Codebook

Norwegian Citizen Panel

Round 24

v-102 - 2023-11-06









Produced by ideas2evidence










Citation

Primary investigators

Name Affiliation
Elisabeth Ivarsflaten UiB
Stefan Dahlberg UiB
Erla Løvseth UiB
Hege Høivik Bye UiB
Lise Lund Bjånesøy UiB
Thea Gregersen UiB
Gisela Böhm UiB
Dag Elgesem UiB
Arjan Schakel UiB
Anne Lise Fimreite UiB
Åsta Dyrnes Nordø NORCE
Erik Knudsen UiB

Coordinating team

Name
Erla Løvseth
Hanna Fylkesnes
Hans Martin Lundgaard Corneliussen

Producers

Name Affiliation Role
Øivind Skjervheim ideas2evidence Coordinator
Olav Bjørnebekk ideas2evidence Project team member
Joachim Wettergreen 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 Norwegian Social Science Data services (NSD). The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at www.medborger.uib.no

Scope

Geographic coverage: National geographic coverage. Counties as geographic coding.
Unit of analysis: Individuals
Universe: Norwegian Citizens above the age of 18.

Methodology

Sampling procedure

Members of the Norwegian Citizen Panel have been recruited in eight waves:
In wave 1, 4 870 panel members were recruited (see documentation from wave 1).
In wave 3, 5 623 members were recruited (see documentation from wave 3).
In wave 8, 4 245 new members were recruited (see documentation from wave 8).
In wave 11, 2 069 panel members were recruited (see documentation from wave 11).
In wave 14, 2 036 panel members were recruited (see documentation from wave 14).
In wave 16, 5 163 panel members were recruited (see documentation from wave 16).
In wave 18, 2 048 panel members were recruited (see documentation from wave 18).
In wave 22, 3 221 panel members were recruited (see documentation from wave 22).

In wave 1 and 3 a gross sample of 25 000 individuals was randomly drawn from the Norwegian National Population Registry, while in wave 8 the gross sample amounted to 22 000 individuals. In wave 11, 14, and 18, a corresponding gross sample of 14 000 people was drawn. In wave 16, the gross sample was 34 000. In wave 22 the gross sample was 23 000.

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, but the administration is partly outsourced to the private IT-company Evry. Evry drew the sample on behalf of the Citizen Panel after the necessary permissions were acquired from the Norwegian Tax Administration.

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://nsd.no/nsddata/serier/norsk_medborgerpanel_eng.html

In wave 24, emails were sent out on 23rd and 24th of May, 2022.

An e-mail with reminder was sent out three times; May 31st, June 7th, and June 10th, respectively, 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 e-mail.

Wave 24 ended on the 15th of June 2022.

Weighting

To compensate for observed bias, a set of weights has been calculated. The weights 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. The weights of the different strata are listed in the documentation report. When calculating the weights, 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.

Two different weights have been calculated:

When applied, both weights will provide a weighted N equal to the number of cases in the dataset. In other words, the weights 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, variable columns are included in the dataset that 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-102 2023-11-06 NA Revised release of round 24
NA 2023-10-25 r24Weight4 New variable: Added r24Weight4
NA 2023-10-25 r24Weight4 Variable documentation inserted
NA 2023-10-25 r24Weight4 Variable documentation updated
v-102 2023-10-25 NA Revised release of round 24
NA 2023-09-01 r24_Weight1 Corrected missing values
NA 2023-09-01 r24_Weight2 Corrected missing values
NA 2023-09-01 r24_Weight1_stratapop Corrected missing values
NA 2023-09-01 r24_Weight2_stratapop Corrected missing values
NA 2023-09-01 r24P5_1 Corrected missing values
NA 2023-09-01 r24P5_2 Corrected missing values
NA 2023-09-01 r24_P2 Corrected missing values
v-101 2022-09-05 NA Revised release of round 24
v-100 2022-07-01 NA Initial release of round 24


Dataset contents

File name Norwegian Citizen Panel - round 24 - v-102-O.sav
Distribution type Public
# Cases 10160
# Variables 417


Variable Documentation

responseid


Variable label: responseid
Technical attributes: [Question type: -] [Format:character] [Valid:10160] [Invalid:0] [Range:-]



r24_rekruttert


Variable label: The wave the respondent was recruited
Technical description: The wave the respondent was recruited
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-22]

Value Label Cases Percentage
1 Wave 1 1322 13.0% 0.13011811
3 Wave 3 1384 13.6% 0.13622047
8 Wave 8 1353 13.3% 0.13316929
11 Wave 11 731 7.2% 0.07194882
14 Wave 14 746 7.3% 0.07342520
16 Wave 16 2067 20.3% 0.20344488
18 Wave 18 860 8.5% 0.08464567
22 Wave 22 1697 16.7% 0.16702756


r24_group


Variable label: Subgroup in wave 24. Assigned at random.
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Group 1 2001 19.7% 0.1969488
2 Group 2 2046 20.1% 0.2013780
3 Group 3 1970 19.4% 0.1938976
4 Group 4 2081 20.5% 0.2048228
5 Group 5 2062 20.3% 0.2029528


r24_interview_start


Variable label: [Date and time of when the respondent first opened the questionnaire. Excel-format.]
Technical description: [Date and time of when the respondent first opened the questionnaire. Excel-format.]
Technical attributes: [Question type: -] [Format:character] [Valid:10160] [Invalid:0] [Range:-]



r24_interview_end


Variable label: [Date and time of when the respondent completed the questionnaire. Excel-format.]
Technical description: [Date and time of when the respondent completed the questionnaire. Excel-format.]
Technical attributes: [Question type: -] [Format:character] [Valid:9420] [Invalid:740] [Range:-]



r24_browsertype


Variable label: Browertype used by respondent
Technical description: Browertype used by respondent
Technical attributes: [Question type:Open] [Format:character] [Valid:10160] [Invalid:0] [Range:-]



r24_browserversion


Variable label: Browser version used by respondent
Technical description: Browser version used by respondent
Technical attributes: [Question type:Open] [Format:character] [Valid:10160] [Invalid:0] [Range:-]



r24_mobil


Variable label: Determines if the respondents uses mobile
Technical description: Determines if the respondents uses mobile
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
0 Other 5392 53.1% 0.5307087
1 Mobile 4768 46.9% 0.4692913


r24_opplosning


Variable label: Screen resolution of the applied device
Technical description: Screen resolution of the applied device
Technical attributes: [Question type:Open] [Format:character] [Valid:10160] [Invalid:0] [Range:-]



r24_enhetstype


Variable label: Determines respondents device type
Technical description: Determines respondents device type
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 PC 5392 53.1% 0.530708661
2 Touch 4720 46.5% 0.464566929
3 Generic 48 0.5% 0.004724409


r24_advancedwifeaturesenabled


Variable label: Determine whether the respondent’s browser supports Advanced WI Features that require client side scripts, such as sliders, drag-n-drop ranking, images instead of radio-buttons/check-boxes etc.
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:10160] [Invalid:0] [Range:-]



r24_getrenderingmode


Variable label: Detects the browsers rendering mode
Technical description: Detects the browsers rendering mode
Technical attributes: [Question type:Open] [Format:character] [Valid:10160] [Invalid:0] [Range:-]



r24_panel


Variable label: Panel subgroup in wave 24. Respondents who have previously been exposed to questions regarding corona was assigned to group 1. The remaining respondents were randomly allocated to group 2 and group 3.
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Panel group 1 1752 17.2% 0.1724409
2 Panel group 2 4185 41.2% 0.4119094
3 Panel group 3 4223 41.6% 0.4156496


r24_pcpar


Variable label: Which party would you vote for if there was a parliamentary election tomorrow?
Literal question: Which party would you vote for if there were a parliamentary election tomorrow?
Technical description:

[All respondents asked]

[Answer list display order: Randomized]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-13]

Value Label Cases Percentage
1 The Christian Democratic Party 294 2.9% 0.02893701
2 The Conservative Party 2516 24.8% 0.24763780
3 The Progress Party 807 7.9% 0.07942913
4 The Liberal Party 452 4.4% 0.04448819
5 The Socialist Left Party 1110 10.9% 0.10925197
6 The Centre Party 521 5.1% 0.05127953
7 The Green Party 503 5.0% 0.04950787
8 The Labour Party 2143 21.1% 0.21092520
9 Red 657 6.5% 0.06466535
10 Would not vote 221 2.2% 0.02175197
11 Would cast a blank vote 367 3.6% 0.03612205
12 Not entitled to vote 207 2.0% 0.02037402
13 Other: 339 3.3% 0.03336614
97 Not answered 23 0.2% 0.00226378


r24_pcpar_13_other


Variable label: Other: Which party would you vote for if there was a parliamentary election tomorrow?
Literal question: Other:
Technical description:

[All respondents asked]

[Answer list display order: Randomized]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Single - Other] [Format:character] [Valid:0] [Invalid:10160] [Range:-]



r24_pcpak


Variable label: Which party would you vote for if there was a municipal election tomorrow?
Literal question: Which party would you vote for if there was a municipal election tomorrow?
Technical description:

[Asked if r24_group = 1]

[Answer list display order: Randomized]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-16]

Value Label Cases Percentage
1 The Christian Democratic Party 62 3.1% 0.0309845077
2 The Conservative Party 483 24.1% 0.2413793103
3 The Progress Party 134 6.7% 0.0669665167
4 The Liberal Party 81 4.0% 0.0404797601
5 The Socialist Left Party 214 10.7% 0.1069465267
6 The Centre Party 125 6.2% 0.0624687656
7 The Green Party 109 5.4% 0.0544727636
8 The Labour Party 436 21.8% 0.2178910545
9 Red 122 6.1% 0.0609695152
10 The People’s Movement - No to More Road Tolls (or similar road toll initiative) 12 0.6% 0.0059970015
11 A joint party list 1 0.0% 0.0004997501
12 A local list 52 2.6% 0.0259870065
13 Would cast a blank vote 57 2.8% 0.0284857571
14 Would not vote 42 2.1% 0.0209895052
15 Not entitled to vote 5 0.2% 0.0024987506
16 Other: 60 3.0% 0.0299850075
97 Not answered 6 0.3% 0.0029985007
98 Not asked 8159 NA


r24_pcpak_16_other


Variable label: Other: Which party would you vote for if there was a parliamentary election tomorrow?
Literal question: Other:
Technical description:

[Asked if r24_group = 1]

[Answer list display order: Randomized]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Single - Other] [Format:character] [Valid:0] [Invalid:10160] [Range:-]



r24_pcpaf


Variable label: Which party would you vote for if there was a parliamentary election tomorrow?
Literal question: Which party would you vote for if there was a parliamentary election tomorrow?
Technical description:

[Asked if r24_group = 1]

[Answer list display order: Randomized]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-16]

Value Label Cases Percentage
1 The Christian Democratic Party 60 3.0% 0.0299850075
2 The Conservative Party 451 22.5% 0.2253873063
3 The Progress Party 154 7.7% 0.0769615192
4 The Liberal Party 72 3.6% 0.0359820090
5 The Socialist Left Party 216 10.8% 0.1079460270
6 The Centre Party 113 5.6% 0.0564717641
7 The Green Party 109 5.4% 0.0544727636
8 The Labour Party 403 20.1% 0.2013993003
9 Red 128 6.4% 0.0639680160
10 The People’s Movement - No to More Road Tolls (or similar road toll initiative) 14 0.7% 0.0069965017
11 A joint party list 2 0.1% 0.0009995002
12 A local list 17 0.8% 0.0084957521
13 Would cast a blank vote 83 4.1% 0.0414792604
14 Would not vote 100 5.0% 0.0499750125
15 Not entitled to vote 18 0.9% 0.0089955022
16 Other: 52 2.6% 0.0259870065
97 Not answered 9 0.4% 0.0044977511
98 Not asked 8159 NA


r24_pcpaf_16_other


Variable label: Other: Which party would you vote for if there was a county election tomorrow?
Literal question: Other:
Technical description:

[Asked if r24_group = 1]

[Answer list display order: Randomized]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Single - Other] [Format:character] [Valid:0] [Invalid:10160] [Range:-]



r24_pcmip_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:
Technical description:

[All respondents asked]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open Text List] [Format:character] [Valid:0] [Invalid:10160] [Range:-]



r24_pcmip_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:
Technical description:

[All respondents asked]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open Text List] [Format:character] [Valid:0] [Invalid:10160] [Range:-]



r24_pcmip_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:
Technical description:

[All respondents asked]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open Text List] [Format:character] [Valid:0] [Invalid:10160] [Range:-]



r24_pcldk


Variable label: Like or dislike party: The Christian Democratic Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Christian Democratic Party
Post-question: Click on your desired answer
Technical description:

[Asked if r24_group = 1]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 339 16.9% 0.169415292
2 Really dislike 456 22.8% 0.227886057
3 Dislike somewhat 467 23.3% 0.233383308
4 Neither dislike nor like 409 20.4% 0.204397801
5 Like somewhat 226 11.3% 0.112943528
6 Really like 67 3.3% 0.033483258
7 Intensely like 16 0.8% 0.007996002
97 Not answered 21 1.0% 0.010494753
98 Not asked 8159 NA


r24_pcldh


Variable label: Like or dislike party: The Conservative Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Conservative Party
Post-question: Click on your desired answer
Technical description:

[Asked if r24_group = 1]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 101 5.0% 0.050474763
2 Really dislike 281 14.0% 0.140429785
3 Dislike somewhat 372 18.6% 0.185907046
4 Neither dislike nor like 253 12.6% 0.126436782
5 Like somewhat 423 21.1% 0.211394303
6 Really like 417 20.8% 0.208395802
7 Intensely like 135 6.7% 0.067466267
97 Not answered 19 0.9% 0.009495252
98 Not asked 8159 NA


r24_pcldf


Variable label: Like or dislike party: The Progress Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Progress Party
Post-question: Click on your desired answer
Technical description:

[Asked if r24_group = 1]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 645 32.2% 0.322338831
2 Really dislike 378 18.9% 0.188905547
3 Dislike somewhat 299 14.9% 0.149425287
4 Neither dislike nor like 182 9.1% 0.090954523
5 Like somewhat 263 13.1% 0.131434283
6 Really like 162 8.1% 0.080959520
7 Intensely like 58 2.9% 0.028985507
97 Not answered 14 0.7% 0.006996502
98 Not asked 8159 NA


r24_pcldv


Variable label: Like or dislike party: The Liberal Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Liberal Party
Post-question: Click on your desired answer
Technical description:

[Asked if r24_group = 1]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 180 9.0% 0.08995502
2 Really dislike 296 14.8% 0.14792604
3 Dislike somewhat 453 22.6% 0.22638681
4 Neither dislike nor like 508 25.4% 0.25387306
5 Like somewhat 384 19.2% 0.19190405
6 Really like 129 6.4% 0.06446777
7 Intensely like 28 1.4% 0.01399300
97 Not answered 23 1.1% 0.01149425
98 Not asked 8159 NA


r24_pcldsv


Variable label: Like or dislike party: The Socialist Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Socialist Party
Post-question: Click on your desired answer
Technical description:

[Asked if r24_group = 1]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 250 12.5% 0.124937531
2 Really dislike 313 15.6% 0.156421789
3 Dislike somewhat 365 18.2% 0.182408796
4 Neither dislike nor like 288 14.4% 0.143928036
5 Like somewhat 338 16.9% 0.168915542
6 Really like 320 16.0% 0.159920040
7 Intensely like 109 5.4% 0.054472764
97 Not answered 18 0.9% 0.008995502
98 Not asked 8159 NA


r24_pcldsp


Variable label: Like or dislike party: The Centre Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Centre Party
Post-question: Click on your desired answer
Technical description:

[Asked if r24_group = 1]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 253 12.6% 0.126436782
2 Really dislike 364 18.2% 0.181909045
3 Dislike somewhat 533 26.6% 0.266366817
4 Neither dislike nor like 365 18.2% 0.182408796
5 Like somewhat 344 17.2% 0.171914043
6 Really like 107 5.3% 0.053473263
7 Intensely like 14 0.7% 0.006996502
97 Not answered 21 1.0% 0.010494753
98 Not asked 8159 NA


r24_pcldm


Variable label: Like or dislike party: The Green Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Green Party
Post-question: Click on your desired answer
Technical description:

[Asked if r24_group = 1]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 489 24.4% 0.244377811
2 Really dislike 321 16.0% 0.160419790
3 Dislike somewhat 303 15.1% 0.151424288
4 Neither dislike nor like 248 12.4% 0.123938031
5 Like somewhat 392 19.6% 0.195902049
6 Really like 174 8.7% 0.086956522
7 Intensely like 57 2.8% 0.028485757
97 Not answered 17 0.8% 0.008495752
98 Not asked 8159 NA


r24_pclda


Variable label: Like or dislike party: The Labour Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Labour Party
Post-question: Click on your desired answer
Technical description:

[Asked if r24_group = 1]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 97 4.8% 0.048475762
2 Really dislike 189 9.4% 0.094452774
3 Dislike somewhat 353 17.6% 0.176411794
4 Neither dislike nor like 300 15.0% 0.149925037
5 Like somewhat 576 28.8% 0.287856072
6 Really like 380 19.0% 0.189905047
7 Intensely like 88 4.4% 0.043978011
97 Not answered 18 0.9% 0.008995502
98 Not asked 8159 NA


r24_pcldr


Variable label: Like or dislike party: The Red Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Red Party
Post-question: Click on your desired answer
Technical description:

[Asked if r24_group = 1]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 483 24.1% 0.241379310
2 Really dislike 332 16.6% 0.165917041
3 Dislike somewhat 283 14.1% 0.141429285
4 Neither dislike nor like 243 12.1% 0.121439280
5 Like somewhat 358 17.9% 0.178910545
6 Really like 199 9.9% 0.099450275
7 Intensely like 85 4.2% 0.042478761
97 Not answered 18 0.9% 0.008995502
98 Not asked 8159 NA


r24_pcsag


Variable label: Satisfaction with the government
Literal question: How satisfied are you with the present government in Norway?
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very satisfied 34 1.7% 0.0169915
2 Satisfied 418 20.9% 0.2088956
3 Somewhat satisfied 731 36.5% 0.3653173
4 Dissatisfied 555 27.7% 0.2773613
5 Not satisfied at all 259 12.9% 0.1294353
97 Not answered 4 0.2% 0.0019990
98 Not asked 8159 NA


r24_pcecs


Variable label: Perception of the current economic situation.
Pre-question text: How do you perceive the current economic situation to be in Norway?
Literal question: Do you think it is:
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 393 19.6% 0.196401799
2 Good 843 42.1% 0.421289355
3 Quite good 351 17.5% 0.175412294
4 Neither good nor bad 157 7.8% 0.078460770
5 Quite bad 152 7.6% 0.075962019
6 Bad 72 3.6% 0.035982009
7 Very bad 26 1.3% 0.012993503
97 Not answered 7 0.3% 0.003498251
98 Not asked 8159 NA


r24_pcecr


Variable label: Economic situation [in r24_P2] compared with the rest of Norway
Literal question: If you compare the economic situation [in r24_P2] with the rest of Norway, do you consider the situation [in r24_P2] as being better, worse or the same?
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Better 446 22.3% 0.22288856
2 The same 1088 54.4% 0.54372814
3 Worse 442 22.1% 0.22088956
97 Not answered 25 1.2% 0.01249375
98 Not asked 8159 NA


r24_pcrur


Variable label: Agree/disagree: Government authorities show little consideration for non-urban/rural Norway.
Pre-question text: To what extent do you agree or disagree with the following assertion?
Literal question: Government authorities show little consideration for non-urban/rural Norway.
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 281 14.0% 0.14042979
2 Agree 464 23.2% 0.23188406
3 Agree somewhat 565 28.2% 0.28235882
4 Neither agree nor disagree 321 16.0% 0.16041979
5 Disagree somewhat 171 8.5% 0.08545727
6 Disagree 137 6.8% 0.06846577
7 Strongly disagree 58 2.9% 0.02898551
97 Not answered 4 0.2% 0.00199900
98 Not asked 8159 NA


r24_cpres


Variable label: Financial resources should be transferred from the rich parts of the country 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 in order to ensure that everyone receives public services of the same quality?

Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 238 11.9% 0.118940530
2 Agree 701 35.0% 0.350324838
3 Agree somewhat 652 32.6% 0.325837081
4 Neither agree nor disagree 218 10.9% 0.108945527
5 Disagree somewhat 110 5.5% 0.054972514
6 Disagree 54 2.7% 0.026986507
7 Strongly disagree 20 1.0% 0.009995002
97 Not answered 8 0.4% 0.003998001
98 Not asked 8159 NA


r24_cprtax_ran


Variable label: Experiment. Randomly selects an alternative for textpiping in [r24_cprtax].
Technical description: [Randomized if r24_group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2045] [Invalid:8115] [Range:1-3]

Value Label Cases Percentage
1 people 672 32.9% 0.3286064
2 people in rural areas and people in the cities 665 32.5% 0.3251834
3 poor and rich 708 34.6% 0.3462103
Sysmiss 8115 NA


r24_cprtax


Variable label: Good/bad: The state needs to do more to reduce economic differences between [r24_cprtax_ran], even if it means increasing taxes slightly.
Pre-question text: How good or bad do you think the following proposal is?
Literal question:

The state needs to do more to reduce economic differences between [r24_cprtax_ran], even if it means increasing taxes slightly.

Technical description: [Asked if r24_group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 462 22.6% 0.22580645
2 Good 518 25.3% 0.25317693
3 Fairly good 417 20.4% 0.20381232
4 Neither good nor bad 273 13.3% 0.13343109
5 Fairly bad 174 8.5% 0.08504399
6 Bad 123 6.0% 0.06011730
7 Very bad 72 3.5% 0.03519062
97 Not answered 7 0.3% 0.00342131
98 Not asked 8114 NA


r24_meira_1


Variable label: Most/least like to read about: Climate change
Pre-question text: Below are a number of topics that Norwegian newspapers write about. Please rank the topics according to which one you would like to know more about. You should rank the topic that you would most like to read about at the top and the one that you are least interested in reading at the bottom. When you have finished, please click on Next. 
Literal question: Climate change
Post-question: Click on the options in the order in which you would like to rank them.
Technical description:

[Asked if r24_group = 3]

[Answer list display order: Randomize]

[The respondent was asked to rank the different alternatives.]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Have ranked climate change as number 1 1072 54.4% 0.54416244
2 Have ranked climate change as number 2 322 16.3% 0.16345178
3 Have ranked climate change as number 3 205 10.4% 0.10406091
4 Have ranked climate change as number 4 152 7.7% 0.07715736
5 Have ranked climate change as number 5 134 6.8% 0.06802030
97 Not answered 85 4.3% 0.04314721
98 Not asked 8190 NA


r24_meira_2


Variable label: Most/least like to read about: Abortion legislation
Pre-question text: Below are a number of topics that Norwegian newspapers write about. Please rank the topics according to which one you would like to know more about. You should rank the topic that you would most like to read about at the top and the one that you are least interested in reading at the bottom. When you have finished, please click on Next. 
Literal question: Abortion legislation
Post-question: Click on the options in the order in which you would like to rank them.
Technical description:

[Asked if r24_group = 3]

[Answer list display order: Randomize]

[The respondent was asked to rank the different alternatives.]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Have ranked abortion legislation as number 1 173 8.8% 0.08781726
2 Have ranked abortion legislation as number 2 344 17.5% 0.17461929
3 Have ranked abortion legislation as number 3 412 20.9% 0.20913706
4 Have ranked abortion legislation as number 4 373 18.9% 0.18934010
5 Have ranked abortion legislation as number 5 457 23.2% 0.23197970
97 Not answered 211 10.7% 0.10710660
98 Not asked 8190 NA


r24_meira_3


Variable label: Most/least like to read about: Road tolls
Pre-question text: Below are a number of topics that Norwegian newspapers write about. Please rank the topics according to which one you would like to know more about. You should rank the topic that you would most like to read about at the top and the one that you are least interested in reading at the bottom. When you have finished, please click on Next. 
Literal question: Road tolls
Post-question: Click on the options in the order in which you would like to rank them.
Technical description:

[Asked if r24_group = 3]

[Answer list display order: Randomize]

[The respondent was asked to rank the different alternatives.]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Have ranked road tolls as number 1 209 10.6% 0.10609137
2 Have ranked road tolls as number 2 263 13.4% 0.13350254
3 Have ranked road tolls as number 3 269 13.7% 0.13654822
4 Have ranked road tolls as number 4 381 19.3% 0.19340102
5 Have ranked road tolls as number 5 669 34.0% 0.33959391
97 Not answered 179 9.1% 0.09086294
98 Not asked 8190 NA


r24_meira_4


Variable label: Most/least like to read about: Immigration
Pre-question text: Below are a number of topics that Norwegian newspapers write about. Please rank the topics according to which one you would like to know more about. You should rank the topic that you would most like to read about at the top and the one that you are least interested in reading at the bottom. When you have finished, please click on Next. 
Literal question: Immigration
Post-question: Click on the options in the order in which you would like to rank them.
Technical description:

[Asked if r24_group = 3]

[Answer list display order: Randomize]

[The respondent was asked to rank the different alternatives.]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Have ranked immigration as number 1 246 12.5% 0.12487310
2 Have ranked immigration as number 2 585 29.7% 0.29695431
3 Have ranked immigration as number 3 575 29.2% 0.29187817
4 Have ranked immigration as number 4 318 16.1% 0.16142132
5 Have ranked immigration as number 5 121 6.1% 0.06142132
97 Not answered 125 6.3% 0.06345178
98 Not asked 8190 NA


r24_meira_5


Variable label: Most/least like to read about: Merging municipalities
Pre-question text: Below are a number of topics that Norwegian newspapers write about. Please rank the topics according to which one you would like to know more about. You should rank the topic that you would most like to read about at the top and the one that you are least interested in reading at the bottom. When you have finished, please click on Next. 
Literal question: Merging municipalities
Post-question: Click on the options in the order in which you would like to rank them.
Technical description:

[Asked if r24_group = 3]

[Answer list display order: Randomize]

[The respondent was asked to rank the different alternatives.]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Have ranked merging municipalities as number 1 231 11.7% 0.1172589
2 Have ranked merging municipalities as number 2 376 19.1% 0.1908629
3 Have ranked merging municipalities as number 3 383 19.4% 0.1944162
4 Have ranked merging municipalities as number 4 487 24.7% 0.2472081
5 Have ranked merging municipalities as number 5 324 16.4% 0.1644670
97 Not answered 169 8.6% 0.0857868
98 Not asked 8190 NA


r24_faabe


Variable label: Agree/disagree: Self-determined abortion in Norway should be extended from week 12 to week 22.
Pre-question text:

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

Literal question:

Self-determined abortion in Norway should be extended from week 12 to week 22.

Technical description: [Asked if r24_group = 3]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Completely disagree 424 21.5% 0.215228426
2 Slightly disagree 391 19.8% 0.198477157
3 Neither agree nor disagree 542 27.5% 0.275126904
4 Slightly agree 361 18.3% 0.183248731
5 Completely agree 247 12.5% 0.125380711
97 Not answered 5 0.3% 0.002538071
98 Not asked 8190 NA


r24_faabe1


Variable label: Inclined to agree/disagree: Self-determined abortion in Norway should be extended from week 12 to week 22
Pre-question text: You replied that you neither agree nor disagree with the statement “Self-determined abortion in Norway should be extended from week 12 to week 22”. 
Literal question: If you had to make a choice, would you be slightly more inclined to agree or disagree?
Technical description: [Asked if r24_faabe = 3 & r24_group = 3]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Slightly more inclined to agree 339 62.5% 0.62546125
2 Slightly more inclined to disagree 194 35.8% 0.35793358
97 Not answered 9 1.7% 0.01660517
98 Not asked 9618 NA


r24_cecho_1


Variable label: Agree/disagree: Our individual emissions have no impact on the climate
Pre-question text: There may be various reasons for taking, or not taking, the climate into account in the choices we make in our everyday lives. To what extent do you agree or disagree with the following statements?
Literal question: Our individual emissions have no impact on the climate
Technical description:

[Asked if r24_group = 3]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 76 3.9% 0.038578680
2 Agree 102 5.2% 0.051776650
3 Agree somewhat 246 12.5% 0.124873096
4 Neither agree nor disagree 128 6.5% 0.064974619
5 Disagree somewhat 376 19.1% 0.190862944
6 Disagree 647 32.8% 0.328426396
7 Strongly disagree 389 19.7% 0.197461929
97 Not answered 6 0.3% 0.003045685
98 Not asked 8190 NA


r24_cecho_2


Variable label: Agree/disagree: We all have a moral duty to live in a more climate-friendly manner
Pre-question text: There may be various reasons for taking, or not taking, the climate into account in the choices we make in our everyday lives. To what extent do you agree or disagree with the following statements?
Literal question: We all have a moral duty to live in a more climate-friendly manner
Technical description:

[Asked if r24_group = 3]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 577 29.3% 0.292893401
2 Agree 845 42.9% 0.428934010
3 Agree somewhat 321 16.3% 0.162944162
4 Neither agree nor disagree 110 5.6% 0.055837563
5 Disagree somewhat 39 2.0% 0.019796954
6 Disagree 34 1.7% 0.017258883
7 Strongly disagree 38 1.9% 0.019289340
97 Not answered 6 0.3% 0.003045685
98 Not asked 8190 NA


r24_cecho_3


Variable label: Agree/disagree: We would only adopt climate-friendly choices if they were cheaper than the alternatives
Pre-question text: There may be various reasons for taking, or not taking, the climate into account in the choices we make in our everyday lives. To what extent do you agree or disagree with the following statements?
Literal question: We would only adopt climate-friendly choices if they were cheaper than the alternatives
Technical description:

[Asked if r24_group = 3]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 143 7.3% 0.072588832
2 Agree 325 16.5% 0.164974619
3 Agree somewhat 508 25.8% 0.257868020
4 Neither agree nor disagree 209 10.6% 0.106091371
5 Disagree somewhat 348 17.7% 0.176649746
6 Disagree 326 16.5% 0.165482234
7 Strongly disagree 100 5.1% 0.050761421
97 Not answered 11 0.6% 0.005583756
98 Not asked 8190 NA


r24_cecho_4


Variable label: Agree/disagree: We can obtain more climate-friendly goods and services by using our consumer power
Pre-question text: There may be various reasons for taking, or not taking, the climate into account in the choices we make in our everyday lives. To what extent do you agree or disagree with the following statements?
Literal question: We can obtain more climate-friendly goods and services by using our consumer power
Technical description:

[Asked if r24_group = 3]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 368 18.7% 0.186802030
2 Agree 787 39.9% 0.399492386
3 Agree somewhat 496 25.2% 0.251776650
4 Neither agree nor disagree 171 8.7% 0.086802030
5 Disagree somewhat 69 3.5% 0.035025381
6 Disagree 45 2.3% 0.022842640
7 Strongly disagree 26 1.3% 0.013197970
97 Not answered 8 0.4% 0.004060914
98 Not asked 8190 NA


r24_cecho_5


Variable label: Agree/disagree: If politicians see that many people are choosing to live in a more climate-friendly way, they will place greater priority on the climate
Pre-question text: There may be various reasons for taking, or not taking, the climate into account in the choices we make in our everyday lives. To what extent do you agree or disagree with the following statements?
Literal question: If politicians see that many people are choosing to live in a more climate-friendly way, they will place greater priority on the climate
Technical description:

[Asked if r24_group = 3]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 186 9.4% 0.094416244
2 Agree 597 30.3% 0.303045685
3 Agree somewhat 526 26.7% 0.267005076
4 Neither agree nor disagree 346 17.6% 0.175634518
5 Disagree somewhat 143 7.3% 0.072588832
6 Disagree 115 5.8% 0.058375635
7 Strongly disagree 51 2.6% 0.025888325
97 Not answered 6 0.3% 0.003045685
98 Not asked 8190 NA


r24_ceser_1


Variable label: Agree/disagree: Popular political involvement will not help to solve the climate problem
Pre-question text: People have different views about the climate change challenges facing us. To what extent do you agree or disagree with the following statements?
Literal question: Popular political involvement will not help to solve the climate problem
Technical description:

[Asked if r24_group = 3]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 62 3.1% 0.031472081
2 Agree 134 6.8% 0.068020305
3 Agree somewhat 234 11.9% 0.118781726
4 Neither agree nor disagree 229 11.6% 0.116243655
5 Disagree somewhat 499 25.3% 0.253299492
6 Disagree 608 30.9% 0.308629442
7 Strongly disagree 196 9.9% 0.099492386
97 Not answered 8 0.4% 0.004060914
98 Not asked 8190 NA


r24_ceser_2


Variable label: Agree/disagree: Norwegian emissions will be damaging for future generations
Pre-question text: People have different views about the climate change challenges facing us. To what extent do you agree or disagree with the following statements?
Literal question: Norwegian emissions will be damaging for future generations
Technical description:

[Asked if r24_group = 3]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 337 17.1% 0.171065990
2 Agree 583 29.6% 0.295939086
3 Agree somewhat 497 25.2% 0.252284264
4 Neither agree nor disagree 217 11.0% 0.110152284
5 Disagree somewhat 148 7.5% 0.075126904
6 Disagree 115 5.8% 0.058375635
7 Strongly disagree 65 3.3% 0.032994924
97 Not answered 8 0.4% 0.004060914
98 Not asked 8190 NA


r24_ceser_3


Variable label: Agree/disagree: People in Norway will not notice climate change
Pre-question text: People have different views about the climate change challenges facing us. To what extent do you agree or disagree with the following statements?
Literal question: People in Norway will not notice climate change
Technical description:

