31_ceswf] 1177 51.1% 0.5108507
Sysmiss 9211 NA


r31_ceswfx_1


Variable label: Positive/negative: Use of processed slaughterhouse waste from pigs
Pre-question text:

In order to ensure food safety and reduce the climate impact of food, the government has set a target which involves using more Norwegian raw materials in salmon feed. This means that new raw materials will need to be used in addition to those currently being used.

If [r31_cesfhx_ran] = 2: Today, soy, fish meal and fish oil are important ingredients in such feed. 92% of these ingredients is imported. If [r31_cesfhx_ran] != 2: BLANK.

Bones, entrails, blood and offcuts resulting from the slaughter of pork, chicken/poultry and salmon (hereafter referred to as : “slaughterhouse waste”) contain important substances that can be used in the production of salmon feed. Although it is legal, processed slaughterhouse waste is not used as a raw material in salmon feed in Norway, but it is used elsewhere in the world.

How positive or negative are you about using processed slaughterhouse waste from the following sources in the production of salmon feed?
Literal question: Pork
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 365 15.6% 0.15618314
2 Positive 549 23.5% 0.23491656
3 Somewhat positive 299 12.8% 0.12794181
4 Neither positive nor negative 631 27.0% 0.27000428
5 Somewhat negative 127 5.4% 0.05434318
6 Negative 144 6.2% 0.06161746
7 Very negative 158 6.8% 0.06760804
97 Not answered 64 2.7% 0.02738554
98 Not asked 9178 NA


r31_ceswfx_2


Variable label: Positive/negative: Use of processed slaughterhouse waste from chicken/poultry
Pre-question text:

In order to ensure food safety and reduce the climate impact of food, the government has set a target which involves using more Norwegian raw materials in salmon feed. This means that new raw materials will need to be used in addition to those currently being used.

If [r31_cesfhx_ran] = 2: Today, soy, fish meal and fish oil are important ingredients in such feed. 92% of these ingredients is imported. If [r31_cesfhx_ran] != 2: BLANK.

Bones, entrails, blood and offcuts resulting from the slaughter of pork, chicken/poultry and salmon (hereafter referred to as : “slaughterhouse waste”) contain important substances that can be used in the production of salmon feed. Although it is legal, processed slaughterhouse waste is not used as a raw material in salmon feed in Norway, but it is used elsewhere in the world.

How positive or negative are you about using processed slaughterhouse waste from the following sources in the production of salmon feed?
Literal question: Chicken/poultry
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 380 16.3% 0.16260163
2 Positive 573 24.5% 0.24518614
3 Somewhat positive 303 13.0% 0.12965340
4 Neither positive nor negative 633 27.1% 0.27086008
5 Somewhat negative 117 5.0% 0.05006418
6 Negative 135 5.8% 0.05776637
7 Very negative 131 5.6% 0.05605477
97 Not answered 65 2.8% 0.02781344
98 Not asked 9178 NA


r31_ceswfx_3


Variable label: Positive/negative: Use of processed slaughterhouse waste from salmon
Pre-question text:

In order to ensure food safety and reduce the climate impact of food, the government has set a target which involves using more Norwegian raw materials in salmon feed. This means that new raw materials will need to be used in addition to those currently being used.

If [r31_cesfhx_ran] = 2: Today, soy, fish meal and fish oil are important ingredients in such feed. 92% of these ingredients is imported. If [r31_cesfhx_ran] != 2: BLANK.

Bones, entrails, blood and offcuts resulting from the slaughter of pork, chicken/poultry and salmon (hereafter referred to as : “slaughterhouse waste”) contain important substances that can be used in the production of salmon feed. Although it is legal, processed slaughterhouse waste is not used as a raw material in salmon feed in Norway, but it is used elsewhere in the world.

How positive or negative are you about using processed slaughterhouse waste from the following sources in the production of salmon feed?
Literal question: Salmon
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 331 14.2% 0.14163457
2 Positive 527 22.6% 0.22550278
3 Somewhat positive 271 11.6% 0.11596063
4 Neither positive nor negative 648 27.7% 0.27727856
5 Somewhat negative 159 6.8% 0.06803594
6 Negative 163 7.0% 0.06974754
7 Very negative 168 7.2% 0.07188703
97 Not answered 70 3.0% 0.02995293
98 Not asked 9178 NA


r31_edteix_ran1


Variable label: Experiment. Randomly selects an element for textpiping in [31_edteix].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 2)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2302] [Invalid:9213] [Range:1-2]

Value Label Cases Percentage
1 to make pupils’ learning outcomes as high as possible 1143 49.7% 0.4965248
2 that all pupils derive equal benefits from teaching 1159 50.3% 0.5034752
Sysmiss 9213 NA


r31_edteix_ran2


Variable label: Experiment. Randomly selects an element for textpiping in [31_edteix].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 2)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2302] [Invalid:9213] [Range:1-2]

Value Label Cases Percentage
1 woman 1152 50.0% 0.5004344
2 man 1150 50.0% 0.4995656
Sysmiss 9213 NA


r31_edteix_ran3


Variable label: Experiment. Randomly selects an element for textpiping in [31_edteix].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 2)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2302] [Invalid:9213] [Range:1-3]

Value Label Cases Percentage
1 20s 766 33.3% 0.3327541
2 40s 806 35.0% 0.3501303
3 60s 730 31.7% 0.3171156
Sysmiss 9213 NA


r31_edteix_ran4


Variable label: Experiment. Randomly selects an element for textpiping in [31_edteix].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 2)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2302] [Invalid:9213] [Range:1-2]

Value Label Cases Percentage
1 both give marks as well as verbal feedback to each individual pupil about what they should be working on next 1136 49.3% 0.4934839
2 uses artificial intelligence in order to help set marks and provide verbal feedback to each individual pupil about what they should be working on next 1166 50.7% 0.5065161
Sysmiss 9213 NA


r31_edteix


Variable label: To what extent can you identify with the teacher?
Literal question:

Imagine a secondary school teacher whose goal is [r31_edteix_ran1]. Imagine a common class situation where the teacher, in this case a [r31_edteix_ran2] in [r31_edteix_ran3], [r31_edteix_ran4] in order to achieve this goal.

To what extent can you identify with this teacher?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 227 9.7% 0.09713308
2 A high degree 581 24.9% 0.24860933
3 Some degree 659 28.2% 0.28198545
4 A low degree 509 21.8% 0.21780060
5 Not at all 316 13.5% 0.13521609
97 Not answered 45 1.9% 0.01925546
98 Not asked 9178 NA


r31_edteax


Variable label: How acceptable do you think the teacher’s approach is?
Literal question:

Imagine a secondary school teacher whose goal is [r31_edteix_ran1]. Imagine a common class situation where the teacher, in this case a [r31_edteix_ran2] in [r31_edteix_ran3], [r31_edteix_ran4] in order to achieve this goal.

How acceptable do you think the teacher’s approach is?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 2)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Highly acceptable 543 23.2% 0.23234917
2 Acceptable 707 30.3% 0.30252460
3 Somewhat acceptable 462 19.8% 0.19768935
4 Not very acceptable 387 16.6% 0.16559692
5 Not acceptable at all 170 7.3% 0.07274283
97 Not answered 68 2.9% 0.02909713
98 Not asked 9178 NA


r31_edtedx_1


Variable label: How well do you think the following description fits the teacher: is friendly
Pre-question text:

Imagine a secondary school teacher who aims to [r31_edteix_ran1]. Imagine a common class situation where the teacher, in this case a [r31_edteix_ran2] in [r31_edteix_ran3], [r31_edteix_ran4] in order to achieve this goal.

How well do you think the following description fits the teacher? The person concerned …
Literal question: …is friendly
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 2)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Highly suitable 321 13.7% 0.13735558
2 Suitable 895 38.3% 0.38296962
3 Fairly suitable 628 26.9% 0.26872058
4 Not very suitable 226 9.7% 0.09670518
5 Not at all suitable 114 4.9% 0.04878049
97 Not answered 153 6.5% 0.06546855
98 Not asked 9178 NA


r31_edtedx_2


Variable label: How well do you think the following description fits the teacher: has good intentions
Pre-question text:

Imagine a secondary school teacher who aims to [r31_edteix_ran1]. Imagine a common class situation where the teacher, in this case a [r31_edteix_ran2] in [r31_edteix_ran3], [r31_edteix_ran4] in order to achieve this goal.

How well do you think the following description fits the teacher? The person concerned …
Literal question: …has good intentions
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 2)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Highly suitable 645 27.6% 0.27599487
2 Suitable 1036 44.3% 0.44330338
3 Fairly suitable 402 17.2% 0.17201540
4 Not very suitable 99 4.2% 0.04236200
5 Not at all suitable 53 2.3% 0.02267865
97 Not answered 102 4.4% 0.04364570
98 Not asked 9178 NA


r31_edtedx_3


Variable label: How well do you think the following description fits the teacher: is competent
Pre-question text:

Imagine a secondary school teacher who aims to [r31_edteix_ran1]. Imagine a common class situation where the teacher, in this case a [r31_edteix_ran2] in [r31_edteix_ran3], [r31_edteix_ran4] in order to achieve this goal.

How well do you think the following description fits the teacher? The person concerned …
Literal question: …is competent
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 2)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Highly suitable 372 15.9% 0.15917843
2 Suitable 878 37.6% 0.37569534
3 Fairly suitable 531 22.7% 0.22721438
4 Not very suitable 329 14.1% 0.14077878
5 Not at all suitable 102 4.4% 0.04364570
97 Not answered 125 5.3% 0.05348738
98 Not asked 9178 NA


r31_edtedx_4


Variable label: How well do you think the following description fits the teacher: is intelligent
Pre-question text:

Imagine a secondary school teacher who aims to [r31_edteix_ran1]. Imagine a common class situation where the teacher, in this case a [r31_edteix_ran2] in [r31_edteix_ran3], [r31_edteix_ran4] in order to achieve this goal.

How well do you think the following description fits the teacher? The person concerned …
Literal question: …is intelligent
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 2)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Highly suitable 291 12.5% 0.12451861
2 Suitable 918 39.3% 0.39281130
3 Fairly suitable 618 26.4% 0.26444159
4 Not very suitable 261 11.2% 0.11168164
5 Not at all suitable 99 4.2% 0.04236200
97 Not answered 150 6.4% 0.06418485
98 Not asked 9178 NA


r31_mlinlx_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_mlinlx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2305] [Invalid:9210] [Range:1-3]

Value Label Cases Percentage
1 climate policy 738 32.0% 0.3201735
2 safety and contingency policy 778 33.8% 0.3375271
3 health policy 789 34.2% 0.3422993
Sysmiss 9210 NA


r31_mlinlx_1


Variable label: Who should have the most influence in your local community: Your municipal council
Pre-question text: The policies which apply in your local community are influenced by different elected bodies that have varying degrees of influence. As regards to [r31_mlinlx_ran] in your local community, who do you think should have the most influence?
Literal question: Your municipal council
Post-question: Below you can rate them on a scale of the most to the least influence by clicking on the alternatives in sequence.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Answer list display order: Randomized]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Ranked your municipal council as number 1 823 35.7% 0.3570499
2 Ranked your municipal council as number 2 393 17.0% 0.1704989
3 Ranked your municipal council as number 3 288 12.5% 0.1249458
4 Ranked your municipal council as number 4 124 5.4% 0.0537961
97 Not answered 677 29.4% 0.2937093
98 Not asked 9210 NA


r31_mlinlx_2


Variable label: Who should have the most influence in your local community: Your county council
Pre-question text: The policies which apply in your local community are influenced by different elected bodies that have varying degrees of influence. As regards to [r31_mlinlx_ran] in your local community, who do you think should have the most influence?
Literal question: Your county council
Post-question: Below you can rate them on a scale of the most to the least influence by clicking on the alternatives in order.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Answer list display order: Randomized]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Ranked your county as number 1 258 11.2% 0.11193059
2 Ranked your county as number 2 559 24.3% 0.24251627
3 Ranked your county as number 3 453 19.7% 0.19652928
4 Ranked your county as number 4 106 4.6% 0.04598698
97 Not answered 929 40.3% 0.40303688
98 Not asked 9210 NA


r31_mlinlx_3


Variable label: Who should have the most influence in your local community: The Storting
Pre-question text: The policies which apply in your local community are influenced by different elected bodies that have varying degrees of influence. As regards to [r31_mlinlx_ran] in your local community, who do you think should have the most influence?
Literal question: The Storting
Post-question: Below you can rate them on a scale of the most to the least influence by clicking on the alternatives in order.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Answer list display order: Randomized]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Ranked the Storting as number 1 1088 47.2% 0.472017354
2 Ranked the Storting as number 2 258 11.2% 0.111930586
3 Ranked the Storting as number 3 423 18.4% 0.183514100
4 Ranked the Storting as number 4 10 0.4% 0.004338395
97 Not answered 526 22.8% 0.228199566
98 Not asked 9210 NA


r31_mlinlx_4


Variable label: Who should have the most influence in your local community: The European Parliament
Pre-question text: The policies which apply in your local community are influenced by different elected bodies that have varying degrees of influence. As regards to [r31_mlinlx_ran] in your local community, who do you think should have the most influence?
Literal question: The European Parliament
Post-question: Below you can rate them on a scale of the most to the least influence by clicking on the alternatives in order.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Answer list display order: Randomized]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Ranked the European Parliament as number 1 86 3.7% 0.03731020
2 Ranked the European Parliament as number 2 96 4.2% 0.04164859
3 Ranked the European Parliament as number 3 85 3.7% 0.03687636
4 Ranked the European Parliament as number 4 959 41.6% 0.41605206
97 Not answered 1079 46.8% 0.46811280
98 Not asked 9210 NA


r31_enhydx_ran1


Variable label: Experiment. Randomly selects an element for textpiping in [r31_enhydx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2298] [Invalid:9217] [Range:1-3]

Value Label Cases Percentage
1 “green hydrogen”, which is produced by electricity from renewable hydropower from the grid, which basically does not involve any CO2 emissions. 813 35.4% 0.3537859
2 “green hydrogen”, which is produced by electricity from renewable wind power from either offshore or onshore wind turbines, which basically does not involve any CO2 emissions. 745 32.4% 0.3241950
3 “blue hydrogen”, which is produced from natural gas, which involves CO2 emissions, but where 90-95% of such CO2 emissions will be stored below the seabed on the continental shelf (so-called carbon capture and storage). 740 32.2% 0.3220191
Sysmiss 9217 NA


r31_enhydx_ran2


Variable label: Experiment. Randomly selects an element for textpiping in [r31_enhydx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2298] [Invalid:9217] [Range:1-2]

Value Label Cases Percentage
1 The hydrogen produced is mainly used for helping to reduce onshore CO2 emissions. 1151 50.1% 0.5008703
2 The hydrogen produced will mainly be exported to help reduce CO2 emissions abroad. 1147 49.9% 0.4991297
Sysmiss 9217 NA


r31_enhydx


Variable label: To what extent do you support the state in funding this hydrogen initiative?
Literal question:

Norway aims to develop a hydrogen industry with no or low greenhouse gas emissions. In order for hydrogen to become a competitive alternative to fossil fuels, it is relevant for the state to provide the industry with financial support.

Imagine Norway is going to invest in so-called [r31_enhydx_ran1] [r31_enhydx_ran2]

To what extent do you support the state in funding this hydrogen initiative?
Equivalent in others panels: p11_enhydx
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 205 8.9% 0.08893709
2 A high degree 571 24.8% 0.24772234
3 Some degree 812 35.2% 0.35227766
4 A low degree 426 18.5% 0.18481562
5 Not at all 240 10.4% 0.10412148
97 Not answered 51 2.2% 0.02212581
98 Not asked 9210 NA


r31_cecfk


Variable label: Would you have wanted to know the climate impact of the dish
Literal question:

Imagine you’re going into a café to buy lunch. You’ve had a busy day and are now hungry and looking forward to finding something to enjoy. You know you should eat more climate-friendly food, and there are several dishes on the menu that you think look particularly good. The café offers a variety of tempting lunch dishes, and one that has caught your attention is a hot dish. A friend of yours says she’s tasted it before and it’s as good as it looks.

Before you decide whether or not you would like to order the hot dish, we are wondering if you would like to know what the carbon footprint of this dish is:
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 I want to know exactly what the climate footprint of the hot dish is 529 23.0% 0.22950108
2 I do NOT want to know exactly what the climate footprint of the hot dish is 1716 74.4% 0.74446855
97 Not answered 60 2.6% 0.02603037
98 Not asked 9210 NA


r31_cecfkx_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_cecfkx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2275] [Invalid:9240] [Range:1-3]

Value Label Cases Percentage
1 0.5 776 34.1% 0.3410989
2 1.5 747 32.8% 0.3283516
3 2.5 752 33.1% 0.3305495
Sysmiss 9240 NA


r31_cecfkx_pipe


Variable label: Experiment. Selects a picture for [r31_cecfkx] based on [r31_cecfkx_ran].
Field period: 04.11.2024 - 25.11.2024
Technical description: [If [r31_cecfkx_ran] = 1 the value is set to 1. If [r31_cecfkx_ran] = 2 the value is set to 2. If [r31_cecfkx_ran] = 3 the value is set to 3.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2275] [Invalid:9240] [Range:1-3]

Value Label Cases Percentage
1 Picture 1 776 34.1% 0.3410989
2 Picture 2 747 32.8% 0.3283516
3 Picture 3 752 33.1% 0.3305495
Sysmiss 9240 NA


r31_cecfkx


Variable label: Would you have ordered the dish
Pre-question text: If [r31_cecfk] = 2: Regardless of what you selected in the previous question, we would like you to imagine that you were still made aware of information about the dish’s climate footprint. Before you decide if you would like to order a hot dish or not, you will now learn exactly what the climate footprint of your hot dish is. If [r31_cecfk] != 2: Blank
Literal question:

[r31_cecfkx_pipe]

The hot dish contains [r31_cecfkx_ran] kgs of CO2 equivalents.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 I would like to order the hot dish 1663 72.1% 0.72147505
2 I do NOT wish to order the hot dish 579 25.1% 0.25119306
97 Not answered 63 2.7% 0.02733189
98 Not asked 9210 NA


r31_eqseax_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_eqseax].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2274] [Invalid:9241] [Range:1-3]

Value Label Cases Percentage
1 bisexual 772 33.9% 0.3394899
2 heterosexual 726 31.9% 0.3192612
3 lesbian 776 34.1% 0.3412489
Sysmiss 9241 NA


r31_eqseax_1


Variable label: Agree/Disagree: Marie was responsible for what happened.
Pre-question text:

Imagine this hypothetical situation:

Marie is 28 years old and works for the health services. She is [r31_eqseax_ran] and currently single. She’s been to a party and accompanies her friend Christian home. They’re both a bit drunk and Marie goes inside with Christian to get a glass of water. They sit and talk for a while, but then the atmosphere changes and Christian forces Marie to have sex.

Based on your impression of the situation and the people described above, how much do you agree or disagree with the following statements:
Literal question: Marie was responsible for what happened.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 3)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 16 0.7% 0.006941432
2 Agree 37 1.6% 0.016052061
3 Agree somewhat 116 5.0% 0.050325380
4 Neither agree nor disagree 137 5.9% 0.059436009
5 Disagree somewhat 111 4.8% 0.048156182
6 Disagree 498 21.6% 0.216052061
7 Strongly disagree 1292 56.1% 0.560520607
97 Not answered 98 4.3% 0.042516269
98 Not asked 9210 NA


r31_eqseax_2


Variable label: Agree/Disagree: This happened because Marie was careless.
Pre-question text:

Imagine this hypothetical situation:

Marie is 28 years old and works for the health services. She is [r31_eqseax_ran] and currently single. She’s been to a party and accompanies her friend Christian home. They’re both a bit drunk and Marie goes inside with Christian to get a glass of water. They sit and talk for a while, but then the atmosphere changes and Christian forces Marie to have sex.

Based on your impression of the situation and the people described above, how much do you agree or disagree with the following statements:
Literal question: This happened because Marie was careless.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 3)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 12 0.5% 0.005206074
2 Agree 40 1.7% 0.017353579
3 Agree somewhat 146 6.3% 0.063340564
4 Neither agree nor disagree 168 7.3% 0.072885033
5 Disagree somewhat 154 6.7% 0.066811280
6 Disagree 573 24.9% 0.248590022
7 Strongly disagree 1105 47.9% 0.479392625
97 Not answered 107 4.6% 0.046420824
98 Not asked 9210 NA


r31_eqseax_3


Variable label: Agree/Disagree: Christian was responsible for what happened.
Pre-question text:

Imagine this hypothetical situation:

Marie is 28 years old and works for the health services. She is [r31_eqseax_ran] and currently single. She’s been to a party and accompanies her friend Christian home. They’re both a bit drunk and Marie goes inside with Christian to get a glass of water. They sit and talk for a while, but then the atmosphere changes and Christian forces Marie to have sex.

Based on your impression of the situation and the people described above, how much do you agree or disagree with the following statements:
Literal question: Christian was responsible for what happened.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 3)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 1390 60.3% 0.603036876
2 Agree 596 25.9% 0.258568330
3 Agree somewhat 138 6.0% 0.059869848
4 Neither agree nor disagree 79 3.4% 0.034273319
5 Disagree somewhat 13 0.6% 0.005639913
6 Disagree 10 0.4% 0.004338395
7 Strongly disagree 14 0.6% 0.006073753
97 Not answered 65 2.8% 0.028199566
98 Not asked 9210 NA


r31_eqseax_4


Variable label: Agree/Disagree: This happened because Christian was careless.
Pre-question text:

Imagine this hypothetical situation:

Marie is 28 years old and works for the health services. She is [r31_eqseax_ran] and currently single. She’s been to a party and accompanies her friend Christian home. They’re both a bit drunk and Marie goes inside with Christian to get a glass of water. They sit and talk for a while, but then the atmosphere changes and Christian forces Marie to have sex.

Based on your impression of the situation and the people described above, how much do you agree or disagree with the following statements:
Literal question: This happened because Christian was careless.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 3)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 488 21.2% 0.21171367
2 Agree 335 14.5% 0.14533623
3 Agree somewhat 167 7.2% 0.07245119
4 Neither agree nor disagree 464 20.1% 0.20130152
5 Disagree somewhat 80 3.5% 0.03470716
6 Disagree 276 12.0% 0.11973970
7 Strongly disagree 374 16.2% 0.16225597
97 Not answered 121 5.2% 0.05249458
98 Not asked 9210 NA


r31_eqseax_5


Variable label: Agree/Disagree: Christian had reason to think that Marie wanted to have sex.
Pre-question text:

Imagine this hypothetical situation:

Marie is 28 years old and works for the health services. She is [r31_eqseax_ran] and currently single. She’s been to a party and accompanies her friend Christian home. They’re both a bit drunk and Marie goes inside with Christian to get a glass of water. They sit and talk for a while, but then the atmosphere changes and Christian forces Marie to have sex.

Based on your impression of the situation and the people described above, how much do you agree or disagree with the following statements:
Literal question: Christian had reason to think that Marie wanted to have sex.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 3)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 24 1.0% 0.01041215
2 Agree 28 1.2% 0.01214751
3 Agree somewhat 99 4.3% 0.04295011
4 Neither agree nor disagree 229 9.9% 0.09934924
5 Disagree somewhat 141 6.1% 0.06117137
6 Disagree 567 24.6% 0.24598698
7 Strongly disagree 1114 48.3% 0.48329718
97 Not answered 103 4.5% 0.04468547
98 Not asked 9210 NA


r31_eqseax_6


Variable label: Agree/Disagree: Marie seems to have had many sex partners.
Pre-question text:

Imagine this hypothetical situation:

Marie is 28 years old and works for the health services. She is [r31_eqseax_ran] and currently single. She’s been to a party and accompanies her friend Christian home. They’re both a bit drunk and Marie goes inside with Christian to get a glass of water. They sit and talk for a while, but then the atmosphere changes and Christian forces Marie to have sex.

Based on your impression of the situation and the people described above, how much do you agree or disagree with the following statements:
Literal question: Marie seems to have had many sex partners.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 3)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 8 0.3% 0.003470716
2 Agree 8 0.3% 0.003470716
3 Agree somewhat 34 1.5% 0.014750542
4 Neither agree nor disagree 828 35.9% 0.359219089
5 Disagree somewhat 39 1.7% 0.016919740
6 Disagree 336 14.6% 0.145770065
7 Strongly disagree 942 40.9% 0.408676790
97 Not answered 110 4.8% 0.047722343
98 Not asked 9210 NA


r31_eqseax_7


Variable label: Agree/Disagree: Marie was harmed by what happened.
Pre-question text:

Imagine this hypothetical situation:

Marie is 28 years old and works for the health services. She is [r31_eqseax_ran] and currently single. She’s been to a party and accompanies her friend Christian home. They’re both a bit drunk and Marie goes inside with Christian to get a glass of water. They sit and talk for a while, but then the atmosphere changes and Christian forces Marie to have sex.

Based on your impression of the situation and the people described above, how much do you agree or disagree with the following statements:
Literal question: Marie was harmed by what happened.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 3)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 688 29.8% 0.29848156
2 Agree 638 27.7% 0.27678959
3 Agree somewhat 273 11.8% 0.11843818
4 Neither agree nor disagree 484 21.0% 0.20997831
5 Disagree somewhat 50 2.2% 0.02169197
6 Disagree 40 1.7% 0.01735358
7 Strongly disagree 19 0.8% 0.00824295
97 Not answered 113 4.9% 0.04902386
98 Not asked 9210 NA


r31_eqseax_8


Variable label: Agree/Disagree: Marie was traumatised by what happened.
Pre-question text:

Imagine this hypothetical situation:

Marie is 28 years old and works for the health services. She is [r31_eqseax_ran] and currently single. She’s been to a party and accompanies her friend Christian home. They’re both a bit drunk and Marie goes inside with Christian to get a glass of water. They sit and talk for a while, but then the atmosphere changes and Christian forces Marie to have sex.

