Codebook

Norwegian Citizen Panel

Round 28

v-104 - 2024-06-27

Produced by ideas2evidence

Citation

Researchers responsible

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

Coordinating team

Name
Erla Løvseth
Sina Storelv
Emilie Midtsæter Strønen

Producers

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

Study Description

Abstract

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

Scope

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

Methodology

Sampling procedure

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

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

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, e) age, and f) phone number. 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://https://surveybanken.sikt.no/en/series/ed271b1c-2595-47e4-8c97-3fcc00f02368. Screenshots of the questions are available on request from DIGSSCORE.

In wave 28, email invitations were sent out on 23rd of October 2023 for softlaunch, and on the 24th of October for the main launch.

An email with reminder was sent out three times; 30th of October, 3rd of November, and 9th 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 last reminder via text message. Panel members without registered phone number were reminded by email.

Wave 28 ended on the 12th of November 2023.

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:

Weight combining gender, age, geography, and two-part education.

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-104	2024-06-27	NA	Revised release of round 28
NA	2024-06-27	c26_bginc	Variable documentation updated
NA	2024-06-27	c26_bgchi	Variable documentation updated
NA	2024-06-27	c27_bgoily_decade	Variable documentation updated
NA	2024-06-26	r28_pcmipo_1_coded1	Variable documentation updated
NA	2024-06-26	r28_pcmipo_2_coded1	Variable documentation updated
NA	2024-06-26	r28_pcmipo_3_coded1	Variable documentation updated
NA	2024-06-26	r28P1	Variable documentation updated
NA	2024-06-26	r28P2	Variable documentation updated
NA	2024-06-26	r28P3	Variable documentation updated
NA	2024-06-26	r28P3_2	Variable documentation updated
NA	2024-06-26	r28P4_1	Variable documentation updated
NA	2024-06-26	r28P4_2	Variable documentation updated
NA	2024-06-26	r28P5_1	Variable documentation updated
NA	2024-06-26	r28P5_2	Variable documentation updated
NA	2024-06-26	r28_Weight4	Variable documentation updated
NA	2024-06-26	r28_Weight4_stratapop	Variable documentation updated
NA	2024-06-26	r28_generic_stratapop	Variable documentation updated
NA	2024-06-18	c26_pcipe	Variable documentation updated
NA	2024-06-18	c26_pcepe	Variable documentation updated
v-103	2024-06-18	NA	Revised release of round 28
NA	2024-06-13	r28_pcldpsv	Variable documentation updated
v-102	2024-03-21	NA	Revised release of round 28
NA	2024-03-20	r28_pcpar_uncoded	Variable documentation updated
NA	2024-03-20	r28_pcvot23m_uncoded	Variable documentation updated
NA	2024-03-20	r28_pcvot23c_uncoded	Variable documentation updated
NA	2024-03-19	r28_pcmipo_1_coded1	Added variable: Coded version of r28_pcmipo_1
NA	2024-03-19	r28_pcmipo_2_coded1	Added variable: Coded version of r28_pcmipo_2
NA	2024-03-19	r28_pcmipo_3_coded1	Added variable: Coded version of r28_pcmipo_3
NA	2024-03-19	r28_pcmipo_1_coded1	Variable documentation inserted
NA	2024-03-19	r28_pcmipo_2_coded1	Variable documentation inserted
NA	2024-03-19	r28_pcmipo_3_coded1	Variable documentation inserted
NA	2024-03-12	r27_bgscp	Updated variable: New versions of r27_bgscp that includes coded other-statements
NA	2024-03-12	r28_pcpar	Updated variable: New versions of r28_pcpar that includes coded other-statements
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_pcpar_uncoded	New variable: Old versions of r28_pcpar without coded other-statements
NA	2024-03-12	r28_pcvot23m_uncoded	New variable: Old versions of r28_pcvot23m without coded other-statements
NA	2024-03-12	r28_pcvot23c_uncoded	New variable: Old versions of r28_pcvot23c without coded other-statements
NA	2024-03-12	r27_bgscp	Variable documentation updated
NA	2024-03-12	r28_pcpar	Variable documentation updated
NA	2024-03-12	r28_pcvot23m	Variable documentation updated
NA	2024-03-12	r28_pcvot23c	Variable documentation updated
NA	2024-03-12	r28_pcpar_uncoded	Variable documentation inserted
NA	2024-03-12	r28_pcvot23m_uncoded	Variable documentation inserted
NA	2024-03-12	r28_pcvot23c_uncoded	Variable documentation inserted
NA	2024-02-05	r28_pcldpx_1	Renamed to r28_pcldpx
NA	2024-01-23	r28_advancedwifeaturesenabled	Variable documentation updated
NA	2024-01-23	r28_cemda	Variable documentation updated
NA	2024-01-23	r28_cevap	Variable documentation updated
NA	2024-01-23	r28_dmaiax	Variable documentation updated
NA	2024-01-23	r28_dmaiox	Variable documentation updated
NA	2024-01-23	r28_dmaiw	Variable documentation updated
NA	2024-01-23	r28_dmwsdx1	Variable documentation updated
NA	2024-01-23	r28_dmwsdx2	Variable documentation updated
NA	2024-01-23	r28_dvianx1	Variable documentation updated
NA	2024-01-23	r28_dvianx2	Variable documentation updated
NA	2024-01-23	r28_dvianx2_navn1	Variable documentation updated
NA	2024-01-23	r28_dvianx2_navn2	Variable documentation updated
NA	2024-01-23	r28_dvnei	Variable documentation updated
NA	2024-01-23	r28_dvtcn_1	Variable documentation updated
NA	2024-01-23	r28_dvtcn_2	Variable documentation updated
NA	2024-01-23	r28_dvtcn_3	Variable documentation updated
NA	2024-01-23	r28_dvtevx1	Variable documentation updated
NA	2024-01-23	r28_facoc	Variable documentation updated
NA	2024-01-23	r28_faccm	Variable documentation updated
NA	2024-01-23	r28_faroc	Variable documentation updated
NA	2024-01-23	r28_heanwx	Variable documentation updated
NA	2024-01-23	r28_interview_end	Variable documentation updated
NA	2024-01-23	r28_mobil	Variable documentation updated
NA	2024-01-23	r28_pcvot23m	Variable documentation updated
NA	2024-01-23	r28_pcvot23m_17_other	Variable documentation updated
NA	2024-01-23	r28_pcldpx_1	Variable documentation updated
NA	2024-01-23	r28_ponbix_1	Variable documentation updated
NA	2024-01-23	r28_ponbix_2	Variable documentation updated
NA	2024-01-23	r28_ponbix_3	Variable documentation updated
NA	2024-01-23	r28_ponbrx_1	Variable documentation updated
NA	2024-01-23	r28_ponbrx_2	Variable documentation updated
NA	2024-01-23	r28_ponbrx_3	Variable documentation updated
NA	2024-01-23	r28_wfdmfx	Variable documentation updated
NA	2024-01-23	r28P4_1	Variable documentation updated
NA	2024-01-23	r28P4_2	Variable documentation updated
NA	2024-01-23	r28P5_1	Variable documentation updated
NA	2024-01-23	r28P5_2	Variable documentation updated
NA	2024-01-23	r28_dmaiax_pipe2	Variable documentation updated
NA	2024-01-23	r28_wfdmfx_pipe	Variable documentation updated
NA	2024-01-23	r28_wfdmfx_ran1	Variable documentation updated
NA	2024-01-23	r28_wfdmfx_ran2	Variable documentation updated
NA	2024-01-23	r28_ponbtx_ran1	Variable documentation updated
NA	2024-01-23	r28_ponbrx_ponbix_order_1	Variable documentation inserted
NA	2024-01-23	r28_ponbrx_ponbix_order_2	Variable documentation inserted
v-101	2023-12-07	NA	Revised release of round 28
v-100	2023-11-24	NA	Initial release of round 28
NA	2023-08-31	r27_pcoil	Variable documentation updated
NA	2023-08-30	r27_pcoil	Variable documentation updated
NA	2023-08-30	r27_bgscp	Variable documentation updated
NA	2023-08-30	r27_pcecr	Variable documentation updated
NA	2023-06-27	r25_pcsaf	Variable documentation updated
NA	2023-06-27	r26_pcsaf	Variable documentation updated
NA	2023-06-27	r26_pcoil	Variable documentation updated
NA	2023-05-15	r26_pcoil	Corrected documentation
NA	2023-05-15	r26_pcecr	Corrected documentation
NA	2023-05-15	r26_pcsaf	Corrected documentation

Dataset contents

File name	Norwegian Citizen Panel - round 28 - v-104-O.sav
Distribution type	Public
# Cases	10242
# Variables	473

Variable Documentation

responseid

Variable label:	responseid
Technical attributes:	[Question type: -] [Format:character] [Valid:10242] [Invalid:0] [Range:-]

r28_rekruttert

Variable label:	The wave the respondent was recruited
Field period:	23.10.2023 - 12.11.2023
Technical description:	The wave the respondent was recruited
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-25]

Value	Label	Cases	Percentage
1	Wave 1	1223	11.9%	0.11941027
3	Wave 3	1313	12.8%	0.12819762
8	Wave 8	1259	12.3%	0.12292521
11	Wave 11	661	6.5%	0.06453818
14	Wave 14	668	6.5%	0.06522164
16	Wave 16	1892	18.5%	0.18472955
18	Wave 18	715	7.0%	0.06981058
22	Wave 22	1344	13.1%	0.13122437
25	Wave 25	1167	11.4%	0.11394259

r28_interview_start

Variable label:	[Date and time of when the respondent first opened the questionnaire. Excel-format.]
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Date and time of when the respondent first opened the questionnaire. Excel-format.]
Technical attributes:	[Question type: -] [Format:character] [Valid:10242] [Invalid:0] [Range:-]

r28_interview_end

Variable label:	[Date and time of when the respondent completed the questionnaire. Excel-format.]
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Date and time of when the respondent completed the questionnaire. Excel-format.]
Technical attributes:	[Question type: -] [Format:character] [Valid:8929] [Invalid:1313] [Range:-]

r28_browsertype

Variable label:	Browertype used by respondent
Field period:	23.10.2023 - 12.11.2023
Technical description:	Browertype used by respondent
Technical attributes:	[Question type:Open] [Format:character] [Valid:10242] [Invalid:0] [Range:-]

r28_browserversion

Variable label:	Browser version used by respondent
Field period:	23.10.2023 - 12.11.2023
Technical description:	Browser version used by respondent
Technical attributes:	[Question type:Open] [Format:character] [Valid:10242] [Invalid:0] [Range:-]

r28_mobil

Variable label:	Determines if the respondents uses mobile/tablet
Field period:	23.10.2023 - 12.11.2023
Technical description:	Determines if the respondents uses mobile/tablet
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
0	Other	4966	48.5%	0.4848662
1	Mobile	5276	51.5%	0.5151338

r28_opplosning

Variable label:	Screen resolution of the applied device
Field period:	23.10.2023 - 12.11.2023
Technical description:	Screen resolution of the applied device
Technical attributes:	[Question type:Open] [Format:character] [Valid:10242] [Invalid:0] [Range:-]

r28_enhetstype

Variable label:	Determines respondents device type
Field period:	23.10.2023 - 12.11.2023
Technical description:	Determines respondents device type
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-3]

Value	Label	Cases	Percentage
1	PC	4966	48.5%	0.484866237
2	Touch	5224	51.0%	0.510056630
3	Generic	52	0.5%	0.005077133

r28_advancedwifeaturesenabled

Variable label:	[If web browser supports Advanced WI Features.]
Field period:	23.10.2023 - 12.11.2023
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:10242] [Invalid:0] [Range:-]

r28_getrenderingmode

Variable label:	Detects the browsers rendering mode
Field period:	23.10.2023 - 12.11.2023
Technical description:	Detects the browsers rendering mode
Technical attributes:	[Question type:Open] [Format:character] [Valid:10242] [Invalid:0] [Range:-]

r28_group

Variable label:	Subgroup for wave 28.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized for all respondents]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Group 1	2018	19.7%	0.1970318
2	Group 2	2110	20.6%	0.2060145
3	Group 3	1966	19.2%	0.1919547
4	Group 4	2131	20.8%	0.2080648
5	Group 5	2017	19.7%	0.1969342

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very satisfied	113	1.1%	0.011033001
2	Satisfied	1966	19.2%	0.191954696
3	Somewhat satisfied	3692	36.0%	0.360476469
4	Dissatisfied	3128	30.5%	0.305409100
5	Not satisfied at all	1315	12.8%	0.128392892
97	Not answered	28	0.3%	0.002733841

r28_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:	23.10.2023 - 12.11.2023
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:numeric] [Valid:10242] [Invalid:0] [Range:1-13]

Value	Label	Cases	Percentage
1	The Christian Democrats	329	3.2%	0.032122632
2	The Conservative Party	2493	24.3%	0.243409490
3	The Progress Party	891	8.7%	0.086994728
4	The Liberal Party	633	6.2%	0.061804335
5	The Socialist Left Party	1332	13.0%	0.130052724
6	The Centre Party	366	3.6%	0.035735208
7	The Green Party	478	4.7%	0.046670572
8	The Labour Party	1745	17.0%	0.170376880
9	The Red Party	648	6.3%	0.063268893
10	Would not vote	178	1.7%	0.017379418
11	Would cast a blank vote	367	3.6%	0.035832845
12	Not entitled to vote	166	1.6%	0.016207772
13	Other:	592	5.8%	0.057801211
97	Not answered	24	0.2%	0.002343292

r28_pcpar_13_other

Variable label:	Other: Would vote for which party if there were a parliamentary election tomorrow
Pre-question text:	Which party would you vote for if there were a parliamentary election tomorrow?
Literal question:	Other:
Field period:	23.10.2023 - 12.11.2023
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:10242] [Range:-]

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1, 3, 5)] [Displayed on the same page with [r28_pcmipo_2] and [r28_pcmipo_3]] [Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes:	[Question type:Open Text List] [Format:character] [Valid:0] [Invalid:10242] [Range:-]

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1, 3, 5)] [Displayed on the same page with [r28_pcmipo_1] and [r28_pcmipo_3]] [Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes:	[Question type:Open Text List] [Format:character] [Valid:0] [Invalid:10242] [Range:-]

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1, 3, 5)] [Displayed on the same page with [r28_pcmipo_1] and [r28_pcmipo_2]] [Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes:	[Question type:Open Text List] [Format:character] [Valid:0] [Invalid:10242] [Range:-]

r28_cemda

Variable label:	To what extent do you feel a moral obligation to make climate-friendly choices in everyday life?
Literal question:	To what extent do you feel a moral obligation to make climate-friendly choices in everyday life?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-6]

Value	Label	Cases	Percentage
1	A very high degree	223	10.5%	0.104645706
2	A high degree	804	37.7%	0.377287658
3	Some degree	901	42.3%	0.422806194
4	A low degree	130	6.1%	0.061004223
5	Not at all	56	2.6%	0.026278742
6	Don't know	11	0.5%	0.005161896
97	Not answered	6	0.3%	0.002815580
98	Not asked	8111		NA

r28_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 following Norwegian political parties.
Literal question:	The Christian Democratic Party
Post-question:	Click on your desired answer
Field period:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Intensely dislike	1221	11.9%	0.119214997
2	Really dislike	1770	17.3%	0.172817809
3	Dislike somewhat	2281	22.3%	0.222710408
4	Neither dislike nor like	2529	24.7%	0.246924429
5	Like somewhat	1774	17.3%	0.173208358
6	Really like	442	4.3%	0.043155634
7	Intensely like	126	1.2%	0.012302285
97	Not answered	99	1.0%	0.009666081

r28_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 following Norwegian political parties.
Literal question:	The Conservative Party
Post-question:	Click on your desired answer
Field period:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Intensely dislike	636	6.2%	0.062097247
2	Really dislike	1455	14.2%	0.142062097
3	Dislike somewhat	1759	17.2%	0.171743800
4	Neither dislike nor like	1109	10.8%	0.108279633
5	Like somewhat	2356	23.0%	0.230033197
6	Really like	2119	20.7%	0.206893185
7	Intensely like	726	7.1%	0.070884593
97	Not answered	82	0.8%	0.008006249

r28_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 following Norwegian political parties.
Literal question:	The Progress Party
Post-question:	Click on your desired answer
Field period:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Intensely dislike	2743	26.8%	0.267818785
2	Really dislike	2036	19.9%	0.198789299
3	Dislike somewhat	1390	13.6%	0.135715681
4	Neither dislike nor like	993	9.7%	0.096953720
5	Like somewhat	1692	16.5%	0.165202109
6	Really like	930	9.1%	0.090802578
7	Intensely like	375	3.7%	0.036613943
97	Not answered	83	0.8%	0.008103886

r28_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 following Norwegian political parties.
Literal question:	The Liberal Party
Post-question:	Click on your desired answer
Field period:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Intensely dislike	556	5.4%	0.054286272
2	Really dislike	1069	10.4%	0.104374146
3	Dislike somewhat	1841	18.0%	0.179750049
4	Neither dislike nor like	2739	26.7%	0.267428237
5	Like somewhat	2751	26.9%	0.268599883
6	Really like	958	9.4%	0.093536419
7	Intensely like	227	2.2%	0.022163640
97	Not answered	101	1.0%	0.009861355

r28_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 following Norwegian political parties.
Literal question:	The Socialist Left Party
Post-question:	Click on your desired answer
Field period:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Intensely dislike	1093	10.7%	0.106717438
2	Really dislike	1453	14.2%	0.141866823
3	Dislike somewhat	1568	15.3%	0.153095099
4	Neither dislike nor like	1575	15.4%	0.153778559
5	Like somewhat	2198	21.5%	0.214606522
6	Really like	1652	16.1%	0.161296622
7	Intensely like	609	5.9%	0.059461043
97	Not answered	94	0.9%	0.009177895

r28_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 following Norwegian political parties.
Literal question:	The Centre Party
Post-question:	Click on your desired answer
Field period:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Intensely dislike	1129	11.0%	0.110232376
2	Really dislike	1920	18.7%	0.187463386
3	Dislike somewhat	2500	24.4%	0.244092951
4	Neither dislike nor like	2080	20.3%	0.203085335
5	Like somewhat	1977	19.3%	0.193028705
6	Really like	474	4.6%	0.046280023
7	Intensely like	65	0.6%	0.006346417
97	Not answered	97	0.9%	0.009470806

r28_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 following Norwegian political parties.
Literal question:	The Green Party
Post-question:	Click on your desired answer
Field period:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Intensely dislike	1842	18.0%	0.179847686
2	Really dislike	1579	15.4%	0.154169108
3	Dislike somewhat	1658	16.2%	0.161882445
4	Neither dislike nor like	1501	14.7%	0.146553408
5	Like somewhat	2241	21.9%	0.218804921
6	Really like	1042	10.2%	0.101737942
7	Intensely like	279	2.7%	0.027240773
97	Not answered	100	1.0%	0.009763718

r28_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 following Norwegian political parties.
Literal question:	The Labour Party
Post-question:	Click on your desired answer
Field period:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Intensely dislike	732	7.1%	0.071470416
2	Really dislike	1237	12.1%	0.120777192
3	Dislike somewhat	1901	18.6%	0.185608280
4	Neither dislike nor like	1268	12.4%	0.123803945
5	Like somewhat	3073	30.0%	0.300039055
6	Really like	1661	16.2%	0.162175356
7	Intensely like	296	2.9%	0.028900605
97	Not answered	74	0.7%	0.007225151

r28_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 following Norwegian political parties.
Literal question:	The Red Party
Post-question:	Click on your desired answer
Field period:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Intensely dislike	1895	18.5%	0.185022457
2	Really dislike	1585	15.5%	0.154754931
3	Dislike somewhat	1534	15.0%	0.149775434
4	Neither dislike nor like	1477	14.4%	0.144210115
5	Like somewhat	2221	21.7%	0.216852177
6	Really like	1062	10.4%	0.103690685
7	Intensely like	372	3.6%	0.036321031
97	Not answered	96	0.9%	0.009373169

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Very good	1049	10.2%	0.102421402
2	Good	3608	35.2%	0.352274946
3	Quite good	2115	20.7%	0.206502636
4	Neither good nor bad	864	8.4%	0.084358524
5	Quite bad	1614	15.8%	0.157586409
6	Bad	751	7.3%	0.073325522
7	Very bad	189	1.8%	0.018453427
97	Not answered	52	0.5%	0.005077133

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	A very high degree	181	1.8%	0.017672330
2	A high degree	2954	28.8%	0.288420230
3	Some degree	4365	42.6%	0.426186292
4	A low degree	2105	20.6%	0.205526264
5	Not at all	593	5.8%	0.057898848
97	Not answered	44	0.4%	0.004296036

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	A very high degree	517	5.0%	0.05047842
2	A high degree	3904	38.1%	0.38117555
3	Some degree	3829	37.4%	0.37385276
4	A low degree	1432	14.0%	0.13981644
5	Not at all	393	3.8%	0.03837141
97	Not answered	167	1.6%	0.01630541

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	A very high degree	537	5.2%	0.052431166
2	A high degree	4229	41.3%	0.412907635
3	Some degree	4024	39.3%	0.392892013
4	A low degree	1060	10.3%	0.103495411
5	Not at all	319	3.1%	0.031146260
97	Not answered	73	0.7%	0.007127514

r28_dmceu

Variable label:	What degree of confidence do you have in the EU?
Literal question:	What degree of confidence do you have in the EU?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	A very high degree	56	2.7%	0.02654028
2	A high degree	550	26.1%	0.26066351
3	Some degree	963	45.6%	0.45639810
4	A low degree	377	17.9%	0.17867299
5	Not at all	153	7.3%	0.07251185
97	Not answered	11	0.5%	0.00521327
98	Not asked	8132		NA

r28_cepprx_1_ran

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_cepprx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 4,5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:4148] [Invalid:6094] [Range:1-3]

Value	Label	Cases	Percentage
1	[r28_cepprx_1_pipe] = 1 & [r28_cepprx_2_pipe] = 1	1401	33.8%	0.3377531
2	[r28_cepprx_1_pipe] = 2 & [r28_cepprx_2_pipe] = 2	1415	34.1%	0.3411283
3	[r28_cepprx_1_pipe] = 3 & [r28_cepprx_2_pipe] = 2	1332	32.1%	0.3211186
Sysmiss		6094		NA

r28_cepprx_1_pipe

Variable label:	Experiment. Selects an element for textpiping in [r28_cepprx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[If [r28_cepprx_1_ran] == 1 the first element is selected. If [r28_cepprx_1_ran] == 2 the second element is selected. If [r28_cepprx_1_ran] == 3 the third element is selected.]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:4148] [Invalid:6094] [Range:1-3]

Value	Label	Cases	Percentage
1	[BLANK]	1401	33.8%	0.3377531
2	One of these is that it could increase the country’s security of supply. This could make Norway less dependent on the European energy market and therefore increase energy independence.	1415	34.1%	0.3411283
3	One of these is that it could strengthen the country’s economy by preventing electricity price increases. This could make Norwegian industry more competitive on the global market.	1332	32.1%	0.3211186
Sysmiss		6094		NA

r28_cepprx_2_pipe

Variable label:	Experiment. Selects an element for textpiping in [r28_cepprx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[If [r28_cepprx_1_ran] == 1 the first element is selected. If [r28_cepprx_1_ran] == 2 \| 3 the second element is selected.]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:4148] [Invalid:6094] [Range:1-2]

Value	Label	Cases	Percentage
1	[BLANK]	1401	33.8%	0.3377531
2	Producing more energy in Norway can be achieved by	2747	66.2%	0.6622469
Sysmiss		6094		NA

r28_cepprx_2_ran

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_cepprx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 4,5) & (r28_cepprx_1_ran = 1)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1401] [Invalid:8841] [Range:1-3]

Value	Label	Cases	Percentage
1	[r28_cepprx_3_pipe] = 1	469	33.5%	0.3347609
2	[r28_cepprx_3_pipe] = 2	470	33.5%	0.3354747
3	[r28_cepprx_3_pipe] = 3	462	33.0%	0.3297645
Sysmiss		8841		NA

r28_cepprx_3_ran

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_cepprx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 4,5) & (r28_cepprx_1_ran = 2, 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:2747] [Invalid:7495] [Range:1-3]

Value	Label	Cases	Percentage
1	[r28_cepprx_3_pipe] = 4	906	33.0%	0.3298143
2	[r28_cepprx_3_pipe] = 5	890	32.4%	0.3239898
3	[r28_cepprx_3_pipe] = 6	951	34.6%	0.3461959
Sysmiss		7495		NA

r28_cepprx_3_pipe

Variable label:	Experiment. Selects an element for textpiping in [r28_cepprx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[If [r28_cepprx_2_ran] == 1 the first element is selected. If [r28_cepprx_2_ran] == 2 the second element is selected. If [r28_cepprx_2_ran] == 3 the third element is selected. If [r28_cepprx_3_ran] == 1 the fourth element is selected. If [r28_cepprx_3_ran] == 2 the fifth element is selected. If [r28_cepprx_3_ran] == 3 the sixth element is selected.]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:4148] [Invalid:6094] [Range:1-6]

Value	Label	Cases	Percentage
1	Developing more offshore wind power on the Norwegian continental shelf, including near the coast, will increase Norway's energy production.	469	11.3%	0.1130665
2	Developing more onshore wind power will increase Norway's energy production.	470	11.3%	0.1133076
3	Developing more hydropower will increase Norway's energy production.	462	11.1%	0.1113790
4	developing more offshore wind power on the Norwegian continental shelf, including near the coast.	906	21.8%	0.2184185
5	developing more onshore wind power.	890	21.5%	0.2145612
6	developing more hydropower.	951	22.9%	0.2292671
Sysmiss		6094		NA

r28_cepprx_4_ran

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_cepprx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 4,5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:4148] [Invalid:6094] [Range:1-2]

Value	Label	Cases	Percentage
1	[r28_cepprx_4_pipe] = 1	2076	50.0%	0.5004822
2	[r28_cepprx_4_pipe] = 2	2072	50.0%	0.4995178
Sysmiss		6094		NA

r28_cepprx_4_pipe

Variable label:	Experiment. Selects an element for textpiping in [r28_cepprx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[If [r28_cepprx_4_ran] == 1 the first element is selected. If [r28_cepprx_4_ran] == 2 the second element is selected.]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:4148] [Invalid:6094] [Range:1-2]

Value	Label	Cases	Percentage
1	[BLANK]	2076	50.0%	0.5004822
2	In addition, this will contribute to the green shift and slow down climate change because more renewable energy is produced.	2072	50.0%	0.4995178
Sysmiss		6094		NA

r28_cepprx_5_pipe

Variable label:	Experiment. Selects an element for textpiping in [r28_cepprx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[If [r28_cepprx_2_ran] == 1 or [r28_cepprx_3_ran] == 1 the first element is selected. If [r28_cepprx_2_ran] == 2 or [r28_cepprx_3_ran] == 2 the second element is selected. If [r28_cepprx_2_ran] == 3 or [r28_cepprx_3_ran] == 3 the third element is selected.]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:4148] [Invalid:6094] [Range:1-3]

Value	Label	Cases	Percentage
1	developing more offshore wind power on the Norwegian continental shelf	1375	33.1%	0.3314851
2	developing more onshore wind power	1360	32.8%	0.3278689
3	developing more hydropower	1413	34.1%	0.3406461
Sysmiss		6094		NA

r28_cepprx

Variable label:	Opinion on energy in Norway
Literal question:	We would like to have your opinion on energy in Norway. Producing more energy in Norway can have many benefits. [r28_cepprx_1_pipe] [r28_cepprx_2_pipe] [r28_cepprx_3_pipe] [r28_cepprx_4_pipe] To what extent are you for or against this [r28_cepprx_5_pipe]?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4,5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly for	607	14.6%	0.1463355834
2	For	1221	29.4%	0.2943587271
3	Somewhat for	1053	25.4%	0.2538572806
4	Neither for nor against	287	6.9%	0.0691899711
5	Somewhat against	389	9.4%	0.0937801350
6	Against	289	7.0%	0.0696721311
7	Strongly against	300	7.2%	0.0723240116
97	Not answered	2	0.0%	0.0004821601
98	Not asked	6094		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:10242] [Invalid:0] [Range:1-17]

Value	Label	Cases	Percentage
1	The Christian Democrats	345	3.4%	0.033684827
2	The Conservative Party	2405	23.5%	0.234817418
3	The Progress Party	711	6.9%	0.069420035
4	The Liberal Party	597	5.8%	0.058289397
5	The Socialist Left Party	1032	10.1%	0.100761570
6	The Centre Party	532	5.2%	0.051942980
7	The Green Party	585	5.7%	0.057117750
8	The Labour Party	2003	19.6%	0.195567272
9	The Red Party	480	4.7%	0.046865847
10	People's Party FNB	13	0.1%	0.001269283
11	The Industry and Business Party	316	3.1%	0.030853349
12	A joint party list	20	0.2%	0.001952744
13	A local list	204	2.0%	0.019917985
14	Would cast a blank vote	140	1.4%	0.013669205
15	Did not vote	571	5.6%	0.055750830
16	Not entitled to vote	16	0.2%	0.001562195
17	Other:	229	2.2%	0.022358914
97	Not answered	43	0.4%	0.004198399

r28_pcvot23m_17_other

Variable label:	Open: Which political party/party list did you vote for in the municipal elections this autumn? Other:
Pre-question text:	Which political party/party list did you vote for in the municipal elections this autumn?
Literal question:	Other:
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.] [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:10242] [Range:-]

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:10242] [Invalid:0] [Range:1-17]

Value	Label	Cases	Percentage
1	The Christian Democrats	326	3.2%	0.0318297208
2	The Conservative Party	2320	22.7%	0.2265182582
3	The Progress Party	676	6.6%	0.0660027338
4	The Liberal Party	512	5.0%	0.0499902363
5	The Socialist Left Party	989	9.7%	0.0965631713
6	The Centre Party	518	5.1%	0.0505760594
7	The Green Party	581	5.7%	0.0567272017
8	The Labour Party	1902	18.6%	0.1857059168
9	The Red Party	523	5.1%	0.0510642453
10	People's Party FNB	16	0.2%	0.0015621949
11	The Industry and Business Party	395	3.9%	0.0385666862
12	A joint party list	5	0.0%	0.0004881859
13	A local list	89	0.9%	0.0086897090
14	Would cast a blank vote	176	1.7%	0.0171841437
15	Did not vote	822	8.0%	0.0802577622
16	Not entitled to vote	45	0.4%	0.0043936731
17	Other:	270	2.6%	0.0263620387
97	Not answered	77	0.8%	0.0075180629

r28_pcvot23c_17_other

Variable label:	Open Which political party/party list did you vote for in the county council election this autumn? Other:
Pre-question text:	Which political party/party list did you vote for in the county council election this autumn?
Literal question:	Other:
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.] [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:10242] [Range:-]

r28_wfconx

Variable label:	What degree of confidence do you have in the Norwegian Labour and Welfare Administration (NAV)?
Literal question:	What degree of confidence do you have in the Norwegian Labour and Welfare Administration (NAV)
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	A very high degree	31	1.5%	0.014691943
2	A high degree	707	33.5%	0.335071090
3	Some degree	1027	48.7%	0.486729858
4	A low degree	283	13.4%	0.134123223
5	Not at all	59	2.8%	0.027962085
97	Not answered	3	0.1%	0.001421801
98	Not asked	8132		NA

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1,2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	A great deal	118	2.9%	0.028585271
2	A lot	615	14.9%	0.148982558
3	A bit	1807	43.8%	0.437742248
4	Not much	1361	33.0%	0.329699612
5	Nothing at all	216	5.2%	0.052325581
97	Not answered	11	0.3%	0.002664729
98	Not asked	6114		NA

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very worried	206	10.2%	0.102081269
2	Worried	483	23.9%	0.239345887
3	Somewhat worried	817	40.5%	0.404856293
4	Not very worried	453	22.4%	0.224479683
5	Not at all worried	49	2.4%	0.024281467
97	Not answered	10	0.5%	0.004955401
98	Not asked	8224		NA

r28_teaip

Variable label:	Do you think that artificial intelligence will mainly be positive or negative for society?
Literal question:	Do you think that artificial intelligence will mainly be positive or negative for society?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Very positive	50	2.5%	0.024777007
2	Positive	339	16.8%	0.167988107
3	Somewhat positive	900	44.6%	0.445986125
4	Neither positive nor negative	243	12.0%	0.120416254
5	Somewhat negative	291	14.4%	0.144202180
6	Negative	139	6.9%	0.068880079
7	Very negative	42	2.1%	0.020812686
97	Not answered	14	0.7%	0.006937562
98	Not asked	8224		NA

r28_wfdmp

Variable label:	Positive/Negative: Offer of dialogue meeting in the Norwegian Labour and Welfare Administration
Literal question:	The Norwegian Labour and Welfare Administration’s goal is to reduce absence due to illness, increase employment and provide the right support. This includes assessing the necessity of dialogue meetings with employees on sick leave. The purpose of a dialogue meeting, which involves the person on sick leave, the employer and the Norwegian Labour and Welfare Administration, is to help the person on sick leave return to work. Imagine that you are on sick leave. If you had been offered a dialogue meeting, do you consider this offer to be something positive or negative for you?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-2]

Value	Label	Cases	Percentage
1	I regard the offer of a dialogue meeting as mainly positive.	1721	85.3%	0.85282458
2	I regard the offer of a dialogue meeting as mainly negative.	273	13.5%	0.13528246
97	Not answered	24	1.2%	0.01189296
98	Not asked	8224		NA

r28_wfdmo

Variable label:	Have you been offered a dialogue meeting with the Norwegian Labour and Welfare Administration before?
Literal question:	Have you been offered a dialogue meeting with the Norwegian Labour and Welfare Administration before?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-2]

Value	Label	Cases	Percentage
1	Yes	456	22.6%	0.225966303
2	No	1548	76.7%	0.767096135
97	Not answered	14	0.7%	0.006937562
98	Not asked	8224		NA

r28_wfdmfx_pipe

Variable label:	Experiment. Selects an element for textpiping in [r28_wfdmfx] based on value in [r28_wfdmfx_ran2].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[If [r28_wfdmfx_ran2] == 1 the first element is selected. If [r28_wfdmfx_ran2] == 2 the second element is selected.]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:2017] [Invalid:8225] [Range:1-2]

Value	Label	Cases	Percentage
1	[BLANK]	986	48.9%	0.4888448
2	The Norwegian Labour and Welfare Administration is considering using machine learning and artificial intelligence to predict the need for follow-up among people on sick leave. This will assist the supervisors in making more precise assessments, which in turn will save the the Norwegian Labour and Welfare Administration, employers and those on sick leave from having to attend unnecessary meetings.	1031	51.1%	0.5111552
Sysmiss		8225		NA

r28_wfdmfx_ran1

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_wfdmfx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 1)] [Answer list display order: Randomized]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:2017] [Invalid:8225] [Range:1-2]

Value	Label	Cases	Percentage
1	invite you to a dialogue meeting	1011	50.1%	0.5012395
2	not invite you to a dialogue meeting	1006	49.9%	0.4987605
Sysmiss		8225		NA

r28_wfdmfx_ran2

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_wfdmfx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 1)] [Answer list display order: Randomized]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:2017] [Invalid:8225] [Range:1-2]