[Asked if r24_group = 3]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 28 1.4% 0.014213198
2 Agree 53 2.7% 0.026903553
3 Agree somewhat 125 6.3% 0.063451777
4 Neither agree nor disagree 127 6.4% 0.064467005
5 Disagree somewhat 295 15.0% 0.149746193
6 Disagree 749 38.0% 0.380203046
7 Strongly disagree 586 29.7% 0.297461929
97 Not answered 7 0.4% 0.003553299
98 Not asked 8190 NA


r24_ceser_4


Variable label: Agree/disagree: The climate problem will be solved through international cooperation
Pre-question text: People have different views about the climate change challenges facing us. To what extent do you agree or disagree with the following statements?
Literal question: The climate problem will be solved through international cooperation
Technical description:

[Asked if r24_group = 3]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 486 24.7% 0.246700508
2 Agree 803 40.8% 0.407614213
3 Agree somewhat 414 21.0% 0.210152284
4 Neither agree nor disagree 123 6.2% 0.062436548
5 Disagree somewhat 64 3.2% 0.032487310
6 Disagree 38 1.9% 0.019289340
7 Strongly disagree 38 1.9% 0.019289340
97 Not answered 4 0.2% 0.002030457
98 Not asked 8190 NA


r24_ceser_5


Variable label: Agree/disagree: New technology will solve the climate problem
Pre-question text: People have different views about the climate change challenges facing us. To what extent do you agree or disagree with the following statements?
Literal question: New technology will solve the climate problem
Technical description:

[Asked if r24_group = 3]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 111 5.6% 0.056345178
2 Agree 425 21.6% 0.215736041
3 Agree somewhat 835 42.4% 0.423857868
4 Neither agree nor disagree 266 13.5% 0.135025381
5 Disagree somewhat 179 9.1% 0.090862944
6 Disagree 106 5.4% 0.053807107
7 Strongly disagree 41 2.1% 0.020812183
97 Not answered 7 0.4% 0.003553299
98 Not asked 8190 NA


r24_cemep


Variable label: Agree/disagree: The cost of meat products should be greatly increased in order to combat climate change.
Pre-question text: To what extent do you agree or disagree with the following statement?
Literal question: The cost of meat products should be greatly increased in order to combat climate change.
Technical description: [Asked if r24_group = 3]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Completely disagree 488 24.8% 0.247715736
2 Slightly disagree 539 27.4% 0.273604061
3 Neither agree nor disagree 466 23.7% 0.236548223
4 Slightly agree 382 19.4% 0.193908629
5 Completely agree 89 4.5% 0.045177665
97 Not answered 6 0.3% 0.003045685
98 Not asked 8190 NA


r24_cemep1


Variable label: If you had to choose, agree/disagree: The cost of meat products should be greatly increased to combat climate change
Pre-question text: You replied that you neither agree nor disagree with the statement “The cost of meat products should be greatly increased to combat climate change”.
Literal question: If you had to make a choice, would you be slightly more inclined to agree or disagree?
Technical description: [Asked if r24_cemep = 3 & r24_group = 3]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Slightly more inclined to agree 322 69.1% 0.6909871
2 Slightly more inclined to disagree 135 29.0% 0.2896996
97 Not answered 9 1.9% 0.0193133
98 Not asked 9694 NA


r24_cepmex_1


Variable label: For/against: High electricity prices in order to reduce the amount of electricity we use
Pre-question text: Various policy measures can be implemented in order to mitigate climate change or tackle its effects. To what extent are you for or against the following policy measures in Norway?
Literal question: High electricity prices in order to reduce the amount of electricity we use
Technical description:

[Asked if r24_group = 4]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Strongly opposed 930 44.7% 0.446900529
2 Slightly opposed 524 25.2% 0.251802018
3 Neither for nor against 182 8.7% 0.087457953
4 Slightly in favour 362 17.4% 0.173954829
5 Strongly in favour 69 3.3% 0.033157136
6 Do not know 7 0.3% 0.003363767
97 Not answered 7 0.3% 0.003363767
98 Not asked 8079 NA


r24_cepmex_2


Variable label: For/against: Legislation banning the sale of household appliances that are not energy-efficient
Pre-question text: Various policy measures can be implemented in order to mitigate climate change or tackle its effects. To what extent are you for or against the following policy measures in Norway?
Literal question: Legislation banning the sale of household appliances that are not energy-efficient
Technical description:

[Asked if r24_group = 4]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Strongly opposed 186 8.9% 0.08938011
2 Slightly opposed 354 17.0% 0.17011052
3 Neither for nor against 481 23.1% 0.23113888
4 Slightly in favour 622 29.9% 0.29889476
5 Strongly in favour 393 18.9% 0.18885151
6 Do not know 34 1.6% 0.01633830
97 Not answered 11 0.5% 0.00528592
98 Not asked 8079 NA


r24_cepmex_3


Variable label: For/against: Using public funds to subsidise insulation of homes
Pre-question text: Various policy measures can be implemented in order to mitigate climate change or tackle its effects. To what extent are you for or against the following policy measures in Norway?
Literal question: Using public funds to subsidise insulation of homes
Technical description:

[Asked if r24_group = 4]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Strongly opposed 121 5.8% 0.05814512
2 Slightly opposed 219 10.5% 0.10523787
3 Neither for nor against 397 19.1% 0.19077367
4 Slightly in favour 807 38.8% 0.38779433
5 Strongly in favour 496 23.8% 0.23834695
6 Do not know 30 1.4% 0.01441615
97 Not answered 11 0.5% 0.00528592
98 Not asked 8079 NA


r24_cepmex_4


Variable label: For/against: Using public funds in order to subsidise the development of new renewable energy, such as wind and solar power
Pre-question text: Various policy measures can be implemented in order to mitigate climate change or tackle its effects. To what extent are you for or against the following policy measures in Norway?
Literal question: Using public funds in order to subsidise the development of new renewable energy, such as wind and solar power
Technical description:

[Asked if r24_group = 4]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Strongly opposed 151 7.3% 0.072561269
2 Slightly opposed 156 7.5% 0.074963960
3 Neither for nor against 183 8.8% 0.087938491
4 Slightly in favour 635 30.5% 0.305141759
5 Strongly in favour 930 44.7% 0.446900529
6 Do not know 18 0.9% 0.008649688
97 Not answered 8 0.4% 0.003844306
98 Not asked 8079 NA


r24_cepmex_open


Variable label: If you have any comments about the question, please write them here:
Pre-question text: Various policy measures can be implemented in order to mitigate climate change or tackle its effects. To what extent are you for or against the following policy measures in Norway?
Literal question: If you have any comments about the question, please write them here:
Technical description:

[Asked if r24_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:10160] [Range:-]



r24_cpbtax_ran


Variable label: Experiment. Randomly selects text piping alternative for [r24_cprtax]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2062] [Invalid:8098] [Range:1-3]

Value Label Cases Percentage
1 [Blank] 693 33.6% 0.3360815
2 in rural areas 695 33.7% 0.3370514
3 in urban areas with living condition challenges 674 32.7% 0.3268671
Sysmiss 8098 NA


r24_cpbtax


Variable label: Good/bad: The state needs to allocate more money for public services (e.g., schools and health and social services) [r24_cpbtax_ran], even if that means increasing taxes slightly.
Pre-question text: How good or bad do you think the following proposal is?
Literal question: The state needs to allocate more money for public services (e.g., schools and health and social services) [r24_cpbtax_ran], even if that means increasing taxes slightly.
Technical description: [Asked if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 456 22.1% 0.2211445199
2 Good 704 34.1% 0.3414161009
3 Fairly good 360 17.5% 0.1745877789
4 Neither good nor bad 256 12.4% 0.1241513094
5 Fairly bad 144 7.0% 0.0698351115
6 Bad 74 3.6% 0.0358874879
7 Very bad 66 3.2% 0.0320077595
97 Not answered 2 0.1% 0.0009699321
98 Not asked 8098 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?
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 1254 12.3% 0.123425197
2 Positive 1957 19.3% 0.192618110
3 Somewhat positive 1625 16.0% 0.159940945
4 Neither negative nor positive 1128 11.1% 0.111023622
5 Somewhat negative 1456 14.3% 0.143307087
6 Negative 1429 14.1% 0.140649606
7 Very negative 1291 12.7% 0.127066929
97 Not answered 20 0.2% 0.001968504


r24_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?
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 A very great advantage 239 11.9% 0.119440280
2 A great advantage 619 30.9% 0.309345327
3 A slight advantage 619 30.9% 0.309345327
4 Neither an advantage nor a disadvantage 176 8.8% 0.087956022
5 A slight disadvantage 196 9.8% 0.097951024
6 A great disadvantage 109 5.4% 0.054472764
7 A very great disadvantage 33 1.6% 0.016491754
97 Not answered 10 0.5% 0.004997501
98 Not asked 8159 NA


r24_pcnat


Variable label: Norways membership status in NATO
Literal question: Which of the following alternatives is closest to your point of view:
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Norway should continue to be a member of NATO. 9733 95.8% 0.95797244
2 Norway should opt out of NATO. 375 3.7% 0.03690945
97 Not answered 52 0.5% 0.00511811


r24_pcnato


Variable label: Please write here if you have something you would like to add:
Pre-question text: Norways membership status in NATO
Literal question: Please write here if you have something you would like to add:
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:10160] [Range:-]



r24_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?
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Very positively 3141 30.9% 0.309153543
2 Somewhat positively 3441 33.9% 0.338681102
3 Neither positively, nor negatively 1496 14.7% 0.147244094
4 Somewhat negatively 1151 11.3% 0.113287402
5 Very negatively 632 6.2% 0.062204724
6 Do not know 280 2.8% 0.027559055
97 Not answered 19 0.2% 0.001870079


r24_innaeo


Variable label: Please write here if you have something you would like to add:
Pre-question text: How do you rate the increased military presence of NATO in Eastern Europe?
Literal question: Please write here if you have something you would like to add:
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:10160] [Range:-]



r24_pcimm


Variable label: In your opinion how great an advantage or disadvantage is it 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?
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 A very great advantage 584 5.7% 0.057480315
2 A great advantage 2391 23.5% 0.235334646
3 A slight advantage 3990 39.3% 0.392716535
4 Neither an advantage nor a disadvantage 1399 13.8% 0.137696850
5 A slight disadvantage 1204 11.9% 0.118503937
6 A great disadvantage 352 3.5% 0.034645669
7 A very great disadvantage 206 2.0% 0.020275591
97 Not answered 34 0.3% 0.003346457


r24_pcref


Variable label: Your opinion on refugees who come to Norway and seek asylum.
Pre-question text: What is your opinion on refugees who come to Norway and seek asylum and their opportunity to be granted residence here?
Literal question: Compared to how it is today, do you mean it should be:
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Much easier 46 2.3% 0.022988506
2 Easier 321 16.0% 0.160419790
3 Somewhat easier 448 22.4% 0.223888056
4 Same as today 806 40.3% 0.402798601
5 Slightly more difficult 180 9.0% 0.089955022
6 More difficult 105 5.2% 0.052473763
7 Much more difficult 80 4.0% 0.039980010
97 Not answered 15 0.7% 0.007496252
98 Not asked 8159 NA


r24_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?
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 148 7.4% 0.073963018
2 Good 620 31.0% 0.309845077
3 Somewhat good 449 22.4% 0.224387806
4 Neither good nor bad 233 11.6% 0.116441779
5 Somewhat poor 320 16.0% 0.159920040
6 Poor 169 8.4% 0.084457771
7 Very poor 48 2.4% 0.023988006
97 Not answered 14 0.7% 0.006996502
98 Not asked 8159 NA


r24_dvformot_ran


Variable label: Experiment. Randomly selects if [r24_dvfor] or [r24_dvmot] will be exposed first.
Technical description: [Randomized if r24_group = 3]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1969] [Invalid:8191] [Range:1-2]

Value Label Cases Percentage
1 dvfor to be asked first 1019 51.8% 0.5175216
2 dvmot to be asked first 950 48.2% 0.4824784
Sysmiss 8191 NA


r24_dvfor1


Variable label: If you had to pick one, what do you think is the best argument for immigration to Norway?
Literal question: If you had to pick one, what do you think is the best argument for immigration to Norway?
Technical description: [Asked if r24_group = 3 & dvformot_ran_24 = 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:Open] [Format:character] [Valid:0] [Invalid:10160] [Range:-]



r24_dvfor2


Variable label: How good or bad do you think the following proposal is?
Pre-question text: If you had to pick one, what do you think is the best argument for immigration to Norway?
Literal question: How good or bad do you think the following proposal is?
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 408 22.2% 0.222222222
2 Good 815 44.4% 0.443899782
3 Fairly good 318 17.3% 0.173202614
4 Neither good nor bad 168 9.2% 0.091503268
5 Fairly bad 17 0.9% 0.009259259
6 Bad 11 0.6% 0.005991285
7 Very bad 6 0.3% 0.003267974
97 Not answered 93 5.1% 0.050653595
98 Not asked 8324 NA


r24_dvmot1


Variable label: If you had to pick one, what do you think is the best argument against immigration to Norway?
Literal question: If you had to pick one, what do you think is the best argument for immigration to Norway?
Technical description: [Asked if r24_group = 3 & dvformot_ran_24 = 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:Open] [Format:character] [Valid:0] [Invalid:10160] [Range:-]



r24_dvmot2


Variable label: How good or bad do you think the following proposal is?
Pre-question text: If you had to pick one, what do you think is the best argument against immigration to Norway?
Literal question: How good or bad do you think the following proposal is?
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 260 14.1% 0.14115092
2 Good 487 26.4% 0.26438654
3 Fairly good 403 21.9% 0.21878393
4 Neither good nor bad 267 14.5% 0.14495114
5 Fairly bad 132 7.2% 0.07166124
6 Bad 98 5.3% 0.05320304
7 Very bad 54 2.9% 0.02931596
97 Not answered 141 7.7% 0.07654723
98 Not asked 8318 NA


r24_dvslv


Variable label: What is your personal opinion about the issue: Are you mostly for or against immigration to Norway?
Pre-question text: What is your personal opinion about the issue:
Literal question: Are you mostly for or against immigration to Norway?
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Mostly for 1410 73.6% 0.73629243
2 Mostly against 447 23.3% 0.23342037
97 Not answered 58 3.0% 0.03028721
98 Not asked 8245 NA


r24_dvutg_pipe


Variable label: Experiment. Selects an alternative for textpiping in [r24_dvutg]. If the respondent chose ‘mostly for’ in [r24_dvslv] the value is set to ‘against’ and equally opposite for the other respondents.
Technical description: A values was not selected for respondents who did not give an answer to [r24_dvslv].
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1857] [Invalid:8303] [Range:1-2]

Value Label Cases Percentage
1 against 1410 75.9% 0.7592892
2 for 447 24.1% 0.2407108
Sysmiss 8303 NA


r24_dvutg


Variable label: To what extent do you respect those who are [r24_dvutg_pipe] immigration to Norway?
Literal question: To what extent do you respect those who are [r24_dvutg_pipe] immigration to Norway?
Technical description: [Asked if (r24_dvslv is answered) & r24_group = 3]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great extent 62 3.1% 0.03147208
2 To a great extent 343 17.4% 0.17411168
3 Somewhat 873 44.3% 0.44314721
4 Slightly 491 24.9% 0.24923858
5 Not at all 64 3.2% 0.03248731
97 Not answered 137 7.0% 0.06954315
98 Not asked 8190 NA


r24_dvcrmx_ran1


Variable label: Experiment. Randomly selects text piping alternative for [r24_dvcrmx_ran3]
Technical description: [Randomized if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1016] [Invalid:9144] [Range:1-2]

Value Label Cases Percentage
1 discuss 525 51.7% 0.5167323
2 preach 491 48.3% 0.4832677
Sysmiss 9144 NA


r24_dvcrmx_ran2


Variable label: Experiment. Randomly selects text piping alternative for [r24_dvcrmx_ran3]
Technical description: [Randomized if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1016] [Invalid:9144] [Range:1-2]

Value Label Cases Percentage
1 Islamic values 493 48.5% 0.4852362
2 conservative ideas about Islamic child-rearing 523 51.5% 0.5147638
Sysmiss 9144 NA


r24_dvcrmx_ran3


Variable label: Experiment. Randomly selects text piping alternative for [r24_dvcrmx]
Technical description: [Randomized if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2081] [Invalid:8079] [Range:1-2]

Value Label Cases Percentage
1 A group of Muslims have asked to rent a local assembly hall for a meeting to [r24_dvcrmx_ran1] [r24_dvcrmx_ran2]. 1016 48.8% 0.4882268
2 A group of Christians have asked to rent a local assembly hall for a meeting to preach Christian conservative ideas about child-rearing. 1065 51.2% 0.5117732
Sysmiss 8079 NA


r24_dvcrmx


Variable label: Agree/disagree: permission to rent the local assembly hall?
Pre-question text: [r24_dvcrmx_ran3] 
Literal question: To what extent do you agree or disagree that they should be given permission to rent the local assembly hall?
Technical description: [Asked if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 216 10.4% 0.103796252
2 Agree 460 22.1% 0.221047573
3 Agree somewhat 280 13.5% 0.134550697
4 Neither agree nor disagree 401 19.3% 0.192695819
5 Disagree somewhat 228 11.0% 0.109562710
6 Disagree 217 10.4% 0.104276790
7 Strongly disagree 273 13.1% 0.131186929
97 Not answered 6 0.3% 0.002883229
98 Not asked 8079 NA


r24_dvcrm1x


Variable label: We would like to ask you to state the reason for your answer to the previous question.
Pre-question text: Agree/disagree: permission to rent the local assembly hall?
Literal question: We would like to ask you to state the reason for your answer to the previous question.
Post-question: You can write as much or as little as you like. We are looking for all types of answers.
Technical description:

[Asked if r24_dvcrmx is answered & r24_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:10160] [Range:-]



r24_dvmsqx_ran


Variable label: Experiment. Randomly selects group for [r24_dvmsqx]
Technical description: [Randomized if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2081] [Invalid:8079] [Range:1-5]

Value Label Cases Percentage
1 Group 1 (img1) 448 21.5% 0.2152811
2 Group 2 (img1+img2) 408 19.6% 0.1960596
3 Group 3 (img1+img3) 377 18.1% 0.1811629
4 Group 4 (img1+img4) 427 20.5% 0.2051898
5 Group 5 (img1+img5) 421 20.2% 0.2023066
Sysmiss 8079 NA


r24_dvmsqx


Variable label: Agree/disagree: muslims should establish such a mosque?
Pre-question text: Some muslims in Norway are trying to establish a mosque. With the funds they have raised from muslims in their local Norwegian environment, they will be able to afford a mosque that looks like this:
Literal question: To what extent do you agree or disagree that they should establish such a mosque?
Technical description:

[Asked if r24_group = 4]

[Respondents with [r24_dvmsqx_ran] == 1 were not exposed to any additional text or image.

Respondents with [r24_dvmsqx_ran] != 1 were exposed to additional text and image: ‘They have decided to gain additional funding to build a mosque which looks like this:’]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 129 6.2% 0.061989428
2 Agree 482 23.2% 0.231619414
3 Agree somewhat 298 14.3% 0.143200384
4 Neither agree nor disagree 606 29.1% 0.291206151
5 Disagree somewhat 171 8.2% 0.082172033
6 Disagree 177 8.5% 0.085055262
7 Strongly disagree 212 10.2% 0.101874099
97 Not answered 6 0.3% 0.002883229
98 Not asked 8079 NA


r24_dvcsfx_ran


Variable label: Experiment. Randomly selects text piping alternative for [r24_dvcsfx]
Technical description: [Randomized if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2081] [Invalid:8079] [Range:1-6]

Value Label Cases Percentage
1 public funds 352 16.9% 0.1691494
2 municipality 360 17.3% 0.1729938
3 a regional Muslim organisation in Norway 328 15.8% 0.1576165
4 a Norwegian non-profit foundation 305 14.7% 0.1465642
5 a Muslim organisation based in Turkey 367 17.6% 0.1763575
6 a Muslim organisation based in another European country 369 17.7% 0.1773186
Sysmiss 8079 NA


r24_dvcsfx


Variable label: Agree/disagree: establishing this community centre funded by [r24_dvcsfx_ran].
Pre-question text: Some muslims in Norway want to establish a community centre where they can meet in their spare time. The community centre will be funded by [r24_dvcsfx_ran].
Literal question: To what extent do you agree or disagree about establishing this community centre?
Technical description: [Asked if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 93 4.5% 0.044690053
2 Agree 369 17.7% 0.177318597
3 Agree somewhat 312 15.0% 0.149927919
4 Neither agree nor disagree 434 20.9% 0.208553580
5 Disagree somewhat 260 12.5% 0.124939933
6 Disagree 316 15.2% 0.151850072
7 Strongly disagree 284 13.6% 0.136472850
97 Not answered 13 0.6% 0.006246997
98 Not asked 8079 NA


r24_dvcenx_ran


Variable label: Experiment. Randomly selects text piping alternative for [r24_dvcenx]
Technical description: [Randomized if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2076] [Invalid:8084] [Range:1-6]

Value Label Cases Percentage
1 build a mosque 370 17.8% 0.1782274
2 build a combined mosque and youth club 345 16.6% 0.1661850
3 build a combined mosque and volunteer centre 339 16.3% 0.1632948
4 extend their mosque 367 17.7% 0.1767823
5 extend their mosque in order to make room for a youth club 328 15.8% 0.1579961
6 extend their mosque in order to accommodate a volunteer centre 327 15.8% 0.1575145
Sysmiss 8084 NA


r24_dvcenx


Variable label: Agree/disagree: A local muslim association wants to [r24_dvcenx_ran].
Pre-question text: A local muslim association wants to [r24_dvcenx_ran].
Literal question: To what extent are you for or against this?
Technical description: [Asked if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Completely in favour 172 8.3% 0.08265257
2 In favour 506 24.3% 0.24315233
3 Slightly in favour 334 16.0% 0.16049976
4 Neither for nor against 553 26.6% 0.26573763
5 Slightly opposed 165 7.9% 0.07928880
6 Opposed 156 7.5% 0.07496396
7 Completely opposed 174 8.4% 0.08361365
97 Not answered 21 1.0% 0.01009130
98 Not asked 8079 NA


r24_dvphsx_ran1


Variable label: Experiment. Randomly selects text piping alternative for [r24_dvphsx]
Technical description: [Randomized if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2073] [Invalid:8087] [Range:1-3]

Value Label Cases Percentage
1 wants 730 35.2% 0.3521466
2 has applied for permission to 673 32.5% 0.3246503
3 has been granted permission to 670 32.3% 0.3232031
Sysmiss 8087 NA


r24_dvphsx_ran2


Variable label: Experiment. Randomly selects text piping alternative for [r24_dvphsx]
Technical description: [Randomized if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2073] [Invalid:8087] [Range:1-2]

Value Label Cases Percentage
1 [Blank] 1000 48.2% 0.4823927
2 based on models of Christian upper secondary schools 1073 51.8% 0.5176073
Sysmiss 8087 NA


r24_dvphsx


Variable label: For/against: Some Norwegian parents want their children to become better acquainted with Islam and [r24_dvphsx_ran1] to establish a muslim upper secondary school. The school will comply with the Norwegian curriculum, but also teach Islam [r24_dvphsx_ran2]
Pre-question text: Some Norwegian parents want their children to become better acquainted with Islam and [r24_dvphsx_ran1] to establish a muslim upper secondary school. The school will comply with the Norwegian curriculum, but also teach Islam [r24_dvphsx_ran2].
Literal question: To what extent are you for or against this?
Technical description: [Asked if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Completely in favour 51 2.5% 0.02450745
2 In favour 179 8.6% 0.08601634
3 Slightly in favour 222 10.7% 0.10667948
4 Neither for nor against 387 18.6% 0.18596828
5 Slightly opposed 285 13.7% 0.13695339
6 Opposed 461 22.2% 0.22152811
7 Completely opposed 472 22.7% 0.22681403
97 Not answered 24 1.2% 0.01153292
98 Not asked 8079 NA


r24_dviec


Variable label: How positive or negative would you say that immigration is for the Norwegian economy?
Literal question: How positive or negative would you say that immigration is for the Norwegian economy?
Technical description: [Asked if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 101 4.9% 0.04898157
2 Positive 578 28.0% 0.28031038
3 Slightly positive 598 29.0% 0.29000970
4 Neither positive nor negative 325 15.8% 0.15761397
5 Slightly negative 258 12.5% 0.12512124
6 Negative 112 5.4% 0.05431620
7 Very negative 67 3.2% 0.03249273
97 Not answered 23 1.1% 0.01115422
98 Not asked 8098 NA


r24_dvicu


Variable label: How positive or negative would you say that immigration is for Norwegian cultural life?
Literal question: How positive or negative would you say that immigration is for Norwegian cultural life?
Technical description: [Asked if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 249 12.1% 0.120756547
2 Positive 731 35.5% 0.354510184
3 Slightly positive 503 24.4% 0.243937924
4 Neither positive nor negative 347 16.8% 0.168283220
5 Slightly negative 98 4.8% 0.047526673
6 Negative 78 3.8% 0.037827352
7 Very negative 38 1.8% 0.018428710
97 Not answered 18 0.9% 0.008729389
98 Not asked 8098 NA


r24_dviri


Variable label: How positive or negative would you say it is for people from other countries have the right to immigrate to Norway?
Literal question: How positive or negative would you say it is for people from other countries have the right to immigrate to Norway?
Technical description: [Asked if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 222 10.8% 0.107662464
2 Positive 636 30.8% 0.308438409
3 Slightly positive 496 24.1% 0.240543162
4 Neither positive nor negative 315 15.3% 0.152764306
5 Slightly negative 210 10.2% 0.101842871
6 Negative 110 5.3% 0.053346266
7 Very negative 62 3.0% 0.030067895
97 Not answered 11 0.5% 0.005334627
98 Not asked 8098 NA


r24_dvstex_ran1


Variable label: Experiment. Randomly selects group for [r24_dvstex]-questions.
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2062] [Invalid:8098] [Range:1-2]

Value Label Cases Percentage
1 Experiment group 1 995 48.3% 0.4825412
2 Experiment group 2 1067 51.7% 0.5174588
Sysmiss 8098 NA


r24_dvstex_ran2


Variable label: Experiment. Randomly selects [r24_dvstex1], [r24_dvstex2], or [r24_dvstex3] if [r24_dvstex_ran1] == 1.
Technical description: [Randomized if [r24_dvstex_ran1] = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:995] [Invalid:9165] [Range:1-3]

Value Label Cases Percentage
1 r24_dvstex1 (A) 314 31.6% 0.3155779
2 r24_dvstex2 (B) 354 35.6% 0.3557789
3 r24_dvstex3 (C) 327 32.9% 0.3286432
Sysmiss 9165 NA


r24_dvstex1_1


Variable label: Your view of immigrants: Warm (friendly, kind, honest)
Pre-question text: Think about how you personally view immigrants. According to your personal view, to what extent are immigrants:
Literal question: Warm (friendly, kind, honest)
Technical description: [Asked if (r24_dvstex_ran1 = 2 | r24_dvstex_ran2 = 1) & r24_group = 5]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all 10 0.7% 0.00724113
2 Slightly 90 6.5% 0.06517017
3 Somewhat 590 42.7% 0.42722665
4 To a great extent 586 42.4% 0.42433020
5 To a very great extent 78 5.6% 0.05648081
97 Not answered 27 2.0% 0.01955105
98 Not asked 8779 NA


r24_dvstex1_2


Variable label: Your view of immigrants: Competent (skilled, self-assured, clever)
Pre-question text: Think about how you personally view immigrants. According to your personal view, to what extent are immigrants:
Literal question: Competent (skilled, self-assured, clever)
Technical description: [Asked if (r24_dvstex_ran1 = 2 | r24_dvstex_ran2 = 1) & r24_group = 5]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all 14 1.0% 0.01013758
2 Slightly 102 7.4% 0.07385952
3 Somewhat 699 50.6% 0.50615496
4 To a great extent 481 34.8% 0.34829833
5 To a very great extent 54 3.9% 0.03910210
97 Not answered 31 2.2% 0.02244750
98 Not asked 8779 NA


r24_dvstex2_1


Variable label: General view of immigrants: Warm (friendly, kind, honest)
Pre-question text: Think about how immigrants are regarded by people in Norway in general. According to the general view of other people, to what extent are immigrants:
Literal question: Warm (friendly, kind, honest)
Technical description: [Asked if (r24_dvstex_ran1 = 2 | r24_dvstex_ran2 = 2) & r24_group = 5]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all 18 1.3% 0.01266714
2 Slightly 248 17.5% 0.17452498
3 Somewhat 830 58.4% 0.58409571
4 To a great extent 288 20.3% 0.20267417
5 To a very great extent 18 1.3% 0.01266714
97 Not answered 19 1.3% 0.01337087
98 Not asked 8739 NA


r24_dvstex2_2


Variable label: General view of immigrants: Competent (skilled, self-assured, clever)
Pre-question text: Think about how immigrants are regarded by people in Norway in general. According to the general view of other people, to what extent are immigrants:
Literal question: Competent (skilled, self-assured, clever)
Technical description: [Asked if (r24_dvstex_ran1 = 2 | r24_dvstex_ran2 = 2) & r24_group = 5]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all 32 2.3% 0.022519353
2 Slightly 339 23.9% 0.238564391
3 Somewhat 801 56.4% 0.563687544
4 To a great extent 207 14.6% 0.145672062
5 To a very great extent 14 1.0% 0.009852217
97 Not answered 28 2.0% 0.019704433
98 Not asked 8739 NA


r24_dvstex_order


Variable label: Experiment. Gives the order in which [r24_dvstex1] and [r24_dvstex2] were posed.
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Open] [Format:character] [Valid:1067] [Invalid:9093] [Range:-]



r24_dvstex3_1


Variable label: Your view of immigrants during job interview: Warm (friendly, kind, honest)
Pre-question text: Imagine you’re having a job interview for a well-paid job that you really want. How would you answer this question then? Think about how you personally view immigrants. According to your personal view, to what extent are immigrants:
Literal question: Warm (friendly, kind, honest)
Technical description: [Asked if r24_dvstex_ran2 = 3 & r24_group = 5]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all 6 1.8% 0.01834862
2 Slightly 10 3.1% 0.03058104
3 Somewhat 128 39.1% 0.39143731
4 To a great extent 158 48.3% 0.48318043
5 To a very great extent 17 5.2% 0.05198777
97 Not answered 8 2.4% 0.02446483
98 Not asked 9833 NA


r24_dvstex3_2


Variable label: Your view of immigrants during job interview: Competent (skilled, self-assured, clever)
Pre-question text: Imagine you’re having a job interview for a well-paid job that you really want. How would you answer this question then? Think about how you personally view immigrants. According to your personal view, to what extent are immigrants:
Literal question: Competent (skilled, self-assured, clever)
Technical description: [Asked if r24_dvstex_ran2 = 3 & r24_group = 5]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all 2 0.6% 0.006116208
2 Slightly 16 4.9% 0.048929664
3 Somewhat 148 45.3% 0.452599388
4 To a great extent 136 41.6% 0.415902141
5 To a very great extent 17 5.2% 0.051987768
97 Not answered 8 2.4% 0.024464832
98 Not asked 9833 NA


r24_dvstex4_1


Variable label: Last time, your view of immigrants during job interview: Warm (friendly, kind, honest)
Pre-question text: We will now ask you to answer this question one last time. Imagine you’re having a job interview for a well-paid job that you really want. How would you answer this question then? Think about how you personally view immigrants. According to your personal view, to what extent are immigrants:
Literal question: Warm (friendly, kind, honest)
Technical description: [Asked if r24_dvstex_ran1 = 2 & r24_group = 5]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all 7 0.7% 0.00656045
2 Slightly 48 4.5% 0.04498594
3 Somewhat 442 41.4% 0.41424555
4 To a great extent 487 45.6% 0.45641987
5 To a very great extent 64 6.0% 0.05998126
97 Not answered 19 1.8% 0.01780694
98 Not asked 9093 NA


r24_dvstex4_2


Variable label: Last time, your view of immigrants during job interview: Competent (skilled, self-assured, clever)
Pre-question text: We will now ask you to answer this question one last time. Imagine you’re having a job interview for a well-paid job that you really want. How would you answer this question then? Think about how you personally view immigrants. According to your personal view, to what extent are immigrants:
Literal question: Competent (skilled, self-assured, clever)
Technical description: [Asked if r24_dvstex_ran1 = 2 & r24_group = 5]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all 11 1.0% 0.01030928
2 Slightly 49 4.6% 0.04592315
3 Somewhat 501 47.0% 0.46954077
4 To a great extent 433 40.6% 0.40581068
5 To a very great extent 53 5.0% 0.04967198
97 Not answered 20 1.9% 0.01874414
98 Not asked 9093 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.
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Yes 3123 30.7% 0.30738189
2 No 5357 52.7% 0.52726378
3 Not relevant 1268 12.5% 0.12480315
97 Not answered 412 4.1% 0.04055118