Based on your impression of the situation and the people described above, how much do you agree or disagree with the following statements:
Literal question: Marie was traumatised by what happened.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 3)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 574 24.9% 0.249023861
2 Agree 514 22.3% 0.222993492
3 Agree somewhat 324 14.1% 0.140563991
4 Neither agree nor disagree 651 28.2% 0.282429501
5 Disagree somewhat 56 2.4% 0.024295011
6 Disagree 54 2.3% 0.023427332
7 Strongly disagree 23 1.0% 0.009978308
97 Not answered 109 4.7% 0.047288503
98 Not asked 9210 NA


r31_eqsymx


Variable label: Who do you feel most sorry for, Christian or Marie?
Literal question: Who do you feel most sorry for, Christian or Marie?
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Answer list display order: Random direction]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Mainly sorry for Marie 1695 73.5% 0.735357918
2 A little more sorry for Marie than Christian 259 11.2% 0.112364425
3 Equally sorry for Marie and Christian. 257 11.1% 0.111496746
4 A little more sorry for Christian than Marie 8 0.3% 0.003470716
5 Mainly sorry for Christian. 11 0.5% 0.004772234
97 Not answered 75 3.3% 0.032537961
98 Not asked 9210 NA


r31_eqsymx_order


Variable label: Displays the order of answer alternatives in [r31_eqsymx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [If [r31_eqsymx_order] = 0 the alternatives was displayed in the default order. If [r31_eqsymx_order] = 1 the alternatives was displayed in reversed order.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2270] [Invalid:9245] [Range:0-1]

Value Label Cases Percentage
0 Normal order 1122 49.4% 0.4942731
1 Reverse order 1148 50.6% 0.5057269
Sysmiss 9245 NA


r31_eqsabx


Variable label: How likely is it that you would behave like Christian in such a situation?
Literal question: How likely is it that you would behave like Christian in such a situation?
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if the respondent is male and (r31_group = 3)]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_eqsasx


Variable label: Would you say that what Marie experienced was sexual assault?
Literal question: Would you say that what Marie experienced was a sexual assault?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 1922 83.4% 0.8338395
2 No 312 13.5% 0.1353579
97 Not answered 71 3.1% 0.0308026
98 Not asked 9210 NA


r31_edsbix_ran1


Variable label: Experiment. Randomly selects an element for textpiping in [r31_edsbix].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2267] [Invalid:9248] [Range:1-2]

Value Label Cases Percentage
1 to make pupils’ learning outcomes as high as possible 1146 50.6% 0.5055139
2 that all pupils derive equal benefits from teaching 1121 49.4% 0.4944861
Sysmiss 9248 NA


r31_edsbix_ran2


Variable label: Eksperiment. Velger tilfeldig et element til tekstfletting i [r31_edsbix].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2267] [Invalid:9248] [Range:1-2]

Value Label Cases Percentage
1 woman 1149 50.7% 0.5068372
2 man 1118 49.3% 0.4931628
Sysmiss 9248 NA


r31_edsbix_ran3


Variable label: Eksperiment. Velger tilfeldig et element til tekstfletting i [r31_edsbix].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2267] [Invalid:9248] [Range:1-3]

Value Label Cases Percentage
1 20s 752 33.2% 0.3317159
2 40s 726 32.0% 0.3202470
3 60s 789 34.8% 0.3480371
Sysmiss 9248 NA


r31_edsbix_ran4


Variable label: Eksperiment. Velger tilfeldig et element til tekstfletting i [r31_edsbix].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2267] [Invalid:9248] [Range:1-2]

Value Label Cases Percentage
1 uses their accumulated experience to suggest how resources should be distributed between the various primary schools in the area 1090 48.1% 0.4808116
2 uses artificial intelligence to suggest how resources should be distributed between the various primary schools in the area 1177 51.9% 0.5191884
Sysmiss 9248 NA


r31_edsbix


Variable label: To what extent can you identify with this school administration employee?
Literal question:

School administration employees should serve citizens’ interests by following up on politically determined primary school goals, which include [r31_edsbix_ran1]. Imagine a common situation where the employee, in this case a [r31_edsbix_ran2] in [r31_edsbix_ran3], [r31_edsbix_ran4] in order to achieve this goal.

To what extent can you identify with this school administration employee?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 112 4.9% 0.04859002
2 A high degree 364 15.8% 0.15791757
3 Some degree 793 34.4% 0.34403471
4 A low degree 628 27.2% 0.27245119
5 Not at all 342 14.8% 0.14837310
97 Not answered 66 2.9% 0.02863341
98 Not asked 9210 NA


r31_edsbax


Variable label: How acceptable do you think the employee’s approach is?
Literal question:

School administration employees should serve citizens’ interests by following up on politically determined primary school goals, which include [r31_edsbix_ran1]. Imagine a common situation where the employee, in this case a [r31_edsbix_ran2] in [r31_edsbix_ran3], [r31_edsbix_ran4] in order to achieve this goal.

How acceptable do you think the employee’s approach is?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Highly acceptable 153 6.6% 0.06637744
2 Acceptable 739 32.1% 0.32060738
3 Somewhat acceptable 727 31.5% 0.31540130
4 Not very acceptable 431 18.7% 0.18698482
5 Not acceptable at all 148 6.4% 0.06420824
97 Not answered 107 4.6% 0.04642082
98 Not asked 9210 NA


r31_edsbdx_1


Variable label: How well do you think the following description fits the employee: is friendly
Pre-question text:

School administration employees should serve citizens’ interests by following up on politically determined primary school goals, which include [r31_edsbix_ran1]. Imagine a common situation where the employee, in this case a [r31_edsbix_ran2] in [r31_edsbix_ran3], [r31_edsbix_ran4] in order to achieve this goal.

How well do you think the following description fits the employee. The person concerned …
Literal question: …is friendly
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Highly suitable 90 3.9% 0.03904555
2 Suitable 612 26.6% 0.26550976
3 Fairly suitable 908 39.4% 0.39392625
4 Not very suitable 245 10.6% 0.10629067
5 Not at all suitable 163 7.1% 0.07071584
97 Not answered 287 12.5% 0.12451193
98 Not asked 9210 NA


r31_edsbdx_2


Variable label: How well do you think the following description fits the employee: has good intentions
Pre-question text:

School administration employees should serve citizens’ interests by following up on politically determined primary school goals, which include [r31_edsbix_ran1]. Imagine a common situation where the employee, in this case a [r31_edsbix_ran2] in [r31_edsbix_ran3], [r31_edsbix_ran4] in order to achieve this goal.

How well do you think the following description fits the employee. The person concerned …
Literal question: …has good intentions
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Highly suitable 348 15.1% 0.15097614
2 Suitable 1060 46.0% 0.45986985
3 Fairly suitable 553 24.0% 0.23991323
4 Not very suitable 124 5.4% 0.05379610
5 Not at all suitable 45 2.0% 0.01952278
97 Not answered 175 7.6% 0.07592191
98 Not asked 9210 NA


r31_edsbdx_3


Variable label: How well do you think the following description fits the employee: is competent
Pre-question text:

School administration employees should serve citizens’ interests by following up on politically determined primary school goals, which include [r31_edsbix_ran1]. Imagine a common situation where the employee, in this case a [r31_edsbix_ran2] in [r31_edsbix_ran3], [r31_edsbix_ran4] in order to achieve this goal.

How well do you think the following description fits the employee. The person concerned …
Literal question: …is competent
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Highly suitable 148 6.4% 0.06420824
2 Suitable 747 32.4% 0.32407809
3 Fairly suitable 700 30.4% 0.30368764
4 Not very suitable 362 15.7% 0.15704989
5 Not at all suitable 132 5.7% 0.05726681
97 Not answered 216 9.4% 0.09370933
98 Not asked 9210 NA


r31_edsbdx_4


Variable label: How well do you think the following description fits the employee: is intelligent
Pre-question text:

School administration employees should serve citizens’ interests by following up on politically determined primary school goals, which include [r31_edsbix_ran1]. Imagine a common situation where the employee, in this case a [r31_edsbix_ran2] in [r31_edsbix_ran3], [r31_edsbix_ran4] in order to achieve this goal.

How well do you think the following description fits the employee. The person concerned …
Literal question: …is intelligent
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Highly suitable 116 5.0% 0.05032538
2 Suitable 694 30.1% 0.30108460
3 Fairly suitable 830 36.0% 0.36008677
4 Not very suitable 289 12.5% 0.12537961
5 Not at all suitable 118 5.1% 0.05119306
97 Not answered 258 11.2% 0.11193059
98 Not asked 9210 NA


r31_dmpce


Variable label: Agree/Disagree: Authorities should be able to censor media that are too critical of the authorities.
Literal question:

To what extent do you agree or disagree with the following principles about how a political system should be organised and governed?

The authorities should be able to censor media that are too critical of the authorities.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Displayed in random order with [r31_dmpop], [r31_dmpvr], [r31_dmper], [r31_dmpgc], [r31_dmpgo], [r31_dmpbl].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 9 0.4% 0.003904555
2 Agree 9 0.4% 0.003904555
3 Agree somewhat 38 1.6% 0.016485900
4 Neither agree nor disagree 44 1.9% 0.019088937
5 Disagree somewhat 55 2.4% 0.023861171
6 Disagree 385 16.7% 0.167028200
7 Strongly disagree 1686 73.1% 0.731453362
97 Not answered 79 3.4% 0.034273319
98 Not asked 9210 NA


r31_dmpop


Variable label: Agree/Disagree: Norway would be better off if there was only one political party.
Literal question:

To what extent do you agree or disagree with the following principles about how a political system should be organised and governed?

Norway would be better off if there was only one political party.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Displayed in random order with [r31_dmpce], [r31_dmpvr], [r31_dmper], [r31_dmpgc], [r31_dmpgo], [r31_dmpbl].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 15 0.7% 0.006507592
2 Agree 12 0.5% 0.005206074
3 Agree somewhat 24 1.0% 0.010412148
4 Neither agree nor disagree 54 2.3% 0.023427332
5 Disagree somewhat 37 1.6% 0.016052061
6 Disagree 380 16.5% 0.164859002
7 Strongly disagree 1714 74.4% 0.743600868
97 Not answered 69 3.0% 0.029934924
98 Not asked 9210 NA


r31_dmpvr


Variable label: Agree/Disagree: There are so many people who do not know anything about politics, that maybe the right to vote should not be available to everyone.
Literal question:

To what extent do you agree or disagree with the following principles about how a political system should be organised and governed?

There are so many people who do not know anything about politics, that maybe the right to vote should not be available to everyone.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Displayed in random order with [r31_dmpce], [r31_dmpop], [r31_dmper], [r31_dmpgc], [r31_dmpgo], [r31_dmpbl].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 41 1.8% 0.01778742
2 Agree 38 1.6% 0.01648590
3 Agree somewhat 112 4.9% 0.04859002
4 Neither agree nor disagree 98 4.3% 0.04251627
5 Disagree somewhat 116 5.0% 0.05032538
6 Disagree 532 23.1% 0.23080260
7 Strongly disagree 1295 56.2% 0.56182213
97 Not answered 73 3.2% 0.03167028
98 Not asked 9210 NA


r31_dmper


Variable label: Agree/Disagree: Governments should be allowed to amend electoral rules (e.g. the distribution of parliamentary mandates) to their advantage if their opponents have also done the same previously.
Literal question:

To what extent do you agree or disagree with the following principles about how a political system should be organised and governed?

Governments should be allowed to amend electoral rules (e.g. the distribution of parliamentary mandates) to their advantage if their opponents have also done the same previously.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Displayed in random order with [r31_dmpce], [r31_dmpop], [r31_dmpvr], [r31_dmpgc], [r31_dmpgo], [r31_dmpbl].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 9 0.4% 0.003904555
2 Agree 44 1.9% 0.019088937
3 Agree somewhat 74 3.2% 0.032104121
4 Neither agree nor disagree 257 11.1% 0.111496746
5 Disagree somewhat 131 5.7% 0.056832972
6 Disagree 517 22.4% 0.224295011
7 Strongly disagree 1199 52.0% 0.520173536
97 Not answered 74 3.2% 0.032104121
98 Not asked 9210 NA


r31_dmpgc


Variable label: Agree/Disagree: The government should be able to oppose decisions made by the Supreme Court that have a political bias.
Literal question:

To what extent do you agree or disagree with the following principles about how a political system should be organised and governed?

The government should be able to oppose decisions made by the Supreme Court that have a political bias.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Displayed in random order with [r31_dmpce], [r31_dmpop], [r31_dmpvr], [r31_dmper], [r31_dmpgo], [r31_dmpbl].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 37 1.6% 0.01605206
2 Agree 76 3.3% 0.03297180
3 Agree somewhat 143 6.2% 0.06203905
4 Neither agree nor disagree 271 11.8% 0.11757050
5 Disagree somewhat 159 6.9% 0.06898048
6 Disagree 566 24.6% 0.24555315
7 Strongly disagree 982 42.6% 0.42603037
97 Not answered 71 3.1% 0.03080260
98 Not asked 9210 NA


r31_dmpgo


Variable label: Agree/Disagree: It should be possible for the Storting to be overridden by the government if it hampers the government’s work.
Literal question:

To what extent do you agree or disagree with the following principles about how a political system should be organised and governed?

It should be possible for the Storting to be overridden by the government if it hampers the government’s work.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Displayed in random order with [r31_dmpce], [r31_dmpop], [r31_dmpvr], [r31_dmper], [r31_dmpgc], [r31_dmpbl].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 18 0.8% 0.007809111
2 Agree 58 2.5% 0.025162690
3 Agree somewhat 143 6.2% 0.062039046
4 Neither agree nor disagree 245 10.6% 0.106290672
5 Disagree somewhat 187 8.1% 0.081127983
6 Disagree 580 25.2% 0.251626898
7 Strongly disagree 1000 43.4% 0.433839479
97 Not answered 74 3.2% 0.032104121
98 Not asked 9210 NA


r31_dmpbl


Variable label: Agree/Disagree: The government should be able to bend legislation in order to resolve critical social and political challenges.
Literal question:

To what extent do you agree or disagree with the following principles about how a political system should be organised and governed?

The government should be able to bend legislation in order to resolve critical social and political challenges.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Displayed in random order with [r31_dmpce], [r31_dmpop], [r31_dmpvr], [r31_dmper], [r31_dmpgc], [r31_dmpgo].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 30 1.3% 0.01301518
2 Agree 120 5.2% 0.05206074
3 Agree somewhat 321 13.9% 0.13926247
4 Neither agree nor disagree 189 8.2% 0.08199566
5 Disagree somewhat 242 10.5% 0.10498915
6 Disagree 600 26.0% 0.26030369
7 Strongly disagree 725 31.5% 0.31453362
97 Not answered 78 3.4% 0.03383948
98 Not asked 9210 NA


r31_dmpos_order


Variable label: Shows the order of the questions [r31_dmpce], [r31_dmpop], [r31_dmpvr], [r31_dmper], [r31_dmpgc], [r31_dmpgo], and [r31_dmpbl] was displayed in.
Field period: 04.11.2024 - 25.11.2024
Technical attributes: [Question type:Open] [Format:character] [Valid:2256] [Invalid:9259] [Range:-]



r31_teaih


Variable label: How long until artificial intelligence is as intelligent as humans
Literal question: If you had to make a guess, how long do you think it will take before artificial intelligence (AI) becomes as intelligent as humans in all areas?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 It already exists 229 9.9% 0.09934924
2 1-4 years 305 13.2% 0.13232104
3 5-9 years 354 15.4% 0.15357918
4 10-49 years 437 19.0% 0.18958785
5 50+ years 127 5.5% 0.05509761
6 It will never happen 771 33.4% 0.33449024
97 Not answered 82 3.6% 0.03557484
98 Not asked 9210 NA


r31_teair


Variable label: Agree/Disagree: International regulations should be created to slow down the development of artificial intelligence.
Literal question:

To what extent do you agree or disagree with the following statement?

International regulations should be drawn up to slow down the development of artificial intelligence.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 454 19.7% 0.19696312
2 Agree 513 22.3% 0.22255965
3 Agree somewhat 547 23.7% 0.23731020
4 Neither agree nor disagree 343 14.9% 0.14880694
5 Disagree somewhat 141 6.1% 0.06117137
6 Disagree 164 7.1% 0.07114967
7 Strongly disagree 73 3.2% 0.03167028
97 Not answered 70 3.0% 0.03036876
98 Not asked 9210 NA


r31_teaiw


Variable label: Agree/Disagree: Artificial intelligence will significantly change the job tasks in my industry.
Literal question:

To what extent do you agree or disagree with the following statement?

Artificial intelligence will greatly change the work carried out in my field of work.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 Strongly agree 196 8.5% 0.08503254
2 Agree 427 18.5% 0.18524946
3 Agree somewhat 521 22.6% 0.22603037
4 Neither agree nor disagree 209 9.1% 0.09067245
5 Disagree somewhat 141 6.1% 0.06117137
6 Disagree 182 7.9% 0.07895879
7 Strongly disagree 109 4.7% 0.04728850
8 Not relevant 452 19.6% 0.19609544
97 Not answered 68 3.0% 0.02950108
98 Not asked 9210 NA


r31_plseo_1


Variable label: Sexual orientation: Heterosexual
Pre-question text:

We now have a question about sexual orientation.

Do you consider yourself to be…
Literal question: Heterosexual
Post-question: Several answers are possible.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_plseo_2


Variable label: Sexual orientation: Homosexual
Pre-question text:

We now have a question about sexual orientation.

Do you consider yourself to be…
Literal question: Homosexual
Post-question: Several answers are possible.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_plseo_3


Variable label: Sexual orientation: Lesbian
Pre-question text:

We now have a question about sexual orientation.

Do you consider yourself to be…
Literal question: Lesbian
Post-question: Several answers are possible.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_plseo_4


Variable label: Sexual orientation: Bisexual
Pre-question text:

We now have a question about sexual orientation.

Do you consider yourself to be…
Literal question: Bisexual
Post-question: Several answers are possible.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_plseo_5


Variable label: Sexual orientation: Pansexual
Pre-question text:

We now have a question about sexual orientation.

Do you consider yourself to be…
Literal question: Pansexual
Post-question: Several answers are possible.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_plseo_6


Variable label: Sexual orientation: Queer
Pre-question text:

We now have a question about sexual orientation.

Do you consider yourself to be…
Literal question: Queer
Post-question: Several answers are possible.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_plseo_7


Variable label: Sexual orientation: Asexual
Pre-question text:

We now have a question about sexual orientation.

Do you consider yourself to be…
Literal question: Asexual
Post-question: Several answers are possible.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_plseo_8


Variable label: Sexual orientation: Uncertain/questioning
Pre-question text:

We now have a question about sexual orientation.

Do you consider yourself to be…
Literal question: Uncertain/questioning
Post-question: Several answers are possible.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_plseo_9


Variable label: Sexual orientation: Other:
Pre-question text:

We now have a question about sexual orientation.

Do you consider yourself to be…
Literal question: Other:
Post-question: Several answers are possible.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_plseo_9_other


Variable label: Other: Sexual orientation: Open ended
Pre-question text:

We now have a question about sexual orientation.

Do you consider yourself to be…
Literal question: Other:
Post-question: Several answers are possible.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 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:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_plseo_10


Variable label: Sexual orientation: Do not wish to answer
Pre-question text:

We now have a question about sexual orientation.

Do you consider yourself to be…
Literal question: Do not wish to answer
Post-question: Several answers are possible.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3)]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_dmtelx_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dmtelx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 4)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2245] [Invalid:9270] [Range:1-4]

Value Label Cases Percentage
1 In Norway, the average term for parliamentary representatives is 8 years. 575 25.6% 0.2561247
2 In Norway, the average age of parliamentary representatives is 48 years. 527 23.5% 0.2347439
3 In Norway, the parliamentary representative with the longest period in office has been there for 34 years. 573 25.5% 0.2552339
4 BLANK 570 25.4% 0.2538976
Sysmiss 9270 NA


r31_dmtelx


Variable label: Agree/Disagree: a restriction of 3 election periods (12 years) should be imposed for election to the Storting?
Literal question:

Some countries are considering imposing restrictions on how long politicians can sit in parliament.

[r31_dmtelx_ran]

To what extent do you agree or disagree that a restriction of 3 election periods (12 years) should be imposed for election to the Storting?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 4)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 463 20.6% 0.206236080
2 Agree 557 24.8% 0.248106904
3 Agree somewhat 434 19.3% 0.193318486
4 Neither agree nor disagree 409 18.2% 0.182182628
5 Disagree somewhat 177 7.9% 0.078841871
6 Disagree 163 7.3% 0.072605791
7 Strongly disagree 38 1.7% 0.016926503
97 Not answered 4 0.2% 0.001781737
98 Not asked 9270 NA


r31_dmaicx_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dmaicx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 4)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2245] [Invalid:9270] [Range:1-5]

Value Label Cases Percentage
1 BLANK 420 18.7% 0.1870824
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. 446 19.9% 0.1986637
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. 485 21.6% 0.2160356
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. 467 20.8% 0.2080178
5 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 placed most weight on. 427 19.0% 0.1902004
Sysmiss 9270 NA


r31_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. 

[r31_dmaicx_ran]

Generally speaking, to what extent do you think this system is fair?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 4)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 85 3.8% 0.03786192
2 A high degree 519 23.1% 0.23118040
3 Some degree 862 38.4% 0.38396437
4 A low degree 467 20.8% 0.20801782
5 Not at all 289 12.9% 0.12873051
97 Not answered 23 1.0% 0.01024499
98 Not asked 9270 NA


r31_cppus_1


Variable label: Agree/Disagree: The provision of public services where I live is good enough.
Pre-question text: The prerequisites for public services appear to be quite different in different parts of Norway. On this basis, what are your views on the following statements?
Literal question: The provision of public services where I live is good enough.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 4)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 209 9.3% 0.09309577
2 Agree 789 35.1% 0.35144766
3 Agree somewhat 532 23.7% 0.23697105
4 Neither agree nor disagree 171 7.6% 0.07616927
5 Disagree somewhat 270 12.0% 0.12026726
6 Disagree 184 8.2% 0.08195991
7 Strongly disagree 55 2.4% 0.02449889
97 Not answered 35 1.6% 0.01559020
98 Not asked 9270 NA


r31_cppus_2


Variable label: Agree/Disagree: Those living in scattered areas/in smaller communities must be prepared for poorer access to services.
Pre-question text: The prerequisites for public services appear to be quite different in different parts of Norway. On this basis, what are your views on the following statements?
Literal question: Those living in scattered areas/in smaller communities must be prepared for poorer access to services.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 4)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 107 4.8% 0.04766147
2 Agree 377 16.8% 0.16792873
3 Agree somewhat 633 28.2% 0.28195991
4 Neither agree nor disagree 148 6.6% 0.06592428
5 Disagree somewhat 363 16.2% 0.16169265
6 Disagree 384 17.1% 0.17104677
7 Strongly disagree 193 8.6% 0.08596882
97 Not answered 40 1.8% 0.01781737
98 Not asked 9270 NA


r31_cppus_3


Variable label: Agree/Disagree: Services should be available near people, even when it costs more.
Pre-question text: The prerequisites for public services appear to be quite different in different parts of Norway. On this basis, what are your views on the following statements?
Literal question: Services should be available near people, even when it costs more.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 4)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 283 12.6% 0.12605791
2 Agree 670 29.8% 0.29844098
3 Agree somewhat 614 27.3% 0.27349666
4 Neither agree nor disagree 206 9.2% 0.09175947
5 Disagree somewhat 299 13.3% 0.13318486
6 Disagree 104 4.6% 0.04632517
7 Strongly disagree 36 1.6% 0.01603563
97 Not answered 33 1.5% 0.01469933
98 Not asked 9270 NA


r31_cehod


Variable label: Have you previously experienced damage to your home and/or land as a result of heavy rain?
Literal question: Have you previously experienced damage to your home and/or land as a result of heavy rain?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 4)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Yes 315 14.0% 0.14031180
2 No 1874 83.5% 0.83474388
3 Don't know 31 1.4% 0.01380846
97 Not answered 25 1.1% 0.01113586
98 Not asked 9270 NA


r31_cehow2


Variable label: Degree of concern that extreme weather or consequences of climate change will cause damage to your home.
Literal question:

Climate change is likely to bring more rain and flooding, rising sea levels and more landslides/avalanches in Norway.

Are you worried that extreme weather or the consequences of climate change will cause damage to your home and/or land?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 4)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very worried 51 2.3% 0.02271715
2 Worried 245 10.9% 0.10913140
3 Somewhat worried 597 26.6% 0.26592428
4 Not very worried 990 44.1% 0.44097996
5 Not at all worried 338 15.1% 0.15055679
97 Not answered 24 1.1% 0.01069042
98 Not asked 9270 NA


r31_cesfex_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_cesfex].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 4)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2223] [Invalid:9292] [Range:1-2]

Value Label Cases Percentage
1 If the charge is introduced, private individuals, housing cooperatives and co-owners can apply for money for solutions, such as rain gardens or open ditches, in order to deal with heavy rain. 1161 52.2% 0.5222672
2 BLANK 1062 47.8% 0.4777328
Sysmiss 9292 NA


r31_cesfex


Variable label: Where do you stand on homeowners in your municipality having to pay an annual fee to handle heavy rain through ditches, rainbeds, and similar?
Literal question:

Heavy rain can be dealt with by having ditches and rain gardens which can both prevent damage and provide more green spaces. The municipality’s water and sewerage charges cannot be used to pay for this. If damage caused by heavy rain is not limited, home insurance could become more expensive in the future.