Value	Label	Cases	Percentage
1	[BLANK]	986	48.9%	0.4888448
2	Your supervisor has used artificial intelligence as a tool to make this decision.	1031	51.1%	0.5111552
Sysmiss		8225		NA

r28_wfdmfx

Variable label:	Degree of fairness: Invitation to a dialogue meeting with or without the use of artificial intelligence
Literal question:	With regard to sick leave, many people will experience being followed up by the Norwegian Labour and Welfare Administration during their lifetime. [r28_wfdmfx_pipe] Imagine that you are on sick leave, and the time for a dialogue meeting with the Norwegian Labour and Welfare Administration is approaching. Based on information about your sick leave – including the degree of sick leave, place of residence, occupation, age, diagnosis, doctor and employer – your advisor makes the decision to [r28_wfdmfx_ran1]. [r28_wfdmfx_ran2] How fair does this process seem to you?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very fair	86	4.3%	0.04261645
2	Fair	558	27.7%	0.27651140
3	Somewhat fair	598	29.6%	0.29633300
4	Not very fair	482	23.9%	0.23885035
5	Not fair at all	260	12.9%	0.12884044
97	Not answered	34	1.7%	0.01684836
98	Not asked	8224		NA

r28_wfdmax

Variable label:	Given the process we have described, how willing would you be to accept this decision?
Literal question:	Given the process we have described, how willing would you be to accept this decision?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very willing	103	5.1%	0.05104063
2	Willing	678	33.6%	0.33597621
3	Somewhat willing	574	28.4%	0.28444004
4	Not very willing	451	22.3%	0.22348860
5	Not willing at all	177	8.8%	0.08771060
97	Not answered	35	1.7%	0.01734390
98	Not asked	8224		NA

r28_dvetn_1

Variable label:	Identify as: Norwegian
Pre-question text:	People have different ethnic origins. What do you identify as?
Literal question:	Norwegian
Post-question:	Several answers are possible
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)] [Data withheld due to privacy considerations.]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:0] [Invalid:10242] [Range:-]

r28_dvetn_2

Variable label:	Identify as: Sami
Pre-question text:	People have different ethnic origins. What do you identify as?
Literal question:	Sami
Post-question:	Several answers are possible
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)] [Data withheld due to privacy considerations.]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:0] [Invalid:10242] [Range:-]

r28_dvetn_3

Variable label:	Identify as: Kven/Norwegian Finnish
Pre-question text:	People have different ethnic origins. What do you identify as?
Literal question:	Kven/Norwegian Finnish
Post-question:	Several answers are possible
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)] [Data withheld due to privacy considerations.]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:0] [Invalid:10242] [Range:-]

r28_dvetn_4

Variable label:	Identify as: Forest Finn
Pre-question text:	People have different ethnic origins. What do you identify as?
Literal question:	Forest Finn
Post-question:	Several answers are possible
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)] [Data withheld due to privacy considerations.]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:0] [Invalid:10242] [Range:-]

r28_dvetn_5

Variable label:	Identify as: Other
Pre-question text:	People have different ethnic origins. What do you identify as?
Literal question:	Other
Post-question:	Several answers are possible
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)] [Data withheld due to privacy considerations.]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:0] [Invalid:10242] [Range:-]

r28_dvetn_5_other

Variable label:	Open: Identify as: Other
Pre-question text:	People have different ethnic origins. What do you identify as?
Literal question:	Other
Post-question:	Several answers are possible
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)] [Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes:	[Question type:Multi - Other] [Format:character] [Valid:0] [Invalid:10242] [Range:-]

r28_dvtcn_1

Variable label:	Most people are familiar with the Norwegianisation policy with regard to: Sami people
Pre-question text:	How familiar do you think most people are with the State’s active Norwegianisation policy in respect of the following groups that was pursued up until the 1960s?
Literal question:	Sami people
Post-question:	Several answers are possible
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very familiar	108	5.4%	0.053518335
2	Familiar	504	25.0%	0.249752230
3	Not very familiar	1038	51.4%	0.514370664
4	Not at all familiar	208	10.3%	0.103072349
5	Don't know	148	7.3%	0.073339941
97	Not answered	12	0.6%	0.005946482
98	Not asked	8224		NA

r28_dvtcn_2

Variable label:	Most people are familiar with the Norwegianisation policy with regard to: Kven/Norwegian Finns
Pre-question text:	How familiar do you think most people are with the State’s active Norwegianisation policy in respect of the following groups that was pursued up until the 1960s?
Literal question:	Kven/Norwegian Finns
Post-question:	Several answers are possible
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very familiar	32	1.6%	0.01585728
2	Familiar	149	7.4%	0.07383548
3	Not very familiar	857	42.5%	0.42467790
4	Not at all familiar	763	37.8%	0.37809713
5	Don't know	191	9.5%	0.09464817
97	Not answered	26	1.3%	0.01288404
98	Not asked	8224		NA

r28_dvtcn_3

Variable label:	Most people are familiar with the Norwegianisation policy with regard to: Forest Finns
Pre-question text:	How familiar do you think most people are with the State’s active Norwegianisation policy in respect of the following groups that was pursued up until the 1960s?
Literal question:	Forest Finns
Post-question:	Several answers are possible
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very familiar	23	1.1%	0.01139742
2	Familiar	103	5.1%	0.05104063
3	Not very familiar	710	35.2%	0.35183350
4	Not at all familiar	935	46.3%	0.46333003
5	Don't know	224	11.1%	0.11100099
97	Not answered	23	1.1%	0.01139742
98	Not asked	8224		NA

r28_dvtck

Variable label:	Are you aware that the Storting (the Norwegian parliament) has appointed a special truth and reconciliation commission that has investigated the Norwegianisation policy?
Literal question:	Are you aware that the Storting (the Norwegian parliament) has appointed a special truth and reconciliation commission that has investigated the Norwegianisation policy that targeted Sami, Kven/Norwegian Finn, and Forest Finn people?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-2]

Value	Label	Cases	Percentage
1	Yes	1163	57.6%	0.576313181
2	No	844	41.8%	0.418235877
97	Not answered	11	0.5%	0.005450942
98	Not asked	8224		NA

r28_dvtim

Variable label:	How important do you think the work/the goal of the Stortings Truth and Reconciliation Commission is?
Literal question:	In 2018 the Storting set up a Truth and Reconciliation Commission to investigate historical injustices against the Sami people and three minority groups in Norway (Kvens, Norwegian Finns and Forest Finns). Prior to its establishment, discussions took place both within the Sami, Kven and Norwegian-Finnish communities and there was partisan disagreement about the importance of such a commission. One of the arguments in favour of setting up the commission was that we need more knowledge about Norwegianisation policy and its consequences. One argument against was to leave historical injustices in the past; you have to move on. One of the main tasks of the Truth and Reconciliation Commission is to create reconciliation in Norway between (a) the state and minority groups (Sami, Kvens/Norwegian Finns and Forest Finns), and (b) between these different minority groups and the majority population How important do you think this work/aim is?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very important	515	25.5%	0.255203171
2	Important	937	46.4%	0.464321110
3	Not very important	318	15.8%	0.157581764
4	Not at all important	78	3.9%	0.038652131
5	Don't know	158	7.8%	0.078295342
97	Not answered	12	0.6%	0.005946482
98	Not asked	8224		NA

r28_dvtcm_1

Variable label:	Have you heard, seen or read about the Truth and Reconciliation Committee in the following media: TV
Pre-question text:	The Truth and Reconciliation Commission’s final report was presented to the Storting on 1 June this year by Commission Chair Dagfinn Høybråten. Have you heard, seen or read about this report in the following media:
Literal question:	TV
Post-question:	Several answers are possible
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_dvtck = 1) & (r28_group = 1)]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10242] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	706	60.7%	0.6070507309
0	Not selected	456	39.2%	0.3920894239
97	Not answered	1	0.1%	0.0008598452
98	Not asked	9079		NA

r28_dvtcm_2

Variable label:	Have you heard, seen or read about the Truth and Reconciliation Committee in the following media: Radio
Pre-question text:	The Truth and Reconciliation Commission’s final report was presented to the Storting on 1 June this year by Commission Chair Dagfinn Høybråten. Have you heard, seen or read about this report in the following media:
Literal question:	Radio
Post-question:	Several answers are possible
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_dvtck = 1) & (r28_group = 1)]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10242] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	358	30.8%	0.3078245916
0	Not selected	804	69.1%	0.6913155632
97	Not answered	1	0.1%	0.0008598452
98	Not asked	9079		NA

r28_dvtcm_3

Variable label:	Have you heard, seen or read about the Truth and Reconciliation Committee in the following media: National newspapers (paper newspapers and online newspapers)
Pre-question text:	The Truth and Reconciliation Commission’s final report was presented to the Storting on 1 June this year by Commission Chair Dagfinn Høybråten. Have you heard, seen or read about this report in the following media:
Literal question:	National newspapers (paper newspapers and online newspapers)
Post-question:	Several answers are possible
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_dvtck = 1) & (r28_group = 1)]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10242] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	513	44.1%	0.4411006019
0	Not selected	649	55.8%	0.5580395529
97	Not answered	1	0.1%	0.0008598452
98	Not asked	9079		NA

r28_dvtcm_4

Variable label:	Have you heard, seen or read about the Truth and Reconciliation Committee in the following media: Local newspapers (paper newspapers and online newspapers)
Pre-question text:	The Truth and Reconciliation Commission’s final report was presented to the Storting on 1 June this year by Commission Chair Dagfinn Høybråten. Have you heard, seen or read about this report in the following media:
Literal question:	Local newspapers (paper newspapers and online newspapers)
Post-question:	Several answers are possible
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_dvtck = 1) & (r28_group = 1)]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10242] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	107	9.2%	0.0920034394
0	Not selected	1055	90.7%	0.9071367154
97	Not answered	1	0.1%	0.0008598452
98	Not asked	9079		NA

r28_dvtcm_5

Variable label:	Have you heard, seen or read about the Truth and Reconciliation Committee in the following media: Social media (Facebook, Youtube, etc.)
Pre-question text:	The Truth and Reconciliation Commission’s final report was presented to the Storting on 1 June this year by Commission Chair Dagfinn Høybråten. Have you heard, seen or read about this report in the following media:
Literal question:	Social media (Facebook, Youtube, etc.)
Post-question:	Several answers are possible
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_dvtck = 1) & (r28_group = 1)]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10242] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	89	7.7%	0.0765262253
0	Not selected	1073	92.3%	0.9226139295
97	Not answered	1	0.1%	0.0008598452
98	Not asked	9079		NA

r28_dvtcm_6

Variable label:	Have you heard, seen or read about the Truth and Reconciliation Committee in the following media: Norge lytter (NRK)
Pre-question text:	The Truth and Reconciliation Commission’s final report was presented to the Storting on 1 June this year by Commission Chair Dagfinn Høybråten. Have you heard, seen or read about this report in the following media:
Literal question:	Norge Lytter (NRK)
Post-question:	Several answers are possible
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_dvtck = 1) & (r28_group = 1)]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10242] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	49	4.2%	0.0421324162
0	Not selected	1113	95.7%	0.9570077386
97	Not answered	1	0.1%	0.0008598452
98	Not asked	9079		NA

r28_dvtcm_7

Variable label:	Have you heard, seen or read about the Truth and Reconciliation Committee in the following media: Other sources
Pre-question text:	The Truth and Reconciliation Commission’s final report was presented to the Storting on 1 June this year by Commission Chair Dagfinn Høybråten. Have you heard, seen or read about this report in the following media:
Literal question:	Other sources
Post-question:	Several answers are possible
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_dvtck = 1) & (r28_group = 1)]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10242] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	54	4.6%	0.0464316423
0	Not selected	1108	95.3%	0.9527085125
97	Not answered	1	0.1%	0.0008598452
98	Not asked	9079		NA

r28_dvtcm_8

Variable label:	Have you heard, seen or read about the Truth and Reconciliation Committee in the following media: Don’t remember
Pre-question text:	The Truth and Reconciliation Commission’s final report was presented to the Storting on 1 June this year by Commission Chair Dagfinn Høybråten. Have you heard, seen or read about this report in the following media:
Literal question:	Can’t remember
Post-question:	Several answers are possible
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_dvtck = 1) & (r28_group = 1)]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10242] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	130	11.2%	0.1117798796
0	Not selected	1032	88.7%	0.8873602752
97	Not answered	1	0.1%	0.0008598452
98	Not asked	9079		NA

r28_dvtcm_9

Variable label:	Have you heard, seen or read about the Truth and Reconciliation Committee in the following media: Have not heard, seen, or read about the report
Pre-question text:	The Truth and Reconciliation Commission’s final report was presented to the Storting on 1 June this year by Commission Chair Dagfinn Høybråten. Have you heard, seen or read about this report in the following media:
Literal question:	Have not heard, seen or read about the report
Post-question:	Several answers are possible
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_dvtck = 1) & (r28_group = 1)]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10242] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	156	13.4%	0.1341358555
0	Not selected	1006	86.5%	0.8650042992
97	Not answered	1	0.1%	0.0008598452
98	Not asked	9079		NA

r28_dvtrp_1

Variable label:	High/low degree: The Truth and Reconciliation Commissions final report will contribute towards reconciliation between: the state and minority groups (Sami, Kvens/Norwegian Finns and Forest Finns)?
Pre-question text:	The Truth and Reconciliation Commission’s final report was presented to the Storting on 1 June this year by Commission Chair Dagfinn Høybråten. To what extent do you think the findings and recommendations contained in this report will contribute towards reconcilliation between …
Literal question:	the state and minority groups (Sami, Kvens/Norwegian Finns and Forest Finns)?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-6]

Value	Label	Cases	Percentage
1	A very high degree	11	0.5%	0.005450942
2	A high degree	165	8.2%	0.081764123
3	Some degree	939	46.5%	0.465312190
4	A low degree	436	21.6%	0.216055500
5	Not at all	93	4.6%	0.046085233
6	Don't know	359	17.8%	0.177898910
97	Not answered	15	0.7%	0.007433102
98	Not asked	8224		NA

r28_dvtrp_2

Variable label:	High/low degree: The Truth and Reconciliation Commissions final report will contribute towards reconciliation between: these minority groups and the majority population?
Pre-question text:	The Truth and Reconciliation Commission’s final report was presented to the Storting on 1 June this year by Commission Chair Dagfinn Høybråten. To what extent do you think the findings and recommendations contained in this report will contribute towards reconcilliation between …
Literal question:	these minority groups and the majority population?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-6]

Value	Label	Cases	Percentage
1	A very high degree	10	0.5%	0.004955401
2	A high degree	112	5.6%	0.055500496
3	Some degree	836	41.4%	0.414271556
4	A low degree	522	25.9%	0.258671952
5	Not at all	140	6.9%	0.069375619
6	Don't know	364	18.0%	0.180376611
97	Not answered	34	1.7%	0.016848365
98	Not asked	8224		NA

r28_dvrpp

Variable label:	To what extent do you think the government’s energy policy can prevent reconciliation between the Sámi people and the state?
Literal question:	While the work on the report of the Truth and Reconciliation Commission has been ongoing, the government has adopted policies that have received strong criticism from many Sámi people. This applies in particular to the decisions regarding the construction of a wind farm at Fosen in Trøndelag and the electrification of Equinor’s natural gas reception and processing facility at Melkøya in Troms and Finnmark. Many Sámi people claim that these energy development projects conflict with reindeer husbandry in these areas and therefore also violate the Sámi people’s right to practice their culture. To what extent do you think the government’s energy policy can prevent reconciliation between the Sámi people and the state?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-6]

Value	Label	Cases	Percentage
1	A very high degree	350	17.3%	0.173439049
2	A high degree	616	30.5%	0.305252725
3	Some degree	633	31.4%	0.313676908
4	A low degree	212	10.5%	0.105054509
5	Not at all	76	3.8%	0.037661051
6	Don't know	115	5.7%	0.056987116
97	Not answered	16	0.8%	0.007928642
98	Not asked	8224		NA

r28_cps_ran

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_cpstax] or [r28_cpsubx], dependent of which comes first.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 1)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:2007] [Invalid:8235] [Range:1-6]

Value	Label	Cases	Percentage
1	in a rural part of Norway	351	17.5%	0.1748879
2	in a big city in Norway	322	16.0%	0.1604385
3	in a rural part of Norway that has experienced a decline in the number of jobs and population	326	16.2%	0.1624315
4	in a rural part of Norway that has experienced an increase in the number of jobs and population	316	15.7%	0.1574489
5	in a major city in Norway that has experienced increased poverty and increased house prices	334	16.6%	0.1664175
6	in a major city in Norway that has experienced an increase in well-paid jobs and population	358	17.8%	0.1783757
Sysmiss		8235		NA

r28_cps_ranorder

Variable label:	Experiment. Sets what question which will come first on the page of [r28_cpstax] and [r28_cpsubx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 1)] [Answer list display order: Randomized]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:2007] [Invalid:8235] [Range:1-2]

Value	Label	Cases	Percentage
1	r28_cpstax first	1009	50.3%	0.5027404
2	r28_cpsubx first	998	49.7%	0.4972596
Sysmiss		8235		NA

r28_cpstax

Variable label:	Assess place in Norway compared to others in Norwegian society
Pre-question text:	Imagine a place [r28_cps_ran].
Literal question:	The ladder below shows a division of types of places in Norwegian society. The top rung represents the places with the highest status in Norwegian society, while the bottom rung represents places with the lowest status. After taking this place into consideration [r28_cps_ran], where would you place it on such a ladder?
Post-question:	Mark the rung where you think this place is located compared to other places in Norwegian society. 10 is the highest status. 1 is the lowest status.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)] [Respondents was exposed to a picture of a ladder next to the answer options to illustrate the values to the question. The question was displayed on the same page and in random order with [r28_cpsubx]. [r28_cps_ran] was displayed in the first question on the page.]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-10]

Value	Label	Cases	Percentage
10	10 - Highest status	57	2.8%	0.02824579
9	9	87	4.3%	0.04311199
8	8	256	12.7%	0.12685828
7	7	299	14.8%	0.14816650
6	6	279	13.8%	0.13825570
5	5	302	15.0%	0.14965312
4	4	245	12.1%	0.12140733
3	3	235	11.6%	0.11645193
2	2	80	4.0%	0.03964321
1	1 - Lowest status	40	2.0%	0.01982161
97	Not answered	138	6.8%	0.06838454
98	Not asked	8224		NA

r28_cpsubx

Variable label:	Good/bad proposal: The state should provide additional financial transfers to [r28_cps_ran].
Pre-question text:	Imagine a place [r28_cps_ran].
Literal question:	How good or bad do you think the following statements are? The state should provide additional financial transfers to such places, even if it means smaller transfers to others.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)] [The question was displayed on the same page and in random order with [r28_cpsubx]. [r28_cps_ran] was displayed in the first question on the page.]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Very good	63	3.1%	0.03121903
2	Good	373	18.5%	0.18483647
3	Fairly good	471	23.3%	0.23339941
4	Neither good nor bad	473	23.4%	0.23439049
5	Fairly bad	280	13.9%	0.13875124
6	Bad	210	10.4%	0.10406343
7	Very bad	98	4.9%	0.04856293
97	Not answered	50	2.5%	0.02477701
98	Not asked	8224		NA

r28_dmaiax_ran

Variable label:	Experiment. Randomly selects subgroup for [r28_dmaiax].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:2105] [Invalid:8137] [Range:1-3]

Value	Label	Cases	Percentage
1	Group 1	694	33.0%	0.3296912
2	Group 2	717	34.1%	0.3406176
3	Group 3	694	33.0%	0.3296912
Sysmiss		8137		NA

r28_dmaiax_pipe1

Variable label:	Experiment. Selects an element for textpiping in [r28_dmaiax].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[If [r28_dmaiax_ran] == 1 \| 3 the first element is selected. If [r28_dmaiax_ran] == 2 the second element is selected.]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:2105] [Invalid:8137] [Range:1-2]

Value	Label	Cases	Percentage
1	Imagine that in order to streamline the process and manage to adapt the workload, the case manager uses artificial intelligence.	1388	65.9%	0.6593824
2	[BLANK]	717	34.1%	0.3406176
Sysmiss		8137		NA

r28_dmaiax_pipe2

Variable label:	Experiment. Selects an element for textpiping in [r28_dmaiax].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[If [r28_dmaiax_ran] == 1 \| 3 the first element is selected. If [r28_dmaiax_ran] == 2 the second element is selected.]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:2105] [Invalid:8137] [Range:1-2]

Value	Label	Cases	Percentage
1	the computer	1388	65.9%	0.6593824
2	the case manager	717	34.1%	0.3406176
Sysmiss		8137		NA

r28_dmaiax_pipe3

Variable label:	Experiment. Selects an element for textpiping in [r28_dmaiax].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[If [r28_dmaiax_ran] == 1 the first element is selected. If [r28_dmaiax_ran] == 2 \| 3 the second element is selected.]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:2105] [Invalid:8137] [Range:1-2]

Value	Label	Cases	Percentage
1	If the case manager has used artificial intelligence, the applicant has the right to receive information about the model’s functions and properties, as well as information about the data used to train the model.	694	33.0%	0.3296912
2	[BLANK]	1411	67.0%	0.6703088
Sysmiss		8137		NA

r28_dmaiax

Variable label:	How acceptable is the decision-making process regarding the allocation of financial social assistance
Pre-question text:	Financial social assistance is a temporary benefit you can receive if you are unable to cover necessary expenses yourself. Everyone has the right to apply, but it is the case officer who decides who is entitled to it, based on established criteria. In other words, discretion is required to make the decision. Based on this information, we would like you to answer some questions. The following scenarios are fictitious.
Literal question:	Higher food, electricity and fuel prices, and repeated interest rate increases, have created major financial challenges for many households. The number of people applying for social assistance is skyrocketing.[r28_dmaiax_pipe1] Based on information about necessary expenses, income, opportunities for future income, age, family situation, number of children and health, [r28_dmaiax_pipe2] selects who will have their application for social assistance approved. [r28_dmaiax_pipe3] To what extent do you think that this decision-making process is acceptable?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	A very high degree	64	3.0%	0.030331754
2	A high degree	538	25.5%	0.254976303
3	Some degree	942	44.6%	0.446445498
4	A low degree	378	17.9%	0.179146919
5	Not at all	175	8.3%	0.082938389
97	Not answered	13	0.6%	0.006161137
98	Not asked	8132		NA

r28_dmaiwx_ran

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_dmaiwx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:2102] [Invalid:8140] [Range:1-2]

Value	Label	Cases	Percentage
1	Seeing that the use of artificial intelligence in case processing is in its initial phase, the Norwegian Labour and Welfare Administration has appointed a group of experienced case managers to examine and evaluate a sample of computer decisions.	1037	49.3%	0.4933397
2	[BLANK]	1065	50.7%	0.5066603
Sysmiss		8140		NA

r28_dmaiwx

Variable label:	Willingness to accept a decision on financial social assistance from the Norwegian Labour and Welfare Administration
Pre-question text:	Financial social assistance is a temporary benefit you can receive if you are unable to cover necessary expenses yourself. Everyone has the right to apply, but it is the case officer who decides who is entitled to it, based on established criteria. In other words, discretion is required to make the decision. Based on this information, we would like you to answer some questions. The following scenarios are fictitious.
Literal question:	Imagine that you find yourself in a situation where you had to apply for financial social assistance. The Norwegian Labour and Welfare Administration’s social services office is experiencing great demand, and you are therefore informed that artificial intelligence may be used in the processing of your application. Based on information about necessary expenses, income, opportunities for future income, age, family situation, number of children and health, the computer assesses whether or not you should receive financial support. [r28_dmaiwx_ran] Given the process we have described, how willing would you be to accept the decision from the Norwegian Labour and Welfare Administration?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very willing	89	4.2%	0.04218009
2	Willing	595	28.2%	0.28199052
3	Somewhat willing	790	37.4%	0.37440758
4	Not very willing	460	21.8%	0.21800948
5	Not willing at all	153	7.3%	0.07251185
97	Not answered	23	1.1%	0.01090047
98	Not asked	8132		NA

r28_dmaiox

Variable label:	To what extent are you for or against the use of artificial intelligence in the public sector?
Literal question:	To what extent are you for or against the use of artificial intelligence in the public sector?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Strongly for	111	5.3%	0.05260664
2	For	724	34.3%	0.34312796
3	Neither for nor against	754	35.7%	0.35734597
4	Against	380	18.0%	0.18009479
5	Strongly against	116	5.5%	0.05497630
97	Not answered	25	1.2%	0.01184834
98	Not asked	8132		NA

r28_facoc

Variable label:	What degree of confidence do you have in the child welfare services?
Literal question:	What degree of confidence do you have in the child welfare services?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)] [Displayed in random order with [r28_faccm].]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-6]

Value	Label	Cases	Percentage
1	Huge amount of confidence	80	3.8%	0.037914692
2	Great confidence	698	33.1%	0.330805687
3	Some confidence	878	41.6%	0.416113744
4	Little confidence	230	10.9%	0.109004739
5	No confidence at all	57	2.7%	0.027014218
6	Don't know	152	7.2%	0.072037915
97	Not answered	15	0.7%	0.007109005
98	Not asked	8132		NA

r28_faccm

Variable label:	How much confidence do you think others in Norway have in the child welfare services?
Literal question:	How much confidence do you think others in Norway have in the child welfare services?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)] [Displayed in random order with [r28_facoc].]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-6]

Value	Label	Cases	Percentage
1	I think the majority has a huge amount of confidence in the child welfare services	29	1.4%	0.013744076
2	I think the majority has great confidence in the child welfare services	558	26.4%	0.264454976
3	I think the majority has some confidence in the child welfare services	1050	49.8%	0.497630332
4	I think the majority has little confidence in the child welfare services	327	15.5%	0.154976303
5	I think the majority has no confidence at all in the child welfare services	34	1.6%	0.016113744
6	Don't know	98	4.6%	0.046445498
97	Not answered	14	0.7%	0.006635071
98	Not asked	8132		NA

r28_faroc

Variable label:	If you were worried that a child was in a bad situation at home, would you send a report of concern to the child welfare services?
Literal question:	If you were worried that a child was in a bad situation at home, would you send a report of concern to the child welfare services?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Yes, definitely	487	23.1%	0.230805687
2	Yes, most likely	1182	56.0%	0.560189573
3	No, not likely	238	11.3%	0.112796209
4	No, definitely not	7	0.3%	0.003317536
5	Don't know	177	8.4%	0.083886256
97	Not answered	19	0.9%	0.009004739
98	Not asked	8132		NA

r28_facpi

Variable label:	In your opinion, should emphasis be placed on the wishes of parents or children in situations concerning the extent of contact?
Literal question:	Imagine the following situation: A seven-year-old child is living in foster care due to neglect. The child and parents get to see each other on a regular basis, but the parents now want more contact with the child. The child does not want more contact with the parents. In situations like this, do you think the most emphasis should be placed on what the child wants or the most emphasis on what the parents want?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:0-10]

Value	Label	Cases	Percentage
0	0 - Mostly on the child	389	18.4%	0.184360190
1	1	416	19.7%	0.197156398
2	2	481	22.8%	0.227962085
3	3	373	17.7%	0.176777251
4	4	154	7.3%	0.072985782
5	5	164	7.8%	0.077725118
6	6	46	2.2%	0.021800948
7	7	33	1.6%	0.015639810
8	8	22	1.0%	0.010426540
9	9	3	0.1%	0.001421801
10	10 – Mostly on the parents	4	0.2%	0.001895735
97	Not answered	25	1.2%	0.011848341
98	Not asked	8132		NA

r28_cecar35x_ran

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_cecar35x1].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:2098] [Invalid:8144] [Range:1-2]

Value	Label	Cases	Percentage
1	[BLANK]	1050	50.0%	0.5004766
2	, but the overall cost of owning such cars may increase due to higher fuel, maintenance and insurance prices	1048	50.0%	0.4995234
Sysmiss		8144		NA

r28_cecar35x1

Variable label:	For/against: The EU has decided to ban the sale of new cars that emit CO2 from 2035.
Literal question:	The EU has decided to ban the sale of new cars that emit CO2 from 2035. Used petrol and diesel cars can still be bought and driven after 2035[r28_cecar35x_ran]. To what extent are you for or against this decision?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)] [Displayed on the same page with [r28_cecar35x2].]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-4]

Value	Label	Cases	Percentage
1	Completely for	644	30.5%	0.305213270
2	Somewhat for	618	29.3%	0.292890995
3	Somewhat against	408	19.3%	0.193364929
4	Completely against	421	20.0%	0.199526066
97	Not answered	19	0.9%	0.009004739
98	Not asked	8132		NA

r28_cecar35x2

Variable label:	What do you think: What percentage of Norwegians are in favour of a decision to ban the sale of new cars that emit CO2 from 2035
Literal question:	We ask this exact question to a representative sample of Norwegians. What percentage of them do you think say that they are in favour of this decision?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)] [Displayed on the same page with [r28_cecar35x1]. Respondents answered by using a slider.]
Technical attributes:	[Question type:Numeric] [Format:numeric] [Valid:1946] [Invalid:8296] [Range:0-100]

r28_cecllx_ran

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_cecllx1].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:2095] [Invalid:8147] [Range:1-2]

Value	Label	Cases	Percentage
1	[BLANK]	1057	50.5%	0.5045346
2	. This climate labelling takes into account emissions from all stages of the chain, including food production, transport, packaging, storage and waste management	1038	49.5%	0.4954654
Sysmiss		8147		NA

r28_cecllx1

Variable label:	For/against: climate labelling system for food
Literal question:	The EU is now working on a scheme for climate labelling food that will show that some foods have a higher climate footprint than others[r28_cecllx_ran]. To what extent are you for or against such a food labelling system?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)] [Displayed on the same page with [r28_cecllx2].]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-4]

Value	Label	Cases	Percentage
1	Completely for	826	39.1%	0.39146919
2	Somewhat for	796	37.7%	0.37725118
3	Somewhat against	269	12.7%	0.12748815
4	Completely against	178	8.4%	0.08436019
97	Not answered	41	1.9%	0.01943128
98	Not asked	8132		NA

r28_cecllx2

Variable label:	What do you think: What percentage of Norwegians are in favour of climate labelling systems for food
Literal question:	We ask this exact question to a representative sample of Norwegians. What percentage of them do you think say that they are in favour of such a climate labelling system for food?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)] [Displayed on the same page with [r28_cecllx1]. Respondents answered by using a slider.]
Technical attributes:	[Question type:Numeric] [Format:numeric] [Valid:1961] [Invalid:8281] [Range:1-100]

r28_cemel

Variable label:	Agree/disagree: the electrification of Melkøya
Literal question:	The government has recently decided to electrify the gas plant at Melkøya in Finnmark. This will have the advantage that Norwegian CO2 emissions are reduced by two percent, but the disadvantage is that it will involve the construction of new wind turbines and power lines in nature. To what extent do you agree or disagree with the decision to electrify the plant?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	97	4.6%	0.04597156
2	Agree	257	12.2%	0.12180095
3	Agree somewhat	330	15.6%	0.15639810
4	Neither agree nor disagree	306	14.5%	0.14502370
5	Disagree somewhat	254	12.0%	0.12037915
6	Disagree	330	15.6%	0.15639810
7	Strongly disagree	514	24.4%	0.24360190
97	Not answered	22	1.0%	0.01042654
98	Not asked	8132		NA

r28_cewim

Variable label:	How positive or negative are you to the installation of wind turbines in your municipality?
Literal question:	How positive or negative are you to the installation of wind turbines in your municipality?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Very positive	130	6.6%	0.066124110
2	Positive	340	17.3%	0.172939980
3	Somewhat positive	391	19.9%	0.198880977
4	Neither positive nor negative	232	11.8%	0.118006104
5	Somewhat negative	252	12.8%	0.128179044
6	Negative	267	13.6%	0.135808749
7	Very negative	352	17.9%	0.179043744
97	Not answered	2	0.1%	0.001017294
98	Not asked	8276		NA

r28_dmw_rangroup

Variable label:	Experiment. Randomly selects subgroup for [r28_dmwsdx] and [r28_dmwsax].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1966] [Invalid:8276] [Range:1-2]

Value	Label	Cases	Percentage
1	Group 1 (r28_dmwsdx1, r28_dmwsax1)	956	48.6%	0.4862665
2	Group 2 (r28_dmwsdx2, r28_dmwsax2)	1010	51.4%	0.5137335
Sysmiss		8276		NA

r28_dmwsdx1_ran1

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_dmwsdx1].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3) & (r28_dmw_rangroup = 1)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:956] [Invalid:9286] [Range:1-2]

Value	Label	Cases	Percentage
1	an area you often visit	484	50.6%	0.5062762
2	an area you rarely visit	472	49.4%	0.4937238
Sysmiss		9286		NA

r28_dmwsdx1_ran2

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_dmwsdx1].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3) & (r28_dmw_rangroup = 1)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:956] [Invalid:9286] [Range:1-2]

Value	Label	Cases	Percentage
1	all inhabitants of the municipality	465	48.6%	0.4864017
2	those who live in the area where the wind turbines will be placed	491	51.4%	0.5135983
Sysmiss		9286		NA

r28_dmwsdx1_ran3

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_dmwsdx1].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3) & (r28_dmw_rangroup = 1)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:956] [Invalid:9286] [Range:1-4]

Value	Label	Cases	Percentage
1	20	211	22.1%	0.2207113
2	40	247	25.8%	0.2583682
3	60	239	25.0%	0.2500000
4	80	259	27.1%	0.2709205
Sysmiss		9286		NA

r28_dmwsdx1_ran4

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_dmwsdx1].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3) & (r28_dmw_rangroup = 1)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:956] [Invalid:9286] [Range:1-3]

Value	Label	Cases	Percentage
1	Everyone who responded to the survey is then invited to an open meeting to discuss the matter.	344	36.0%	0.3598326
2	Everyone who responded to the survey is then invited to a closed meeting to discuss the matter.	332	34.7%	0.3472803
3	The municipal council takes the results of the survey into account when considering whether to recommend a development permit.	280	29.3%	0.2928870
Sysmiss		9286		NA

r28_dmwsdx1_pipe

Variable label:	Experiment. Selects element for textpiping in [r28_dmwsdx1] based on [r28_dmwsdx1_ran2].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[If [r28_dmwsdx1_ran2] == 1 the first element is selected. If [r28_dmwsdx1_ran2] == 2 the second element is selected.]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:956] [Invalid:9286] [Range:1-2]

Value	Label	Cases	Percentage
1	inhabitants	465	48.6%	0.4864017
2	those who live in the area of the planned wind turbines	491	51.4%	0.5135983
Sysmiss		9286		NA

r28_dmwsdx1

Variable label:	How democratic is the procedure for deciding on the development of wind power in your municipality (version 1)
Literal question:	Imagine that a developer applies to develop wind power in your municipality. The wind turbines will be established in [r28_dmwsdx1_ran1]. Imagine that your municipality is deciding whether to erect wind turbines, and the municipal council chooses this approach: The municipal council sends out a survey [r28_dmwsdx1_ran2] to find out what they think about the matter. [r28_dmwsdx1_ran3] percent of [r28_dmwsdx1_pipe] answer the survey. [r28_dmwsdx1_ran4] The proposal will then be debated by the municipal council where all the political representatives will have the opportunity to express their opinions on the case. How democratic does this approach seem to you?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3) & (r28_dmw_rangroup = 1)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Highly democratic	124	13.0%	0.129707113
2	Democratic	374	39.1%	0.391213389
3	Somewhat democratic	257	26.9%	0.268828452
4	Not very democratic	145	15.2%	0.151673640
5	Not democratic at all	51	5.3%	0.053347280
97	Not answered	5	0.5%	0.005230126
98	Not asked	9286		NA

r28_dmwsax1_ran1

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_dmwsax1].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3) & (r28_dmw_rangroup = 1)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:953] [Invalid:9289] [Range:1-2]