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).
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Yes 544 5.4% 0.05354331
2 No 7687 75.7% 0.75659449
3 Not relevant 1446 14.2% 0.14232283
97 Not answered 483 4.8% 0.04753937


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.
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Yes 1171 11.5% 0.11525591
2 No 7031 69.2% 0.69202756
3 Not relevant 1506 14.8% 0.14822835
97 Not answered 452 4.4% 0.04448819


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).
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Yes 578 5.7% 0.05688976
2 No 7779 76.6% 0.76564961
3 Not relevant 1321 13.0% 0.13001969
97 Not answered 482 4.7% 0.04744094


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.
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Yes 700 6.9% 0.06889764
2 No 8020 78.9% 0.78937008
3 Not relevant 978 9.6% 0.09625984
97 Not answered 462 4.5% 0.04547244


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.
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Yes 234 2.3% 0.02303150
2 No 7500 73.8% 0.73818898
3 Not relevant 1959 19.3% 0.19281496
97 Not answered 467 4.6% 0.04596457


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
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Yes 4466 44.0% 0.43956693
2 No 4521 44.5% 0.44498031
3 Not relevant 848 8.3% 0.08346457
97 Not answered 325 3.2% 0.03198819


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
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Yes 124 1.2% 0.01220472
2 No 8303 81.7% 0.81722441
3 Not relevant 1248 12.3% 0.12283465
97 Not answered 485 4.8% 0.04773622


r24_dvaso


Variable label: I have other experiences. Please write:
Pre-question text: I have other experiences.
Literal question: Please write:
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:10160] [Range:-]



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?
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great extent 756 7.4% 0.074409449
2 To a great extent 2428 23.9% 0.238976378
3 Somewhat 5067 49.9% 0.498720472
4 Slightly 1359 13.4% 0.133759843
5 Not at all 454 4.5% 0.044685039
97 Not answered 96 0.9% 0.009448819


r24_mlmrm


Variable label: Do you live in a merged municipality?
Literal question: Do you live in a merged municipality?
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 646 32.3% 0.322838581
2 No 1336 66.8% 0.667666167
97 Not answered 19 0.9% 0.009495252
98 Not asked 8159 NA


r24_mlmrr


Variable label: Do you live in a merged county?
Literal question: Do you live in a merged county?
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 1360 68.0% 0.679660170
2 No 621 31.0% 0.310344828
97 Not answered 20 1.0% 0.009995002
98 Not asked 8159 NA


r24_mlat_1


Variable label: How strong is your connection to: The municipality you lived in before it was merged
Pre-question text: How strong is your connection to:
Literal question: The municipality you lived in before it was merged
Technical description: [Posed if [r24_group = 1] and [r24_mlmrm] = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Strong connection 210 32.5% 0.32507740
2 Connection 217 33.6% 0.33591331
3 Some connection 111 17.2% 0.17182663
4 Small connection 67 10.4% 0.10371517
5 No connection 28 4.3% 0.04334365
97 Not answered 13 2.0% 0.02012384
98 Not asked 9514 NA


r24_mlat_2


Variable label: How strong is your connection to: The municipality you live in after it was merged
Pre-question text: How strong is your connection to:
Literal question: The municipality you live in after it was merged
Technical description: [Posed if [r24_group = 1] and [r24_mlmrm] = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Strong connection 164 25.4% 0.25386997
2 Connection 221 34.2% 0.34210526
3 Some connection 130 20.1% 0.20123839
4 Small connection 92 14.2% 0.14241486
5 No connection 30 4.6% 0.04643963
97 Not answered 9 1.4% 0.01393189
98 Not asked 9514 NA


r24_mlat_3


Variable label: How strong is your connection to: The county you lived in before it was merged
Pre-question text: How strong is your connection to:
Literal question: The county you lived in before it was merged
Technical description: [Posed if [r24_group = 1] and [r24_mlmrr] = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Strong connection 327 24.0% 0.240441176
2 Connection 452 33.2% 0.332352941
3 Some connection 271 19.9% 0.199264706
4 Small connection 225 16.5% 0.165441176
5 No connection 73 5.4% 0.053676471
97 Not answered 12 0.9% 0.008823529
98 Not asked 8800 NA


r24_mlat_4


Variable label: How strong is your connection to: The county you live in after it was merged
Pre-question text: How strong is your connection to:
Literal question: The county you live in after it was merged
Technical description: [Posed if [r24_group = 1] and [r24_mlmrr] = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Strong connection 121 8.9% 0.08897059
2 Connection 329 24.2% 0.24191176
3 Some connection 320 23.5% 0.23529412
4 Small connection 402 29.6% 0.29558824
5 No connection 173 12.7% 0.12720588
97 Not answered 15 1.1% 0.01102941
98 Not asked 8800 NA


r24_mlat_5


Variable label: How strong is your connection to: The municipality you live in
Pre-question text: How strong is your connection to:
Literal question: The municipality you live in
Technical description: [Posed if [r24_group = 1] and [r24_mlmrm] = 2 or [r24_mlmrm] is not answered]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Strong connection 532 39.7% 0.397014925
2 Connection 494 36.9% 0.368656716
3 Some connection 194 14.5% 0.144776119
4 Small connection 86 6.4% 0.064179104
5 No connection 24 1.8% 0.017910448
97 Not answered 10 0.7% 0.007462687
98 Not asked 8820 NA


r24_mlat_6


Variable label: How strong is your connection to: The county you live in
Pre-question text: How strong is your connection to:
Literal question: The county you live in
Technical description: [Posed if [r24_group = 1] and [r24_mlmrr] = 2 or [r24_mlmrr] is unanswered]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Strong connection 195 31.2% 0.31150160
2 Connection 212 33.9% 0.33865815
3 Some connection 119 19.0% 0.19009585
4 Small connection 60 9.6% 0.09584665
5 No connection 24 3.8% 0.03833866
97 Not answered 16 2.6% 0.02555911
98 Not asked 9534 NA


r24_mlat_7


Variable label: How strong is your connection to: Norway
Pre-question text: How strong is your connection to:
Literal question: Norway
Technical description: [Posed if [r24_group = 1]]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Strong connection 1438 71.9% 0.718640680
2 Connection 435 21.7% 0.217391304
3 Some connection 70 3.5% 0.034982509
4 Small connection 10 0.5% 0.004997501
5 No connection 6 0.3% 0.002998501
97 Not answered 42 2.1% 0.020989505
98 Not asked 8159 NA


r24_mlsmm_1


Variable label: How strongly do you support: Further merging of municipalities.
Pre-question text: Norway acquired a new municipal and county structure on 1 January 2020. Many municipalities and county councils have been merged and this has recently been the subject of debate. Some people support additional mergers, while others believe that county councils/municipalities should be given the opportunity to assume their original form. Yet others want the municipalities and county councils to remain as they are today. How strongly do you support these various views?
Literal question: Further merging of municipalities.
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 121 6.0% 0.06046977
2 Support strongly 208 10.4% 0.10394803
3 Support somewhat 407 20.3% 0.20339830
4 Neither support nor oppose 528 26.4% 0.26386807
5 Oppose somewhat 343 17.1% 0.17141429
6 Oppose strongly 202 10.1% 0.10094953
7 Oppose very strongly 154 7.7% 0.07696152
97 Not answered 38 1.9% 0.01899050
98 Not asked 8159 NA


r24_mlsmm_2


Variable label: How strongly do you support: Retain the present number of municipalities.
Pre-question text: Norway acquired a new municipal and county structure on 1 January 2020. Many municipalities and county councils have been merged and this has recently been the subject of debate. Some people support additional mergers, while others believe that county councils/municipalities should be given the opportunity to assume their original form. Yet others want the municipalities and county councils to remain as they are today. How strongly do you support these various views?
Literal question: Retain the present number of municipalities.
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 62 3.1% 0.03098451
2 Support strongly 173 8.6% 0.08645677
3 Support somewhat 324 16.2% 0.16191904
4 Neither support nor oppose 838 41.9% 0.41879060
5 Oppose somewhat 355 17.7% 0.17741129
6 Oppose strongly 140 7.0% 0.06996502
7 Oppose very strongly 65 3.2% 0.03248376
97 Not answered 44 2.2% 0.02198901
98 Not asked 8159 NA


r24_mlsmm_3


Variable label: How strongly do you support: Give municipalities the opportunity to assume their original form.
Pre-question text: Norway acquired a new municipal and county structure on 1 January 2020. Many municipalities and county councils have been merged and this has recently been the subject of debate. Some people support additional mergers, while others believe that county councils/municipalities should be given the opportunity to assume their original form. Yet others want the municipalities and county councils to remain as they are today. How strongly do you support these various views?
Literal question: Give municipalities the opportunity to assume their original form.
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 182 9.1% 0.09095452
2 Support strongly 249 12.4% 0.12443778
3 Support somewhat 456 22.8% 0.22788606
4 Neither support nor oppose 409 20.4% 0.20439780
5 Oppose somewhat 305 15.2% 0.15242379
6 Oppose strongly 205 10.2% 0.10244878
7 Oppose very strongly 157 7.8% 0.07846077
97 Not answered 38 1.9% 0.01899050
98 Not asked 8159 NA


r24_mlsmr_1


Variable label: How strongly do you support: Further merging of county councils.
Pre-question text: Norway acquired a new municipal and county structure on 1 January 2020. Many municipalities and county councils have been merged and this has recently been the subject of debate. Some people support additional mergers, while others believe that county councils/municipalities should be given the opportunity to assume their original form. Yet others want the municipalities and county councils to remain as they are today. How strongly do you support these various views?
Literal question: Further merging of county councils.
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 103 5.1% 0.05147426
2 Support strongly 109 5.4% 0.05447276
3 Support somewhat 224 11.2% 0.11194403
4 Neither support nor oppose 599 29.9% 0.29935032
5 Oppose somewhat 397 19.8% 0.19840080
6 Oppose strongly 311 15.5% 0.15542229
7 Oppose very strongly 214 10.7% 0.10694653
97 Not answered 44 2.2% 0.02198901
98 Not asked 8159 NA


r24_mlsmr_2


Variable label: How strongly do you support: Retain the present number of county councils.
Pre-question text: Norway acquired a new municipal and county structure on 1 January 2020. Many municipalities and county councils have been merged and this has recently been the subject of debate. Some people support additional mergers, while others believe that county councils/municipalities should be given the opportunity to assume their original form. Yet others want the municipalities and county councils to remain as they are today. How strongly do you support these various views?
Literal question: Retain the present number of county councils.
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 62 3.1% 0.03098451
2 Support strongly 168 8.4% 0.08395802
3 Support somewhat 344 17.2% 0.17191404
4 Neither support nor oppose 836 41.8% 0.41779110
5 Oppose somewhat 298 14.9% 0.14892554
6 Oppose strongly 143 7.1% 0.07146427
7 Oppose very strongly 102 5.1% 0.05097451
97 Not answered 48 2.4% 0.02398801
98 Not asked 8159 NA


r24_mlsmr_3


Variable label: How strongly do you support: Give county councils the opportunity to assume their original form.
Pre-question text: Norway acquired a new municipal and county structure on 1 January 2020. Many municipalities and county councils have been merged and this has recently been the subject of debate. Some people support additional mergers, while others believe that county councils/municipalities should be given the opportunity to assume their original form. Yet others want the municipalities and county councils to remain as they are today. How strongly do you support these various views?
Literal question: Give county councils the opportunity to assume their original form.
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 227 11.3% 0.11344328
2 Support strongly 270 13.5% 0.13493253
3 Support somewhat 477 23.8% 0.23838081
4 Neither support nor oppose 389 19.4% 0.19440280
5 Oppose somewhat 254 12.7% 0.12693653
6 Oppose strongly 167 8.3% 0.08345827
7 Oppose very strongly 177 8.8% 0.08845577
97 Not answered 40 2.0% 0.01999000
98 Not asked 8159 NA


r24_mltam


Variable label: Which of the following statements is closest to your point of view: Municipalities:
Pre-question text: As well as a debate about merging municipalities and county councils, there is also a debate about whether or not the division of work between different levels of government should change. If one level is assigned new tasks, it usually means that another level loses responsibility for those tasks. Which of the following statements is closest to your point of view.
Literal question: Municipalities:
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 should have more tasks 575 28.7% 0.28735632
2 should keep the tasks that they have 1115 55.7% 0.55722139
3 should have fewer tasks 254 12.7% 0.12693653
97 Not answered 57 2.8% 0.02848576
98 Not asked 8159 NA


r24_mltar


Variable label: Which of the following statements is closest to your point of view: County authorities:
Pre-question text: As well as a debate about merging municipalities and county councils, there is also a debate about whether or not the division of work between different levels of government should change. If one level is assigned new tasks, it usually means that another level loses responsibility for those tasks. Which of the following statements is closest to your point of view.
Literal question: County authorities:
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 should have more tasks 393 19.6% 0.19640180
2 should keep the tasks that they have 769 38.4% 0.38430785
3 should have fewer tasks 310 15.5% 0.15492254
4 should be closed down 472 23.6% 0.23588206
97 Not answered 57 2.8% 0.02848576
98 Not asked 8159 NA


r24_mleff1_1


Variable label: Agree/disagree: My municipality is too small to implement the policies for which it is responsible (e.g. primary schools, retirement and nursing homes and local roads) in an efficient and appropriate manner.
Pre-question text: Some people believe that their municipalities or county councils are too small to effectively and appropriately carry out the political work for which they are responsible because their budgets are too small or because they have too few employees. To what extent do you agree or disagree with the following statements?
Literal question: My municipality is too small to implement the policies for which it is responsible (e.g. primary schools, retirement and nursing homes and local roads) in an efficient and appropriate manner.
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 32 1.6% 0.01599200
2 Agree 88 4.4% 0.04397801
3 Agree somewhat 171 8.5% 0.08545727
4 Neither agree nor disagree 325 16.2% 0.16241879
5 Disagree somewhat 207 10.3% 0.10344828
6 Disagree 684 34.2% 0.34182909
7 Strongly disagree 447 22.3% 0.22338831
97 Not answered 47 2.3% 0.02348826
98 Not asked 8159 NA


r24_mleff1_2


Variable label: Agree/disagree: My county council is too small to implement the policies for which it is responsible (e.g. upper secondary schools, dental health services and county roads) in an efficient and appropriate manner
Pre-question text: Some people believe that their municipalities or county councils are too small to effectively and appropriately carry out the political work for which they are responsible because their budgets are too small or because they have too few employees. To what extent do you agree or disagree with the following statements?
Literal question: My county council is too small to implement the policies for which it is responsible (e.g. upper secondary schools, dental health services and county roads) in an efficient and appropriate manner
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 29 1.4% 0.01449275
2 Agree 46 2.3% 0.02298851
3 Agree somewhat 88 4.4% 0.04397801
4 Neither agree nor disagree 407 20.3% 0.20339830
5 Disagree somewhat 215 10.7% 0.10744628
6 Disagree 684 34.2% 0.34182909
7 Strongly disagree 479 23.9% 0.23938031
97 Not answered 53 2.6% 0.02648676
98 Not asked 8159 NA


r24_mleff2_1


Variable label: Agree/disagree: My municipality is too big because it has many residents with differing views on policy
Pre-question text: Some people believe that their municipalities or county councils are too large because they have too many residents with differing views about what might be the best policy for them. For example, in many municipalities and county councils there is a debate about the locations of kindergartens, schools or health centres within the municipalities and county councils concerned. To what extent do you agree or disagree with the following statements?
Literal question: My municipality is too big because it has many residents with differing views on policy
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 37 1.8% 0.01849075
2 Agree 85 4.2% 0.04247876
3 Agree somewhat 129 6.4% 0.06446777
4 Neither agree nor disagree 464 23.2% 0.23188406
5 Disagree somewhat 185 9.2% 0.09245377
6 Disagree 656 32.8% 0.32783608
7 Strongly disagree 392 19.6% 0.19590205
97 Not answered 53 2.6% 0.02648676
98 Not asked 8159 NA


r24_mleff2_2


Variable label: Agree/disagree: My county council is too big because it has many residents with differing views on policy
Pre-question text: Some people believe that their municipalities or county councils are too large because they have too many residents with differing views about what might be the best policy for them. For example, in many municipalities and county councils there is a debate about the locations of kindergartens, schools or health centres within the municipalities and county councils concerned. To what extent do you agree or disagree with the following statements?
Literal question: My county council is too big because it has many residents with differing views on policy
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 146 7.3% 0.07296352
2 Agree 199 9.9% 0.09945027
3 Agree somewhat 224 11.2% 0.11194403
4 Neither agree nor disagree 509 25.4% 0.25437281
5 Disagree somewhat 144 7.2% 0.07196402
6 Disagree 446 22.3% 0.22288856
7 Strongly disagree 275 13.7% 0.13743128
97 Not answered 58 2.9% 0.02898551
98 Not asked 8159 NA


r24_mlcol1_1


Variable label: Agree/disagree: Your municipality and neighbouring municipalities
Pre-question text: Some people believe that their municipalities or county councils ought to cooperate more with other municipalities, county councils or with the national authorities in order to improve public services. For example, cooperation might involve a financial contribution from one authority to another, or regular meetings between authorities. Do you think that the services for which your municipality is responsible (e.g. primary schools, retirement and nursing homes and local roads) will become better or worse if they cooperate more?
Literal question: Your municipality and neighbouring municipalities
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Much better 92 4.6% 0.04597701
2 Better 504 25.2% 0.25187406
3 Slightly better 358 17.9% 0.17891054
4 Neither better nor worse 757 37.8% 0.37831084
5 Slightly worse 102 5.1% 0.05097451
6 Worse 107 5.3% 0.05347326
7 Much worse 21 1.0% 0.01049475
97 Not answered 60 3.0% 0.02998501
98 Not asked 8159 NA


r24_mlcol1_2


Variable label: Agree/disagree: Your municipality and your county
Pre-question text: Some people believe that their municipalities or county councils ought to cooperate more with other municipalities, county councils or with the national authorities in order to improve public services. For example, cooperation might involve a financial contribution from one authority to another, or regular meetings between authorities. Do you think that the services for which your municipality is responsible (e.g. primary schools, retirement and nursing homes and local roads) will become better or worse if they cooperate more?
Literal question: Your municipality and your county
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Much better 91 4.5% 0.04547726
2 Better 426 21.3% 0.21289355
3 Slightly better 421 21.0% 0.21039480
4 Neither better nor worse 815 40.7% 0.40729635
5 Slightly worse 85 4.2% 0.04247876
6 Worse 74 3.7% 0.03698151
7 Much worse 22 1.1% 0.01099450
97 Not answered 67 3.3% 0.03348326
98 Not asked 8159 NA


r24_mlcol1_3


Variable label: Agree/disagree: Your municipality and the government
Pre-question text: Some people believe that their municipalities or county councils ought to cooperate more with other municipalities, county councils or with the national authorities in order to improve public services. For example, cooperation might involve a financial contribution from one authority to another, or regular meetings between authorities. Do you think that the services for which your municipality is responsible (e.g. primary schools, retirement and nursing homes and local roads) will become better or worse if they cooperate more?
Literal question: Your municipality and the government
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Much better 124 6.2% 0.06196902
2 Better 486 24.3% 0.24287856
3 Slightly better 410 20.5% 0.20489755
4 Neither better nor worse 751 37.5% 0.37531234
5 Slightly worse 78 3.9% 0.03898051
6 Worse 60 3.0% 0.02998501
7 Much worse 21 1.0% 0.01049475
97 Not answered 71 3.5% 0.03548226
98 Not asked 8159 NA


r24_mlcol2_1


Variable label: Agree/disagree: Your county council and neighbouring counties
Pre-question text: Do you think that the services for which your county council is responsible (e.g. upper secondary schools, dental health services and county roads) will become better or worse if they cooperate more:
Literal question: Your county council and neighbouring counties
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Much better 73 3.6% 0.03648176
2 Better 365 18.2% 0.18240880
3 Slightly better 350 17.5% 0.17491254
4 Neither better nor worse 921 46.0% 0.46026987
5 Slightly worse 99 4.9% 0.04947526
6 Worse 87 4.3% 0.04347826
7 Much worse 27 1.3% 0.01349325
97 Not answered 79 3.9% 0.03948026
98 Not asked 8159 NA


r24_mlcol2_2


Variable label: Agree/disagree: Your county council and the municipalities in your county
Pre-question text: Do you think that the services for which your county council is responsible (e.g. upper secondary schools, dental health services and county roads) will become better or worse if they cooperate more:
Literal question: Your county council and the municipalities in your county
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Much better 80 4.0% 0.039980010
2 Better 425 21.2% 0.212393803
3 Slightly better 469 23.4% 0.234382809
4 Neither better nor worse 821 41.0% 0.410294853
5 Slightly worse 60 3.0% 0.029985007
6 Worse 53 2.6% 0.026486757
7 Much worse 13 0.6% 0.006496752
97 Not answered 80 4.0% 0.039980010
98 Not asked 8159 NA


r24_mlcol2_3


Variable label: Agree/disagree: Your county council and the government
Pre-question text: Do you think that the services for which your county council is responsible (e.g. upper secondary schools, dental health services and county roads) will become better or worse if they cooperate more:
Literal question: Your county council and the government
Technical description: [Asked if r24_group = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Much better 114 5.7% 0.056971514
2 Better 444 22.2% 0.221889055
3 Slightly better 394 19.7% 0.196901549
4 Neither better nor worse 817 40.8% 0.408295852
5 Slightly worse 68 3.4% 0.033983008
6 Worse 63 3.1% 0.031484258
7 Much worse 18 0.9% 0.008995502
97 Not answered 83 4.1% 0.041479260
98 Not asked 8159 NA


r24_cefee_1


Variable label: With regard to climate change, how strongly do you experience: Hope
Pre-question text: With regard to climate change and everything you associate with it, how strongly do you experience the following emotions?
Literal question: Hope
Technical description: [Asked if r24_group = 2]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all 92 4.5% 0.04496579
2 A little 402 19.6% 0.19648094
3 To a degree 1066 52.1% 0.52101662
4 Strongly 398 19.5% 0.19452590
5 Very strongly 60 2.9% 0.02932551
97 Not answered 28 1.4% 0.01368524
98 Not asked 8114 NA


r24_cefee_2


Variable label: With regard to climate change, how strongly do you experience: Fear
Pre-question text: With regard to climate change and everything you associate with it, how strongly do you experience the following emotions?
Literal question: Fear
Technical description: [Asked if r24_group = 2]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all 238 11.6% 0.11632454
2 A little 568 27.8% 0.27761486
3 To a degree 879 43.0% 0.42961877
4 Strongly 269 13.1% 0.13147605
5 Very strongly 67 3.3% 0.03274682
97 Not answered 25 1.2% 0.01221896
98 Not asked 8114 NA


r24_cefee_3


Variable label: With regard to climate change, how strongly do you experience: Sadness
Pre-question text: With regard to climate change and everything you associate with it, how strongly do you experience the following emotions?
Literal question: Sadness
Technical description: [Asked if r24_group = 2]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all 245 12.0% 0.11974585
2 A little 455 22.2% 0.22238514
3 To a degree 779 38.1% 0.38074291
4 Strongly 401 19.6% 0.19599218
5 Very strongly 142 6.9% 0.06940371
97 Not answered 24 1.2% 0.01173021
98 Not asked 8114 NA


r24_cefee_4


Variable label: With regard to climate change, how strongly do you experience: Anger
Pre-question text: With regard to climate change and everything you associate with it, how strongly do you experience the following emotions?
Literal question: Anger
Technical description: [Asked if r24_group = 2]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all 397 19.4% 0.19403715
2 A little 653 31.9% 0.31915934
3 To a degree 660 32.3% 0.32258065
4 Strongly 216 10.6% 0.10557185
5 Very strongly 84 4.1% 0.04105572
97 Not answered 36 1.8% 0.01759531
98 Not asked 8114 NA


r24_cefee_5


Variable label: With regard to climate change, how strongly do you experience: Guilt
Pre-question text: With regard to climate change and everything you associate with it, how strongly do you experience the following emotions?
Literal question: Guilt
Technical description: [Asked if r24_group = 2]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all 372 18.2% 0.18181818
2 A little 693 33.9% 0.33870968
3 To a degree 820 40.1% 0.40078201
4 Strongly 106 5.2% 0.05180841
5 Very strongly 25 1.2% 0.01221896
97 Not answered 30 1.5% 0.01466276
98 Not asked 8114 NA


r24_ceang


Variable label: What is it about climate change that makes you angry?
Literal question: What is it about climate change that makes you angry?
Post-question: Please write down the first thing that comes to mind. All types of responses are welcome, preferably a couple of sentences, or just a few words if you prefer.
Technical description:

[Asked if r24_cefee_4 = 3,4,5 & r24_group = 2]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open] [Format:character] [Valid:0] [Invalid:10160] [Range:-]



r24_cemor


Variable label: To what degree do you regard it as a moral duty for individuals to contribute towards preventing climate change?
Literal question: To what degree do you regard it as a moral duty for individuals to contribute towards preventing climate change?
Technical description: [Asked if r24_group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great extent 471 23.0% 0.230205279
2 To a great extent 862 42.1% 0.421309873
3 Somewhat 551 26.9% 0.269305963
4 To a small extent 109 5.3% 0.053274682
5 Not at all 48 2.3% 0.023460411
97 Not answered 5 0.2% 0.002443793
98 Not asked 8114 NA


r24_celim


Variable label: Agree/disagree: I am trying to limit climate emissions in my everyday life.
Pre-question text: To what extent do you agree or disagree with the following statement?
Literal question: I am trying to limit climate emissions in my everyday life.
Technical description: [Asked if r24_group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 314 15.3% 0.1534701857
2 Agree 924 45.2% 0.4516129032
3 Agree somewhat 548 26.8% 0.2678396872
4 Neither agree nor disagree 156 7.6% 0.0762463343
5 Disagree somewhat 35 1.7% 0.0171065494
6 Disagree 32 1.6% 0.0156402737
7 Strongly disagree 35 1.7% 0.0171065494
97 Not answered 2 0.1% 0.0009775171
98 Not asked 8114 NA


r24_cefeg


Variable label: Agree/disagree: I would support a political proposal to increase taxes on petrol and diesel.
Pre-question text: To what extent do you agree or disagree with the following statement?
Literal question: I would support a political proposal to increase taxes on petrol and diesel.
Technical description: [Asked if r24_group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 188 9.2% 0.091886608
2 Agree 243 11.9% 0.118768328
3 Agree somewhat 309 15.1% 0.151026393
4 Neither agree nor disagree 246 12.0% 0.120234604
5 Disagree somewhat 208 10.2% 0.101661779
6 Disagree 333 16.3% 0.162756598
7 Strongly disagree 500 24.4% 0.244379277
97 Not answered 19 0.9% 0.009286413
98 Not asked 8114 NA


r24_cecpr


Variable label: Agree/disagree: It is likely that I will take part in a climate protest during the next 12 months.
Pre-question text: To what extent do you agree or disagree with the following statement?
Literal question: It is likely that I will take part in a climate protest during the next 12 months
Technical description: [Asked if r24_group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 41 2.0% 0.020039101
2 Agree 92 4.5% 0.044965787
3 Agree somewhat 151 7.4% 0.073802542
4 Neither agree nor disagree 360 17.6% 0.175953079
5 Disagree somewhat 167 8.2% 0.081622678
6 Disagree 481 23.5% 0.235092864
7 Strongly disagree 746 36.5% 0.364613881
97 Not answered 8 0.4% 0.003910068
98 Not asked 8114 NA


r24_cemeax_ran1


Variable label: Experiment. Randomly selects text piping alternative for [r24_cemeax]
Technical description: [Randomized if r24_group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2043] [Invalid:8117] [Range:1-2]

Value Label Cases Percentage
1 offer meat-free meals 999 48.9% 0.4889868
2 have a meat-free day once per week 1044 51.1% 0.5110132
Sysmiss 8117 NA


r24_cemeax_ran2


Variable label: Experiment. Randomly selects text piping alternative for [r24_cemeax]
Technical description: [Randomized if r24_group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2043] [Invalid:8117] [Range:1-2]

Value Label Cases Percentage
1 Selects r24_cemeax1 1028 50.3% 0.5031816
2 Selects r24_cemeax2 1015 49.7% 0.4968184
Sysmiss 8117 NA


r24_cemeax1


Variable label: To what extent do you agree or disagree that canteens should [r24_cemeax_ran1] in order to reduce greenhouse gas emissions?
Literal question: To what extent do you agree or disagree that canteens should [r24_cemeax_ran1] in order to reduce greenhouse gas emissions?
Technical description: [Asked if r24_cemeax_ran2 = 1 & r24_group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Agree 360 35.0% 0.350194553
2 Somewhat agree 240 23.3% 0.233463035
3 Somewhat disagree 129 12.5% 0.125486381
4 Disagree 293 28.5% 0.285019455
97 Not answered 6 0.6% 0.005836576
98 Not asked 9132 NA


r24_cemeax2


Variable label: Your assessment: Is there a majority or minority in Norway who believe that canteens should [r24_cemeax_ran1] in order to reduce greenhouse gas emissions?
Pre-question text: What is your assessment:
Literal question: Is there a majority or minority in Norway who believe that canteens should [r24_cemeax_ran1] in order to reduce greenhouse gas emissions?
Technical description: [Asked if r24_cemeax_ran2 = 2 & r24_group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 A majority 248 24.4% 0.24433498
2 A minority 748 73.7% 0.73694581
97 Not answered 19 1.9% 0.01871921
98 Not asked 9145 NA


r24_cemea


Variable label: Agree/disagree: We should eat less meat than we do today in order to reduce greenhouse gas emissions.
Pre-question text: To what extent do you agree or disagree with the following statement?
Literal question: We should eat less meat than we do today in order to reduce greenhouse gas emissions.
Technical description: [Asked if r24_group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 344 16.8% 0.168132942
2 Agree 441 21.6% 0.215542522
3 Agree somewhat 432 21.1% 0.211143695
4 Neither agree nor disagree 288 14.1% 0.140762463
5 Disagree somewhat 119 5.8% 0.058162268
6 Disagree 203 9.9% 0.099217986
7 Strongly disagree 214 10.5% 0.104594330
97 Not answered 5 0.2% 0.002443793
98 Not asked 8114 NA


r24_ceinax_ran1


Variable label: Experiment. Randomly selects text piping alternative for [r24_ceinax]
Technical description: [Randomized if r24_group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2042] [Invalid:8118] [Range:1-2]

Value Label Cases Percentage
1 female 989 48.4% 0.4843291
2 male 1053 51.6% 0.5156709
Sysmiss 8118 NA


r24_ceinax_ran2


Variable label: Experiment. Randomly selects text piping alternative for [r24_ceinax]
Technical description: [Randomized if r24_group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2042] [Invalid:8118] [Range:1-3]

Value Label Cases Percentage
1 [Blank] 675 33.1% 0.3305583
2 and is obviously angry that not enough is being done 684 33.5% 0.3349657
3 and is obviously sad that not enough is being done 683 33.4% 0.3344760
Sysmiss 8118 NA


r24_ceinax_1


Variable label: Extent of confidence in: Scientists telling that we are currently unable to keeping global warming below 1.5 degrees
Pre-question text:

Imagine the following situation:

A [r24_ceinax_ran1] scientist is being interviewed about climate change on a TV news programme. The scientist tells us that we are currently unable to achieve our goal of keeping global warming below 1.5 degrees [r24_ceinax_ran2].

Literal question: To what extent do you have confidence in the information provided by this person?
Technical description: [Asked if r24_group = 2]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all 107 5.2% 0.052297165
2 Slightly 217 10.6% 0.106060606
3 Somewhat 659 32.2% 0.322091887
4 To a great extent 745 36.4% 0.364125122
5 To a very great extent 300 14.7% 0.146627566
97 Not answered 18 0.9% 0.008797654
98 Not asked 8114 NA


r24_ceinax_2


Variable label: To what extent do you take seriously: Scientists telling that we are currently unable to keeping global warming below 1.5 degrees
Pre-question text:

Imagine the following situation:

A [r24_ceinax_ran1] scientist is being interviewed about climate change on a TV news programme. The scientist tells us that we are currently unable to achieve our goal of keeping global warming below 1.5 degrees[r24_ceinax_ran2].