Imagine that municipalities are able to impose a charge which home owners will have to pay based on how much water flows from their properties (surface water charge). For a normal detached house this charge could be between NOK 500 and NOK 1000 per year. The money would be spent on solutions for dealing with heavy rain.

[r31_cesfex_ran]

Image 1: Flooding due to heavy rain Photo: Frank Tinmannsvik

Image 2: Rain garden Photo: Bent Braskerud / Oslo-VAV

What do you think about home owners in your municipality having to pay an annual charge in order to deal with heavy rain by having ditches and rain gardens, etc?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 4)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Strongly in favour 313 13.9% 0.13942094
2 Partly in favour 733 32.7% 0.32650334
3 Neither for nor against 326 14.5% 0.14521158
4 Somewhat against 333 14.8% 0.14832962
5 Strongly against 406 18.1% 0.18084633
6 Don't know 111 4.9% 0.04944321
97 Not answered 23 1.0% 0.01024499
98 Not asked 9270 NA


r31_cesfpx


Variable label: Fee for handling heavy rain’s impact on damages
Literal question: If homeowners in your municipality pay an annual charge for dealing with heavy rain, to what extent do you think this would help to limit any damage?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 4)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 A very high degree 49 2.2% 0.02182628
2 A high degree 306 13.6% 0.13630290
3 Some degree 906 40.4% 0.40356347
4 A low degree 560 24.9% 0.24944321
5 Not at all 228 10.2% 0.10155902
6 Don't know 159 7.1% 0.07082405
97 Not answered 37 1.6% 0.01648107
98 Not asked 9270 NA


r31_cesfsx


Variable label: Fee for handling heavy rain’s impact on the household
Literal question: If homeowners in your municipality pay an annual charge for dealing with heavy rain, how do you think this would affect your household? Please consider both the charge and the damage avoided.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 4)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Very positively 32 1.4% 0.01425390
2 Positively 468 20.8% 0.20846325
3 No influence 1055 47.0% 0.46993318
4 Negatively 351 15.6% 0.15634744
5 Very negatively 94 4.2% 0.04187082
6 Don't know 200 8.9% 0.08908686
97 Not answered 45 2.0% 0.02004454
98 Not asked 9270 NA


r31_cesfox


Variable label: Fee for handling heavy rain’s impact on households with low income
Literal question: If homeowners in your municipality pay an annual charge for dealing with heavy rain, how do you think this would affect low-income households? Please consider both the charge and the damage avoided.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 4)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Very positively 19 0.8% 0.008463252
2 Positively 368 16.4% 0.163919822
3 No influence 244 10.9% 0.108685969
4 Negatively 980 43.7% 0.436525612
5 Very negatively 359 16.0% 0.159910913
6 Don't know 225 10.0% 0.100222717
97 Not answered 50 2.2% 0.022271715
98 Not asked 9270 NA


r31_plhom


Variable label: What is your living situation?
Literal question: What is your living situation?
Post-question: In this context we are thinking about your primary residence.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 4)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 I live in a detached house 1134 50.5% 0.50512249
2 I live in semi-detached/multi-family house, terraced house or another type of small house 480 21.4% 0.21380846
3 I live in an apartment building or a block of flats 552 24.6% 0.24587973
4 Other: 48 2.1% 0.02138085
97 Not answered 31 1.4% 0.01380846
98 Not asked 9270 NA


r31_plhom_4_other


Variable label: What is your living situation: Other:
Pre-question text: What is your living situation?
Literal question: Other:
Post-question: In this context we are thinking about your primary residence.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 4)]

[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:11515] [Range:-]



r31_plhow


Variable label: Do you own or rent your primary residence?
Literal question: Do you own or rent your primary residence?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 4)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 I own my home, in full or in part 1902 84.7% 0.84721604
2 I am renting my home 237 10.6% 0.10556793
3 Other: 69 3.1% 0.03073497
97 Not answered 37 1.6% 0.01648107
98 Not asked 9270 NA


r31_plhow_3_other


Variable label: Do you own or rent your primary residence?: Other:
Pre-question text: Do you own or rent your primary residence?
Literal question: Other:
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 4)]

[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:11515] [Range:-]



r31_cecpax


Variable label: Confidence in public authorities
Literal question: To what extent do you have confidence in the public authorities?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 4)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 A very high degree 148 6.6% 0.065924276
2 A high degree 1070 47.7% 0.476614699
3 Some degree 731 32.6% 0.325612472
4 A low degree 209 9.3% 0.093095768
5 Not at all 55 2.4% 0.024498886
6 Don't know 3 0.1% 0.001336303
97 Not answered 29 1.3% 0.012917595
98 Not asked 9270 NA


r31_lgcsix_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_lgcsix].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 4) and if the respondent has not been exposed to [r30_lgcsix]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1893] [Invalid:9622] [Range:1-2]

Value Label Cases Percentage
1 woman 972 51.3% 0.5134707
2 man 921 48.7% 0.4865293
Sysmiss 9622 NA


r31_lgcsix_1


Variable label: Agree/disagree: [The man/woman] has done something wrong/morally problematic.
Pre-question text:

Imagine that a [r31_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: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 4) and if the respondent has not been exposed to [r30_lgcsix]]

[Data withheld.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_lgcsix_2


Variable label: Agree/disagree: [The man/woman]’s actions should be punished by imprisonment.
Pre-question text:

Imagine that a [r31_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: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 4) and if the respondent has not been exposed to [r30_lgcsix]]

[Data withheld.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_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 [r31_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: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 4) and if the respondent has not been exposed to [r30_lgcsix]]

[Data withheld.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_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 [r31_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: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 4) and if the respondent has not been exposed to [r30_lgcsix]]

[Data withheld.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_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: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 4) and if the respondent has not been exposed to [r30_lgcsix]]

[Data withheld.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_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: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 4) and if the respondent has not been exposed to [r30_lgcsix]]

[Data withheld.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_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: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 4) and if the respondent has not been exposed to [r30_lgcsix]]

[Data withheld.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_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.
Post-question: Several answers are possible.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 4) and if the respondent has not been exposed to [r30_lgcsix]]

[Answer list display order: Randomize]

[Data withheld.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_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.
Post-question: Several answers are possible.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 4) and if the respondent has not been exposed to [r30_lgcsix]]

[Answer list display order: Randomize]

[Data withheld.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_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
Post-question: Several answers are possible.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 4) and if the respondent has not been exposed to [r30_lgcsix]]

[Answer list display order: Randomize]

[Data withheld.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_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
Post-question: Several answers are possible.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 4) and if the respondent has not been exposed to [r30_lgcsix]]

[Answer list display order: Randomize]

[Data withheld.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_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.
Post-question: Several answers are possible.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 4) and if the respondent has not been exposed to [r30_lgcsix]]

[Answer list display order: Randomize]

[Data withheld.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_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
Post-question: Several answers are possible.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 4) and if the respondent has not been exposed to [r30_lgcsix]]

[Answer list display order: Randomize]

[Data withheld.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_wo80px_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_wo80px].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 4)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2209] [Invalid:9306] [Range:1-2]

Value Label Cases Percentage
1 still receive 100% pay 1083 49.0% 0.4902671
2 receive 90% pay 1126 51.0% 0.5097329
Sysmiss 9306 NA


r31_wo80px_pipe


Variable label: Selects an element for textpiping in [r31_wo80pxo2] based on [r31_wo80px_ran].
Field period: 04.11.2024 - 25.11.2024
Technical description:

[If [r31_wo80px_ran] = 1 the value is set to 1. If [r31_wo80px_ran] = 2 the value is set to 2.

]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2209] [Invalid:9306] [Range:1-2]

Value Label Cases Percentage
1 100 1083 49.0% 0.4902671
2 90 1126 51.0% 0.5097329
Sysmiss 9306 NA


r31_wo80px


Variable label: Positive/negative: Working 80%
Literal question: Imagine that you work full time. Your employer provides you with the opportunity to work 80%, but you would [r31_wo80px_ran]. How positive or negative are you about this?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 4)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 799 35.6% 0.35590200
2 Positive 636 28.3% 0.28329621
3 Somewhat positive 315 14.0% 0.14031180
4 Neither positive nor negative 156 6.9% 0.06948775
5 Somewhat negative 94 4.2% 0.04187082
6 Negative 145 6.5% 0.06458797
7 Very negative 58 2.6% 0.02583519
97 Not answered 42 1.9% 0.01870824
98 Not asked 9270 NA


r31_wo80pxo2_pipe


Variable label: Selects an element for textpiping in [r31_wo80pxo2] based on [r31_wo80px_ran].
Field period: 04.11.2024 - 25.11.2024
Technical description: [If [r31_wo80px] = 5 the value is set to 5. If [r31_wo80px] = 6 the value is set to 6. If [r31_wo80px] = 7 the value is set to 7.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:312] [Invalid:11203] [Range:5-7]

Value Label Cases Percentage
5 somewhat negative 100 32.1% 0.3205128
6 negative 154 49.4% 0.4935897
7 very negative 58 18.6% 0.1858974
Sysmiss 11203 NA


r31_wo80pxo1


Variable label: What would you use the extra time for?
Literal question: Reduced working hours free up time for other activities. If this became a reality for you, what would you do in your extra time?
Post-question: Please write down the first thing you think of. All types of responses are welcome, preferably a couple of sentences, or just a few words if you prefer.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_wo80px = 1, 2, 3, 4) & (r31_group = 4)]

[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:11515] [Range:-]



r31_wo80pxo2


Variable label: Explanation for the attitude towards working 80%
Literal question: You have said you are [r31_wo80pxo2_pipe] to working 80% with [r31_wo80px_pipe]% paid wages. What is the reason for this?
Post-question: Please write down the first thing you think of. All types of responses are welcome, preferably a couple of sentences, or just a few words if you prefer.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_wo80px = 5, 6, 7) & (r31_group = 4)]

[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:11515] [Range:-]



r31_worhdx


Variable label: Shorter working days or fewer days per week
Literal question: If you were required to work 80%, would you prefer working:
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 4)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Shorter working days (and the same number of days per week) 375 16.7% 0.16703786
2 Fewer days per week 1809 80.6% 0.80579065
97 Not answered 61 2.7% 0.02717149
98 Not asked 9270 NA


r31_worwhx_1


Variable label: To what extent would a reduced working hours arrangement: resulted in a better balance between my working life and my personal life.
Pre-question text: To what extent would a reduced working hours arrangement…
Literal question: …resulted in a better balance between my working life and my personal life.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 4)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 590 26.3% 0.26280624
2 A high degree 674 30.0% 0.30022272
3 Some degree 577 25.7% 0.25701559
4 A low degree 217 9.7% 0.09665924
5 Not at all 115 5.1% 0.05122494
97 Not answered 72 3.2% 0.03207127
98 Not asked 9270 NA


r31_worwhx_2


Variable label: To what extent would a reduced working hours arrangement: allowed me to stay at work longer.
Pre-question text: To what extent would a reduced working hours arrangement…
Literal question: … allowed me to stay at work longer.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 4)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 396 17.6% 0.17639198
2 A high degree 573 25.5% 0.25523385
3 Some degree 611 27.2% 0.27216036
4 A low degree 365 16.3% 0.16258352
5 Not at all 216 9.6% 0.09621381
97 Not answered 84 3.7% 0.03741648
98 Not asked 9270 NA


r31_worwhx_3


Variable label: To what extent would a reduced working hours arrangement: made it easier for me to live in an environmentally friendly manner.
Pre-question text: To what extent would a reduced working hours arrangement…
Literal question: … made it easier for me to live in an environmentally friendly manner.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 4)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 136 6.1% 0.06057906
2 A high degree 247 11.0% 0.11002227
3 Some degree 599 26.7% 0.26681514
4 A low degree 594 26.5% 0.26458797
5 Not at all 569 25.3% 0.25345212
97 Not answered 100 4.5% 0.04454343
98 Not asked 9270 NA


r31_worwhx_4


Variable label: To what extent would a reduced working hours arrangement: made it easier for me to use a car less.
Pre-question text: To what extent would a reduced working hours arrangement…
Literal question: … made it easier for me to use a car less.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 4)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 195 8.7% 0.08685969
2 A high degree 294 13.1% 0.13095768
3 Some degree 523 23.3% 0.23296214
4 A low degree 487 21.7% 0.21692650
5 Not at all 649 28.9% 0.28908686
97 Not answered 97 4.3% 0.04320713
98 Not asked 9270 NA


r31_ecred


Variable label: Agree/Disagree: The government should redistribute income from the better-off to those who are less well-off
Literal question: To what extent you agree or disagree with the following statement: The government should redistribute income from the better-off to those who are less well-off
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 404 17.7% 0.17719298
2 Agree 523 22.9% 0.22938596
3 Somewhat agree 614 26.9% 0.26929825
4 Neither agree nor disagree 243 10.7% 0.10657895
5 Somewhat disagree 223 9.8% 0.09780702
6 Disagree 181 7.9% 0.07938596
7 Strongly disagree 72 3.2% 0.03157895
97 Not answered 20 0.9% 0.00877193
98 Not asked 9235 NA


r31_ecsem


Variable label: Agree/Disagree: The state should work to strengthen private entrepreneurship and the market economy.
Literal question: To what extent you agree or disagree with the following statement: The government should work to strengthen private entrepreneurship and the market economy
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 389 17.1% 0.170614035
2 Agree 563 24.7% 0.246929825
3 Somewhat agree 569 25.0% 0.249561404
4 Neither agree nor disagree 365 16.0% 0.160087719
5 Somewhat disagree 195 8.6% 0.085526316
6 Disagree 131 5.7% 0.057456140
7 Strongly disagree 47 2.1% 0.020614035
97 Not answered 21 0.9% 0.009210526
98 Not asked 9235 NA


r31_cpbupx_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_cpbupx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2280] [Invalid:9235] [Range:1-6]

Value Label Cases Percentage
1 rural areas. 418 18.3% 0.1833333
2 places in rural areas that have experienced depopulation. 367 16.1% 0.1609649
3 places in rural areas where many people live in poverty. 371 16.3% 0.1627193
4 cities. 369 16.2% 0.1618421
5 cities where many people live in poverty. 380 16.7% 0.1666667
6 cities where many people live in poverty and where many immigrants also live. 375 16.4% 0.1644737
Sysmiss 9235 NA


r31_cpbupx


Variable label: Good/bad: The state should reprioritize so that a larger portion of the public budget goes to [r31_cpbupx_ran]
Literal question:

How good or bad do you think the following proposal is:

The government should reprioritize so that a larger part of the public budget goes to [r31_cpbupx_ran]
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 179 7.9% 0.078508772
2 Good 469 20.6% 0.205701754
3 Somewhat good 620 27.2% 0.271929825
4 Neither good nor bad 450 19.7% 0.197368421
5 Somewhat bad 306 13.4% 0.134210526
6 Bad 167 7.3% 0.073245614
7 Very bad 82 3.6% 0.035964912
97 Not answered 7 0.3% 0.003070175
98 Not asked 9235 NA


r31_dmhsyx_ran1


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dmhsyx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2280] [Invalid:9235] [Range:1-2]

Value Label Cases Percentage
1 criticize 1091 47.9% 0.4785088
2 degrade 1189 52.1% 0.5214912
Sysmiss 9235 NA


r31_dmhsyx_ran2


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dmhsyx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2280] [Invalid:9235] [Range:1-3]

Value Label Cases Percentage
1 Muslims 774 33.9% 0.3394737
2 Jews 742 32.5% 0.3254386
3 Christians 764 33.5% 0.3350877
Sysmiss 9235 NA


r31_dmhsyx


Variable label: Placement on the scale: symbols that are sacred
Literal question:

Please place yourself on the scale below where

0 means that people who [r31_dmhsyx_ran1] symbols that are sacred to [r31_dmhsyx_ran2] should continue doing so if they want to, because we live in a democracy with freedom of speech. 10 means that people who [r31_dmhsyx_ran1] symbols that are sacred to [r31_dmhsyx_ran2] should stop doing so, because they should show respect for people’s religious beliefs.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 0 - Continue 210 9.2% 0.092105263
1 1 65 2.9% 0.028508772
2 2 118 5.2% 0.051754386
3 3 115 5.0% 0.050438596
4 4 91 4.0% 0.039912281
5 5 353 15.5% 0.154824561
6 6 102 4.5% 0.044736842
7 7 167 7.3% 0.073245614
8 8 250 11.0% 0.109649123
9 9 130 5.7% 0.057017544
10 10 - Stop 664 29.1% 0.291228070
97 Not answered 15 0.7% 0.006578947
98 Not asked 9235 NA


r31_dvmsax_ran1


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dvmsax].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2280] [Invalid:9235] [Range:1-2]

Value Label Cases Percentage
1 hospitals 1067 46.8% 0.4679825
2 prisons 1213 53.2% 0.5320175
Sysmiss 9235 NA


r31_dvmsax_pipe1


Variable label: Experiment. Selects an element for textpiping in [r31_dvmsax] based on [r31_dvmsax_ran1].
Field period: 04.11.2024 - 25.11.2024
Technical description: [If [r31_dvmsax_ran1] = 1 the value is set to 1. If [r31_dvmsax_ran1] = 2 the value is set to 2.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2280] [Invalid:9235] [Range:1-2]

Value Label Cases Percentage
1 patients 1067 46.8% 0.4679825
2 inmates 1213 53.2% 0.5320175
Sysmiss 9235 NA


r31_dvmsax_pipe2


Variable label: Experiment. Selects an element for textpiping in [r31_dvmsax] based on [r31_dvmsax_ran1].
Field period: 04.11.2024 - 25.11.2024
Technical description: [If [r31_dvmsax_ran1] = 1 the value is set to 1. If [r31_dvmsax_ran1] = 2 the value is set to 2.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2280] [Invalid:9235] [Range:1-2]

Value Label Cases Percentage
1 patients 1067 46.8% 0.4679825
2 inmates 1213 53.2% 0.5320175
Sysmiss 9235 NA


r31_dvmsax_ran2


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dvmsax].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2280] [Invalid:9235] [Range:1-3]

Value Label Cases Percentage
1 BLANK 723 31.7% 0.3171053
2 trained at a domestic institution of higher education 761 33.4% 0.3337719
3 trained abroad in a country where Islam is the main religion 796 34.9% 0.3491228
Sysmiss 9235 NA


r31_dvmsax


Variable label: Trust/distrust in Muslim councillors (chaplains)
Literal question: Some [r31_dvmsax_ran1] have councilors whose job is to meet the spiritual needs of [r31_dvmsax_pipe1]. How much do you trust or distrust Muslim councillors (chaplains) [r31_dvmsax_ran2] to offer appropriate spiritual guidance to Muslim [r31_dvmsax_pipe2]?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Trust very much 103 4.5% 0.045175439
2 Trust 505 22.1% 0.221491228
3 Trust somewhat 341 15.0% 0.149561404
4 Neither trust nor distrust 791 34.7% 0.346929825
5 Distrust somewhat 212 9.3% 0.092982456
6 Distrust 155 6.8% 0.067982456
7 Distrust very much 161 7.1% 0.070614035
97 Not answered 12 0.5% 0.005263158
98 Not asked 9235 NA


r31_dmimp2_1


Variable label: How positive or negative an impact do you think the following have on social development: The green movement
Literal question:

In your own view, does the following have mainly a positive or mainly a negative societal impact?

The green movement
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 5)]

[Displayed in random order with [r31_dmimp2_2], [r31_dmimp2_3], [r31_dmimp2_4], [r31_dmimp2_5].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 270 11.8% 0.11842105
2 Positive 654 28.7% 0.28684211
3 Somewhat positive 606 26.6% 0.26578947
4 Neither positive nor negative 223 9.8% 0.09780702
5 Somewhat negative 227 10.0% 0.09956140
6 Negative 145 6.4% 0.06359649
7 Very negative 130 5.7% 0.05701754
97 Not answered 25 1.1% 0.01096491
98 Not asked 9235 NA


r31_dmimp2_2


Variable label: How positive or negative an impact do you think the following have on social development: Feminism
Literal question:

In your own view, does the following have mainly a positive or mainly a negative societal impact?

Feminism
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 5)]

[Displayed in random order with [r31_dmimp2_1], [r31_dmimp2_3], [r31_dmimp2_4], [r31_dmimp2_5].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 285 12.5% 0.12500000
2 Positive 641 28.1% 0.28114035
3 Somewhat positive 553 24.3% 0.24254386
4 Neither positive nor negative 418 18.3% 0.18333333
5 Somewhat negative 199 8.7% 0.08728070
6 Negative 117 5.1% 0.05131579
7 Very negative 47 2.1% 0.02061404
97 Not answered 20 0.9% 0.00877193
98 Not asked 9235 NA


r31_dmimp2_3


Variable label: How positive or negative an impact do you think the following have on social development: Immigration
Literal question:

In your own view, does the following have mainly a positive or mainly a negative societal impact?

Immigration
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 5)]

[Displayed in random order with [r31_dmimp2_1], [r31_dmimp2_2], [r31_dmimp2_4], [r31_dmimp2_5].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 51 2.2% 0.022368421
2 Positive 395 17.3% 0.173245614
3 Somewhat positive 739 32.4% 0.324122807
4 Neither positive nor negative 304 13.3% 0.133333333
5 Somewhat negative 444 19.5% 0.194736842
6 Negative 221 9.7% 0.096929825
7 Very negative 108 4.7% 0.047368421
97 Not answered 18 0.8% 0.007894737
98 Not asked 9235 NA


r31_dmimp2_4


Variable label: How positive or negative an impact do you think the following have on social development: EU (the European Union)
Literal question:

In your own view, does the following have mainly a positive or mainly a negative societal impact?

The EU (European Union)
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 5)]

[Displayed in random order with [r31_dmimp2_1], [r31_dmimp2_2], [r31_dmimp2_3], [r31_dmimp2_5].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 94 4.1% 0.041228070
2 Positive 470 20.6% 0.206140351
3 Somewhat positive 596 26.1% 0.261403509
4 Neither positive nor negative 435 19.1% 0.190789474
5 Somewhat negative 356 15.6% 0.156140351
6 Negative 196 8.6% 0.085964912
7 Very negative 118 5.2% 0.051754386
97 Not answered 15 0.7% 0.006578947
98 Not asked 9235 NA


r31_dmimp2_5


Variable label: How positive or negative an impact do you think the following have on social development: Our contry’s Christian cultural heritage
Literal question:

In your own view, does the following have mainly a positive or mainly a negative societal impact?

Our country’s Christian cultural heritage
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 5)]

[Displayed in random order with [r31_dmimp2_1], [r31_dmimp2_2], [r31_dmimp2_3], [r31_dmimp2_4].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 192 8.4% 0.084210526
2 Positive 509 22.3% 0.223245614
3 Somewhat positive 563 24.7% 0.246929825
4 Neither positive nor negative 596 26.1% 0.261403509
5 Somewhat negative 257 11.3% 0.112719298
6 Negative 102 4.5% 0.044736842
7 Very negative 40 1.8% 0.017543860
97 Not answered 21 0.9% 0.009210526
98 Not asked 9235 NA


r31_dvretx_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dvretx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2280] [Invalid:9235] [Range:1-3]

Value Label Cases Percentage
1 from Ukraine 747 32.8% 0.3276316
2 from non-European countries 806 35.4% 0.3535088
3 BLANK 727 31.9% 0.3188596
Sysmiss 9235 NA


r31_dvretx


Variable label: Agree/disagree: Norway should make its immigration policy stricter when it comes to refugees [r31_dvretx_ran]?
Literal question: How much do you agree or disagree that Norway should tighten immigration policy regarding refugees [r31_dvretx_ran]?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 340 14.9% 0.149122807
2 Agree 374 16.4% 0.164035088
3 Somewhat agree 578 25.4% 0.253508772
4 Neither agree nor disagree 318 13.9% 0.139473684
5 Somewhat disagree 355 15.6% 0.155701754
6 Disagree 228 10.0% 0.100000000
7 Strongly disagree 81 3.6% 0.035526316
97 Not answered 6 0.3% 0.002631579
98 Not asked 9235 NA


r31_dvreix


Variable label: How easy or difficult would you say it is to integrate refugees [r31_dvretx_ran] in Norway?
Literal question: How easy or difficult would you say it is to integrate refugees [r31_dvretx_ran] in Norway?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very easy 18 0.8% 0.007894737
2 Easy 124 5.4% 0.054385965
3 Somewhat easy 239 10.5% 0.104824561
4 Neither easy nor difficult 352 15.4% 0.154385965
5 Somewhat difficult 794 34.8% 0.348245614
6 Difficult 570 25.0% 0.250000000
7 Very difficult 167 7.3% 0.073245614
97 Not answered 16 0.7% 0.007017544
98 Not asked 9235 NA


r31_ce2orx_1_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_ce2orx_1].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2276] [Invalid:9239] [Range:1-2]

Value Label Cases Percentage
1 It should be cheaper to travel by public transport 1165 51.2% 0.5118629
2 Fossil fuels (gasoline/diesel) should become more expensive 1111 48.8% 0.4881371
Sysmiss 9239 NA


r31_ce2orx_2_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_ce2orx_2].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2276] [Invalid:9239] [Range:1-2]

Value Label Cases Percentage
1 Food with a high climate footprint should be more expensive, while food with a low climate footprint should be cheaper 1116 49.0% 0.4903339
2 Red meat should be more expensive, while plant-based food should be cheaper 1160 51.0% 0.5096661
Sysmiss 9239 NA


r31_ce2orx_3_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_ce2orx_3].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2276] [Invalid:9239] [Range:1-2]

Value Label Cases Percentage
1 offshore 1062 46.7% 0.4666081
2 onshore 1214 53.3% 0.5333919
Sysmiss 9239 NA


r31_ce2orx_4_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_ce2orx_4].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2276] [Invalid:9239] [Range:1-2]

Value Label Cases Percentage
1 More solar panels should be installed on houses 1152 50.6% 0.5061511
2 More solar power plants should be built 1124 49.4% 0.4938489
Sysmiss 9239 NA


r31_dv2orx_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dv2orx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2276] [Invalid:9239] [Range:1-4]

Value Label Cases Percentage
1 no longer serve meals with meat to slow down climate change 548 24.1% 0.2407733
2 add meals without meat to slow down climate change 574 25.2% 0.2521968
3 no longer serve meals with pork to be considerate of Muslim religious rules 564 24.8% 0.2478032
4 add meals without pork to be considerate of Muslim religious rules 590 25.9% 0.2592267
Sysmiss 9239 NA


r31_ce2orx_1


Variable label: Assessment of Norwegians’ views on [r31_ce2orx_1_ran].
Literal question:

What is your assessment of Norwegians’ views on this?