Value	Label	Cases	Percentage
1	[BLANK]	477	50.1%	0.5005247
2	not	476	49.9%	0.4994753
Sysmiss		9289		NA

r28_dmwsax1_ran2

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_dmwsax1].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3) & (r28_dmw_rangroup = 1)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:953] [Invalid:9289] [Range:1-3]

Value	Label	Cases	Percentage
1	51 percent	335	35.2%	0.3515215
2	55 percent	303	31.8%	0.3179433
3	70 percent	315	33.1%	0.3305352
Sysmiss		9289		NA

r28_dmwsax1_ran3

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_dmwsax1].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3) & (r28_dmw_rangroup = 1)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:953] [Invalid:9289] [Range:1-2]

Value	Label	Cases	Percentage
1	positive	485	50.9%	0.5089192
2	negative	468	49.1%	0.4910808
Sysmiss		9289		NA

r28_dmwsax1

Variable label:	Willingness to accept a decision to develop wind power (version 1)
Literal question:	Finally, the politicians decide to [r28_dmwsax1_ran1] recommend the development of wind power. [r28_dmwsax1_ran2]of those who responded to the survey were [r28_dmwsax1_ran3] about wind turbines. Given the course of events we have described, how willing would you be to accept this decision?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3) & (r28_dmw_rangroup = 1)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very willing	116	12.1%	0.121338912
2	Willing	332	34.7%	0.347280335
3	Somewhat willing	196	20.5%	0.205020921
4	Not very willing	215	22.5%	0.224895397
5	Not willing at all	90	9.4%	0.094142259
97	Not answered	7	0.7%	0.007322176
98	Not asked	9286		NA

r28_dmwsdx2_ran1

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_dmwsdx2].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3) & (r28_dmw_rangroup = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1010] [Invalid:9232] [Range:1-2]

Value	Label	Cases	Percentage
1	an area you often visit	509	50.4%	0.5039604
2	an area you rarely visit	501	49.6%	0.4960396
Sysmiss		9232		NA

r28_dmwsdx2_ran2

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_dmwsdx2].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3) & (r28_dmw_rangroup = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1010] [Invalid:9232] [Range:1-2]

Value	Label	Cases	Percentage
1	all inhabitants of the municipality	488	48.3%	0.4831683
2	those who live in the area where the wind turbines will be placed	522	51.7%	0.5168317
Sysmiss		9232		NA

r28_dmwsdx2_ran3

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_dmwsdx2].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3) & (r28_dmw_rangroup = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1010] [Invalid:9232] [Range:1-4]

Value	Label	Cases	Percentage
1	20	242	24.0%	0.2396040
2	40	259	25.6%	0.2564356
3	60	246	24.4%	0.2435644
4	80	263	26.0%	0.2603960
Sysmiss		9232		NA

r28_dmwsdx2_ran4

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_dmwsdx2].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3) & (r28_dmw_rangroup = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1010] [Invalid:9232] [Range:1-3]

Value	Label	Cases	Percentage
1	Everyone who responded to the survey is then invited to an open meeting to discuss the matter.	329	32.6%	0.3257426
2	Everyone who responded to the survey is then invited to a closed meeting to discuss the matter.	345	34.2%	0.3415842
3	The municipal council takes the results of the survey into account when considering whether to recommend a development permit.	336	33.3%	0.3326733
Sysmiss		9232		NA

r28_dmwsdx2_ran5

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_dmwsdx2].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3) & (r28_dmw_rangroup = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1010] [Invalid:9232] [Range:1-2]

Value	Label	Cases	Percentage
1	[BLANK]	491	48.6%	0.4861386
2	not	519	51.4%	0.5138614
Sysmiss		9232		NA

r28_dmwsdx2_ran6

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_dmwsdx2].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3) & (r28_dmw_rangroup = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1010] [Invalid:9232] [Range:1-3]

Value	Label	Cases	Percentage
1	51 percent	326	32.3%	0.3227723
2	55 percent	363	35.9%	0.3594059
3	70 percent	321	31.8%	0.3178218
Sysmiss		9232		NA

r28_dmwsdx2_ran7

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_dmwsdx2].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3) & (r28_dmw_rangroup = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1010] [Invalid:9232] [Range:1-2]

Value	Label	Cases	Percentage
1	positive	504	49.9%	0.4990099
2	negative	506	50.1%	0.5009901
Sysmiss		9232		NA

r28_dmwsdx2_pipe

Variable label:	Experiment. Selects element for textpiping in [r28_dmwsdx1] based on [r28_dmwsdx2_ran2].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[If [r28_dmwsdx2_ran2] == 1 the first element is selected. If [r28_dmwsdx2_ran2] == 2 the second element is selected.]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1010] [Invalid:9232] [Range:1-2]

Value	Label	Cases	Percentage
1	inhabitants	488	48.3%	0.4831683
2	those who live in the area of the planned wind turbines	522	51.7%	0.5168317
Sysmiss		9232		NA

r28_dmwsdx2

Variable label:	How democratic is the procedure for deciding on the development of wind power in your municipality (version 2)
Literal question:	Imagine that a developer applies to develop wind power in your municipality. The wind turbines will be established in [r28_dmwsdx2_ran1]. Imagine that your municipality is deciding whether to erect wind turbines, and the municipal council chooses this approach: The municipal council sends out a survey [r28_dmwsdx2_ran2] to find out what they think about the matter. [r28_dmwsdx2_ran3] percent of [r28_dmwsdx2_pipe] answer the survey. [r28_dmwsdx2_ran4] The proposal will then be debated by the municipal council where all the political representatives will have the opportunity to express their opinions on the case. Finally, the politicians decide to[r28_dmwsdx2_ran5] recommend the development of wind power. [r28_dmwsdx2_ran6]of those who responded to the survey were [r28_dmwsdx2_ran7] about wind turbines. How democratic does this approach seem to you?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3) & (r28_dmw_rangroup = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Highly democratic	79	7.8%	0.078217822
2	Democratic	349	34.6%	0.345544554
3	Somewhat democratic	289	28.6%	0.286138614
4	Not very democratic	221	21.9%	0.218811881
5	Not democratic at all	67	6.6%	0.066336634
97	Not answered	5	0.5%	0.004950495
98	Not asked	9232		NA

r28_dmwsax2

Variable label:	Willingness to accept a decision to develop wind power (version 2)
Literal question:	Given the course of events we have described, how willing would you be to accept this decision?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3) & (r28_dmw_rangroup = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very willing	76	7.5%	0.075247525
2	Willing	392	38.8%	0.388118812
3	Somewhat willing	238	23.6%	0.235643564
4	Not very willing	231	22.9%	0.228712871
5	Not willing at all	66	6.5%	0.065346535
97	Not answered	7	0.7%	0.006930693
98	Not asked	9232		NA

r28_cpdis

Variable label:	For/against: Norwegian rural municipalities receive about 20 percent more in grants from the state per capita than the national average.
Literal question:	Norwegian rural municipalities receive approximately 20 percent more in grants from the state per capita than the national average. To what extent are you for or against this distribution?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3)] [The question used a built-in tooltip which showed text if one hovered the pointer over it: “The number is from NOU 2020:15 ’ About Norway’”.]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very much for	605	30.8%	0.307731434
2	Somewhat for	774	39.4%	0.393692777
3	Neither for nor against	350	17.8%	0.178026450
4	Somewhat against	180	9.2%	0.091556460
5	Very much against	43	2.2%	0.021871821
97	Not answered	14	0.7%	0.007121058
98	Not asked	8276		NA

r28_cprdix_ran

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_cprdix].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1955] [Invalid:8287] [Range:1-4]

Value	Label	Cases	Percentage
1	achieve a faster reduction in greenhouse gas emissions through, for example, strengthened public transport in cities	449	23.0%	0.2296675
2	combat the growing child poverty in cities	493	25.2%	0.2521739
3	fighting crime in vulnerable urban areas	500	25.6%	0.2557545
4	achieve a more equal distribution of resources between urban and rural areas	513	26.2%	0.2624041
Sysmiss		8287		NA

r28_cprdix

Variable label:	Support/oppose: The government proposes to transfer one percent of the grants from Norwegian rural municipalities to urban municipalities in order to [r28_cprdix_ran].
Literal question:	Imagine that the government proposes to move one percent of the grants from Norwegian rural municipalities to urban municipalities in order to [r28_cprdix_ran]. To what extent do you support or oppose such a distribution?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Support very strongly	128	6.5%	0.065106816
2	Support strongly	261	13.3%	0.132756867
3	Support somewhat	544	27.7%	0.276703967
4	Neither support nor oppose	382	19.4%	0.194303154
5	Oppose somewhat	311	15.8%	0.158189217
6	Oppose strongly	205	10.4%	0.104272635
7	Oppose very strongly	116	5.9%	0.059003052
97	Not answered	19	1.0%	0.009664293
98	Not asked	8276		NA

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 5) and if the respondent lives in a municipality with 10 000 inhabitants]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-3]

Value	Label	Cases	Percentage
1	Yes	1541	87.7%	0.8765642776
2	No	215	12.2%	0.1222980660
3	No, but I plan to do so in the near future	1	0.1%	0.0005688282
97	Not answered	1	0.1%	0.0005688282
98	Not asked	8484		NA

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 5) & (r28_tcdho = 1,3)] [Shown to respondents living in municipalities with 10 000 or more inhabitants. Respondents was showed the different delivery options in a table.]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-3]

Value	Label	Cases	Percentage
1	Alternative 1	1250	81.1%	0.810635538
2	Alternative 2	197	12.8%	0.127756161
3	Alternative 3	88	5.7%	0.057068742
97	Not answered	7	0.5%	0.004539559
98	Not asked	8700		NA

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 5) & (r28_tcdho = 1,3)] [Answer list display order: Randomize]
Technical attributes:	[Question type:Ranking] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-3]

Value	Label	Cases	Percentage
1	Ranked freight costs as number 1	905	58.7%	0.58690013
2	Ranked freight costs as number 2	240	15.6%	0.15564202
3	Ranked freight costs as number 3	152	9.9%	0.09857328
97	Not answered	245	15.9%	0.15888457
98	Not asked	8700		NA

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 5) & (r28_tcdho = 1,3)] [Answer list display order: Randomize]
Technical attributes:	[Question type:Ranking] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-3]

Value	Label	Cases	Percentage
1	Ranked delivery time as number 1	238	15.4%	0.1543450
2	Ranked delivery time as number 2	400	25.9%	0.2594034
3	Ranked delivery time as number 3	470	30.5%	0.3047990
97	Not answered	434	28.1%	0.2814527
98	Not asked	8700		NA

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 5) & (r28_tcdho = 1,3)] [Answer list display order: Randomize]
Technical attributes:	[Question type:Ranking] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-3]

Value	Label	Cases	Percentage
1	Ranked place of delivery as number 1	365	23.7%	0.2367056
2	Ranked place of delivery as number 2	408	26.5%	0.2645914
3	Ranked place of delivery as number 3	401	26.0%	0.2600519
97	Not answered	368	23.9%	0.2386511
98	Not asked	8700		NA

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 5) and if the respondent lives in a municipality with 10 000 inhabitants]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very positive	261	14.8%	0.14846416
2	Somewhat positive	482	27.4%	0.27417520
3	Neither positive nor negative	519	29.5%	0.29522184
4	Somewhat negative	272	15.5%	0.15472127
5	Very negative	180	10.2%	0.10238908
97	Not answered	44	2.5%	0.02502844
98	Not asked	8484		NA

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 5) and if the respondent lives in a municipality with 10 000 inhabitants]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very positive	414	23.5%	0.23549488
2	Somewhat positive	666	37.9%	0.37883959
3	Neither positive nor negative	358	20.4%	0.20364050
4	Somewhat negative	182	10.4%	0.10352673
5	Very negative	94	5.3%	0.05346985
97	Not answered	44	2.5%	0.02502844
98	Not asked	8484		NA

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 5) and if the respondent lives in a municipality with 10 000 inhabitants]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very positive	724	41.2%	0.41183163
2	Somewhat positive	616	35.0%	0.35039818
3	Neither positive nor negative	254	14.4%	0.14448237
4	Somewhat negative	91	5.2%	0.05176337
5	Very negative	50	2.8%	0.02844141
97	Not answered	23	1.3%	0.01308305
98	Not asked	8484		NA

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 5) and if the respondent lives in a municipality with 10 000 inhabitants] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very positive	340	19.3%	0.19340159
2	Somewhat positive	532	30.3%	0.30261661
3	Neither positive nor negative	409	23.3%	0.23265074
4	Somewhat negative	254	14.4%	0.14448237
5	Very negative	188	10.7%	0.10693970
97	Not answered	35	2.0%	0.01990899
98	Not asked	8484		NA

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 5) and if the respondent lives in a municipality with 10 000 inhabitants] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very positive	333	18.9%	0.18941980
2	Somewhat positive	545	31.0%	0.31001138
3	Neither positive nor negative	568	32.3%	0.32309443
4	Somewhat negative	183	10.4%	0.10409556
5	Very negative	89	5.1%	0.05062571
97	Not answered	40	2.3%	0.02275313
98	Not asked	8484		NA

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 5) and if the respondent lives in a municipality with 10 000 inhabitants] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very positive	183	10.4%	0.10409556
2	Somewhat positive	339	19.3%	0.19283276
3	Neither positive nor negative	540	30.7%	0.30716724
4	Somewhat negative	364	20.7%	0.20705347
5	Very negative	299	17.0%	0.17007964
97	Not answered	33	1.9%	0.01877133
98	Not asked	8484		NA

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 5) and if the respondent lives in a municipality with 10 000 inhabitants] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very positive	671	38.2%	0.38168373
2	Somewhat positive	666	37.9%	0.37883959
3	Neither positive nor negative	286	16.3%	0.16268487
4	Somewhat negative	74	4.2%	0.04209329
5	Very negative	33	1.9%	0.01877133
97	Not answered	28	1.6%	0.01592719
98	Not asked	8484		NA

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 5) and if the respondent lives in a municipality with 10 000 inhabitants] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very positive	429	24.4%	0.24402730
2	Somewhat positive	480	27.3%	0.27303754
3	Neither positive nor negative	455	25.9%	0.25881684
4	Somewhat negative	239	13.6%	0.13594994
5	Very negative	124	7.1%	0.07053470
97	Not answered	31	1.8%	0.01763367
98	Not asked	8484		NA

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 5) and if the respondent lives in a municipality with 10 000 inhabitants] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very positive	590	33.6%	0.33560865
2	Somewhat positive	505	28.7%	0.28725825
3	Neither positive nor negative	399	22.7%	0.22696246
4	Somewhat negative	113	6.4%	0.06427759
5	Very negative	121	6.9%	0.06882821
97	Not answered	30	1.7%	0.01706485
98	Not asked	8484		NA

r28_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.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 5) and if the respondent lives in a municipality with 10 000 inhabitants]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	A very high degree	80	4.6%	0.045506257
2	A high degree	205	11.7%	0.116609784
3	Some degree	521	29.6%	0.296359499
4	A low degree	690	39.2%	0.392491468
5	Not at all	247	14.1%	0.140500569
97	Not answered	15	0.9%	0.008532423
98	Not asked	8484		NA

r28_dmppmx_alder1

Variable label:	Experiment. Randomly selects age for candidate A in [r28_dmppmx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3, 4, 5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:6090] [Invalid:4152] [Range:1-3]

Value	Label	Cases	Percentage
1	30 years	2016	33.1%	0.3310345
2	50 years	2086	34.3%	0.3425287
3	70 years	1988	32.6%	0.3264368
Sysmiss		4152		NA

r28_dmppmx_alder2

Variable label:	Experiment. Randomly selects age for candidate b in [r28_dmppmx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3, 4, 5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:6090] [Invalid:4152] [Range:1-3]

Value	Label	Cases	Percentage
1	30 years	2049	33.6%	0.3364532
2	50 years	2049	33.6%	0.3364532
3	70 years	1992	32.7%	0.3270936
Sysmiss		4152		NA

r28_dmppmx_utd1

Variable label:	Experiment. Randomly selects education for candidate A in [r28_dmppx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3, 4, 5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:6090] [Invalid:4152] [Range:1-10]

Value	Label	Cases	Percentage
1	Primary and lower secondary school	597	9.8%	0.09802956
2	Upper secondary school, General studies	595	9.8%	0.09770115
3	Upper secondary school, Vocational studies	612	10.0%	0.10049261
4	Craft training	588	9.7%	0.09655172
5	Two years of higher education	617	10.1%	0.10131363
6	Bachelor's degree from university college	620	10.2%	0.10180624
7	Bachelor's degree from university	614	10.1%	0.10082102
8	Master's degree from university college	655	10.8%	0.10755337
9	Master's degree from university	616	10.1%	0.10114943
10	PhD	576	9.5%	0.09458128
Sysmiss		4152		NA

r28_dmppmx_utd2

Variable label:	Experiment. Randomly selects education for candidate B in [r28_dmppx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3, 4, 5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:6090] [Invalid:4152] [Range:1-10]

Value	Label	Cases	Percentage
1	Primary and lower secondary school	578	9.5%	0.09490969
2	Upper secondary school, General studies	601	9.9%	0.09868637
3	Upper secondary school, Vocational studies	591	9.7%	0.09704433
4	Craft training	650	10.7%	0.10673235
5	Two years of higher education	599	9.8%	0.09835796
6	Bachelor's degree from university college	653	10.7%	0.10722496
7	Bachelor's degree from university	620	10.2%	0.10180624
8	Master's degree from university college	598	9.8%	0.09819376
9	Master's degree from university	601	9.9%	0.09868637
10	PhD	599	9.8%	0.09835796
Sysmiss		4152		NA

r28_dmppmx_kjonn1

Variable label:	Experiment. Randomly selects gender for candidate A in [r28_dmppmx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3, 4, 5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:6090] [Invalid:4152] [Range:1-2]

Value	Label	Cases	Percentage
1	Male	3112	51.1%	0.5110016
2	Female	2978	48.9%	0.4889984
Sysmiss		4152		NA

r28_dmppmx_kjonn2

Variable label:	Experiment. Randomly selects gender for kandidat B in [r28_dmppmx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3, 4, 5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:6090] [Invalid:4152] [Range:1-2]

Value	Label	Cases	Percentage
1	Male	3042	50.0%	0.4995074
2	Female	3048	50.0%	0.5004926
Sysmiss		4152		NA

r28_dmppmx_polerf1

Variable label:	Experiment. Randomly selects political experience for candidate A in [r28_dmppmx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3, 4, 5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:6090] [Invalid:4152] [Range:1-2]

Value	Label	Cases	Percentage
1	Member of the municipal council	3023	49.6%	0.4963875
2	Not a member of the municipal council	3067	50.4%	0.5036125
Sysmiss		4152		NA

r28_dmppmx_polerf2

Variable label:	Experiment. Randomly selects political experience for candidate b in [r28_dmppmx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3, 4, 5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:6090] [Invalid:4152] [Range:1-2]

Value	Label	Cases	Percentage
1	Member of the municipal council	3010	49.4%	0.4942529
2	Not a member of the municipal council	3080	50.6%	0.5057471
Sysmiss		4152		NA

r28_dmppmx_rerandomize

Variable label:	Experiment. Technical details on re-randomisation of r28_dmppmx-variables if it was necessary.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[If there was a necessity to re-randomise information for one of the candidates, the information is stored here.]
Technical attributes:	[Question type:Open] [Format:character] [Valid:6090] [Invalid:4152] [Range:-]

r28_dmppmx_roworder

Variable label:	Experiment. The random order of attributes shown in the table in [r28_dmppmx]. Sets the subject’s rowwise placement, sorted by subject.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[If the first number is 2, it means that subject 1 (age) was displayed in row number 2. If the second number is 4, it means that subject 1 (education) was displayed in row number 4, etc. For the sequential order, sorted by rownumber, see [r28_dmppmx_roworder_seq]. 1 = Age. 2 = Education. 3 = Gender. 4 = Political experience.]
Technical attributes:	[Question type:Open] [Format:character] [Valid:6090] [Invalid:4152] [Range:-]

r28_dmppmx_roworder_seq

Variable label:	Experiment. The random order of attributes shown in the table in [r28_dmppmx]. Sets sequentially, sorted by rownumber.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[The first number in the array tells what category was displayed in the first row, while the next number tells what category was shown in the second row etc. 1 = Age. 2 = Education. 3 = Gender. 4 = Political experience.]
Technical attributes:	[Question type:Open] [Format:character] [Valid:6090] [Invalid:4152] [Range:-]

r28_dmppmx

Variable label:	Which political candidate do you prefer to stand for municipal elections in your municipality?
Literal question:	Now try to envisage two political candidates running for municipal elections in your municipality. They both represent the party you want to vote for. Based on the information below, which of the candidates do you prefer to be elected to the municipal council? Candidate A [r28_dmppmx_alder1] [r28_dmppmx_utd1] [r28_dmppmx_kjonn1] [r28_dmppmx_polerf1] Candidate B [r28_dmppmx_alder2] [r28_dmppmx_utd2] [r28_dmppmx_kjonn2] [r28_dmppmx_polerf2] Based on this information, which candidate do you prefer?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3, 4, 5)] [Respondents was shown the candidate information in a table. Variables listed in question text was shown in random order which is stored in [r28_dmppmx_roworder] and [r28_dmppmx_roworder_seq].]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-2]

Value	Label	Cases	Percentage
1	Candidate A	3052	49.9%	0.49918220
2	Candidate B	2903	47.5%	0.47481191
97	Not answered	159	2.6%	0.02600589
98	Not asked	4128		NA

r28_dmppsx_alder1

Variable label:	Experiment. Randomly selects age for candidate A in [r28_dmppsx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3, 4, 5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:6087] [Invalid:4155] [Range:1-3]

Value	Label	Cases	Percentage
1	30 years	2115	34.7%	0.3474618
2	50 years	2006	33.0%	0.3295548
3	70 years	1966	32.3%	0.3229834
Sysmiss		4155		NA

r28_dmppsx_alder2

Variable label:	Experiment. Randomly selects age for candidate b in [r28_dmppsx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3, 4, 5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:6087] [Invalid:4155] [Range:1-3]

Value	Label	Cases	Percentage
1	30 years	2031	33.4%	0.3336619
2	50 years	2081	34.2%	0.3418761
3	70 years	1975	32.4%	0.3244620
Sysmiss		4155		NA

r28_dmppsx_utd1

Variable label:	Experiment. Randomly selects education for candidate A in [r28_dmppx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3, 4, 5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:6087] [Invalid:4155] [Range:1-10]

Value	Label	Cases	Percentage
1	Primary and lower secondary school	602	9.9%	0.09889929
2	Upper secondary school, General studies	625	10.3%	0.10267784
3	Upper secondary school, Vocational studies	586	9.6%	0.09627074
4	Craft training	584	9.6%	0.09594217
5	Two years of higher education	629	10.3%	0.10333498
6	Bachelor's degree from university college	602	9.9%	0.09889929
7	Bachelor's degree from university	635	10.4%	0.10432068
8	Master's degree from university college	584	9.6%	0.09594217
9	Master's degree from university	626	10.3%	0.10284212
10	PhD	614	10.1%	0.10087071
Sysmiss		4155		NA

r28_dmppsx_utd2

Variable label:	Experiment. Randomly selects education for candidate B in [r28_dmppx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3, 4, 5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:6087] [Invalid:4155] [Range:1-10]

Value	Label	Cases	Percentage
1	Primary and lower secondary school	615	10.1%	0.10103499
2	Upper secondary school, General studies	608	10.0%	0.09988500
3	Upper secondary school, Vocational studies	632	10.4%	0.10382783
4	Craft training	625	10.3%	0.10267784
5	Two years of higher education	602	9.9%	0.09889929
6	Bachelor's degree from university college	563	9.2%	0.09249220
7	Bachelor's degree from university	623	10.2%	0.10234927
8	Master's degree from university college	594	9.8%	0.09758502
9	Master's degree from university	635	10.4%	0.10432068
10	PhD	590	9.7%	0.09692788
Sysmiss		4155		NA

r28_dmppsx_kjonn1

Variable label:	Experiment. Randomly selects gender for candidate A in [r28_dmppsx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3, 4, 5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:6087] [Invalid:4155] [Range:1-2]

Value	Label	Cases	Percentage
1	Male	3066	50.4%	0.5036964
2	Female	3021	49.6%	0.4963036
Sysmiss		4155		NA

r28_dmppsx_kjonn2

Variable label:	Experiment. Randomly selects gender for kandidat B in [r28_dmppsx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3, 4, 5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:6087] [Invalid:4155] [Range:1-2]

Value	Label	Cases	Percentage
1	Male	2999	49.3%	0.4926893
2	Female	3088	50.7%	0.5073107
Sysmiss		4155		NA

r28_dmppsx_polerf1

Variable label:	Experiment. Randomly selects political experience for candidate A in [r28_dmppsx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3, 4, 5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:6087] [Invalid:4155] [Range:1-2]

Value	Label	Cases	Percentage
1	Member of the Storting	3070	50.4%	0.5043535
2	Not a member of the Storting	3017	49.6%	0.4956465
Sysmiss		4155		NA

r28_dmppsx_polerf2

Variable label:	Experiment. Randomly selects political experience for candidate b in [r28_dmppsx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3, 4, 5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:6087] [Invalid:4155] [Range:1-2]

Value	Label	Cases	Percentage
1	Member of the Storting	3055	50.2%	0.5018893
2	Not a member of the Storting	3032	49.8%	0.4981107
Sysmiss		4155		NA

r28_dmppsx_rerandomize

Variable label:	Experiment. Technical details on re-randomisation of r28_dmppsx-variables if it was necessary.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[If there was a necessity to re-randomise information for one of the candidates, the information is stored here.]
Technical attributes:	[Question type:Open] [Format:character] [Valid:6087] [Invalid:4155] [Range:-]

r28_dmppsx_roworder

Variable label:	Experiment. The random order of attributes shown in the table in [r28_dmppsx]. Sets the subject’s rowwise placement, sorted by subject.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[If the first number is 2, it means that subject 1 (age) was displayed in row number 2. If the second number is 4, it means that subject 1 (education) was displayed in row number 4, etc. For the sequential order, sorted by rownumber, see [r28_dmppsx_roworder_seq]. 1 = Age. 2 = Education. 3 = Gender. 4 = Political experience. The order is the same as in r28_dmppmx ([r28_dmppmx_roworder]).]
Technical attributes:	[Question type:Open] [Format:character] [Valid:6087] [Invalid:4155] [Range:-]

r28_dmppsx_roworder_seq

Variable label:	Experiment. The random order of attributes shown in the table in [r28_dmppsx]. Sets sequentially, sorted by rownumber.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[The first number in the array tells what category was displayed in the first row, while the next number tells what category was shown in the second row etc. 1 = Age. 2 = Education. 3 = Gender. 4 = Political experience. The order is the same as in r28_dmppmx ([r28_dmppmx_roworder_seq]).]
Technical attributes:	[Question type:Open] [Format:character] [Valid:6087] [Invalid:4155] [Range:-]

r28_dmppsx

Variable label:	Which political candidate do you prefer to stand for general elections in Norway?
Literal question:	Now try to envisage two political candidates running for parliamentary elections in Norway. They both represent the party you want to vote for. Based on the information below, which of the candidates do you prefer to be elected to Parliament? Candidate A [r28_dmppsx_alder1] [r28_dmppsx_utd1] [r28_dmppsx_kjonn1] [r28_dmppsx_polerf1] Candidate B [r28_dmppsx_alder2] [r28_dmppsx_utd2] [r28_dmppsx_kjonn2] [r28_dmppsx_polerf2] Based on this information, which candidate do you prefer?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3, 4, 5)] [Respondents was shown the candidate information in a table. Variables listed in question text was shown in random order which is stored in [r28_dmppsx_roworder] and [r28_dmppsx_roworder_seq].]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-2]

Value	Label	Cases	Percentage
1	Candidate A	2990	48.9%	0.48904154
2	Candidate B	2918	47.7%	0.47726529
97	Not answered	206	3.4%	0.03369316
98	Not asked	4128		NA

r28_cemdm

Variable label:	To what extent do you think most Norwegians feel a moral obligation to make climate-friendly choices in their everyday lives?
Literal question:	To what extent do you think most Norwegians feel a moral obligation to make climate-friendly choices in their everyday lives?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-6]

Value	Label	Cases	Percentage
1	A very high degree	11	0.5%	0.005161896
2	A high degree	320	15.0%	0.150164242
3	Some degree	1393	65.4%	0.653683717
4	A low degree	360	16.9%	0.168934772
5	Not at all	15	0.7%	0.007038949
6	Don't know	25	1.2%	0.011731581
97	Not answered	7	0.3%	0.003284843
98	Not asked	8111		NA

r28_ponbtx_ran1

Variable label:	Experiment. Randomly selects and element for textpiping in [r28_ponbrx] and [r28_ponbix].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 4)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:2126] [Invalid:8116] [Range:1-2]

Value	Label	Cases	Percentage
1	The red-green bloc consisting of the Socialist Left Party, the Norwegian Labour Party and the Centre Party	1087	51.1%	0.5112888
2	The governing Norwegian Labour Party and the Centre Party, in collaboration with the opposition party Socialist Left Party	1039	48.9%	0.4887112
Sysmiss		8116		NA

r28_ponbtx_ran2

Variable label:	Experiment. Randomly selects and element for textpiping in [r28_ponbrx] and [r28_ponbix].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 4)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:2126] [Invalid:8116] [Range:1-9]

Value	Label	Cases	Percentage
1	more full-time positions in working life	244	11.5%	0.11476952
2	reduced maximum price in kindergarten	225	10.6%	0.10583255
3	free half-day place in After-School Programmes for Year 2 pupils	226	10.6%	0.10630292
4	lower fuel taxes	206	9.7%	0.09689558
5	half price on all government-supported ferry routes	234	11.0%	0.11006585
6	reversal of county and municipal mergers	246	11.6%	0.11571025
7	postponement of 26th licensing round for oil exploration	230	10.8%	0.10818438
8	cheaper dentist fee for those between 21 and 26 years old	263	12.4%	0.12370649
9	increased emigration tax, also known as the ‘exit’ tax	252	11.9%	0.11853246
Sysmiss		8116		NA

r28_ponbtx_ran3

Variable label:	Experiment. Randomly selects and element for textpiping in [r28_ponbrx] and [r28_ponbix].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 4)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:2126] [Invalid:8116] [Range:1-2]

Value	Label	Cases	Percentage
1	an exceptionally tight budget, with significant cuts and savings compared to previous years	1081	50.8%	0.5084666
2	a far more generous budget than was expected before the negotiations	1045	49.2%	0.4915334
Sysmiss		8116		NA

r28_ponbtx_pipe

Variable label:	Experiment. Selects element for textpiping in [r28_ponbrx] and [r28_ponbix].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[If [r28_pontbx_ran1] == 1 the first element is selected. If [r28_ponbtx_ran1] == 2 the second element is selected.]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:2126] [Invalid:8116] [Range:1-2]

Value	Label	Cases	Percentage
1	the negotiations were good and the parties are satisfied with the result	1087	51.1%	0.5112888
2	the negotiations were challenging, but the parties reached a result they could agree on in the end	1039	48.9%	0.4887112
Sysmiss		8116		NA

r28_ponbrx_1

Variable label:	To what extent do you believe that each of the following parties is responsible for the results of the state budget that was negotiated last year (2022)?: The Norwegian Labour Party
Pre-question text:	Every year, the government negotiates a new state budget. You will now be presented with a short text about last year’s negotiations, i.e. those that took place in October 2022. After reading the text, we will ask you some short questions. [r28_ponbtx_ran1], agreed last October on a new state budget for 2023. Central to the agenda were issues that people were passionate about such as [r28_ponbtx_ran2]. The result of the negotiations was [r28_ponbtx_ran3]. All in all [r28_ponbtx_pipe]. To what extent do you believe that each of the following parties is responsible for the results of the state budget that was negotiated last year (2022)?
Literal question:	The Norwegian Labour Party
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	No responsibility	5	0.2%	0.002346316
2	Not much responsibility	21	1.0%	0.009854528
3	Some responsibility	206	9.7%	0.096668231
4	A lot of responsibility	1252	58.8%	0.587517597
5	Full responsibility	594	27.9%	0.278742374
97	Not answered	53	2.5%	0.024870953
98	Not asked	8111		NA

r28_ponbrx_2

Variable label:	To what extent do you believe that each of the following parties is responsible for the results of the state budget that was negotiated last year (2022)?: The Centre Party
Pre-question text:	Every year, the government negotiates a new state budget. You will now be presented with a short text about last year’s negotiations, i.e. those that took place in October 2022. After reading the text, we will ask you some short questions. [r28_ponbtx_ran1], agreed last October on a new state budget for 2023. Central to the agenda were issues that people were passionate about such as [r28_ponbtx_ran2]. The result of the negotiations was [r28_ponbtx_ran3]. All in all [r28_ponbtx_pipe]. To what extent do you believe that each of the following parties is responsible for the results of the state budget that was negotiated last year (2022)?
Literal question:	The Centre Party
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	No responsibility	8	0.4%	0.003754106
2	Not much responsibility	70	3.3%	0.032848428
3	Some responsibility	500	23.5%	0.234631628
4	A lot of responsibility	1061	49.8%	0.497888315
5	Full responsibility	429	20.1%	0.201313937
97	Not answered	63	3.0%	0.029563585
98	Not asked	8111		NA

r28_ponbrx_3

Variable label:	To what extent do you believe that each of the following parties is responsible for the results of the state budget that was negotiated last year (2022)?: The Socialist Left Party
Pre-question text:	Every year, the government negotiates a new state budget. You will now be presented with a short text about last year’s negotiations, i.e. those that took place in October 2022. After reading the text, we will ask you some short questions. [r28_ponbtx_ran1], agreed last October on a new state budget for 2023. Central to the agenda were issues that people were passionate about such as [r28_ponbtx_ran2]. The result of the negotiations was [r28_ponbtx_ran3]. All in all [r28_ponbtx_pipe]. To what extent do you believe that each of the following parties is responsible for the results of the state budget that was negotiated last year (2022)?
Literal question:	The Socialist Left Party
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	No responsibility	33	1.5%	0.01548569
2	Not much responsibility	357	16.8%	0.16752698
3	Some responsibility	1000	46.9%	0.46926326
4	A lot of responsibility	526	24.7%	0.24683247
5	Full responsibility	152	7.1%	0.07132802
97	Not answered	63	3.0%	0.02956359
98	Not asked	8111		NA

r28_ponbix_1

Variable label:	To what extent do you think each of the following parties influenced the formulation of the state budget that was negotiated last year (2022)?: The Norwegian Labour Party
Pre-question text:	Every year, the government negotiates a new state budget. You will now be presented with a short text about last year’s negotiations, i.e. those that took place in October 2022. After reading the text, we will ask you some short questions. [r28_ponbtx_ran1], agreed last October on a new state budget for 2023. Central to the agenda were issues that people were passionate about such as [r28_ponbtx_ran2]. The result of the negotiations was [r28_ponbtx_ran3]. All in all [r28_ponbtx_pipe]. To what extent do you think each of the following parties influenced the formulation of the state budget that was negotiated last year (2022)?
Literal question:	The Norwegian Labour Party
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	No influence	4	0.2%	0.001877053
2	Little influence	23	1.1%	0.010793055
3	Some influence	266	12.5%	0.124824026
4	A lot of influence	1428	67.0%	0.670107931
5	Total influence	342	16.0%	0.160488034
97	Not answered	68	3.2%	0.031909901
98	Not asked	8111		NA

r28_ponbix_2

Variable label:	To what extent do you think each of the following parties influenced the formulation of the state budget that was negotiated last year (2022)?: The Centre Party
Pre-question text:	Every year, the government negotiates a new state budget. You will now be presented with a short text about last year’s negotiations, i.e. those that took place in October 2022. After reading the text, we will ask you some short questions. [r28_ponbtx_ran1], agreed last October on a new state budget for 2023. Central to the agenda were issues that people were passionate about such as [r28_ponbtx_ran2]. The result of the negotiations was [r28_ponbtx_ran3]. All in all [r28_ponbtx_pipe]. To what extent do you think each of the following parties influenced the formulation of the state budget that was negotiated last year (2022)?
Literal question:	The Centre Party
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	No influence	8	0.4%	0.003754106
2	Little influence	114	5.3%	0.053496011
3	Some influence	705	33.1%	0.330830596
4	A lot of influence	1059	49.7%	0.496949789
5	Total influence	177	8.3%	0.083059596
97	Not answered	68	3.2%	0.031909901
98	Not asked	8111		NA

r28_ponbix_3

Variable label:	To what extent do you think each of the following parties influenced the formulation of the state budget that was negotiated last year (2022)?: The Socialist Left Party
Pre-question text:	Every year, the government negotiates a new state budget. You will now be presented with a short text about last year’s negotiations, i.e. those that took place in October 2022. After reading the text, we will ask you some short questions. [r28_ponbtx_ran1], agreed last October on a new state budget for 2023. Central to the agenda were issues that people were passionate about such as [r28_ponbtx_ran2]. The result of the negotiations was [r28_ponbtx_ran3]. All in all [r28_ponbtx_pipe]. To what extent do you think each of the following parties influenced the formulation of the state budget that was negotiated last year (2022)?
Literal question:	The Socialist Left Party
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	No influence	29	1.4%	0.01360863
2	Little influence	408	19.1%	0.19145941
3	Some influence	1170	54.9%	0.54903801
4	A lot of influence	414	19.4%	0.19427499
5	Total influence	39	1.8%	0.01830127
97	Not answered	71	3.3%	0.03331769
98	Not asked	8111		NA

r28_ponbrx_ponbix_order_1

Variable label:	Shows the order of [r28_ponbrx] and [r28_ponbix].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[If 1 [r28_ponbrx] was displayed first. If 2 [r28_ponbix] was displayed first.]
Technical attributes:	[Question type:Ranking] [Format:numeric] [Valid:2118] [Invalid:8124] [Range:1-2]