Literal question: To what extent do you take the scientist seriously?
Technical description: [Asked if r24_group = 2]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all 86 4.2% 0.04203324
2 Slightly 221 10.8% 0.10801564
3 Somewhat 654 32.0% 0.31964809
4 To a great extent 764 37.3% 0.37341153
5 To a very great extent 292 14.3% 0.14271750
97 Not answered 29 1.4% 0.01417400
98 Not asked 8114 NA


r24_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: You can tick multiple boxes.
Technical description:

[Asked if r24_group = 2]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:10160] [Range:-]



r24_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: You can tick multiple boxes.
Technical description:

[Asked if r24_group = 2]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:10160] [Range:-]



r24_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: You can tick multiple boxes.
Technical description:

[Asked if r24_group = 2]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:10160] [Range:-]



r24_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: You can tick multiple boxes.
Technical description:

[Asked if r24_group = 2]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:10160] [Range:-]



r24_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: You can tick multiple boxes.
Technical description:

[Asked if r24_group = 2]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:0] [Invalid:10160] [Range:-]



r24_dvetn_5_other


Variable label: Identify as: Other
Pre-question text: People have different ethnic origins. What do you identify as?
Literal question: Other
Post-question: You can tick multiple boxes.
Technical description:

[Asked if r24_group = 2]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Multi - Other] [Format:numeric] [Valid:0] [Invalid:10160] [Range:-]



r24_dvtck


Variable label: Are you aware that the Storting (the Norwegian parliament) has appointed a special truth and reconciliation commission to investigate the Norwegianisation policy?
Literal question: Are you aware that the Storting (the Norwegian parliament) has appointed a special truth and reconciliation commission to investigate the Norwegianisation policy that targeted Sami, Kven/Norwegian Finn, and Forest Finn people?
Technical description: [Asked if r24_group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 765 37.4% 0.37390029
2 No 1267 61.9% 0.61925709
97 Not answered 14 0.7% 0.00684262
98 Not asked 8114 NA


r24_dvtcr


Variable label: To what extent do you think that a truth and reconciliation commission in Norway can contribute to reconciliation?
Literal question: To what extent do you think that a truth and reconciliation commission in Norway can contribute to reconciliation between minority groups (Sami, Kven/Norwegian Finn, and Forest Finn people) and the State?
Technical description: [Asked if r24_group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 To a very great extent 35 1.7% 0.017106549
2 To a great extent 191 9.3% 0.093352884
3 To some extent 885 43.3% 0.432551320
4 To a small extent 410 20.0% 0.200391007
5 Not at all 120 5.9% 0.058651026
6 Do not know 395 19.3% 0.193059629
97 Not answered 10 0.5% 0.004887586
98 Not asked 8114 NA


r24_dvtcw


Variable label: What do you think about when you hear or read the word “reconciliation”?
Literal question: What do you think about when you hear or read the word “reconciliation”?
Post-question: Please write down the first thing that comes to mind. All types of responses are welcome, preferably a couple of sentences, or just a few words if you prefer.
Technical description:

[Asked if r24_group = 2]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open] [Format:character] [Valid:0] [Invalid:10160] [Range:-]



r24_dvtcn_1


Variable label: How familiar do you think most people are with the Norwegianisation policy in respect of the following groups: 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
Technical description: [Asked if r24_group = 2]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very familiar 121 5.9% 0.059139785
2 Familiar 545 26.6% 0.266373412
3 Not very familiar 917 44.8% 0.448191593
4 Not at all familiar 228 11.1% 0.111436950
5 Do not know 218 10.7% 0.106549365
97 Not answered 17 0.8% 0.008308895
98 Not asked 8114 NA


r24_dvtcn_2


Variable label: How familiar do you think most people are with the Norwegianisation policy in respect of the following groups: 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
Technical description: [Asked if r24_group = 2]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very familiar 36 1.8% 0.01759531
2 Familiar 136 6.6% 0.06647116
3 Not very familiar 870 42.5% 0.42521994
4 Not at all familiar 703 34.4% 0.34359726
5 Do not know 278 13.6% 0.13587488
97 Not answered 23 1.1% 0.01124145
98 Not asked 8114 NA


r24_dvtcn_3


Variable label: How familiar do you think most people are with the Norwegianisation policy in respect of the following groups: 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
Technical description: [Asked if r24_group = 2]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very familiar 32 1.6% 0.01564027
2 Familiar 89 4.3% 0.04349951
3 Not very familiar 749 36.6% 0.36608016
4 Not at all familiar 846 41.3% 0.41348974
5 Do not know 306 15.0% 0.14956012
97 Not answered 24 1.2% 0.01173021
98 Not asked 8114 NA


r24_dvtcs


Variable label: How familiar are you with the fact that the Truth and Reconciliation Committee has organised a series of open meetings about Norwegianisation policy?
Literal question: How familiar are you with the fact that the Truth and Reconciliation Committee has organised a series of open meetings to which they have invited people to tell their personal stories about Norwegianisation policy?
Technical description: [Asked if r24_group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Very familiar 23 1.1% 0.011241447
2 Familiar 91 4.4% 0.044477028
3 Not very familiar 497 24.3% 0.242913001
4 Not at all familiar 628 30.7% 0.306940371
5 Do not know 127 6.2% 0.062072336
6 I do not know about the Committee 664 32.5% 0.324535679
97 Not answered 16 0.8% 0.007820137
98 Not asked 8114 NA


r24_dvtcm_1


Variable label: Have you heard, seen or read about the Truth and Reconciliation Committee in the following media: TV
Pre-question text: Have you heard, seen or read about the Truth and Reconciliation Committee in the following media:
Literal question: TV
Technical description:

[Asked if (r24_dvtck != 2 | r24_dvtcs != 6) & r24_group = 2]

[The question was intented exposed to respondents where [r24_dvtck] != 2 or [r24_dvtcs] != 6. Due to a technical error no respondents were exposed to the question.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:97-*]

Value Label Cases Percentage
1 Yes 0 0.0% 0
2 No 0 0.0% 0
3 Do not know 0 0.0% 0
97 Not answered 1399 100.0% 1
98 Not asked 8761 NA


r24_dvtcm_2


Variable label: Have you heard, seen or read about the Truth and Reconciliation Committee in the following media: Radio
Pre-question text: Have you heard, seen or read about the Truth and Reconciliation Committee in the following media:
Literal question: Radio
Technical description:

[Asked if (r24_dvtck != 2 | r24_dvtcs != 6) & r24_group = 2]

[The question was intented exposed to respondents where [r24_dvtck] != 2 or [r24_dvtcs] != 6. Due to a technical error no respondents were exposed to the question.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:97-*]

Value Label Cases Percentage
1 Yes 0 0.0% 0
2 No 0 0.0% 0
3 Do not know 0 0.0% 0
97 Not answered 1399 100.0% 1
98 Not asked 8761 NA


r24_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: Have you heard, seen or read about the Truth and Reconciliation Committee in the following media:
Literal question: National newspapers (paper newspapers and online newspapers)
Technical description:

[Asked if (r24_dvtck != 2 | r24_dvtcs != 6) & r24_group = 2]

[The question was intented exposed to respondents where [r24_dvtck] != 2 or [r24_dvtcs] != 6. Due to a technical error no respondents were exposed to the question.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:97-*]

Value Label Cases Percentage
1 Yes 0 0.0% 0
2 No 0 0.0% 0
3 Do not know 0 0.0% 0
97 Not answered 1399 100.0% 1
98 Not asked 8761 NA


r24_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: Have you heard, seen or read about the Truth and Reconciliation Committee in the following media:
Literal question: Local newspapers (paper newspapers and online newspapers)
Technical description:

[Asked if (r24_dvtck != 2 | r24_dvtcs != 6) & r24_group = 2]

[The question was intented exposed to respondents where [r24_dvtck] != 2 or [r24_dvtcs] != 6. Due to a technical error no respondents were exposed to the question.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:97-*]

Value Label Cases Percentage
1 Yes 0 0.0% 0
2 No 0 0.0% 0
3 Do not know 0 0.0% 0
97 Not answered 1399 100.0% 1
98 Not asked 8761 NA


r24_dvtcm_5


Variable label: Have you heard, seen or read about the Truth and Reconciliation Committee in the following media: Social media (Facebook, Twitter, Instagram, etc.)
Pre-question text: Have you heard, seen or read about the Truth and Reconciliation Committee in the following media:
Literal question: Social media (Facebook, Twitter, Instagram, etc.)
Technical description:

[Asked if (r24_dvtck != 2 | r24_dvtcs != 6) & r24_group = 2]

[The question was intented exposed to respondents where [r24_dvtck] != 2 or [r24_dvtcs] != 6. Due to a technical error no respondents were exposed to the question.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:97-*]

Value Label Cases Percentage
1 Yes 0 0.0% 0
2 No 0 0.0% 0
3 Do not know 0 0.0% 0
97 Not answered 1399 100.0% 1
98 Not asked 8761 NA


r24_dvtcp


Variable label: Agree/disagree: Norwegians have a role to play in contributing towards reconciliation between minority groups and Norwegians
Pre-question text: One of the main tasks of the Truth and Reconciliation Commission is to create reconciliation in Norway between (a) minority groups (Sami, Kvens/Norwegian Finns and Forest Finns) and the state, and (b) between these different minority groups and the majority population.
Literal question: To what extent do you agree or disagree that Norwegians generally have a personal role to play in contributing towards reconciliation between these minority groups and Norwegians?
Technical description: [Asked if r24_group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 289 14.1% 0.141251222
2 Agree 642 31.4% 0.313782991
3 Agree somewhat 462 22.6% 0.225806452
4 Neither agree nor disagree 441 21.6% 0.215542522
5 Disagree somewhat 81 4.0% 0.039589443
6 Disagree 73 3.6% 0.035679374
7 Strongly disagree 42 2.1% 0.020527859
97 Not answered 16 0.8% 0.007820137
98 Not asked 8114 NA


r24_menewx_rangroup


Variable label: Experiment. Randomly selects a group for the [r24_menewx]-experiment based on weighted randomisation with a 90/10-allocation.
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty)]

[Weighted randomization with a 90/10-allocation.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1957] [Invalid:8203] [Range:1-2]

Value Label Cases Percentage
1 Selection 1 (90% probability) 1762 90.0% 0.90035769
2 Selection 2 (10% probability) 195 10.0% 0.09964231
Sysmiss 8203 NA


r24_menewx1a_tema1


Variable label: Experiment. Randomly selects a theme for the article in the first column in [r24_menewx1a1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1a_tema2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1762] [Invalid:8398] [Range:1-2]

Value Label Cases Percentage
1 Meat prices 897 50.9% 0.5090806
2 Extension of abortion to 22 weeks 865 49.1% 0.4909194
Sysmiss 8398 NA


r24_menewx1a_tema2


Variable label: Experiment. Randomly selects a theme for the article in the second column in [r24_menewx1a1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1a_tema1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1762] [Invalid:8398] [Range:1-2]

Value Label Cases Percentage
1 Meat prices 865 49.1% 0.4909194
2 Extension of abortion to 22 weeks 897 50.9% 0.5090806
Sysmiss 8398 NA


r24_menewx1a_overskrift1


Variable label: Experiment. Randomly selects a headline for textpiping in the first column in [r24_menewx1a1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Randomly selects article based on randomized subject and journalistic angle]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1762] [Invalid:8398] [Range:1-8]

Value Label Cases Percentage
1 Meat could become more expensive. Environment groups believe that imposing a tax on red meat is one of the cheapest and most effective measures for reducing Norwegian emissions. 217 12.3% 0.1231555
2 “Must be allowed to eat pizza with minced beef on Fridays.” Farmer thinks that Norwegians should be able to eat pizza with beef on Fridays without being shamed for eating meat. 228 12.9% 0.1293984
3 New calculation: this is how bad is meat is for the environment. According to a new survey, we could reduce CO2 emissions from agriculture by 50% by growing corn and vegetables instead of keeping animals. 243 13.8% 0.1379115
4 Thinks the world needs more food. “Reducing the production of meat in Norway would not be compatible with the goal of increasing world food production,” says the head of the Norwegian Agricultural Cooperatives in Norway. 209 11.9% 0.1186152
5 Women's rights advocates want to extend self-determined abortion to week 22. “We want to transfer power from the committees to women. The committee system is outdated and has played out its role.” 209 11.9% 0.1186152
6 Critical of proposals for self-determined abortion by week 22. The Norwegian Midwifery Federation says that more midwives will opt out if self-determined abortion is extended to week 22. 204 11.6% 0.1157775
7 Had to have a late abortion in week 22. “It's so painful to read comments about me being a child murderer when I lost a much-wanted child,” says Cecilie (31). 226 12.8% 0.1282633
8 Shocked by proposals for self-determined abortion in week 22: 'We gave our baby a name in week 22,” says Ida (32). 226 12.8% 0.1282633
Sysmiss 8398 NA


r24_menewx1a_overskrift2


Variable label: Experiment. Randomly selects a headline for textpiping in the second column in [r24_menewx1a1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Randomly selects article based on randomized subject and journalistic angle]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1762] [Invalid:8398] [Range:1-8]

Value Label Cases Percentage
1 Meat could become more expensive. Environment groups believe that imposing a tax on red meat is one of the cheapest and most effective measures for reducing Norwegian emissions. 205 11.6% 0.1163451
2 “Must be allowed to eat pizza with minced beef on Fridays.” Farmer thinks that Norwegians should be able to eat pizza with beef on Fridays without being shamed for eating meat. 220 12.5% 0.1248581
3 New calculation: this is how bad is meat is for the environment. According to a new survey, we could reduce CO2 emissions from agriculture by 50% by growing corn and vegetables instead of keeping animals. 225 12.8% 0.1276958
4 Thinks the world needs more food. “Reducing the production of meat in Norway would not be compatible with the goal of increasing world food production,” says the head of the Norwegian Agricultural Cooperatives in Norway. 215 12.2% 0.1220204
5 Women's rights advocates want to extend self-determined abortion to week 22. “We want to transfer power from the committees to women. The committee system is outdated and has played out its role.” 214 12.1% 0.1214529
6 Critical of proposals for self-determined abortion by week 22. The Norwegian Midwifery Federation says that more midwives will opt out if self-determined abortion is extended to week 22. 241 13.7% 0.1367764
7 Had to have a late abortion in week 22. “It's so painful to read comments about me being a child murderer when I lost a much-wanted child,” says Cecilie (31). 223 12.7% 0.1265607
8 Shocked by proposals for self-determined abortion in week 22: 'We gave our baby a name in week 22,” says Ida (32). 219 12.4% 0.1242906
Sysmiss 8398 NA


r24_menewx1a_vinkling1


Variable label: Experiment. Randomly selects an angle for the article in the first column in [r24_menewx1a1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1a_vinkling2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1762] [Invalid:8398] [Range:1-2]

Value Label Cases Percentage
1 In favour 895 50.8% 0.5079455
2 Opposed 867 49.2% 0.4920545
Sysmiss 8398 NA


r24_menewx1a_vinkling2


Variable label: Experiment. Randomly selects an angle for the article in the second column in [r24_menewx1a1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1a_vinkling1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1762] [Invalid:8398] [Range:1-2]

Value Label Cases Percentage
1 In favour 867 49.2% 0.4920545
2 Opposed 895 50.8% 0.5079455
Sysmiss 8398 NA


r24_menewx1a_tid1


Variable label: Experiment. Randomly selects time for textpiping in the first column in [r24_menewx1a1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1a_tid2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1762] [Invalid:8398] [Range:1-2]

Value Label Cases Percentage
1 2 minutes ago 922 52.3% 0.523269
2 5 days ago 840 47.7% 0.476731
Sysmiss 8398 NA


r24_menewx1a_tid2


Variable label: Experiment. Randomly selects time for textpiping in the second column in [r24_menewx1a1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1a_tid1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1762] [Invalid:8398] [Range:1-2]

Value Label Cases Percentage
1 2 minutes ago 840 47.7% 0.476731
2 5 days ago 922 52.3% 0.523269
Sysmiss 8398 NA


r24_menewx1a_populaer1


Variable label: Experiment. Randomly selects popularity for textpiping in the first column in [r24_menewx1a1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1a_populaer2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1762] [Invalid:8398] [Range:1-2]

Value Label Cases Percentage
1 One of the most widely read cases on the front pages right now. 861 48.9% 0.4886493
2 One of the least widely read cases on the front pages right now. 901 51.1% 0.5113507
Sysmiss 8398 NA


r24_menewx1a_populaer2


Variable label: Experiment. Randomly selects popularity for textpiping in the second column in [r24_menewx1a1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1a_populaer1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1762] [Invalid:8398] [Range:1-2]

Value Label Cases Percentage
1 One of the most widely read cases on the front pages right now. 901 51.1% 0.5113507
2 One of the least widely read cases on the front pages right now. 861 48.9% 0.4886493
Sysmiss 8398 NA


r24_menewx1a_perspop1


Variable label: Experiment. Randomly selects whether the article is widely read within the respondents demography or not for textpiping in the first column in [r24_menewx1a1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1a_perspop2]][The respondents gender, age, and region is textpiped into the questiontext]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1762] [Invalid:8398] [Range:1-2]

Value Label Cases Percentage
1 Match: “This article is widely read among [gender] in the [age group] age group living [in Region], and is therefore suggested for people like you.” 890 50.5% 0.5051078
2 No match: “This article is not widely read among [gender] in the [age group] age group living [in Region], and is therefore suggested for people like you.” 872 49.5% 0.4948922
Sysmiss 8398 NA


r24_menewx1a_perspop2


Variable label: Experiment. Randomly selects whether the article is widely read within the respondents demography or not for textpiping in the second column in [r24_menewx1a1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1a_perspop1]][The respondents gender, age, and region is textpiped into the questiontext]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1762] [Invalid:8398] [Range:1-2]

Value Label Cases Percentage
1 Match: “This article is widely read among [gender] in the [age group] age group living [in Region], and is therefore suggested for people like you.” 872 49.5% 0.4948922
2 No match: “This article is not widely read among [gender] in the [age group] age group living [in Region], and is therefore suggested for people like you.” 890 50.5% 0.5051078
Sysmiss 8398 NA


r24_menewx1a_sted1


Variable label: Experiment. Randomly selects place for textpiping in the first column in [r24_menewx1a1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1a_sted2]][If ‘close’ the respondent was shown the name of its home municipality. If ‘distant’ the respondent was shown a randomly selected municipality from a county different from the respondents home county. The municipalities Oslo, Bergen, Stavanger, Trondheim, and Tromsø isn’t selected. Municipalities from Viken will not be selected if the respondent has Oslo as their home municipality.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1762] [Invalid:8398] [Range:1-2]

Value Label Cases Percentage
1 Close 854 48.5% 0.4846765
2 Distant 908 51.5% 0.5153235
Sysmiss 8398 NA


r24_menewx1a_sted2


Variable label: Experiment. Randomly selects place for textpiping in the second column in [r24_menewx1a1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1a_sted1]][If ‘close’ the respondent was shown the name of its home municipality. If ‘distant’ the respondent was shown a randomly selected municipality from a county different from the respondents home county. The municipalities Oslo, Bergen, Stavanger, Trondheim, and Tromsø isn’t selected. Municipalities from Viken will not be selected if the respondent has Oslo as their home municipality.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1762] [Invalid:8398] [Range:1-2]

Value Label Cases Percentage
1 Close 908 51.5% 0.5153235
2 Distant 854 48.5% 0.4846765
Sysmiss 8398 NA


r24_menewx1a_lang1


Variable label: Experiment. Randomly selects length for textpiping in the first column in [r24_menewx1a1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1a_lang2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1762] [Invalid:8398] [Range:1-2]

Value Label Cases Percentage
1 2 minutes 880 49.9% 0.4994325
2 15 minutes 882 50.1% 0.5005675
Sysmiss 8398 NA


r24_menewx1a_lang2


Variable label: Experiment. Randomly selects length for textpiping in the second column in [r24_menewx1a1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1a_lang1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1762] [Invalid:8398] [Range:1-2]

Value Label Cases Percentage
1 2 minutes 882 50.1% 0.5005675
2 15 minutes 880 49.9% 0.4994325
Sysmiss 8398 NA


r24_menewx1a_rangering1


Variable label: Experiment. Selects element for textpiping in the first column in [r24_menewx1a1]. Selection conditional on answers given in [r24_meira]
Technical description: [Set based on rank given in [r24_meira]][The article on meat prices is selected if theme ‘climate change’ is ranked higher than ‘abortion legislation’ in [r24_meira]. The article on abortion legislation is selected if the theme ‘abortion legislation’ is ranked higher than ‘climate change’ in [r24_meira]. If [r24_meira] is unanswered the initial random sorting of [r24_meira] is used.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1762] [Invalid:8398] [Range:1-2]

Value Label Cases Percentage
1 You have previously indicated that you are interested in knowing more about the subject of the article. The article has therefore been suggested to you, based on your ranking of the topic. 896 50.9% 0.5085131
2 You have previously indicated that you are less interested in knowing more about the subject of the article. The article has therefore not been suggested to you, based on your ranking of the topic. 866 49.1% 0.4914869
Sysmiss 8398 NA


r24_menewx1a_rangering2


Variable label: Experiment. Selects element for textpiping in the second column in [r24_menewx1a1]. Selection conditional on answers given in [r24_meira]
Technical description: [Set based on rank given in [r24_meira]][The article on meat prices is selected if theme ‘climate change’ is ranked higher than ‘abortion legislation’ in [r24_meira]. The article on abortion legislation is selected if the theme ‘abortion legislation’ is ranked higher than ‘climate change’ in [r24_meira]. If [r24_meira] is unanswered the initial random sorting of [r24_meira] is used.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1762] [Invalid:8398] [Range:1-2]

Value Label Cases Percentage
1 You have previously indicated that you are interested in knowing more about the subject of the article. The article has therefore been suggested to you, based on your ranking of the topic. 866 49.1% 0.4914869
2 You have previously indicated that you are less interested in knowing more about the subject of the article. The article has therefore not been suggested to you, based on your ranking of the topic. 896 50.9% 0.5085131
Sysmiss 8398 NA


r24_menewx1a1


Variable label: Experiment. Recommendation algorithms effect on news choices.
Pre-question text:

The table below shows the headline of two genuine news stories which have been published in Norwegian online newspapers (e.g. NRK, TV2, VG, and Nettavisen).

Please read all the information in the table and consider the question below.

Story 1

[r24_menewx1a_overskrift1]

[r24_menewx1a_tid1]

[r24_menewx1a_populaer1]

[r24_menewx1a_perspop1]

[r24_menewx1a_sted1]

[r24_menewx1a_tid1]

[r24_menewx1a_rangering1]

Story 2

[r24_menewx1a_overskrift2]

[r24_menewx1a_tid2]

[r24_menewx1a_populaer2]

[r24_menewx1a_perspop2]

[r24_menewx1a_sted2]

[r24_menewx1a_tid2]

[r24_menewx1a_rangering2]
Literal question: Which of these two stories are you most likely to click on to read more?
Technical description:

[Asked if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[The contents of the table was listed in the order set in [r24_menewx1_roworder]][Posed on the same page as [r24_menewx1a2], and [r24_menewx1a3]][The experiment was repeated four times (a, b, c, d)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 News story 1 892 50.6% 0.50624291
2 News story 2 815 46.3% 0.46254257
97 Not answered 55 3.1% 0.03121453
98 Not asked 8398 NA


r24_menewx1a2


Variable label: How likely is it that you would have clicked on Story 1 in order to read more?
Literal question: On a scale of 1 to 5, how likely is it that you would have clicked on Story 1 in order to read more?
Technical description:

[Asked if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Posed on the same page as [r24_menewx1a1], and [r24_menewx1a3]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - Not at all likely 106 6.0% 0.06015891
2 2 - Not very likely 382 21.7% 0.21679909
3 3 - Somewhat likely 571 32.4% 0.32406356
4 4 - Likely 521 29.6% 0.29568672
5 5 - Highly likely 153 8.7% 0.08683314
97 Not answered 29 1.6% 0.01645857
98 Not asked 8398 NA


r24_menewx1a3


Variable label: How likely is it that you would have clicked on Story 2 in order to read more?
Literal question: On a scale of 1 to 5, how likely is it that you would have clicked on Story 2 in order to read more?
Technical description:

[Asked if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Posed on the same page as [r24_menewx1a1], and [r24_menewx1a2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - Not at all likely 128 7.3% 0.07264472
2 2 - Not very likely 356 20.2% 0.20204313
3 3 - Somewhat likely 571 32.4% 0.32406356
4 4 - Likely 490 27.8% 0.27809308
5 5 - Highly likely 192 10.9% 0.10896708
97 Not answered 25 1.4% 0.01418842
98 Not asked 8398 NA


r24_menewx1b_tema1


Variable label: Experiment. Randomly selects a theme for the article in the first column in [r24_menewx1b1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1b_tema2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1754] [Invalid:8406] [Range:1-2]

Value Label Cases Percentage
1 Meat prices 876 49.9% 0.4994299
2 Extension of abortion to 22 weeks 878 50.1% 0.5005701
Sysmiss 8406 NA


r24_menewx1b_tema2


Variable label: Experiment. Randomly selects a theme for the article in the second column in [r24_menewx1b1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1b_tema1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1754] [Invalid:8406] [Range:1-2]

Value Label Cases Percentage
1 Meat prices 878 50.1% 0.5005701
2 Extension of abortion to 22 weeks 876 49.9% 0.4994299
Sysmiss 8406 NA


r24_menewx1b_overskrift1


Variable label: Experiment. Randomly selects a headline for textpiping in the first column in [r24_menewx1b1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Randomly selects article based on randomized subject and journalistic angle]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1754] [Invalid:8406] [Range:1-8]

Value Label Cases Percentage
1 Meat could become more expensive. Environment groups believe that imposing a tax on red meat is one of the cheapest and most effective measures for reducing Norwegian emissions. 225 12.8% 0.1282782
2 “Must be allowed to eat pizza with minced beef on Fridays.” Farmer thinks that Norwegians should be able to eat pizza with beef on Fridays without being shamed for eating meat. 229 13.1% 0.1305587
3 New calculation: this is how bad is meat is for the environment. According to a new survey, we could reduce CO2 emissions from agriculture by 50% by growing corn and vegetables instead of keeping animals. 212 12.1% 0.1208666
4 Thinks the world needs more food. “Reducing the production of meat in Norway would not be compatible with the goal of increasing world food production,” says the head of the Norwegian Agricultural Cooperatives in Norway. 210 12.0% 0.1197263
5 Women's rights advocates want to extend self-determined abortion to week 22. “We want to transfer power from the committees to women. The committee system is outdated and has played out its role.” 205 11.7% 0.1168757
6 Critical of proposals for self-determined abortion by week 22. The Norwegian Midwifery Federation says that more midwives will opt out if self-determined abortion is extended to week 22. 227 12.9% 0.1294185
7 Had to have a late abortion in week 22. “It's so painful to read comments about me being a child murderer when I lost a much-wanted child,” says Cecilie (31). 231 13.2% 0.1316990
8 Shocked by proposals for self-determined abortion in week 22: 'We gave our baby a name in week 22,” says Ida (32). 215 12.3% 0.1225770
Sysmiss 8406 NA


r24_menewx1b_overskrift2


Variable label: Experiment. Randomly selects a headline for textpiping in the second column in [r24_menewx1b1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Randomly selects article based on randomized subject and journalistic angle]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1754] [Invalid:8406] [Range:1-8]

Value Label Cases Percentage
1 Meat could become more expensive. Environment groups believe that imposing a tax on red meat is one of the cheapest and most effective measures for reducing Norwegian emissions. 208 11.9% 0.1185861
2 “Must be allowed to eat pizza with minced beef on Fridays.” Farmer thinks that Norwegians should be able to eat pizza with beef on Fridays without being shamed for eating meat. 217 12.4% 0.1237172
3 New calculation: this is how bad is meat is for the environment. According to a new survey, we could reduce CO2 emissions from agriculture by 50% by growing corn and vegetables instead of keeping animals. 234 13.3% 0.1334094
4 Thinks the world needs more food. “Reducing the production of meat in Norway would not be compatible with the goal of increasing world food production,” says the head of the Norwegian Agricultural Cooperatives in Norway. 219 12.5% 0.1248575
5 Women's rights advocates want to extend self-determined abortion to week 22. “We want to transfer power from the committees to women. The committee system is outdated and has played out its role.” 225 12.8% 0.1282782
6 Critical of proposals for self-determined abortion by week 22. The Norwegian Midwifery Federation says that more midwives will opt out if self-determined abortion is extended to week 22. 208 11.9% 0.1185861
7 Had to have a late abortion in week 22. “It's so painful to read comments about me being a child murderer when I lost a much-wanted child,” says Cecilie (31). 214 12.2% 0.1220068
8 Shocked by proposals for self-determined abortion in week 22: 'We gave our baby a name in week 22,” says Ida (32). 229 13.1% 0.1305587
Sysmiss 8406 NA


r24_menewx1b_vinkling1


Variable label: Experiment. Randomly selects an angle for the article in the first column in [r24_menewx1b1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1b_vinkling2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1754] [Invalid:8406] [Range:1-2]

Value Label Cases Percentage
1 In favour 873 49.8% 0.4977195
2 Opposed 881 50.2% 0.5022805
Sysmiss 8406 NA


r24_menewx1b_vinkling2


Variable label: Experiment. Randomly selects an angle for the article in the second column in [r24_menewx1b1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1b_vinkling1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1754] [Invalid:8406] [Range:1-2]

Value Label Cases Percentage
1 In favour 881 50.2% 0.5022805
2 Opposed 873 49.8% 0.4977195
Sysmiss 8406 NA


r24_menewx1b_tid1


Variable label: Experiment. Randomly selects time for textpiping in the first column in [r24_menewx1b1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1b_tid2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1754] [Invalid:8406] [Range:1-2]

Value Label Cases Percentage
1 2 minutes ago 856 48.8% 0.4880274
2 5 days ago 898 51.2% 0.5119726
Sysmiss 8406 NA


r24_menewx1b_tid2


Variable label: Experiment. Randomly selects time for textpiping in the second column in [r24_menewx1b1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1b_tid1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1754] [Invalid:8406] [Range:1-2]

Value Label Cases Percentage
1 2 minutes ago 898 51.2% 0.5119726
2 5 days ago 856 48.8% 0.4880274
Sysmiss 8406 NA


r24_menewx1b_populaer1


Variable label: Experiment. Randomly selects popularity for textpiping in the first column in [r24_menewx1b1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1b_populaer2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1754] [Invalid:8406] [Range:1-2]

Value Label Cases Percentage
1 One of the most widely read cases on the front pages right now. 871 49.7% 0.4965792
2 One of the least widely read cases on the front pages right now. 883 50.3% 0.5034208
Sysmiss 8406 NA


r24_menewx1b_populaer2


Variable label: Experiment. Randomly selects popularity for textpiping in the second column in [r24_menewx1b1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1b_populaer1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1754] [Invalid:8406] [Range:1-2]

Value Label Cases Percentage
1 One of the most widely read cases on the front pages right now. 883 50.3% 0.5034208
2 One of the least widely read cases on the front pages right now. 871 49.7% 0.4965792
Sysmiss 8406 NA


r24_menewx1b_perspop1


Variable label: Experiment. Randomly selects whether the article is widely read within the respondents demography or not for textpiping in the first column in [r24_menewx1b1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1b_perspop2]][The respondents gender, age, and region is textpiped into the questiontext]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1754] [Invalid:8406] [Range:1-2]

Value Label Cases Percentage
1 Match: “This article is widely read among [gender] in the [age group] age group living [in Region], and is therefore suggested for people like you.” 847 48.3% 0.4828962
2 No match: “This article is not widely read among [gender] in the [age group] age group living [in Region], and is therefore suggested for people like you.” 907 51.7% 0.5171038
Sysmiss 8406 NA


r24_menewx1b_perspop2


Variable label: Experiment. Randomly selects whether the article is widely read within the respondents demography or not for textpiping in the second column in [r24_menewx1b1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1b_perspop1]][The respondents gender, age, and region is textpiped into the questiontext]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1754] [Invalid:8406] [Range:1-2]

Value Label Cases Percentage
1 Match: “This article is widely read among [gender] in the [age group] age group living [in Region], and is therefore suggested for people like you.” 907 51.7% 0.5171038
2 No match: “This article is not widely read among [gender] in the [age group] age group living [in Region], and is therefore suggested for people like you.” 847 48.3% 0.4828962
Sysmiss 8406 NA


r24_menewx1b_sted1


Variable label: Experiment. Randomly selects place for textpiping in the first column in [r24_menewx1b1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1b_sted2]][If ‘close’ the respondent was shown the name of its home municipality. If ‘distant’ the respondent was shown a randomly selected municipality from a county different from the respondents home county. The municipalities Oslo, Bergen, Stavanger, Trondheim, and Tromsø isn’t selected. Municipalities from Viken will not be selected if the respondent has Oslo as their home municipality.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1754] [Invalid:8406] [Range:1-2]

Value Label Cases Percentage
1 Close 891 50.8% 0.5079818
2 Distant 863 49.2% 0.4920182
Sysmiss 8406 NA


r24_menewx1b_sted2


Variable label: Experiment. Randomly selects place for textpiping in the second column in [r24_menewx1b1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1b_sted1]][If ‘close’ the respondent was shown the name of its home municipality. If ‘distant’ the respondent was shown a randomly selected municipality from a county different from the respondents home county. The municipalities Oslo, Bergen, Stavanger, Trondheim, and Tromsø isn’t selected. Municipalities from Viken will not be selected if the respondent has Oslo as their home municipality.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1754] [Invalid:8406] [Range:1-2]

Value Label Cases Percentage
1 Close 863 49.2% 0.4920182
2 Distant 891 50.8% 0.5079818
Sysmiss 8406 NA


r24_menewx1b_lang1


Variable label: Experiment. Randomly selects length for textpiping in the first column in [r24_menewx1b1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1b_lang2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1754] [Invalid:8406] [Range:1-2]

Value Label Cases Percentage
1 2 minutes 860 49.0% 0.4903079
2 15 minutes 894 51.0% 0.5096921
Sysmiss 8406 NA


r24_menewx1b_lang2


Variable label: Experiment. Randomly selects length for textpiping in the second column in [r24_menewx1b1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1b_lang1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1754] [Invalid:8406] [Range:1-2]

Value Label Cases Percentage
1 2 minutes 894 51.0% 0.5096921
2 15 minutes 860 49.0% 0.4903079
Sysmiss 8406 NA


r24_menewx1b_rangering1


Variable label: Experiment. Selects element for textpiping in the first column in [r24_menewx1b1]. Selection conditional on answers given in [r24_meira]
Technical description: [Set based on rank given in [r24_meira]][The article on meat prices is selected if theme ‘climate change’ is ranked higher than ‘abortion legislation’ in [r24_meira]. The article on abortion legislation is selected if the theme ‘abortion legislation’ is ranked higher than ‘climate change’ in [r24_meira]. If [r24_meira] is unanswered the initial random sorting of [r24_meira] is used.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1754] [Invalid:8406] [Range:1-2]

Value Label Cases Percentage
1 You have previously indicated that you are interested in knowing more about the subject of the article. The article has therefore been suggested to you, based on your ranking of the topic. 876 49.9% 0.4994299
2 You have previously indicated that you are less interested in knowing more about the subject of the article. The article has therefore not been suggested to you, based on your ranking of the topic. 878 50.1% 0.5005701
Sysmiss 8406 NA


r24_menewx1b_rangering2


Variable label: Experiment. Selects element for textpiping in the second column in [r24_menewx1b1]. Selection conditional on answers given in [r24_meira]
Technical description: [Set based on rank given in [r24_meira]][The article on meat prices is selected if theme ‘climate change’ is ranked higher than ‘abortion legislation’ in [r24_meira]. The article on abortion legislation is selected if the theme ‘abortion legislation’ is ranked higher than ‘climate change’ in [r24_meira]. If [r24_meira] is unanswered the initial random sorting of [r24_meira] is used.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1754] [Invalid:8406] [Range:1-2]

Value Label Cases Percentage
1 You have previously indicated that you are interested in knowing more about the subject of the article. The article has therefore been suggested to you, based on your ranking of the topic. 878 50.1% 0.5005701
2 You have previously indicated that you are less interested in knowing more about the subject of the article. The article has therefore not been suggested to you, based on your ranking of the topic. 876 49.9% 0.4994299
Sysmiss 8406 NA


r24_menewx1b1


Variable label: Experiment. Recommendation algorithms effect on news choices.
Pre-question text:

The table below shows the headline of two genuine news stories which have been published in Norwegian online newspapers (e.g. NRK, TV2, VG, and Nettavisen).