[r31_ce2orx_1_ran].
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 5)]

[Displayed in random order with [r31_ce2orx_2], [r31_ce2orx_3], [r31_ce2orx_4].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Almost everyone agrees (85% or more agree) 472 20.7% 0.207017544
2 Most people agree (Between 70% and 85% agree) 502 22.0% 0.220175439
3 They lean towards agree (Between 55% and 70% agree) 259 11.4% 0.113596491
4 The population is divided (Between 45% and 55% agree) 309 13.6% 0.135526316
5 They lean towards disagree (Between 30% and 45% agree) 302 13.2% 0.132456140
6 Most people disagree (Between 15% and 30% agree) 302 13.2% 0.132456140
7 Almost everyone disagrees (15% or less agree) 119 5.2% 0.052192982
97 Not answered 15 0.7% 0.006578947
98 Not asked 9235 NA


r31_ce2orx_2


Variable label: Assessment of Norwegians’ views on [r31_ce2orx_2_ran].
Literal question:

What is your assessment of Norwegians’ views on this?

[r31_ce2orx_2_ran].
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 5)]

[Displayed in random order with [r31_ce2orx_1], [r31_ce2orx_3], [r31_ce2orx_4].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Almost everyone agrees (85% or more agree) 33 1.4% 0.014473684
2 Most people agree (Between 70% and 85% agree) 153 6.7% 0.067105263
3 They lean towards agree (Between 55% and 70% agree) 340 14.9% 0.149122807
4 The population is divided (Between 45% and 55% agree) 733 32.1% 0.321491228
5 They lean towards disagree (Between 30% and 45% agree) 521 22.9% 0.228508772
6 Most people disagree (Between 15% and 30% agree) 365 16.0% 0.160087719
7 Almost everyone disagrees (15% or less agree) 119 5.2% 0.052192982
97 Not answered 16 0.7% 0.007017544
98 Not asked 9235 NA


r31_ce2orx_3


Variable label: Assessment of Norwegians’ views: More wind power should be developed [r31_ce2orx_3_ran] in Norway.
Literal question:

What is your assessment of Norwegians’ views on this?

More [r31_ce2orx_3_ran] wind power should be developed in Norway.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 5)]

[Displayed in random order with [r31_ce2orx_1], [r31_ce2orx_2], [r31_ce2orx_4].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Almost everyone agrees (85% or more agree) 32 1.4% 0.014035088
2 Most people agree (Between 70% and 85% agree) 114 5.0% 0.050000000
3 They lean towards agree (Between 55% and 70% agree) 316 13.9% 0.138596491
4 The population is divided (Between 45% and 55% agree) 621 27.2% 0.272368421
5 They lean towards disagree (Between 30% and 45% agree) 561 24.6% 0.246052632
6 Most people disagree (Between 15% and 30% agree) 458 20.1% 0.200877193
7 Almost everyone disagrees (15% or less agree) 163 7.1% 0.071491228
97 Not answered 15 0.7% 0.006578947
98 Not asked 9235 NA


r31_ce2orx_4


Variable label: Assessment of Norwegians’ views: It should [r31_ce2orx_4_ran].
Literal question:

What is your assessment of Norwegians’ views on this?

[r31_ce2orx_4_ran].
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 5)]

[Displayed in random order with [r31_ce2orx_1], [r31_ce2orx_2], [r31_ce2orx_3].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Almost everyone agrees (85% or more agree) 118 5.2% 0.051754386
2 Most people agree (Between 70% and 85% agree) 451 19.8% 0.197807018
3 They lean towards agree (Between 55% and 70% agree) 673 29.5% 0.295175439
4 The population is divided (Between 45% and 55% agree) 623 27.3% 0.273245614
5 They lean towards disagree (Between 30% and 45% agree) 242 10.6% 0.106140351
6 Most people disagree (Between 15% and 30% agree) 125 5.5% 0.054824561
7 Almost everyone disagrees (15% or less agree) 32 1.4% 0.014035088
97 Not answered 16 0.7% 0.007017544
98 Not asked 9235 NA


r31_ce2orx_order


Variable label: Shows the order in which [r31_ce2orx_1], [r31_ce2orx_2], [r31_ce2orx_3] og[r31_ce2orx_4] were displayed.
Field period: 04.11.2024 - 25.11.2024
Technical attributes: [Question type:Open] [Format:character] [Valid:2274] [Invalid:9241] [Range:-]



r31_dv2orx


Variable label: Assessment of Norwegians’ views on: Some people suggest that canteens [r31_dv2orx_ran].
Literal question:

Some people propose that canteens [r31_dv2orx_ran].

What is your assessment of Norwegians’ views on this?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Almost everyone agrees (85% or more agree) 17 0.7% 0.007456140
2 Most people agree (Between 70% and 85% agree) 66 2.9% 0.028947368
3 They lean towards agree (Between 55% and 70% agree) 167 7.3% 0.073245614
4 The population is divided (Between 45% and 55% agree) 360 15.8% 0.157894737
5 They lean towards disagree (Between 30% and 45% agree) 484 21.2% 0.212280702
6 Most people disagree (Between 15% and 30% agree) 737 32.3% 0.323245614
7 Almost everyone disagrees (15% or less agree) 428 18.8% 0.187719298
97 Not answered 21 0.9% 0.009210526
98 Not asked 9235 NA


r31_cpidp


Variable label: Feel more like a rural or urban person
Literal question: If you were to place yourself on the scale below, what do you feel most like:
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 0 - Very strongly as a rural person 76 3.3% 0.033333333
1 1 73 3.2% 0.032017544
2 2 118 5.2% 0.051754386
3 3 159 7.0% 0.069736842
4 4 187 8.2% 0.082017544
5 5 - As much a rural person as an urban person 584 25.6% 0.256140351
6 6 204 8.9% 0.089473684
7 7 285 12.5% 0.125000000
8 8 293 12.9% 0.128508772
9 9 136 6.0% 0.059649123
10 10 - Very strongly as an urban person 147 6.4% 0.064473684
97 Not answered 18 0.8% 0.007894737
98 Not asked 9235 NA


r31_cprre


Variable label: Agree/Disagree: Politicians don’t pay enough attention to people living outside big cities when designing policies.
Literal question:

How much do you agree or disagree with the following statement:

Politicians don’t pay enough attention to people living outside big cities when designing policies.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 277 12.1% 0.12149123
2 Agree 443 19.4% 0.19429825
3 Somewhat agree 619 27.1% 0.27149123
4 Neither agree nor disagree 317 13.9% 0.13903509
5 Somewhat disagree 274 12.0% 0.12017544
6 Disagree 242 10.6% 0.10614035
7 Strongly disagree 84 3.7% 0.03684211
97 Not answered 24 1.1% 0.01052632
98 Not asked 9235 NA


r31_dvfhcx_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dvfhcx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2263] [Invalid:9252] [Range:1-3]

Value Label Cases Percentage
1 who live in Norway 761 33.6% 0.3362793
2 who live in Norway, including immigrants 742 32.8% 0.3278833
3 immigrants who live in Norway 760 33.6% 0.3358374
Sysmiss 9252 NA


r31_dvfhcx


Variable label: Agree/Disagree: Health care should be free for all [r31_dvfhcx_ran]
Literal question: To what extent do you agree or disagree with the following statement: Healthcare should be free for all [r31_dvfhcx_ran], even if that means the government has to increase taxes for most working families.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 246 10.8% 0.10789474
2 Agree 549 24.1% 0.24078947
3 Somewhat agree 491 21.5% 0.21535088
4 Neither agree nor disagree 220 9.6% 0.09649123
5 Somewhat disagree 331 14.5% 0.14517544
6 Disagree 255 11.2% 0.11184211
7 Strongly disagree 160 7.0% 0.07017544
97 Not answered 28 1.2% 0.01228070
98 Not asked 9235 NA


r31_dvfacx_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dvfacx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2263] [Invalid:9252] [Range:1-3]

Value Label Cases Percentage
1 families with primary school children who live in Norway 775 34.2% 0.3424658
2 families with primary school children who live in Norway, including immigrants 752 33.2% 0.3323023
3 immigrant families with primary school children who live in Norway 736 32.5% 0.3252320
Sysmiss 9252 NA


r31_dvfacx


Variable label: Agree/Disagree: After-school childcare (SFO) should be free for all [r31_dvfacx_ran]
Literal question:

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

After-school childcare should be available and free for all [r31_dvfacx_ran], even if that means the government has to increase taxes for most working families.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 198 8.7% 0.08684211
2 Agree 459 20.1% 0.20131579
3 Somewhat agree 487 21.4% 0.21359649
4 Neither agree nor disagree 278 12.2% 0.12192982
5 Somewhat disagree 380 16.7% 0.16666667
6 Disagree 263 11.5% 0.11535088
7 Strongly disagree 185 8.1% 0.08114035
97 Not answered 30 1.3% 0.01315789
98 Not asked 9235 NA


r31_dvbuix_ran1


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dvbuix].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2262] [Invalid:9253] [Range:1-2]

Value Label Cases Percentage
1 The Church of Norway 1121 49.6% 0.4955791
2 A local government in Norway 1141 50.4% 0.5044209
Sysmiss 9253 NA


r31_dvbuix_pipe1


Variable label: Experiment. Selects an element for textpiping in [r31_dvbuix] based on [r31_dvbuix_ran1].
Field period: 04.11.2024 - 25.11.2024
Technical description: [If [r31_dvbuix_ran1] = 1 the value is set to 1. If [r31_dvbuix_ran1] = 2 the value is set to 2.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2262] [Invalid:9253] [Range:1-2]

Value Label Cases Percentage
1 a centrally located church 1121 49.6% 0.4955791
2 a centrally located public building 1141 50.4% 0.5044209
Sysmiss 9253 NA


r31_dvbuix_ran2


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dvbuix].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2262] [Invalid:9253] [Range:1-3]

Value Label Cases Percentage
1 a hotel run by a multinational commercial company 732 32.4% 0.3236074
2 a mosque 771 34.1% 0.3408488
3 a mosque funded by a foreign Muslim organization 759 33.6% 0.3355438
Sysmiss 9253 NA


r31_dvbuix


Variable label: Positive/negative towards the proposal for conversion of buildings
Literal question:

Imagine the following situation:

[r31_dvbuix_ran1] has been debating whether or not to sell some buildings. A proposal has now been made that involves [r31_dvbuix_pipe1] being sold and converted into [r31_dvbuix_ran2].

How positive or negative are you to this proposal?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 56 2.5% 0.02456140
2 Positive 198 8.7% 0.08684211
3 Somewhat positive 198 8.7% 0.08684211
4 Neither positive nor negative 547 24.0% 0.23991228
5 Somewhat negative 321 14.1% 0.14078947
6 Negative 430 18.9% 0.18859649
7 Very negative 507 22.2% 0.22236842
97 Not answered 23 1.0% 0.01008772
98 Not asked 9235 NA


r31_dmfspx_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dmfspx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2262] [Invalid:9253] [Range:1-3]

Value Label Cases Percentage
1 racist the 781 34.5% 0.3452697
2 conservative the Islamic 729 32.2% 0.3222812
3 conservative the Christian 752 33.2% 0.3324492
Sysmiss 9253 NA


r31_dmfspx


Variable label: Agree/Disagree: Freedom of speech should apply for everyone no matter how [r31_dmpfspx_ran] ideas they express are.
Literal question:

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

Freedom of speech should apply for everyone no matter how [r31_dmpfspx_ran] ideas they express are.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 351 15.4% 0.15394737
2 Agree 584 25.6% 0.25614035
3 Somewhat agree 324 14.2% 0.14210526
4 Neither agree nor disagree 144 6.3% 0.06315789
5 Somewhat disagree 386 16.9% 0.16929825
6 Disagree 290 12.7% 0.12719298
7 Strongly disagree 173 7.6% 0.07587719
97 Not answered 28 1.2% 0.01228070
98 Not asked 9235 NA


r31_dvedix_ran1


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dvedix].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2261] [Invalid:9254] [Range:1-2]

Value Label Cases Percentage
1 allow 1136 50.2% 0.5024326
2 publicly fund 1125 49.8% 0.4975674
Sysmiss 9254 NA


r31_dvedix_ran2


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dvedix].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2261] [Invalid:9254] [Range:1-2]

Value Label Cases Percentage
1 established domestic institutions of higher education that currently train Christian priests 1158 51.2% 0.5121628
2 domestic institutes run by Muslim organizations 1103 48.8% 0.4878372
Sysmiss 9254 NA


r31_dvedix_ran3


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dvedix].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2261] [Invalid:9254] [Range:1-2]

Value Label Cases Percentage
1 BLANK 1164 51.5% 0.5148165
2 so that Muslims in Norway do not have to get this training from abroad (in a country where Islam is the largest religion) 1097 48.5% 0.4851835
Sysmiss 9254 NA


r31_dvedix


Variable label: Agree/Disagree: Education for imams (Muslim clerics)
Literal question:

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

Norway should [r31_dvedix_ran1] training for imams at [r31_dvedix_ran2] [r31_dvedix_ran3].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 90 3.9% 0.03947368
2 Agree 312 13.7% 0.13684211
3 Somewhat agree 369 16.2% 0.16184211
4 Neither agree nor disagree 433 19.0% 0.18991228
5 Somewhat disagree 207 9.1% 0.09078947
6 Disagree 354 15.5% 0.15526316
7 Strongly disagree 484 21.2% 0.21228070
97 Not answered 31 1.4% 0.01359649
98 Not asked 9235 NA


r31_eqweh


Variable label: Agree/Disagree: Women exaggerate claims of sexual harassment at work.
Literal question:

To what extent do you agree or disagree with the following statement?

Women exaggerate claims of sexual harassment at work.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 33 1.4% 0.01447368
2 Agree 82 3.6% 0.03596491
3 Somewhat agree 234 10.3% 0.10263158
4 Neither agree nor disagree 562 24.6% 0.24649123
5 Somewhat disagree 312 13.7% 0.13684211
6 Disagree 639 28.0% 0.28026316
7 Strongly disagree 391 17.1% 0.17149123
97 Not answered 27 1.2% 0.01184211
98 Not asked 9235 NA


r31_eqweox_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_eqweox].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2259] [Invalid:9256] [Range:1-3]

Value Label Cases Percentage
1 women 720 31.9% 0.3187251
2 men 771 34.1% 0.3413015
3 BLANK 768 34.0% 0.3399734
Sysmiss 9256 NA


r31_eqweox


Variable label: Agree/Disagree: Most [women/men/BLANK] in Norway believe that women exaggerate claims of sexual harassment at work?
Literal question: How much do you think most [r31_eqweox_ran] in Norway agree or disagree that women exaggerate claims of sexual harassment at work?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 34 1.5% 0.01491228
2 Agree 174 7.6% 0.07631579
3 Somewhat agree 506 22.2% 0.22192982
4 Neither agree nor disagree 580 25.4% 0.25438596
5 Somewhat disagree 384 16.8% 0.16842105
6 Disagree 424 18.6% 0.18596491
7 Strongly disagree 141 6.2% 0.06184211
97 Not answered 37 1.6% 0.01622807
98 Not asked 9235 NA


r31_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 gain residence in Norway?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 A lot easier 25 1.1% 0.01096491
2 Easier 145 6.4% 0.06359649
3 Somewhat easier 557 24.4% 0.24429825
4 Somewhat more difficult 724 31.8% 0.31754386
5 More difficult 464 20.4% 0.20350877
6 A lot more difficult 319 14.0% 0.13991228
97 Not answered 46 2.0% 0.02017544
98 Not asked 9235 NA


r31_dvneiox_pipe1


Variable label: Selects an element for textpiping in [r31_dvneiox], [r31_dvneioxe] and [r31_dvneioxf] based on [r31_dvnei].
Field period: 04.11.2024 - 25.11.2024
Technical description: [If [r31_dvnei] = 1, 2, 3 the value is set to 1. If [r31_dvnei] = 4, 5, 6 the value is set to 2.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2234] [Invalid:9281] [Range:1-2]

Value Label Cases Percentage
1 easier 727 32.5% 0.3254252
2 more difficult 1507 67.5% 0.6745748
Sysmiss 9281 NA


r31_dvneiox_pipe2


Variable label: Selects an element for textpiping in [r31_dvneiox], [r31_dvneioxe] and [r31_dvneioxf] based on [r31_dvnei].
Field period: 04.11.2024 - 25.11.2024
Technical description: [If [r31_dvnei] = 1, 2, 3 the value is set to 1. If [r31_dvnei] = 4, 5, 6 the value is set to 2.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2234] [Invalid:9281] [Range:1-2]

Value Label Cases Percentage
1 more difficult 727 32.5% 0.3254252
2 easier 1507 67.5% 0.6745748
Sysmiss 9281 NA


r31_dvneiox_pipe3


Variable label: Selects an element for textpiping in [r31_dvneiox], [r31_dvneioxe] and [r31_dvneioxf] based on [r31_dvnei].
Field period: 04.11.2024 - 25.11.2024
Technical description: [If [r31_dvnei] = 1, 2, 3 the value is set to 1. If [r31_dvnei] = 4, 5, 6 the value is set to 2.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2234] [Invalid:9281] [Range:1-2]

Value Label Cases Percentage
1 sceptical of 727 32.5% 0.3254252
2 positive towards 1507 67.5% 0.6745748
Sysmiss 9281 NA


r31_dvneiox_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dvneiox].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2256] [Invalid:9259] [Range:1-3]

Value Label Cases Percentage
1 We would like to know more about your thoughts on non-European immigration. What do you think is the best argument for making it [r31_dvneiox_pipe1] for non-European immigrants to gain residence in Norway? 765 33.9% 0.3390957
2 Some people think it should be [r31_dvneiox_pipe2] for immigrants to gain residence in Norway. Think of reasons in favor of this position, even if you do not support it yourself. If you had to mention one, what is the best argument for making it [r31_dvneiox_pipe2] for immigrants to gain residence in Norway? 742 32.9% 0.3289007
3 Some people think it should be [r31_dvneiox_pipe2] for non-European immigrants to gain residence in Norway. Try to take the perspective of someone who supports this position, even if you do not support it yourself. Think of someone you know who is [r31_dvneiox_pipe3] this type of immigration or imagine someone with this view. What do you think this person believes is the best argument for making it [r31_dvneiox_pipe2] for non-European immigrants to gain residence in Norway? 749 33.2% 0.3320035
Sysmiss 9259 NA


r31_dvneiox


Variable label: What is the best argument
Literal question: [r31_dvneiox_ran]
Post-question: Your answer can be either short or long. Preferably a couple of sentences, or just a few words if you prefer.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_dvnei is answered) & (r31_group = 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:11515] [Range:-]



r31_dvneioxe_1


Variable label: To what extent do you feel that those who are [r31_dvneioxe_pipe3] non-European immigration respect this argument?
Literal question: To what extent do you feel that those who are [r31_dvneioxe_pipe3] non-European immigration respect this argument?
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_dvnei is answered & r31_dvneiox_ran = 1) & (r31_group = 5)]

[Displayed on the same page as [r31_dvneiox]. Timetracker-variable refers therefore to [r31_dvneiox].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great extent 15 2.0% 0.01960784
2 To a great extent 64 8.4% 0.08366013
3 To some extent 260 34.0% 0.33986928
4 To a small extent 274 35.8% 0.35816993
5 Not at all 81 10.6% 0.10588235
97 Not answered 71 9.3% 0.09281046
98 Not asked 10750 NA


r31_dvneioxe_2


Variable label: Do you think this is a good or bad argument for making it [r31_dvneioxe_pipe2] for non-European immigrants to gain residence in Norway?
Literal question: Do you think this is a good or bad argument for making it [r31_dvneioxe_pipe2] for non-European immigrants to gain residence in Norway?
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_dvnei is answered & r31_dvneiox_ran = 2, 3) & (r31_group = 5)]

[Displayed on the same page as [r31_dvneiox]. Timetracker-variable refers therefore to [r31_dvneiox].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 64 4.3% 0.04292421
2 Good 219 14.7% 0.14688129
3 Somewhat good 275 18.4% 0.18443997
4 Neither good nor bad 287 19.2% 0.19248826
5 Somewhat bad 151 10.1% 0.10127431
6 Bad 204 13.7% 0.13682093
7 Very bad 117 7.8% 0.07847082
97 Not answered 174 11.7% 0.11670020
98 Not asked 10024 NA


r31_ceagcx_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_ceagcx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2240] [Invalid:9275] [Range:1-2]

Value Label Cases Percentage
1 taxing CO2 1104 49.3% 0.4928571
2 reforming agriculture 1136 50.7% 0.5071429
Sysmiss 9275 NA


r31_ceagcx


Variable label: Positive/negative towards measures that can reduce greenhouse gas emissions
Literal question:

The negative effects of greenhouse gases on the environment and climate have been widely discussed in the public debate. One measure that can reduce such emissions is [r31_ceagcx_ran].

How positive or negative are you about this measure?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-11]

Value Label Cases Percentage
1 0 - Very negative 174 7.6% 0.07631579
2 1 77 3.4% 0.03377193
3 2 100 4.4% 0.04385965
4 3 138 6.1% 0.06052632
5 4 107 4.7% 0.04692982
6 5 - Neutral 560 24.6% 0.24561404
7 6 253 11.1% 0.11096491
8 7 265 11.6% 0.11622807
9 8 285 12.5% 0.12500000
10 9 97 4.3% 0.04254386
11 10 - Very positive 171 7.5% 0.07500000
97 Not answered 53 2.3% 0.02324561
98 Not asked 9235 NA


r31_ce1orx_1_ran


Variable label: Experiment. Selects an element for textpiping in [r31_ce1orx_1] based on [r31_ce2orx_1_ran].
Field period: 04.11.2024 - 25.11.2024
Technical description:

[If [r31_ce2orx_1_ran] = 1 the value is set to 1. If [r31_ce2orx_1_ran] = 2 the value is set to 2.

Displayed in the same random order as [r31_ce2orx_1] - [r31_ce2orx_4].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2234] [Invalid:9281] [Range:1-2]

Value Label Cases Percentage
1 it should be cheaper to travel by public transport 1137 50.9% 0.5089526
2 fossil fuels (gasoline/diesel) should become more expensive 1097 49.1% 0.4910474
Sysmiss 9281 NA


r31_ce1orx_2_ran


Variable label: Experiment. Selects an element for textpiping in [r31_ce1orx_2] based on [r31_ce2orx_2_ran].
Field period: 04.11.2024 - 25.11.2024
Technical description:

[If [r31_ce2orx_2_ran] = 1 the value is set to 1. If [r31_ce2orx_2_ran] = 2 the value is set to 2.

Displayed in the same random order as [r31_ce2orx_1] - [r31_ce2orx_4].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2234] [Invalid:9281] [Range:1-2]

Value Label Cases Percentage
1 food with a high climate footprint should be more expensive, while food with a low climate footprint should be cheaper 1094 49.0% 0.4897046
2 red meat should be more expensive, while plant-based food should be cheaper 1140 51.0% 0.5102954
Sysmiss 9281 NA


r31_ce1orx_3_ran


Variable label: Experiment. Selects an element for textpiping in [r31_ce1orx_3] based on [r31_ce2orx_3_ran].
Field period: 04.11.2024 - 25.11.2024
Technical description:

[If [r31_ce2orx_3_ran] = 1 the value is set to 1. If [r31_ce2orx_3_ran] = 2 the value is set to 2.

Displayed in the same random order as [r31_ce2orx_1] - [r31_ce2orx_4].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2234] [Invalid:9281] [Range:1-2]

Value Label Cases Percentage
1 offshore 1042 46.6% 0.4664279
2 onshore 1192 53.4% 0.5335721
Sysmiss 9281 NA


r31_ce1orx_4_ran


Variable label: Experiment. Selects an element for textpiping in [r31_ce1orx_4] based on [r31_ce2orx_4_ran].
Field period: 04.11.2024 - 25.11.2024
Technical description:

[If [r31_ce2orx_4_ran] = 1 the value is set to 1. If [r31_ce2orx_4_ran] = 2 the value is set to 2.

