Codebook

Norwegian Citizen Panel

Round 12

v-101 - 2020-08-28









Produced by ideas2evidence










Citation

Primary investigators

Name Affiliation
Elisabeth Ivarsflaten Coordinator, University of Bergen
Stefan Dahlberg, Erla Løvseth, Sveinung Arnesen, Yvette Peters, Erik Knudsen, Lise Bjånesøy, Susanne Bygnes, Endre Tvinnereim, Gisela Böhm, Kristine Bærøe, Cornelius Cappelen, and Marta Eidheim Scientific team, University of Bergen and UNI Research Rokkan Centre

Producers

Name Affiliation Role
Asle Høgestøl ideas2evidence Coordinator
Øivind Skjervheim ideas2evidence Coordinator
Olav Bjørnebekk ideas2evidence Project Team Member
Jostein Ryssevik 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 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
Univers: Norwegian Citizens above the age of 18.

Methodology

Sampling procedure

Members of the Norwegian Citizen Panel have been recruited in four waves, wave 1, wave 3, wave 8 and wave 11. 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, 4245 new members were recruited (see documentation from wave 8). In wave 11, 2069 panel members were recruited (see documentation from wave 11).

In wave 1 and 3 a gross sample of 25 000 individuals was randomly drawn from the Norwegian National Population Registry. The sampling procedure of wave 8 equals that of wave 1 and 3, but with a gross sample of 22 000 individuals. In wave 11, a corresponding gross sample of 14 000 people was drawn.

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.

14 000 individuals over the age of 18 were randomly drawn from the register. The extracted data was a) last name, b) first name, c) address, d) gender, and e) age. 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 the Documentation Report from Wave 11. The report is available here: http://digsscore.uib.no/download-data-and-documentation

In wave 12, emails were sent out on June 5, 2018.

E-mail with reminder was sent out three times, June 11, June 15 and June 20, 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 12 ended June 25th.

Weighting

To compensate for the 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 stratums 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. 3.3 percent of the net sample did not answer this question. Because of this, two different weights have been calculated:

When applied, both weights will provide a weighted N equal to the number of cases in the dataset.

We will strongly recommend using weight 2 in any statistical analysis, as this weight provides the most accurate compensation for the various sources of bias in the net sample.

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


Change Log

Version Release date / Date changed Variable Changes and notes
v-101 2020-08-28 NA Revised release of round 12
NA 2020-08-18 r12arbeidolje_2_1 Retracted data due to privacy concerns
v-101 2020-06-15 NA Revised release of round 12
NA 2019-03-26 r12km1 Added anonymized data. Available on request.
NA 2019-03-26 r12km2 Added anonymized data. Available on request.
NA 2019-02-18 r12polkom1 Added anonymized data. Available on request.
NA 2019-01-21 r12meme9 Added anonymized data. Available on request.
NA 2019-01-20 r12arbeid_kodet New variable based on r12arbeid.
NA 2019-01-11 r12kreft Added anonymized data. Available on request.
v-100 2018-06-28 NA Initial release of round 12


Dataset contents

File name Norwegian Citizen Panel - round 12 - v-101.sav
# Cases 7193
# Variables 402


Variable Documentation

responseid


Variable label: responseid
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12group


Variable label: [Subgroup in wave 12. Randomized. ]
Technical description: [Subgroup in wave 12. Randomized. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 g1 1441 20% 0.2003337
2 g2 1386 19.3% 0.1926873
3 g3 1416 19.7% 0.1968581
4 g4 1457 20.3% 0.2025580
5 g5 1493 20.8% 0.2075629


r12interview_start


Variable label: [Date and time of when the respondentent first opened the questionnaire. Excel-format. ]
Technical description: [Date and time of when the respondentent first opened the questionnaire. Excel-format. ]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12interview_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: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12rekruttert


Variable label: [The wave the respondent was recruited. ]
Technical description: [The wave the respondent was recruited. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Wave 1 1761 24.5% 0.2448214
2 Wave 3 1954 27.2% 0.2716530
3 Wave 8 2040 28.4% 0.2836091
4 Wave 11 1438 20% 0.1999166


r12browsertype


Variable label: [Browertype used by respondent ]
Technical description: [Browertype used by respondent ]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12browserversion