Please read all the information in the table and consider the question below.

Story 1

[r24_menewx1b_overskrift1]

[r24_menewx1b_tid1]

[r24_menewx1b_populaer1]

[r24_menewx1b_perspop1]

[r24_menewx1b_sted1]

[r24_menewx1b_tid1]

[r24_menewx1b_rangering1]

Story 2

[r24_menewx1b_overskrift2]

[r24_menewx1b_tid2]

[r24_menewx1b_populaer2]

[r24_menewx1b_perspop2]

[r24_menewx1b_sted2]

[r24_menewx1b_tid2]

[r24_menewx1b_rangering2]
Literal question: Which of these two stories are you most likely to click on to read more?
Technical description:

[Asked if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[The contents of the table was listed in the order set in [r24_menewx1_roworder]][Posed on the same page as [r24_menewx1b2], and [r24_menewx1b3]][The experiment was repeated four times (a, b, c, d)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 News story 1 867 49.2% 0.49205448
2 News story 2 824 46.8% 0.46765040
97 Not answered 71 4.0% 0.04029512
98 Not asked 8398 NA


r24_menewx1b2


Variable label: How likely is it that you would have clicked on Story 1 in order to read more?
Literal question: On a scale of 1 to 5, how likely is it that you would have clicked on Story 1 in order to read more?
Technical description:

[Asked if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Posed on the same page as [r24_menewx1b1], and [r24_menewx1b3]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - Not at all likely 114 6.5% 0.06469921
2 2 - Not very likely 343 19.5% 0.19466515
3 3 - Somewhat likely 605 34.3% 0.34335982
4 4 - Likely 512 29.1% 0.29057889
5 5 - Highly likely 144 8.2% 0.08172531
97 Not answered 44 2.5% 0.02497162
98 Not asked 8398 NA


r24_menewx1b3


Variable label: How likely is it that you would have clicked on Story 2 in order to read more?
Literal question: On a scale of 1 to 5, how likely is it that you would have clicked on Story 2 in order to read more?
Technical description:

[Asked if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Posed on the same page as [r24_menewx1b1], and [r24_menewx1b2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - Not at all likely 118 6.7% 0.06696935
2 2 - Not very likely 392 22.2% 0.22247446
3 3 - Somewhat likely 575 32.6% 0.32633371
4 4 - Likely 477 27.1% 0.27071510
5 5 - Highly likely 156 8.9% 0.08853575
97 Not answered 44 2.5% 0.02497162
98 Not asked 8398 NA


r24_menewx1c_tema1


Variable label: Experiment. Randomly selects a theme for the article in the first column in [r24_menewx1c1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1c_tema2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1747] [Invalid:8413] [Range:1-2]

Value Label Cases Percentage
1 Meat prices 868 49.7% 0.4968517
2 Extension of abortion to 22 weeks 879 50.3% 0.5031483
Sysmiss 8413 NA


r24_menewx1c_tema2


Variable label: Experiment. Randomly selects a theme for the article in the second column in [r24_menewx1c1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1c_tema1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1747] [Invalid:8413] [Range:1-2]

Value Label Cases Percentage
1 Meat prices 879 50.3% 0.5031483
2 Extension of abortion to 22 weeks 868 49.7% 0.4968517
Sysmiss 8413 NA


r24_menewx1c_overskrift1


Variable label: Experiment. Randomly selects a headline for textpiping in the first column in [r24_menewx1c1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Randomly selects article based on randomized subject and journalistic angle]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1747] [Invalid:8413] [Range:1-8]

Value Label Cases Percentage
1 Meat could become more expensive. Environment groups believe that imposing a tax on red meat is one of the cheapest and most effective measures for reducing Norwegian emissions. 223 12.8% 0.1276474
2 “Must be allowed to eat pizza with minced beef on Fridays.” Farmer thinks that Norwegians should be able to eat pizza with beef on Fridays without being shamed for eating meat. 214 12.2% 0.1224957
3 New calculation: this is how bad is meat is for the environment. According to a new survey, we could reduce CO2 emissions from agriculture by 50% by growing corn and vegetables instead of keeping animals. 215 12.3% 0.1230681
4 Thinks the world needs more food. “Reducing the production of meat in Norway would not be compatible with the goal of increasing world food production,” says the head of the Norwegian Agricultural Cooperatives in Norway. 216 12.4% 0.1236405
5 Women's rights advocates want to extend self-determined abortion to week 22. “We want to transfer power from the committees to women. The committee system is outdated and has played out its role.” 209 12.0% 0.1196337
6 Critical of proposals for self-determined abortion by week 22. The Norwegian Midwifery Federation says that more midwives will opt out if self-determined abortion is extended to week 22. 235 13.5% 0.1345163
7 Had to have a late abortion in week 22. “It's so painful to read comments about me being a child murderer when I lost a much-wanted child,” says Cecilie (31). 227 13.0% 0.1299370
8 Shocked by proposals for self-determined abortion in week 22: 'We gave our baby a name in week 22,” says Ida (32). 208 11.9% 0.1190612
Sysmiss 8413 NA


r24_menewx1c_overskrift2


Variable label: Experiment. Randomly selects a headline for textpiping in the second column in [r24_menewx1c1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Randomly selects article based on randomized subject and journalistic angle]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1747] [Invalid:8413] [Range:1-8]

Value Label Cases Percentage
1 Meat could become more expensive. Environment groups believe that imposing a tax on red meat is one of the cheapest and most effective measures for reducing Norwegian emissions. 217 12.4% 0.1242129
2 “Must be allowed to eat pizza with minced beef on Fridays.” Farmer thinks that Norwegians should be able to eat pizza with beef on Fridays without being shamed for eating meat. 215 12.3% 0.1230681
3 New calculation: this is how bad is meat is for the environment. According to a new survey, we could reduce CO2 emissions from agriculture by 50% by growing corn and vegetables instead of keeping animals. 226 12.9% 0.1293646
4 Thinks the world needs more food. “Reducing the production of meat in Norway would not be compatible with the goal of increasing world food production,” says the head of the Norwegian Agricultural Cooperatives in Norway. 221 12.7% 0.1265026
5 Women's rights advocates want to extend self-determined abortion to week 22. “We want to transfer power from the committees to women. The committee system is outdated and has played out its role.” 218 12.5% 0.1247853
6 Critical of proposals for self-determined abortion by week 22. The Norwegian Midwifery Federation says that more midwives will opt out if self-determined abortion is extended to week 22. 216 12.4% 0.1236405
7 Had to have a late abortion in week 22. “It's so painful to read comments about me being a child murderer when I lost a much-wanted child,” says Cecilie (31). 212 12.1% 0.1213509
8 Shocked by proposals for self-determined abortion in week 22: 'We gave our baby a name in week 22,” says Ida (32). 222 12.7% 0.1270750
Sysmiss 8413 NA


r24_menewx1c_vinkling1


Variable label: Experiment. Randomly selects an angle for the article in the first column in [r24_menewx1c1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1c_vinkling2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1747] [Invalid:8413] [Range:1-2]

Value Label Cases Percentage
1 In favour 874 50.0% 0.5002862
2 Opposed 873 50.0% 0.4997138
Sysmiss 8413 NA


r24_menewx1c_vinkling2


Variable label: Experiment. Randomly selects an angle for the article in the second column in [r24_menewx1c1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1c_vinkling1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1747] [Invalid:8413] [Range:1-2]

Value Label Cases Percentage
1 In favour 873 50.0% 0.4997138
2 Opposed 874 50.0% 0.5002862
Sysmiss 8413 NA


r24_menewx1c_tid1


Variable label: Experiment. Randomly selects time for textpiping in the first column in [r24_menewx1c1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1c_tid2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1747] [Invalid:8413] [Range:1-2]

Value Label Cases Percentage
1 2 minutes ago 859 49.2% 0.4917001
2 5 days ago 888 50.8% 0.5082999
Sysmiss 8413 NA


r24_menewx1c_tid2


Variable label: Experiment. Randomly selects time for textpiping in the second column in [r24_menewx1c1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1c_tid1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1747] [Invalid:8413] [Range:1-2]

Value Label Cases Percentage
1 2 minutes ago 888 50.8% 0.5082999
2 5 days ago 859 49.2% 0.4917001
Sysmiss 8413 NA


r24_menewx1c_populaer1


Variable label: Experiment. Randomly selects popularity for textpiping in the first column in [r24_menewx1c1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1c_populaer2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1747] [Invalid:8413] [Range:1-2]

Value Label Cases Percentage
1 One of the most widely read cases on the front pages right now. 880 50.4% 0.5037207
2 One of the least widely read cases on the front pages right now. 867 49.6% 0.4962793
Sysmiss 8413 NA


r24_menewx1c_populaer2


Variable label: Experiment. Randomly selects popularity for textpiping in the second column in [r24_menewx1c1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1c_populaer1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1747] [Invalid:8413] [Range:1-2]

Value Label Cases Percentage
1 One of the most widely read cases on the front pages right now. 867 49.6% 0.4962793
2 One of the least widely read cases on the front pages right now. 880 50.4% 0.5037207
Sysmiss 8413 NA


r24_menewx1c_perspop1


Variable label: Experiment. Randomly selects whether the article is widely read within the respondents demography or not for textpiping in the first column in [r24_menewx1c1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1c_perspop2]][The respondents gender, age, and region is textpiped into the questiontext]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1747] [Invalid:8413] [Range:1-2]

Value Label Cases Percentage
1 Match: “This article is widely read among [gender] in the [age group] age group living [in Region], and is therefore suggested for people like you.” 865 49.5% 0.4951345
2 No match: “This article is not widely read among [gender] in the [age group] age group living [in Region], and is therefore suggested for people like you.” 882 50.5% 0.5048655
Sysmiss 8413 NA


r24_menewx1c_perspop2


Variable label: Experiment. Randomly selects whether the article is widely read within the respondents demography or not for textpiping in the second column in [r24_menewx1c1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1c_perspop1]][The respondents gender, age, and region is textpiped into the questiontext]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1747] [Invalid:8413] [Range:1-2]

Value Label Cases Percentage
1 Match: “This article is widely read among [gender] in the [age group] age group living [in Region], and is therefore suggested for people like you.” 882 50.5% 0.5048655
2 No match: “This article is not widely read among [gender] in the [age group] age group living [in Region], and is therefore suggested for people like you.” 865 49.5% 0.4951345
Sysmiss 8413 NA


r24_menewx1c_sted1


Variable label: Experiment. Randomly selects place for textpiping in the first column in [r24_menewx1c1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1c_sted2]][If ‘close’ the respondent was shown the name of its home municipality. If ‘distant’ the respondent was shown a randomly selected municipality from a county different from the respondents home county. The municipalities Oslo, Bergen, Stavanger, Trondheim, and Tromsø isn’t selected. Municipalities from Viken will not be selected if the respondent has Oslo as their home municipality.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1747] [Invalid:8413] [Range:1-2]

Value Label Cases Percentage
1 Close 901 51.6% 0.5157413
2 Distant 846 48.4% 0.4842587
Sysmiss 8413 NA


r24_menewx1c_sted2


Variable label: Experiment. Randomly selects place for textpiping in the second column in [r24_menewx1c1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1c_sted1]][If ‘close’ the respondent was shown the name of its home municipality. If ‘distant’ the respondent was shown a randomly selected municipality from a county different from the respondents home county. The municipalities Oslo, Bergen, Stavanger, Trondheim, and Tromsø isn’t selected. Municipalities from Viken will not be selected if the respondent has Oslo as their home municipality.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1747] [Invalid:8413] [Range:1-2]

Value Label Cases Percentage
1 Close 846 48.4% 0.4842587
2 Distant 901 51.6% 0.5157413
Sysmiss 8413 NA


r24_menewx1c_lang1


Variable label: Experiment. Randomly selects length for textpiping in the first column in [r24_menewx1c1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1c_lang2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1747] [Invalid:8413] [Range:1-2]

Value Label Cases Percentage
1 2 minutes 873 50.0% 0.4997138
2 15 minutes 874 50.0% 0.5002862
Sysmiss 8413 NA


r24_menewx1c_lang2


Variable label: Experiment. Randomly selects length for textpiping in the second column in [r24_menewx1c1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1c_lang1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1747] [Invalid:8413] [Range:1-2]

Value Label Cases Percentage
1 2 minutes 874 50.0% 0.5002862
2 15 minutes 873 50.0% 0.4997138
Sysmiss 8413 NA


r24_menewx1c_rangering1


Variable label: Experiment. Selects element for textpiping in the first column in [r24_menewx1c1]. Selection conditional on answers given in [r24_meira]
Technical description: [Set based on rank given in [r24_meira]][The article on meat prices is selected if theme ‘climate change’ is ranked higher than ‘abortion legislation’ in [r24_meira]. The article on abortion legislation is selected if the theme ‘abortion legislation’ is ranked higher than ‘climate change’ in [r24_meira]. If [r24_meira] is unanswered the initial random sorting of [r24_meira] is used.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1747] [Invalid:8413] [Range:1-2]

Value Label Cases Percentage
1 You have previously indicated that you are interested in knowing more about the subject of the article. The article has therefore been suggested to you, based on your ranking of the topic. 875 50.1% 0.5008586
2 You have previously indicated that you are less interested in knowing more about the subject of the article. The article has therefore not been suggested to you, based on your ranking of the topic. 872 49.9% 0.4991414
Sysmiss 8413 NA


r24_menewx1c_rangering2


Variable label: Experiment. Selects element for textpiping in the second column in [r24_menewx1c1]. Selection conditional on answers given in [r24_meira]
Technical description: [Set based on rank given in [r24_meira]][The article on meat prices is selected if theme ‘climate change’ is ranked higher than ‘abortion legislation’ in [r24_meira]. The article on abortion legislation is selected if the theme ‘abortion legislation’ is ranked higher than ‘climate change’ in [r24_meira]. If [r24_meira] is unanswered the initial random sorting of [r24_meira] is used.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1747] [Invalid:8413] [Range:1-2]

Value Label Cases Percentage
1 You have previously indicated that you are interested in knowing more about the subject of the article. The article has therefore been suggested to you, based on your ranking of the topic. 872 49.9% 0.4991414
2 You have previously indicated that you are less interested in knowing more about the subject of the article. The article has therefore not been suggested to you, based on your ranking of the topic. 875 50.1% 0.5008586
Sysmiss 8413 NA


r24_menewx1c1


Variable label: Experiment. Recommendation algorithms effect on news choices.
Pre-question text:

The table below shows the headline of two genuine news stories which have been published in Norwegian online newspapers (e.g. NRK, TV2, VG, and Nettavisen).

Please read all the information in the table and consider the question below.

Story 1

[r24_menewx1c_overskrift1]

[r24_menewx1c_tid1]

[r24_menewx1c_populaer1]

[r24_menewx1c_perspop1]

[r24_menewx1c_sted1]

[r24_menewx1c_tid1]

[r24_menewx1c_rangering1]

Story 2

[r24_menewx1c_overskrift2]

[r24_menewx1c_tid2]

[r24_menewx1c_populaer2]

[r24_menewx1c_perspop2]

[r24_menewx1c_sted2]

[r24_menewx1c_tid2]

[r24_menewx1c_rangering2]
Literal question: Which of these two stories are you most likely to click on to read more?
Technical description:

[Asked if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[The contents of the table was listed in the order set in [r24_menewx1_roworder]][Posed on the same page as [r24_menewx1c2], and [r24_menewx1c3]][The experiment was repeated four times (a, b, c, d)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 News story 1 863 49.0% 0.48978434
2 News story 2 798 45.3% 0.45289444
97 Not answered 101 5.7% 0.05732123
98 Not asked 8398 NA


r24_menewx1c2


Variable label: How likely is it that you would have clicked on Story 1 in order to read more?
Literal question: On a scale of 1 to 5, how likely is it that you would have clicked on Story 1 in order to read more?
Technical description:

[Asked if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Posed on the same page as [r24_menewx1c1], and [r24_menewx1c3]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - Not at all likely 108 6.1% 0.06129398
2 2 - Not very likely 344 19.5% 0.19523269
3 3 - Somewhat likely 573 32.5% 0.32519864
4 4 - Likely 505 28.7% 0.28660613
5 5 - Highly likely 155 8.8% 0.08796822
97 Not answered 77 4.4% 0.04370034
98 Not asked 8398 NA


r24_menewx1c3


Variable label: How likely is it that you would have clicked on Story 2 in order to read more?
Literal question: On a scale of 1 to 5, how likely is it that you would have clicked on Story 2 in order to read more?
Technical description:

[Asked if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Posed on the same page as [r24_menewx1c1], and [r24_menewx1c2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - Not at all likely 126 7.2% 0.07150965
2 2 - Not very likely 396 22.5% 0.22474461
3 3 - Somewhat likely 551 31.3% 0.31271283
4 4 - Likely 490 27.8% 0.27809308
5 5 - Highly likely 124 7.0% 0.07037457
97 Not answered 75 4.3% 0.04256527
98 Not asked 8398 NA


r24_menewx1d_tema1


Variable label: Experiment. Randomly selects a theme for the article in the first column in [r24_menewx1d1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1d_tema2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1743] [Invalid:8417] [Range:1-2]

Value Label Cases Percentage
1 Meat prices 847 48.6% 0.4859438
2 Extension of abortion to 22 weeks 896 51.4% 0.5140562
Sysmiss 8417 NA


r24_menewx1d_tema2


Variable label: Experiment. Randomly selects a theme for the article in the second column in [r24_menewx1d1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1d_tema1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1743] [Invalid:8417] [Range:1-2]

Value Label Cases Percentage
1 Meat prices 896 51.4% 0.5140562
2 Extension of abortion to 22 weeks 847 48.6% 0.4859438
Sysmiss 8417 NA


r24_menewx1d_overskrift1


Variable label: Experiment. Randomly selects a headline for textpiping in the first column in [r24_menewx1d1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Randomly selects article based on randomized subject and journalistic angle]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1743] [Invalid:8417] [Range:1-8]

Value Label Cases Percentage
1 Meat could become more expensive. Environment groups believe that imposing a tax on red meat is one of the cheapest and most effective measures for reducing Norwegian emissions. 222 12.7% 0.1273666
2 “Must be allowed to eat pizza with minced beef on Fridays.” Farmer thinks that Norwegians should be able to eat pizza with beef on Fridays without being shamed for eating meat. 196 11.2% 0.1124498
3 New calculation: this is how bad is meat is for the environment. According to a new survey, we could reduce CO2 emissions from agriculture by 50% by growing corn and vegetables instead of keeping animals. 232 13.3% 0.1331038
4 Thinks the world needs more food. “Reducing the production of meat in Norway would not be compatible with the goal of increasing world food production,” says the head of the Norwegian Agricultural Cooperatives in Norway. 197 11.3% 0.1130235
5 Women's rights advocates want to extend self-determined abortion to week 22. “We want to transfer power from the committees to women. The committee system is outdated and has played out its role.” 198 11.4% 0.1135972
6 Critical of proposals for self-determined abortion by week 22. The Norwegian Midwifery Federation says that more midwives will opt out if self-determined abortion is extended to week 22. 266 15.3% 0.1526104
7 Had to have a late abortion in week 22. “It's so painful to read comments about me being a child murderer when I lost a much-wanted child,” says Cecilie (31). 223 12.8% 0.1279403
8 Shocked by proposals for self-determined abortion in week 22: 'We gave our baby a name in week 22,” says Ida (32). 209 12.0% 0.1199082
Sysmiss 8417 NA


r24_menewx1d_overskrift2


Variable label: Experiment. Randomly selects a headline for textpiping in the second column in [r24_menewx1d1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Randomly selects article based on randomized subject and journalistic angle]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1743] [Invalid:8417] [Range:1-8]

Value Label Cases Percentage
1 Meat could become more expensive. Environment groups believe that imposing a tax on red meat is one of the cheapest and most effective measures for reducing Norwegian emissions. 218 12.5% 0.1250717
2 “Must be allowed to eat pizza with minced beef on Fridays.” Farmer thinks that Norwegians should be able to eat pizza with beef on Fridays without being shamed for eating meat. 224 12.9% 0.1285141
3 New calculation: this is how bad is meat is for the environment. According to a new survey, we could reduce CO2 emissions from agriculture by 50% by growing corn and vegetables instead of keeping animals. 257 14.7% 0.1474469
4 Thinks the world needs more food. “Reducing the production of meat in Norway would not be compatible with the goal of increasing world food production,” says the head of the Norwegian Agricultural Cooperatives in Norway. 197 11.3% 0.1130235
5 Women's rights advocates want to extend self-determined abortion to week 22. “We want to transfer power from the committees to women. The committee system is outdated and has played out its role.” 198 11.4% 0.1135972
6 Critical of proposals for self-determined abortion by week 22. The Norwegian Midwifery Federation says that more midwives will opt out if self-determined abortion is extended to week 22. 218 12.5% 0.1250717
7 Had to have a late abortion in week 22. “It's so painful to read comments about me being a child murderer when I lost a much-wanted child,” says Cecilie (31). 195 11.2% 0.1118761
8 Shocked by proposals for self-determined abortion in week 22: 'We gave our baby a name in week 22,” says Ida (32). 236 13.5% 0.1353987
Sysmiss 8417 NA


r24_menewx1d_vinkling1


Variable label: Experiment. Randomly selects an angle for the article in the first column in [r24_menewx1d1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1d_vinkling2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1743] [Invalid:8417] [Range:1-2]

Value Label Cases Percentage
1 In favour 875 50.2% 0.502008
2 Opposed 868 49.8% 0.497992
Sysmiss 8417 NA


r24_menewx1d_vinkling2


Variable label: Experiment. Randomly selects an angle for the article in the second column in [r24_menewx1d1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1d_vinkling1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1743] [Invalid:8417] [Range:1-2]

Value Label Cases Percentage
1 In favour 868 49.8% 0.497992
2 Opposed 875 50.2% 0.502008
Sysmiss 8417 NA


r24_menewx1d_tid1


Variable label: Experiment. Randomly selects time for textpiping in the first column in [r24_menewx1d1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1d_tid2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1743] [Invalid:8417] [Range:1-2]

Value Label Cases Percentage
1 2 minutes ago 896 51.4% 0.5140562
2 5 days ago 847 48.6% 0.4859438
Sysmiss 8417 NA


r24_menewx1d_tid2


Variable label: Experiment. Randomly selects time for textpiping in the second column in [r24_menewx1d1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1d_tid1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1743] [Invalid:8417] [Range:1-2]

Value Label Cases Percentage
1 2 minutes ago 847 48.6% 0.4859438
2 5 days ago 896 51.4% 0.5140562
Sysmiss 8417 NA


r24_menewx1d_populaer1


Variable label: Experiment. Randomly selects popularity for textpiping in the first column in [r24_menewx1d1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1d_populaer2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1743] [Invalid:8417] [Range:1-2]

Value Label Cases Percentage
1 One of the most widely read cases on the front pages right now. 894 51.3% 0.5129088
2 One of the least widely read cases on the front pages right now. 849 48.7% 0.4870912
Sysmiss 8417 NA


r24_menewx1d_populaer2


Variable label: Experiment. Randomly selects popularity for textpiping in the second column in [r24_menewx1d1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1d_populaer1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1743] [Invalid:8417] [Range:1-2]

Value Label Cases Percentage
1 One of the most widely read cases on the front pages right now. 849 48.7% 0.4870912
2 One of the least widely read cases on the front pages right now. 894 51.3% 0.5129088
Sysmiss 8417 NA


r24_menewx1d_perspop1


Variable label: Experiment. Randomly selects whether the article is widely read within the respondents demography or not for textpiping in the first column in [r24_menewx1d1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1d_perspop2]][The respondents gender, age, and region is textpiped into the questiontext]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1743] [Invalid:8417] [Range:1-2]

Value Label Cases Percentage
1 Match: “This article is widely read among [gender] in the [age group] age group living [in Region], and is therefore suggested for people like you.” 854 49.0% 0.4899598
2 No match: “This article is not widely read among [gender] in the [age group] age group living [in Region], and is therefore suggested for people like you.” 889 51.0% 0.5100402
Sysmiss 8417 NA


r24_menewx1d_perspop2


Variable label: Experiment. Randomly selects whether the article is widely read within the respondents demography or not for textpiping in the second column in [r24_menewx1d1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1d_perspop1]][The respondents gender, age, and region is textpiped into the questiontext]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1743] [Invalid:8417] [Range:1-2]

Value Label Cases Percentage
1 Match: “This article is widely read among [gender] in the [age group] age group living [in Region], and is therefore suggested for people like you.” 889 51.0% 0.5100402
2 No match: “This article is not widely read among [gender] in the [age group] age group living [in Region], and is therefore suggested for people like you.” 854 49.0% 0.4899598
Sysmiss 8417 NA


r24_menewx1d_sted1


Variable label: Experiment. Randomly selects place for textpiping in the first column in [r24_menewx1d1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1d_sted2]][If ‘close’ the respondent was shown the name of its home municipality. If ‘distant’ the respondent was shown a randomly selected municipality from a county different from the respondents home county. The municipalities Oslo, Bergen, Stavanger, Trondheim, and Tromsø isn’t selected. Municipalities from Viken will not be selected if the respondent has Oslo as their home municipality.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1743] [Invalid:8417] [Range:1-2]

Value Label Cases Percentage
1 Close 870 49.9% 0.4991394
2 Distant 873 50.1% 0.5008606
Sysmiss 8417 NA


r24_menewx1d_sted2


Variable label: Experiment. Randomly selects place for textpiping in the second column in [r24_menewx1d1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1d_sted1]][If ‘close’ the respondent was shown the name of its home municipality. If ‘distant’ the respondent was shown a randomly selected municipality from a county different from the respondents home county. The municipalities Oslo, Bergen, Stavanger, Trondheim, and Tromsø isn’t selected. Municipalities from Viken will not be selected if the respondent has Oslo as their home municipality.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1743] [Invalid:8417] [Range:1-2]

Value Label Cases Percentage
1 Close 873 50.1% 0.5008606
2 Distant 870 49.9% 0.4991394
Sysmiss 8417 NA


r24_menewx1d_lang1


Variable label: Experiment. Randomly selects length for textpiping in the first column in [r24_menewx1d1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1d_lang2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1743] [Invalid:8417] [Range:1-2]

Value Label Cases Percentage
1 2 minutes 871 50.0% 0.4997131
2 15 minutes 872 50.0% 0.5002869
Sysmiss 8417 NA


r24_menewx1d_lang2


Variable label: Experiment. Randomly selects length for textpiping in the second column in [r24_menewx1d1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Opposite value from [r24_menewx1d_lang1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1743] [Invalid:8417] [Range:1-2]

Value Label Cases Percentage
1 2 minutes 872 50.0% 0.5002869
2 15 minutes 871 50.0% 0.4997131
Sysmiss 8417 NA


r24_menewx1d_rangering1


Variable label: Experiment. Selects element for textpiping in the first column in [r24_menewx1d1]. Selection conditional on answers given in [r24_meira]
Technical description: [Set based on rank given in [r24_meira]][The article on meat prices is selected if theme ‘climate change’ is ranked higher than ‘abortion legislation’ in [r24_meira]. The article on abortion legislation is selected if the theme ‘abortion legislation’ is ranked higher than ‘climate change’ in [r24_meira]. If [r24_meira] is unanswered the initial random sorting of [r24_meira] is used.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1743] [Invalid:8417] [Range:1-2]

Value Label Cases Percentage
1 You have previously indicated that you are interested in knowing more about the subject of the article. The article has therefore been suggested to you, based on your ranking of the topic. 874 50.1% 0.5014343
2 You have previously indicated that you are less interested in knowing more about the subject of the article. The article has therefore not been suggested to you, based on your ranking of the topic. 869 49.9% 0.4985657
Sysmiss 8417 NA


r24_menewx1d_rangering2


Variable label: Experiment. Selects element for textpiping in the second column in [r24_menewx1d1]. Selection conditional on answers given in [r24_meira]
Technical description: [Set based on rank given in [r24_meira]][The article on meat prices is selected if theme ‘climate change’ is ranked higher than ‘abortion legislation’ in [r24_meira]. The article on abortion legislation is selected if the theme ‘abortion legislation’ is ranked higher than ‘climate change’ in [r24_meira]. If [r24_meira] is unanswered the initial random sorting of [r24_meira] is used.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1743] [Invalid:8417] [Range:1-2]

Value Label Cases Percentage
1 You have previously indicated that you are interested in knowing more about the subject of the article. The article has therefore been suggested to you, based on your ranking of the topic. 869 49.9% 0.4985657
2 You have previously indicated that you are less interested in knowing more about the subject of the article. The article has therefore not been suggested to you, based on your ranking of the topic. 874 50.1% 0.5014343
Sysmiss 8417 NA


r24_menewx1d1


Variable label: Experiment. Recommendation algorithms effect on news choices.
Pre-question text:

The table below shows the headline of two genuine news stories which have been published in Norwegian online newspapers (e.g. NRK, TV2, VG, and Nettavisen).

Please read all the information in the table and consider the question below.