Value	Label	Cases	Percentage
1	[r28_ponbrx] first	1068	50.4%	0.5042493
2	[r28_ponbix] first	1050	49.6%	0.4957507
Sysmiss		8124		NA

r28_ponbrx_ponbix_order_2

Variable label:	Shows the order of [r28_ponbrx] and [r28_ponbix].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[If 1 [r28_ponbrx] was displayed second. If 2 [r28_ponbix] was displayed second.]
Technical attributes:	[Question type:Ranking] [Format:numeric] [Valid:2118] [Invalid:8124] [Range:1-2]

Value	Label	Cases	Percentage
1	[r28_ponbrx] last	1050	49.6%	0.4957507
2	[r28_ponbix] last	1068	50.4%	0.5042493
Sysmiss		8124		NA

r28_dvtevx1_ran1

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_dvtevx1].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 4)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:2115] [Invalid:8127] [Range:1-2]

Value	Label	Cases	Percentage
1	female	1040	49.2%	0.4917258
2	male	1075	50.8%	0.5082742
Sysmiss		8127		NA

r28_dvtevx1_ran2

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_dvtevx1].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 4)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:2115] [Invalid:8127] [Range:1-2]

Value	Label	Cases	Percentage
1	The Progress Party (FrP)	1038	49.1%	0.4907801
2	The Conservative Party (H)	1077	50.9%	0.5092199
Sysmiss		8127		NA

r28_dvtevx1_ran3

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_dvtevx1].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 4)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:2115] [Invalid:8127] [Range:1-2]

Value	Label	Cases	Percentage
1	Norwegian culture	1068	50.5%	0.5049645
2	women’s rights	1047	49.5%	0.4950355
Sysmiss		8127		NA

r28_dvtevx1

Variable label:	Agree/disagree: the leader of the local group should be allowed to hold an event criticising Islam
Literal question:	Imagine that a [r28_dvtevx1_ran1]leader of a local group from [r28_dvtevx1_ran2] has asked to hold a public event to criticise Islam as a threat to [r28_dvtevx1_ran3]. To what extent do you agree or disagree that the [r28_dvtevx1_ran1] leader of the local group from [r28_dvtevx1_ran2] should be allowed to hold the event?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	427	20.0%	0.20037541
2	Agree	576	27.0%	0.27029564
3	Agree somewhat	278	13.0%	0.13045519
4	Neither agree nor disagree	193	9.1%	0.09056781
5	Disagree somewhat	183	8.6%	0.08587518
6	Disagree	252	11.8%	0.11825434
7	Strongly disagree	197	9.2%	0.09244486
97	Not answered	25	1.2%	0.01173158
98	Not asked	8111		NA

r28_dvtevx2

Variable label:	To what extent do you agree or disagree with the message that is going to be expressed at the imaginary event?
Literal question:	To what extent do you agree or disagree with the message that is going to be expressed at the imaginary event?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	196	9.2%	0.09197560
2	Agree	332	15.6%	0.15579540
3	Agree somewhat	379	17.8%	0.17785077
4	Neither agree nor disagree	235	11.0%	0.11027687
5	Disagree somewhat	195	9.2%	0.09150634
6	Disagree	392	18.4%	0.18395120
7	Strongly disagree	366	17.2%	0.17175035
97	Not answered	36	1.7%	0.01689348
98	Not asked	8111		NA

r28_dvtevx3

Variable label:	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?
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:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Intensely like	48	2.3%	0.02252464
2	Really like	118	5.5%	0.05537306
3	Like somewhat	226	10.6%	0.10605350
4	Neither like nor dislike	554	26.0%	0.25997184
5	Dislike somewhat	412	19.3%	0.19333646
6	Really dislike	465	21.8%	0.21820741
7	Intensely dislike	266	12.5%	0.12482403
97	Not answered	42	2.0%	0.01970906
98	Not asked	8111		NA

r28_dvtevx4

Variable label:	How acceptable or unacceptable do you think it is that 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:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Highly acceptable	185	8.7%	0.08681370
2	Acceptable	449	21.1%	0.21069920
3	Somewhat acceptable	354	16.6%	0.16611919
4	Neither acceptable nor unacceptable	314	14.7%	0.14734866
5	Somewhat unacceptable	325	15.3%	0.15251056
6	Unacceptable	347	16.3%	0.16283435
7	Highly unacceptable	116	5.4%	0.05443454
97	Not answered	41	1.9%	0.01923979
98	Not asked	8111		NA

r28_dvtevxo

Variable label:	We would like to ask you to write a few words or sentences about what you think the local group will talk about at this event.
Literal question:	We would like to ask you to write a few words or sentences about what you think the local group will talk about at this event.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_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:10242] [Range:-]

r28_pcldp_misliker

Variable label:	Experiment. Party code for the political party the respondent has listed as least favoured.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Collected from [r28_pcldp]. Values are collected from [r27_pcldp] if the respondent has not answered the question in the current wave. If the respondent dislikes several parties equally, one of them are collected at random.]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1945] [Invalid:8297] [Range:1-9]

Value	Label	Cases	Percentage
1	The Christian Democrats	135	6.9%	0.06940874
2	The Conservative Party	99	5.1%	0.05089974
3	The Progress Party	667	34.3%	0.34293059
4	The Liberal Party	57	2.9%	0.02930591
5	The Socialist Left Party	119	6.1%	0.06118252
6	The Centre Party	162	8.3%	0.08329049
7	The Green Party	275	14.1%	0.14138817
8	The Labour Party	102	5.2%	0.05244216
9	The Red Party	329	16.9%	0.16915167
Sysmiss		8297		NA

r28_dmpexx_ran

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_dmpexx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 5) & (r28_pcldp_misliker is answered)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1945] [Invalid:8297] [Range:1-3]

Value	Label	Cases	Percentage
1	Politicians from other parties refuse any form of collaboration with [r28_pcldp_misliker].	665	34.2%	0.3419023
2	Politicians from [r28_pcldp_misliker] are approached at their homes in a way that is threatening.	647	33.3%	0.3326478
3	(Control group - goes to r28_pcldpx)	633	32.5%	0.3254499
Sysmiss		8297		NA

r28_dmpexx

Variable label:	Acceptable/unacceptable: scenario of political conflict with [r28_pcldp_misliker].
Literal question:	Political conflicts and disagreements can sometimes develop in a very negative direction, which can lead to a willingness to resort to drastic measures against the other party. Here, you are presented with one such scenario with [r28_pcldp_misliker]. Imagine it really happening, and consider how acceptable or unacceptable you think it is. [r28_dmpexx_ran] How acceptable or unacceptable do you think it is?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_dmpexx_ran = 1,2) & (r28_group = 5) & (r28_pcldp_misliker is answered)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:0-10]

Value	Label	Cases	Percentage
0	0 - Completely unacceptable	516	39.3%	0.393292683
1	1	109	8.3%	0.083079268
2	2	70	5.3%	0.053353659
3	3	64	4.9%	0.048780488
4	4	55	4.2%	0.041920732
5	5	79	6.0%	0.060213415
6	6	47	3.6%	0.035823171
7	7	84	6.4%	0.064024390
8	8	87	6.6%	0.066310976
9	9	51	3.9%	0.038871951
10	10 - Completely acceptable	143	10.9%	0.108993902
97	Not answered	7	0.5%	0.005335366
98	Not asked	8930		NA

r28_pcldpx

Variable label:	We would like you to consider how much you like or dislike the following political party: [r28_pcldp_misliker]
Pre-question text:	We would like you to rate how much you like or dislike the following political party:
Literal question:	[r28_pcldp_misliker]
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 5) & (r28_pcldp_misliker is answered)]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Intensely like	11	0.6%	0.005655527
2	Really like	7	0.4%	0.003598972
3	Like somewhat	27	1.4%	0.013881748
4	Neither like nor dislike	59	3.0%	0.030334190
5	Dislike somewhat	300	15.4%	0.154241645
6	Really dislike	656	33.7%	0.337275064
7	Intensely dislike	878	45.1%	0.451413882
97	Not answered	7	0.4%	0.003598972
98	Not asked	8297		NA

r28_ceexwx_intro_ran

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_cehowx], [r28_cemafx], and [r28_cepdcx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1949] [Invalid:8293] [Range:1-4]

Value	Label	Cases	Percentage
1	“Climate change increases the likelihood of extreme weather events and natural hazards in Norway. Climate change leads to challenges related to too much and too little water. In particular, we need to prepare for heavier downpours, increased temperatures, and landslides, floods and droughts happening more frequently.”	479	24.6%	0.2457671
2	Norwegian insurance companies warn that climate change increases the likelihood of extreme weather and natural hazards in Norway. “Climate change leads to challenges related to too much and too little water. In particular, we need to prepare for heavier downpours, increased temperatures, and landslides, floods and droughts happening more frequently.”	489	25.1%	0.2508979
3	A group of Norwegian climate scientists warn that climate change increases the likelihood of extreme weather and natural hazards in Norway. “Climate change leads to challenges related to too much and too little water. In particular, we need to prepare for heavier downpours, increased temperatures, and landslides, floods and droughts happening more frequently.”	472	24.2%	0.2421755
4	The emergency preparedness coordinator in the municipality warns that climate change increases the likelihood of extreme weather and natural hazards in Norway. “Climate change leads to challenges related to too much and too little water. In particular, we need to prepare for heavier downpours, increased temperatures, and landslides, floods and droughts happening more frequently.”	509	26.1%	0.2611596
Sysmiss		8293		NA

r28_cehowx

Variable label:	Are you worried that extreme weather or the consequences of climate change will cause damage to your home?
Pre-question text:	Imagine the following news item: [r28_ceexwx_intro_ran]
Literal question:	Are you worried that extreme weather or the consequences of climate change will cause damage to your home?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3)] [Displayed in random order with [r28_cemafx] and [r28_cepdcx].]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-4]

Value	Label	Cases	Percentage
1	Not at all worried	802	40.8%	0.40793489
2	Slightly worried	974	49.5%	0.49542218
3	Fairly worried	127	6.5%	0.06459817
4	Very worried	38	1.9%	0.01932859
97	Not answered	25	1.3%	0.01271617
98	Not asked	8276		NA

r28_cemafx

Variable label:	Agree/disagree: My municipality will be adversely affected by climate change the next ten years.
Pre-question text:	Imagine the following news item: [r28_ceexwx_intro_ran]
Literal question:	To what extent do you agree or disagree with the following statement? My municipality will be adversely affected by climate change over the next 10 years.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3)] [Displayed in random order with [r28_cehowx] and [r28_cepdcx].]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	187	9.5%	0.09511699
2	Agree	472	24.0%	0.24008138
3	Agree somewhat	596	30.3%	0.30315361
4	Neither agree nor disagree	361	18.4%	0.18362157
5	Disagree somewhat	139	7.1%	0.07070193
6	Disagree	135	6.9%	0.06866734
7	Strongly disagree	56	2.8%	0.02848423
97	Not answered	20	1.0%	0.01017294
98	Not asked	8276		NA

r28_cepdcx

Variable label:	Agree/disagree: The authorities must step up their efforts to safeguard against direct, local impacts of climate change
Pre-question text:	Imagine the following news item: [r28_ceexwx_intro_ran]
Literal question:	To what extent do you agree or disagree with the following statement: The authorities must increase efforts to protect us against the direct local consequences of climate change (such as storms, landslides, floods, droughts and storm surges), even if this means there will be less money for other important local causes?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3)] [Displayed in random order with [r28_cehowx] and [r28_cemafx].]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	279	14.2%	0.14191251
2	Agree	690	35.1%	0.35096643
3	Agree somewhat	647	32.9%	0.32909461
4	Neither agree nor disagree	178	9.1%	0.09053917
5	Disagree somewhat	95	4.8%	0.04832146
6	Disagree	33	1.7%	0.01678535
7	Strongly disagree	23	1.2%	0.01169888
97	Not answered	21	1.1%	0.01068159
98	Not asked	8276		NA

r28_ceccex

Variable label:	Climate change: Which event will have the greatest impact?
Literal question:	Climate change is expected to have an impact in various areas. Which of the following events do you think will have the greatest impact in your municipality over the next 10 years?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3)] [Displayed in random order with [r28_cecsqx], [r28_cepicx], and [r28_cecoax].]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-9]

Value	Label	Cases	Percentage
1	Periods of heavy rain	940	47.8%	0.47812818
2	Periods of heavy drought	160	8.1%	0.08138352
3	Periods of very high or low temperatures	102	5.2%	0.05188199
4	Storm/hurricane	193	9.8%	0.09816887
5	Landslides/rockfall	165	8.4%	0.08392675
6	Rising sea level	60	3.1%	0.03051882
7	Floods	126	6.4%	0.06408952
8	Other:	48	2.4%	0.02441506
9	I don't think climate change will have an impact	150	7.6%	0.07629705
97	Not answered	22	1.1%	0.01119023
98	Not asked	8276		NA

r28_ceccex_8_other

Variable label:	Climate change is expected to have an impact in various areas. Which of the following events do you think will have the greatest impact in your municipality over the next 10 years?: Other:
Pre-question text:	Climate change is expected to have an impact in various areas. Which of the following events do you think will have the greatest impact in your municipality over the next 10 years?
Literal question:	Other:
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3)] [Displayed in random order with [r28_cecsqx], [r28_cepicx], and [r28_cecoax].] [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:10242] [Range:-]

r28_cecsqx

Variable label:	When will Norway suffer the negative consequences of climate change?
Literal question:	When do you think Norway will really suffer the negative consequences of climate change (more rain, drought, storms, landslides, floods and storm surges)?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3)] [Displayed in random order with [r28_ceccex], [r28_cepicx], and [r28_cecoax].]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	We're suffering them now.	1081	55.0%	0.54984741
2	The next decade	462	23.5%	0.23499491
3	In 20-50 years	242	12.3%	0.12309257
4	In more than 50 years	54	2.7%	0.02746694
5	Never	98	5.0%	0.04984741
97	Not answered	29	1.5%	0.01475076
98	Not asked	8276		NA

r28_cepicx

Variable label:	Agree/disagree: The authorities must step up their efforts in order to prevent indirect consequences of climate change
Literal question:	To what extent do you agree or disagree with the following statement: The authorities must increase efforts to prevent indirect consequences of climate change (such as declining global food production, increased spread of disease and climate refugees), even if this means less money for other important causes?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3)] [Displayed in random order with [r28_ceccex], [r28_cecsqx], and [r28_cecoax].]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	323	16.4%	0.16429298
2	Agree	699	35.6%	0.35554425
3	Agree somewhat	564	28.7%	0.28687691
4	Neither agree nor disagree	162	8.2%	0.08240081
5	Disagree somewhat	87	4.4%	0.04425229
6	Disagree	54	2.7%	0.02746694
7	Strongly disagree	53	2.7%	0.02695829
97	Not answered	24	1.2%	0.01220753
98	Not asked	8276		NA

r28_cecoax

Variable label:	Agree/disagree: Confident that the authorities protect the population from climate change.
Literal question:	To what extent do you agree or disagree with the following statement? I am confident that the authorities will take the necessary measures to protect the population from the negative consequences of climate change (more rain, drought, storms, landslides, floods and storm surges).
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3)] [Displayed in random order with [r28_ceccex], [r28_cecsqx], and [r28_cepicx].]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	27	1.4%	0.01373347
2	Agree	332	16.9%	0.16887080
3	Agree somewhat	658	33.5%	0.33468973
4	Neither agree nor disagree	295	15.0%	0.15005086
5	Disagree somewhat	358	18.2%	0.18209563
6	Disagree	191	9.7%	0.09715158
7	Strongly disagree	80	4.1%	0.04069176
97	Not answered	25	1.3%	0.01271617
98	Not asked	8276		NA

r28_cevac

Variable label:	Have you changed your holiday habits or holiday plans due to the risk of extreme weather or the consequences of extreme weather in certain areas (such as floods, heatwaves or wildfires)?
Literal question:	Have you changed your holiday habits or holiday plans due to the risk of extreme weather or the consequences of extreme weather in certain areas (such as floods, heatwaves or wildfires)?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-2]

Value	Label	Cases	Percentage
1	Yes	522	26.6%	0.26551373
2	No	1413	71.9%	0.71871821
97	Not answered	31	1.6%	0.01576806
98	Not asked	8276		NA

r28_cevap

Variable label:	Likelihood of changing holiday habits due to extreme weather.
Literal question:	How likely are you to change your holiday habits or holiday plans due to the risk of extreme weather or the consequences of extreme weather in certain areas (such as floods, heatwaves or wildfires)?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_cevac = 2) & (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Highly likely	43	3.0%	0.0304317056
2	Likely	242	17.1%	0.1712668082
3	Fairly likely	394	27.9%	0.2788393489
4	Not very likely	541	38.3%	0.3828733192
5	Not at all likely	192	13.6%	0.1358811040
97	Not answered	1	0.1%	0.0007077141
98	Not asked	8829		NA

r28_dvianx1_holdning1

Variable label:	Experiment. With weighted and conditional randomisation is attitude for person 1 in [r28_dvianx1] selected.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1945] [Invalid:8297] [Range:1-8]

Value	Label	Cases	Percentage
1	Easier. Those of us born in a rich country like Norway must share the benefits with those who have been less fortunate.	275	14.1%	0.1413882
2	Easier. Such immigration enriches the cultural life in Norway, and brings new ideas and ways of thinking.	247	12.7%	0.1269923
3	Easier. We are completely dependent on foreign labour and expertise.	268	13.8%	0.1377892
4	Easier. We must do more to help people fleeing war and persecution in their home countries.	241	12.4%	0.1239075
5	More difficult. Too many of those who come are criminals, making Norway a society that is less safe.	221	11.4%	0.1136247
6	More difficult. Major cultural differences create problems and can lead to loss of Norwegian culture and distinctiveness.	223	11.5%	0.1146530
7	More difficult. Such immigration creates substantial costs for society and is a major burden on the welfare state.	241	12.4%	0.1239075
8	More difficult. As it is today, integration doesn’t work well enough, and far too many end up as outsiders.	229	11.8%	0.1177378
Sysmiss		8297		NA

r28_dvianx1_holdning2

Variable label:	Experiment. With weighted and conditional randomisation is attitude for person 2 in [r28_dvianx1] selected.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1945] [Invalid:8297] [Range:1-8]

Value	Label	Cases	Percentage
1	Easier. Those of us born in a rich country like Norway must share the benefits with those who have been less fortunate.	263	13.5%	0.1352185
2	Easier. Such immigration enriches the cultural life in Norway, and brings new ideas and ways of thinking.	271	13.9%	0.1393316
3	Easier. We are completely dependent on foreign labour and expertise.	263	13.5%	0.1352185
4	Easier. We must do more to help people fleeing war and persecution in their home countries.	255	13.1%	0.1311054
5	More difficult. Too many of those who come are criminals, making Norway a society that is less safe.	219	11.3%	0.1125964
6	More difficult. Major cultural differences create problems and can lead to loss of Norwegian culture and distinctiveness.	228	11.7%	0.1172237
7	More difficult. Such immigration creates substantial costs for society and is a major burden on the welfare state.	226	11.6%	0.1161954
8	More difficult. As it is today, integration doesn’t work well enough, and far too many end up as outsiders.	220	11.3%	0.1131105
Sysmiss		8297		NA

r28_dvianx1_parti1

Variable label:	Experiment. With weighted randomisation is political party for person 1 in [r28_dvianx1] selected.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1945] [Invalid:8297] [Range:1-9]

Value	Label	Cases	Percentage
1	The Labour Party	393	20.2%	0.20205656
2	The Conservative Party	698	35.9%	0.35886889
3	The Progress Party	138	7.1%	0.07095116
4	The Centre Party	90	4.6%	0.04627249
5	The Socialist Left Party	227	11.7%	0.11670951
6	The Liberal Party	79	4.1%	0.04061697
7	The Christian Democrats	59	3.0%	0.03033419
8	The Green Party	110	5.7%	0.05655527
9	The Red Party	151	7.8%	0.07763496
Sysmiss		8297		NA

r28_dvianx1_parti2

Variable label:	Experiment. With weighted randomisation is political party for person 2 in [r28_dvianx1] selected.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1945] [Invalid:8297] [Range:1-9]

Value	Label	Cases	Percentage
1	The Labour Party	402	20.7%	0.20668380
2	The Conservative Party	660	33.9%	0.33933162
3	The Progress Party	126	6.5%	0.06478149
4	The Centre Party	83	4.3%	0.04267352
5	The Socialist Left Party	242	12.4%	0.12442159
6	The Liberal Party	93	4.8%	0.04781491
7	The Christian Democrats	68	3.5%	0.03496144
8	The Green Party	109	5.6%	0.05604113
9	The Red Party	162	8.3%	0.08329049
Sysmiss		8297		NA

r28_dvianx1_navn1

Variable label:	Experiment. With conditional randomisation is name for person 1 in [r28_dvianx1] selected.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1945] [Invalid:8297] [Range:1-8]

Value	Label	Cases	Percentage
1	Jan	240	12.3%	0.1233933
2	Per	228	11.7%	0.1172237
3	Bjørn	263	13.5%	0.1352185
4	Ole	244	12.5%	0.1254499
5	Anne	246	12.6%	0.1264781
6	Inger	251	12.9%	0.1290488
7	Kari	232	11.9%	0.1192802
8	Ingrid	241	12.4%	0.1239075
Sysmiss		8297		NA

r28_dvianx1_navn2

Variable label:	Experiment. With conditional randomisation is name for person 2 in [r28_dvianx1] selected.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1945] [Invalid:8297] [Range:1-8]

Value	Label	Cases	Percentage
1	Jan	248	12.8%	0.1275064
2	Per	228	11.7%	0.1172237
3	Bjørn	230	11.8%	0.1182519
4	Ole	265	13.6%	0.1362468
5	Anne	231	11.9%	0.1187661
6	Inger	229	11.8%	0.1177378
7	Kari	272	14.0%	0.1398458
8	Ingrid	242	12.4%	0.1244216
Sysmiss		8297		NA

r28_dvianx1_utd1

Variable label:	Experiment. With weighted randoisation is education for person 1 in [r28_dvianx1] selected.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1945] [Invalid:8297] [Range:1-2]

Value	Label	Cases	Percentage
1	Upper secondary school	570	29.3%	0.2930591
2	University	1375	70.7%	0.7069409
Sysmiss		8297		NA

r28_dvianx1_utd2

Variable label:	Experiment. With weighted randoisation is education for person 2 in [r28_dvianx1] selected.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1945] [Invalid:8297] [Range:1-2]

Value	Label	Cases	Percentage
1	Upper secondary school	579	29.8%	0.2976864
2	University	1366	70.2%	0.7023136
Sysmiss		8297		NA

r28_dvianx1_alder1

Variable label:	Experiment. With weighted randomisation is age for person 1 in [r28_dvianx1] selected.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1945] [Invalid:8297] [Range:1-6]

Value	Label	Cases	Percentage
1	25	187	9.6%	0.09614396
2	35	191	9.8%	0.09820051
3	45	356	18.3%	0.18303342
4	55	440	22.6%	0.22622108
5	65	470	24.2%	0.24164524
6	75	301	15.5%	0.15475578
Sysmiss		8297		NA

r28_dvianx1_alder2

Variable label:	Experiment. With weighted randomisation is age for person 2 in [r28_dvianx1] selected.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1945] [Invalid:8297] [Range:1-6]

Value	Label	Cases	Percentage
1	25	150	7.7%	0.07712082
2	35	222	11.4%	0.11413882
3	45	322	16.6%	0.16555270
4	55	448	23.0%	0.23033419
5	65	501	25.8%	0.25758355
6	75	302	15.5%	0.15526992
Sysmiss		8297		NA

r28_dvianx1

Variable label:	Below are the profiles of two randomly selected people, who would you rather have as a neighbour? (version 1)
Literal question:	Below are the profiles of two randomly selected people. The characters are fictitious, but based on information from the Norwegian Citizen Panel. Please consider them carefully. Once you have considered both profiles, you can answer the questions below. Name Person 1 [r28_dvianx1_navn1] Person 2 [r28_dvianx1_navn2] Do you think it should be easier or more difficult for non-European immigrants to obtain residence in Norway? Person 1 [r28_dvianx1_holdning1] Person 2 [r28_dvianx1_holdning2] Which party did you vote for at the last general election? Person 1 [r28_dvianx1_parti1] Person 2 [r28_dvianx1_parti2] Highest completed education Person 1 [r28_dvianx1_utd1] Person 2 [r28_dvianx1_utd2] Age Person 1 [r28_dvianx1_alder1] Person 2 [r28_dvianx1_alder2] Which of the two would you rather have as a neighbour?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3)] [Respondents was shown information about the persons in a table. For more information on the data which serves as a basis for the weighted randomisation in the experiment, contact the responsible researcher Soran Hajo Dahl (soran.dahl@uib.no). Displayed on the same page as [r28_dviafx1_1] and [r28_dviafx1_2].]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-2]

Value	Label	Cases	Percentage
1	[r28_dvianx1_navn1]	980	49.8%	0.49847406
2	[r28_dvianx1_navn2]	919	46.7%	0.46744659
97	Not answered	67	3.4%	0.03407935
98	Not asked	8276		NA

r28_dviafx1_1

Variable label:	Please state how warm or cold you feel towards the two people.: [r28_dvianx1_navn1]
Pre-question text:	We ask you to state how warm or cold you feel towards the two people.
Literal question:	[r28_dvianx1_navn1]
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3)] [Respondents answered using a slider. Displayed on the same page as [r28_dvianx1] and [r28_dviafx1_2]]
Technical attributes:	[Question type:Numeric List] [Format:numeric] [Valid:1825] [Invalid:8417] [Range:0-100]

r28_dviafx1_2

Variable label:	Please state how warm or cold you feel towards the two people.: [r28_dvianx1_navn2]
Pre-question text:	We ask you to state how warm or cold you feel towards the two people.
Literal question:	[r28_dvianx1_navn2]
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3)] [Respondents answered using a slider. Displayed on the same page as [r28_dvianx1] and [r28_dviafx1_1]]
Technical attributes:	[Question type:Numeric List] [Format:numeric] [Valid:1825] [Invalid:8417] [Range:0-100]

r28_dvianx2_holdning1

Variable label:	Experiment. With weighted and conditional randomisation is attitude for person 1 in [r28_dvianx2] selected.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1937] [Invalid:8305] [Range:1-8]

Value	Label	Cases	Percentage
1	Easier. Those of us born in a rich country like Norway must share the benefits with those who have been less fortunate.	259	13.4%	0.1337119
2	Easier. Such immigration enriches the cultural life in Norway, and brings new ideas and ways of thinking.	276	14.2%	0.1424884
3	Easier. We are completely dependent on foreign labour and expertise.	254	13.1%	0.1311306
4	Easier. We must do more to help people fleeing war and persecution in their home countries.	242	12.5%	0.1249355
5	More difficult. Too many of those who come are criminals, making Norway a society that is less safe.	228	11.8%	0.1177078
6	More difficult. Major cultural differences create problems and can lead to loss of Norwegian culture and distinctiveness.	229	11.8%	0.1182241
7	More difficult. Such immigration creates substantial costs for society and is a major burden on the welfare state.	199	10.3%	0.1027362
8	More difficult. As it is today, integration doesn’t work well enough, and far too many end up as outsiders.	250	12.9%	0.1290656
Sysmiss		8305		NA

r28_dvianx2_holdning2

Variable label:	Experiment. With weighted and conditional randomisation is attitude for person 2 in [r28_dvianx2] selected.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1937] [Invalid:8305] [Range:1-8]

Value	Label	Cases	Percentage
1	Easier. Those of us born in a rich country like Norway must share the benefits with those who have been less fortunate.	246	12.7%	0.1270005
2	Easier. Such immigration enriches the cultural life in Norway, and brings new ideas and ways of thinking.	268	13.8%	0.1383583
3	Easier. We are completely dependent on foreign labour and expertise.	232	12.0%	0.1197728
4	Easier. We must do more to help people fleeing war and persecution in their home countries.	238	12.3%	0.1228704
5	More difficult. Too many of those who come are criminals, making Norway a society that is less safe.	259	13.4%	0.1337119
6	More difficult. Major cultural differences create problems and can lead to loss of Norwegian culture and distinctiveness.	228	11.8%	0.1177078
7	More difficult. Such immigration creates substantial costs for society and is a major burden on the welfare state.	231	11.9%	0.1192566
8	More difficult. As it is today, integration doesn’t work well enough, and far too many end up as outsiders.	235	12.1%	0.1213216
Sysmiss		8305		NA

r28_dvianx2_parti1

Variable label:	Experiment. With weighted randomisation is political party for person 1 in [r28_dvianx2] selected.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1937] [Invalid:8305] [Range:1-9]

Value	Label	Cases	Percentage
1	The Labour Party	381	19.7%	0.19669592
2	The Conservative Party	685	35.4%	0.35363965
3	The Progress Party	147	7.6%	0.07589055
4	The Centre Party	90	4.6%	0.04646360
5	The Socialist Left Party	225	11.6%	0.11615901
6	The Liberal Party	76	3.9%	0.03923593
7	The Christian Democrats	63	3.3%	0.03252452
8	The Green Party	106	5.5%	0.05472380
9	The Red Party	164	8.5%	0.08466701
Sysmiss		8305		NA

r28_dvianx2_parti2

Variable label:	Experiment. With weighted randomisation is political party for person 2 in [r28_dvianx2] selected.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1937] [Invalid:8305] [Range:1-9]

Value	Label	Cases	Percentage
1	The Labour Party	378	19.5%	0.19514713
2	The Conservative Party	662	34.2%	0.34176562
3	The Progress Party	145	7.5%	0.07485803
4	The Centre Party	90	4.6%	0.04646360
5	The Socialist Left Party	223	11.5%	0.11512648
6	The Liberal Party	93	4.8%	0.04801239
7	The Christian Democrats	67	3.5%	0.03458957
8	The Green Party	124	6.4%	0.06401652
9	The Red Party	155	8.0%	0.08002065
Sysmiss		8305		NA

r28_dvianx2_navn1

Variable label:	Experiment. With conditional randomisation is name for person 1 in [r28_dvianx2] selected.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3). A technical error lead to only male names being chosen.]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1937] [Invalid:8305] [Range:1-4]

Value	Label	Cases	Percentage
1	Jan	461	23.8%	0.2379969
2	Per	502	25.9%	0.2591637
3	Bjørn	496	25.6%	0.2560661
4	Ole	478	24.7%	0.2467734
5	Anne	0	0.0%	0.0000000
6	Inger	0	0.0%	0.0000000
7	Kari	0	0.0%	0.0000000
8	Ingrid	0	0.0%	0.0000000
Sysmiss		8305		NA

r28_dvianx2_navn2

Variable label:	Experiment. With conditional randomisation is name for person 2 in [r28_dvianx2] selected.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3). A technical error lead to only male names being chosen.]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1937] [Invalid:8305] [Range:1-4]

Value	Label	Cases	Percentage
1	Jan	512	26.4%	0.2643263
2	Per	484	25.0%	0.2498709
3	Bjørn	475	24.5%	0.2452246
4	Ole	466	24.1%	0.2405782
5	Anne	0	0.0%	0.0000000
6	Inger	0	0.0%	0.0000000
7	Kari	0	0.0%	0.0000000
8	Ingrid	0	0.0%	0.0000000
Sysmiss		8305		NA

r28_dvianx2_utd1

Variable label:	Experiment. With weighted randomisation is education for person 1 in [r28_dvianx2] selected.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1937] [Invalid:8305] [Range:1-2]

Value	Label	Cases	Percentage
1	Upper secondary school	616	31.8%	0.3180176
2	University	1321	68.2%	0.6819824
Sysmiss		8305		NA

r28_dvianx2_utd2

Variable label:	Experiment. With weighted randomisation is education for person 2 in [r28_dvianx2] selected.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1937] [Invalid:8305] [Range:1-2]

Value	Label	Cases	Percentage
1	Upper secondary school	570	29.4%	0.2942695
2	University	1367	70.6%	0.7057305
Sysmiss		8305		NA

r28_dvianx2_alder1

Variable label:	Experiment. With weighted randomisation is age for person 1 in [r28_dvianx2] selected.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1937] [Invalid:8305] [Range:1-6]