Displayed in the same random order as [r31_ce2orx_1] - [r31_ce2orx_4].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2234] [Invalid:9281] [Range:1-2]

Value Label Cases Percentage
1 solar panels should be installed on houses 1127 50.4% 0.5044763
2 solar power plants should be built 1107 49.6% 0.4955237
Sysmiss 9281 NA


r31_dv1orx_ran


Variable label: Experiment. Selects an element for textpiping in [r31_dv1orx] based on [r31_dv2orx_ran].
Field period: 04.11.2024 - 25.11.2024
Technical description: [If [r31_dv2orx_ran] = 1 the value is set to 1. If [r31_dv2orx_ran] = 2 the value is set to 2. If [r31_dv2orx_ran] = 3 the value is set to 3. If [r31_dv2orx_ran] = 4 the value is set to 4.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2234] [Invalid:9281] [Range:1-4]

Value Label Cases Percentage
1 no longer serve meals with meat to slow down climate change 539 24.1% 0.2412713
2 add meals without meat to slow down climate change 564 25.2% 0.2524620
3 no longer serve meals with pork to be considerate of Muslim religious rules 550 24.6% 0.2461952
4 add meals without pork to be considerate of Muslim religious rules 581 26.0% 0.2600716
Sysmiss 9281 NA


r31_ce1orx_1


Variable label: Agree/Disagree: [r31_ce1orx_1_ran]
Literal question: To what extent do you agree or disagree that [r31_ce1orx_1_ran]?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 597 26.2% 0.26184211
2 Agree 512 22.5% 0.22456140
3 Somewhat agree 320 14.0% 0.14035088
4 Neither agree nor disagree 190 8.3% 0.08333333
5 Somewhat disagree 204 8.9% 0.08947368
6 Disagree 202 8.9% 0.08859649
7 Strongly disagree 196 8.6% 0.08596491
97 Not answered 59 2.6% 0.02587719
98 Not asked 9235 NA


r31_ce1orx_2


Variable label: Agree/Disagree: [r31_ce1orx_2_ran]
Literal question: To what extent do you agree or disagree that [r31_ce1orx_2_ran]?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 185 8.1% 0.08114035
2 Agree 384 16.8% 0.16842105
3 Somewhat agree 480 21.1% 0.21052632
4 Neither agree nor disagree 334 14.6% 0.14649123
5 Somewhat disagree 278 12.2% 0.12192982
6 Disagree 299 13.1% 0.13114035
7 Strongly disagree 262 11.5% 0.11491228
97 Not answered 58 2.5% 0.02543860
98 Not asked 9235 NA


r31_ce1orx_3


Variable label: Agree/Disagree: more wind power should be developed [r31_ce1orx_3_ran] in Norway
Literal question: To what extent do you agree or disagree that more [r31_ce1orx_3_ran] wind power should be developed in Norway?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 171 7.5% 0.07500000
2 Agree 380 16.7% 0.16666667
3 Somewhat agree 481 21.1% 0.21096491
4 Neither agree nor disagree 240 10.5% 0.10526316
5 Somewhat disagree 262 11.5% 0.11491228
6 Disagree 322 14.1% 0.14122807
7 Strongly disagree 364 16.0% 0.15964912
97 Not answered 60 2.6% 0.02631579
98 Not asked 9235 NA


r31_ce1orx_4


Variable label: Agree/Disagree: it should [r31_ce1orx_4_ran]
Literal question: To what extent do you agree or disagree that more [r31_ce1orx_4_ran]?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 391 17.1% 0.17149123
2 Agree 699 30.7% 0.30657895
3 Somewhat agree 538 23.6% 0.23596491
4 Neither agree nor disagree 288 12.6% 0.12631579
5 Somewhat disagree 124 5.4% 0.05438596
6 Disagree 108 4.7% 0.04736842
7 Strongly disagree 62 2.7% 0.02719298
97 Not answered 70 3.1% 0.03070175
98 Not asked 9235 NA


r31_ce1orx_order


Variable label: Shows the order in which [r31_ce1orx_1], [r31_ce1orx_2], [r31_ce1orx_3] and [r31_ce1orx_4] was displayed.
Field period: 04.11.2024 - 25.11.2024
Technical attributes: [Question type:Open] [Format:character] [Valid:2232] [Invalid:9283] [Range:-]



r31_dv1orx


Variable label: Agree/Disagree: Some people suggest that canteens [r31_dv1orx_ran].
Literal question:

Some people propose that canteens [r31_dv1orx_ran].

To what extent do you agree or disagree with this?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Agree strongly 274 12.0% 0.12017544
2 Agree somewhat 450 19.7% 0.19736842
3 Disagree somewhat 533 23.4% 0.23377193
4 Disagree strongly 963 42.2% 0.42236842
97 Not answered 60 2.6% 0.02631579
98 Not asked 9235 NA


r31_dvlcox_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dvlcox].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2229] [Invalid:9286] [Range:1-4]

Value Label Cases Percentage
1 imams (Muslims priests) 553 24.8% 0.2480933
2 Christian priests 569 25.5% 0.2552714
3 Muslim politicians 547 24.5% 0.2454015
4 politicians 560 25.1% 0.2512337
Sysmiss 9286 NA


r31_dvlcox


Variable label: Placement on scale: serving the residents of local communities
Literal question:

Please place yourself on the scale below where:

0 means that most [r31_dvlcox_ran] in Norway know enough to serve their communities well. And 10 means that most [r31_dvlcox_ran] in Norway need to learn more about what life is like for the members of their communities.
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 0 - Know enough 94 4.1% 0.04122807
1 1 78 3.4% 0.03421053
2 2 165 7.2% 0.07236842
3 3 170 7.5% 0.07456140
4 4 96 4.2% 0.04210526
5 5 481 21.1% 0.21096491
6 6 200 8.8% 0.08771930
7 7 255 11.2% 0.11184211
8 8 262 11.5% 0.11491228
9 9 97 4.3% 0.04254386
10 10 - Learn more 290 12.7% 0.12719298
97 Not answered 92 4.0% 0.04035088
98 Not asked 9235 NA


r31_dveidx_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dveidx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2229] [Invalid:9286] [Range:1-4]

Value Label Cases Percentage
1 all Muslims get the day off to celebrate Eid al-Fitr (the festival of breaking the fast) as long as they compensate with overtime 556 24.9% 0.2494392
2 all people in the municipality get an extra day off when Muslims celebrate Eid al-Fitr (the festival of breaking the fast) 555 24.9% 0.2489906
3 all people in the municipality get the day off when Muslims celebrate Eid al-Fitr (the festival of breaking the fast). The holiday will replace one of the Christian holidays 580 26.0% 0.2602064
4 all people in the municipality get the day off when Muslims celebrate Eid al-Fitr (the festival of breaking the fast). The holiday will replace an existing public holiday 538 24.1% 0.2413638
Sysmiss 9286 NA


r31_dveidx


Variable label: Positive/negative towards the proposal for local reform of public holidays
Literal question:

Imagine the following situation:

A city government in Norway discusses a possible reform to public holidays locally. According to one proposal [r31_dveidx_ran].

How positive or negative are you to this proposal?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 113 5.0% 0.04956140
2 Positive 253 11.1% 0.11096491
3 Somewhat positive 200 8.8% 0.08771930
4 Neither positive nor negative 378 16.6% 0.16578947
5 Somewhat negative 248 10.9% 0.10877193
6 Negative 473 20.7% 0.20745614
7 Very negative 556 24.4% 0.24385965
97 Not answered 59 2.6% 0.02587719
98 Not asked 9235 NA


r31_dvaevx_ran1


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dvaevx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2228] [Invalid:9287] [Range:1-3]

Value Label Cases Percentage
1 group from The Progress Party 729 32.7% 0.3271993
2 group from The Conservative Party 764 34.3% 0.3429084
3 anti-Islamic group 735 33.0% 0.3298923
Sysmiss 9287 NA


r31_dvaevx_ran2


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dvaevx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2228] [Invalid:9287] [Range:1-2]

Value Label Cases Percentage
1 Norwegian culture 1130 50.7% 0.5071813
2 gay rights in Norway 1098 49.3% 0.4928187
Sysmiss 9287 NA


r31_dvaevx_ran3


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dvaevx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2228] [Invalid:9287] [Range:1-2]

Value Label Cases Percentage
1 husband 1089 48.9% 0.4887792
2 wife 1139 51.1% 0.5112208
Sysmiss 9287 NA


r31_dvaevx_ran4


Variable label: Experiment. Randomly selects an element for textpiping in [r31_dvaevx].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2228] [Invalid:9287] [Range:1-2]

Value Label Cases Percentage
1 male 1073 48.2% 0.4815978
2 female 1155 51.8% 0.5184022
Sysmiss 9287 NA


r31_dvaevx_pipe1


Variable label: Selects an element for textpiping in [r31_dvaevx] based on [r31_dvaevx_ran1].
Field period: 04.11.2024 - 25.11.2024
Technical description: [If [r31_dvaevx_ran1] = 1 the value is set to 1. If [r31_dvaevx_ran1] = 2 the value is set to 2. If [r31_dvaevx_ran1] = 3 the value is set to 3.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2228] [Invalid:9287] [Range:1-3]

Value Label Cases Percentage
1 group from The Progress Party 729 32.7% 0.3271993
2 group from The Conservative Party 764 34.3% 0.3429084
3 anti-Islamic group 735 33.0% 0.3298923
Sysmiss 9287 NA


r31_dvaevx_1


Variable label: Agree/Disagree: A local group should be allowed to hold an event
Literal question: Consider that the [r31_dvaevx_ran4] leader of a local [r31_dvaevx_ran1] has asked to hold a public event to criticize Islam as a threat to [r31_dvaevx_ran2]. The [r31_dvaevx_ran4] leader, who lives in the local area with their [r31_dvaevx_ran3] said: “Islam is one of the biggest threats to [r31_dvaevx_ran2] today, and this is why we are talking about this”. How much do you agree or disagree that the local [r31_dvaevx_pipe1] should be allowed to hold the event?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 388 17.0% 0.17017544
2 Agree 546 23.9% 0.23947368
3 Somewhat agree 331 14.5% 0.14517544
4 Neither agree nor disagree 345 15.1% 0.15131579
5 Somewhat disagree 235 10.3% 0.10307018
6 Disagree 235 10.3% 0.10307018
7 Strongly disagree 133 5.8% 0.05833333
97 Not answered 67 2.9% 0.02938596
98 Not asked 9235 NA


r31_dvaevx_2


Variable label: Agree/Disagree with the message to be promoted at the event?
Literal question: How much do you agree or disagree with the message that will be promoted at the event?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 120 5.3% 0.05263158
2 Agree 223 9.8% 0.09780702
3 Somewhat agree 389 17.1% 0.17061404
4 Neither agree nor disagree 398 17.5% 0.17456140
5 Somewhat disagree 276 12.1% 0.12105263
6 Disagree 453 19.9% 0.19868421
7 Strongly disagree 348 15.3% 0.15263158
97 Not answered 73 3.2% 0.03201754
98 Not asked 9235 NA


r31_dvaevx_3


Variable label: Based on the information you have about the local group wanting to hold the event, how much would you say you like or dislike it?
Literal question: Based on the information you have about the local group that wants to hold the event, how much would you say you like or dislike it?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely like 41 1.8% 0.01798246
2 Really like 70 3.1% 0.03070175
3 Like somewhat 185 8.1% 0.08114035
4 Neither like nor dislike 759 33.3% 0.33289474
5 Dislike somewhat 498 21.8% 0.21842105
6 Really dislike 441 19.3% 0.19342105
7 Intensely dislike 211 9.3% 0.09254386
97 Not answered 75 3.3% 0.03289474
98 Not asked 9235 NA


r31_dvaevx_4


Variable label: Acceptable/unacceptable: someone says something negative about Muslims in Norwegian society today?
Literal question: How acceptable or unacceptable do you think it is that someone says something negative about Muslims in Norwegian society today?
Field period: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Highly acceptable 135 5.9% 0.05921053
2 Acceptable 405 17.8% 0.17763158
3 Somewhat acceptable 456 20.0% 0.20000000
4 Neither acceptable nor unacceptable 364 16.0% 0.15964912
5 Somewhat unacceptable 418 18.3% 0.18333333
6 Unacceptable 353 15.5% 0.15482456
7 Highly unacceptable 83 3.6% 0.03640351
97 Not answered 66 2.9% 0.02894737
98 Not asked 9235 NA


r31_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: 04.11.2024 - 25.11.2024
Technical description: [Asked if (r31_group = 5)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 0 - Not at all religious 744 32.6% 0.32631579
1 1 254 11.1% 0.11140351
2 2 215 9.4% 0.09429825
3 3 192 8.4% 0.08421053
4 4 112 4.9% 0.04912281
5 5 231 10.1% 0.10131579
6 6 149 6.5% 0.06535088
7 7 131 5.7% 0.05745614
8 8 106 4.6% 0.04649123
9 9 51 2.2% 0.02236842
10 10 - Very religious 35 1.5% 0.01535088
97 Not answered 60 2.6% 0.02631579
98 Not asked 9235 NA


r31_innor


Variable label: Agree/Disagree: The world would be a better place if people from other countries were more like Norwegians.
Literal question:

To what extent you agree or disagree with the following statement:

The world would be a better place if people from other countries were more like Norwegians.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 5)]

[Displayed in random order with [r31_innob], [r31_innof].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 76 3.3% 0.03333333
2 Agree 215 9.4% 0.09429825
3 Somewhat agree 435 19.1% 0.19078947
4 Neither agree nor disagree 691 30.3% 0.30307018
5 Somewhat disagree 289 12.7% 0.12675439
6 Disagree 370 16.2% 0.16228070
7 Strongly disagree 130 5.7% 0.05701754
97 Not answered 74 3.2% 0.03245614
98 Not asked 9235 NA


r31_innob


Variable label: Agree/Disagree: Generally speaking, Norway is a better country than most other countries.
Literal question:

To what extent you agree or disagree with the following statement:

Generally speaking, Norway is a better country than most other countries.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 5)]

[Displayed in random order with [r31_innor], [r31_innof].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 289 12.7% 0.12675439
2 Agree 529 23.2% 0.23201754
3 Somewhat agree 632 27.7% 0.27719298
4 Neither agree nor disagree 313 13.7% 0.13728070
5 Somewhat disagree 198 8.7% 0.08684211
6 Disagree 194 8.5% 0.08508772
7 Strongly disagree 53 2.3% 0.02324561
97 Not answered 72 3.2% 0.03157895
98 Not asked 9235 NA


r31_innof


Variable label: Agree/Disagree: The world would be a better place if Norwegians acknowledged Norway’s shortcomings.
Literal question:

To what extent you agree or disagree with the following statement:

The world would be a better place if Norwegians acknowledged Norway’s shortcomings.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 5)]

[Displayed in random order with [r31_innor], [r31_innob].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 89 3.9% 0.03903509
2 Agree 266 11.7% 0.11666667
3 Somewhat agree 462 20.3% 0.20263158
4 Neither agree nor disagree 859 37.7% 0.37675439
5 Somewhat disagree 185 8.1% 0.08114035
6 Disagree 259 11.4% 0.11359649
7 Strongly disagree 78 3.4% 0.03421053
97 Not answered 82 3.6% 0.03596491
98 Not asked 9235 NA


r31_dvupm


Variable label: Describes yourself how well: It is important to me personally to be unprejudiced towards Muslims.
Literal question:

How well or poorly would you say that the following description fits you:

It is important to me personally to be unprejudiced towards Muslims.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 5)]

[Displayed in random order with [r31_dvapr].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very well 282 12.4% 0.12368421
2 Well 764 33.5% 0.33508772
3 Somewhat well 484 21.2% 0.21228070
4 Neither well nor poorly 438 19.2% 0.19210526
5 Somewhat poorly 144 6.3% 0.06315789
6 Poorly 56 2.5% 0.02456140
7 Very Poorly 39 1.7% 0.01710526
97 Not answered 73 3.2% 0.03201754
98 Not asked 9235 NA


r31_dvapr


Variable label: Describes yourself how well: I would not like to appear to be racist, not even to myself.
Literal question:

How well or poorly would you say that the following description fits you:

I would not like to appear to be racist, not even to myself.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 5)]

[Displayed in random order with [r31_dvupm].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very well 521 22.9% 0.228508772
2 Well 844 37.0% 0.370175439
3 Somewhat well 318 13.9% 0.139473684
4 Neither well nor poorly 359 15.7% 0.157456140
5 Somewhat poorly 104 4.6% 0.045614035
6 Poorly 42 1.8% 0.018421053
7 Very Poorly 22 1.0% 0.009649123
97 Not answered 70 3.1% 0.030701754
98 Not asked 9235 NA


r31_poelex_religion1


Variable label: Experiment. Randomly selects religion for candidate A in [r31_poelex].
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Randomized if (r31_group = 1) | (r31_group = 2) | (r31_group = 3) | (r31_group = 4)]

[80% of data withheld.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_poelex_religion2


Variable label: Experiment. Randomly selects religion for candidate B in [r31_poelex].
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Randomized if (r31_group = 1) | (r31_group = 2) | (r31_group = 3) | (r31_group = 4)]

[80% of data withheld.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_poelex_innvandring1


Variable label: Experiment. Randomly selects immigration status for candidate A in [r31_poelex].
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Randomized if (r31_group = 1) | (r31_group = 2) | (r31_group = 3) | (r31_group = 4)]

[80% of data withheld.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_poelex_innvandring2


Variable label: Experiment. Randomly selects immigration status for candidate B in [r31_poelex].
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Randomized if (r31_group = 1) | (r31_group = 2) | (r31_group = 3) | (r31_group = 4)]

[80% of data withheld.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_poelex_alder1


Variable label: Experiment. Randomly selects age for candidate A in [r31_poelex].
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Randomized if (r31_group = 1) | (r31_group = 2) | (r31_group = 3) | (r31_group = 4)]

[80% of data withheld.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_poelex_alder2


Variable label: Experiment. Randomly selects age for candidate B in [r31_poelex].
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Randomized if (r31_group = 1) | (r31_group = 2) | (r31_group = 3) | (r31_group = 4)]

[80% of data withheld.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_poelex_utd1


Variable label: Experiment. Randomly selects education level for candidate A in [r31_poelex].
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Randomized if (r31_group = 1) | (r31_group = 2) | (r31_group = 3) | (r31_group = 4)]

[80% of data withheld.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_poelex_utd2


Variable label: Experiment. Randomly selects education level for candidate B in [r31_poelex].
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Randomized if (r31_group = 1) | (r31_group = 2) | (r31_group = 3) | (r31_group = 4)]

[80% of data withheld.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_poelex_gender1


Variable label: Experiment. Randomly selects gender for candidate A in [r31_poelex].
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Randomized if (r31_group = 1) | (r31_group = 2) | (r31_group = 3) | (r31_group = 4)]

[80% of data withheld.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_poelex_gender2


Variable label: Experiment. Randomly selects gender for candidate B in [r31_poelex].
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Randomized if (r31_group = 1) | (r31_group = 2) | (r31_group = 3) | (r31_group = 4)]

[80% of data withheld.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_poelex_polerfaring1


Variable label: Experiment. Randomly selects political experience for candidate A in [r31_poelex].
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Randomized if (r31_group = 1) | (r31_group = 2) | (r31_group = 3) | (r31_group = 4)]

[80% of data withheld.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_poelex_polerfaring2


Variable label: Experiment. Randomly selects political experience for candidate B in [r31_poelex].
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Randomized if (r31_group = 1) | (r31_group = 2) | (r31_group = 3) | (r31_group = 4)]

[80% of data withheld.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_poelex_rerandomize


Variable label: Experiment. Technical details on re-randomisation of [r31_poelex]-variables if it was necessary.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[If there was a necessity to re-randomise information for one of the candidates in [r30_poelex], the information is stored here.]

[80% of data withheld.]
Technical attributes: [Question type:Open] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_poelex_roworder


Variable label: Experiment. The random order of attributes shown in the table in [r31_poelex]. Sets the subject’s rowwise placement, sorted by subject.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[If the first number is 2, it means that subject 1 (“religion”) was displayed in row number 2. If the second number is 4, it means that subject 1 (“immigration status”) was displayed in row number 4, etc.. For the sequential order, sorted by rownumber, see [r30_poelex_roworder_seq]. 1 = Religion. 2 = immigration status. 3 = Age. 4 = Education level. 5 = Gender. 6 = Political experience.]

[80% of data withheld.]
Technical attributes: [Question type:Open] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_poelex_roworder_seq


Variable label: Experiment. The random order of attributes shown in the table in [r31_poelex]. Set sequentially, sorted by rownumber.
Field period: 04.11.2024 - 25.11.2024
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 = Religion. 2 = immigration status. 3 = Age. 4 = Education level. 5 = Gender. 6 = Political experience.]

[80% of data withheld.]
Technical attributes: [Question type:Open] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_poelex


Variable label: Preferred mayoral candidate
Literal question:

We are interested in knowing which leaders voters would like to represent them in the municipal elections. Please read carefully the descriptions about two possible mayoral candidates and consider which of the two you prefer. Both represent the party that you would like to vote for:

Candidate A [r31_poelex_religion1] [r31_poelex_immigration1] [r31_poelex_age1] [r31_poelex_utd1] [r31_poelex_gender1] [r31_pole experience1]

Candidate B [r31_poelex_religion2] [r31_poelex_immigration2] [r31_poelex_age2] [r31_poelex_utd2] [r31_poelex_gender2] [r31_pole experience2]

Based on this information, which mayoral candidate do you prefer?
Equivalent in others panels: p11_poelex
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 1) | (r31_group = 2) | (r31_group = 3) | (r31_group = 4)]

[Respondents was shown information about the candidates in a table. Variables listed in question text was shown in random order which is stored in [r31_poelex_roworder] and [r31_poelex_roworder_seq].

If [r31_group] = 1, 3 the respondents were exposed to the question after [r31_pceum]. If [r31_group] = 2 the respondents were exposed to the question after [r31_pohpqxc]. If [r31_group] = 4 the respondents were exposed to the question after [r31_dmaicx].]

[80% of data withheld.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:11515] [Range:-]



r31_cpredx2_ran1


Variable label: Experiment. Randomly selects an element for textpiping in [r31_cpredx2].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 3) | (r31_group = 4)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:4534] [Invalid:6981] [Range:1-2]

Value Label Cases Percentage
1 People from the big cities 2241 49.4% 0.4942655
2 National politicians and the authorities in Oslo 2293 50.6% 0.5057345
Sysmiss 6981 NA


r31_cpredx2_ran2


Variable label: Experiment. Randomly selects an element for textpiping in [r31_cpredx2].
Field period: 04.11.2024 - 25.11.2024
Technical description: [Randomized if (r31_group = 3) | (r31_group = 4)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:4534] [Invalid:6981] [Range:1-4]

Value Label Cases Percentage
1 culture and way of life in 1099 24.2% 0.2423908
2 value creation and trade and industry in 1153 25.4% 0.2543008
3 the need for good public services, such as schools, hospitals and police, in 1136 25.1% 0.2505514
4 the cost of climate policy for 1146 25.3% 0.2527569
Sysmiss 6981 NA


r31_cpredx2


Variable label: Agree/Disagree: [r31_cpredx2_ran1] acknowledges [r31_cpredx2_ran2] rural areas to an insufficient extent.
Literal question: To what extent do you agree or disagree with the following statement: [r31_cpredx2_ran1] acknowledges [r31_cpredx2_ran2] rural areas to an insufficient extent.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 3) | (r31_group = 4)]

[If [r31_group] = 3 the respondents were exposed to the question after [r31_mlinlx]. If [r31_group] = 4 the respondents were exposed to the question after [r31_poelex].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 810 17.8% 0.17802198
2 Agree 1131 24.9% 0.24857143
3 Agree somewhat 1005 22.1% 0.22087912
4 Neither agree nor disagree 815 17.9% 0.17912088
5 Disagree somewhat 295 6.5% 0.06483516
6 Disagree 339 7.5% 0.07450549
7 Strongly disagree 110 2.4% 0.02417582
97 Not answered 45 1.0% 0.00989011
98 Not asked 6965 NA


r31_dvneioxf


Variable label: Feeling thermometer for those who believe that it should be [r31_dvneiox_pipe2] for non-European immigrants to obtain residence in Norway.
Literal question:

We would like to know how you feel about those who think it should be [r31_dvneiox_pipe2] for non-European immigrants to gain residence in Norway. We ask you to rate those who support this position on a so-called “feeling thermometer”.

Ratings between 50 and 100 degrees mean that you have warm and positive feelings towards them. Ratings between 0 and 50 degrees mean that you have cold and negative feelings towards them. Ratings of 50 degrees mean that you do not feel particularly warm or cold towards them.
Post-question: Pull the slider down to give your rating.
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Asked if (r31_group = 5) & (r31_dvnei) is answered]

[If [r31_dvneiox_ran] = 1 the question was displayed before [r31_dvneiox]. If [r31_dvneiox_ran] = 2, 3 the question was displayed after [r31_dvneioxe_1] and [r31_dvneioxe_2].

The respondents answered by using a slider.]
Technical attributes: [Question type:Numeric] [Format:numeric] [Valid:2146] [Invalid:9369] [Range:0-100]



r31_cesfhx


Variable label: What is your impression of the feed that salmon receive?
Literal question: What is your impression of the feed that salmon receive?
Field period: 04.11.2024 - 25.11.2024
Technical description:

[Spurt dersom (r31_group = 2)]

[Hvis [r31_cesfhx_ran] = 1 ble spørsmålet stilt etter [r31_cesfi]. Hvis [r31_cesfhx_ran] = 2 ble spørsmålet stilt etter [r31_ceswfx].