Story 1

[r24_menewx1d_overskrift1]

[r24_menewx1d_tid1]

[r24_menewx1d_populaer1]

[r24_menewx1d_perspop1]

[r24_menewx1d_sted1]

[r24_menewx1d_tid1]

[r24_menewx1d_rangering1]

Story 2

[r24_menewx1d_overskrift2]

[r24_menewx1d_tid2]

[r24_menewx1d_populaer2]

[r24_menewx1d_perspop2]

[r24_menewx1d_sted2]

[r24_menewx1d_tid2]

[r24_menewx1d_rangering2]
Literal question: Which of these two stories are you most likely to click on to read more?
Technical description:

[Asked if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[The contents of the table was listed in the order set in [r24_menewx1_roworder]][Posed on the same page as [r24_menewx1d2], and [r24_menewx1d3]][The experiment was repeated four times (a, b, c, d)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 News story 1 867 49.2% 0.49205448
2 News story 2 764 43.4% 0.43359818
97 Not answered 131 7.4% 0.07434733
98 Not asked 8398 NA


r24_menewx1d2


Variable label: How likely is it that you would have clicked on Story 1 in order to read more?
Literal question: On a scale of 1 to 5, how likely is it that you would have clicked on Story 1 in order to read more?
Technical description:

[Asked if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Posed on the same page as [r24_menewx1d1], and [r24_menewx1d3]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - Not at all likely 104 5.9% 0.05902384
2 2 - Not very likely 340 19.3% 0.19296254
3 3 - Somewhat likely 555 31.5% 0.31498297
4 4 - Likely 506 28.7% 0.28717367
5 5 - Highly likely 159 9.0% 0.09023837
97 Not answered 98 5.6% 0.05561862
98 Not asked 8398 NA


r24_menewx1d3


Variable label: How likely is it that you would have clicked on Story 2 in order to read more?
Literal question: On a scale of 1 to 5, how likely is it that you would have clicked on Story 2 in order to read more?
Technical description:

[Asked if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[Posed on the same page as [r24_menewx1d1], and [r24_menewx1d2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - Not at all likely 124 7.0% 0.07037457
2 2 - Not very likely 400 22.7% 0.22701476
3 3 - Somewhat likely 575 32.6% 0.32633371
4 4 - Likely 441 25.0% 0.25028377
5 5 - Highly likely 124 7.0% 0.07037457
97 Not answered 98 5.6% 0.05561862
98 Not asked 8398 NA


r24_menewx2a_tema


Variable label: Experiment. Randomly selects a theme for the article in [r24_menewx2a1]
Technical description: [Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:195] [Invalid:9965] [Range:1-2]

Value Label Cases Percentage
1 Meat prices 116 59.5% 0.5948718
2 Extension of abortion to 22 weeks 79 40.5% 0.4051282
Sysmiss 9965 NA


r24_menewx2a_overskrift1


Variable label: Experiment. Randomly selects a headline for textpiping in the first column in [r24_menewx2a1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Randomly selects article based on randomized subject and journalistic angle]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:195] [Invalid:9965] [Range:1-8]

Value Label Cases Percentage
1 Meat could become more expensive. Environment groups believe that imposing a tax on red meat is one of the cheapest and most effective measures for reducing Norwegian emissions. 18 9.2% 0.09230769
2 “Must be allowed to eat pizza with minced beef on Fridays.” Farmer thinks that Norwegians should be able to eat pizza with beef on Fridays without being shamed for eating meat. 38 19.5% 0.19487179
3 New calculation: this is how bad is meat is for the environment. According to a new survey, we could reduce CO2 emissions from agriculture by 50% by growing corn and vegetables instead of keeping animals. 23 11.8% 0.11794872
4 Thinks the world needs more food. “Reducing the production of meat in Norway would not be compatible with the goal of increasing world food production,” says the head of the Norwegian Agricultural Cooperatives in Norway. 37 19.0% 0.18974359
5 Women's rights advocates want to extend self-determined abortion to week 22. “We want to transfer power from the committees to women. The committee system is outdated and has played out its role.” 18 9.2% 0.09230769
6 Critical of proposals for self-determined abortion by week 22. The Norwegian Midwifery Federation says that more midwives will opt out if self-determined abortion is extended to week 22. 22 11.3% 0.11282051
7 Had to have a late abortion in week 22. “It's so painful to read comments about me being a child murderer when I lost a much-wanted child,” says Cecilie (31). 21 10.8% 0.10769231
8 Shocked by proposals for self-determined abortion in week 22: 'We gave our baby a name in week 22,” says Ida (32). 18 9.2% 0.09230769
Sysmiss 9965 NA


r24_menewx2a_overskrift2


Variable label: Experiment. Randomly selects a headline for textpiping in the second column in [r24_menewx2a1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Randomly selects article based on randomized subject and journalistic angle]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:195] [Invalid:9965] [Range:1-8]

Value Label Cases Percentage
1 Meat could become more expensive. Environment groups believe that imposing a tax on red meat is one of the cheapest and most effective measures for reducing Norwegian emissions. 44 22.6% 0.22564103
2 “Must be allowed to eat pizza with minced beef on Fridays.” Farmer thinks that Norwegians should be able to eat pizza with beef on Fridays without being shamed for eating meat. 21 10.8% 0.10769231
3 New calculation: this is how bad is meat is for the environment. According to a new survey, we could reduce CO2 emissions from agriculture by 50% by growing corn and vegetables instead of keeping animals. 31 15.9% 0.15897436
4 Thinks the world needs more food. “Reducing the production of meat in Norway would not be compatible with the goal of increasing world food production,” says the head of the Norwegian Agricultural Cooperatives in Norway. 20 10.3% 0.10256410
5 Women's rights advocates want to extend self-determined abortion to week 22. “We want to transfer power from the committees to women. The committee system is outdated and has played out its role.” 24 12.3% 0.12307692
6 Critical of proposals for self-determined abortion by week 22. The Norwegian Midwifery Federation says that more midwives will opt out if self-determined abortion is extended to week 22. 21 10.8% 0.10769231
7 Had to have a late abortion in week 22. “It's so painful to read comments about me being a child murderer when I lost a much-wanted child,” says Cecilie (31). 16 8.2% 0.08205128
8 Shocked by proposals for self-determined abortion in week 22: 'We gave our baby a name in week 22,” says Ida (32). 18 9.2% 0.09230769
Sysmiss 9965 NA


r24_menewx2a_vinkling1


Variable label: Experiment. Randomly selects an angle for the article in the first column in [r24_menewx2a1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Opposite value from [r24_menewx2a_vinkling2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:195] [Invalid:9965] [Range:1-2]

Value Label Cases Percentage
1 In favour 80 41.0% 0.4102564
2 Opposed 115 59.0% 0.5897436
Sysmiss 9965 NA


r24_menewx2a_vinkling2


Variable label: Experiment. Randomly selects an angle for the article in the second column in [r24_menewx2a1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Opposite value from [r24_menewx2a_vinkling1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:195] [Invalid:9965] [Range:1-2]

Value Label Cases Percentage
1 In favour 115 59.0% 0.5897436
2 Opposed 80 41.0% 0.4102564
Sysmiss 9965 NA


r24_menewx2a1


Variable label: Experiment. Recommendation algorithms effect on news choices.
Pre-question text:

The table below shows the headline of two genuine news stories which have been published in Norwegian online newspapers (e.g. NRK, TV2, VG, and Nettavisen).

Please read all the information in the table and consider the question below.

Story 1

[r24_menewx2a_overskrift1]

Story 2

[r24_menewx2a_overskrift2]
Literal question: Which of these two stories are you most likely to click on to read more?
Technical description:

[Asked if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Posed on the same page as [r24_menewx2a2], and [r24_menewx2a3]][The experiment was repeated four times (a, b, c, d)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 News story 1 96 49.2% 0.49230769
2 News story 2 94 48.2% 0.48205128
97 Not answered 5 2.6% 0.02564103
98 Not asked 9965 NA


r24_menewx2a2


Variable label: How likely is it that you would have clicked on Story 1 in order to read more?
Literal question: On a scale of 1 to 5, how likely is it that you would have clicked on Story 1 in order to read more?
Technical description:

[Asked if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Posed on the same page as [r24_menewx2a1], and [r24_menewx2a3]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - Not at all likely 15 7.7% 0.07692308
2 2 - Not very likely 42 21.5% 0.21538462
3 3 - Somewhat likely 77 39.5% 0.39487179
4 4 - Likely 42 21.5% 0.21538462
5 5 - Highly likely 16 8.2% 0.08205128
97 Not answered 3 1.5% 0.01538462
98 Not asked 9965 NA


r24_menewx2a3


Variable label: How likely is it that you would have clicked on Story 2 in order to read more?
Literal question: On a scale of 1 to 5, how likely is it that you would have clicked on Story 2 in order to read more?
Technical description:

[Asked if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Posed on the same page as [r24_menewx2a1], and [r24_menewx2a3]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - Not at all likely 16 8.2% 0.08205128
2 2 - Not very likely 38 19.5% 0.19487179
3 3 - Somewhat likely 65 33.3% 0.33333333
4 4 - Likely 56 28.7% 0.28717949
5 5 - Highly likely 17 8.7% 0.08717949
97 Not answered 3 1.5% 0.01538462
98 Not asked 9965 NA


r24_menewx2b_tema


Variable label: Experiment. Randomly selects a theme for the article in [r24_menewx2b1]
Technical description: [Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:195] [Invalid:9965] [Range:1-2]

Value Label Cases Percentage
1 Meat prices 93 47.7% 0.4769231
2 Extension of abortion to 22 weeks 102 52.3% 0.5230769
Sysmiss 9965 NA


r24_menewx2b_overskrift1


Variable label: Experiment. Randomly selects a headline for textpiping in the first column in [r24_menewx2b1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Randomly selects article based on randomized subject and journalistic angle]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:195] [Invalid:9965] [Range:1-8]

Value Label Cases Percentage
1 Meat could become more expensive. Environment groups believe that imposing a tax on red meat is one of the cheapest and most effective measures for reducing Norwegian emissions. 32 16.4% 0.16410256
2 “Must be allowed to eat pizza with minced beef on Fridays.” Farmer thinks that Norwegians should be able to eat pizza with beef on Fridays without being shamed for eating meat. 22 11.3% 0.11282051
3 New calculation: this is how bad is meat is for the environment. According to a new survey, we could reduce CO2 emissions from agriculture by 50% by growing corn and vegetables instead of keeping animals. 21 10.8% 0.10769231
4 Thinks the world needs more food. “Reducing the production of meat in Norway would not be compatible with the goal of increasing world food production,” says the head of the Norwegian Agricultural Cooperatives in Norway. 18 9.2% 0.09230769
5 Women's rights advocates want to extend self-determined abortion to week 22. “We want to transfer power from the committees to women. The committee system is outdated and has played out its role.” 25 12.8% 0.12820513
6 Critical of proposals for self-determined abortion by week 22. The Norwegian Midwifery Federation says that more midwives will opt out if self-determined abortion is extended to week 22. 23 11.8% 0.11794872
7 Had to have a late abortion in week 22. “It's so painful to read comments about me being a child murderer when I lost a much-wanted child,” says Cecilie (31). 27 13.8% 0.13846154
8 Shocked by proposals for self-determined abortion in week 22: 'We gave our baby a name in week 22,” says Ida (32). 27 13.8% 0.13846154
Sysmiss 9965 NA


r24_menewx2b_overskrift2


Variable label: Experiment. Randomly selects a headline for textpiping in the second column in [r24_menewx2b1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Randomly selects article based on randomized subject and journalistic angle]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:195] [Invalid:9965] [Range:1-8]

Value Label Cases Percentage
1 Meat could become more expensive. Environment groups believe that imposing a tax on red meat is one of the cheapest and most effective measures for reducing Norwegian emissions. 15 7.7% 0.07692308
2 “Must be allowed to eat pizza with minced beef on Fridays.” Farmer thinks that Norwegians should be able to eat pizza with beef on Fridays without being shamed for eating meat. 35 17.9% 0.17948718
3 New calculation: this is how bad is meat is for the environment. According to a new survey, we could reduce CO2 emissions from agriculture by 50% by growing corn and vegetables instead of keeping animals. 25 12.8% 0.12820513
4 Thinks the world needs more food. “Reducing the production of meat in Norway would not be compatible with the goal of increasing world food production,” says the head of the Norwegian Agricultural Cooperatives in Norway. 18 9.2% 0.09230769
5 Women's rights advocates want to extend self-determined abortion to week 22. “We want to transfer power from the committees to women. The committee system is outdated and has played out its role.” 38 19.5% 0.19487179
6 Critical of proposals for self-determined abortion by week 22. The Norwegian Midwifery Federation says that more midwives will opt out if self-determined abortion is extended to week 22. 30 15.4% 0.15384615
7 Had to have a late abortion in week 22. “It's so painful to read comments about me being a child murderer when I lost a much-wanted child,” says Cecilie (31). 12 6.2% 0.06153846
8 Shocked by proposals for self-determined abortion in week 22: 'We gave our baby a name in week 22,” says Ida (32). 22 11.3% 0.11282051
Sysmiss 9965 NA


r24_menewx2b_vinkling1


Variable label: Experiment. Randomly selects an angle for the article in the first column in [r24_menewx2b1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Opposite value from [r24_menewx2b_vinkling2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:195] [Invalid:9965] [Range:1-2]

Value Label Cases Percentage
1 In favour 105 53.8% 0.5384615
2 Opposed 90 46.2% 0.4615385
Sysmiss 9965 NA


r24_menewx2b_vinkling2


Variable label: Experiment. Randomly selects an angle for the article in the second column in [r24_menewx2b1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Opposite value from [r24_menewx2b_vinkling1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:195] [Invalid:9965] [Range:1-2]

Value Label Cases Percentage
1 In favour 90 46.2% 0.4615385
2 Opposed 105 53.8% 0.5384615
Sysmiss 9965 NA


r24_menewx2b1


Variable label: Experiment. Recommendation algorithms effect on news choices.
Pre-question text:

The table below shows the headline of two genuine news stories which have been published in Norwegian online newspapers (e.g. NRK, TV2, VG, and Nettavisen).

Please read all the information in the table and consider the question below.

Story 1

[r24_menewx2b_overskrift1]

Story 2

[r24_menewx2b_overskrift2]
Literal question: Which of these two stories are you most likely to click on to read more?
Technical description:

[Asked if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Posed on the same page as [r24_menewx2b2], and [r24_menewx2b3]][The experiment was repeated four times (a, b, c, d)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 News story 1 90 46.2% 0.46153846
2 News story 2 96 49.2% 0.49230769
97 Not answered 9 4.6% 0.04615385
98 Not asked 9965 NA


r24_menewx2b2


Variable label: How likely is it that you would have clicked on Story 1 in order to read more?
Literal question: On a scale of 1 to 5, how likely is it that you would have clicked on Story 1 in order to read more?
Technical description:

[Asked if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Posed on the same page as [r24_menewx2b1], and [r24_menewx2b3]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - Not at all likely 17 8.7% 0.08717949
2 2 - Not very likely 39 20.0% 0.20000000
3 3 - Somewhat likely 69 35.4% 0.35384615
4 4 - Likely 47 24.1% 0.24102564
5 5 - Highly likely 19 9.7% 0.09743590
97 Not answered 4 2.1% 0.02051282
98 Not asked 9965 NA


r24_menewx2b3


Variable label: How likely is it that you would have clicked on Story 2 in order to read more?
Literal question: On a scale of 1 to 5, how likely is it that you would have clicked on Story 2 in order to read more?
Technical description:

[Asked if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Posed on the same page as [r24_menewx2b1], and [r24_menewx2b3]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - Not at all likely 20 10.3% 0.10256410
2 2 - Not very likely 41 21.0% 0.21025641
3 3 - Somewhat likely 61 31.3% 0.31282051
4 4 - Likely 55 28.2% 0.28205128
5 5 - Highly likely 13 6.7% 0.06666667
97 Not answered 5 2.6% 0.02564103
98 Not asked 9965 NA


r24_menewx2c_tema


Variable label: Experiment. Randomly selects a theme for the article in [r24_menewx2c1]
Technical description: [Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:195] [Invalid:9965] [Range:1-2]

Value Label Cases Percentage
1 Meat prices 92 47.2% 0.4717949
2 Extension of abortion to 22 weeks 103 52.8% 0.5282051
Sysmiss 9965 NA


r24_menewx2c_overskrift1


Variable label: Experiment. Randomly selects a headline for textpiping in the first column in [r24_menewx2c1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Randomly selects article based on randomized subject and journalistic angle]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:195] [Invalid:9965] [Range:1-8]

Value Label Cases Percentage
1 Meat could become more expensive. Environment groups believe that imposing a tax on red meat is one of the cheapest and most effective measures for reducing Norwegian emissions. 27 13.8% 0.1384615
2 “Must be allowed to eat pizza with minced beef on Fridays.” Farmer thinks that Norwegians should be able to eat pizza with beef on Fridays without being shamed for eating meat. 19 9.7% 0.0974359
3 New calculation: this is how bad is meat is for the environment. According to a new survey, we could reduce CO2 emissions from agriculture by 50% by growing corn and vegetables instead of keeping animals. 21 10.8% 0.1076923
4 Thinks the world needs more food. “Reducing the production of meat in Norway would not be compatible with the goal of increasing world food production,” says the head of the Norwegian Agricultural Cooperatives in Norway. 25 12.8% 0.1282051
5 Women's rights advocates want to extend self-determined abortion to week 22. “We want to transfer power from the committees to women. The committee system is outdated and has played out its role.” 22 11.3% 0.1128205
6 Critical of proposals for self-determined abortion by week 22. The Norwegian Midwifery Federation says that more midwives will opt out if self-determined abortion is extended to week 22. 23 11.8% 0.1179487
7 Had to have a late abortion in week 22. “It's so painful to read comments about me being a child murderer when I lost a much-wanted child,” says Cecilie (31). 21 10.8% 0.1076923
8 Shocked by proposals for self-determined abortion in week 22: 'We gave our baby a name in week 22,” says Ida (32). 37 19.0% 0.1897436
Sysmiss 9965 NA


r24_menewx2c_overskrift2


Variable label: Experiment. Randomly selects a headline for textpiping in the second column in [r24_menewx2c1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Randomly selects article based on randomized subject and journalistic angle]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:195] [Invalid:9965] [Range:1-8]

Value Label Cases Percentage
1 Meat could become more expensive. Environment groups believe that imposing a tax on red meat is one of the cheapest and most effective measures for reducing Norwegian emissions. 28 14.4% 0.14358974
2 “Must be allowed to eat pizza with minced beef on Fridays.” Farmer thinks that Norwegians should be able to eat pizza with beef on Fridays without being shamed for eating meat. 19 9.7% 0.09743590
3 New calculation: this is how bad is meat is for the environment. According to a new survey, we could reduce CO2 emissions from agriculture by 50% by growing corn and vegetables instead of keeping animals. 16 8.2% 0.08205128
4 Thinks the world needs more food. “Reducing the production of meat in Norway would not be compatible with the goal of increasing world food production,” says the head of the Norwegian Agricultural Cooperatives in Norway. 29 14.9% 0.14871795
5 Women's rights advocates want to extend self-determined abortion to week 22. “We want to transfer power from the committees to women. The committee system is outdated and has played out its role.” 34 17.4% 0.17435897
6 Critical of proposals for self-determined abortion by week 22. The Norwegian Midwifery Federation says that more midwives will opt out if self-determined abortion is extended to week 22. 20 10.3% 0.10256410
7 Had to have a late abortion in week 22. “It's so painful to read comments about me being a child murderer when I lost a much-wanted child,” says Cecilie (31). 26 13.3% 0.13333333
8 Shocked by proposals for self-determined abortion in week 22: 'We gave our baby a name in week 22,” says Ida (32). 23 11.8% 0.11794872
Sysmiss 9965 NA


r24_menewx2c_vinkling1


Variable label: Experiment. Randomly selects an angle for the article in the first column in [r24_menewx2c1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Opposite value from [r24_menewx2c_vinkling2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:195] [Invalid:9965] [Range:1-2]

Value Label Cases Percentage
1 In favour 91 46.7% 0.4666667
2 Opposed 104 53.3% 0.5333333
Sysmiss 9965 NA


r24_menewx2c_vinkling2


Variable label: Experiment. Randomly selects an angle for the article in the second column in [r24_menewx2c1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Opposite value from [r24_menewx2c_vinkling1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:195] [Invalid:9965] [Range:1-2]

Value Label Cases Percentage
1 In favour 104 53.3% 0.5333333
2 Opposed 91 46.7% 0.4666667
Sysmiss 9965 NA


r24_menewx2c1


Variable label: Experiment. Recommendation algorithms effect on news choices.
Pre-question text:

The table below shows the headline of two genuine news stories which have been published in Norwegian online newspapers (e.g. NRK, TV2, VG, and Nettavisen).

Please read all the information in the table and consider the question below.

Story 1

[r24_menewx2c_overskrift1]

Story 2

[r24_menewx2c_overskrift2]
Literal question: Which of these two stories are you most likely to click on to read more?
Technical description:

[Asked if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Posed on the same page as [r24_menewx2c2], and [r24_menewx2c3]][The experiment was repeated four times (a, b, c, d)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 News story 1 90 46.2% 0.46153846
2 News story 2 93 47.7% 0.47692308
97 Not answered 12 6.2% 0.06153846
98 Not asked 9965 NA


r24_menewx2c2


Variable label: How likely is it that you would have clicked on Story 1 in order to read more?
Literal question: On a scale of 1 to 5, how likely is it that you would have clicked on Story 1 in order to read more?
Technical description:

[Asked if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Posed on the same page as [r24_menewx2c1], and [r24_menewx2c3]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - Not at all likely 13 6.7% 0.06666667
2 2 - Not very likely 39 20.0% 0.20000000
3 3 - Somewhat likely 68 34.9% 0.34871795
4 4 - Likely 47 24.1% 0.24102564
5 5 - Highly likely 20 10.3% 0.10256410
97 Not answered 8 4.1% 0.04102564
98 Not asked 9965 NA


r24_menewx2c3


Variable label: How likely is it that you would have clicked on Story 2 in order to read more?
Literal question: On a scale of 1 to 5, how likely is it that you would have clicked on Story 2 in order to read more?
Technical description:

[Asked if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Posed on the same page as [r24_menewx2c1], and [r24_menewx2c3]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - Not at all likely 20 10.3% 0.10256410
2 2 - Not very likely 37 19.0% 0.18974359
3 3 - Somewhat likely 65 33.3% 0.33333333
4 4 - Likely 48 24.6% 0.24615385
5 5 - Highly likely 17 8.7% 0.08717949
97 Not answered 8 4.1% 0.04102564
98 Not asked 9965 NA


r24_menewx2d_tema


Variable label: Experiment. Randomly selects a theme for the article in [r24_menewx2d1]
Technical description: [Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:195] [Invalid:9965] [Range:1-2]

Value Label Cases Percentage
1 Meat prices 111 56.9% 0.5692308
2 Extension of abortion to 22 weeks 84 43.1% 0.4307692
Sysmiss 9965 NA


r24_menewx2d_overskrift1


Variable label: Experiment. Randomly selects a headline for textpiping in the first column in [r24_menewx2d1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Randomly selects article based on randomized subject and journalistic angle]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:195] [Invalid:9965] [Range:1-8]

Value Label Cases Percentage
1 Meat could become more expensive. Environment groups believe that imposing a tax on red meat is one of the cheapest and most effective measures for reducing Norwegian emissions. 27 13.8% 0.13846154
2 “Must be allowed to eat pizza with minced beef on Fridays.” Farmer thinks that Norwegians should be able to eat pizza with beef on Fridays without being shamed for eating meat. 29 14.9% 0.14871795
3 New calculation: this is how bad is meat is for the environment. According to a new survey, we could reduce CO2 emissions from agriculture by 50% by growing corn and vegetables instead of keeping animals. 28 14.4% 0.14358974
4 Thinks the world needs more food. “Reducing the production of meat in Norway would not be compatible with the goal of increasing world food production,” says the head of the Norwegian Agricultural Cooperatives in Norway. 27 13.8% 0.13846154
5 Women's rights advocates want to extend self-determined abortion to week 22. “We want to transfer power from the committees to women. The committee system is outdated and has played out its role.” 23 11.8% 0.11794872
6 Critical of proposals for self-determined abortion by week 22. The Norwegian Midwifery Federation says that more midwives will opt out if self-determined abortion is extended to week 22. 14 7.2% 0.07179487
7 Had to have a late abortion in week 22. “It's so painful to read comments about me being a child murderer when I lost a much-wanted child,” says Cecilie (31). 18 9.2% 0.09230769
8 Shocked by proposals for self-determined abortion in week 22: 'We gave our baby a name in week 22,” says Ida (32). 29 14.9% 0.14871795
Sysmiss 9965 NA


r24_menewx2d_overskrift2


Variable label: Experiment. Randomly selects a headline for textpiping in the second column in [r24_menewx2d1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Randomly selects article based on randomized subject and journalistic angle]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:195] [Invalid:9965] [Range:1-8]

Value Label Cases Percentage
1 Meat could become more expensive. Environment groups believe that imposing a tax on red meat is one of the cheapest and most effective measures for reducing Norwegian emissions. 28 14.4% 0.14358974
2 “Must be allowed to eat pizza with minced beef on Fridays.” Farmer thinks that Norwegians should be able to eat pizza with beef on Fridays without being shamed for eating meat. 30 15.4% 0.15384615
3 New calculation: this is how bad is meat is for the environment. According to a new survey, we could reduce CO2 emissions from agriculture by 50% by growing corn and vegetables instead of keeping animals. 28 14.4% 0.14358974
4 Thinks the world needs more food. “Reducing the production of meat in Norway would not be compatible with the goal of increasing world food production,” says the head of the Norwegian Agricultural Cooperatives in Norway. 25 12.8% 0.12820513
5 Women's rights advocates want to extend self-determined abortion to week 22. “We want to transfer power from the committees to women. The committee system is outdated and has played out its role.” 23 11.8% 0.11794872
6 Critical of proposals for self-determined abortion by week 22. The Norwegian Midwifery Federation says that more midwives will opt out if self-determined abortion is extended to week 22. 16 8.2% 0.08205128
7 Had to have a late abortion in week 22. “It's so painful to read comments about me being a child murderer when I lost a much-wanted child,” says Cecilie (31). 20 10.3% 0.10256410
8 Shocked by proposals for self-determined abortion in week 22: 'We gave our baby a name in week 22,” says Ida (32). 25 12.8% 0.12820513
Sysmiss 9965 NA


r24_menewx2d_vinkling1


Variable label: Experiment. Randomly selects an angle for the article in the first column in [r24_menewx2d1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Opposite value from [r24_menewx2d_vinkling2]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:195] [Invalid:9965] [Range:1-2]

Value Label Cases Percentage
1 In favour 96 49.2% 0.4923077
2 Opposed 99 50.8% 0.5076923
Sysmiss 9965 NA


r24_menewx2d_vinkling2


Variable label: Experiment. Randomly selects an angle for the article in the second column in [r24_menewx2d1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Opposite value from [r24_menewx2d_vinkling1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:195] [Invalid:9965] [Range:1-2]

Value Label Cases Percentage
1 In favour 99 50.8% 0.5076923
2 Opposed 96 49.2% 0.4923077
Sysmiss 9965 NA


r24_menewx2d1


Variable label: Experiment. Recommendation algorithms effect on news choices.
Pre-question text:

The table below shows the headline of two genuine news stories which have been published in Norwegian online newspapers (e.g. NRK, TV2, VG, and Nettavisen).

Please read all the information in the table and consider the question below.

Story 1

[r24_menewx2d_overskrift1]

Story 2

[r24_menewx2d_overskrift2]
Literal question: Which of these two stories are you most likely to click on to read more?
Technical description:

[Asked if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Posed on the same page as [r24_menewx2d2], and [r24_menewx2d3]][The experiment was repeated four times (a, b, c, d)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 News story 1 92 47.2% 0.47179487
2 News story 2 89 45.6% 0.45641026
97 Not answered 14 7.2% 0.07179487
98 Not asked 9965 NA


r24_menewx2d2


Variable label: How likely is it that you would have clicked on Story 1 in order to read more?
Literal question: On a scale of 1 to 5, how likely is it that you would have clicked on Story 1 in order to read more?
Technical description:

[Asked if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Posed on the same page as [r24_menewx2d1], and [r24_menewx2d3]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - Not at all likely 17 8.7% 0.08717949
2 2 - Not very likely 37 19.0% 0.18974359
3 3 - Somewhat likely 58 29.7% 0.29743590
4 4 - Likely 58 29.7% 0.29743590
5 5 - Highly likely 13 6.7% 0.06666667
97 Not answered 12 6.2% 0.06153846
98 Not asked 9965 NA


r24_menewx2d3


Variable label: How likely is it that you would have clicked on Story 2 in order to read more?
Literal question: On a scale of 1 to 5, how likely is it that you would have clicked on Story 2 in order to read more?
Technical description:

[Asked if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 2]

[Posed on the same page as [r24_menewx2d1], and [r24_menewx2d3]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - Not at all likely 14 7.2% 0.07179487
2 2 - Not very likely 44 22.6% 0.22564103
3 3 - Somewhat likely 60 30.8% 0.30769231
4 4 - Likely 53 27.2% 0.27179487
5 5 - Highly likely 12 6.2% 0.06153846
97 Not answered 12 6.2% 0.06153846
98 Not asked 9965 NA


r24_menewx1_roworder


Variable label: Experiment. Shows the random order of the attributes shown in the table for [r24_menewx1a1], [r24_menewx1b1], [r24_menewx1c1], and [r24_menewx1d1]
Technical description:

[Randomized if (r24_group = 3 and if the background variables are not empty) & r24_menewx_rangroup = 1]

[“Headline of the article” (1) always appears on top.

2 = “The article was published:”;

3 = “The general popularity of the article:”;

4 = “The popularity of the article among people like you:”;

5 = “The article mentions the following place:”;

6 = “How long it takes to read the entire article:”;

7 = “Your ranking of the topic:”]
Technical attributes: [Question type:Open] [Format:character] [Valid:1762] [Invalid:8398] [Range:-]



r24_dvlcix_ran1


Variable label: Experiment. Randomly selects a value for textpiping in [r24_dvlcix]
Technical description: [Randomized if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2066] [Invalid:8094] [Range:1-2]

Value Label Cases Percentage
1 working people 1029 49.8% 0.4980639
2 migrant workers 1037 50.2% 0.5019361
Sysmiss 8094 NA


r24_dvlcix_ran2


Variable label: Experiment. Randomly selects a value for textpiping in [r24_dvlcix]
Technical description: [Randomized if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2066] [Invalid:8094] [Range:1-2]

Value Label Cases Percentage
1 full compensation 1048 50.7% 0.5072604
2 Social Security 1018 49.3% 0.4927396
Sysmiss 8094 NA


r24_dvlcix


Variable label: Agree/disagree: [r24_dvlcix_ran1] should get [r24_dvlcix_ran2] as long as the long-term effects of the coronavirus prevent them from working as usual.
Pre-question text: Some [r24_dvlcix_ran1] who caught Covid at work during the pandemic have suffered long-term health problems, called “long Covid” in English. This illness means that they are unable to continue working as usual. For most people, this means a significant loss of income. 
Literal question: To what extent do you agree or disagree that they should get [r24_dvlcix_ran2] as long as the long-term effects of the coronavirus prevent them from working as usual?
Technical description: [Asked if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 396 19.0% 0.190293128
2 Agree 745 35.8% 0.358000961
3 Agree somewhat 394 18.9% 0.189332052
4 Neither agree nor disagree 265 12.7% 0.127342624
5 Disagree somewhat 134 6.4% 0.064392119
6 Disagree 85 4.1% 0.040845747
7 Strongly disagree 42 2.0% 0.020182605
97 Not answered 20 1.0% 0.009610764
98 Not asked 8079 NA


r24_dvlcsx_ran1


Variable label: Experiment. Randomly selects a value for textpiping in [r24_dvlcsx]
Technical description: [Randomized if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2065] [Invalid:8095] [Range:1-3]

Value Label Cases Percentage
1 working people 676 32.7% 0.3273608
2 working people with immigrant backgrounds 692 33.5% 0.3351090
3 immigrants 697 33.8% 0.3375303
Sysmiss 8095 NA


r24_dvlcsx_ran2


Variable label: Experiment. Randomly selects a value for textpiping in [r24_dvlcsx]
Technical description: [Randomized if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2065] [Invalid:8095] [Range:1-3]

Value Label Cases Percentage
1 [Blank] 685 33.2% 0.3317191
2 even if they are not Norwegian citizens 693 33.6% 0.3355932
3 even if they did not have all the proper paperwork when they became ill 687 33.3% 0.3326877
Sysmiss 8095 NA


r24_dvlcsx


Variable label: Agree/disagree: Norwegian taxpayers should fund financial support schemes for these working people until they are able to work full time again[r24_dvlcsx_ran2]?
Pre-question text: During the pandemic, some [r24_dvlcsx_ran1] were more susceptible to contagion than others, such as bus drivers, kindergarten employees and health professionals. Some of them became ill and are unable to work full time today due to the long-term effects of Covid.
Literal question: To what extent do you agree or disagree that Norwegian taxpayers should fund financial support schemes for these working people until they are able to work full time again[r24_dvlcsx_ran2]?
Technical description: [Asked if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 399 19.2% 0.19173474
2 Agree 727 34.9% 0.34935127
3 Agree somewhat 418 20.1% 0.20086497
4 Neither agree nor disagree 243 11.7% 0.11677078
5 Disagree somewhat 118 5.7% 0.05670351
6 Disagree 87 4.2% 0.04180682
7 Strongly disagree 64 3.1% 0.03075444
97 Not answered 25 1.2% 0.01201346
98 Not asked 8079 NA


r24_dvrdgx_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r24_dvrdgx]
Technical description: [Randomized if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2065] [Invalid:8095] [Range:1-6]

Value Label Cases Percentage
1 Islamic beliefs and traditions 344 16.7% 0.1665860
2 conservative Islamic beliefs and traditions 356 17.2% 0.1723971
3 conservative beliefs and traditions 336 16.3% 0.1627119
4 conservative Christian beliefs and traditions 362 17.5% 0.1753027
5 conservative ideas in Islamic beliefs and traditions that emphasise the differences between boys and girls 314 15.2% 0.1520581
6 conservative ideas in Christian beliefs and traditions that emphasise the differences between boys and girls 353 17.1% 0.1709443
Sysmiss 8095 NA


r24_dvrdgx


Variable label: Agree/disagree: Parents in Norway who want to raise their children in line with [r24_dvrdgx_ran] should be respected.
Pre-question text: To what extent do you agree or disagree with the following statement?
Literal question: Parents in Norway who want to raise their children in line with [r24_dvrdgx_ran] should be respected.
Technical description: [Asked if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 87 4.2% 0.041806824
2 Agree 309 14.8% 0.148486305
3 Agree somewhat 359 17.3% 0.172513215
4 Neither agree nor disagree 310 14.9% 0.148966843
5 Disagree somewhat 336 16.1% 0.161460836
6 Disagree 330 15.9% 0.158577607
7 Strongly disagree 330 15.9% 0.158577607
97 Not answered 20 1.0% 0.009610764
98 Not asked 8079 NA


r24_dvshax_ran1


Variable label: Experiment. Randomly selects an element for textpiping in [r24_dvshax]
Technical description: [Randomized if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2065] [Invalid:8095] [Range:1-2]