Value	Label	Cases	Percentage
1	25	149	7.7%	0.07692308
2	35	204	10.5%	0.10531750
3	45	338	17.4%	0.17449664
4	55	448	23.1%	0.23128549
5	65	477	24.6%	0.24625710
6	75	321	16.6%	0.16572019
Sysmiss		8305		NA

r28_dvianx2_alder2

Variable label:	Experiment. With weighted randomisation is age for person 2 in [r28_dvianx2] selected.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1937] [Invalid:8305] [Range:1-6]

Value	Label	Cases	Percentage
1	25	134	6.9%	0.06917914
2	35	223	11.5%	0.11512648
3	45	335	17.3%	0.17294786
4	55	506	26.1%	0.26122870
5	65	442	22.8%	0.22818792
6	75	297	15.3%	0.15332989
Sysmiss		8305		NA

r28_dvianx2

Variable label:	Below are the profiles of two randomly selected people, who would you rather have as a neighbour? (version 2)
Literal question:	Below are the profiles of two randomly selected people. The characters are fictitious, but based on information from the Norwegian Citizen Panel. Please consider them carefully. Once you have considered both profiles, you can answer the questions below. Name Person 1 [r28_dvianx2_navn1] Person 2 [r28_dvianx2_navn2] Do you think it should be easier or more difficult for non-European immigrants to obtain residence in Norway? Person 1 [r28_dvianx2_holdning1] Person 2 [r28_dvianx2_holdning2] Which party did you vote for at the last general election? Person 1 [r28_dvianx2_parti1] Person 2 [r28_dvianx2_parti2] Highest completed education? Person 1 [r28_dvianx2_utd1] Person 2 [r28_dvianx2_utd2] Age Person 1 [r28_dvianx2_alder1] Person 2 [r28_dvianx2_alder2] Which of the two would you rather have as a neighbour?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3)] [Respondents was shown information about the persons in a table. Displayed on the same page as [r28_dviafx2_1] and [r28_dviafx2_2].]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-2]

Value	Label	Cases	Percentage
1	[r28_dvianx2_navn1]	955	48.6%	0.48575788
2	[r28_dvianx2_navn2]	916	46.6%	0.46592065
97	Not answered	95	4.8%	0.04832146
98	Not asked	8276		NA

r28_dviafx2_1

Variable label:	Please state how warm or cold you feel towards the two people.: [r28_dvianx2_navn1]
Pre-question text:	We ask you to state how warm or cold you feel towards the two people.
Literal question:	[r28_dvianx2_navn1]
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3)] [Respondents answered using a slider. Displayed on the same page as [r28_dvianx2] and [r28_dviafx2_2]]
Technical attributes:	[Question type:Numeric List] [Format:numeric] [Valid:1821] [Invalid:8421] [Range:0-100]

r28_dviafx2_2

Variable label:	Please state how warm or cold you feel towards the two people.: [r28_dvianx2_navn2]
Pre-question text:	We ask you to state how warm or cold you feel towards the two people.
Literal question:	[r28_dvianx2_navn2]
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3)] [Respondents answered using a slider. Displayed on the same page as [r28_dvianx2] and [r28_dviafx2_1]]
Technical attributes:	[Question type:Numeric List] [Format:numeric] [Valid:1822] [Invalid:8420] [Range:0-100]

r28_dmwpd

Variable label:	How worried are you that companies like Facebook and Google are collecting personal data about you?
Literal question:	How worried are you that companies like Facebook and Google are collecting personal data about you?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very worried	401	19.9%	0.198810114
2	Worried	673	33.4%	0.333663857
3	Somewhat worried	601	29.8%	0.297967278
4	Not very worried	295	14.6%	0.146256817
5	Not at all worried	36	1.8%	0.017848290
97	Not answered	11	0.5%	0.005453644
98	Not asked	8225		NA

r28_dmwtpx_ran

Variable label:	Experiment. Randomly selects subgroup for [r28_dmwtpx1] and [r28_dmwtpx2].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:2006] [Invalid:8236] [Range:1-4]

Value	Label	Cases	Percentage
1	Group 1 (blank, blank)	516	25.7%	0.2572283
2	Group 2 (blank, treatment)	466	23.2%	0.2323031
3	Group 3 (treatment, blank)	528	26.3%	0.2632104
4	Group 4 (treatment, treatment)	496	24.7%	0.2472582
Sysmiss		8236		NA

r28_dmwtpx_pipe1

Variable label:	Experiment. Selects an element for textpiping in [r28_dmwtpx1] and [r28_dmwtpx2].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[If [r28_dmwtpx_ran] == 1 \| 2 the first element is selected. If [r28_dmwtpx_ran] == 3 \| 4 the second element is selected.]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:2006] [Invalid:8236] [Range:1-2]

Value	Label	Cases	Percentage
1	[BLANK]	982	49.0%	0.4895314
2	For example, Facebook earned NOK 650 per European user in 2022 by using personal data for targeted advertising.	1024	51.0%	0.5104686
Sysmiss		8236		NA

r28_dmwtpx_pipe2

Variable label:	Experiment. Selects an element for textpiping in [r28_dmwtpx1] and [r28_dmwtpx2].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[If [r28_dmwtpx_ran] == 1 \| 3 the first element is selected. If [r28_dmwtpx_ran] == 2 \| 4 the second element is selected.]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:2006] [Invalid:8236] [Range:1-2]

Value	Label	Cases	Percentage
1	[BLANK]	1044	52.0%	0.5204387
2	(including information about your age, gender, personality traits, as well as physical and mental health)	962	48.0%	0.4795613
Sysmiss		8236		NA

r28_dmwtpx1

Variable label:	How much would you sell your personal data for?
Literal question:	Many apps and websites (Facebook, Instagram, Google, etc.) collect users’ personal data. [r28_dmwtpx_pipe1] If these actors did not have access to your personal data, but offered you money for your personal data, how much money would you sell them for[r28_dmwtpx_pipe2]?
Post-question:	A maximum of 15 digits can be input.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 5)] [Respondents answered by inputting a number in the sentence: ‘I would sell my personal data for ____ norwegian kroner’.]
Technical attributes:	[Question type:Numeric] [Format:numeric] [Valid:1566] [Invalid:8676] [Range:0-*]

r28_dmwtpx2

Variable label:	How much would you pay to delete your personal data?
Literal question:	Many apps and websites (such as Facebook, Instagram, and Google) collect users’ personal data. [r28_dmwtpx_pipe1]Assume they will delete the information for a fee. How much would you be willing to pay to delete all your personal data from these places[r28_dmwtpx_pipe2]?
Post-question:	A maximum of 15 digits can be input.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 5)] [Respondents answered by inputting a number in the sentence: ‘I would pay ____ norwegian kroner to delete my personal data’.]
Technical attributes:	[Question type:Numeric] [Format:numeric] [Valid:1635] [Invalid:8607] [Range:0-*]

r28_cecgw

Variable label:	To what extent do you think our way of life in Norway contributes to dangerous climate change?
Literal question:	To what extent do you think our way of life in Norway contributes to dangerous climate change?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-6]

Value	Label	Cases	Percentage
1	A very high degree	256	12.0%	0.120131394
2	A high degree	565	26.5%	0.265133740
3	Some degree	767	36.0%	0.359924918
4	A low degree	391	18.3%	0.183481933
5	Not at all	112	5.3%	0.052557485
6	Don't know	9	0.4%	0.004223369
97	Not answered	31	1.5%	0.014547161
98	Not asked	8111		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:10242] [Invalid:0] [Range:1-4]

Value	Label	Cases	Percentage
1	I don’t believe that the climate is changing.	81	0.8%	0.007908612
2	I don't know whether the climate is changing or not.	342	3.3%	0.033391916
3	I believe that the climate is changing, but that it is only to a small extent due to human action	2146	21.0%	0.209529389
4	I believe that the climate is changing, and that it is to a large extent due to human action.	7518	73.4%	0.734036321
97	Not answered	155	1.5%	0.015133763

r28_ceimp

Variable label:	How important is the climate cause for you personally?
Literal question:	How important is the climate cause for you personally?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)] [Displayed in random order with [r28_cehme], and [r28_cehfu].]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very important	473	22.4%	0.22417062
2	Important	788	37.3%	0.37345972
3	Somewhat important	546	25.9%	0.25876777
4	Not very important	214	10.1%	0.10142180
5	Not important at all	57	2.7%	0.02701422
97	Not answered	32	1.5%	0.01516588
98	Not asked	8132		NA

r28_cehme

Variable label:	To what extent do you think climate change will be harmful for you personally?
Literal question:	To what extent do you think climate change will be harmful for you personally?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)] [Displayed in random order with [r28_ceimp], and [r28_cehfu].]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	A high degree	146	6.9%	0.06919431
2	Some degree	994	47.1%	0.47109005
3	A low degree	733	34.7%	0.34739336
4	Not at all	150	7.1%	0.07109005
5	Don't know	55	2.6%	0.02606635
97	Not answered	32	1.5%	0.01516588
98	Not asked	8132		NA

r28_cehfu

Variable label:	To what extent do you think climate change will be harmful for future generations?
Literal question:	To what extent do you think climate change will be harmful for future generations?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)] [Displayed in random order with [r28_ceimp], and [r28_cehme].]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	A high degree	1220	57.8%	0.57819905
2	Some degree	615	29.1%	0.29146919
3	A low degree	153	7.3%	0.07251185
4	Not at all	36	1.7%	0.01706161
5	Don't know	53	2.5%	0.02511848
97	Not answered	33	1.6%	0.01563981
98	Not asked	8132		NA

r28_cewna

Variable label:	How worried are you about the degradation of nature?
Literal question:	How worried are you about the degradation of nature?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Not worried at all	25	1.2%	0.01184834
2	Not very worried	180	8.5%	0.08530806
3	Somewhat worried	537	25.5%	0.25450237
4	Worried	721	34.2%	0.34170616
5	Very worried	611	29.0%	0.28957346
97	Not answered	36	1.7%	0.01706161
98	Not asked	8132		NA

r28_ceact_1

Variable label:	Agree/disagree: Media stories about climate activists: I sympathise with the climate activists.
Pre-question text:	Lately, there have been some media stories about climate activists throwing paint at artwork, gluing themselves to buildings, or stopping traffic. To what extent do you agree or disagree with these statements?
Literal question:	I sympathise with the climate activists.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	54	2.6%	0.02559242
2	Agree	160	7.6%	0.07582938
3	Agree somewhat	293	13.9%	0.13886256
4	Neither agree nor disagree	348	16.5%	0.16492891
5	Disagree somewhat	212	10.0%	0.10047393
6	Disagree	384	18.2%	0.18199052
7	Strongly disagree	607	28.8%	0.28767773
97	Not answered	52	2.5%	0.02464455
98	Not asked	8132		NA

r28_ceact_2

Variable label:	Agree/disagree: Media stories about climate activists: It makes me think about what I can do for the climate.
Pre-question text:	Lately, there have been some media stories about climate activists throwing paint at artwork, gluing themselves to buildings, or stopping traffic. To what extent do you agree or disagree with these statements?
Literal question:	It makes me think about what I can do for the climate.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	48	2.3%	0.02274882
2	Agree	203	9.6%	0.09620853
3	Agree somewhat	376	17.8%	0.17819905
4	Neither agree nor disagree	433	20.5%	0.20521327
5	Disagree somewhat	157	7.4%	0.07440758
6	Disagree	394	18.7%	0.18672986
7	Strongly disagree	447	21.2%	0.21184834
97	Not answered	52	2.5%	0.02464455
98	Not asked	8132		NA

r28_ceact_3

Variable label:	Agree/disagree: Media stories about climate activists: I think such activism is not good for the climate cause.
Pre-question text:	Lately, there have been some media stories about climate activists throwing paint at artwork, gluing themselves to buildings, or stopping traffic. To what extent do you agree or disagree with these statements?
Literal question:	I think such activism is not good for the climate cause.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	583	27.6%	0.27630332
2	Agree	469	22.2%	0.22227488
3	Agree somewhat	421	20.0%	0.19952607
4	Neither agree nor disagree	253	12.0%	0.11990521
5	Disagree somewhat	148	7.0%	0.07014218
6	Disagree	124	5.9%	0.05876777
7	Strongly disagree	71	3.4%	0.03364929
97	Not answered	41	1.9%	0.01943128
98	Not asked	8132		NA

r28_ceact_4

Variable label:	Agree/disagree: Media stories about climate activists: I get angry at the climate activists.
Pre-question text:	Lately, there have been some media stories about climate activists throwing paint at artwork, gluing themselves to buildings, or stopping traffic. To what extent do you agree or disagree with these statements?
Literal question:	I get angry at the climate activists.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	320	15.2%	0.15165877
2	Agree	314	14.9%	0.14881517
3	Agree somewhat	362	17.2%	0.17156398
4	Neither agree nor disagree	432	20.5%	0.20473934
5	Disagree somewhat	166	7.9%	0.07867299
6	Disagree	279	13.2%	0.13222749
7	Strongly disagree	185	8.8%	0.08767773
97	Not answered	52	2.5%	0.02464455
98	Not asked	8132		NA

r28_ceact_5

Variable label:	Agree/disagree: Media stories about climate activists: I think such climate activism is ridiculous.
Pre-question text:	Lately, there have been some media stories about climate activists throwing paint at artwork, gluing themselves to buildings, or stopping traffic. To what extent do you agree or disagree with these statements?
Literal question:	I think such climate activism is ridiculous.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	470	22.3%	0.22274882
2	Agree	319	15.1%	0.15118483
3	Agree somewhat	295	14.0%	0.13981043
4	Neither agree nor disagree	345	16.4%	0.16350711
5	Disagree somewhat	208	9.9%	0.09857820
6	Disagree	246	11.7%	0.11658768
7	Strongly disagree	172	8.2%	0.08151659
97	Not answered	55	2.6%	0.02606635
98	Not asked	8132		NA

r28_ceact_6

Variable label:	Agree/disagree: Media stories about climate activists: I am proud of the climate activists.
Pre-question text:	Lately, there have been some media stories about climate activists throwing paint at artwork, gluing themselves to buildings, or stopping traffic. To what extent do you agree or disagree with these statements?
Literal question:	I am proud of the climate activists.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	43	2.0%	0.02037915
2	Agree	100	4.7%	0.04739336
3	Agree somewhat	215	10.2%	0.10189573
4	Neither agree nor disagree	335	15.9%	0.15876777
5	Disagree somewhat	201	9.5%	0.09526066
6	Disagree	442	20.9%	0.20947867
7	Strongly disagree	721	34.2%	0.34170616
97	Not answered	53	2.5%	0.02511848
98	Not asked	8132		NA

r28_ceact_7

Variable label:	Agree/disagree: Media stories about climate activists: The climate activists make me depressed.
Pre-question text:	Lately, there have been some media stories about climate activists throwing paint at artwork, gluing themselves to buildings, or stopping traffic. To what extent do you agree or disagree with these statements?
Literal question:	The climate activists make me depressed.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	223	10.6%	0.10568720
2	Agree	266	12.6%	0.12606635
3	Agree somewhat	289	13.7%	0.13696682
4	Neither agree nor disagree	620	29.4%	0.29383886
5	Disagree somewhat	156	7.4%	0.07393365
6	Disagree	320	15.2%	0.15165877
7	Strongly disagree	184	8.7%	0.08720379
97	Not answered	52	2.5%	0.02464455
98	Not asked	8132		NA

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very satisfied	1439	14.0%	0.14049990
2	Satisfied	5295	51.7%	0.51698887
3	Somewhat satisfied	2243	21.9%	0.21900020
4	Dissatisfied	894	8.7%	0.08728764
5	Not satisfied at all	245	2.4%	0.02392111
97	Not answered	126	1.2%	0.01230228

r28_cppri_1

Variable label:	Economic priorities of the government: Which of the following measures do you consider most important to implement?: Increasing the minimum pension
Pre-question text:	Imagine that governments had to prioritise more strictly in the years ahead, and therefore cannot spend money on everything that they want. Which of the following measures do you consider most important to implement?
Literal question:	Increase the minimum pension
Post-question:	You can hand out 100 points when giving your opinion. Give the most points to the measure you think is most important and least points to the measure you consider less important.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)] [Answer list display order: Randomize] [Respondents was to allocate 100 points between the interventions listed in [r28_cppri_1] - [r28_cppri_6].]
Technical attributes:	[Question type:Numeric List] [Format:numeric] [Valid:1821] [Invalid:8421] [Range:0-100]

r28_cppri_2

Variable label:	Economic priorities of the government: Which of the following measures do you consider most important to implement?: Lowering income taxes
Pre-question text:	Imagine that governments had to prioritise more strictly in the years ahead, and therefore cannot spend money on everything that they want. Which of the following measures do you consider most important to implement?
Literal question:	Lower income taxes
Post-question:	You can hand out 100 points when giving your opinion. Give the most points to the measure you think is most important and least points to the measure you consider less important.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)] [Answer list display order: Randomize] [Respondents was to allocate 100 points between the interventions listed in [r28_cppri_1] - [r28_cppri_6].]
Technical attributes:	[Question type:Numeric List] [Format:numeric] [Valid:1340] [Invalid:8902] [Range:0-100]

r28_cppri_3

Variable label:	Economic priorities of the government: Which of the following measures do you consider most important to implement?: Increasing child benefit
Pre-question text:	Imagine that governments had to prioritise more strictly in the years ahead, and therefore cannot spend money on everything that they want. Which of the following measures do you consider most important to implement?
Literal question:	Increase child benefit
Post-question:	You can hand out 100 points when giving your opinion. Give the most points to the measure you think is most important and least points to the measure you consider less important.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)] [Answer list display order: Randomize] [Respondents was to allocate 100 points between the interventions listed in [r28_cppri_1] - [r28_cppri_6].]
Technical attributes:	[Question type:Numeric List] [Format:numeric] [Valid:1564] [Invalid:8678] [Range:0-100]

r28_cppri_4

Variable label:	Economic priorities of the government: Which of the following measures do you consider most important to implement?: Increasing student finance for students
Pre-question text:	Imagine that governments had to prioritise more strictly in the years ahead, and therefore cannot spend money on everything that they want. Which of the following measures do you consider most important to implement?
Literal question:	Increase student finance for students
Post-question:	You can hand out 100 points when giving your opinion. Give the most points to the measure you think is most important and least points to the measure you consider less important.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)] [Answer list display order: Randomize] [Respondents was to allocate 100 points between the interventions listed in [r28_cppri_1] - [r28_cppri_6].]
Technical attributes:	[Question type:Numeric List] [Format:numeric] [Valid:1617] [Invalid:8625] [Range:0-100]

r28_cppri_5

Variable label:	Economic priorities of the government: Which of the following measures do you consider most important to implement?: Providing more financial support to rural municipalities struggling to finance local services
Pre-question text:	Imagine that governments had to prioritise more strictly in the years ahead, and therefore cannot spend money on everything that they want. Which of the following measures do you consider most important to implement?
Literal question:	Provide more financial support to rural municipalities struggling to finance local services
Post-question:	You can hand out 100 points when giving your opinion. Give the most points to the measure you think is most important and least points to the measure you consider less important.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)] [Answer list display order: Randomize] [Respondents was to allocate 100 points between the interventions listed in [r28_cppri_1] - [r28_cppri_6].]
Technical attributes:	[Question type:Numeric List] [Format:numeric] [Valid:1700] [Invalid:8542] [Range:0-100]

r28_cppri_6

Variable label:	Economic priorities of the government: Which of the following measures do you consider most important to implement?: Providing more financial support to metropolitan municipalities struggling to finance local services
Pre-question text:	Imagine that governments had to prioritise more strictly in the years ahead, and therefore cannot spend money on everything that they want. Which of the following measures do you consider most important to implement?
Literal question:	Provide more financial support to metropolitan municipalities struggling to finance local services
Post-question:	You can hand out 100 points when giving your opinion. Give the most points to the measure you think is most important and least points to the measure you consider less important.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1)] [Answer list display order: Randomize] [Respondents was to allocate 100 points between the interventions listed in [r28_cppri_1] - [r28_cppri_6].]
Technical attributes:	[Question type:Numeric List] [Format:numeric] [Valid:1495] [Invalid:8747] [Range:0-100]

r28_facco

Variable label:	Do you think that children should be taught to think that most people can be trusted, or that one can’t be too careful when dealing with others?
Literal question:	Do you think that children should be taught to think that most people can be trusted, or that one can’t be too careful when dealing with others?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-10]

Value	Label	Cases	Percentage
1	1 - Cannot be careful enough	23	1.1%	0.01090047
2	2	30	1.4%	0.01421801
3	3	85	4.0%	0.04028436
4	4	106	5.0%	0.05023697
5	5	253	12.0%	0.11990521
6	6	218	10.3%	0.10331754
7	7	464	22.0%	0.21990521
8	8	589	27.9%	0.27914692
9	9	209	9.9%	0.09905213
10	10 – Most people can be trusted	103	4.9%	0.04881517
97	Not answered	30	1.4%	0.01421801
98	Not asked	8132		NA

r28_faccg

Variable label:	Do you believe that children should be taught to think that the state mostly acts in the interests of the population, or that the state mostly does not act in the interests of the population?
Literal question:	Do you believe that children should be taught to think that the state mostly acts in the interests of the population, or that the state mostly does not act in the interests of the population?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-10]

Value	Label	Cases	Percentage
1	1 - The state does not act in the interests of the population	38	1.8%	0.01800948
2	2	25	1.2%	0.01184834
3	3	73	3.5%	0.03459716
4	4	93	4.4%	0.04407583
5	5	205	9.7%	0.09715640
6	6	175	8.3%	0.08293839
7	7	361	17.1%	0.17109005
8	8	569	27.0%	0.26966825
9	9	355	16.8%	0.16824645
10	10 - The state acts in the interests of the population	166	7.9%	0.07867299
97	Not answered	50	2.4%	0.02369668
98	Not asked	8132		NA

r28_fasph

Variable label:	If you live with others, how often do you talk about social issues or politics in your home?
Literal question:	If you live with others, how often do you talk about social issues or politics in your home?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 2)] [Displayed on the same page with [r28_faspl], [r28_faspc], and [r28_faspm].]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Daily or almost daily	811	38.4%	0.38436019
2	Weekly (at least once every week)	666	31.6%	0.31563981
3	Monthly (at least once every month)	197	9.3%	0.09336493
4	Never or almost never	75	3.6%	0.03554502
5	I live alone	337	16.0%	0.15971564
97	Not answered	24	1.1%	0.01137441
98	Not asked	8132		NA

r28_faspl

Variable label:	How often do you talk about social issues or politics while your child(ren) is/are listening?
Literal question:	How often do you talk about social issues or politics while your child(ren) is/are listening?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if the respondent has previously stated that it has kids under 16 living at home and (r28_group = 2)] [Displayed on the same page with [r28_fasph], [r28_faspc], and [r28_faspm].]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-4]

Value	Label	Cases	Percentage
1	Daily or almost daily	67	25.6%	0.255725191
2	Weekly (at least once every week)	101	38.5%	0.385496183
3	Monthly (at least once every month)	65	24.8%	0.248091603
4	Never or almost never	28	10.7%	0.106870229
97	Not answered	1	0.4%	0.003816794
98	Not asked	9980		NA

r28_faspc

Variable label:	How often do you talk about social issues or politics with your child(ren)?
Literal question:	How often do you talk about social issues or politics with your child(ren)?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if the respondent has previously stated that it has kids under 16 living at home and (r28_group = 2)] [Displayed on the same page with [r28_fasph], [r28_faspl], and [r28_faspm].]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-4]

Value	Label	Cases	Percentage
1	Daily or almost daily	37	14.1%	0.141221374
2	Weekly (at least once every week)	91	34.7%	0.347328244
3	Monthly (at least once every month)	66	25.2%	0.251908397
4	Never or almost never	66	25.2%	0.251908397
97	Not answered	2	0.8%	0.007633588
98	Not asked	9980		NA

r28_faspm

Variable label:	How often is/are your child/children with you when you see, hear or read media stories about social issues or politics?
Literal question:	How often is/are your child/children with you when you see, hear or read media stories about social issues or politics?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if the respondent has previously stated that it has kids under 16 living at home and (r28_group = 2)] [Displayed on the same page with [r28_fasph], [r28_faspl], and [r28_faspc].]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-4]

Value	Label	Cases	Percentage
1	Daily or almost daily	54	20.6%	0.206106870
2	Weekly (at least once every week)	90	34.4%	0.343511450
3	Monthly (at least once every month)	61	23.3%	0.232824427
4	Never or almost never	55	21.0%	0.209923664
97	Not answered	2	0.8%	0.007633588
98	Not asked	9980		NA

r28_dvnei

Variable label:	Easier/more difficult: for non-European immigrants to obtain residence in Norway
Literal question:	Do you think it should be easier or more difficult for non-European immigrants to obtain residence in Norway?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-6]

Value	Label	Cases	Percentage
1	Much easier	31	1.6%	0.01576806
2	Easier	228	11.6%	0.11597152
3	Somewhat easier	680	34.6%	0.34587996
4	Slightly more difficult	535	27.2%	0.27212614
5	More difficult	246	12.5%	0.12512716
6	Much more difficult	189	9.6%	0.09613428
97	Not answered	57	2.9%	0.02899288
98	Not asked	8276		NA

r28_dvimc_1

Variable label:	Describes you: It is important for me personally to be unprejudiced towards immigrants
Pre-question text:	How well or poorly would you say the following descriptions apply to you:
Literal question:	It is important for me personally to be unprejudiced towards immigrants
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Very well	506	23.7%	0.237447208
2	Well	815	38.2%	0.382449554
3	Somewhat well	333	15.6%	0.156264664
4	Neither well nor poorly	291	13.7%	0.136555608
5	Somewhat poorly	86	4.0%	0.040356640
6	Poorly	33	1.5%	0.015485687
7	Very poorly	19	0.9%	0.008916002
97	Not answered	48	2.3%	0.022524636
98	Not asked	8111		NA

r28_dvimc_2

Variable label:	Describes you: I don’t want to appear racist, not even to myself
Pre-question text:	How well or poorly would you say the following descriptions apply to you:
Literal question:	I don’t want to appear racist, not even to myself
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Very well	511	24.0%	0.23979352
2	Well	757	35.5%	0.35523229
3	Somewhat well	274	12.9%	0.12857813
4	Neither well nor poorly	356	16.7%	0.16705772
5	Somewhat poorly	86	4.0%	0.04035664
6	Poorly	56	2.6%	0.02627874
7	Very poorly	31	1.5%	0.01454716
97	Not answered	60	2.8%	0.02815580
98	Not asked	8111		NA

r28_dvimc_3

Variable label:	Describes you: I feel guilty if I think negatively about immigrants
Pre-question text:	How well or poorly would you say the following descriptions apply to you:
Literal question:	I feel guilty if I think negatively about immigrants
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Very well	156	7.3%	0.07320507
2	Well	389	18.3%	0.18254341
3	Somewhat well	334	15.7%	0.15673393
4	Neither well nor poorly	579	27.2%	0.27170343
5	Somewhat poorly	212	9.9%	0.09948381
6	Poorly	245	11.5%	0.11496950
7	Very poorly	158	7.4%	0.07414359
97	Not answered	58	2.7%	0.02721727
98	Not asked	8111		NA

r28_dvimc_4

Variable label:	Describes you: I try to be unprejudiced towards immigrants because of my own convictions
Pre-question text:	How well or poorly would you say the following descriptions apply to you:
Literal question:	I try to be unprejudiced towards immigrants because of my own convictions
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Very well	417	19.6%	0.19568278
2	Well	870	40.8%	0.40825903
3	Somewhat well	337	15.8%	0.15814172
4	Neither well nor poorly	323	15.2%	0.15157203
5	Somewhat poorly	73	3.4%	0.03425622
6	Poorly	34	1.6%	0.01595495
7	Very poorly	22	1.0%	0.01032379
97	Not answered	55	2.6%	0.02580948
98	Not asked	8111		NA

r28_cereix

Variable label:	Agree/disagree: Developing more renewable energy is more important than preserving the cultural rights of indigenous peoples
Literal question:	The development of renewable energy facilities, such as large wind farms and hydropower plants, is often presented as necessary in order to slow down climate change. However, they take up a lot of space, and development may conflict with the rights of indigenous peoples living in the same area. The facilities can interfere with their cultural practices and way of life. To what extent do you agree with the following statement: “Developing more renewable energy is more important than preserving the cultural rights of indigenous peoples”?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4, 5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	359	8.7%	0.08654773
2	Agree	524	12.6%	0.12632594
3	Agree somewhat	852	20.5%	0.20540019
4	Neither agree nor disagree	527	12.7%	0.12704918
5	Disagree somewhat	583	14.1%	0.14054966
6	Disagree	661	15.9%	0.15935391
7	Strongly disagree	583	14.1%	0.14054966
97	Not answered	59	1.4%	0.01422372
98	Not asked	6094		NA

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	3173	31.0%	0.30980277
2	Agree	2875	28.1%	0.28070689
3	Agree somewhat	2004	19.6%	0.19566491
4	Neither agree nor disagree	861	8.4%	0.08406561
5	Disagree somewhat	636	6.2%	0.06209725
6	Disagree	387	3.8%	0.03778559
7	Strongly disagree	157	1.5%	0.01532904
97	Not answered	149	1.5%	0.01454794

r28_heanwx_ran1

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_heanwx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 1, 2, 5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:6088] [Invalid:4154] [Range:1-2]

Value	Label	Cases	Percentage
1	[BLANK]	3008	49.4%	0.4940867
2	Antibiotic resistance means that bacteria are resistant to antibiotics, i.e. bacteria cannot be killed by these drugs. Bacterial resistance to antibiotics is a growing problem.	3080	50.6%	0.5059133
Sysmiss		4154		NA

r28_heanwx_ran2

Variable label:	Experiment. Randomly selects an element for textpiping in [r28_heanwx].
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Randomized if (r28_group = 1, 2, 5)] [Answer list display order: Randomized]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:6088] [Invalid:4154] [Range:1-2]

Value	Label	Cases	Percentage
1	antibiotic resistance	3076	50.5%	0.5052562
2	antibiotics losing their effect	3012	49.5%	0.4947438
Sysmiss		4154		NA

r28_heanwx

Variable label:	How worried are you about [r28_heanwx_ran2]?
Literal question:	[r28_heanwx_ran1] How worried are you about [r28_heanwx_ran2]?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1, 2, 5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Not at all worried	92	1.5%	0.01497152
2	Not very worried	593	9.7%	0.09650122
3	Somewhat worried	1781	29.0%	0.28982913
4	Worried	2404	39.1%	0.39121237
5	Very worried	1183	19.3%	0.19251424
97	Not answered	92	1.5%	0.01497152
98	Not asked	4097		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:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	1406	13.7%	0.13727788
2	Agree	2295	22.4%	0.22407733
3	Agree somewhat	2527	24.7%	0.24672915
4	Neither agree nor disagree	1732	16.9%	0.16910760
5	Disagree somewhat	974	9.5%	0.09509861
6	Disagree	847	8.3%	0.08269869
7	Strongly disagree	304	3.0%	0.02968170
97	Not answered	157	1.5%	0.01532904

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:10242] [Invalid:0] [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.	3142	30.7%	0.30677602
2	In 2025, people should still have the opportunity to purchase new private cars which run on diesel or petrol.	6913	67.5%	0.67496583
97	Not answered	187	1.8%	0.01825815

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	459	4.5%	0.04481547
2	Agree	1154	11.3%	0.11267331
3	Agree somewhat	2356	23.0%	0.23003320
4	Neither agree nor disagree	1317	12.9%	0.12858817
5	Disagree somewhat	2218	21.7%	0.21655927
6	Disagree	1689	16.5%	0.16490920
7	Strongly disagree	904	8.8%	0.08826401
97	Not answered	145	1.4%	0.01415739

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	A very great advantage	388	3.8%	0.03788323
2	A great advantage	2017	19.7%	0.19693419
3	A slight advantage	3936	38.4%	0.38429994
4	Neither an advantage nor a disadvantage	1417	13.8%	0.13835188
5	A slight disadvantage	1485	14.5%	0.14499121
6	A great disadvantage	508	5.0%	0.04959969
7	A very great disadvantage	291	2.8%	0.02841242
97	Not answered	200	2.0%	0.01952744

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	778	7.6%	0.07596173
2	Agree	1723	16.8%	0.16822886
3	Agree somewhat	2290	22.4%	0.22358914
4	Neither agree nor disagree	1087	10.6%	0.10613161
5	Disagree somewhat	1279	12.5%	0.12487795
6	Disagree	1280	12.5%	0.12497559
7	Strongly disagree	1609	15.7%	0.15709822
97	Not answered	196	1.9%	0.01913689

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	1687	16.5%	0.16471392
2	Agree	3001	29.3%	0.29300918
3	Agree somewhat	2265	22.1%	0.22114821
4	Neither agree nor disagree	910	8.9%	0.08884983
5	Disagree somewhat	665	6.5%	0.06492872
6	Disagree	566	5.5%	0.05526264
7	Strongly disagree	954	9.3%	0.09314587
97	Not answered	194	1.9%	0.01894161

r28_bglrs

Variable label:	Personal placement on political left and right wing scale
Pre-question text:	In politics people often talk about the “left wing” and the “right wing.” Below is a scale where 0 represents those who are on the far left politically, while 10 represents those who are on the far right.
Literal question:	Where would you place yourself on such a scale?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked] [Respondents answered using a slider.]
Technical attributes:	[Question type:Numeric] [Format:numeric] [Valid:9928] [Invalid:314] [Range:0-10]