Hvis [r31_cesfhx_ran] = 1 ble respondenten vist teksten “I dag er soya, fiskemel og fiskeolje viktige ingredienser i fôret. 92% av ingrediensene er importerte.” over spørsmålsteksten.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 It helps to make fish very healthy for humans 42 1.8% 0.01797176
2 It helps to make fish healthy for humans 565 24.2% 0.24176294
3 It has no effect on how healthy the fish are for humans 686 29.4% 0.29353872
4 It helps to make fish unhealthy for humans 805 34.4% 0.34445871
5 It helps to make fish very unhealthy for humans 113 4.8% 0.04835259
97 Not answered 126 5.4% 0.05391528
98 Not asked 9178 NA


r31_avslutt


Variable label: Closing comments.
Field period: 04.11.2024 - 25.11.2024
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:11515] [Range:-]



r31P1


Variable label: Gender
Field period: 04.11.2024 - 25.11.2024
Technical attributes: [Question type: -] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Male 5853 50.8% 0.5082935
2 Female 5662 49.2% 0.4917065


r31P2


Variable label: Region
Field period: 04.11.2024 - 25.11.2024
Technical attributes: [Question type: -] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Oslo 1793 15.6% 0.15570994
2 Østlandet 4164 36.2% 0.36161528
3 Sørlandet 569 4.9% 0.04941381
4 Vestlandet 3145 27.3% 0.27312201
5 Trøndelag 970 8.4% 0.08423795
6 Nord-Norge 874 7.6% 0.07590100


r31P3


Variable label: County
Field period: 04.11.2024 - 25.11.2024
Technical attributes: [Question type: -] [Format:numeric] [Valid:11515] [Invalid:0] [Range:3-56]

Value Label Cases Percentage
3 Oslo 1793 15.6% 0.155709944
11 Rogaland 1113 9.7% 0.096656535
15 Møre og Romsdal 461 4.0% 0.040034737
18 Nordland 436 3.8% 0.037863656
31 Østfold 522 4.5% 0.045332175
32 Akershus 1652 14.3% 0.143465046
33 Buskerud 485 4.2% 0.042118975
34 Innlandet 628 5.5% 0.054537560
39 Vestfold 584 5.1% 0.050716457
40 Telemark 293 2.5% 0.025445072
42 Agder 569 4.9% 0.049413808
46 Vestland 1571 13.6% 0.136430743
50 Trøndelag 970 8.4% 0.084237950
55 Troms 323 2.8% 0.028050369
56 Finnmark 115 1.0% 0.009986974


r31P3_2


Variable label: Constituencies parliament election 2021
Field period: 04.11.2024 - 25.11.2024
Technical attributes: [Question type: -] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-19]

Value Label Cases Percentage
3 Østfold 522 4.5% 0.045332175
1 Akershus 1640 14.2% 0.142422927
2 Oslo 1793 15.6% 0.155709944
5 Hedmark 331 2.9% 0.028745115
6 Oppland 297 2.6% 0.025792445
7 Buskerud 497 4.3% 0.043161094
4 Vestfold 584 5.1% 0.050716457
8 Telemark 293 2.5% 0.025445072
10 Aust-Agder 201 1.7% 0.017455493
9 Vest-Agder 368 3.2% 0.031958315
11 Rogaland 1113 9.7% 0.096656535
12 Hordaland 1391 12.1% 0.120798958
13 Sogn og Fjordane 180 1.6% 0.015631785
14 Møre og Romsdal 461 4.0% 0.040034737
16 Sør-Trøndelag 775 6.7% 0.067303517
15 Nord-Trøndelag 195 1.7% 0.016934433
17 Nordland 436 3.8% 0.037863656
18 Troms 323 2.8% 0.028050369
19 Finnmark 115 1.0% 0.009986974


r31P5_2


Variable label: Year of birth (condensed)
Field period: 04.11.2024 - 25.11.2024
Technical attributes: [Question type: -] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 1959 or earlier 4547 39.5% 0.3948762
2 1960-1989 5481 47.6% 0.4759878
3 1990 or later 1487 12.9% 0.1291359


r31P5_3


Variable label: Year of birth (expanded, from 1949)
Field period: 04.11.2024 - 25.11.2024
Technical attributes: [Question type: -] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1949 or earlier 1765 15.3% 0.15327833
2 1950-1959 2782 24.2% 0.24159792
3 1960-1969 2562 22.2% 0.22249240
4 1970-1979 1773 15.4% 0.15397308
5 1980-1989 1146 10.0% 0.09952236
6 1990-1999 856 7.4% 0.07433782
7 2000 or later 631 5.5% 0.05479809


r31_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: 04.11.2024 - 25.11.2024
Technical attributes: [Question type: -] [Format:numeric] [Valid:11515] [Invalid:0] [Range:0-4]



r31_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: 04.11.2024 - 25.11.2024
Technical attributes: [Question type: -] [Format:numeric] [Valid:11416] [Invalid:99] [Range:0-0]



r31_generic_stratapop


Variable label: Indicates the proportion size of strata in the population. Strata constructed with P1, P2, and age.
Field period: 04.11.2024 - 25.11.2024
Technical attributes: [Question type: -] [Format:numeric] [Valid:11515] [Invalid:0] [Range:0-0]



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:6412] [Invalid:5103] [Range:1-5]

Value Label Cases Percentage
1 Disagree strongly 1125 18.7% 0.186939182
2 Disagree a little 1469 24.4% 0.244101030
3 Neither agree nor disagree 962 16.0% 0.159853772
4 Agree a little 2029 33.7% 0.337155201
5 Agree strongly 391 6.5% 0.064971751
97 Not answered 42 0.7% 0.006979063
98 Not asked 394 NA
Sysmiss 5103 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:6449] [Invalid:5066] [Range:1-5]

Value Label Cases Percentage
1 Disagree strongly 129 2.1% 0.021304707
2 Disagree a little 501 8.3% 0.082741536
3 Neither agree nor disagree 698 11.5% 0.115276631
4 Agree a little 2913 48.1% 0.481090008
5 Agree strongly 1772 29.3% 0.292650702
97 Not answered 42 0.7% 0.006936416
98 Not asked 394 NA
Sysmiss 5066 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:6449] [Invalid:5066] [Range:1-5]

Value Label Cases Percentage
1 Disagree strongly 2083 34.4% 0.344013212
2 Disagree a little 1680 27.7% 0.277456647
3 Neither agree nor disagree 979 16.2% 0.161684558
4 Agree a little 1071 17.7% 0.176878613
5 Agree strongly 200 3.3% 0.033030553
97 Not answered 42 0.7% 0.006936416
98 Not asked 394 NA
Sysmiss 5066 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:6446] [Invalid:5069] [Range:1-5]

Value Label Cases Percentage
1 Disagree strongly 250 4.1% 0.041308658
2 Disagree a little 1112 18.4% 0.183740912
3 Neither agree nor disagree 970 16.0% 0.160277594
4 Agree a little 2465 40.7% 0.407303371
5 Agree strongly 1213 20.0% 0.200429610
97 Not answered 42 0.7% 0.006939855
98 Not asked 394 NA
Sysmiss 5069 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:6446] [Invalid:5069] [Range:1-5]

Value Label Cases Percentage
1 Disagree strongly 1802 29.8% 0.297752809
2 Disagree a little 1915 31.6% 0.316424323
3 Neither agree nor disagree 941 15.5% 0.155485790
4 Agree a little 1029 17.0% 0.170026438
5 Agree strongly 323 5.3% 0.053370787
97 Not answered 42 0.7% 0.006939855
98 Not asked 394 NA
Sysmiss 5069 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:6457] [Invalid:5058] [Range:1-5]

Value Label Cases Percentage
1 Disagree strongly 257 4.2% 0.042388257
2 Disagree a little 955 15.8% 0.157512782
3 Neither agree nor disagree 982 16.2% 0.161966023
4 Agree a little 2259 37.3% 0.372587828
5 Agree strongly 1568 25.9% 0.258617846
97 Not answered 42 0.7% 0.006927264
98 Not asked 394 NA
Sysmiss 5058 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:6455] [Invalid:5060] [Range:1-5]

Value Label Cases Percentage
1 Disagree strongly 1024 16.9% 0.16894902
2 Disagree a little 1833 30.2% 0.30242534
3 Neither agree nor disagree 1737 28.7% 0.28658637
4 Agree a little 1284 21.2% 0.21184623
5 Agree strongly 141 2.3% 0.02326349
97 Not answered 42 0.7% 0.00692955
98 Not asked 394 NA
Sysmiss 5060 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:6457] [Invalid:5058] [Range:1-5]

Value Label Cases Percentage
1 Disagree strongly 81 1.3% 0.013359723
2 Disagree a little 118 1.9% 0.019462312
3 Neither agree nor disagree 505 8.3% 0.083292100
4 Agree a little 2516 41.5% 0.414976084
5 Agree strongly 2801 46.2% 0.461982517
97 Not answered 42 0.7% 0.006927264
98 Not asked 394 NA
Sysmiss 5058 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:6452] [Invalid:5063] [Range:1-5]

Value Label Cases Percentage
1 Disagree strongly 1875 31.0% 0.309508088
2 Disagree a little 1807 29.8% 0.298283262
3 Neither agree nor disagree 1053 17.4% 0.173819742
4 Agree a little 1050 17.3% 0.173324530
5 Agree strongly 231 3.8% 0.038131397
97 Not answered 42 0.7% 0.006932981
98 Not asked 394 NA
Sysmiss 5063 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:6451] [Invalid:5064] [Range:1-5]

Value Label Cases Percentage
1 Disagree strongly 399 6.6% 0.065874195
2 Disagree a little 803 13.3% 0.132573881
3 Neither agree nor disagree 1519 25.1% 0.250784217
4 Agree a little 2102 34.7% 0.347036487
5 Agree strongly 1192 19.7% 0.196797094
97 Not answered 42 0.7% 0.006934126
98 Not asked 394 NA
Sysmiss 5064 NA


c16_bgbfi_source


Variable label: Source for c16_bgbfi
Technical attributes: [Question type: -] [Format:character] [Valid:6487] [Invalid:5028] [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:8328] [Invalid:3187] [Range:1-7]

Value Label Cases Percentage
1 1 – Strongly oppose 2708 35.2% 0.351916829
2 2 – Somewhat oppose 1405 18.3% 0.182586095
3 3 – Slightly oppose 925 12.0% 0.120207927
4 4 - Neutral 960 12.5% 0.124756335
5 5 – Slightly favor 929 12.1% 0.120727745
6 6 – Somewhat favor 596 7.7% 0.077452891
7 7 – Strongly favor 135 1.8% 0.017543860
97 Not answered 37 0.5% 0.004808317
98 Not asked 633 NA
Sysmiss 3187 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:8323] [Invalid:3192] [Range:1-7]

Value Label Cases Percentage
1 1 – Strongly oppose 4731 61.5% 0.615214564
2 2 – Somewhat oppose 863 11.2% 0.112223667
3 3 – Slightly oppose 422 5.5% 0.054876463
4 4 - Neutral 806 10.5% 0.104811443
5 5 – Slightly favor 508 6.6% 0.066059818
6 6 – Somewhat favor 254 3.3% 0.033029909
7 7 – Strongly favor 69 0.9% 0.008972692
97 Not answered 37 0.5% 0.004811443
98 Not asked 633 NA
Sysmiss 3192 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:8325] [Invalid:3190] [Range:1-7]

Value Label Cases Percentage
1 1 – Strongly oppose 433 5.6% 0.056292252
2 2 – Somewhat oppose 355 4.6% 0.046151846
3 3 – Slightly oppose 411 5.3% 0.053432137
4 4 - Neutral 737 9.6% 0.095813833
5 5 – Slightly favor 757 9.8% 0.098413937
6 6 – Somewhat favor 1544 20.1% 0.200728029
7 7 – Strongly favor 3418 44.4% 0.444357774
97 Not answered 37 0.5% 0.004810192
98 Not asked 633 NA
Sysmiss 3190 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:8306] [Invalid:3209] [Range:1-7]

Value Label Cases Percentage
1 1 – Strongly oppose 334 4.4% 0.043529258
2 2 – Somewhat oppose 567 7.4% 0.073895478
3 3 – Slightly oppose 749 9.8% 0.097615014
4 4 - Neutral 1040 13.6% 0.135540206
5 5 – Slightly favor 856 11.2% 0.111560016
6 6 – Somewhat favor 1666 21.7% 0.217124984
7 7 – Strongly favor 2424 31.6% 0.315912941
97 Not answered 37 0.5% 0.004822103
98 Not asked 633 NA
Sysmiss 3209 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:8313] [Invalid:3202] [Range:1-7]

Value Label Cases Percentage
1 1 – Strongly oppose 1623 21.1% 0.211328125
2 2 – Somewhat oppose 1619 21.1% 0.210807292
3 3 – Slightly oppose 882 11.5% 0.114843750
4 4 - Neutral 1272 16.6% 0.165625000
5 5 – Slightly favor 1051 13.7% 0.136848958
6 6 – Somewhat favor 777 10.1% 0.101171875
7 7 – Strongly favor 419 5.5% 0.054557292
97 Not answered 37 0.5% 0.004817708
98 Not asked 633 NA
Sysmiss 3202 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:8292] [Invalid:3223] [Range:1-7]

Value Label Cases Percentage
1 1 – Strongly oppose 1827 23.9% 0.238542891
2 2 – Somewhat oppose 1387 18.1% 0.181094138
3 3 – Slightly oppose 861 11.2% 0.112416765
4 4 - Neutral 1603 20.9% 0.209296253
5 5 – Slightly favor 958 12.5% 0.125081603
6 6 – Somewhat favor 682 8.9% 0.089045567
7 7 – Strongly favor 304 4.0% 0.039691866
97 Not answered 37 0.5% 0.004830918
98 Not asked 633 NA
Sysmiss 3223 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:8319] [Invalid:3196] [Range:1-7]

Value Label Cases Percentage
1 1 – Strongly oppose 71 0.9% 0.009237575
2 2 – Somewhat oppose 219 2.8% 0.028493365
3 3 – Slightly oppose 390 5.1% 0.050741608
4 4 - Neutral 754 9.8% 0.098100442
5 5 – Slightly favor 1323 17.2% 0.172131148
6 6 – Somewhat favor 1881 24.5% 0.244730679
7 7 – Strongly favor 3011 39.2% 0.391751236
97 Not answered 37 0.5% 0.004813947
98 Not asked 633 NA
Sysmiss 3196 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:8331] [Invalid:3184] [Range:1-7]

Value Label Cases Percentage
1 1 – Strongly oppose 39 0.5% 0.005066251
2 2 – Somewhat oppose 37 0.5% 0.004806443
3 3 – Slightly oppose 70 0.9% 0.009093271
4 4 - Neutral 297 3.9% 0.038581450
5 5 – Slightly favor 677 8.8% 0.087944921
6 6 – Somewhat favor 1550 20.1% 0.201351000
7 7 – Strongly favor 4991 64.8% 0.648350221
97 Not answered 37 0.5% 0.004806443
98 Not asked 633 NA
Sysmiss 3184 NA


c23_bgsdo_source


Variable label: Source for c23_bgsdo
Technical attributes: [Question type: -] [Format:character] [Valid:8352] [Invalid:3163] [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:9804] [Invalid:1711] [Range:1-6]

Value Label Cases Percentage
6 6 Very much resembles me 645 7.1% 0.071160635
5 5 Resembles me 1976 21.8% 0.218005296
4 4 Somewhat resembles me 3423 37.8% 0.377647838
3 3 Slightly resembles me 1790 19.7% 0.197484554
2 2 Does not resemble me 835 9.2% 0.092122683
1 1 Does not resemble me at all 335 3.7% 0.036959400
97 Not answered 60 0.7% 0.006619594
98 Not asked 740 NA
Sysmiss 1711 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:9815] [Invalid:1700] [Range:1-6]

Value Label Cases Percentage
6 6 Very much resembles me 154 1.7% 0.01696970
5 5 Resembles me 340 3.7% 0.03746556
4 4 Somewhat resembles me 774 8.5% 0.08528926
3 3 Slightly resembles me 1143 12.6% 0.12595041
2 2 Does not resemble me 1791 19.7% 0.19735537
1 1 Does not resemble me at all 4813 53.0% 0.53035813
97 Not answered 60 0.7% 0.00661157
98 Not asked 740 NA
Sysmiss 1700 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:9805] [Invalid:1710] [Range:1-6]

Value Label Cases Percentage
6 6 Very much resembles me 1540 17.0% 0.169884170
5 5 Resembles me 3429 37.8% 0.378268064
4 4 Somewhat resembles me 3398 37.5% 0.374848318
3 3 Slightly resembles me 528 5.8% 0.058246001
2 2 Does not resemble me 92 1.0% 0.010148924
1 1 Does not resemble me at all 18 0.2% 0.001985659
97 Not answered 60 0.7% 0.006618864
98 Not asked 740 NA
Sysmiss 1710 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:9813] [Invalid:1702] [Range:1-6]

Value Label Cases Percentage
6 6 Very much resembles me 2330 25.7% 0.256805908
5 5 Resembles me 3398 37.5% 0.374517800
4 4 Somewhat resembles me 2456 27.1% 0.270693266
3 3 Slightly resembles me 549 6.1% 0.060509203
2 2 Does not resemble me 213 2.3% 0.023476248
1 1 Does not resemble me at all 67 0.7% 0.007384548
97 Not answered 60 0.7% 0.006613028
98 Not asked 740 NA
Sysmiss 1702 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:9810] [Invalid:1705] [Range:1-6]

Value Label Cases Percentage
6 6 Very much resembles me 1880 20.7% 0.207276736
5 5 Resembles me 3197 35.2% 0.352480706
4 4 Somewhat resembles me 3027 33.4% 0.333737596
3 3 Slightly resembles me 709 7.8% 0.078169791
2 2 Does not resemble me 161 1.8% 0.017750827
1 1 Does not resemble me at all 36 0.4% 0.003969129
97 Not answered 60 0.7% 0.006615215
98 Not asked 740 NA
Sysmiss 1705 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:9812] [Invalid:1703] [Range:1-6]

Value Label Cases Percentage
6 6 Very much resembles me 155 1.7% 0.017085538
5 5 Resembles me 671 7.4% 0.073963845
4 4 Somewhat resembles me 2275 25.1% 0.250771605
3 3 Slightly resembles me 3051 33.6% 0.336309524
2 2 Does not resemble me 1964 21.6% 0.216490300
1 1 Does not resemble me at all 896 9.9% 0.098765432
97 Not answered 60 0.7% 0.006613757
98 Not asked 740 NA
Sysmiss 1703 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:9810] [Invalid:1705] [Range:1-6]

Value Label Cases Percentage
6 6 Very much resembles me 281 3.1% 0.030981257
5 5 Resembles me 1108 12.2% 0.122160970
4 4 Somewhat resembles me 3345 36.9% 0.368798236
3 3 Slightly resembles me 2758 30.4% 0.304079383
2 2 Does not resemble me 1159 12.8% 0.127783903
1 1 Does not resemble me at all 359 4.0% 0.039581036
97 Not answered 60 0.7% 0.006615215
98 Not asked 740 NA
Sysmiss 1705 NA


c25_bgtiv_8


Variable label: Resembles you: To be successful 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:9812] [Invalid:1703] [Range:1-6]

Value Label Cases Percentage
6 6 Very much resembles me 164 1.8% 0.018077601
5 5 Resembles me 655 7.2% 0.072200176
4 4 Somewhat resembles me 2212 24.4% 0.243827160
3 3 Slightly resembles me 3056 33.7% 0.336860670
2 2 Does not resemble me 1944 21.4% 0.214285714
1 1 Does not resemble me at all 981 10.8% 0.108134921
97 Not answered 60 0.7% 0.006613757
98 Not asked 740 NA
Sysmiss 1703 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:9815] [Invalid:1700] [Range:1-6]

Value Label Cases Percentage
6 6 Very much resembles me 80 0.9% 0.008815427
5 5 Resembles me 581 6.4% 0.064022039
4 4 Somewhat resembles me 2430 26.8% 0.267768595
3 3 Slightly resembles me 2948 32.5% 0.324848485
2 2 Does not resemble me 1971 21.7% 0.217190083
1 1 Does not resemble me at all 1005 11.1% 0.110743802
97 Not answered 60 0.7% 0.006611570
98 Not asked 740 NA
Sysmiss 1700 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:9817] [Invalid:1698] [Range:1-6]

Value Label Cases Percentage
6 6 Very much resembles me 1245 13.7% 0.137159855
5 5 Resembles me 2500 27.5% 0.275421395
4 4 Somewhat resembles me 3263 35.9% 0.359480004
3 3 Slightly resembles me 1330 14.7% 0.146524182
2 2 Does not resemble me 533 5.9% 0.058719841
1 1 Does not resemble me at all 146 1.6% 0.016084609
97 Not answered 60 0.7% 0.006610113
98 Not asked 740 NA
Sysmiss 1698 NA


c25_bgtiv_source


Variable label: Source for c25_bgtiv
Technical attributes: [Question type: -] [Format:character] [Valid:9837] [Invalid:1678] [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:9450] [Invalid:2065] [Range:1-13]

Value Label Cases Percentage
1 The Christian Democrats 315 3.5% 0.035187668
2 The Conservative Party 1753 19.6% 0.195822163
3 The Progress Party 612 6.8% 0.068364611
4 The Liberal Party 440 4.9% 0.049151028
5 The Socialist Left Party 930 10.4% 0.103887399
6 The Centre Party 927 10.4% 0.103552279
7 The Green Party 514 5.7% 0.057417337
8 The Labour Party 2027 22.6% 0.226429848
9 The Red Party 613 6.8% 0.068476318
10 Other: 246 2.7% 0.027479893
11 Did not vote 177 2.0% 0.019772118
12 Not entitled to vote 322 3.6% 0.035969616
13 Voted blank 41 0.5% 0.004579982
97 Not answered 35 0.4% 0.003909741
98 Not asked 498 NA
Sysmiss 2065 NA


c25_pcvot21_source


Variable label: Source for c25_pcvot21
Technical attributes: [Question type: -] [Format:character] [Valid:9450] [Invalid:2065] [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:10013] [Invalid:1502] [Range:1-8]

Value Label Cases Percentage
1 Less than 150 000 308 3.1% 0.030867909
2 150 001 - 300 000 966 9.7% 0.096812989
3 300 001 - 400 000 1405 14.1% 0.140809782
4 400 001 - 500 000 1530 15.3% 0.153337342
5 500 001 - 600 000 1470 14.7% 0.147324113
6 600 001 - 700 000 1447 14.5% 0.145019042
7 700 001 - 1 000 000 1821 18.3% 0.182501503
8 More than 1 000000 960 9.6% 0.096211666
97 Not answered 71 0.7% 0.007115654
98 Not asked 35 NA
Sysmiss 1502 NA


c26_bginc_source


Variable label: Source for c26_bginc
Technical attributes: [Question type: -] [Format:character] [Valid:10013] [Invalid:1502] [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:9753] [Invalid:1762] [Range:1-5]

Value Label Cases Percentage
1 To a very great extent 94 1.0% 0.01013259
2 To a great extent 1104 11.9% 0.11900399
3 Somewhat 4113 44.3% 0.44335453
4 Slightly 3139 33.8% 0.33836370
5 Not at all 781 8.4% 0.08418670
97 Not answered 46 0.5% 0.00495850
98 Not asked 476 NA
Sysmiss 1762 NA


c26_pcepe_source


Variable label: Source for c26_pcepe
Technical attributes: [Question type: -] [Format:character] [Valid:9753] [Invalid:1762] [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:9809] [Invalid:1706] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 348 3.7% 0.036604607
2 Agree 962 10.1% 0.101188598
3 Agree somewhat 2630 27.7% 0.276638267
4 Neither agree nor disagree 886 9.3% 0.093194488
5 Disagree somewhat 1266 13.3% 0.133165036
6 Disagree 2447 25.7% 0.257389292
7 Strongly disagree 942 9.9% 0.099084885
97 Not answered 26 0.3% 0.002734827
98 Not asked 302 NA
Sysmiss 1706 NA


c26_pcipe_source


Variable label: Source for c26_pcipe
Technical attributes: [Question type: -] [Format:character] [Valid:9809] [Invalid:1706] [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:9874] [Invalid:1641] [Range:1-5]

Value Label Cases Percentage
1 Very satisfied 2652 26.9% 0.2694300518
2 Satisfied 5703 57.9% 0.5793965254
3 Somewhat satisfied 1173 11.9% 0.1191709845
4 Dissatisfied 264 2.7% 0.0268210911
5 Not satisfied at all 49 0.5% 0.0049781571
97 Not answered 2 0.0% 0.0002031901
98 Not asked 31 NA
Sysmiss 1641 NA


c26_pcsal_source


Variable label: Source for c26_pcsal
Technical attributes: [Question type: -] [Format:character] [Valid:9874] [Invalid:1641] [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:9647] [Invalid:1868] [Range:1-4]

Value Label Cases Percentage
1 Yes, I [work/worked] in the oil or gas industry 341 4.1% 0.041034898
2 Yes, my job [is/was] closely associated with the oil or gas industry 309 3.7% 0.037184116
3 No, but previously I have worked in the oil/gas industry, or have been closely associated with it 242 2.9% 0.029121540
4 No 7401 89.1% 0.890613718
97 Not answered 17 0.2% 0.002045728
98 Not asked 1337 NA
Sysmiss 1868 NA


c27_bgoil_source


Variable label: Source for c27_bgoil
Technical attributes: [Question type: -] [Format:character] [Valid:9647] [Invalid:1868] [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:11515] [Range:-]

Value Label Cases Percentage
Sysmiss 11515 NA


c27_bgoily_source


Variable label: Source for c27_bgoily
Technical attributes: [Question type: -] [Format:character] [Valid:0] [Invalid:11515] [Range:-]