Value Label Cases Percentage
1 Muslim women, however, refused to shake hands with politicians who were men 1020 49.4% 0.4939467
2 Muslim men, however, refused to shake hands with politicians who were women 1045 50.6% 0.5060533
Sysmiss 8095 NA


r24_dvshax_ran2


Variable label: Experiment. Randomly selects an element for textpiping in [r24_dvshax]
Technical description: [Randomized if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2065] [Invalid:8095] [Range:1-2]

Value Label Cases Percentage
1 [Blank] 1063 51.5% 0.51477
2 Instead, they placed their hand on their heart to say hello. 1002 48.5% 0.48523
Sysmiss 8095 NA


r24_dvshax


Variable label: Agree/disagree: local politicians requested that all the attendees should shake hands the next time.
Pre-question text: The next question is about how people greet each other. When you respond, please ignore the fact that we have a pandemic requiring infection control measures. Some local politicians were invited by a local Muslim community centre to the annual spring festival. On attendance, local politicians put out their hands to greet the hosts. [r24_dvshax_ran1]. [r24_dvshax_ran1] After the meeting, some of the attendees expressed discomfort about the situation and requested that all the attendees should shake hands the next time.
Literal question: To what extent are you for or against local politicians presenting such a proposal?
Technical description: [Asked if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Completely in favour 554 26.6% 0.26621816
2 Slightly support 474 22.8% 0.22777511
3 Slightly oppose 489 23.5% 0.23498318
4 Completely opposed 527 25.3% 0.25324363
97 Not answered 37 1.8% 0.01777991
98 Not asked 8079 NA


r24_dvimc_1


Variable label: Descriptions apply to you: It is important for me personally to be unprejudiced in regard to immigrants
Pre-question text: How well or poorly would you say that the following descriptions apply to you:
Literal question: It is important for me personally to be unprejudiced in regard to immigrants
Technical description:

[Asked if r24_group = 4]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very well 449 21.6% 0.21576165
2 Good 802 38.5% 0.38539164
3 Somewhat well 332 16.0% 0.15953868
4 Neither well nor poorly 342 16.4% 0.16434407
5 Somewhat poorly 55 2.6% 0.02642960
6 Poorly 36 1.7% 0.01729938
7 Very poorly 21 1.0% 0.01009130
97 Not answered 44 2.1% 0.02114368
98 Not asked 8079 NA


r24_dvimc_2


Variable label: Descriptions apply to you: I do not want to appear to be racist, not even to myself
Pre-question text: How well or poorly would you say that the following descriptions apply to you:
Literal question: I do not want to appear to be racist, not even to myself
Technical description:

[Asked if r24_group = 4]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very well 537 25.8% 0.25804901
2 Good 689 33.1% 0.33109082
3 Somewhat well 270 13.0% 0.12974531
4 Neither well nor poorly 392 18.8% 0.18837098
5 Somewhat poorly 57 2.7% 0.02739068
6 Poorly 48 2.3% 0.02306583
7 Very poorly 33 1.6% 0.01585776
97 Not answered 55 2.6% 0.02642960
98 Not asked 8079 NA


r24_dvimc_3


Variable label: Descriptions apply to you: I feel guilty if I think negatively about immigrants
Pre-question text: How well or poorly would you say that the following descriptions apply to you:
Literal question: I feel guilty if I think negatively about immigrants
Technical description:

[Asked if r24_group = 4]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very well 168 8.1% 0.08073042
2 Good 359 17.3% 0.17251321
3 Somewhat well 302 14.5% 0.14512254
4 Neither well nor poorly 708 34.0% 0.34022105
5 Somewhat poorly 160 7.7% 0.07688611
6 Poorly 208 10.0% 0.09995195
7 Very poorly 118 5.7% 0.05670351
97 Not answered 58 2.8% 0.02787122
98 Not asked 8079 NA


r24_dvimc_4


Variable label: Descriptions apply to you: I try to be unprejudiced in regard to immigrants due to my own convictions.
Pre-question text: How well or poorly would you say that the following descriptions apply to you:
Literal question: I try to be unprejudiced in regard to immigrants due to my own convictions.
Technical description:

[Asked if r24_group = 4]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very well 433 20.8% 0.208073042
2 Good 782 37.6% 0.375780875
3 Somewhat well 343 16.5% 0.164824604
4 Neither well nor poorly 365 17.5% 0.175396444
5 Somewhat poorly 50 2.4% 0.024026910
6 Poorly 37 1.8% 0.017779914
7 Very poorly 19 0.9% 0.009130226
97 Not answered 52 2.5% 0.024987987
98 Not asked 8079 NA


r24_dvtra1


Variable label: Which statement is closest to your own opinion — even if none of them are quite correct?
Literal question: Which statement is closest to your own opinion — even if none of them are quite correct?
Technical description: [Asked if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 To understand the world, we need to free ourselves from established traditions 901 43.3% 0.43296492
2 Established traditions provide us with the wisdom needed to understand the world 1088 52.3% 0.52282556
97 Not answered 92 4.4% 0.04420951
98 Not asked 8079 NA


r24_dvtra2


Variable label: Which statement is closest to your own opinion — even if none of them are quite correct?
Literal question: Which statement is closest to your own opinion — even if none of them are quite correct?
Technical description: [Asked if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 If an idea has been around for a long time, it probably needs to be updated 1119 53.8% 0.53772225
2 If an idea has been around for a long time, it probably contains wisdom 859 41.3% 0.41278232
97 Not answered 103 4.9% 0.04949543
98 Not asked 8079 NA


r24_dvtra3


Variable label: Which statement is closest to your own opinion — even if none of them are quite correct?
Literal question: Which statement is closest to your own opinion — even if none of them are quite correct?
Technical description: [Asked if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 The world is constantly changing, so we should adjust our views about what is the morally correct way of being 1406 67.6% 0.6756367
2 Even though the world is constantly changing, it would be wrong to adapt our views about what is the morally correct way of being 599 28.8% 0.2878424
97 Not answered 76 3.7% 0.0365209
98 Not asked 8079 NA


r24_dvtra4


Variable label: Which statement is closest to your own opinion — even if none of them are quite correct?
Literal question: Which statement is closest to your own opinion — even if none of them are quite correct?
Technical description: [Asked if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Traditions are often not worth following because they are discriminatory towards unique peoples 459 22.1% 0.22056704
2 Traditions are often worth following because they connect us to our shared past 1540 74.0% 0.74002883
97 Not answered 82 3.9% 0.03940413
98 Not asked 8079 NA


r24_smtoi_1


Variable label: Social media contribute towards: Increased polarisation - Increased sense of community
Pre-question text: In the public debate, social media are often referred to as being good or bad for democracy. To what extent do you think social media contribute towards:
Literal question: Increased polarisation - Increased sense of community
Technical description:

[Asked if r24_group = 4]

[The respondent used a slider to assign a value between -5 and +5.][The glider was not positioned on a set value at the start of the question]
Technical attributes: [Question type:Numeric List] [Format:numeric] [Valid:1956] [Invalid:8204] [Range:-5-5]

Value Label Cases Percentage
-5 -5 Increased polarisation 283 14.5% 0.14468303
-4 -4 240 12.3% 0.12269939
-3 -3 318 16.3% 0.16257669
-2 -2 234 12.0% 0.11963190
-1 -1 154 7.9% 0.07873211
0 0 327 16.7% 0.16717791
1 1 106 5.4% 0.05419223
2 2 106 5.4% 0.05419223
3 3 96 4.9% 0.04907975
4 4 52 2.7% 0.02658487
5 5 Increased sense of community 40 2.0% 0.02044990
Sysmiss 8204 NA


r24_smtoi_2


Variable label: Social media contribute towards: Manipulation - Transparency
Pre-question text: In the public debate, social media are often referred to as being good or bad for democracy. To what extent do you think social media contribute towards:
Literal question: Manipulation - Transparency
Technical description:

[Asked if r24_group = 4]

[The respondent used a slider to assign a value between -5 and +5.][The glider was not positioned on a set value at the start of the question]
Technical attributes: [Question type:Numeric List] [Format:numeric] [Valid:1955] [Invalid:8205] [Range:-5-5]

Value Label Cases Percentage
-5 -5 Manipulation 229 11.7% 0.11713555
-4 -4 232 11.9% 0.11867008
-3 -3 353 18.1% 0.18056266
-2 -2 310 15.9% 0.15856777
-1 -1 189 9.7% 0.09667519
0 0 333 17.0% 0.17033248
1 1 85 4.3% 0.04347826
2 2 86 4.4% 0.04398977
3 3 71 3.6% 0.03631714
4 4 42 2.1% 0.02148338
5 5 Transparency 25 1.3% 0.01278772
Sysmiss 8205 NA


r24_smtoi_3


Variable label: Social media contribute towards: Expressions of hatred - Inclusion
Pre-question text: In the public debate, social media are often referred to as being good or bad for democracy. To what extent do you think social media contribute towards:
Literal question: Expressions of hatred - Inclusion
Technical description:

[Asked if r24_group = 4]

[The respondent used a slider to assign a value between -5 and +5.][The glider was not positioned on a set value at the start of the question]
Technical attributes: [Question type:Numeric List] [Format:numeric] [Valid:1955] [Invalid:8205] [Range:-5-5]

Value Label Cases Percentage
-5 -5 Expressions of hatred 194 9.9% 0.09923274
-4 -4 209 10.7% 0.10690537
-3 -3 281 14.4% 0.14373402
-2 -2 237 12.1% 0.12122762
-1 -1 193 9.9% 0.09872123
0 0 442 22.6% 0.22608696
1 1 129 6.6% 0.06598465
2 2 118 6.0% 0.06035806
3 3 87 4.5% 0.04450128
4 4 43 2.2% 0.02199488
5 5 Inclusion 22 1.1% 0.01125320
Sysmiss 8205 NA


r24_smtoi_4


Variable label: Social media contribute towards: Intolerance - Tolerance
Pre-question text: In the public debate, social media are often referred to as being good or bad for democracy. To what extent do you think social media contribute towards:
Literal question: Intolerance - Tolerance
Technical description:

[Asked if r24_group = 4]

[The respondent used a slider to assign a value between -5 and +5.][The glider was not positioned on a set value at the start of the question]
Technical attributes: [Question type:Numeric List] [Format:numeric] [Valid:1948] [Invalid:8212] [Range:-5-5]

Value Label Cases Percentage
-5 -5 Intolerance 202 10.4% 0.103696099
-4 -4 194 10.0% 0.099589322
-3 -3 279 14.3% 0.143223819
-2 -2 259 13.3% 0.132956879
-1 -1 223 11.4% 0.114476386
0 0 430 22.1% 0.220739220
1 1 134 6.9% 0.068788501
2 2 99 5.1% 0.050821355
3 3 72 3.7% 0.036960986
4 4 37 1.9% 0.018993840
5 5 Tolerance 19 1.0% 0.009753593
Sysmiss 8212 NA


r24_smtoi_5


Variable label: Social media contribute towards: Reduced political engagement - Increased political engagement
Pre-question text: In the public debate, social media are often referred to as being good or bad for democracy. To what extent do you think social media contribute towards:
Literal question: Reduced political engagement - Increased political engagement
Technical description:

[Asked if r24_group = 4]

[The respondent used a slider to assign a value between -5 and +5.][The glider was not positioned on a set value at the start of the question]
Technical attributes: [Question type:Numeric List] [Format:numeric] [Valid:1953] [Invalid:8207] [Range:-5-5]

Value Label Cases Percentage
-5 -5 Reduced political engagement 105 5.4% 0.05376344
-4 -4 97 5.0% 0.04966718
-3 -3 109 5.6% 0.05581157
-2 -2 98 5.0% 0.05017921
-1 -1 138 7.1% 0.07066052
0 0 443 22.7% 0.22683052
1 1 243 12.4% 0.12442396
2 2 274 14.0% 0.14029698
3 3 210 10.8% 0.10752688
4 4 131 6.7% 0.06707629
5 5 Increased political engagement 105 5.4% 0.05376344
Sysmiss 8207 NA


r24_smdebx_ran


Variable label: Experiment. Randomly selects text piping alternative for [r24_smdebx]
Technical description: [Randomized if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2043] [Invalid:8117] [Range:1-4]

Value Label Cases Percentage
1 politicians 506 24.8% 0.2476750
2 journalists 511 25.0% 0.2501224
3 activists 537 26.3% 0.2628488
4 influencers 489 23.9% 0.2393539
Sysmiss 8117 NA


r24_smdebx


Variable label: Contribute to a better or worse tone in the online debate: Many [r24_smdebx_ran] initiate political discussions through their own social media accounts.
Pre-question text: Many [r24_smdebx_ran] initiate political discussions through their own social media accounts.
Literal question: Would you say they generally contribute to a better or worse tone in the online debate?
Technical description: [Asked if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Far worse 177 8.5% 0.085055262
2 Much worse 506 24.3% 0.243152331
3 Slightly worse 531 25.5% 0.255165786
4 Neither better nor worse 619 29.7% 0.297453148
5 Slightly better 130 6.2% 0.062469966
6 Much better 38 1.8% 0.018260452
7 Far better 4 0.2% 0.001922153
97 Not answered 76 3.7% 0.036520903
98 Not asked 8079 NA


r24_smabp


Variable label: Have you ever experienced any direct abuse in the form of hatred, threats or derogatory comments on social media?
Pre-question text: Now think about the past year.
Literal question: Have you ever experienced any direct abuse in the form of hatred, threats or derogatory comments on social media?
Technical description: [Asked if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Daily 5 0.2% 0.002402691
2 Several times a week 11 0.5% 0.005285920
3 Once a month 10 0.5% 0.004805382
4 Sometimes 86 4.1% 0.041326285
5 Less frequently 167 8.0% 0.080249880
6 Never 1501 72.1% 0.721287842
7 I don't use social media 249 12.0% 0.119654012
97 Not answered 52 2.5% 0.024987987
98 Not asked 8079 NA


r24_smabo


Variable label: Have you experienced others being subjected to direct abuse in the form of hatred, threats or derogatory comments on social media?
Literal question: Have you experienced others being subjected to direct abuse in the form of hatred, threats or derogatory comments on social media?
Technical description: [Asked if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Daily 61 2.9% 0.02931283
2 Several times a week 208 10.0% 0.09995195
3 Once a month 94 4.5% 0.04517059
4 Sometimes 596 28.6% 0.28640077
5 Less frequently 349 16.8% 0.16770783
6 Never 519 24.9% 0.24939933
7 I don't use social media 193 9.3% 0.09274387
97 Not answered 61 2.9% 0.02931283
98 Not asked 8079 NA


r24_smspw


Variable label: During the course of a typical week, how often do you share news or actively participate in discussions about politics and society on social media
Literal question: During the course of a typical week, how often do you share news or actively participate in discussions about politics and society on social media (such as Facebook, Twitter, TikTok):
Technical description: [Asked if r24_smabo != 7 & r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Several times a day 7 0.4% 0.003707627
2 Daily 26 1.4% 0.013771186
3 5-6 times a week 13 0.7% 0.006885593
4 3-4 times a week 40 2.1% 0.021186441
5 1-2 times a week 110 5.8% 0.058262712
6 Less frequently 733 38.8% 0.388241525
7 Never 910 48.2% 0.481991525
97 Not answered 49 2.6% 0.025953390
98 Not asked 8272 NA


r24_smepw


Variable label: During the course of a typical week, how often do you come across news or discussions about politics and society on social media
Literal question: During the course of a typical week, how often do you come across news or discussions about politics and society on social media (such as Facebook, Twitter, TikTok):
Technical description: [Asked if r24_smabo != 7 & r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Several times a day 173 9.2% 0.09163136
2 Daily 443 23.5% 0.23463983
3 5-6 times a week 113 6.0% 0.05985169
4 3-4 times a week 190 10.1% 0.10063559
5 1-2 times a week 318 16.8% 0.16843220
6 Less frequently 345 18.3% 0.18273305
7 Never 249 13.2% 0.13188559
97 Not answered 57 3.0% 0.03019068
98 Not asked 8272 NA


r24_dvpubx_ran1


Variable label: Experiment. Randomly selects text piping alternative for [r24_dvpubx1] and [r24_dvpubx2]
Technical description: [Randomized if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2041] [Invalid:8119] [Range:1-2]

Value Label Cases Percentage
1 [Blank] 1034 50.7% 0.5066144
2 be allowed to 1007 49.3% 0.4933856
Sysmiss 8119 NA


r24_dvpubx_ran2


Variable label: Experiment. Randomly selects whether the respondent will be exposed to [r24_dvpubx1] or [r24_dbpubx2]-
Technical description: [Randomized if r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2041] [Invalid:8119] [Range:1-2]

Value Label Cases Percentage
1 Selects r24_dvpubx1 981 48.1% 0.4806467
2 Selects r24_dvpubx2 1060 51.9% 0.5193533
Sysmiss 8119 NA


r24_dvpubx1


Variable label: Agree or disagree that Norwegian newspapers should [r24_dvpubx_ran1] publish posts criticising muslims and their religious values?
Literal question: To what extent do you agree or disagree that Norwegian newspapers should [r24_dvpubx_ran1] publish posts criticising muslims and their religious values?
Technical description: [Asked if r24_dvpubx_ran2 = 1 & r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Agree 353 36.0% 0.35983690
2 Somewhat agree 324 33.0% 0.33027523
3 Somewhat disagree 181 18.5% 0.18450561
4 Disagree 111 11.3% 0.11314985
97 Not answered 12 1.2% 0.01223242
98 Not asked 9179 NA


r24_dvpubx2


Variable label: Is there a majority or minority in Norway who believe that Norwegian newspapers should [r24_dvpubx_ran1] publish posts criticising muslims and their religious values?
Pre-question text: What is your opinion:
Literal question: Is there a majority or minority in Norway who believe that Norwegian newspapers should [r24_dvpubx_ran1] publish posts criticising Muslims and their religious values?
Technical description: [Asked if r24_dvpubx_ran2 = 2 & r24_group = 4]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 A majority 378 35.7% 0.35660377
2 A minority 651 61.4% 0.61415094
97 Not answered 31 2.9% 0.02924528
98 Not asked 9100 NA


r24_hesiw


Variable label: What do you think sinusitis is?
Literal question: What do you think sinusitis is?
Post-question: Write down the first thing that comes to mind. It’s your opinion we’re interested in:
Technical description:

[Asked if r24_group = 5]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open] [Format:character] [Valid:0] [Invalid:10160] [Range:-]



r24_hesic


Variable label: Have you ever had sinusitis?
Literal question: Have you ever had sinusitis?
Post-question: It is enough for the purposes of this survey if you have had your own suspicions. It does not have to have been diagnosed by a doctor.
Technical description: [Asked if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Yes 1152 55.9% 0.558680892
2 No 659 32.0% 0.319592629
3 Not sure 231 11.2% 0.112027158
97 Not answered 20 1.0% 0.009699321
98 Not asked 8098 NA


r24_hesid


Variable label: What prompts you to contact your doctor when you have a severe cold of suspect sinusititis?
Literal question: What prompts you to contact your doctor when you have a severe cold of suspect sinusititis?
Post-question:

By “prompts” we mean what complaints or needs make you contact your doctor.

Please write here:
Technical description:

[Asked if r24_group = 5]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open] [Format:character] [Valid:0] [Invalid:10160] [Range:-]



r24_hesia


Variable label: If you see your doctor for a severe cold or sinusitis, what do you think determines whether or not you are prescribed antibiotics?
Literal question: If you see your doctor for a severe cold or sinusitis, what do you think determines whether or not you are prescribed antibiotics?
Post-question: Write down the first thing that comes to mind. It’s your opinion we’re interested in:
Technical description:

[Asked if r24_group = 5]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open] [Format:character] [Valid:0] [Invalid:10160] [Range:-]



r24_hesda


Variable label: Agree/disagree: It is easy for the doctor to decide whether or not you will benefit from a course of antibiotics for your sinusitis.
Pre-question text: To what extent do you agree or disagree with the following statement?
Literal question: It is easy for the doctor to decide whether or not you will benefit from a course of antibiotics for your sinusitis.
Technical description: [Asked if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Strongly disagree 43 2.1% 0.02085354
2 Disagree 247 12.0% 0.11978661
3 Neither agree nor disagree 722 35.0% 0.35014549
4 Agree 849 41.2% 0.41173618
5 Strongly agree 170 8.2% 0.08244423
97 Not answered 31 1.5% 0.01503395
98 Not asked 8098 NA


r24_hesih


Variable label: Agree/disagree: Antibiotics help my sinusitis.
Pre-question text: To what extent do you agree or disagree with the following statement?
Literal question: Antibiotics help my sinusitis.
Technical description: [Asked if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Strongly disagree 50 2.4% 0.02424830
2 Disagree 192 9.3% 0.09311348
3 Neither agree nor disagree 1077 52.2% 0.52230844
4 Agree 614 29.8% 0.29776916
5 Strongly agree 89 4.3% 0.04316198
97 Not answered 40 1.9% 0.01939864
98 Not asked 8098 NA


r24_hestd


Variable label: Agree/disagree: I have confidence that if my doctor prescribes antibiotics for my sinusitis, then such is necessary in order for me to get better.
Pre-question text: To what extent do you agree or disagree with the following statement?
Literal question: I have confidence that if my doctor prescribes antibiotics for my sinusitis, then such is necessary in order for me to get better.
Technical description: [Asked if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Strongly disagree 61 3.0% 0.02958293
2 Disagree 151 7.3% 0.07322987
3 Neither agree nor disagree 347 16.8% 0.16828322
4 Agree 1189 57.7% 0.57662464
5 Strongly agree 280 13.6% 0.13579049
97 Not answered 34 1.6% 0.01648885
98 Not asked 8098 NA


r24_hedepx_ran1


Variable label: Experiment. Randomly selects text piping alternative for [r24_hedepx1]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2042] [Invalid:8118] [Range:1-2]

Value Label Cases Percentage
1 Kristian is 42 years old. During the last few weeks he has been feeling sad every day. Kristian's sadness has been constant and he can find no explanation for it, based on anything that has happened or the time of year. It's hard for him to go to work every day. He used to enjoy his work and being with his colleagues. Now he can no longer find any pleasure in it or in any of the other activities he enjoyed before. Usually Kristian likes to go out with his friends and his brother, but now he stays more at home. Kristian feels very guilty about feeling so sad and he feels that he has let his brother and friends down. His brother has now said that Kristian becomes too easily distracted and that he is unable to concentrate and make decisions. Since these challenges began, Kristian has been sleeping badly every night. He has had difficulty falling asleep and wakes up often during the night. When he was lying awake a few nights ago trying to get to sleep, he started crying because he felt so helpless. 1033 50.6% 0.5058766
2 Kristine is 42. During the last few weeks she has been feeling sad every day. Kristine's sadness has been constant and she can find no explanation for it, based on anything that has happened or the time of year. It's hard for her to go to work every day. She used to enjoy her work and being with her colleagues. Now she can no longer find any pleasure in it or in any of the other activities she enjoyed before. Usually Kristine likes to go out with friends and her sister, but now she stays more at home. Kristine feels very guilty about feeling so sad and she feels that she has let her sister and friends down. Her sister has now said that Kristine becomes too easily distracted and that she is unable to concentrate and make decisions. Since these challenges began, Kristine has been sleeping badly every night. She has had difficulty falling asleep and wakes up often during the night. When she was lying awake a few nights ago trying to get to sleep, she started crying because she felt so helpless. 1009 49.4% 0.4941234
Sysmiss 8118 NA


r24_hedepx_ran2


Variable label: Experiment. Selects text piping alternative for [r24_hedepx1]
Technical description: [Set to same gendervalue as [r24_hedpx_ran1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2042] [Invalid:8118] [Range:1-2]

Value Label Cases Percentage
1 Kristian 1033 50.6% 0.5058766
2 Kristine 1009 49.4% 0.4941234
Sysmiss 8118 NA


r24_hedepx_ran3


Variable label: Experiment. Randomly selects text piping alternative for [r24_hedepx2]
Technical description: [Set to opposite gendervalue from [r24_hedpx_ran1]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2042] [Invalid:8118] [Range:1-2]

Value Label Cases Percentage
1 men 1033 50.6% 0.5058766
2 women 1009 49.4% 0.4941234
Sysmiss 8118 NA


r24_hedepx1_1


Variable label: If you had felt like [r24_hedepx_ran2], would you go and see a doctor or a psychologist?: Doctor
Pre-question text: [r24_hedepx_ran1] If you had felt like [r24_hedepx_ran2], would you go and see a doctor or a psychologist?
Literal question: Doctor
Technical description: [Asked if r24_group = 5]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Highly unlikely 152 7.4% 0.07371484
2 Unlikely 177 8.6% 0.08583899
3 Somewhat unlikely 198 9.6% 0.09602328
4 Fairly likely 457 22.2% 0.22162949
5 Likely 655 31.8% 0.31765276
6 Highly likely 352 17.1% 0.17070805
97 Not answered 71 3.4% 0.03443259
98 Not asked 8098 NA


r24_hedepx1_2


Variable label: If you had felt like [r24_hedepx_ran2], would you go and see a doctor or a psychologist?: Psychologist
Pre-question text: [r24_hedepx_ran1] If you had felt like [r24_hedepx_ran2], would you go and see a doctor or a psychologist?
Literal question: Psychologist
Technical description: [Asked if r24_group = 5]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Highly unlikely 298 14.5% 0.14451988
2 Unlikely 357 17.3% 0.17313288
3 Somewhat unlikely 293 14.2% 0.14209505
4 Fairly likely 403 19.5% 0.19544132
5 Likely 347 16.8% 0.16828322
6 Highly likely 211 10.2% 0.10232784
97 Not answered 153 7.4% 0.07419981
98 Not asked 8098 NA


r24_hedepx2_1


Variable label: Do you think [r24_hedepx_ran3] most people would see a doctor or psychologist if they felt like [r24_hedepx_ran2]?: Doctor
Pre-question text: Do you think [r24_hedepx_ran3] most people would see a doctor or psychologist if they felt like [r24_hedepx_ran]?
Literal question: Doctor
Technical description: [Asked if r24_group = 5]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Highly unlikely 109 5.3% 0.05286130
2 Unlikely 250 12.1% 0.12124151
3 Somewhat unlikely 334 16.2% 0.16197866
4 Fairly likely 620 30.1% 0.30067895
5 Likely 543 26.3% 0.26333657
6 Highly likely 147 7.1% 0.07129001
97 Not answered 59 2.9% 0.02861300
98 Not asked 8098 NA


r24_hedepx2_2


Variable label: Do you think [r24_hedepx_ran3] most people would see a doctor or psychologist if they felt like [r24_hedepx_ran2]?: Psychologist
Pre-question text: Do you think [r24_hedepx_ran3] most people would see a doctor or psychologist if they felt like [r24_hedepx_ran2]?
Literal question: Psychologist
Technical description: [Asked if r24_group = 5]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Highly unlikely 237 11.5% 0.11493695
2 Unlikely 444 21.5% 0.21532493
3 Somewhat unlikely 507 24.6% 0.24587779
4 Fairly likely 475 23.0% 0.23035887
5 Likely 180 8.7% 0.08729389
6 Highly likely 53 2.6% 0.02570320
97 Not answered 166 8.1% 0.08050436
98 Not asked 8098 NA


r24_dvneix1_ran1_1


Variable label: Experiment. Randomly selects a value (gender) for textpiping in the first column in [r24_dvneix1]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-2]

Value Label Cases Percentage
1 Male 972 47.7% 0.4771723
2 Female 1065 52.3% 0.5228277
Sysmiss 8123 NA


r24_dvneix1_ran1_2


Variable label: Experiment. Randomly selects a value (gender) for textpiping in the second column in [r24_dvneix1]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-2]

Value Label Cases Percentage
1 Male 1030 50.6% 0.5056456
2 Female 1007 49.4% 0.4943544
Sysmiss 8123 NA


r24_dvneix1_ran2_1


Variable label: Experiment. Randomly selects a value (age) for textpiping in the first column in [r24_dvneix1]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-2]

Value Label Cases Percentage
1 Mid 20s 981 48.2% 0.4815906
2 Mid 50s 1056 51.8% 0.5184094
Sysmiss 8123 NA


r24_dvneix1_ran2_2


Variable label: Experiment. Randomly selects a value (age) for textpiping in the second column in [r24_dvneix1]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-2]

Value Label Cases Percentage
1 Mid 20s 1021 50.1% 0.5012273
2 Mid 50s 1016 49.9% 0.4987727
Sysmiss 8123 NA


r24_dvneix1_ran3_1


Variable label: Experiment. Randomly selects a value (family status) for textpiping in the first column in [r24_dvneix1]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-3]

Value Label Cases Percentage
1 Single 676 33.2% 0.3318606
2 Married without children 688 33.8% 0.3377516
3 Married with 2 children 673 33.0% 0.3303878
Sysmiss 8123 NA


r24_dvneix1_ran3_2


Variable label: Experiment. Randomly selects a value (family status) for textpiping in the second column in [r24_dvneix1]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-3]

Value Label Cases Percentage
1 Single 692 34.0% 0.3397153
2 Married without children 707 34.7% 0.3470790
3 Married with 2 children 638 31.3% 0.3132057
Sysmiss 8123 NA


r24_dvneix1_ran4_1


Variable label: Experiment. Randomly selects a value (country) for textpiping in the first column in [r24_dvneix1]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-3]

Value Label Cases Percentage
1 Born in Norway 693 34.0% 0.3402062
2 Immigrated to Norway from Germany 683 33.5% 0.3352970
3 Immigrated to Norway from Syria 661 32.4% 0.3244968
Sysmiss 8123 NA


r24_dvneix1_ran4_2


Variable label: Experiment. Randomly selects a value (country) for textpiping in the second column in [r24_dvneix1]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-3]

Value Label Cases Percentage
1 Born in Norway 696 34.2% 0.3416789
2 Immigrated to Norway from Germany 671 32.9% 0.3294060
3 Immigrated to Norway from Syria 670 32.9% 0.3289151
Sysmiss 8123 NA


r24_dvneix1_ran5_1


Variable label: Experiment. Randomly selects a value (religion) for textpiping in the first column in [r24_dvneix1]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-3]

Value Label Cases Percentage
1 Christian 670 32.9% 0.3289151
2 Muslim 704 34.6% 0.3456063
3 No religious affiliation 663 32.5% 0.3254786
Sysmiss 8123 NA


r24_dvneix1_ran5_2


Variable label: Experiment. Randomly selects a value (religion) for textpiping in the second column in [r24_dvneix1]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-3]

Value Label Cases Percentage
1 Christian 675 33.1% 0.3313697
2 Muslim 667 32.7% 0.3274423
3 No religious affiliation 695 34.1% 0.3411880
Sysmiss 8123 NA


r24_dvneix1_ran6_1


Variable label: Experiment. Randomly selects a value (education) for textpiping in the first column in [r24_dvneix1]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-2]

Value Label Cases Percentage
1 Higher education 1052 51.6% 0.5164458
2 No higher education 985 48.4% 0.4835542
Sysmiss 8123 NA


r24_dvneix1_ran6_2


Variable label: Experiment. Randomly selects a value (education) for textpiping in the second column in [r24_dvneix1]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-2]

Value Label Cases Percentage
1 Higher education 1020 50.1% 0.5007364
2 No higher education 1017 49.9% 0.4992636
Sysmiss 8123 NA


r24_dvneix1_ran7_1


Variable label: Experiment. Randomly selects a value (political party) for textpiping in the first column in [r24_dvneix1]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-5]

Value Label Cases Percentage
1 The Labour Party 404 19.8% 0.1983309
2 The Conservative Party 423 20.8% 0.2076583
3 The Progress Party 385 18.9% 0.1890034
4 The Liberal Party 433 21.3% 0.2125675
5 The Socialist Left Party 392 19.2% 0.1924399
Sysmiss 8123 NA


r24_dvneix1_ran7_2


Variable label: Experiment. Randomly selects a value (political party) for textpiping in the second column in [r24_dvneix1]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-5]

Value Label Cases Percentage
1 The Labour Party 432 21.2% 0.2120766
2 The Conservative Party 428 21.0% 0.2101129
3 The Progress Party 402 19.7% 0.1973490
4 The Liberal Party 391 19.2% 0.1919489
5 The Socialist Left Party 384 18.9% 0.1885125
Sysmiss 8123 NA


r24_dvneix1_rerandomize


Variable label: Experiment. If all values in the first and second column in [r24_dvneix1] are equal after first randomisation, one of the variables are randomised again. This variable indicates if that has been done.
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Open] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:0-1]