Value	Label	Cases	Percentage
0	0 – Left wing	245	2.5%	0.02467768
1	1	593	6.0%	0.05973006
2	2	1196	12.0%	0.12046737
3	3	1342	13.5%	0.13517325
4	4	1089	11.0%	0.10968977
5	5	1267	12.8%	0.12761886
6	6	994	10.0%	0.10012087
7	7	1330	13.4%	0.13396454
8	8	1185	11.9%	0.11935939
9	9	479	4.8%	0.04824738
10	10 – Right wing	208	2.1%	0.02095085
Sysmiss		314		NA

r28_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:	In this context, we are thinking about Norwegian conditions.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4, 5)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	A city	1061	25.6%	0.25578592
2	A suburb or the outskirts of a city	854	20.6%	0.20588235
3	A small or medium sized town	1157	27.9%	0.27892960
4	A village	604	14.6%	0.14561234
5	A sparsely inhabited area	415	10.0%	0.10004822
97	Not answered	57	1.4%	0.01374156
98	Not asked	6094		NA

r28_ecinv_1

Variable label:	Do you or someone you have joint finances with own listed shares?: Yes, Norwegian shares or securities
Pre-question text:	Do you or someone you have joint finances with own listed shares?
Literal question:	Yes, Norwegian shares or securities
Post-question:	You can select several alternatives.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4)]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10242] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	534	25.1%	0.25058658
0	Not selected	1563	73.3%	0.73345847
97	Not answered	34	1.6%	0.01595495
98	Not asked	8111		NA

r28_ecinv_2

Variable label:	Do you or someone you have joint finances with own listed shares?: Yes, foreign shares or securities
Pre-question text:	Do you or someone you have joint finances with own listed shares?
Literal question:	Yes, foreign shares or securities
Post-question:	You can select several alternatives.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4)]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10242] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	136	6.4%	0.06381980
0	Not selected	1961	92.0%	0.92022525
97	Not answered	34	1.6%	0.01595495
98	Not asked	8111		NA

r28_ecinv_3

Variable label:	Do you or someone you have joint finances with own listed shares?: Yes, funds (equity funds, index funds, fund savings)
Pre-question text:	Do you or someone you have joint finances with own listed shares?
Literal question:	Yes, funds (equity funds, index funds, fund savings)
Post-question:	You can select several alternatives.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4)]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10242] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	972	45.6%	0.45612389
0	Not selected	1125	52.8%	0.52792116
97	Not answered	34	1.6%	0.01595495
98	Not asked	8111		NA

r28_ecinv_4

Variable label:	Do you or someone you have joint finances with own listed shares?: No
Pre-question text:	Do you or someone you have joint finances with own listed shares?
Literal question:	No
Post-question:	You can select several alternatives.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4)]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10242] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	866	40.6%	0.40638198
0	Not selected	1231	57.8%	0.57766307
97	Not answered	34	1.6%	0.01595495
98	Not asked	8111		NA

r28_ecinvf

Variable label:	If you trade in shares or securities, how often do you do so?
Literal question:	If you personally trade in shares or securities, how often do you do it?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_ecinv_1 == 1) \| (r28_ecinv_2 == 1) & (r28_group = 4)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Daily	1	0.2%	0.001773050
2	Weekly	18	3.2%	0.031914894
3	Monthly	104	18.4%	0.184397163
4	Less frequently	151	26.8%	0.267730496
6	Own shares but do not actively trade	247	43.8%	0.437943262
7	Do not own shares	41	7.3%	0.072695035
97	Not answered	2	0.4%	0.003546099
98	Not asked	9678		NA

r28_ecinfp

Variable label:	Approximately what percentage of the population do you think invest monthly or more often in individual shares or securities?
Literal question:	Approximately what percentage of the population do you think invest monthly or more often in individual shares or securities?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 4)] [Respondents answered using a slider.]
Technical attributes:	[Question type:Numeric] [Format:numeric] [Valid:2011] [Invalid:8231] [Range:0-84]

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:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	A very high degree	439	4.3%	0.04286272
2	A high degree	1519	14.8%	0.14831088
3	Some degree	4634	45.2%	0.45245069
4	A low degree	3088	30.2%	0.30150361
5	Not at all	397	3.9%	0.03876196
97	Not answered	165	1.6%	0.01611013

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:10242] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Not at all worried	488	4.8%	0.04764694
2	Not very worried	1390	13.6%	0.13571568
3	Somewhat worried	2871	28.0%	0.28031634
4	Worried	3390	33.1%	0.33099004
5	Very worried	1947	19.0%	0.19009959
97	Not answered	156	1.5%	0.01523140

r28_avslutt

Variable label:	Closing comments
Field period:	23.10.2023 - 12.11.2023
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:10242] [Range:-]

r28P1

Variable label:	Gender
Technical attributes:	[Question type: -] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-2]

Value	Label	Cases	Percentage
1	Male	5184	50.6%	0.5061511
2	Female	5058	49.4%	0.4938489

r28P2

Variable label:	Region
Technical attributes:	[Question type: -] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-6]

Value	Label	Cases	Percentage
1	Oslo	1608	15.7%	0.15700059
2	Østlandet	3678	35.9%	0.35910955
3	Sørlandet	501	4.9%	0.04891623
4	Vestlandet	2869	28.0%	0.28012107
5	Trøndelag	822	8.0%	0.08025776
6	Nord-Norge	764	7.5%	0.07459481

r28P3

Variable label:	County
Technical attributes:	[Question type: -] [Format:numeric] [Valid:10242] [Invalid:0] [Range:3-54]

Value	Label	Cases	Percentage
3	Oslo	1608	15.7%	0.15700059
11	Rogaland	1003	9.8%	0.09793009
15	Møre og Romsdal	411	4.0%	0.04012888
18	Nordland	379	3.7%	0.03700449
30	Viken	2341	22.9%	0.22856864
34	Innlandet	534	5.2%	0.05213825
38	Vestfold og Telemark	803	7.8%	0.07840266
42	Agder	501	4.9%	0.04891623
46	Vestland	1455	14.2%	0.14206210
50	Trøndelag	822	8.0%	0.08025776
54	Troms og Finnmark	385	3.8%	0.03759031

r28P3_2

Variable label:	Constituencies parliament election 2021
Technical attributes:	[Question type: -] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-19]

Value	Label	Cases	Percentage
3	Østfold	472	4.6%	0.046084749
1	Akershus	1411	13.8%	0.137766061
2	Oslo	1608	15.7%	0.157000586
5	Hedmark	283	2.8%	0.027631322
6	Oppland	251	2.5%	0.024506932
7	Buskerud	458	4.5%	0.044717829
4	Vestfold	529	5.2%	0.051650068
8	Telemark	274	2.7%	0.026752587
10	Aust-Agder	176	1.7%	0.017184144
9	Vest-Agder	325	3.2%	0.031732084
11	Rogaland	1003	9.8%	0.097930092
12	Hordaland	1281	12.5%	0.125073228
13	Sogn og Fjordane	174	1.7%	0.016988869
14	Møre og Romsdal	411	4.0%	0.040128881
16	Sør-Trøndelag	665	6.5%	0.064928725
15	Nord-Trøndelag	157	1.5%	0.015329037
17	Nordland	379	3.7%	0.037004491
18	Troms	297	2.9%	0.028998243
19	Finnmark	88	0.9%	0.008592072

r28P4_1

Variable label:	Highest completed education (condensed)
Technical attributes:	[Question type: -] [Format:integer] [Valid:10242] [Invalid:0] [Range:-]

Value	Label	Cases	Percentage
1	No education/elementary school	433	4.2%	0.04227690
2	Upper secondary education	3001	29.3%	0.29300918
3	University/University college	6690	65.3%	0.65319274
97	Not answered	118	1.2%	0.01152119

r28P4_2

Variable label:	Highest completed education (expanded)
Technical attributes:	[Question type: -] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-12]

Value	Label	Cases	Percentage
1	No completed education	21	0.2%	0.002050381
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)	412	4.0%	0.040226518
3	Secondary education-general studies/programme for general studies, one-year supplementary study for university and college admission certification (VK2, VG3, High School)	897	8.8%	0.087580551
4	Secondary education-vocational line of study/education programme (VK2, VK3, VG3, apprenticeship examination, apprentices’ final exam )	1208	11.8%	0.117945714
5	Diploma from supplementary programme for general university and college admissions certification (tertiary vocational education, vocational technical college)	892	8.7%	0.087092365
6	University/College, less than 3 years, but at least 2 years (university college graduate 2 and 2½ years)	889	8.7%	0.086799453
7	College-3-4 year education (Bachelor-, cand.mag., teacher training college, school of nursing, preschool teacher, engineer, business graduate, etc.)	2106	20.6%	0.205623902
8	University-3-4 year education (Bachelor, cand.mag.)	736	7.2%	0.071860965
9	College-5-6 year education (Master, major)	807	7.9%	0.078793204
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))	1843	18.0%	0.179945323
11	Researcher level (Doctorate, Ph.d.)	309	3.0%	0.030169889
12	None of the above (please enter):	88	0.9%	0.008592072
97	Not answered	34	0.3%	0.003319664

r28P5_1

Variable label:	Year of birth (expanded)
Technical attributes:	[Question type: -] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	1939 or earlier	174	1.7%	0.01698887
2	1940-1949	1503	14.7%	0.14674868
3	1950-1959	2641	25.8%	0.25785979
4	1960-1969	2418	23.6%	0.23608670
5	1970-1979	1607	15.7%	0.15690295
6	1980-1989	1095	10.7%	0.10691271
7	1990 or later	804	7.9%	0.07850029

r28P5_2

Variable label:	Year of birth (condensed)
Technical attributes:	[Question type: -] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-3]

Value	Label	Cases	Percentage
1	1959 or earlier	4318	42.2%	0.42159734
2	1960-1989	5120	50.0%	0.49990236
3	1990 or later	804	7.9%	0.07850029

r28_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.
Technical attributes:	[Question type: -] [Format:numeric] [Valid:10242] [Invalid:0] [Range:0-4]

r28_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.
Technical attributes:	[Question type: -] [Format:numeric] [Valid:10124] [Invalid:118] [Range:0-0]

r28_generic_stratapop

Variable label:	Indicates the proportion size of strata in the population. Strata constructed with P1, P2, and age.
Technical attributes:	[Question type: -] [Format:numeric] [Valid:10242] [Invalid:0] [Range:0-0]

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1, 3, 5)] [Displayed on the same page with [r28_pcmipo_2] and [r28_pcmipo_3]] [This question is asked as an open text answer, where the respondent can write in three boxes, one for each issue. Here, the issues are manually coded into higher-level categories, according to a coding scheme. Contact us if you want to know more.]
Technical attributes:	[Question type:Open Text List] [Format:numeric] [Valid:5666] [Invalid:4576] [Range:1001-9797]

Value	Label	Cases	Percentage
1001	Health	1162	20.5%	0.2050829509
2002	Environment	902	15.9%	0.1591951994
3003	Education	362	6.4%	0.0638898694
4004	Public infrastructure	109	1.9%	0.0192375574
5005	Immigration	159	2.8%	0.0280621250
6006	Economy (private and societal)	788	13.9%	0.1390751853
7007	Labour	121	2.1%	0.0213554536
8008	Welfare	588	10.4%	0.1037769149
9009	Equality	59	1.0%	0.0104129898
1010	Culture	12	0.2%	0.0021178962
1111	Defence	94	1.7%	0.0165901871
1212	Justice	96	1.7%	0.0169431698
1313	Industry and trade	284	5.0%	0.0501235439
1414	Foreign affairs	172	3.0%	0.0303565125
1515	Regional / urban-rural	61	1.1%	0.0107659725
1616	International	95	1.7%	0.0167666784
1717	Senior citizen policies	74	1.3%	0.0130603600
1818	Family	215	3.8%	0.0379456407
1919	Tradition	5	0.1%	0.0008824568
2020	Democracy	54	1.0%	0.0095305330
2121	Ideology	3	0.1%	0.0005294741
2222	Freedom and responsibility)	44	0.8%	0.0077656195
2323	Public and private sector	48	0.8%	0.0084715849
2424	Ethics	45	0.8%	0.0079421108
3030	Other	93	1.6%	0.0164136957
9696	Incomplete answers / Do not know	17	0.3%	0.0030003530
9797	Unanswered	4	0.1%	0.0007059654
Sysmiss		4576		NA

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1, 3, 5)] [Displayed on the same page with [r28_pcmipo_1] and [r28_pcmipo_3]] [This question is asked as an open text answer, where the respondent can write in three boxes, one for each issue. Here, the issues are manually coded into higher-level categories, according to a coding scheme. Contact us if you want to know more.]
Technical attributes:	[Question type:Open Text List] [Format:numeric] [Valid:5592] [Invalid:4650] [Range:1001-9696]

Value	Label	Cases	Percentage
1001	Health	1089	19.5%	0.1947424893
2002	Environment	726	13.0%	0.1298283262
3003	Education	651	11.6%	0.1164163090
4004	Public infrastructure	268	4.8%	0.0479256080
5005	Immigration	181	3.2%	0.0323676681
6006	Economy (private and societal)	645	11.5%	0.1153433476
7007	Labour	136	2.4%	0.0243204578
8008	Welfare	457	8.2%	0.0817238913
9009	Equality	40	0.7%	0.0071530758
1010	Culture	25	0.4%	0.0044706724
1111	Defence	101	1.8%	0.0180615165
1212	Justice	114	2.0%	0.0203862661
1313	Industry and trade	295	5.3%	0.0527539342
1414	Foreign affairs	180	3.2%	0.0321888412
1515	Regional / urban-rural	48	0.9%	0.0085836910
1616	International	65	1.2%	0.0116237482
1717	Senior citizen policies	85	1.5%	0.0152002861
1818	Family	220	3.9%	0.0393419170
1919	Tradition	5	0.1%	0.0008941345
2020	Democracy	45	0.8%	0.0080472103
2121	Ideology	3	0.1%	0.0005364807
2222	Freedom and responsibility)	37	0.7%	0.0066165951
2323	Public and private sector	91	1.6%	0.0162732475
2424	Ethics	36	0.6%	0.0064377682
3030	Other	38	0.7%	0.0067954220
9696	Incomplete answers / Do not know	11	0.2%	0.0019670959
9797	Unanswered	0	0.0%	0.0000000000
Sysmiss		4650		NA

r28_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:	23.10.2023 - 12.11.2023
Technical description:	[Asked if (r28_group = 1, 3, 5)] [Displayed on the same page with [r28_pcmipo_1] and [r28_pcmipo_2]] [This question is asked as an open text answer, where the respondent can write in three boxes, one for each issue. Here, the issues are manually coded into higher-level categories, according to a coding scheme. Contact us if you want to know more.]
Technical attributes:	[Question type:Open Text List] [Format:numeric] [Valid:5467] [Invalid:4775] [Range:1001-9696]

Value	Label	Cases	Percentage
1001	Health	766	14.0%	0.140113408
2002	Environment	690	12.6%	0.126211816
3003	Education	562	10.3%	0.102798610
4004	Public infrastructure	386	7.1%	0.070605451
5005	Immigration	246	4.5%	0.044997256
6006	Economy (private and societal)	595	10.9%	0.108834827
7007	Labour	145	2.7%	0.026522773
8008	Welfare	371	6.8%	0.067861716
9009	Equality	53	1.0%	0.009694531
1010	Culture	73	1.3%	0.013352844
1111	Defence	106	1.9%	0.019389062
1212	Justice	151	2.8%	0.027620267
1313	Industry and trade	289	5.3%	0.052862630
1414	Foreign affairs	219	4.0%	0.040058533
1515	Regional / urban-rural	81	1.5%	0.014816170
1616	International	90	1.6%	0.016462411
1717	Senior citizen policies	75	1.4%	0.013718676
1818	Family	196	3.6%	0.035851472
1919	Tradition	12	0.2%	0.002194988
2020	Democracy	60	1.1%	0.010974941
2121	Ideology	6	0.1%	0.001097494
2222	Freedom and responsibility)	27	0.5%	0.004938723
2323	Public and private sector	109	2.0%	0.019937809
2424	Ethics	55	1.0%	0.010060362
3030	Other	85	1.6%	0.015547832
9696	Incomplete answers / Do not know	19	0.3%	0.003475398
9797	Unanswered	0	0.0%	0.000000000
Sysmiss		4775		NA

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:6418] [Invalid:3824] [Range:1-5]

Value	Label	Cases	Percentage
1	Disagree strongly	1135	18.7%	0.187262828
2	Disagree a little	1482	24.5%	0.244514107
3	Neither agree nor disagree	970	16.0%	0.160039597
4	Agree a little	2040	33.7%	0.336578122
5	Agree strongly	394	6.5%	0.065005775
97	Not answered	40	0.7%	0.006599571
98	Not asked	357		NA
Sysmiss		3824		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:6455] [Invalid:3787] [Range:1-5]

Value	Label	Cases	Percentage
1	Disagree strongly	140	2.3%	0.022958347
2	Disagree a little	502	8.2%	0.082322073
3	Neither agree nor disagree	699	11.5%	0.114627747
4	Agree a little	2914	47.8%	0.477861594
5	Agree strongly	1803	29.6%	0.295670712
97	Not answered	40	0.7%	0.006559528
98	Not asked	357		NA
Sysmiss		3787		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:6455] [Invalid:3787] [Range:1-5]

Value	Label	Cases	Percentage
1	Disagree strongly	2107	34.6%	0.345523122
2	Disagree a little	1674	27.5%	0.274516235
3	Neither agree nor disagree	990	16.2%	0.162348311
4	Agree a little	1078	17.7%	0.176779272
5	Agree strongly	209	3.4%	0.034273532
97	Not answered	40	0.7%	0.006559528
98	Not asked	357		NA
Sysmiss		3787		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:6450] [Invalid:3792] [Range:1-5]

Value	Label	Cases	Percentage
1	Disagree strongly	248	4.1%	0.040702445
2	Disagree a little	1118	18.3%	0.183489250
3	Neither agree nor disagree	973	16.0%	0.159691449
4	Agree a little	2510	41.2%	0.411948137
5	Agree strongly	1204	19.8%	0.197603808
97	Not answered	40	0.7%	0.006564911
98	Not asked	357		NA
Sysmiss		3792		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:6450] [Invalid:3792] [Range:1-5]

Value	Label	Cases	Percentage
1	Disagree strongly	1779	29.2%	0.291974397
2	Disagree a little	1919	31.5%	0.314951584
3	Neither agree nor disagree	962	15.8%	0.157886099
4	Agree a little	1077	17.7%	0.176760217
5	Agree strongly	316	5.2%	0.051862793
97	Not answered	40	0.7%	0.006564911
98	Not asked	357		NA
Sysmiss		3792		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:6463] [Invalid:3779] [Range:1-5]

Value	Label	Cases	Percentage
1	Disagree strongly	264	4.3%	0.043236161
2	Disagree a little	963	15.8%	0.157713724
3	Neither agree nor disagree	992	16.2%	0.162463151
4	Agree a little	2243	36.7%	0.367343596
5	Agree strongly	1604	26.3%	0.262692434
97	Not answered	40	0.7%	0.006550934
98	Not asked	357		NA
Sysmiss		3779		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:6460] [Invalid:3782] [Range:1-5]

Value	Label	Cases	Percentage
1	Disagree strongly	1024	16.8%	0.167786335
2	Disagree a little	1810	29.7%	0.296575455
3	Neither agree nor disagree	1767	29.0%	0.289529739
4	Agree a little	1314	21.5%	0.215303949
5	Agree strongly	148	2.4%	0.024250369
97	Not answered	40	0.7%	0.006554154
98	Not asked	357		NA
Sysmiss		3782		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:6460] [Invalid:3782] [Range:1-5]

Value	Label	Cases	Percentage
1	Disagree strongly	93	1.5%	0.015238407
2	Disagree a little	109	1.8%	0.017860069
3	Neither agree nor disagree	520	8.5%	0.085203998
4	Agree a little	2516	41.2%	0.412256267
5	Agree strongly	2825	46.3%	0.462887105
97	Not answered	40	0.7%	0.006554154
98	Not asked	357		NA
Sysmiss		3782		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:6456] [Invalid:3786] [Range:1-5]

Value	Label	Cases	Percentage
1	Disagree strongly	1866	30.6%	0.305951795
2	Disagree a little	1823	29.9%	0.298901459
3	Neither agree nor disagree	1062	17.4%	0.174126906
4	Agree a little	1066	17.5%	0.174782751
5	Agree strongly	242	4.0%	0.039678636
97	Not answered	40	0.7%	0.006558452
98	Not asked	357		NA
Sysmiss		3786		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:6456] [Invalid:3786] [Range:1-5]

Value	Label	Cases	Percentage
1	Disagree strongly	408	6.7%	0.066896212
2	Disagree a little	853	14.0%	0.139858993
3	Neither agree nor disagree	1535	25.2%	0.251680603
4	Agree a little	2060	33.8%	0.337760289
5	Agree strongly	1203	19.7%	0.197245450
97	Not answered	40	0.7%	0.006558452
98	Not asked	357		NA
Sysmiss		3786		NA

c16_bgbfi_source

Variable label:	Source for c16_bgbfi
Technical attributes:	[Question type: -] [Format:character] [Valid:6497] [Invalid:3745] [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:8398] [Invalid:1844] [Range:1-7]

Value	Label	Cases	Percentage
1	1 – Strongly oppose	2708	35.0%	0.349916010
2	2 – Somewhat oppose	1407	18.2%	0.181806435
3	3 – Slightly oppose	934	12.1%	0.120687427
4	4 - Neutral	1009	13.0%	0.130378602
5	5 – Slightly favor	933	12.1%	0.120558212
6	6 – Somewhat favor	586	7.6%	0.075720377
7	7 – Strongly favor	131	1.7%	0.016927252
97	Not answered	31	0.4%	0.004005685
98	Not asked	659		NA
Sysmiss		1844		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:8397] [Invalid:1845] [Range:1-7]

Value	Label	Cases	Percentage
1	1 – Strongly oppose	4720	61.0%	0.609976738
2	2 – Somewhat oppose	867	11.2%	0.112044456
3	3 – Slightly oppose	418	5.4%	0.054019126
4	4 - Neutral	859	11.1%	0.111010597
5	5 – Slightly favor	511	6.6%	0.066037736
6	6 – Somewhat favor	254	3.3%	0.032825019
7	7 – Strongly favor	78	1.0%	0.010080124
97	Not answered	31	0.4%	0.004006203
98	Not asked	659		NA
Sysmiss		1845		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:8398] [Invalid:1844] [Range:1-7]

Value	Label	Cases	Percentage
1	1 – Strongly oppose	434	5.6%	0.056079597
2	2 – Somewhat oppose	370	4.8%	0.047809795
3	3 – Slightly oppose	417	5.4%	0.053882931
4	4 - Neutral	771	10.0%	0.099625275
5	5 – Slightly favor	743	9.6%	0.096007236
6	6 – Somewhat favor	1551	20.0%	0.200413490
7	7 – Strongly favor	3422	44.2%	0.442175992
97	Not answered	31	0.4%	0.004005685
98	Not asked	659		NA
Sysmiss		1844		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:8381] [Invalid:1861] [Range:1-7]

Value	Label	Cases	Percentage
1	1 – Strongly oppose	332	4.3%	0.042994043
2	2 – Somewhat oppose	573	7.4%	0.074203574
3	3 – Slightly oppose	754	9.8%	0.097643098
4	4 - Neutral	1057	13.7%	0.136881637
5	5 – Slightly favor	840	10.9%	0.108780109
6	6 – Somewhat favor	1670	21.6%	0.216265216
7	7 – Strongly favor	2465	31.9%	0.319217819
97	Not answered	31	0.4%	0.004014504
98	Not asked	659		NA
Sysmiss		1861		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:8384] [Invalid:1858] [Range:1-7]

Value	Label	Cases	Percentage
1	1 – Strongly oppose	1612	20.9%	0.208673139
2	2 – Somewhat oppose	1626	21.0%	0.210485437
3	3 – Slightly oppose	888	11.5%	0.114951456
4	4 - Neutral	1306	16.9%	0.169061489
5	5 – Slightly favor	1050	13.6%	0.135922330
6	6 – Somewhat favor	799	10.3%	0.103430421
7	7 – Strongly favor	413	5.3%	0.053462783
97	Not answered	31	0.4%	0.004012945
98	Not asked	659		NA
Sysmiss		1858		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:8361] [Invalid:1881] [Range:1-7]

Value	Label	Cases	Percentage
1	1 – Strongly oppose	1824	23.7%	0.236821605
2	2 – Somewhat oppose	1403	18.2%	0.182160478
3	3 – Slightly oppose	874	11.3%	0.113477019
4	4 - Neutral	1642	21.3%	0.213191379
5	5 – Slightly favor	959	12.5%	0.124513113
6	6 – Somewhat favor	661	8.6%	0.085821864
7	7 – Strongly favor	308	4.0%	0.039989613
97	Not answered	31	0.4%	0.004024929
98	Not asked	659		NA
Sysmiss		1881		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:8392] [Invalid:1850] [Range:1-7]

Value	Label	Cases	Percentage
1	1 – Strongly oppose	70	0.9%	0.009052114
2	2 – Somewhat oppose	215	2.8%	0.027802923
3	3 – Slightly oppose	398	5.1%	0.051467736
4	4 - Neutral	766	9.9%	0.099055994
5	5 – Slightly favor	1344	17.4%	0.173800595
6	6 – Somewhat favor	1871	24.2%	0.241950084
7	7 – Strongly favor	3038	39.3%	0.392861761
97	Not answered	31	0.4%	0.004008793
98	Not asked	659		NA
Sysmiss		1850		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:8407] [Invalid:1835] [Range:1-7]

Value	Label	Cases	Percentage
1	1 – Strongly oppose	43	0.6%	0.005549819
2	2 – Somewhat oppose	36	0.5%	0.004646360
3	3 – Slightly oppose	70	0.9%	0.009034590
4	4 - Neutral	306	3.9%	0.039494063
5	5 – Slightly favor	691	8.9%	0.089184306
6	6 – Somewhat favor	1542	19.9%	0.199019102
7	7 – Strongly favor	5029	64.9%	0.649070728
97	Not answered	31	0.4%	0.004001033
98	Not asked	659		NA
Sysmiss		1835		NA

c23_bgsdo_source

Variable label:	Source for c23_bgsdo
Technical attributes:	[Question type: -] [Format:character] [Valid:8427] [Invalid:1815] [Range:-]

c25_bgcit

Variable label:	Citizenship
Literal question:	Citizenship. Are you:
Technical description:	Combined variable. Each respondent has been asked this question once. The question has been asked during new recruitment. [Source variables: w01_k28, w03_r3k28, r4k28, r5k28, r8k28, r11bk28, r14bk28, r16bk28, r18bk28, r22bk28, r25_bgcit]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10234] [Invalid:8] [Range:1-2]

Value	Label	Cases	Percentage
1	Norwegian citizen	9591	94.5%	0.945112337
2	Citizen of a different country. Please indicate which country:	505	5.0%	0.049763500
97	Not answered	52	0.5%	0.005124162
98	Not asked	86		NA
Sysmiss		8		NA

c25_bgcit_source

Variable label:	Source for c25_bgcit
Technical attributes:	[Question type: -] [Format:character] [Valid:10234] [Invalid:8] [Range:-]

c25_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 r25. 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-variabel if you only want respondents with the newer values. [Source variables: r10pad13, r11pkklasse, r14pkklasse, r16pkklasse, r18pkklasse, r22pkklasse, r23pkklasse, r25_bgcla]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10158] [Invalid:84] [Range:1-7]

Value	Label	Cases	Percentage
1	Lower class	134	1.3%	0.013426854
2	Working class	1219	12.2%	0.122144289
3	Lower middle class	1104	11.1%	0.110621242
4	Middle class	5564	55.8%	0.557515030
5	Upper middle class	1753	17.6%	0.175651303
6	Upper class	43	0.4%	0.004308617
7	Do not know	124	1.2%	0.012424850
97	Not answered	39	0.4%	0.003907816
98	Not asked	178		NA
Sysmiss		84		NA

c25_bgcla_source

Variable label:	Source for c25_bgcla
Technical attributes:	[Question type: -] [Format:character] [Valid:10158] [Invalid:84] [Range:-]

c25_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]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10213] [Invalid:29] [Range:1-5]

Value	Label	Cases	Percentage
1	No	9020	90.4%	0.904351313
2	I myself have immigrated to Norway	565	5.7%	0.056647283
3	Both my parents have immigrated to Norway, but I was born in Norway	39	0.4%	0.003910166
4	My mother has immigrated to Norway, but myself and my father have not immigrated	176	1.8%	0.017645879
5	My father has immigrated to Norway, but myself and my mother have not immigrated	125	1.3%	0.012532585
97	Not answered	49	0.5%	0.004912773
98	Not asked	239		NA
Sysmiss		29		NA

c25_bgimm_source

Variable label:	Source for c25_bgimm
Technical attributes:	[Question type: -] [Format:character] [Valid:10213] [Invalid:29] [Range:-]

c25_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: r25_bgrel]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:0] [Invalid:10242] [Range:-]

Value	Label	Cases
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		10242	NA

c25_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. The variable is aggregated, see “c25_bgrel” for original response options. [Source variables: r4k40_recode, r5k40_recode, r11bk40_recode, r14bk40_recode, r16bk40_recode, r18bk40_recode, r22bk40_recode, r25_bgrelrecode]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10187] [Invalid:55] [Range:1-6]

Value	Label	Cases	Percentage
1	The Church of Norway	6134	62.1%	0.620598948
2	The Catholic Church	114	1.2%	0.011533792
3	Other Christian faiths (Orthodox church, and other christian faiths, e.g. free churches, Anglican church, Pentecostalists, Jehovah's Witnesses, and Mormons)	356	3.6%	0.036017807
4	Other non-Christian religions (The Mosaic faith, eastern religions (e.g. Buddhism, Hinduism, Sikh, Shintoism, Taoism, Confucianism), and others)	58	0.6%	0.005868070
5	Islam	39	0.4%	0.003945771
6	Do not belong to any religion or religious denominations	3121	31.6%	0.315762849
97	Not answered	62	0.6%	0.006272764
98	Not asked	303		NA
Sysmiss		55		NA

c25_bgrel_recode_source

Variable label:	Source for c25_bgrel_recode
Technical attributes:	[Question type: -] [Format:character] [Valid:10187] [Invalid:55] [Range:-]

c25_bgrem

Variable label:	How often have you participated in religious meetings during the last 12 months?
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 this way in r16, most recently in r25. Here you will find the respondent’s most recent value. [Source variables: r16bk41, r18bk41, r22bk41, r25_bgrem]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:202] [Range:1-8]

Value	Label	Cases	Percentage
1	Every day	1	0.0%	0.0001971998
2	More than once a week	49	1.0%	0.0096627884
3	Once a week	96	1.9%	0.0189311773
4	Once or a few times a month	183	3.6%	0.0360875567
5	Several times a year	460	9.1%	0.0907118911
6	Once a year	657	13.0%	0.1295602445
7	Less than once a year	854	16.8%	0.1684085979
8	Never	2735	53.9%	0.5393413528
97	Not answered	36	0.7%	0.0070991915
98	Not asked	4969		NA
Sysmiss		202		NA

c25_bgrem_source

Variable label:	Source for c25_bgrem
Technical attributes:	[Question type: -] [Format:character] [Valid:10040] [Invalid:202] [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:10008] [Invalid:234] [Range:1-6]

Value	Label	Cases	Percentage
6	6 Very much resembles me	694	7.5%	0.075018917
5	5 Resembles me	2058	22.2%	0.222462436
4	4 Somewhat resembles me	3450	37.3%	0.372932656
3	3 Slightly resembles me	1791	19.4%	0.193600692
2	2 Does not resemble me	875	9.5%	0.094584369
1	1 Does not resemble me at all	331	3.6%	0.035779916
97	Not answered	52	0.6%	0.005621014
98	Not asked	757		NA
Sysmiss		234		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:10020] [Invalid:222] [Range:1-6]

Value	Label	Cases	Percentage
6	6 Very much resembles me	163	1.8%	0.017596891
5	5 Resembles me	324	3.5%	0.034977869
4	4 Somewhat resembles me	818	8.8%	0.088308323
3	3 Slightly resembles me	1150	12.4%	0.124149843
2	2 Does not resemble me	1813	19.6%	0.195724927
1	1 Does not resemble me at all	4943	53.4%	0.533628414
97	Not answered	52	0.6%	0.005613732
98	Not asked	757		NA
Sysmiss		222		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:10016] [Invalid:226] [Range:1-6]

Value	Label	Cases	Percentage
6	6 Very much resembles me	1609	17.4%	0.173776866
5	5 Resembles me	3513	37.9%	0.379414624
4	4 Somewhat resembles me	3416	36.9%	0.368938330
3	3 Slightly resembles me	549	5.9%	0.059293660
2	2 Does not resemble me	102	1.1%	0.011016308
1	1 Does not resemble me at all	18	0.2%	0.001944054
97	Not answered	52	0.6%	0.005616157
98	Not asked	757		NA
Sysmiss		226		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:10025] [Invalid:217] [Range:1-6]

Value	Label	Cases	Percentage
6	6 Very much resembles me	2414	26.0%	0.260466120
5	5 Resembles me	3427	37.0%	0.369766940
4	4 Somewhat resembles me	2538	27.4%	0.273845490
3	3 Slightly resembles me	542	5.8%	0.058480794
2	2 Does not resemble me	221	2.4%	0.023845490
1	1 Does not resemble me at all	74	0.8%	0.007984463
97	Not answered	52	0.6%	0.005610703
98	Not asked	757		NA
Sysmiss		217		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:10019] [Invalid:223] [Range:1-6]

Value	Label	Cases	Percentage
6	6 Very much resembles me	1931	20.8%	0.208486288
5	5 Resembles me	3203	34.6%	0.345821637
4	4 Somewhat resembles me	3127	33.8%	0.337616066
3	3 Slightly resembles me	747	8.1%	0.080652127
2	2 Does not resemble me	169	1.8%	0.018246599
1	1 Does not resemble me at all	33	0.4%	0.003562945
97	Not answered	52	0.6%	0.005614338
98	Not asked	757		NA
Sysmiss		223		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:10019] [Invalid:223] [Range:1-6]

Value	Label	Cases	Percentage
6	6 Very much resembles me	174	1.9%	0.018786439
5	5 Resembles me	667	7.2%	0.072014684
4	4 Somewhat resembles me	2307	24.9%	0.249082272
3	3 Slightly resembles me	3148	34.0%	0.339883395
2	2 Does not resemble me	2002	21.6%	0.216152019
1	1 Does not resemble me at all	912	9.8%	0.098466854
97	Not answered	52	0.6%	0.005614338
98	Not asked	757		NA
Sysmiss		223		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:10019] [Invalid:223] [Range:1-6]

Value	Label	Cases	Percentage
6	6 Very much resembles me	291	3.1%	0.031418700
5	5 Resembles me	1171	12.6%	0.126430577
4	4 Somewhat resembles me	3404	36.8%	0.367523213
3	3 Slightly resembles me	2830	30.6%	0.305549557
2	2 Does not resemble me	1147	12.4%	0.123839344
1	1 Does not resemble me at all	367	4.0%	0.039624271
97	Not answered	52	0.6%	0.005614338
98	Not asked	757		NA
Sysmiss		223		NA

c25_bgtiv_8

Variable label:	Resembles you: To be sucessful and to impress other people is important
Pre-question text:	Here we briefly describe some people. Read each description, and think about how much this person resembles you. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question:	It’s important to [him/her] to be successful. [He/She] likes to impress other people.
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 11, 17, 21, 22 and 25. [Source variables: r11bktivi_8, r17bktivi_8, r21bktivi_8, r22bktivi_8, r25_bgtiv_8]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10022] [Invalid:220] [Range:1-6]

Value	Label	Cases	Percentage
6	6 Very much resembles me	172	1.9%	0.01856449
5	5 Resembles me	709	7.7%	0.07652455
4	4 Somewhat resembles me	2263	24.4%	0.24425256
3	3 Slightly resembles me	3110	33.6%	0.33567188
2	2 Does not resemble me	1956	21.1%	0.21111711
1	1 Does not resemble me at all	1003	10.8%	0.10825688
97	Not answered	52	0.6%	0.00561252
98	Not asked	757		NA
Sysmiss		220		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:10017] [Invalid:225] [Range:1-6]

Value	Label	Cases	Percentage
6	6 Very much resembles me	101	1.1%	0.010907127
5	5 Resembles me	610	6.6%	0.065874730
4	4 Somewhat resembles me	2421	26.1%	0.261447084
3	3 Slightly resembles me	2995	32.3%	0.323434125
2	2 Does not resemble me	2022	21.8%	0.218358531
1	1 Does not resemble me at all	1059	11.4%	0.114362851
97	Not answered	52	0.6%	0.005615551
98	Not asked	757		NA
Sysmiss		225		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:10022] [Invalid:220] [Range:1-6]