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:6753] [Invalid:4762] [Range:1-7]

Value Label Cases Percentage
1 1960 - 1969 8 0.9% 0.009049774
2 1970 - 1979 139 15.7% 0.157239819
3 1980 - 1989 253 28.6% 0.286199095
4 1990 - 1999 183 20.7% 0.207013575
5 2000 - 2009 193 21.8% 0.218325792
6 2010 - 2019 93 10.5% 0.105203620
7 2020 or later 10 1.1% 0.011312217
97 Not answered 5 0.6% 0.005656109
98 Not asked 5869 NA
Sysmiss 4762 NA


c27_bgoily_decade_source


Variable label: Source for c27_bgoily_decade
Technical attributes: [Question type: -] [Format:character] [Valid:6753] [Invalid:4762] [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:9306] [Invalid:2209] [Range:0-1]

Value Label Cases Percentage
1 Selected 775 8.8% 0.0875211745
0 Not selected 8078 91.2% 0.9122529644
97 Not answered 2 0.0% 0.0002258611
98 Not asked 451 NA
Sysmiss 2209 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:9306] [Invalid:2209] [Range:0-1]

Value Label Cases Percentage
1 Selected 1474 16.6% 0.1664596273
0 Not selected 7379 83.3% 0.8333145116
97 Not answered 2 0.0% 0.0002258611
98 Not asked 451 NA
Sysmiss 2209 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:9306] [Invalid:2209] [Range:0-1]

Value Label Cases Percentage
1 Selected 1097 12.4% 0.1238848108
0 Not selected 7756 87.6% 0.8758893281
97 Not answered 2 0.0% 0.0002258611
98 Not asked 451 NA
Sysmiss 2209 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:9306] [Invalid:2209] [Range:0-1]

Value Label Cases Percentage
1 Selected 200 2.3% 0.0225861095
0 Not selected 8653 97.7% 0.9771880294
97 Not answered 2 0.0% 0.0002258611
98 Not asked 451 NA
Sysmiss 2209 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:9306] [Invalid:2209] [Range:0-1]

Value Label Cases Percentage
1 Selected 397 4.5% 0.0448334274
0 Not selected 8456 95.5% 0.9549407115
97 Not answered 2 0.0% 0.0002258611
98 Not asked 451 NA
Sysmiss 2209 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:9306] [Invalid:2209] [Range:0-1]

Value Label Cases Percentage
1 Selected 298 3.4% 0.0336533032
0 Not selected 8555 96.6% 0.9661208357
97 Not answered 2 0.0% 0.0002258611
98 Not asked 451 NA
Sysmiss 2209 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:9306] [Invalid:2209] [Range:0-1]

Value Label Cases Percentage
1 Selected 243 2.7% 0.0274421231
0 Not selected 8610 97.2% 0.9723320158
97 Not answered 2 0.0% 0.0002258611
98 Not asked 451 NA
Sysmiss 2209 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:9306] [Invalid:2209] [Range:0-1]

Value Label Cases Percentage
1 Selected 742 8.4% 0.0837944664
0 Not selected 8111 91.6% 0.9159796725
97 Not answered 2 0.0% 0.0002258611
98 Not asked 451 NA
Sysmiss 2209 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:9306] [Invalid:2209] [Range:0-1]

Value Label Cases Percentage
1 Selected 654 7.4% 0.0738565782
0 Not selected 8199 92.6% 0.9259175607
97 Not answered 2 0.0% 0.0002258611
98 Not asked 451 NA
Sysmiss 2209 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:9306] [Invalid:2209] [Range:0-1]

Value Label Cases Percentage
1 Selected 450 5.1% 0.0508187465
0 Not selected 8403 94.9% 0.9489553924
97 Not answered 2 0.0% 0.0002258611
98 Not asked 451 NA
Sysmiss 2209 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:9306] [Invalid:2209] [Range:0-1]

Value Label Cases Percentage
1 Selected 485 5.5% 0.0547713156
0 Not selected 8368 94.5% 0.9450028233
97 Not answered 2 0.0% 0.0002258611
98 Not asked 451 NA
Sysmiss 2209 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:9306] [Invalid:2209] [Range:0-1]

Value Label Cases Percentage
1 Selected 367 4.1% 0.0414455110
0 Not selected 8486 95.8% 0.9583286279
97 Not answered 2 0.0% 0.0002258611
98 Not asked 451 NA
Sysmiss 2209 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:9306] [Invalid:2209] [Range:0-1]

Value Label Cases Percentage
1 Selected 270 3.0% 0.0304912479
0 Not selected 8583 96.9% 0.9692828910
97 Not answered 2 0.0% 0.0002258611
98 Not asked 451 NA
Sysmiss 2209 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:9306] [Invalid:2209] [Range:0-1]

Value Label Cases Percentage
1 Selected 450 5.1% 0.0508187465
0 Not selected 8403 94.9% 0.9489553924
97 Not answered 2 0.0% 0.0002258611
98 Not asked 451 NA
Sysmiss 2209 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:9306] [Invalid:2209] [Range:0-1]

Value Label Cases Percentage
1 Selected 132 1.5% 0.0149068323
0 Not selected 8721 98.5% 0.9848673066
97 Not answered 2 0.0% 0.0002258611
98 Not asked 451 NA
Sysmiss 2209 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:9306] [Invalid:2209] [Range:0-1]

Value Label Cases Percentage
1 Selected 87 1.0% 0.0098249577
0 Not selected 8766 99.0% 0.9899491813
97 Not answered 2 0.0% 0.0002258611
98 Not asked 451 NA
Sysmiss 2209 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:9306] [Invalid:2209] [Range:0-1]

Value Label Cases Percentage
1 Selected 539 6.1% 0.0608695652
0 Not selected 8314 93.9% 0.9389045737
97 Not answered 2 0.0% 0.0002258611
98 Not asked 451 NA
Sysmiss 2209 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:9306] [Invalid:2209] [Range:0-1]

Value Label Cases Percentage
1 Selected 363 4.1% 0.0409937888
0 Not selected 8490 95.9% 0.9587803501
97 Not answered 2 0.0% 0.0002258611
98 Not asked 451 NA
Sysmiss 2209 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:9306] [Invalid:2209] [Range:0-1]

Value Label Cases Percentage
1 Selected 503 5.7% 0.0568040655
0 Not selected 8350 94.3% 0.9429700734
97 Not answered 2 0.0% 0.0002258611
98 Not asked 451 NA
Sysmiss 2209 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:9306] [Invalid:2209] [Range:0-1]

Value Label Cases Percentage
1 Selected 574 6.5% 0.0648221344
0 Not selected 8279 93.5% 0.9349520045
97 Not answered 2 0.0% 0.0002258611
98 Not asked 451 NA
Sysmiss 2209 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:9306] [Invalid:2209] [Range:0-1]

Value Label Cases Percentage
1 Selected 708 8.0% 0.0799548278
0 Not selected 8145 92.0% 0.9198193111
97 Not answered 2 0.0% 0.0002258611
98 Not asked 451 NA
Sysmiss 2209 NA


c29_bgind_source


Variable label: Source for c29_bgind
Technical attributes: [Question type: -] [Format:character] [Valid:9306] [Invalid:2209] [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:8965] [Invalid:2550] [Range:1-7]

Value Label Cases Percentage
1 State, county or municipal administration 447 11.4% 0.113509396
2 Other public sector (e.g. school and health services) 1249 31.7% 0.317166074
3 Publicly owned enterprise 313 7.9% 0.079481971
4 Private business 1503 38.2% 0.381665820
5 Self-employed 299 7.6% 0.075926866
6 Other: 29 0.7% 0.007364144
7 Have not previously been working 80 2.0% 0.020314881
97 Not answered 18 0.5% 0.004570848
98 Not asked 5027 NA
Sysmiss 2550 NA


c29_bgscp_source


Variable label: Source for c29_bgscp
Technical attributes: [Question type: -] [Format:character] [Valid:8965] [Invalid:2550] [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:11470] [Invalid:45] [Range:0-6]

Value Label Cases Percentage
0 None 9294 81.4% 0.8141918528
1 1 890 7.8% 0.0779675865
2 2 880 7.7% 0.0770915462
3 3 252 2.2% 0.0220762155
4 4 29 0.3% 0.0025405169
5 5 5 0.0% 0.0004380201
6 6 or more 3 0.0% 0.0002628121
97 Not answered 62 0.5% 0.0054314498
98 Not asked 55 NA
Sysmiss 45 NA


c30_bgchi_source


Variable label: Source for c30_bgchi
Technical attributes: [Question type: -] [Format:character] [Valid:11470] [Invalid:45] [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:11490] [Invalid:25] [Range:0-1]

Value Label Cases Percentage
1 Selected 592 5.2% 0.051875219
0 Not selected 10737 94.1% 0.940851735
97 Not answered 83 0.7% 0.007273046
98 Not asked 78 NA
Sysmiss 25 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:11490] [Invalid:25] [Range:0-1]

Value Label Cases Percentage
1 Selected 10782 94.5% 0.944794953
0 Not selected 547 4.8% 0.047932001
97 Not answered 83 0.7% 0.007273046
98 Not asked 78 NA
Sysmiss 25 NA


c30_bgcit_source


Variable label: Source for c30_bgcit
Technical attributes: [Question type: -] [Format:character] [Valid:11490] [Invalid:25] [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:11394] [Invalid:121] [Range:1-7]

Value Label Cases Percentage
1 Single 1730 15.3% 0.153165117
2 Non-domestic relationship 664 5.9% 0.058787074
3 Cohabitant 1707 15.1% 0.151128818
4 Married/legally registered partner 6129 54.3% 0.542629482
5 Divorced/separated/formerly legally registered partner 587 5.2% 0.051969898
6 Widow/widower 437 3.9% 0.038689686
7 Other: 19 0.2% 0.001682160
97 Not answered 22 0.2% 0.001947764
98 Not asked 99 NA
Sysmiss 121 NA


c30_bgciv_source


Variable label: Source for c30_bgciv
Technical attributes: [Question type: -] [Format:character] [Valid:11394] [Invalid:121] [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:11452] [Invalid:63] [Range:1-7]

Value Label Cases Percentage
1 Lower class 139 1.2% 0.012274815
2 Working class 1558 13.8% 0.137583893
3 Lower middle class 1283 11.3% 0.113299188
4 Middle class 6186 54.6% 0.546273402
5 Upper middle class 1682 14.9% 0.148534087
6 Upper class 43 0.4% 0.003797245
7 Don't know 379 3.3% 0.033468739
97 Not answered 54 0.5% 0.004768633
98 Not asked 128 NA
Sysmiss 63 NA


c30_bgcla_source


Variable label: Source for c30_bgcla
Technical attributes: [Question type: -] [Format:character] [Valid:11452] [Invalid:63] [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:11427] [Invalid:88] [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) 4876 42.9% 0.428847845
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 362 3.2% 0.031838171
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 421 3.7% 0.037027265
4 Self-employed 451 4.0% 0.039665787
5 In education (not paid by an employer) 453 4.0% 0.039841689
6 Unemployed and actively seeking a job 81 0.7% 0.007124011
7 Unemployed and not actively seeking a job 47 0.4% 0.004133685
8 Permanently ill or disabled 656 5.8% 0.057695690
9 Retired 3860 33.9% 0.339489886
10 In military service 12 0.1% 0.001055409
11 Working at home, minding children or providing care to other persons 60 0.5% 0.005277045
12 Other: 69 0.6% 0.006068602
97 Not answered 22 0.2% 0.001934916
98 Not asked 57 NA
Sysmiss 88 NA


c30_bgday_source


Variable label: Source for c30_bgday
Technical attributes: [Question type: -] [Format:character] [Valid:11427] [Invalid:88] [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:11493] [Invalid:22] [Range:1-12]

Value Label Cases Percentage
1 No completed education 31 0.3% 0.002697294
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) 478 4.2% 0.041590533
3 Secondary education-general studies/programme for general studies, one-year supplementary study for university and college admission certification (VK2, VG3, High School) 1184 10.3% 0.103019229
4 Secondary education-vocational line of study/education programme (VK2, VK3, VG3, apprenticeship examination, apprentices’ final exam ) 1365 11.9% 0.118767946
5 Diploma from supplementary programme for general university and college admissions certification (tertiary vocational education, vocational technical college) 988 8.6% 0.085965370
6 University/College, less than 3 years, but at least 2 years (university college graduate 2 and 2½ years) 993 8.6% 0.086400418
7 College-3-4 year education (Bachelor-, cand.mag., teacher training college, school of nursing, preschool teacher, engineer, business graduate, etc.) 2291 19.9% 0.199338728
8 University-3-4 year education (Bachelor, cand.mag.) 876 7.6% 0.076220308
9 College-5-6 year education (Master, major) 841 7.3% 0.073174976
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)) 2027 17.6% 0.176368224
11 Researcher level (Doctorate, Ph.d.) 339 2.9% 0.029496215
12 None of the above (please enter): 34 0.3% 0.002958322
97 Not answered 46 0.4% 0.004002436
98 Not asked 0 NA
Sysmiss 22 NA


c30_bgedu_source


Variable label: Source for c30_bgedu
Technical attributes: [Question type: -] [Format:character] [Valid:11493] [Invalid:22] [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:11493] [Invalid:22] [Range:1-3]

Value Label Cases Percentage
1 No education/elementary school 509 4.4% 0.04428783
2 Upper secondary education 3540 30.8% 0.30801357
3 University/University college 7367 64.1% 0.64099887
97 Not answered 77 0.7% 0.00669973
Sysmiss 22 NA


c30_bgedu3_source


Variable label: Source for c30_bgedu3
Technical attributes: [Question type: -] [Format:character] [Valid:11493] [Invalid:22] [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:11492] [Invalid:23] [Range:1-5]

Value Label Cases Percentage
1 Excellent 1397 12.2% 0.121679296
2 Very good 3607 31.4% 0.314171239
3 Good 4220 36.8% 0.367563801
4 Somewhat good 1751 15.3% 0.152512847
5 Poor 462 4.0% 0.040240397
97 Not answered 44 0.4% 0.003832419
98 Not asked 11 NA
Sysmiss 23 NA


c30_bghea_source


Variable label: Source for c30_bghea
Technical attributes: [Question type: -] [Format:character] [Valid:11492] [Invalid:23] [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:11468] [Invalid:47] [Range:1-5]

Value Label Cases Percentage
1 No 10098 89.8% 0.897919260
2 I myself have immigrated to Norway 621 5.5% 0.055219634
3 Both my parents have immigrated to Norway, but I was born in Norway 64 0.6% 0.005690912
4 My mother has immigrated to Norway, but myself and my father have not immigrated 225 2.0% 0.020007114
5 My father has immigrated to Norway, but myself and my mother have not immigrated 160 1.4% 0.014227281
97 Not answered 78 0.7% 0.006935799
98 Not asked 222 NA
Sysmiss 47 NA


c30_bgimm_source


Variable label: Source for c30_bgimm
Technical attributes: [Question type: -] [Format:character] [Valid:11468] [Invalid:47] [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:10495] [Invalid:1020] [Range:1-10]

Value Label Cases Percentage
1 Less than 300 000 NOK 1156 12.0% 0.11970591
2 300 001 - 400 000 NOK 1363 14.1% 0.14114114
3 400 001 - 500 000 NOK 1424 14.7% 0.14745780
4 500 001 - 600 000 NOK 1252 13.0% 0.12964689
5 600 001 - 700 000 NOK 1187 12.3% 0.12291602
6 700 001 - 800 000 NOK 917 9.5% 0.09495703
7 800 001 - 900 000 NOK 629 6.5% 0.06513410
8 900 001 - 1 000 000 NOK 489 5.1% 0.05063684
9 1 000 001 - 1 300 000 NOK 599 6.2% 0.06202754
10 More than 1 300 000 NOK 461 4.8% 0.04773739
97 Not answered 180 1.9% 0.01863933
98 Not asked 838 NA
Sysmiss 1020 NA


c30_bginc_v2_source


Variable label: Source for c30_bginc_v2
Technical attributes: [Question type: -] [Format:character] [Valid:10495] [Invalid:1020] [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:11361] [Invalid:154] [Range:1-6]

Value Label Cases Percentage
1 State, county or municipal administration 1304 12.9% 0.1294421283
2 Other public sector (e.g. school and health services) 3008 29.9% 0.2985904308
3 Publicly owned enterprise 694 6.9% 0.0688902124
4 Private company, commercial 4658 46.2% 0.4623783998
5 Private company, non-profit 355 3.5% 0.0352392297
6 Self-employed 46 0.5% 0.0045662100
7 Other: 0 0.0% 0.0000000000
97 Not answered 9 0.1% 0.0008933889
98 Not asked 1287 NA
Sysmiss 154 NA


c30_bgjsc_source


Variable label: Source for c30_bgjsc
Technical attributes: [Question type: -] [Format:character] [Valid:11361] [Invalid:154] [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:11428] [Invalid:87] [Range:0-99]

Value Label Cases Percentage
0 0 - Left wing 272 2.4% 0.02380743982
1 1 661 5.8% 0.05785557987
2 2 1373 12.0% 0.12017505470
3 3 1581 13.8% 0.13838074398
4 4 1251 10.9% 0.10949671772
5 5 1525 13.3% 0.13347921225
6 6 1182 10.3% 0.10345733042
7 7 1476 12.9% 0.12919037199
8 8 1346 11.8% 0.11781181619
9 9 523 4.6% 0.04577680525
10 10 - Right wing 223 2.0% 0.01951859956
97 Not answered 11 0.1% 0.00096280088
98 Not asked 3 NA
99 1 0.0% 0.00008752735
Sysmiss 87 NA


c30_bglrs_source


Variable label: Source for c30_bglrs
Technical attributes: [Question type: -] [Format:character] [Valid:11428] [Invalid:87] [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:11515] [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 11515 NA


c30_bgrel_source


Variable label: Source for c30_bgrel
Technical attributes: [Question type: -] [Format:character] [Valid:0] [Invalid:11515] [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:11394] [Invalid:121] [Range:1-6]

Value Label Cases Percentage
1 The Church of Norway 6764 60.8% 0.608492263
2 The Catholic Church 119 1.1% 0.010705290
3 Other Christian faiths (Orthodox church, and other christian faiths, e.g. free churches, Anglican church, Pentecostalists, Jehovah's Witnesses, and Mormons) 429 3.9% 0.038593019
4 Other non-Christian religions (The Mosaic faith, eastern religions (e.g. Buddhism, Hinduism, Sikh, Shintoism, Taoism, Confucianism), and others) 78 0.7% 0.007016913
5 Islam 57 0.5% 0.005127744
6 Do not belong to any religion or religious denominations 3606 32.4% 0.324397265
97 Not answered 63 0.6% 0.005667506
98 Not asked 278 NA
Sysmiss 121 NA


c30_bgrel_recode_source


Variable label: Source for c30_bgrel_recode
Technical attributes: [Question type: -] [Format:character] [Valid:11394] [Invalid:121] [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:11341] [Invalid:174] [Range:1-8]

Value Label Cases Percentage
1 Approximately every day 2 0.0% 0.0003189284
2 More than once a week 71 1.1% 0.0113219582
3 Approximately once a week 120 1.9% 0.0191357040
4 Once or a few times a month 223 3.6% 0.0355605167
5 Several times a year 585 9.3% 0.0932865572
6 Once 780 12.4% 0.1243820762
7 I attend religious meetings less than once a year 1101 17.6% 0.1755700845
8 I never attend religious meetings 3326 53.0% 0.5303779302
97 Not answered 63 1.0% 0.0100462446
98 Not asked 5070 NA
Sysmiss 174 NA


c30_bgrem2_source


Variable label: Source for c30_bgrem2
Technical attributes: [Question type: -] [Format:character] [Valid:11341] [Invalid:174] [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:9286] [Invalid:2229] [Range:-]

Value Label Cases Percentage
3 Oslo 981 10.6% 0.10564290
11 Rogaland 875 9.4% 0.09422787
15 Møre og Romsdal 537 5.8% 0.05782899
18 Nordland 547 5.9% 0.05890588
31 Østfold 428 4.6% 0.04609089
32 Akershus 1035 11.1% 0.11145811
33 Buskerud 399 4.3% 0.04296791
34 Innlandet 653 7.0% 0.07032091
39 Vestfold 423 4.6% 0.04555244
40 Telemark 284 3.1% 0.03058367
42 Agder 493 5.3% 0.05309067
46 Vestland 1393 15.0% 0.15001077
50 Trøndelag 798 8.6% 0.08593582
55 Troms - Romsa - Tromssa 319 3.4% 0.03435279
56 Finnmark - Finnmárku - Finmarkku 121 1.3% 0.01303037
Sysmiss 2229 NA


c30_bgupc_source


Variable label: Source for c30_bgupc
Technical attributes: [Question type: -] [Format:character] [Valid:9286] [Invalid:2229] [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:11462] [Invalid:53] [Range:1-5]

Value Label Cases Percentage
1 A city 2921 25.6% 0.255533199
2 A suburb or the outskirts of a city 2340 20.5% 0.204706500
3 A small or medium sized town 3210 28.1% 0.280815327
4 A village 1705 14.9% 0.149155804
5 A sparsely inhabited area 1219 10.7% 0.106639839
97 Not answered 36 0.3% 0.003149331
98 Not asked 31 NA
Sysmiss 53 NA


c30_bgurb_source


Variable label: Source for c30_bgurb
Technical attributes: [Question type: -] [Format:character] [Valid:11462] [Invalid:53] [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:11434] [Invalid:81] [Range:1-5]

Value Label Cases Percentage
1 Very interested 1767 15.7% 0.157318376
2 Interested 5381 47.9% 0.479077635
3 Somewhat interested 3185 28.4% 0.283564815
4 Not very interested 762 6.8% 0.067841880
5 Not interested at all 119 1.1% 0.010594729
97 Not answered 18 0.2% 0.001602564
98 Not asked 202 NA
Sysmiss 81 NA


c30_pcpin_source


Variable label: Source for c30_pcpin
Technical attributes: [Question type: -] [Format:character] [Valid:11434] [Invalid:81] [Range:-]



c31_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 r31. Most respondents have values from the last year, but it is possible to have values back to r14. You can filter using the source-variabel if you want data from specific waves.