Value Label Cases Percentage
1 Rerandomized 4 0.2% 0.001963672
0 Not rerandomized 2033 99.8% 0.998036328
Sysmiss 8123 NA


r24_dvneix2_ran1_1


Variable label: Experiment. Randomly selects a value (gender) for textpiping in the first column in [r24_dvneix2]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-2]

Value Label Cases Percentage
1 Male 1047 51.4% 0.5139912
2 Female 990 48.6% 0.4860088
Sysmiss 8123 NA


r24_dvneix2_ran1_2


Variable label: Experiment. Randomly selects a value (gender) for textpiping in the second column in [r24_dvneix2]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-2]

Value Label Cases Percentage
1 Male 1027 50.4% 0.5041728
2 Female 1010 49.6% 0.4958272
Sysmiss 8123 NA


r24_dvneix2_ran2_1


Variable label: Experiment. Randomly selects a value (age) for textpiping in the first column in [r24_dvneix2]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-2]

Value Label Cases Percentage
1 Mid 20s 986 48.4% 0.4840452
2 Mid 50s 1051 51.6% 0.5159548
Sysmiss 8123 NA


r24_dvneix2_ran2_2


Variable label: Experiment. Randomly selects a value (age) for textpiping in the second column in [r24_dvneix2]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-2]

Value Label Cases Percentage
1 Mid 20s 1027 50.4% 0.5041728
2 Mid 50s 1010 49.6% 0.4958272
Sysmiss 8123 NA


r24_dvneix2_ran3_1


Variable label: Experiment. Randomly selects a value (family status) for textpiping in the first column in [r24_dvneix2]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-3]

Value Label Cases Percentage
1 Single 653 32.1% 0.3205695
2 Married without children 662 32.5% 0.3249877
3 Married with 2 children 722 35.4% 0.3544428
Sysmiss 8123 NA


r24_dvneix2_ran3_2


Variable label: Experiment. Randomly selects a value (family status) for textpiping in the second column in [r24_dvneix2]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-3]

Value Label Cases Percentage
1 Single 696 34.2% 0.3416789
2 Married without children 668 32.8% 0.3279332
3 Married with 2 children 673 33.0% 0.3303878
Sysmiss 8123 NA


r24_dvneix2_ran4_1


Variable label: Experiment. Randomly selects a value (country) for textpiping in the first column in [r24_dvneix2]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-3]

Value Label Cases Percentage
1 Born in Norway 689 33.8% 0.3382425
2 Immigrated to Norway from Germany 675 33.1% 0.3313697
3 Immigrated to Norway from Syria 673 33.0% 0.3303878
Sysmiss 8123 NA


r24_dvneix2_ran4_2


Variable label: Experiment. Randomly selects a value (country) for textpiping in the second column in [r24_dvneix2]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-3]

Value Label Cases Percentage
1 Born in Norway 674 33.1% 0.3308787
2 Immigrated to Norway from Germany 704 34.6% 0.3456063
3 Immigrated to Norway from Syria 659 32.4% 0.3235150
Sysmiss 8123 NA


r24_dvneix2_ran5_1


Variable label: Experiment. Randomly selects a value (religion) for textpiping in the first column in [r24_dvneix2]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-3]

Value Label Cases Percentage
1 Christian 695 34.1% 0.3411880
2 Muslim 670 32.9% 0.3289151
3 No religious affiliation 672 33.0% 0.3298969
Sysmiss 8123 NA


r24_dvneix2_ran5_2


Variable label: Experiment. Randomly selects a value (religion) for textpiping in the second column in [r24_dvneix2]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-3]

Value Label Cases Percentage
1 Christian 678 33.3% 0.3328424
2 Muslim 697 34.2% 0.3421699
3 No religious affiliation 662 32.5% 0.3249877
Sysmiss 8123 NA


r24_dvneix2_ran6_1


Variable label: Experiment. Randomly selects a value (education) for textpiping in the first column in [r24_dvneix2]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-2]

Value Label Cases Percentage
1 Higher education 1030 50.6% 0.5056456
2 No higher education 1007 49.4% 0.4943544
Sysmiss 8123 NA


r24_dvneix2_ran6_2


Variable label: Experiment. Randomly selects a value (education) for textpiping in the second column in [r24_dvneix2]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-2]

Value Label Cases Percentage
1 Higher education 1025 50.3% 0.503191
2 No higher education 1012 49.7% 0.496809
Sysmiss 8123 NA


r24_dvneix2_ran7_1


Variable label: Experiment. Randomly selects a value (political party) for textpiping in the first column in [r24_dvneix2]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-5]

Value Label Cases Percentage
1 The Labour Party 385 18.9% 0.1890034
2 The Conservative Party 409 20.1% 0.2007855
3 The Progress Party 393 19.3% 0.1929308
4 The Liberal Party 451 22.1% 0.2214040
5 The Socialist Left Party 399 19.6% 0.1958763
Sysmiss 8123 NA


r24_dvneix2_ran7_2


Variable label: Experiment. Randomly selects a value (political party) for textpiping in the second column in [r24_dvneix2]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:1-5]

Value Label Cases Percentage
1 The Labour Party 418 20.5% 0.2052037
2 The Conservative Party 391 19.2% 0.1919489
3 The Progress Party 395 19.4% 0.1939126
4 The Liberal Party 419 20.6% 0.2056946
5 The Socialist Left Party 414 20.3% 0.2032401
Sysmiss 8123 NA


r24_dvneix2_rerandomize


Variable label: Experiment. If all values in the first and second column in [r24_dvneix2] are equal after first randomisation, one of the variables are randomised again. This variable indicates if that has been done.
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Open] [Format:numeric] [Valid:2037] [Invalid:8123] [Range:0-1]

Value Label Cases Percentage
1 Rerandomized 1 0.0% 0.000490918
0 Not rerandomized 2036 100.0% 0.999509082
Sysmiss 8123 NA


r24_dvneix1


Variable label: Experiment. Which of these two people you would have preferred to be friends with?
Pre-question text:

We’re curious about which of these two people you would have preferred to be friends with?

Person 1

[r24_dvneix1_ran1_1]

[r24_dvneix1_ran2_1]

[r24_dvneix1_ran3_1]

[r24_dvneix1_ran4_1]

[r24_dvneix1_ran5_1]

[r24_dvneix1_ran6_1]

[r24_dvneix1_ran7_1]

Person 2

[r24_dvneix1_ran1_2]

[r24_dvneix1_ran2_2]

[r24_dvneix1_ran3_2]

[r24_dvneix1_ran4_2]

[r24_dvneix1_ran5_2]

[r24_dvneix1_ran6_2]

[r24_dvneix1_ran7_2]
Literal question: We’re curious about which of these two people you would have preferred to be friends with?
Technical description:

[Asked if r24_group = 5]

[The variables in the table was posed in random order][The question was posed in random order with [r24_dvneix2]. Order is stored in [r24_dvneix_order]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Person 1 997 48.4% 0.48351115
2 Person 2 941 45.6% 0.45635306
97 Not answered 124 6.0% 0.06013579
98 Not asked 8098 NA


r24_dvneix2


Variable label: Experiment. Which of these two people you would have preferred to be neighbours with?
Pre-question text:

We’re curious about which of these two people you would have preferred to be neighbours with?

Person 1

[r24_dvneix1_ran1_1]

[r24_dvneix1_ran2_1]

[r24_dvneix1_ran3_1]

[r24_dvneix1_ran4_1]

[r24_dvneix1_ran5_1]

[r24_dvneix1_ran6_1]

[r24_dvneix1_ran7_1]

Person 2

[r24_dvneix1_ran1_2]

[r24_dvneix1_ran2_2]

[r24_dvneix1_ran3_2]

[r24_dvneix1_ran4_2]

[r24_dvneix1_ran5_2]

[r24_dvneix1_ran6_2]

[r24_dvneix1_ran7_2]
Literal question: We’re curious about which of these two people you would have preferred to be neighbours with?
Technical description:

[Asked if r24_group = 5]

[The variables in the table was posed in random order][The question was posed in random order with [r24_dvneix1]. Order is stored in [r24_dvneix_order]]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Person 1 1021 49.5% 0.49515034
2 Person 2 916 44.4% 0.44422890
97 Not answered 125 6.1% 0.06062076
98 Not asked 8098 NA


r24_dvneix_order


Variable label: Experiment. Display order of [r24_dvneix1] and [r24_dvneix2]
Technical description: [Randomized if r24_group = 5]
Technical attributes: [Question type:Open] [Format:character] [Valid:2034] [Invalid:8126] [Range:-]



r24_ceelc_1


Variable label: Agree/disagree that the authorities should: Compensate consumers when electricity prices are high
Pre-question text: The authorities can introduce various measures to reduce electricity costs for consumers in Norway. How much do you agree or disagree that the authorities should…
Literal question: …compensate consumers when electricity prices are high
Technical description:

[Asked if (r24_group = 1 & rekruttert = 1,3,8,11)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 253 27.0% 0.27029915
2 Agree 276 29.5% 0.29487179
3 Somewhat agree 182 19.4% 0.19444444
4 Neither agree nor disagree 51 5.4% 0.05448718
5 Somewhat disagree 71 7.6% 0.07585470
6 Disagree 46 4.9% 0.04914530
7 Strongly disagree 23 2.5% 0.02457265
97 Not answered 34 3.6% 0.03632479
98 Not asked 9224 NA


r24_ceelc_2


Variable label: Agree/disagree that the authorities should: Expand Norwegian power production
Pre-question text: The authorities can introduce various measures to reduce electricity costs for consumers in Norway. How much do you agree or disagree that the authorities should…
Literal question: …expand Norwegian power production
Technical description:

[Asked if (r24_group = 1 & rekruttert = 1,3,8,11)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 256 27.4% 0.27350427
2 Agree 311 33.2% 0.33226496
3 Somewhat agree 186 19.9% 0.19871795
4 Neither agree nor disagree 74 7.9% 0.07905983
5 Somewhat disagree 39 4.2% 0.04166667
6 Disagree 19 2.0% 0.02029915
7 Strongly disagree 17 1.8% 0.01816239
97 Not answered 34 3.6% 0.03632479
98 Not asked 9224 NA


r24_ceelc_3


Variable label: Agree/disagree that the authorities should: Export less electricity abroad
Pre-question text: The authorities can introduce various measures to reduce electricity costs for consumers in Norway. How much do you agree or disagree that the authorities should…
Literal question: …export less electricity abroad
Technical description:

[Asked if (r24_group = 1 & rekruttert = 1,3,8,11)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 323 34.5% 0.34508547
2 Agree 223 23.8% 0.23824786
3 Somewhat agree 170 18.2% 0.18162393
4 Neither agree nor disagree 81 8.7% 0.08653846
5 Somewhat disagree 50 5.3% 0.05341880
6 Disagree 45 4.8% 0.04807692
7 Strongly disagree 14 1.5% 0.01495726
97 Not answered 30 3.2% 0.03205128
98 Not asked 9224 NA


r24_ceelc_4


Variable label: Agree/disagree that the authorities should: Refrain from introducing measures to reduce electricity costs
Pre-question text: The authorities can introduce various measures to reduce electricity costs for consumers in Norway. How much do you agree or disagree that the authorities should…
Literal question: …refrain from introducing measures to reduce electricity costs
Technical description:

[Asked if (r24_group = 1 & rekruttert = 1,3,8,11)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 13 1.4% 0.01388889
2 Agree 20 2.1% 0.02136752
3 Somewhat agree 46 4.9% 0.04914530
4 Neither agree nor disagree 86 9.2% 0.09188034
5 Somewhat disagree 128 13.7% 0.13675214
6 Disagree 298 31.8% 0.31837607
7 Strongly disagree 298 31.8% 0.31837607
97 Not answered 47 5.0% 0.05021368
98 Not asked 9224 NA


r24_ceelc_5


Variable label: Agree/disagree that the authorities should: Increase financial support for electricity-saving measures
Pre-question text: The authorities can introduce various measures to reduce electricity costs for consumers in Norway. How much do you agree or disagree that the authorities should…
Literal question: …increase financial support for electricity-saving measures
Technical description:

[Asked if (r24_group = 1 & rekruttert = 1,3,8,11)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 296 31.6% 0.316239316
2 Agree 348 37.2% 0.371794872
3 Somewhat agree 165 17.6% 0.176282051
4 Neither agree nor disagree 47 5.0% 0.050213675
5 Somewhat disagree 23 2.5% 0.024572650
6 Disagree 15 1.6% 0.016025641
7 Strongly disagree 7 0.7% 0.007478632
97 Not answered 35 3.7% 0.037393162
98 Not asked 9224 NA


r24_ceelc_6


Variable label: Agree/disagree that the authorities should: Other: Write here
Pre-question text: The authorities can introduce various measures to reduce electricity costs for consumers in Norway. How much do you agree or disagree that the authorities should…
Literal question: Other: Write here
Technical description:

[Asked if (r24_group = 1 & rekruttert = 1,3,8,11)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 134 14.3% 0.143162393
2 Agree 22 2.4% 0.023504274
3 Somewhat agree 2 0.2% 0.002136752
4 Neither agree nor disagree 31 3.3% 0.033119658
5 Somewhat disagree 0 0.0% 0.000000000
6 Disagree 1 0.1% 0.001068376
7 Strongly disagree 7 0.7% 0.007478632
97 Not answered 739 79.0% 0.789529915
98 Not asked 9224 NA


r24_ceelc_6_other


Variable label: Agree/disagree that the authorities should: Other: Write here
Pre-question text: The authorities can introduce various measures to reduce electricity costs for consumers in Norway. How much do you agree or disagree that the authorities should…
Literal question: Other: Write here
Technical description:

[Asked if (r24_group = 1 & rekruttert = 1,3,8,11)]

[Answer list display order: Randomize]

[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:Grid - Other] [Format:character] [Valid:0] [Invalid:10160] [Range:-]



r24_corona_utvalg


Variable label: Experiment. Randomly assigns a group which determines what corona-questions the respondent will be exposed to.
Technical description:

[Randomized if r24_panel = 1]

[Weighted randomization with a 2/3-allocation.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1736] [Invalid:8424] [Range:1-2]

Value Label Cases Percentage
1 Sample A (approx. 2/3) 1169 67.3% 0.6733871
2 Sample B (approx. 1/3) 567 32.7% 0.3266129
Sysmiss 8424 NA


r24_hecli


Variable label: I do my best to limit the risk of infection
Literal question: I do my best to limit the risk of infection (washing hands frequently, avoiding travel and situations involving contact with other people, keeping a distance and avoiding touching things)
Technical description: [Asked if r24_panel = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Completely disagree 97 5.5% 0.05536530
2 Disagree 284 16.2% 0.16210046
3 Neither agree nor disagree 314 17.9% 0.17922374
4 Agree 670 38.2% 0.38242009
5 Completely agree 369 21.1% 0.21061644
97 Not answered 18 1.0% 0.01027397
98 Not asked 8408 NA


r24_hecri


Variable label: How likely do you think it is that you will be infected by the coronavirus (or re-infected, if you have already had it)?
Literal question: How likely do you think it is that you will be infected by the coronavirus (or re-infected, if you have already had it)?
Technical description: [Asked if r24_panel = 1 & r24_corona_utvalg = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Highly unlikely 225 19.2% 0.192472198
2 Fairly unlikely 413 35.3% 0.353293413
3 Neither likely nor unlikely 407 34.8% 0.348160821
4 Fairly likely 98 8.4% 0.083832335
5 Highly likely 20 1.7% 0.017108640
97 Not answered 6 0.5% 0.005132592
98 Not asked 8991 NA


r24_hechc


Variable label: I am optimistic that I will be able to deal with any challenges that have been or will be presented to me by the coronavirus outbreak.
Literal question: I am optimistic that I will be able to deal with any challenges that have been or will be presented to me by the coronavirus outbreak.
Technical description: [Asked if r24_panel = 1 & r24_corona_utvalg = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Completely disagree 9 0.8% 0.007698888
2 Disagree 13 1.1% 0.011120616
3 Neither agree nor disagree 72 6.2% 0.061591104
4 Agree 647 55.3% 0.553464500
5 Completely agree 413 35.3% 0.353293413
97 Not answered 15 1.3% 0.012831480
98 Not asked 8991 NA


r24_hecwp


Variable label: I worry that I will get infected by the coronavirus.
Literal question: I worry that I will get infected by the coronavirus.
Technical description: [Asked if r24_panel = 1 & r24_corona_utvalg = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Completely disagree 167 29.5% 0.294532628
2 Disagree 220 38.8% 0.388007055
3 Neither agree nor disagree 107 18.9% 0.188712522
4 Agree 62 10.9% 0.109347443
5 Completely agree 10 1.8% 0.017636684
97 Not answered 1 0.2% 0.001763668
98 Not asked 9593 NA


r24_hecwf


Variable label: I worry that someone in my family will get infected by the coronavirus.
Literal question: I worry that someone in my family will get infected by the coronavirus.
Technical description: [Asked if r24_panel = 1 & r24_corona_utvalg = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Completely disagree 102 18.0% 0.179894180
2 Disagree 199 35.1% 0.350970018
3 Neither agree nor disagree 121 21.3% 0.213403880
4 Agree 120 21.2% 0.211640212
5 Completely agree 24 4.2% 0.042328042
97 Not answered 1 0.2% 0.001763668
98 Not asked 9593 NA


r24_pampvx_ran1


Variable label: Experiment. Randomly selects text piping alternative for [r24_pampvx1 - r24_pampvx3]
Technical description: [Randomized if r24_panel = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:4120] [Invalid:6040] [Range:1-3]

Value Label Cases Percentage
1 sent a photo with sexual content 1399 34.0% 0.3395631
2 threw a glass of water in his/her face 1342 32.6% 0.3257282
3 threatened to put an end to his/her political career 1379 33.5% 0.3347087
Sysmiss 6040 NA


r24_pampvx_ran2


Variable label: Experiment. Randomly selects text piping alternative for [r24_pampvx1 - r24_pampvx3]
Technical description: [Randomized if r24_panel = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:4120] [Invalid:6040] [Range:1-2]

Value Label Cases Percentage
1 The case ended when the candidate who was the subject of the incident withdraw from politics. 2069 50.2% 0.5021845
2 [Blank] 2051 49.8% 0.4978155
Sysmiss 6040 NA


r24_pampvx_1


Variable label: Imagine a situation where two politicians are competing for a safe seat in a general election and a situation occurs: To what extent do you agree or disagree that such behaviour between politicians is acceptable?
Pre-question text:

Imagine a situation where two politicians are competing for a safe seat in a general election.

Just before a decision was about to be made, it came to light that one candidate had [r24_pampvx_ran1] to the other. [r24_pampvx_ran2]
Literal question: To what extent do you agree or disagree that such behaviour between politicians is acceptable?
Technical description: [Asked if r24_panel = 2]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 179 4.3% 0.04277180
2 Agree 137 3.3% 0.03273596
3 Somewhat agree 107 2.6% 0.02556750
4 Neither agree nor disagree 274 6.5% 0.06547192
5 Somewhat disagree 185 4.4% 0.04420550
6 Disagree 924 22.1% 0.22078853
7 Strongly disagree 2283 54.6% 0.54551971
97 Not answered 96 2.3% 0.02293907
98 Not asked 5975 NA


r24_pampvx_2


Variable label: Imagine a situation where two politicians are competing for a safe seat in a general election and a situation occurs: To what extent do you agree or disagree that parties should sanction such behaviour?
Pre-question text:

Imagine a situation where two politicians are competing for a safe seat in a general election.

Just before a decision was about to be made, it came to light that one candidate had [r24_pampvx_ran1] to the other. [r24_pampvx_ran2]
Literal question: To what extent do you agree or disagree that parties should sanction such behaviour?
Technical description: [Asked if r24_panel = 2]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 1722 41.1% 0.41146953
2 Agree 1259 30.1% 0.30083632
3 Somewhat agree 422 10.1% 0.10083632
4 Neither agree nor disagree 409 9.8% 0.09772999
5 Somewhat disagree 104 2.5% 0.02485066
6 Disagree 70 1.7% 0.01672640
7 Strongly disagree 86 2.1% 0.02054958
97 Not answered 113 2.7% 0.02700119
98 Not asked 5975 NA


r24_pampvx_3


Variable label: Imagine a situation where two politicians are competing for a safe seat in a general election and a situation occurs: To what extent do you agree or disagree that such behaviour between politicians is a challenge to democracy?
Pre-question text:

Imagine a situation where two politicians are competing for a safe seat in a general election.

Just before a decision was about to be made, it came to light that one candidate had [r24_pampvx_ran1] to the other. [r24_pampvx_ran2]
Literal question: To what extent do you agree or disagree that such behaviour between politicians is a challenge to democracy?
Technical description: [Asked if r24_panel = 2]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 1385 33.1% 0.33094385
2 Agree 1199 28.6% 0.28649940
3 Agree somewhat 617 14.7% 0.14743130
4 Neither agree nor disagree 510 12.2% 0.12186380
5 Disagree somewhat 143 3.4% 0.03416965
6 Disagree 135 3.2% 0.03225806
7 Strongly disagree 93 2.2% 0.02222222
97 Not answered 103 2.5% 0.02461171
98 Not asked 5975 NA


r24_tesce_ran


Variable label: Experiment. Randomly selects an element for textpiping in [r24_tesce]
Technical description: [Randomized if r24_panel = 3]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:4146] [Invalid:6014] [Range:1-27]

Value Label Cases Percentage
1 Your fitness app indicates that you are overweight. An online pharmacy buys this information and offers you slimming pills. You take the pills and get chronic diarrhoea. 130 3.1% 0.03135552
2 You have attended a sex party. A criminal network hacks the list of participants and threatens to publish it. They expose you to blackmail, which causes you psychological stress. 160 3.9% 0.03859141
3 You have a sexually transmitted disease. A friend accidentally shares this online, which results in your partner hitting you. 169 4.1% 0.04076218
4 On your birthday, a friend shares a video of you being drunk on social media. Your boss sees the video and you lose potential bonuses because you have behaved unprofessionally. Due to your loss of income, you experience financial challenges. 147 3.5% 0.03545586
5 A fitness app tracks your physiological state of health and advises you to buy expensive dietary supplements in order to improve your health. You buy the supplements, but it turns out that your health does not improve and that you wasted your money. 152 3.7% 0.03666184
6 A friend tags your geographical location in a social media post which shows that you are not at home. Your colleagues and your boss see this and are angry because you had called in sick. You experience being ostracised at work. 144 3.5% 0.03473227
7 You tick off your sexual orientation on a dating app. Based on this information, the app exposes you to advertising about rapid HIV testing. This really upsets you. 157 3.8% 0.03786782
8 You buy a smartphone online for NOK 10,000 using your credit card. The online store turns out to be a scam and you never receive the mobile you ordered, nor do you get your money back. 163 3.9% 0.03931500
9 An advertising company picks up your political views from social media and sends you advertisements for products which relate to your party. You spend a lot of money on the products. 145 3.5% 0.03497347
10 Family members tag you in photos taken at a religious event. Your friends avoid inviting you to social gatherings and parties because of your religious beliefs. 143 3.4% 0.03449108
11 You buy books from an online bookstore without being aware that you have left behind your credit card information. This involves consenting to their 12-month book club subscription, which costs £250 per month. 151 3.6% 0.03642065
12 You buy products from an online store in order to support a political party. Without being aware of it, you agree to be used in advertisements. This results in you being physically harassed by voters from another party. 154 3.7% 0.03714424
13 You tap “shall” on a social media pride event which anyone can see. A criminal group identifies the names on the list of participants and beats you up. 164 4.0% 0.03955620
14 In a messaging app, you tell a colleague about how your anxiety disorder affects your home office efficiency. One of your colleagues takes a screenshot of the chat and sends it to your boss, resulting in a reduced position and salary. 159 3.8% 0.03835022
15 A criminal hacker gets hold of information about your health and threatens to publish the fact that you have a serious hereditary disease. You feel helpless and don't know how to avoid such disclosure. 162 3.9% 0.03907381
16 You change your marital status on Facebook and tag your same-sex boyfriend/girlfriend. One of your friends on Facebook has strong opinions about homosexuality and hits you the next time you meet them in the street. 138 3.3% 0.03328509
17 An advertising agency exploits a close-up of you in its advertising campaign. You did not want that to happen and become very upset. 148 3.6% 0.03569706
18 Criminal hackers get hold of information indicating that you have a sexually transmitted disease. They threaten to share this information if you do not pay NOK 10,000. You pay. 156 3.8% 0.03762663
19 You feel a lump on your neck and search for information about it online. In order to read the information you have to consent to cookies. Later on you are swamped with advertisements for cancer treatment, which makes you makes you stressed about the lump on your neck. 174 4.2% 0.04196816
20 You share your location on social media, which leads to your ex-boyfriend/girlfriend seeking you out. Your ex-boyfriend/girlfriend is aggressive and you twist your ankle as you are running away from the place. 145 3.5% 0.03497347
21 You share your location on social media showing that you are away on holiday. A burglar sees this and breaks into your house. You return home early from your holiday and are attacked and injured by the burglar. 148 3.6% 0.03569706
22 You lend a streaming service to a friend. The friend concerned spends NOK 500 on purchasing films and the money will be deducted from your bank account. 167 4.0% 0.04027979
23 You enter your address on a fitness app. Without your consent, the company sends you a free supply of dietary supplements. You take three of them, resulting in nausea and vomiting for three days. 135 3.3% 0.03256151
24 Based on identifying information that you have shared on your open social media account, someone creates an account pretending to be you. You are desperate and don't know what to do about it. 150 3.6% 0.03617945
25 You tell a friend that you/your partner is pregnant and that person tags you in social media pregnancy posts. This causes a lot of speculation among friends and family, resulting in stress. 158 3.8% 0.03810902
26 You share your sexual preferences with a friend on a messaging app. A criminal hacks the app and threatens to share the messages unless you pay NOK 10,000. You pay. 167 4.0% 0.04027979
27 A criminal hacks the online pharmaceuticals system, gains access to your prescriptions and collects your medication. This results in you being unable to take your medication in time and you become seriously ill. 160 3.9% 0.03859141
Sysmiss 6014 NA


r24_tesce


Variable label: l[r24_tesce_ran]: Imagine that you are the person in the description. How negative would it be if that happened to you?
Pre-question text:

I[r24_tesce_ran]

Imagine that you are the person in the description:
Literal question: How negative would it be if that happened to you?
Technical description: [Asked if r24_panel = 3]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:10160] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 0 - (0) Not at all negative 97 2.3% 0.02296945
1 1 52 1.2% 0.01231352
2 2 94 2.2% 0.02225906
3 3 111 2.6% 0.02628463
4 4 80 1.9% 0.01894388
5 5 235 5.6% 0.05564764
6 6 172 4.1% 0.04072934
7 7 336 8.0% 0.07956429
8 8 631 14.9% 0.14941984
9 9 489 11.6% 0.11579446
10 10 - Very negative (10) 1793 42.5% 0.42457968
97 Not answered 133 3.1% 0.03149420
98 Not asked 5937 NA


r24_avslutt


Variable label: Closing comments
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:10160] [Range:-]



r24_P1


Variable label: Gender
Technical attributes: [Question type: -] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Male 5206 51.2% 0.5124016
2 Female 4954 48.8% 0.4875984


r24_P2


Variable label: Region
Technical attributes: [Question type: -] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Oslo 1610 15.8% 0.15846457
2 Østlandet 3736 36.8% 0.36771654
3 Sørlandet 504 5.0% 0.04960630
4 Vestlandet 2787 27.4% 0.27431102
5 Trøndelag 785 7.7% 0.07726378
6 Nord-Norge 738 7.3% 0.07263780


r24_P3


Variable label: County
Technical attributes: [Question type: -] [Format:numeric] [Valid:10160] [Invalid:0] [Range:3-54]

Value Label Cases Percentage
3 Oslo 1610 15.8% 0.15846457
11 Rogaland 943 9.3% 0.09281496
15 Møre og Romsdal 424 4.2% 0.04173228
18 Nordland 355 3.5% 0.03494094
30 Viken 2363 23.3% 0.23257874
34 Innlandet 582 5.7% 0.05728346
38 Vestfold og Telemark 791 7.8% 0.07785433
42 Agder 504 5.0% 0.04960630
46 Vestland 1420 14.0% 0.13976378
50 Trøndelag 785 7.7% 0.07726378
54 Troms og Finnmark 383 3.8% 0.03769685


r24_P3_2


Variable label: Constituencies parliament election 2021
Technical attributes: [Question type: -] [Format:numeric] [Valid:10139] [Invalid:21] [Range:1-19]

Value Label Cases Percentage
3 Østfold 489 4.8% 0.048229608
1 Akershus 1429 14.1% 0.140940921
2 Oslo 1609 15.9% 0.158694151
5 Hedmark 310 3.1% 0.030575007
6 Oppland 270 2.7% 0.026629845
7 Buskerud 441 4.3% 0.043495414
4 Vestfold 507 5.0% 0.050004931
8 Telemark 282 2.8% 0.027813394
10 Aust-Agder 184 1.8% 0.018147746
9 Vest-Agder 318 3.1% 0.031364040
11 Rogaland 941 9.3% 0.092809942
12 Hordaland 1248 12.3% 0.123089062
13 Sogn og Fjordane 168 1.7% 0.016569681
14 Møre og Romsdal 424 4.2% 0.041818720
16 Sør-Trøndelag 629 6.2% 0.062037676
15 Nord-Trøndelag 153 1.5% 0.015090246
17 Nordland 354 3.5% 0.034914686
18 Troms 284 2.8% 0.028010652
19 Finnmark 99 1.0% 0.009764277
Sysmiss 21 NA


r24_P4_1


Variable label: Highest completed education
Technical attributes: [Question type: -] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 No education/elementary school 471 4.6% 0.04635827
2 Upper secondary education 3017 29.7% 0.29694882
3 University/University college 6497 63.9% 0.63946850
97 Not answered 175 1.7% 0.01722441


r24_P4_2


Variable label: Highest completed education
Technical attributes: [Question type: -] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-12]

Value Label Cases Percentage
1 No completed education 22 0.2% 0.002165354
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) 449 4.4% 0.044192913
3 Secondary education-general studies/programme for general studies, one-year supplementary study for university and college admission certification (VK2, VG3, High School) 907 8.9% 0.089271654
4 Secondary education-vocational line of study/education programme (VK2, VK3, VG3, apprenticeship examination, apprentices’ final exam ) 1172 11.5% 0.115354331
5 Diploma from supplementary programme for general university and college admissions certification (tertiary vocational education, vocational technical college) 937 9.2% 0.092224409
6 University/College, less than 3 years, but at least 2 years (university college graduate 2 and 2½ years) 827 8.1% 0.081397638
7 College-3-4 year education (Bachelor-, cand.mag., teacher training college, school of nursing, preschool teacher, engineer, business graduate, etc.) 2136 21.0% 0.210236220
8 University-3-4 year education (Bachelor, cand.mag.) 729 7.2% 0.071751969
9 College-5-6 year education (Master, major) 742 7.3% 0.073031496
10 University 5-6 year education (Master, majors (longer professional education (MA in Theology., MA in Psychology., Doctor of Medicine, Doctor of Veterinary Medicine, chartered engineer, graduate in architecture, Master of Science in Business and Economic 1793 17.6% 0.176476378
11 Researcher level (Doctorate, Ph.d.) 270 2.7% 0.026574803
12 None of the above (please enter): 125 1.2% 0.012303150
97 Not answered 51 0.5% 0.005019685


r24_P5_1


Variable label: Year of birth
Technical attributes: [Question type: -] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1939 or earlier 241 2.4% 0.02372047
2 1940-1949 1705 16.8% 0.16781496
3 1950-1959 2635 25.9% 0.25935039
4 1960-1969 2287 22.5% 0.22509843
5 1970-1979 1549 15.2% 0.15246063
6 1980-1989 1026 10.1% 0.10098425
7 1990 or later 717 7.1% 0.07057087


r24_P5_2


Variable label: Year of birth
Technical attributes: [Question type: -] [Format:numeric] [Valid:10160] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 1959 or earlier 4581 45.1% 0.45088583
2 1960-1989 4862 47.9% 0.47854331
3 1990 or later 717 7.1% 0.07057087


r24_Weight1_stratapop


Variable label: Indicates the proportion size of strata in the population. Strata constructed with P1, P2, and age
Technical description: [Can be used for calculating custom weights. Please see documentation report.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:10160] [Invalid:0] [Range:0-0]



r24_Weight1


Variable label: Weight based on variables P1, P2, and age. See documentation report.
Technical attributes: [Question type: -] [Format:numeric] [Valid:10160] [Invalid:0] [Range:0-13]



r24_Weight2_stratapop


Variable label: Indicates the proportion size of strata in the population. Strata constructed with P1, P2, P4_1, and age
Technical description: [Can be used for calculating custom weights. Please see documentation report.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:9985] [Invalid:175] [Range:0-0]



r24_Weight2


Variable label: Weight based on variables P1, P2, P4_1, and age. See documentation report.
Technical attributes: [Question type: -] [Format:numeric] [Valid:10160] [Invalid:0] [Range:0-45]



r24_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. Similiar to Weight2 only with capped weight value (x is >= .2 and x <= 5).
Technical attributes: [Question type: -] [Format:numeric] [Valid:10160] [Invalid:0] [Range:0-5]