Value	Label	Cases	Percentage
6	6 Very much resembles me	1310	14.1%	0.14139234
5	5 Resembles me	2594	28.0%	0.27997841
4	4 Somewhat resembles me	3296	35.6%	0.35574744
3	3 Slightly resembles me	1352	14.6%	0.14592553
2	2 Does not resemble me	509	5.5%	0.05493794
1	1 Does not resemble me at all	152	1.6%	0.01640583
97	Not answered	52	0.6%	0.00561252
98	Not asked	757		NA
Sysmiss		220		NA

c25_bgtiv_source

Variable label:	Source for c25_bgtiv
Technical attributes:	[Question type: -] [Format:character] [Valid:10046] [Invalid:196] [Range:-]

c25_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 and 25. [Source variables: r17oppvekstfylke, r18oppvekstfylke, r22oppvekstfylke, r25_bgupc]
Technical attributes:	[Question type:Single] [Format:integer] [Valid:8108] [Invalid:2134] [Range:-]

Value	Label	Cases	Percentage
3	Oslo	855	10.5%	0.10545141
11	Rogaland	754	9.3%	0.09299457
15	Møre og Romsdal	485	6.0%	0.05981746
18	Nordland	486	6.0%	0.05994080
30	Viken	1618	20.0%	0.19955599
34	Innlandet	551	6.8%	0.06795757
38	Vestfold og Telemark	616	7.6%	0.07597435
42	Agder	419	5.2%	0.05167736
46	Vestland	1268	15.6%	0.15638875
50	Trøndelag	692	8.5%	0.08534780
54	Troms og Finnmark	364	4.5%	0.04489393
Sysmiss		2134		NA

c25_bgupc_source

Variable label:	Source for c25_bgupc
Technical attributes:	[Question type: -] [Format:character] [Valid:8108] [Invalid:2134] [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:9692] [Invalid:550] [Range:1-13]

Value	Label	Cases	Percentage
1	The Christian Democrats	325	3.5%	0.035345296
2	The Conservative Party	1812	19.7%	0.197063622
3	The Progress Party	623	6.8%	0.067754214
4	The Liberal Party	459	5.0%	0.049918434
5	The Socialist Left Party	947	10.3%	0.102990756
6	The Centre Party	922	10.0%	0.100271887
7	The Green Party	506	5.5%	0.055029908
8	The Labour Party	2126	23.1%	0.231212616
9	The Red Party	606	6.6%	0.065905383
10	Other:	246	2.7%	0.026753670
11	Did not vote	191	2.1%	0.020772159
12	Not entitled to vote	357	3.9%	0.038825449
13	Voted blank	43	0.5%	0.004676455
97	Not answered	32	0.3%	0.003480152
98	Not asked	497		NA
Sysmiss		550		NA

c25_pcvot21_source

Variable label:	Source for c25_pcvot21
Technical attributes:	[Question type: -] [Format:character] [Valid:9692] [Invalid:550] [Range:-]

c26_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, most of or part of the time, 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 r26. 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-variabel if you only want respondents with the newer values. [Source variables: r4k42, r5k42, r8k42, r11bk42, r16bk42, r17bk42, r18bk42, r22bk42, r23bk42, r25_bgchi, r26k2_bgchi]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10204] [Invalid:38] [Range:0-6]

Value	Label	Cases	Percentage
0	None	8214	80.8%	0.8078284815
1	1	830	8.2%	0.0816286389
2	2	825	8.1%	0.0811369001
3	3	231	2.3%	0.0227183320
4	4	27	0.3%	0.0026553895
5	5	2	0.0%	0.0001966955
6	6 or more	5	0.0%	0.0004917388
97	Not answered	34	0.3%	0.0033438238
98	Not asked	36		NA
Sysmiss		38		NA

c26_bgchi_source

Variable label:	Source for c26_bgchi
Technical attributes:	[Question type: -] [Format:character] [Valid:10204] [Invalid:38] [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-variabel 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:10194] [Invalid:48] [Range:1-8]

Value	Label	Cases	Percentage
1	Less than 150 000	329	3.2%	0.032381890
2	150 001 - 300 000	1032	10.2%	0.101574803
3	300 001 - 400 000	1481	14.6%	0.145767717
4	400 001 - 500 000	1545	15.2%	0.152066929
5	500 001 - 600 000	1504	14.8%	0.148031496
6	600 001 - 700 000	1439	14.2%	0.141633858
7	700 001 - 1 000 000	1809	17.8%	0.178051181
8	More than 1 000000	961	9.5%	0.094586614
97	Not answered	60	0.6%	0.005905512
98	Not asked	34		NA
Sysmiss		48		NA

c26_bginc_source

Variable label:	Source for c26_bginc
Technical attributes:	[Question type: -] [Format:character] [Valid:10194] [Invalid:48] [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-variabel 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:9946] [Invalid:296] [Range:1-5]

Value	Label	Cases	Percentage
1	To a very great extent	96	1.0%	0.010149064
2	To a great extent	1136	12.0%	0.120097262
3	Somewhat	4170	44.1%	0.440849984
4	Slightly	3248	34.3%	0.343376678
5	Not at all	759	8.0%	0.080241040
97	Not answered	50	0.5%	0.005285971
98	Not asked	487		NA
Sysmiss		296		NA

c26_pcepe_source

Variable label:	Source for c26_pcepe
Technical attributes:	[Question type: -] [Format:character] [Valid:9946] [Invalid:296] [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-variabel 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:10007] [Invalid:235] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	368	3.8%	0.037957710
2	Agree	1003	10.3%	0.103455389
3	Agree somewhat	2713	28.0%	0.279834966
4	Neither agree nor disagree	939	9.7%	0.096854048
5	Disagree somewhat	1250	12.9%	0.128932439
6	Disagree	2430	25.1%	0.250644662
7	Strongly disagree	963	9.9%	0.099329551
97	Not answered	29	0.3%	0.002991233
98	Not asked	312		NA
Sysmiss		235		NA

c26_pcipe_source

Variable label:	Source for c26_pcipe
Technical attributes:	[Question type: -] [Format:character] [Valid:10007] [Invalid:235] [Range:-]

c26_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 r26. 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-variabel 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]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10172] [Invalid:70] [Range:1-5]

Value	Label	Cases	Percentage
1	Very interested	1593	16.0%	0.159763314
2	Interested	4731	47.4%	0.474475980
3	Somewhat interested	2887	29.0%	0.289539665
4	Not very interested	658	6.6%	0.065991375
5	Not interested at all	90	0.9%	0.009026176
97	Not answered	12	0.1%	0.001203490
98	Not asked	201		NA
Sysmiss		70		NA

c26_pcpin_source

Variable label:	Source for c26_pcpin
Technical attributes:	[Question type: -] [Format:character] [Valid:10172] [Invalid:70] [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-variabel 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:10043] [Invalid:199] [Range:1-5]

Value	Label	Cases	Percentage
1	Very satisfied	2686	26.8%	0.2683316683
2	Satisfied	5839	58.3%	0.5833166833
3	Somewhat satisfied	1175	11.7%	0.1173826174
4	Dissatisfied	259	2.6%	0.0258741259
5	Not satisfied at all	48	0.5%	0.0047952048
97	Not answered	3	0.0%	0.0002997003
98	Not asked	33		NA
Sysmiss		199		NA

c26_pcsal_source

Variable label:	Source for c26_pcsal
Technical attributes:	[Question type: -] [Format:character] [Valid:10043] [Invalid:199] [Range:-]

c27_bgciv

Variable label:	Marital status
Literal question:	What is your marital status? Select the most appropriate
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked this way in r14, most recently in r27. 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-variabel 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]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10152] [Invalid:90] [Range:1-7]

Value	Label	Cases	Percentage
1	Single	1237	12.4%	0.12372474
2	Non-domestic relationship	484	4.8%	0.04840968
3	Cohabitant	1553	15.5%	0.15533107
4	Married/legally registered partner	5732	57.3%	0.57331466
5	Divorced/separated/formerly legally registered partner	567	5.7%	0.05671134
6	Widow/widower	390	3.9%	0.03900780
7	Other:	4	0.0%	0.00040008
97	Not answered	31	0.3%	0.00310062
98	Not asked	154		NA
Sysmiss		90		NA

c27_bgciv_source

Variable label:	Source for c27_bgciv
Technical attributes:	[Question type: -] [Format:character] [Valid:10152] [Invalid:90] [Range:-]

c27_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 r27. 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 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]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10145] [Invalid:97] [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)	4549	45.4%	0.4538108540
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	321	3.2%	0.0320231445
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	317	3.2%	0.0316241022
4	Self-employed	403	4.0%	0.0402035116
5	In education (not paid by an employer)	215	2.1%	0.0214485235
6	Unemployed and actively seeking a job	77	0.8%	0.0076815642
7	Unemployed and not actively seeking a job	45	0.4%	0.0044892259
8	Permanently ill or disabled	614	6.1%	0.0612529928
9	Retired	3364	33.6%	0.3355945730
10	In military service	3	0.0%	0.0002992817
11	Working at home, minding children or providing care to other persons	53	0.5%	0.0052873105
12	Other:	49	0.5%	0.0048882682
97	Not answered	14	0.1%	0.0013966480
98	Not asked	121		NA
Sysmiss		97		NA

c27_bgday_source

Variable label:	Source for c27_bgday
Technical attributes:	[Question type: -] [Format:character] [Valid:10145] [Invalid:97] [Range:-]

c27_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 r11. Most respondents have values from the last year, but it is possible to have values back to r11. You can filter using the source-variabel if you only want respondents with the newer values. Text from the “other”-field is coded into the answer categories where possible. [Source variables: r11bk26_kodet, r14bk26_kodet, r16bk26_kodet, r17bk26_kodet, r18bk26_kodet, r20bk26, r22bk26_kodet, r25_bgedu, r26k2_bgedu, r27_bgedu]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10165] [Invalid:77] [Range:1-12]

Value	Label	Cases	Percentage
1	No completed education	22	0.2%	0.002182973
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)	407	4.0%	0.040384997
3	Secondary education-general studies/programme for general studies, one-year supplementary study for university and college admission certification (VK2, VG3, High School)	885	8.8%	0.087815043
4	Secondary education-vocational line of study/education programme (VK2, VK3, VG3, apprenticeship examination, apprentices’ final exam )	1193	11.8%	0.118376662
5	Diploma from supplementary programme for general university and college admissions certification (tertiary vocational education, vocational technical college)	898	8.9%	0.089104981
6	University/College, less than 3 years, but at least 2 years (university college graduate 2 and 2½ years)	874	8.7%	0.086723556
7	College-3-4 year education (Bachelor-, cand.mag., teacher training college, school of nursing, preschool teacher, engineer, business graduate, etc.)	2082	20.7%	0.206588609
8	University-3-4 year education (Bachelor, cand.mag.)	731	7.3%	0.072534233
9	College-5-6 year education (Master, major)	802	8.0%	0.079579282
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))	1835	18.2%	0.182079778
11	Researcher level (Doctorate, Ph.d.)	306	3.0%	0.030363167
12	None of the above (please enter):	26	0.3%	0.002579877
97	Not answered	17	0.2%	0.001686843
98	Not asked	87		NA
Sysmiss		77		NA

c27_bgedu_source

Variable label:	Source for c27_bgedu
Technical attributes:	[Question type: -] [Format:character] [Valid:10165] [Invalid:77] [Range:-]

c27_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 c27_bgedu Combined variable, with the respondent’s most recent value. The question has been asked regularly since r11. Most respondents have values from the last year, but it is possible to have values back to r11. You can filter using the source-variabel if you only want respondents with the newer values. Text from the “other”-field is coded into the answer categories where possible. [Source variables: r11bk26_kodet, r14bk26_kodet, r16bk26_kodet, r17bk26_kodet, r18bk26_kodet, r20bk26, r22bk26_kodet, r25_bgedu, r26k2_bgedu, r27_bgedu]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10165] [Invalid:77] [Range:1-3]

Value	Label	Cases	Percentage
1	No education/elementary school	429	4.3%	0.04256797
2	Upper secondary education	2976	29.5%	0.29529669
3	University/University college	6630	65.8%	0.65786862
97	Not answered	43	0.4%	0.00426672
98	Not asked	87		NA
Sysmiss		77		NA

c27_bgedu3_source

Variable label:	Source for c27_bgedu3
Technical attributes:	[Question type: -] [Format:character] [Valid:10165] [Invalid:77] [Range:-]

c27_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 r27. 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-variabel 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]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10236] [Invalid:6] [Range:1-5]

Value	Label	Cases	Percentage
1	Excellent	1151	11.3%	0.112611290
2	Very good	3282	32.1%	0.321103610
3	Good	3816	37.3%	0.373348987
4	Somewhat good	1536	15.0%	0.150278838
5	Poor	414	4.1%	0.040504843
97	Not answered	22	0.2%	0.002152431
98	Not asked	15		NA
Sysmiss		6		NA

c27_bghea_source

Variable label:	Source for c27_bghea
Technical attributes:	[Question type: -] [Format:character] [Valid:10236] [Invalid:6] [Range:-]

c27_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 r27. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_1, r8k34_1, r9k34_1, r27_bgind_1]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:8777] [Invalid:1465] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	700	8.6%	0.0858263855
0	Not selected	7454	91.4%	0.9139283963
97	Not answered	2	0.0%	0.0002452182
98	Not asked	621		NA
Sysmiss		1465		NA

c27_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 r27. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_2, r8k34_2, r9k34_2, r27_bgind_2]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:8777] [Invalid:1465] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	1357	16.6%	0.1663805787
0	Not selected	6797	83.3%	0.8333742030
97	Not answered	2	0.0%	0.0002452182
98	Not asked	621		NA
Sysmiss		1465		NA

c27_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 r27. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_3, r8k34_3, r9k34_3, r27_bgind_3]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:8777] [Invalid:1465] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	1014	12.4%	0.1243256498
0	Not selected	7140	87.5%	0.8754291319
97	Not answered	2	0.0%	0.0002452182
98	Not asked	621		NA
Sysmiss		1465		NA

c27_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 r27. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_4, r8k34_4, r9k34_4, r27_bgind_4]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:8777] [Invalid:1465] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	197	2.4%	0.0241539971
0	Not selected	7957	97.6%	0.9756007847
97	Not answered	2	0.0%	0.0002452182
98	Not asked	621		NA
Sysmiss		1465		NA

c27_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 r27. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_5, r8k34_5, r9k34_5, r27_bgind_5]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:8777] [Invalid:1465] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	390	4.8%	0.0478175576
0	Not selected	7764	95.2%	0.9519372241
97	Not answered	2	0.0%	0.0002452182
98	Not asked	621		NA
Sysmiss		1465		NA

c27_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 r27. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_6, r8k34_6, r9k34_6, r27_bgind_6]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:8777] [Invalid:1465] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	284	3.5%	0.0348209907
0	Not selected	7870	96.5%	0.9649337911
97	Not answered	2	0.0%	0.0002452182
98	Not asked	621		NA
Sysmiss		1465		NA

c27_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 r27. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_7, r8k34_7, r9k34_7, r27_bgind_7]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:8777] [Invalid:1465] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	222	2.7%	0.0272192251
0	Not selected	7932	97.3%	0.9725355566
97	Not answered	2	0.0%	0.0002452182
98	Not asked	621		NA
Sysmiss		1465		NA

c27_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 r27. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_8, r8k34_8, r9k34_8, r27_bgind_8]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:8777] [Invalid:1465] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	662	8.1%	0.0811672388
0	Not selected	7492	91.9%	0.9185875429
97	Not answered	2	0.0%	0.0002452182
98	Not asked	621		NA
Sysmiss		1465		NA

c27_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 r27. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_9, r8k34_9, r9k34_9, r27_bgind_9]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:8777] [Invalid:1465] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	572	7.0%	0.0701324179
0	Not selected	7582	93.0%	0.9296223639
97	Not answered	2	0.0%	0.0002452182
98	Not asked	621		NA
Sysmiss		1465		NA

c27_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 r27. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_10, r8k34_10, r9k34_10, r27_bgind_10]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:8777] [Invalid:1465] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	436	5.3%	0.0534575772
0	Not selected	7718	94.6%	0.9462972045
97	Not answered	2	0.0%	0.0002452182
98	Not asked	621		NA
Sysmiss		1465		NA

c27_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 r27. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_11, r8k34_11, r9k34_11, r27_bgind_11]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:8777] [Invalid:1465] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	424	5.2%	0.0519862678
0	Not selected	7730	94.8%	0.9477685140
97	Not answered	2	0.0%	0.0002452182
98	Not asked	621		NA
Sysmiss		1465		NA

c27_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 r27. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_12, r8k34_12, r9k34_12, r27_bgind_12]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:8777] [Invalid:1465] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	332	4.1%	0.0407062285
0	Not selected	7822	95.9%	0.9590485532
97	Not answered	2	0.0%	0.0002452182
98	Not asked	621		NA
Sysmiss		1465		NA

c27_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 r27. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_13, r8k34_13, r9k34_13, r27_bgind_13]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:8777] [Invalid:1465] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	248	3.0%	0.0304070623
0	Not selected	7906	96.9%	0.9693477195
97	Not answered	2	0.0%	0.0002452182
98	Not asked	621		NA
Sysmiss		1465		NA

c27_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 r27. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_14, r8k34_14, r9k34_14, r27_bgind_14]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:8777] [Invalid:1465] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	406	5.0%	0.0497793036
0	Not selected	7748	95.0%	0.9499754782
97	Not answered	2	0.0%	0.0002452182
98	Not asked	621		NA
Sysmiss		1465		NA

c27_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 r27. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_15, r8k34_15, r9k34_15, r27_bgind_15]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:8777] [Invalid:1465] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	122	1.5%	0.0149583129
0	Not selected	8032	98.5%	0.9847964689
97	Not answered	2	0.0%	0.0002452182
98	Not asked	621		NA
Sysmiss		1465		NA

c27_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 r27. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_16, r8k34_16, r9k34_16, r27_bgind_16]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:8777] [Invalid:1465] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	86	1.1%	0.0105443845
0	Not selected	8068	98.9%	0.9892103973
97	Not answered	2	0.0%	0.0002452182
98	Not asked	621		NA
Sysmiss		1465		NA

c27_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 r27. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_17, r8k34_17, r9k34_17, r27_bgind_17]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:8777] [Invalid:1465] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	481	5.9%	0.0589749877
0	Not selected	7673	94.1%	0.9407797940
97	Not answered	2	0.0%	0.0002452182
98	Not asked	621		NA
Sysmiss		1465		NA

c27_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 r27. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_18, r8k34_18, r9k34_18, r27_bgind_18]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:8777] [Invalid:1465] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	345	4.2%	0.0423001471
0	Not selected	7809	95.7%	0.9574546346
97	Not answered	2	0.0%	0.0002452182
98	Not asked	621		NA
Sysmiss		1465		NA

c27_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 r27. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_19, r8k34_19, r9k34_19, r27_bgind_19]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:8777] [Invalid:1465] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	469	5.8%	0.0575036783
0	Not selected	7685	94.2%	0.9422511035
97	Not answered	2	0.0%	0.0002452182
98	Not asked	621		NA
Sysmiss		1465		NA

c27_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 r27. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_20, r8k34_20, r9k34_20, r27_bgind_20]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:8777] [Invalid:1465] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	503	6.2%	0.0616723884
0	Not selected	7651	93.8%	0.9380823933
97	Not answered	2	0.0%	0.0002452182
98	Not asked	621		NA
Sysmiss		1465		NA

c27_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 r27. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_21, r8k34_21, r9k34_21, r27_bgind_21]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:8777] [Invalid:1465] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	687	8.4%	0.0842324669
0	Not selected	7467	91.6%	0.9155223149
97	Not answered	2	0.0%	0.0002452182
98	Not asked	621		NA
Sysmiss		1465		NA

c27_bgind_source

Variable label:	Source for c27_bgind
Technical attributes:	[Question type: -] [Format:character] [Valid:8777] [Invalid:1465] [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-variabel 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:9884] [Invalid:358] [Range:1-4]

Value	Label	Cases	Percentage
1	Yes, I [work/worked] in the oil or gas industry	357	4.2%	0.042029668
2	Yes, my job [is/was] closely associated with the oil or gas industry	330	3.9%	0.038850954
3	No, but previously I have worked in the oil/gas industry, or have been closely associated with it	250	2.9%	0.029432541
4	No	7537	88.7%	0.887332235
97	Not answered	20	0.2%	0.002354603
98	Not asked	1390		NA
Sysmiss		358		NA

c27_bgoil_source

Variable label:	Source for c27_bgoil
Technical attributes:	[Question type: -] [Format:character] [Valid:9884] [Invalid:358] [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:10242] [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-variabel 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:6759] [Invalid:3483] [Range:1-7]

Value	Label	Cases	Percentage
1	1960 - 1969	10	1.1%	0.011148272
2	1970 - 1979	137	15.3%	0.152731327
3	1980 - 1989	254	28.3%	0.283166109
4	1990 - 1999	202	22.5%	0.225195095
5	2000 - 2009	190	21.2%	0.211817168
6	2010 - 2019	89	9.9%	0.099219621
7	2020 or later	9	1.0%	0.010033445
97	Not answered	6	0.7%	0.006688963
98	Not asked	5862		NA
Sysmiss		3483		NA

c27_bgoily_decade_source

Variable label:	Source for c27_bgoily_decade
Technical attributes:	[Question type: -] [Format:character] [Valid:6759] [Invalid:3483] [Range:-]

c27_bgsct

Variable label:	Which type of business do you work in?
Literal question:	Which type of business 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 r27. Most respondents have values from the last year, but it is possible to have values back to r18. You can filter using the source-variabel 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: r18bk21_kodet, r22bk21_kodet, r23bk21_kodet, r25_bgwor, r26_bgsct, r27_bgsct]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10071] [Invalid:171] [Range:1-6]

Value	Label	Cases	Percentage
1	State, county or municipal administration	745	13.8%	0.1377843536
2	Other public sector (e.g. school and health services)	1587	29.4%	0.2935084150
3	Publicly owned enterprise	356	6.6%	0.0658405770
4	Private business	2638	48.8%	0.4878860736
5	Self-employed	53	1.0%	0.0098021084
6	Other:	27	0.5%	0.0049935269
97	Not answered	1	0.0%	0.0001849454
98	Not asked	4664		NA
Sysmiss		171		NA

c27_bgsct_source

Variable label:	Source for c27_bgsct
Technical attributes:	[Question type: -] [Format:character] [Valid:10071] [Invalid:171] [Range:-]

c27_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 r27. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel 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]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10194] [Invalid:48] [Range:1-5]

Value	Label	Cases	Percentage
1	A city	2554	25.1%	0.251279024
2	A suburb or the outskirts of a city	2085	20.5%	0.205135773
3	A small or medium sized town	2868	28.2%	0.282172373
4	A village	1551	15.3%	0.152597403
5	A sparsely inhabited area	1087	10.7%	0.106946084
97	Not answered	19	0.2%	0.001869343
98	Not asked	30		NA
Sysmiss		48		NA

c27_bgurb_source

Variable label:	Source for c27_bgurb
Technical attributes:	[Question type: -] [Format:character] [Valid:10194] [Invalid:48] [Range:-]

c28_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 r28. Most respondents have values from the last year, but it is possible to have values back to r1. You can filter using the source-variabel 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]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10240] [Invalid:2] [Range:0-10]

Value	Label	Cases	Percentage
0	0 – Left wing	257	2.5%	0.0250976562
1	1	605	5.9%	0.0590820312
2	2	1219	11.9%	0.1190429688
3	3	1385	13.5%	0.1352539062
4	4	1121	10.9%	0.1094726562
5	5	1339	13.1%	0.1307617188
6	6	1031	10.1%	0.1006835937
7	7	1356	13.2%	0.1324218750
8	8	1207	11.8%	0.1178710938
9	9	496	4.8%	0.0484375000
10	10 – Right wing	215	2.1%	0.0209960938
97	Not answered	9	0.1%	0.0008789063
Sysmiss		2		NA

c28_bglrs_source

Variable label:	Source for c28_bglrs
Technical attributes:	[Question type: -] [Format:character] [Valid:10240] [Invalid:2] [Range:-]

c28_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.
Technical description:	This question is asked as an open text answer, where the respondent can write in three boxes, one for each issue. Here, the issues are manually coded into higher-level categories, according to a coding scheme. Contact us if you want to know more. The question was asked to some respondents in r27 and other respondents in r28, this is a combined variable of these rounds. [Source variables: r27_pcmipo_1_coded1, r28_pcmipo_1_coded1]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8919] [Invalid:1323] [Range:1001-9797]

Value	Label	Cases	Percentage
1001	Health	1899	21.3%	0.2129162462
2002	Environment	1413	15.8%	0.1584258325
3003	Education	577	6.5%	0.0646933513
4004	Public infrastructure	219	2.5%	0.0245543222
5005	Immigration	209	2.3%	0.0234331203
6006	Economy (private and societal)	1294	14.5%	0.1450835295
7007	Labour	197	2.2%	0.0220876780
8008	Welfare	875	9.8%	0.0981051687
9009	Equality	87	1.0%	0.0097544568
1010	Culture	17	0.2%	0.0019060433
1111	Defence	172	1.9%	0.0192846732
1212	Justice	148	1.7%	0.0165937885
1313	Industry and trade	450	5.0%	0.0504540868
1414	Foreign affairs	249	2.8%	0.0279179280
1515	Regional / urban-rural	94	1.1%	0.0105392981
1616	International	119	1.3%	0.0133423029
1717	Senior citizen policies	113	1.3%	0.0126695818
1818	Family	335	3.8%	0.0375602646
1919	Tradition	10	0.1%	0.0011212019
2020	Democracy	74	0.8%	0.0082968943
2121	Ideology	5	0.1%	0.0005606010
2222	Freedom and responsibility)	62	0.7%	0.0069514520
2323	Public and private sector	80	0.9%	0.0089696154
2424	Ethics	75	0.8%	0.0084090145
3030	Other	119	1.3%	0.0133423029
9696	Incomplete answers / Do not know	23	0.3%	0.0025787644
9797	Unanswered	4	0.0%	0.0004484808
Sysmiss		1323		NA

c28_pcmipo_1_coded1_source

Variable label:	Source for c28_pcmipo_1_coded1
Technical attributes:	[Question type: -] [Format:character] [Valid:8919] [Invalid:1323] [Range:-]

c28_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.
Technical description:	This question is asked as an open text answer, where the respondent can write in three boxes, one for each issue. Here, the issues are manually coded into higher-level categories, according to a coding scheme. Contact us if you want to know more. The question was asked to some respondents in r27 and other respondents in r28, this is a combined variable of these rounds. [Source variables: r27_pcmipo_2_coded1, r28_pcmipo_2_coded1]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8860] [Invalid:1382] [Range:1001-9696]

Value	Label	Cases	Percentage
1001	Health	1727	19.5%	0.1949209932
2002	Environment	1150	13.0%	0.1297968397
3003	Education	1057	11.9%	0.1193002257
4004	Public infrastructure	473	5.3%	0.0533860045
5005	Immigration	244	2.8%	0.0275395034
6006	Economy (private and societal)	1040	11.7%	0.1173814898
7007	Labour	211	2.4%	0.0238148984
8008	Welfare	688	7.8%	0.0776523702
9009	Equality	77	0.9%	0.0086907449
1010	Culture	41	0.5%	0.0046275395
1111	Defence	177	2.0%	0.0199774266
1212	Justice	167	1.9%	0.0188487585
1313	Industry and trade	471	5.3%	0.0531602709
1414	Foreign affairs	241	2.7%	0.0272009029
1515	Regional / urban-rural	83	0.9%	0.0093679458
1616	International	92	1.0%	0.0103837472
1717	Senior citizen policies	132	1.5%	0.0148984199
1818	Family	353	4.0%	0.0398419865
1919	Tradition	8	0.1%	0.0009029345
2020	Democracy	58	0.7%	0.0065462754
2121	Ideology	4	0.0%	0.0004514673
2222	Freedom and responsibility)	61	0.7%	0.0068848758
2323	Public and private sector	131	1.5%	0.0147855530
2424	Ethics	59	0.7%	0.0066591422
3030	Other	97	1.1%	0.0109480813
9696	Incomplete answers / Do not know	18	0.2%	0.0020316027
9797	Unanswered	0	0.0%	0.0000000000
Sysmiss		1382		NA

c28_pcmipo_2_coded1_source

Variable label:	Source for c28_pcmipo_2_coded1
Technical attributes:	[Question type: -] [Format:character] [Valid:8860] [Invalid:1382] [Range:-]

c28_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.
Technical description:	This question is asked as an open text answer, where the respondent can write in three boxes, one for each issue. Here, the issues are manually coded into higher-level categories, according to a coding scheme. Contact us if you want to know more. The question was asked to some respondents in r27 and other respondents in r28, this is a combined variable of these rounds. [Source variables: r27_pcmipo_3_coded1, r28_pcmipo_3_coded1]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8700] [Invalid:1542] [Range:1001-9696]

Value	Label	Cases	Percentage
1001	Health	1226	14.1%	0.140919540
2002	Environment	1138	13.1%	0.130804598
3003	Education	918	10.6%	0.105517241
4004	Public infrastructure	673	7.7%	0.077356322
5005	Immigration	341	3.9%	0.039195402
6006	Economy (private and societal)	936	10.8%	0.107586207
7007	Labour	226	2.6%	0.025977011
8008	Welfare	586	6.7%	0.067356322
9009	Equality	90	1.0%	0.010344828
1010	Culture	110	1.3%	0.012643678
1111	Defence	188	2.2%	0.021609195
1212	Justice	225	2.6%	0.025862069
1313	Industry and trade	460	5.3%	0.052873563
1414	Foreign affairs	309	3.6%	0.035517241
1515	Regional / urban-rural	134	1.5%	0.015402299
1616	International	115	1.3%	0.013218391
1717	Senior citizen policies	118	1.4%	0.013563218
1818	Family	302	3.5%	0.034712644
1919	Tradition	18	0.2%	0.002068966
2020	Democracy	79	0.9%	0.009080460
2121	Ideology	10	0.1%	0.001149425
2222	Freedom and responsibility)	49	0.6%	0.005632184
2323	Public and private sector	167	1.9%	0.019195402
2424	Ethics	84	1.0%	0.009655172
3030	Other	162	1.9%	0.018620690
9696	Incomplete answers / Do not know	36	0.4%	0.004137931
9797	Unanswered	0	0.0%	0.000000000
Sysmiss		1542		NA

c28_pcmipo_3_coded1_source

Variable label:	Source for c28_pcmipo_3_coded1
Technical attributes:	[Question type: -] [Format:character] [Valid:8700] [Invalid:1542] [Range:-]

c28_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 r28. 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 only want respondents with the newer values. Text from the “other”-field has been coded into the response categories where possible. [Source variables: r14pk204, r16pk204_kodet, r17pk204_kodet, r18pk204, r19pk204_kodet, r20pk204_kodet, r21pk204, r23pk204_kodet, r24_pcpar, r26k2_pcpar, r27_pcpar, r28_pcpar]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10242] [Invalid:0] [Range:1-13]

Value	Label	Cases	Percentage
1	The Christian Democrats	329	3.2%	0.0321226323
2	The Conservative Party	2496	24.4%	0.2437024019
3	The Progress Party	891	8.7%	0.0869947276
4	The Liberal Party	634	6.2%	0.0619019723
5	The Socialist Left Party	1334	13.0%	0.1302479984
6	The Centre Party	370	3.6%	0.0361257567
7	The Green Party	478	4.7%	0.0466705722
8	The Labour Party	1749	17.1%	0.1707674282
9	The Red Party	648	6.3%	0.0632688928
10	Would not vote	180	1.8%	0.0175746924
11	Would cast a blank vote	370	3.6%	0.0361257567
12	Not entitled to vote	166	1.6%	0.0162077719
13	Other:	595	5.8%	0.0580941222
97	Not answered	2	0.0%	0.0001952744

c28_pcpar_source

Variable label:	Source for c28_pcpar
Technical attributes:	[Question type: -] [Format:character] [Valid:10242] [Invalid:0] [Range:-]

r23cov_trust_1

Variable label:	Agree/disagree: Confidence in the way national authorities are handling and are prepared for the coronavirus pandemic.
Pre-question text:	To what extent do you agree or disagree with the following statement:
Literal question:	I have confidence in the way national authorities are handling and are prepared to tackle the coronavirus pandemic.
Field period:	12.01.2022 - 31.01.2022
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:7845] [Invalid:2397] [Range:1-5]

Value	Label	Cases	Percentage
1	Completely disagree	283	3.6%	0.036073932
2	Disagree	826	10.5%	0.105289994
3	Neither agree nor disagree	1309	16.7%	0.166857871
4	Agree	4382	55.9%	0.558572339
5	Completely agree	1033	13.2%	0.131676227
97	Not answered	12	0.2%	0.001529637
Sysmiss		2397		NA

r23pkby2

Variable label:	How much safer or more unsafe has your local environment become over the past couple of years?
Pre-question text:	Think about your local environment and how it has evolved over the past couple of years.
Literal question:	How much safer or more unsafe has it become?
Field period:	12.01.2022 - 31.01.2022
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:7845] [Invalid:2397] [Range:1-5]

Value	Label	Cases	Percentage
1	Much safer	86	1.1%	0.010962396
2	Somewhat safer	461	5.9%	0.058763544
3	No change in safety	5686	72.5%	0.724792862
4	Somewhat more unsafe	1409	18.0%	0.179604844
5	Much more unsafe	158	2.0%	0.020140217
97	Not answered	45	0.6%	0.005736138
Sysmiss		2397		NA

r23pk52

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.
Pre-question text:	To what extent do you agree or disagree with the following proposition:
Literal question:	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:	12.01.2022 - 31.01.2022
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:7845] [Invalid:2397] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	536	6.8%	0.068323773
2	Agree	1508	19.2%	0.192224347
3	Somewhat agree	2260	28.8%	0.288081581
4	Neither agree nor disagree	1054	13.4%	0.134353091
5	Somewhat disagree	1065	13.6%	0.135755258
6	Disagree	925	11.8%	0.117909496
7	Strongly disagree	466	5.9%	0.059400892
97	Not answered	31	0.4%	0.003951562
Sysmiss		2397		NA

r23pkdv55

Variable label:	Agree/disagree: It should be possible for parents to send their children to Muslim schools.
Pre-question text:	Today, it is possible for parents to send their children to Christian schools that follow the national curriculum, but also teach the Christian faith.
Literal question:	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:	12.01.2022 - 31.01.2022
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:7845] [Invalid:2397] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	211	2.7%	0.026896112
2	Agree	726	9.3%	0.092543021
3	Somewhat agree	1039	13.2%	0.132441045
4	Neither agree nor disagree	1303	16.6%	0.166093053
5	Somewhat disagree	1148	14.6%	0.146335245
6	Disagree	1577	20.1%	0.201019758
7	Strongly disagree	1815	23.1%	0.231357553
97	Not answered	26	0.3%	0.003314213
Sysmiss		2397		NA

r23meme50

Variable label:	Generally speaking, how much do you like or dislike immigrants in Norway?
Literal question:	Generally speaking, how much do you like or dislike immigrants in Norway?
Field period:	12.01.2022 - 31.01.2022
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:7845] [Invalid:2397] [Range:1-7]