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, r31_pcpar]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:11515] [Invalid:0] [Range:1-13]

Value Label Cases Percentage
1 The Christian Democrats 328 2.8% 0.0284845853
2 The Conservative Party 2344 20.4% 0.2035605732
3 The Progress Party 1732 15.0% 0.1504125054
4 The Liberal Party 783 6.8% 0.0679982631
5 The Socialist Left Party 1516 13.2% 0.1316543639
6 The Centre Party 377 3.3% 0.0327399045
7 The Green Party 540 4.7% 0.0468953539
8 The Labour Party 1766 15.3% 0.1533651759
9 The Red Party 706 6.1% 0.0613113330
10 The Industry and Business Party 228 2.0% 0.0198002605
11 Would not vote 408 3.5% 0.0354320452
12 Would cast a blank vote 178 1.5% 0.0154580981
13 Not entitled to vote 606 5.3% 0.0526270083
14 Other: 0 0.0% 0.0000000000
97 Not answered 3 0.0% 0.0002605297


c31_pcpar_source


Variable label: Source for c31_pcpar
Technical attributes: [Question type: -] [Format:character] [Valid:11515] [Invalid:0] [Range:-]



r27_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: 02.06.2023 - 22.06.2023
Technical description: [Asked if (r27_group = 3)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:7724] [Invalid:3791] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 12 0.8% 0.007936508
2 Agree 37 2.4% 0.024470899
3 Agree somewhat 161 10.6% 0.106481481
4 Neither agree nor disagree 113 7.5% 0.074735450
5 Disagree somewhat 186 12.3% 0.123015873
6 Disagree 478 31.6% 0.316137566
7 Strongly disagree 522 34.5% 0.345238095
97 Not answered 3 0.2% 0.001984127
98 Not asked 6212 NA
Sysmiss 3791 NA


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:7724] [Invalid:3791] [Range:0-1]

Value Label Cases Percentage
1 Selected 1580 20.5% 0.204557224
0 Not selected 6071 78.6% 0.785991714
97 Not answered 73 0.9% 0.009451062
Sysmiss 3791 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:454] [Invalid:11061] [Range:0-5]

Value Label Cases Percentage
0 0 17 3.7% 0.037444934
1 1 291 64.1% 0.640969163
2 2 132 29.1% 0.290748899
3 3 10 2.2% 0.022026432
4 4 3 0.7% 0.006607930
5 5 1 0.2% 0.002202643
Sysmiss 11061 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:528] [Invalid:10987] [Range:0-10]

Value Label Cases Percentage
0 0 18 3.4% 0.034090909
1 1 386 73.1% 0.731060606
2 2 111 21.0% 0.210227273
3 3 11 2.1% 0.020833333
6 6 1 0.2% 0.001893939
10 10 1 0.2% 0.001893939
Sysmiss 10987 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:697] [Invalid:10818] [Range:0-14]

Value Label Cases Percentage
0 0 15 2.2% 0.02152080
1 1 503 72.2% 0.72166428
2 2 159 22.8% 0.22812052
3 3 15 2.2% 0.02152080
4 4 2 0.3% 0.00286944
5 5 2 0.3% 0.00286944
12 12 0 0.0% 0.00000000
14 14 1 0.1% 0.00143472
Sysmiss 10818 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:816] [Invalid:10699] [Range:0-4]

Value Label Cases Percentage
0 0 17 2.1% 0.020833333
1 1 614 75.2% 0.752450980
2 2 172 21.1% 0.210784314
3 3 9 1.1% 0.011029412
4 4 4 0.5% 0.004901961
10 10 0 0.0% 0.000000000
Sysmiss 10699 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:1943] [Invalid:9572] [Range:0-6]

Value Label Cases Percentage
0 0 14 0.7% 0.007205353
1 1 999 51.4% 0.514153371
2 2 710 36.5% 0.365414308
3 3 172 8.9% 0.088522903
4 4 41 2.1% 0.021101390
5 5 6 0.3% 0.003088008
6 6 1 0.1% 0.000514668
8 8 0 0.0% 0.000000000
Sysmiss 9572 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:3377] [Invalid:8138] [Range:0-7]

Value Label Cases Percentage
0 0 11 0.3% 0.003257329
1 1 1034 30.6% 0.306188925
2 2 1506 44.6% 0.445957951
3 3 670 19.8% 0.198400948
4 4 123 3.6% 0.036422861
5 5 23 0.7% 0.006810779
6 6 6 0.2% 0.001776725
7 7 4 0.1% 0.001184483
Sysmiss 8138 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:739] [Invalid:10776] [Range:0-6]

Value Label Cases Percentage
0 0 18 2.4% 0.02435724
1 1 326 44.1% 0.44113667
2 2 294 39.8% 0.39783491
3 3 84 11.4% 0.11366712
4 4 14 1.9% 0.01894452
5 5 2 0.3% 0.00270636
6 6 1 0.1% 0.00135318
Sysmiss 10776 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:8023] [Invalid:3492] [Range:1-17]

Value Label Cases Percentage
1 The Christian Democrats 272 3.4% 0.033902530
2 The Conservative Party 1911 23.8% 0.238190203
3 The Progress Party 553 6.9% 0.068926835
4 The Liberal Party 467 5.8% 0.058207653
5 The Socialist Left Party 823 10.3% 0.102580082
6 The Centre Party 415 5.2% 0.051726287
7 The Green Party 456 5.7% 0.056836595
8 The Labour Party 1571 19.6% 0.195812040
9 The Red Party 389 4.8% 0.048485604
10 People's Party FNB 13 0.2% 0.001620342
11 The Industry and Business Party 261 3.3% 0.032531472
12 A joint party list 17 0.2% 0.002118908
13 A local list 159 2.0% 0.019818023
14 Would cast a blank vote 100 1.2% 0.012464166
15 Did not vote 389 4.8% 0.048485604
16 Not entitled to vote 10 0.1% 0.001246417
17 Other: 184 2.3% 0.022934065
97 Not answered 33 0.4% 0.004113175
Sysmiss 3492 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:8023] [Invalid:3492] [Range:1-17]

Value Label Cases Percentage
1 The Christian Democrats 255 3.2% 0.0317836221
2 The Conservative Party 1839 22.9% 0.2292160040
3 The Progress Party 526 6.6% 0.0655615107
4 The Liberal Party 402 5.0% 0.0501059454
5 The Socialist Left Party 809 10.1% 0.1008350991
6 The Centre Party 402 5.0% 0.0501059454
7 The Green Party 458 5.7% 0.0570858781
8 The Labour Party 1483 18.5% 0.1848435747
9 The Red Party 422 5.3% 0.0525987785
10 People's Party FNB 12 0.1% 0.0014956999
11 The Industry and Business Party 329 4.1% 0.0410071046
12 A joint party list 4 0.0% 0.0004985666
13 A local list 75 0.9% 0.0093481241
14 Would cast a blank vote 130 1.6% 0.0162034152
15 Did not vote 582 7.3% 0.0725414434
16 Not entitled to vote 33 0.4% 0.0041131746
17 Other: 207 2.6% 0.0258008226
97 Not answered 55 0.7% 0.0068552910
Sysmiss 3492 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:8023] [Invalid:3492] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 335 4.2% 0.04175495
2 A high degree 1179 14.7% 0.14695251
3 Some degree 3640 45.4% 0.45369563
4 A low degree 2461 30.7% 0.30674311
5 Not at all 321 4.0% 0.04000997
97 Not answered 87 1.1% 0.01084382
Sysmiss 3492 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:8023] [Invalid:3492] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 1088 13.6% 0.13561012
2 Agree 1762 22.0% 0.21961860
3 Agree somewhat 1982 24.7% 0.24703976
4 Neither agree nor disagree 1333 16.6% 0.16614733
5 Disagree somewhat 788 9.8% 0.09821762
6 Disagree 724 9.0% 0.09024056
7 Strongly disagree 262 3.3% 0.03265611
97 Not answered 84 1.0% 0.01046990
Sysmiss 3492 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:8023] [Invalid:3492] [Range:1-4]

Value Label Cases Percentage
1 I don’t believe that the climate is changing. 58 0.7% 0.007229216
2 I don't know whether the climate is changing or not. 261 3.3% 0.032531472
3 I believe that the climate is changing, but that it is only to a small extent due to human action 1674 20.9% 0.208650131
4 I believe that the climate is changing, and that it is to a large extent due to human action. 5946 74.1% 0.741119282
97 Not answered 84 1.0% 0.010469899
Sysmiss 3492 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:8023] [Invalid:3492] [Range:1-5]

Value Label Cases Percentage
1 Not at all worried 381 4.7% 0.04748847
2 Not very worried 1109 13.8% 0.13822760
3 Somewhat worried 2222 27.7% 0.27695376
4 Worried 2661 33.2% 0.33167144
5 Very worried 1563 19.5% 0.19481491
97 Not answered 87 1.1% 0.01084382
Sysmiss 3492 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:8023] [Invalid:3492] [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. 2519 31.4% 0.31397233
2 In 2025, people should still have the opportunity to purchase new private cars which run on diesel or petrol. 5400 67.3% 0.67306494
97 Not answered 104 1.3% 0.01296273
Sysmiss 3492 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:606] [Invalid:10909] [Range:1-5]

Value Label Cases Percentage
1 a student 25 4.1% 0.041254125
2 unemployed 13 2.1% 0.021452145
3 permanently ill or disabled 78 12.9% 0.128712871
4 retired 489 80.7% 0.806930693
5 a stay-at-home parent or caregiver 1 0.2% 0.001650165
Sysmiss 10909 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:8214] [Invalid:3301] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 435 5.3% 0.052958364
2 A high degree 3383 41.2% 0.411857804
3 Some degree 3071 37.4% 0.373873874
4 A low degree 948 11.5% 0.115412710
5 Not at all 301 3.7% 0.036644753
97 Not answered 76 0.9% 0.009252496
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 146 1.8% 0.017774531
2 A high degree 2463 30.0% 0.299853908
3 Some degree 3692 44.9% 0.449476504
4 A low degree 1465 17.8% 0.178354030
5 Not at all 417 5.1% 0.050766983
97 Not answered 31 0.4% 0.003774044
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-5]

Value Label Cases Percentage
1 A very high degree 367 4.5% 0.044679815
2 A high degree 3346 40.7% 0.407353299
3 Some degree 3281 39.9% 0.399439981
4 A low degree 916 11.2% 0.111516922
5 Not at all 252 3.1% 0.030679328
97 Not answered 52 0.6% 0.006330655
Sysmiss 3301 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:8214] [Invalid:3301] [Range:0-10]

Value Label Cases Percentage
0 0 - Cannot be careful enough 35 0.4% 0.004261018
1 1 66 0.8% 0.008035062
2 2 134 1.6% 0.016313611
3 3 305 3.7% 0.037131726
4 4 320 3.9% 0.038957877
5 5 633 7.7% 0.077063550
6 6 851 10.4% 0.103603604
7 7 2082 25.3% 0.253469686
8 8 2613 31.8% 0.318115413
9 9 887 10.8% 0.107986365
10 10 – Most people can be trusted 262 3.2% 0.031896762
97 Not answered 26 0.3% 0.003165327
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-5]

Value Label Cases Percentage
1 Much safer 58 0.7% 0.007061115
2 Somewhat safer 319 3.9% 0.038836133
3 No change in safety 6027 73.4% 0.733747261
4 Somewhat more unsafe 1624 19.8% 0.197711225
5 Much more unsafe 172 2.1% 0.020939859
97 Not answered 14 0.2% 0.001704407
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 641 7.8% 0.078037497
2 Agree 1920 23.4% 0.233747261
3 Agree somewhat 2621 31.9% 0.319089360
4 Neither agree nor disagree 1020 12.4% 0.124178232
5 Disagree somewhat 1046 12.7% 0.127343560
6 Disagree 641 7.8% 0.078037497
7 Strongly disagree 276 3.4% 0.033601169
97 Not answered 49 0.6% 0.005965425
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-5]

Value Label Cases Percentage
1 Very satisfied 865 10.5% 0.105308011
2 Satisfied 3955 48.1% 0.481495009
3 Somewhat satisfied 2200 26.8% 0.267835403
4 Dissatisfied 898 10.9% 0.109325542
5 Not satisfied at all 282 3.4% 0.034331629
97 Not answered 14 0.2% 0.001704407
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 A very great advantage 291 3.5% 0.035427319
2 A great advantage 1476 18.0% 0.179693207
3 A slight advantage 3509 42.7% 0.427197468
4 Neither an advantage nor a disadvantage 1033 12.6% 0.125760896
5 A slight disadvantage 1232 15.0% 0.149987826
6 A great disadvantage 411 5.0% 0.050036523
7 A very great disadvantage 214 2.6% 0.026053080
97 Not answered 48 0.6% 0.005843682
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 Much easier 116 1.4% 0.014122230
2 Easier 551 6.7% 0.067080594
3 Somewhat easier 1172 14.3% 0.142683224
4 Same as today 3384 41.2% 0.411979547
5 Slightly more difficult 1599 19.5% 0.194667641
6 More difficult 746 9.1% 0.090820550
7 Much more difficult 589 7.2% 0.071706842
97 Not answered 57 0.7% 0.006939372
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 173 2.1% 0.021061602
2 Agree 824 10.0% 0.100316533
3 Agree somewhat 1062 12.9% 0.129291454
4 Neither agree nor disagree 1365 16.6% 0.166179693
5 Disagree somewhat 1126 13.7% 0.137083029
6 Disagree 1626 19.8% 0.197954711
7 Strongly disagree 1987 24.2% 0.241904066
97 Not answered 51 0.6% 0.006208912
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 Very good 361 4.4% 0.043949355
2 Good 2130 25.9% 0.259313367
3 Somewhat good 1939 23.6% 0.236060385
4 Neither good nor bad 946 11.5% 0.115169223
5 Somewhat poor 1633 19.9% 0.198806915
6 Poor 847 10.3% 0.103116630
7 Very poor 286 3.5% 0.034818602
97 Not answered 72 0.9% 0.008765522
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 92 1.1% 0.011200390
2 Really dislike 193 2.3% 0.023496469
3 Dislike somewhat 763 9.3% 0.092890187
4 Neither dislike nor like 2760 33.6% 0.336011687
5 Like somewhat 2278 27.7% 0.277331385
6 Really like 1749 21.3% 0.212929145
7 Intensely like 304 3.7% 0.037009983
97 Not answered 75 0.9% 0.009130752
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 1025 12.5% 0.124786949
2 Agree 2668 32.5% 0.324811298
3 Agree somewhat 2681 32.6% 0.326393962
4 Neither agree nor disagree 910 11.1% 0.110786462
5 Disagree somewhat 555 6.8% 0.067567568
6 Disagree 244 3.0% 0.029705381
7 Strongly disagree 88 1.1% 0.010713416
97 Not answered 43 0.5% 0.005234965
Sysmiss 3301 NA


r29_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: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 333 4.1% 0.040540541
2 Agree 846 10.3% 0.102994887
3 Agree somewhat 1818 22.1% 0.221329438
4 Neither agree nor disagree 814 9.9% 0.099099099
5 Disagree somewhat 1842 22.4% 0.224251278
6 Disagree 1581 19.2% 0.192476260
7 Strongly disagree 941 11.5% 0.114560506
97 Not answered 39 0.5% 0.004747991
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-5]

Value Label Cases Percentage
1 As large as possible 457 5.6% 0.055636718
2 Larger than today 469 5.7% 0.057097638
3 Just as large as today 2783 33.9% 0.338811785
4 Smaller than today 2999 36.5% 0.365108352
5 As small as possible 1458 17.8% 0.177501826
97 Not answered 48 0.6% 0.005843682
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 Very positive 973 11.8% 0.118456294
2 Positive 1398 17.0% 0.170197224
3 Somewhat positive 1216 14.8% 0.148039932
4 Neither positive nor negative 865 10.5% 0.105308011
5 Somewhat negative 1184 14.4% 0.144144144
6 Negative 1296 15.8% 0.157779401
7 Very negative 1242 15.1% 0.151205259
97 Not answered 40 0.5% 0.004869735
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 A very great advantage 1113 13.6% 0.13550037
2 A great advantage 2114 25.7% 0.25736547
3 A slight advantage 2407 29.3% 0.29303628
4 Neither an advantage nor a disadvantage 789 9.6% 0.09605551
5 A slight disadvantage 978 11.9% 0.11906501
6 A great disadvantage 449 5.5% 0.05466277
7 A very great disadvantage 273 3.3% 0.03323594
97 Not answered 91 1.1% 0.01107865
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-2]

Value Label Cases Percentage
1 Norway should continue to be a member of NATO. 7886 96.0% 0.960068176
2 Norway should opt out of NATO. 264 3.2% 0.032140248
97 Not answered 64 0.8% 0.007791575
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-6]

Value Label Cases Percentage
1 Very positively 2420 29.5% 0.294618943
2 Somewhat positively 2863 34.9% 0.348551254
3 Neither positively, nor negatively 1027 12.5% 0.125030436
4 Somewhat negatively 896 10.9% 0.109082055
5 Very negatively 492 6.0% 0.059897736
6 Don't know 459 5.6% 0.055880205
97 Not answered 57 0.7% 0.006939372
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 Very good 887 10.8% 0.107986365
2 Good 3690 44.9% 0.449233017
3 Quite good 1558 19.0% 0.189676163
4 Neither good nor bad 1157 14.1% 0.140857073
5 Quite bad 616 7.5% 0.074993913
6 Bad 222 2.7% 0.027027027
7 Very bad 56 0.7% 0.006817628
97 Not answered 28 0.3% 0.003408814
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 1947 23.7% 0.237034332
2 Agree 2275 27.7% 0.276966155
3 Agree somewhat 1948 23.7% 0.237156075
4 Neither agree nor disagree 843 10.3% 0.102629657
5 Disagree somewhat 648 7.9% 0.078889701
6 Disagree 381 4.6% 0.046384222
7 Strongly disagree 124 1.5% 0.015096177
97 Not answered 48 0.6% 0.005843682
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-5]

Value Label Cases Percentage
1 Much worse than today 54 0.7% 0.006574142
2 Worse than today 1093 13.3% 0.133065498
3 Neither worse nor better than today 5686 69.2% 0.692232773
4 Better than today 1284 15.6% 0.156318481
5 Much better than today 71 0.9% 0.008643779
97 Not answered 26 0.3% 0.003165327
Sysmiss 3301 NA


r29_pcwet


Variable label: Agree/Disagree: The wealth tax should be abolished
Literal question:

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

The wealth tax should be abolished.
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 1190 14.5% 0.144874604
2 Agree 1191 14.5% 0.144996348
3 Agree somewhat 1383 16.8% 0.168371074
4 Neither agree nor disagree 1128 13.7% 0.137326516
5 Disagree somewhat 1157 14.1% 0.140857073
6 Disagree 1401 17.1% 0.170562454
7 Strongly disagree 707 8.6% 0.086072559
97 Not answered 57 0.7% 0.006939372
Sysmiss 3301 NA


r29_pcrew


Variable label: Agree/Disagree: Large gaps in income are necessary in order to reward talent and effort
Literal question:

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

Large differences in people’s incomes are necessary in order to reward talent and effort.
Field period: 15.01.2024 - 05.02.2024
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 146 1.8% 0.017774531
2 Agree 724 8.8% 0.088142196
3 Agree somewhat 2113 25.7% 0.257243730
4 Neither agree nor disagree 748 9.1% 0.091064037
5 Disagree somewhat 1666 20.3% 0.202824446
6 Disagree 1728 21.0% 0.210372535
7 Strongly disagree 1071 13.0% 0.130387144
97 Not answered 18 0.2% 0.002191381
Sysmiss 3301 NA


r29_pccen


Variable label: In general, which of the statements to do agree the most with?
Literal question: Generally speaking, which of the following statements do you agree with the most:
Field period: 15.01.2024 - 05.02.2024
Technical description:

[All respondents asked]

[Answer list display order: Randomized]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:8214] [Invalid:3301] [Range:1-2]

Value Label Cases Percentage
1 There should be larger and fewer public institutions, such as municipalities, hospitals, educational institutions and police districts. 3030 36.9% 0.36888240
2 There should be smaller and more public institutions, such as municipalities, hospitals, educational institutions and police districts. 4994 60.8% 0.60798636
97 Not answered 190 2.3% 0.02313124
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 984 12.0% 0.119795471
2 Really dislike 1498 18.2% 0.182371561
3 Dislike somewhat 1874 22.8% 0.228147066
4 Neither like nor dislike 1973 24.0% 0.240199659
5 Like somewhat 1388 16.9% 0.168979791
6 Really like 335 4.1% 0.040784027
7 Intensely like 90 1.1% 0.010956903
97 Not answered 72 0.9% 0.008765522
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 457 5.6% 0.055636718
2 Really dislike 1175 14.3% 0.143048454
3 Dislike somewhat 1519 18.5% 0.184928171
4 Neither like nor dislike 904 11.0% 0.110056002
5 Like somewhat 1905 23.2% 0.231921110
6 Really like 1629 19.8% 0.198319942
7 Intensely like 561 6.8% 0.068298028
97 Not answered 64 0.8% 0.007791575
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 2186 26.6% 0.266130996
2 Really dislike 1744 21.2% 0.212320429
3 Dislike somewhat 1154 14.0% 0.140491843
4 Neither like nor dislike 732 8.9% 0.089116143
5 Like somewhat 1331 16.2% 0.162040419
6 Really like 727 8.9% 0.088507426
7 Intensely like 272 3.3% 0.033114195
97 Not answered 68 0.8% 0.008278549
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 468 5.7% 0.056975895
2 Really dislike 871 10.6% 0.106038471
3 Dislike somewhat 1577 19.2% 0.191989287
4 Neither like nor dislike 2072 25.2% 0.252252252
5 Like somewhat 2216 27.0% 0.269783297
6 Really like 775 9.4% 0.094351108
7 Intensely like 162 2.0% 0.019722425
97 Not answered 73 0.9% 0.008887266
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 902 11.0% 0.109812515
2 Really dislike 1194 14.5% 0.145361578
3 Dislike somewhat 1268 15.4% 0.154370587
4 Neither like nor dislike 1156 14.1% 0.140735330
5 Like somewhat 1786 21.7% 0.217433650
6 Really like 1332 16.2% 0.162162162
7 Intensely like 495 6.0% 0.060262966
97 Not answered 81 1.0% 0.009861213
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 997 12.1% 0.121378135
2 Really dislike 1641 20.0% 0.199780862
3 Dislike somewhat 2019 24.6% 0.245799854
4 Neither like nor dislike 1604 19.5% 0.195276357
5 Like somewhat 1480 18.0% 0.180180180
6 Really like 343 4.2% 0.041757974
7 Intensely like 62 0.8% 0.007548089
97 Not answered 68 0.8% 0.008278549
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 1511 18.4% 0.183954224
2 Really dislike 1277 15.5% 0.155466277
3 Dislike somewhat 1343 16.4% 0.163501339
4 Neither like nor dislike 1160 14.1% 0.141222303
5 Like somewhat 1810 22.0% 0.220355491
6 Really like 830 10.1% 0.101046993
7 Intensely like 224 2.7% 0.027270514
97 Not answered 59 0.7% 0.007182859
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 580 7.1% 0.070611152
2 Really dislike 1011 12.3% 0.123082542
3 Dislike somewhat 1512 18.4% 0.184075968
4 Neither like nor dislike 1063 12.9% 0.129413197
5 Like somewhat 2416 29.4% 0.294131970
6 Really like 1353 16.5% 0.164718773
7 Intensely like 221 2.7% 0.026905284
97 Not answered 58 0.7% 0.007061115
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 1608 19.6% 0.195763331
2 Really dislike 1314 16.0% 0.159970782
3 Dislike somewhat 1244 15.1% 0.151448746
4 Neither like nor dislike 1109 13.5% 0.135013392
5 Like somewhat 1748 21.3% 0.212807402
6 Really like 831 10.1% 0.101168736
7 Intensely like 291 3.5% 0.035427319
97 Not answered 69 0.8% 0.008400292
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 592 7.2% 0.072072072
2 Agree 1167 14.2% 0.142074507
3 Agree somewhat 1793 21.8% 0.218285853
4 Neither agree nor disagree 889 10.8% 0.108229851
5 Disagree somewhat 1076 13.1% 0.130995861
6 Disagree 1147 14.0% 0.139639640
7 Strongly disagree 1484 18.1% 0.180667154
97 Not answered 66 0.8% 0.008035062
Sysmiss 3301 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:8214] [Invalid:3301] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 1105 13.5% 0.134526418
2 Agree 2172 26.4% 0.264426589
3 Agree somewhat 1992 24.3% 0.242512783
4 Neither agree nor disagree 862 10.5% 0.104942781
5 Disagree somewhat 561 6.8% 0.068298028
6 Disagree 550 6.7% 0.066958851
7 Strongly disagree 900 11.0% 0.109569028
97 Not answered 72 0.9% 0.008765522
Sysmiss 3301 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:9684] [Invalid:1831] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 165 11.4% 0.11379310
2 Agree 335 23.1% 0.23103448
3 Agree somewhat 368 25.4% 0.25379310
4 Neither agree nor disagree 206 14.2% 0.14206897
5 Disagree somewhat 192 13.2% 0.13241379
6 Disagree 122 8.4% 0.08413793
7 Strongly disagree 60 4.1% 0.04137931
97 Not answered 2 0.1% 0.00137931
98 Not asked 8234 NA
Sysmiss 1831 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:9684] [Invalid:1831] [Range:1-7]

Value Label Cases Percentage
1 A very great advantage 66 4.6% 0.045517241
2 A great advantage 261 18.0% 0.180000000
3 A slight advantage 468 32.3% 0.322758621
4 Neither an advantage nor a disadvantage 253 17.4% 0.174482759
5 A slight disadvantage 275 19.0% 0.189655172
6 A great disadvantage 77 5.3% 0.053103448
7 A very great disadvantage 46 3.2% 0.031724138
97 Not answered 4 0.3% 0.002758621
98 Not asked 8234 NA
Sysmiss 1831 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:9684] [Invalid:1831] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 256 17.7% 0.176551724
2 Agree 313 21.6% 0.215862069
3 Agree somewhat 301 20.8% 0.207586207
4 Neither agree nor disagree 340 23.4% 0.234482759
5 Disagree somewhat 81 5.6% 0.055862069
6 Disagree 116 8.0% 0.080000000
7 Strongly disagree 31 2.1% 0.021379310
97 Not answered 12 0.8% 0.008275862
98 Not asked 8234 NA
Sysmiss 1831 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:9684] [Invalid:1831] [Range:1-4]

Value Label Cases Percentage
1 I don’t believe that the climate is changing. 6 0.4% 0.0041379310
2 I don't know whether the climate is changing or not. 49 3.4% 0.0337931034
3 I believe that the climate is changing, but that it is only to a small extent due to human action 247 17.0% 0.1703448276
4 I believe that the climate is changing, and that it is to a large extent due to human action. 1147 79.1% 0.7910344828
97 Not answered 1 0.1% 0.0006896552
98 Not asked 8234 NA
Sysmiss 1831 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:9684] [Invalid:1831] [Range:1-5]

Value Label Cases Percentage
1 Not at all worried 63 4.3% 0.043448276
2 Not very worried 195 13.4% 0.134482759
3 Somewhat worried 394 27.2% 0.271724138
4 Worried 513 35.4% 0.353793103
5 Very worried 282 19.4% 0.194482759
97 Not answered 3 0.2% 0.002068966
98 Not asked 8234 NA
Sysmiss 1831 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:9684] [Invalid:1831] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 61 4.2% 0.042068966
2 Agree 157 10.8% 0.108275862
3 Agree somewhat 287 19.8% 0.197931034
4 Neither agree nor disagree 154 10.6% 0.106206897
5 Disagree somewhat 355 24.5% 0.244827586
6 Disagree 289 19.9% 0.199310345
7 Strongly disagree 142 9.8% 0.097931034
97 Not answered 5 0.3% 0.003448276
98 Not asked 8234 NA
Sysmiss 1831 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:9684] [Invalid:1831] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 370 25.5% 0.255172414
2 Agree 368 25.4% 0.253793103
3 Agree somewhat 330 22.8% 0.227586207
4 Neither agree nor disagree 132 9.1% 0.091034483
5 Disagree somewhat 108 7.4% 0.074482759
6 Disagree 106 7.3% 0.073103448
7 Strongly disagree 31 2.1% 0.021379310
97 Not answered 5 0.3% 0.003448276
98 Not asked 8234 NA
Sysmiss 1831 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:9684] [Invalid:1831] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 21 1.4% 0.014482759
2 Agree 48 3.3% 0.033103448
3 Agree somewhat 121 8.3% 0.083448276
4 Neither agree nor disagree 100 6.9% 0.068965517
5 Disagree somewhat 140 9.7% 0.096551724
6 Disagree 354 24.4% 0.244137931
7 Strongly disagree 661 45.6% 0.455862069
97 Not answered 5 0.3% 0.003448276
98 Not asked 8234 NA
Sysmiss 1831 NA