Value	Label	Cases	Percentage
1	Intensely dislike	90	1.1%	0.011472275
2	Really dislike	240	3.1%	0.030592734
3	Dislike somewhat	727	9.3%	0.092670491
4	Neither dislike nor like	2247	28.6%	0.286424474
5	Like somewhat	2086	26.6%	0.265901848
6	Really like	2075	26.4%	0.264499681
7	Intensely like	348	4.4%	0.044359465
97	Not answered	32	0.4%	0.004079031
Sysmiss		2397		NA

r23pk55

Variable label:	Agree/disagree: The number of municipalities should be reduced.
Pre-question text:	To what extent do you agree or disagree with the following assertions:
Literal question:	Norway now has 356 municipalities instead of 422 as before. The number of municipalities should be reduced further by more mergers.
Field period:	12.01.2022 - 31.01.2022
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:7845] [Invalid:2397] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	856	10.9%	0.109114085
2	Agree	1105	14.1%	0.140854047
3	Somewhat agree	1086	13.8%	0.138432122
4	Neither agree nor disagree	1673	21.3%	0.213256851
5	Somewhat disagree	817	10.4%	0.104142766
6	Disagree	1367	17.4%	0.174251115
7	Strongly disagree	902	11.5%	0.114977693
97	Not answered	39	0.5%	0.004971319
Sysmiss		2397		NA

r23tdr17

Variable label:	Economic situation in [region] compared to [region]
Literal question:	If you compare the economic situation in [region] with the rest of Norway, do you consider the situation in [region] as better, worse or the same?
Field period:	12.01.2022 - 31.01.2022
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:7845] [Invalid:2397] [Range:1-3]

Value	Label	Cases	Percentage
1	Better	1649	21.0%	0.210197578
2	The same	4935	62.9%	0.629063098
3	Worse	1196	15.2%	0.152453792
97	Not answered	65	0.8%	0.008285532
Sysmiss		2397		NA

r23tdr19

Variable label:	Agree/disagree: Financial resources should be transferred from the rich parts of the country to parts that are not so rich.
Pre-question text:	To what extent do you agree with the following statement:
Literal question:	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:	12.01.2022 - 31.01.2022
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:7845] [Invalid:2397] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	1021	13.0%	0.130146590
2	Agree	2794	35.6%	0.356150414
3	Somewhat agree	2281	29.1%	0.290758445
4	Neither agree nor disagree	936	11.9%	0.119311663
5	Somewhat disagree	448	5.7%	0.057106437
6	Disagree	247	3.1%	0.031485022
7	Strongly disagree	75	1.0%	0.009560229
97	Not answered	43	0.5%	0.005481198
Sysmiss		2397		NA

r23pk103

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:	12.01.2022 - 31.01.2022
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:7845] [Invalid:2397] [Range:1-7]

Value	Label	Cases	Percentage
1	A very great advantage	1025	13.1%	0.13065647
2	A great advantage	1964	25.0%	0.25035054
3	A slight advantage	2236	28.5%	0.28502231
4	Neither an advantage nor a disadvantage	818	10.4%	0.10427024
5	A slight disadvantage	978	12.5%	0.12466539
6	A great disadvantage	470	6.0%	0.05991077
7	A very great disadvantage	274	3.5%	0.03492670
97	Not answered	80	1.0%	0.01019758
Sysmiss		2397		NA

r23pkmeme21

Variable label:	Agree/disagree: It is women’s own responsibility to avoid unwanted sexual attention?
Literal question:	To what extent do you agree or disagree that it is women’s own responsibility to avoid unwanted sexual attention?
Field period:	12.01.2022 - 31.01.2022
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:7845] [Invalid:2397] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	85	1.1%	0.010834927
2	Agree	224	2.9%	0.028553219
3	Somewhat agree	935	11.9%	0.119184194
4	Neither agree nor disagree	728	9.3%	0.092797960
5	Somewhat disagree	815	10.4%	0.103887827
6	Disagree	2217	28.3%	0.282600382
7	Strongly disagree	2796	35.6%	0.356405354
97	Not answered	45	0.6%	0.005736138
Sysmiss		2397		NA

r24_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:	23.05.2022 - 10.06.2022
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:7193] [Invalid:3049] [Range:1-7]

Value	Label	Cases	Percentage
1	Very positive	884	12.3%	0.122897261
2	Positive	1395	19.4%	0.193938551
3	Somewhat positive	1170	16.3%	0.162658140
4	Neither negative nor positive	762	10.6%	0.105936327
5	Somewhat negative	1041	14.5%	0.144724037
6	Negative	1011	14.1%	0.140553316
7	Very negative	921	12.8%	0.128041151
97	Not answered	9	0.1%	0.001251216
Sysmiss		3049		NA

r24_dvasi

Variable label:	To what extent have you thought about or imagined what it is like to arrive in Norway as an asylum seeker?
Literal question:	To what extent have you thought about or imagined what it is like to arrive in Norway as an asylum seeker?
Field period:	23.05.2022 - 10.06.2022
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:7193] [Invalid:3049] [Range:1-5]

Value	Label	Cases	Percentage
1	To a very great extent	507	7.0%	0.07048519
2	To a great extent	1740	24.2%	0.24190185
3	Somewhat	3636	50.5%	0.50549145
4	Slightly	969	13.5%	0.13471431
5	Not at all	299	4.2%	0.04156819
97	Not answered	42	0.6%	0.00583901
Sysmiss		3049		NA

r24_dvase_1

Variable label:	Your experience with asylum seekers: Greeted some of the asylum seekers.
Pre-question text:	Norway has received many asylum seekers recently. People have had different experiences of this. What have your experiences been? I have:
Literal question:	Greeted some of the asylum seekers.
Field period:	23.05.2022 - 10.06.2022
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:7193] [Invalid:3049] [Range:1-3]

Value	Label	Cases	Percentage
1	Yes	2178	30.3%	0.30279438
2	No	3862	53.7%	0.53691089
3	Not relevant	905	12.6%	0.12581677
97	Not answered	248	3.4%	0.03447796
Sysmiss		3049		NA

r24_dvase_2

Variable label:	Your experience with asylum seekers: Had contact via the internet with asylum seekers
Pre-question text:	Norway has received many asylum seekers recently. People have had different experiences of this. What have your experiences been? I have:
Literal question:	Had contact via the internet with asylum seekers (for example Facebook or Finn).
Field period:	23.05.2022 - 10.06.2022
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:7193] [Invalid:3049] [Range:1-3]

Value	Label	Cases	Percentage
1	Yes	360	5.0%	0.05004866
2	No	5519	76.7%	0.76727374
3	Not relevant	1016	14.1%	0.14124844
97	Not answered	298	4.1%	0.04142917
Sysmiss		3049		NA

r24_dvase_3

Variable label:	Your experience with asylum seekers: Become friends with some of the asylum seekers.
Pre-question text:	Norway has received many asylum seekers recently. People have had different experiences of this. What have your experiences been? I have:
Literal question:	Become friends with some of the asylum seekers.
Field period:	23.05.2022 - 10.06.2022
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:7193] [Invalid:3049] [Range:1-3]

Value	Label	Cases	Percentage
1	Yes	768	10.7%	0.10677047
2	No	5079	70.6%	0.70610316
3	Not relevant	1065	14.8%	0.14806061
97	Not answered	281	3.9%	0.03906576
Sysmiss		3049		NA

r24_dvase_4

Variable label:	Your experience with asylum seekers: Become a member of a support group for asylum seekers
Pre-question text:	Norway has received many asylum seekers recently. People have had different experiences of this. What have your experiences been? I have:
Literal question:	Become a member of a support group for asylum seekers (for example on the net).
Field period:	23.05.2022 - 10.06.2022
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:7193] [Invalid:3049] [Range:1-3]

Value	Label	Cases	Percentage
1	Yes	397	5.5%	0.05519255
2	No	5592	77.7%	0.77742249
3	Not relevant	912	12.7%	0.12678993
97	Not answered	292	4.1%	0.04059502
Sysmiss		3049		NA

r24_dvase_5

Variable label:	Your experience with asylum seekers: Expressed scepticism towards asylum seekers to others.
Pre-question text:	Norway has received many asylum seekers recently. People have had different experiences of this. What have your experiences been? I have:
Literal question:	Expressed scepticism towards asylum seekers to others.
Field period:	23.05.2022 - 10.06.2022
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:7193] [Invalid:3049] [Range:1-3]

Value	Label	Cases	Percentage
1	Yes	507	7.0%	0.07048519
2	No	5747	79.9%	0.79897122
3	Not relevant	657	9.1%	0.09133880
97	Not answered	282	3.9%	0.03920478
Sysmiss		3049		NA

r24_dvase_6

Variable label:	Your experience with asylum seekers: Avoided the asylum seekers as far as possible.
Pre-question text:	Norway has received many asylum seekers recently. People have had different experiences of this. What have your experiences been? I have:
Literal question:	Avoided the asylum seekers as far as possible.
Field period:	23.05.2022 - 10.06.2022
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:7193] [Invalid:3049] [Range:1-3]

Value	Label	Cases	Percentage
1	Yes	164	2.3%	0.02279994
2	No	5381	74.8%	0.74808842
3	Not relevant	1360	18.9%	0.18907271
97	Not answered	288	4.0%	0.04003893
Sysmiss		3049		NA

r24_dvase_7

Variable label:	Your experience with asylum seekers: Donated money, clothing or equipment
Pre-question text:	Norway has received many asylum seekers recently. People have had different experiences of this. What have your experiences been? I have:
Literal question:	Donated money, clothing or equipment
Field period:	23.05.2022 - 10.06.2022
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:7193] [Invalid:3049] [Range:1-3]

Value	Label	Cases	Percentage
1	Yes	3146	43.7%	0.43736966
2	No	3283	45.6%	0.45641596
3	Not relevant	574	8.0%	0.07979981
97	Not answered	190	2.6%	0.02641457
Sysmiss		3049		NA

r24_dvase_8

Variable label:	Your experience with asylum seekers: Have had asylum seekers living in my house
Pre-question text:	Norway has received many asylum seekers recently. People have had different experiences of this. What have your experiences been? I have:
Literal question:	Have had asylum seekers living in my house
Field period:	23.05.2022 - 10.06.2022
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:7193] [Invalid:3049] [Range:1-3]

Value	Label	Cases	Percentage
1	Yes	74	1.0%	0.01028778
2	No	5928	82.4%	0.82413458
3	Not relevant	890	12.4%	0.12373141
97	Not answered	301	4.2%	0.04184624
Sysmiss		3049		NA

r24_pcnat

Variable label:	Norways membership status in NATO
Literal question:	Which of the following alternatives is closest to your point of view:
Field period:	23.05.2022 - 10.06.2022
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:7193] [Invalid:3049] [Range:1-2]

Value	Label	Cases	Percentage
1	Norway should continue to be a member of NATO.	6896	95.9%	0.95870986
2	Norway should opt out of NATO.	265	3.7%	0.03684137
97	Not answered	32	0.4%	0.00444877
Sysmiss		3049		NA

r25_pcsaf

Variable label:	How much safer or more unsafe has your local environment become
Pre-question text:	Think about your local environment and how it has evolved over the past couple of years.
Literal question:	How much safer or more unsafe has it become?
Field period:	27.10.2022 - 22.11.2022
Technical description:	[Asked if r25_group = 6]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:9018] [Invalid:1224] [Range:1-5]

Value	Label	Cases	Percentage
1	Much safer	24	2.1%	0.020671835
2	Somewhat safer	99	8.5%	0.085271318
3	No change in safity	750	64.6%	0.645994832
4	Somewhat more unsafe	259	22.3%	0.223083549
5	Much more unsafe	27	2.3%	0.023255814
97	Not answered	2	0.2%	0.001722653
98	Not asked	7857		NA
Sysmiss		1224		NA

r25_pcecr

Variable label:	Economic situation in [r25_P2] compared to the rest of the country
Literal question:	If you compare the economic situation [r25_P2] with the rest of Norway, do you consider the situation [r25_P2] as being better, the same or worse?
Field period:	27.10.2022 - 22.11.2022
Technical description:	[Asked if r25_group = 1]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:9018] [Invalid:1224] [Range:1-3]

Value	Label	Cases	Percentage
1	Better	352	23.5%	0.23545151
2	The same	889	59.5%	0.59464883
3	Worse	239	16.0%	0.15986622
97	Not answered	15	1.0%	0.01003344
98	Not asked	7523		NA
Sysmiss		1224		NA

r25_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.
Pre-question text:	To what extent do you agree with the following statement:
Literal question:	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:	27.10.2022 - 22.11.2022
Technical description:	[Asked if r25_group = 1]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:9018] [Invalid:1224] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	216	14.4%	0.144481605
2	Agree	515	34.4%	0.344481605
3	Agree somewhat	476	31.8%	0.318394649
4	Neither agree nor disagree	128	8.6%	0.085618729
5	Disagree somewhat	91	6.1%	0.060869565
6	Disagree	41	2.7%	0.027424749
7	Strongly disagree	26	1.7%	0.017391304
97	Not answered	2	0.1%	0.001337793
98	Not asked	7523		NA
Sysmiss		1224		NA

r25_innae

Variable label:	How do you rate the increased military presence of NATO in Eastern Europe?
Pre-question text:	NATO has recently increased its military forces and military equipment in Eastern Europe considerably.
Literal question:	How do you rate the increased military presence in Eastern Europe?
Field period:	27.10.2022 - 22.11.2022
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:9018] [Invalid:1224] [Range:1-6]

Value	Label	Cases	Percentage
1	Very positively	3077	34.1%	0.341206476
2	Somewhat positively	3159	35.0%	0.350299401
3	Neither positively, nor negatively	1127	12.5%	0.124972278
4	Somewhat negatively	789	8.7%	0.087491683
5	Very negatively	569	6.3%	0.063096030
6	Do not know	247	2.7%	0.027389665
97	Not answered	50	0.6%	0.005544467
Sysmiss		1224		NA

r26_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:	16.02.2023 - 14.03.2023
Technical description:	[Asked if (r26_group = 1,2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8803] [Invalid:1439] [Range:0-10]

Value	Label	Cases	Percentage
0	0 - Cannot be careful enough	18	0.3%	0.003170689
1	1	37	0.7%	0.006517527
2	2	77	1.4%	0.013563502
3	3	176	3.1%	0.031002290
4	4	199	3.5%	0.035053726
5	5	426	7.5%	0.075039634
6	6	529	9.3%	0.093183019
7	7	1339	23.6%	0.235864013
8	8	1945	34.3%	0.342610534
9	9	661	11.6%	0.116434737
10	10 – Most people can be trusted	257	4.5%	0.045270389
97	Not answered	13	0.2%	0.002289942
98	Not asked	3126		NA
Sysmiss		1439		NA

r26_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:	16.02.2023 - 14.03.2023
Technical description:	[Asked if (r26_group = 1)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8803] [Invalid:1439] [Range:1-5]

Value	Label	Cases	Percentage
1	Much safer	54	1.2%	0.011678201
2	Somewhat safer	290	6.3%	0.062716263
3	No change in safity	3522	76.2%	0.761678201
4	Somewhat more unsafe	690	14.9%	0.149221453
5	Much more unsafe	53	1.1%	0.011461938
97	Not answered	15	0.3%	0.003243945
98	Not asked	4179		NA
Sysmiss		1439		NA

r26_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:	16.02.2023 - 14.03.2023
Technical description:	[Asked if (r26_group = 1,2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8803] [Invalid:1439] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	470	8.3%	0.082790206
2	Agree	1264	22.3%	0.222652810
3	Agree somewhat	1667	29.4%	0.293641008
4	Neither agree nor disagree	760	13.4%	0.133873525
5	Disagree somewhat	708	12.5%	0.124713757
6	Disagree	514	9.1%	0.090540779
7	Strongly disagree	255	4.5%	0.044918091
97	Not answered	39	0.7%	0.006869826
98	Not asked	3126		NA
Sysmiss		1439		NA

r26_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:	16.02.2023 - 14.03.2023
Technical description:	[Asked if (r26_group = 1,2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8803] [Invalid:1439] [Range:1-7]

Value	Label	Cases	Percentage
1	Much easier	203	3.6%	0.035758323
2	Easier	711	12.5%	0.125242205
3	Somewhat easier	1204	21.2%	0.212083847
4	Same as today	2307	40.6%	0.406376607
5	Slightly more difficult	604	10.6%	0.106394222
6	More difficult	347	6.1%	0.061123833
7	Much more difficult	260	4.6%	0.045798837
97	Not answered	41	0.7%	0.007222124
98	Not asked	3126		NA
Sysmiss		1439		NA

r26_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:	16.02.2023 - 14.03.2023
Technical description:	[Asked if (r26_group = 1,2)] [Shown on the same page with [r26_pcmsc_txt] if [r26_pcmsc_ran] == 1]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8803] [Invalid:1439] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	165	2.9%	0.029064647
2	Agree	636	11.2%	0.112031002
3	Agree somewhat	722	12.7%	0.127179849
4	Neither agree nor disagree	1056	18.6%	0.186013740
5	Disagree somewhat	732	12.9%	0.128941342
6	Disagree	1056	18.6%	0.186013740
7	Strongly disagree	1283	22.6%	0.225999648
97	Not answered	27	0.5%	0.004756033
98	Not asked	3126		NA
Sysmiss		1439		NA

r26_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:	16.02.2023 - 14.03.2023
Technical description:	[Asked if (r26_group = 1,2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8803] [Invalid:1439] [Range:1-7]

Value	Label	Cases	Percentage
1	Very good	375	6.6%	0.066056016
2	Good	1661	29.3%	0.292584111
3	Somewhat good	1287	22.7%	0.226704245
4	Neither good nor bad	671	11.8%	0.118196230
5	Somewhat poor	989	17.4%	0.174211732
6	Poor	497	8.8%	0.087546239
7	Very poor	155	2.7%	0.027303153
97	Not answered	42	0.7%	0.007398274
98	Not asked	3126		NA
Sysmiss		1439		NA

r26_pcldi

Variable label:	Like/dislike: immigrants in Norway
Literal question:	In general, how much do you like or dislike immigrants in Norway?
Field period:	16.02.2023 - 14.03.2023
Technical description:	[Asked if (r26_group = 1,2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8803] [Invalid:1439] [Range:1-7]

Value	Label	Cases	Percentage
7	Intensely like	333	5.9%	0.058657742
6	Really like	1531	27.0%	0.269684693
5	Like somewhat	1489	26.2%	0.262286419
4	Neither dislike nor like	1634	28.8%	0.287828078
3	Dislike somewhat	480	8.5%	0.084551700
2	Really dislike	103	1.8%	0.018143386
1	Intensely dislike	64	1.1%	0.011273560
97	Not answered	43	0.8%	0.007574423
98	Not asked	3126		NA
Sysmiss		1439		NA

r26_pcmun

Variable label:	Agree/disagree: The number of municipalities should be reduced further by more mergers
Literal question:	Norway now has 356 municipalities instead of 422 as before. To what extent do you agree or disagree with the following assertions: The number of municipalities should be reduced further by more mergers.
Field period:	16.02.2023 - 14.03.2023
Technical description:	[Asked if (r26_group = 1,2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8803] [Invalid:1439] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	748	13.2%	0.131759732
2	Agree	771	13.6%	0.135811168
3	Agree somewhat	756	13.3%	0.133168927
4	Neither agree nor disagree	1236	21.8%	0.217720627
5	Disagree somewhat	579	10.2%	0.101990488
6	Disagree	991	17.5%	0.174564030
7	Strongly disagree	577	10.2%	0.101638189
97	Not answered	19	0.3%	0.003346838
98	Not asked	3126		NA
Sysmiss		1439		NA

r26_pcecr

Variable label:	Economic situation in [r26_P2] compared to the rest of the country
Literal question:	If you compare the economic situation [r26_P2] with the rest of Norway, do you consider the situation [r26_P2] as being better, the same or worse?
Field period:	16.02.2023 - 14.03.2023
Technical description:	[Asked if (r26_group = 1,2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8803] [Invalid:1439] [Range:1-3]

Value	Label	Cases	Percentage
1	Better	1236	21.8%	0.217720627
2	The same	3437	60.5%	0.605425401
3	Worse	957	16.9%	0.168574952
97	Not answered	47	0.8%	0.008279021
98	Not asked	3126		NA
Sysmiss		1439		NA

r26_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 oil and gas industry should be…
Field period:	16.02.2023 - 14.03.2023
Technical description:	[Asked if (r26_group = 1,2) \| (r26_group = 1) \| (r26_group = 1,2) \| (r26_group = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8803] [Invalid:1439] [Range:1-5]

Value	Label	Cases	Percentage
1	As large as possible	353	6.2%	0.062180729
2	Larger than today	413	7.3%	0.072749692
3	Just as large as today	1842	32.4%	0.324467148
4	Smaller than today	2132	37.6%	0.375550467
5	As small as possible	907	16.0%	0.159767483
97	Not answered	30	0.5%	0.005284481
98	Not asked	3126		NA
Sysmiss		1439		NA

r26k2_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?
Equivalent in others panels:	f3k2_pceum; p9k2_pceum
Field period:	16.02.2023 - 14.03.2023
Technical description:	[Asked if (r26_group = 1,2,4)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8803] [Invalid:1439] [Range:1-7]

Value	Label	Cases	Percentage
1	Very positive	746	10.3%	0.103238306
2	Positive	1207	16.7%	0.167035704
3	Somewhat positive	997	13.8%	0.137973983
4	Neither positive nor negative	848	11.7%	0.117353999
5	Somewhat negative	988	13.7%	0.136728480
6	Negative	1168	16.2%	0.161638528
7	Very negative	1224	16.9%	0.169388320
97	Not answered	48	0.7%	0.006642679
98	Not asked	1577		NA
Sysmiss		1439		NA

r26k2_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?
Equivalent in others panels:	f3k2_pceea; p9k2_pceea
Field period:	16.02.2023 - 14.03.2023
Technical description:	[Asked if (r26_group = 1,2,4)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8803] [Invalid:1439] [Range:1-7]

Value	Label	Cases	Percentage
1	A very great advantage	883	12.2%	0.12219762
2	A great advantage	1849	25.6%	0.25588154
3	A slight advantage	2053	28.4%	0.28411293
4	Neither an advantage nor a disadvantage	735	10.2%	0.10171603
5	A slight disadvantage	931	12.9%	0.12884030
6	A great disadvantage	437	6.0%	0.06047606
7	A very great disadvantage	258	3.6%	0.03570440
97	Not answered	80	1.1%	0.01107113
98	Not asked	1577		NA
Sysmiss		1439		NA

r26_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:	16.02.2023 - 14.03.2023
Technical description:	[Asked if (r26_group = 1,2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8803] [Invalid:1439] [Range:1-6]

Value	Label	Cases	Percentage
1	Very positively	1806	31.8%	0.318125771
2	Somewhat positively	1880	33.1%	0.331160824
3	Neither positively, nor negatively	672	11.8%	0.118372380
4	Somewhat negatively	570	10.0%	0.100405144
5	Very negatively	346	6.1%	0.060947684
6	Do not know	375	6.6%	0.066056016
97	Not answered	28	0.5%	0.004932182
98	Not asked	3126		NA
Sysmiss		1439		NA

r26_pcecz

Variable label:	Assessment of: The financial situation in Norway in a year
Literal question:	What do you think about the financial situation in Norway in a year?
Field period:	16.02.2023 - 14.03.2023
Technical description:	[Asked if (r26_group = 1,2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8803] [Invalid:1439] [Range:1-5]

Value	Label	Cases	Percentage
5	Much worse than today	28	0.5%	0.004932182
4	Worse than today	997	17.6%	0.175620927
3	Neither worse nor better than today	2512	44.2%	0.442487229
2	Better than today	1970	34.7%	0.347014268
1	Much better than today	137	2.4%	0.024132464
97	Not answered	33	0.6%	0.005812929
98	Not asked	3126		NA
Sysmiss		1439		NA

r26_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:	16.02.2023 - 14.03.2023
Technical description:	[Asked if (r26_group = 1,2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8803] [Invalid:1439] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	71	1.3%	0.012506606
2	Agree	142	2.5%	0.025013211
3	Agree somewhat	590	10.4%	0.103928131
4	Neither agree nor disagree	423	7.5%	0.074511185
5	Disagree somewhat	558	9.8%	0.098291351
6	Disagree	1580	27.8%	0.278316012
7	Strongly disagree	2288	40.3%	0.403029769
97	Not answered	25	0.4%	0.004403734
98	Not asked	3126		NA
Sysmiss		1439		NA

r27_bgscp

Variable label:	What type of business did you work for before you became [r27_bgscp_pipe]?
Literal question:	What type of business did you work for before you became [r27_bgscp_pipe]?
Field period:	02.06.2023 - 22.06.2023
Technical description:	[Asked if (r27_bgday = 5,6,7,8,9,11)] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8075] [Invalid:2167] [Range:1-7]

Value	Label	Cases	Percentage
1	State, county or municipal administration	397	11.4%	0.113720997
2	Other public sector (e.g. school and health services)	1123	32.2%	0.321684331
3	Publicly owned enterprise	266	7.6%	0.076195932
4	Private business	1337	38.3%	0.382984818
5	Self-employed	258	7.4%	0.073904325
6	Other:	24	0.7%	0.006874821
7	Have not previously been working	68	1.9%	0.019478659
97	Not answered	18	0.5%	0.005156116
98	Not asked	4584		NA
Sysmiss		2167		NA

r27_bgscp_pipe

Variable label:	Experiment. Selects an alement for textpiping in [r27_bgscp].
Field period:	02.06.2023 - 22.06.2023
Technical description:	[If [r27_bgday] = 5 the first element is selected. If [r27_bgday] = 6 \|7 the second element is selected. If [r27_bgday] = 8 the third element is selected. If [r27_bgday] = 9 the fourth element is selected. If [r27_bgday] = 11 the fifth element is selected.]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:3498] [Invalid:6744] [Range:1-5]

Value	Label	Cases	Percentage
1	a student	130	3.7%	0.03716409
2	unemployed	71	2.0%	0.02029731
3	permanently ill or disabled	460	13.2%	0.13150372
4	retired	2802	80.1%	0.80102916
5	a stay-at-home parent or caregiver	35	1.0%	0.01000572
Sysmiss		6744		NA

r27_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:	02.06.2023 - 22.06.2023
Technical description:	[Asked if (r27_panelgroup = 1,2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8075] [Invalid:2167] [Range:0-10]

Value	Label	Cases	Percentage
0	0 - Cannot be careful enough	19	0.7%	0.007039644
1	1	25	0.9%	0.009262690
2	2	33	1.2%	0.012226751
3	3	107	4.0%	0.039644313
4	4	93	3.4%	0.034457206
5	5	208	7.7%	0.077065580
6	6	267	9.9%	0.098925528
7	7	629	23.3%	0.233049278
8	8	879	32.6%	0.325676176
9	9	307	11.4%	0.113745832
10	10 – Most people can be trusted	104	3.9%	0.038532790
97	Not answered	28	1.0%	0.010374213
98	Not asked	5376		NA
Sysmiss		2167		NA

r27_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:	02.06.2023 - 22.06.2023
Technical description:	[Asked if (r27_panelgroup = 1,2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8075] [Invalid:2167] [Range:1-7]

Value	Label	Cases	Percentage
1	Much easier	66	2.4%	0.024453501
2	Easier	327	12.1%	0.121155984
3	Somewhat easier	546	20.2%	0.202297147
4	Same as today	1140	42.2%	0.422378659
5	Slightly more difficult	308	11.4%	0.114116339
6	More difficult	188	7.0%	0.069655428
7	Much more difficult	100	3.7%	0.037050760
97	Not answered	24	0.9%	0.008892182
98	Not asked	5376		NA
Sysmiss		2167		NA

r27_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:	02.06.2023 - 22.06.2023
Technical description:	[Asked if (r27_panelgroup = 1,2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8075] [Invalid:2167] [Range:1-7]

Value	Label	Cases	Percentage
1	Very good	152	5.6%	0.05631715
2	Good	823	30.5%	0.30492775
3	Somewhat good	631	23.4%	0.23379029
4	Neither good nor bad	320	11.9%	0.11856243
5	Somewhat poor	425	15.7%	0.15746573
6	Poor	241	8.9%	0.08929233
7	Very poor	73	2.7%	0.02704705
97	Not answered	34	1.3%	0.01259726
98	Not asked	5376		NA
Sysmiss		2167		NA

r27_pcecr

Variable label:	Economic situation in [r27P2] compared to the rest of the country
Literal question:	If you compare the economic situation [r27P2] with the rest of Norway, do you consider the situation [r27P2] as being better, the same or worse?
Field period:	02.06.2023 - 22.06.2023
Technical description:	[Asked if (r27_group = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8075] [Invalid:2167] [Range:1-3]

Value	Label	Cases	Percentage
1	Better	434	26.0%	0.26003595
2	The same	953	57.1%	0.57100060
3	Worse	263	15.8%	0.15757939
97	Not answered	19	1.1%	0.01138406
98	Not asked	6406		NA
Sysmiss		2167		NA

r27_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 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:	02.06.2023 - 22.06.2023
Technical description:	[Asked if (r27_group = 2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8075] [Invalid:2167] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	275	16.5%	0.164769323
2	Agree	547	32.8%	0.327741162
3	Agree somewhat	507	30.4%	0.303774715
4	Neither agree nor disagree	149	8.9%	0.089275015
5	Disagree somewhat	109	6.5%	0.065308568
6	Disagree	54	3.2%	0.032354703
7	Strongly disagree	13	0.8%	0.007789095
97	Not answered	15	0.9%	0.008987418
98	Not asked	6406		NA
Sysmiss		2167		NA

r27_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:	02.06.2023 - 22.06.2023
Technical description:	[Asked if (r27_panelgroup = 1,2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8075] [Invalid:2167] [Range:1-5]

Value	Label	Cases	Percentage
1	As large as possible	144	5.3%	0.05335309
2	Larger than today	155	5.7%	0.05742868
3	Just as large as today	885	32.8%	0.32789922
4	Smaller than today	1024	37.9%	0.37939978
5	As small as possible	463	17.2%	0.17154502
97	Not answered	28	1.0%	0.01037421
98	Not asked	5376		NA
Sysmiss		2167		NA

r27_pceco

Variable label:	Assessment of: Your own financial situation today
Literal question:	How would you assess your own financial situation today?
Field period:	02.06.2023 - 22.06.2023
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8075] [Invalid:2167] [Range:1-7]

Value	Label	Cases	Percentage
1	Very good	1043	12.9%	0.129164087
2	Good	4032	49.9%	0.499318885
3	Quite good	1348	16.7%	0.166934985
4	Neither good nor bad	913	11.3%	0.113065015
5	Quite bad	436	5.4%	0.053993808
6	Bad	158	2.0%	0.019566563
7	Very bad	59	0.7%	0.007306502
97	Not answered	86	1.1%	0.010650155
Sysmiss		2167		NA

r27_pcecz

Variable label:	Assessment of: The financial situation in Norway in a year
Literal question:	What do you think about the financial situation in Norway in a year?
Field period:	02.06.2023 - 22.06.2023
Technical description:	[Asked if (r27_panelgroup = 1,2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8075] [Invalid:2167] [Range:1-5]

Value	Label	Cases	Percentage
5	Much better than today	14	0.5%	0.005187106
4	Better than today	483	17.9%	0.178955169
3	Neither worse nor better than today	1348	49.9%	0.499444239
2	Worse than today	743	27.5%	0.275287143
1	Much worse than today	70	2.6%	0.025935532
97	Not answered	41	1.5%	0.015190811
98	Not asked	5376		NA
Sysmiss		2167		NA

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:8075] [Invalid:2167] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	17	1.1%	0.010752688
2	Agree	43	2.7%	0.027197976
3	Agree somewhat	161	10.2%	0.101834282
4	Neither agree nor disagree	120	7.6%	0.075901328
5	Disagree somewhat	187	11.8%	0.118279570
6	Disagree	491	31.1%	0.310562935
7	Strongly disagree	557	35.2%	0.352308665
97	Not answered	5	0.3%	0.003162555
98	Not asked	6494		NA
Sysmiss		2167		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:8075] [Invalid:2167] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	1661	20.6%	0.205696594
0	Not selected	6335	78.5%	0.784520124
97	Not answered	79	1.0%	0.009783282
Sysmiss		2167		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:492] [Invalid:9750] [Range:0-4]

Value	Label	Cases	Percentage
0	0	19	3.9%	0.038617886
1	1	323	65.7%	0.656504065
2	2	136	27.6%	0.276422764
3	3	11	2.2%	0.022357724
4	4	3	0.6%	0.006097561
5	5	0	0.0%	0.000000000
Sysmiss		9750		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:553] [Invalid:9689] [Range:0-10]

Value	Label	Cases	Percentage
0	0	19	3.4%	0.034358047
1	1	401	72.5%	0.725135624
2	2	120	21.7%	0.216998192
3	3	10	1.8%	0.018083183
6	6	1	0.2%	0.001808318
10	10	2	0.4%	0.003616637
Sysmiss		9689		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:734] [Invalid:9508] [Range:0-14]

Value	Label	Cases	Percentage
0	0	16	2.2%	0.021798365
1	1	531	72.3%	0.723433243
2	2	167	22.8%	0.227520436
3	3	14	1.9%	0.019073569
4	4	2	0.3%	0.002724796
5	5	2	0.3%	0.002724796
12	12	1	0.1%	0.001362398
14	14	1	0.1%	0.001362398
Sysmiss		9508		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:850] [Invalid:9392] [Range:0-4]

Value	Label	Cases	Percentage
0	0	18	2.1%	0.021176471
1	1	635	74.7%	0.747058824
2	2	186	21.9%	0.218823529
3	3	7	0.8%	0.008235294
4	4	4	0.5%	0.004705882
10	10	0	0.0%	0.000000000
Sysmiss		9392		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:1982] [Invalid:8260] [Range:0-6]

Value	Label	Cases	Percentage
0	0	16	0.8%	0.0080726539
1	1	1012	51.1%	0.5105953582
2	2	730	36.8%	0.3683148335
3	3	178	9.0%	0.0898082745
4	4	39	2.0%	0.0196770938
5	5	6	0.3%	0.0030272452
6	6	1	0.1%	0.0005045409
8	8	0	0.0%	0.0000000000
Sysmiss		8260		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:3511] [Invalid:6731] [Range:0-7]

Value	Label	Cases	Percentage
0	0	11	0.3%	0.003133011
1	1	1082	30.8%	0.308174309
2	2	1557	44.3%	0.443463401
3	3	701	20.0%	0.199658217
4	4	126	3.6%	0.035887212
5	5	24	0.7%	0.006835659
6	6	6	0.2%	0.001708915
7	7	4	0.1%	0.001139277
Sysmiss		6731		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:782] [Invalid:9460] [Range:0-6]

Value	Label	Cases	Percentage
0	0	17	2.2%	0.021739130
1	1	343	43.9%	0.438618926
2	2	310	39.6%	0.396419437
3	3	91	11.6%	0.116368286
4	4	18	2.3%	0.023017903
5	5	1	0.1%	0.001278772
6	6	2	0.3%	0.002557545
Sysmiss		9460		NA

Codebook - Round 28 - Norwegian Citizen Panel