Variable label: [Browser version used by respondent ]
Technical description: [Browser version used by respondent ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:296] [Range:0-68]



r12mobil


Variable label: [Determines if the respondents uses mobile ]
Technical description: [Determines if the respondents uses mobile ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
0 other 4554 63.3% 0.6331155
1 mobile 2639 36.7% 0.3668845


r12opplosning


Variable label: [Screen resolution of the applied device ]
Technical description: [Screen resolution of the applied device ]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12enhetstype


Variable label: [Determines respondents device type. ]
Technical description: [Determines respondents device type. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 PC 4663 64.8% 0.648269151
2 Touch 2509 34.9% 0.348811344
3 Generic 21 0.3% 0.002919505


r12advancedwifeaturesenabled


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: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12getrenderingmode


Variable label: [Detects the browsers rendering mode ]
Technical description: [Detects the browsers rendering mode ]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12polkom1_filter


Variable label: [Filter variable for r12polkom1. If r12group = 4 and rekruttert = 4, the respondents are randomized into two groups. If = 1 they get r12polkom1, otherwise r12polkom15. ]
Technical description: [Filter variable for r12polkom1. If r12group = 4 and rekruttert = 4, the respondents are randomized into two groups. If = 1 they get r12polkom1, otherwise r12polkom15. ]
Technical attributes: [Format:numeric] [Valid:294] [Invalid:6899] [Range:0-1]

Value Label Cases Percentage
0 Gets R12POLKOM15 142 48.3% 0.4829932
1 Gets R12POLKOM1 152 51.7% 0.5170068
Sysmiss 6899 NA


r12polkom1


Variable label: Open: What does it mean to “trust the media”. [Data withheld for the sake of anonymity]
Pre-question text: People often talk about “trusting the media”.
Literal question: In your own words, explain what you think it means to trust the media.
Post-question: Please write down the first thing you think of. All replies would be welcome, preferably a couple of sentences, or just a few words if you would prefer.
Technical description: [Asked if r12group = 1 and rekruttert = 4 or r12group = 5 and rekruttert = 4 or r12polkom_filter = 1 ] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12polkom15_ran


Variable label: [Randomize if r12group = 2 or 4 and r12polkom1_filter is not equal to 1. Randomly selects r12polkom15a, b, c, d, e or f]
Technical description: [Randomize if r12group = 2 or 4 and r12polkom1_filter is not equal to 1. Randomly selects r12polkom15a, b, c, d, e or f]
Technical attributes: [Format:numeric] [Valid:2692] [Invalid:4501] [Range:1-6]

Value Label Cases Percentage
1 R12POLKOM15A 453 16.8% 0.1682764
2 R12POLKOM15B 461 17.1% 0.1712481
3 R12POLKOM15C 430 16% 0.1597325
4 R12POLKOM15D 452 16.8% 0.1679049
5 R12POLKOM15E 452 16.8% 0.1679049
6 R12POLKOM15F 444 16.5% 0.1649331
Sysmiss 4501 NA


r12polkom15a


Variable label: Think when heard or read “environmental problems” [Large textbox. Variation 1 of introduction text] [Data withheld for the sake of anonymity]
Literal question: What do you think of when you hear or read the term “environmental problems”?
Post-question: Please write down the first thing you think of. All types of responses are welcome.
Technical description: [Asked if r12group = 2 or 4 and r12polkom1_filter is not equal to 1 and r12polkom15_ran = 1 ] [Large textbox. Variation 1 of introduction text] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12polkom15b


Variable label: Think when heard or read “environmental problems” [Large textbox. Variation 2 of introduction text] [Data withheld for the sake of anonymity]
Literal question: What do you think of when you hear or read the term “environmental problems”?
Post-question: Please write down the first thing you think of. All replies would be welcome, preferably a couple of sentences, or just a few words if you would prefer.
Technical description: [Asked if r12group = 2 or 4 and r12polkom1_filter is not equal to 1 and r12polkom15_ran = 2 ] [Large textbox. Variation 2 of introduction text] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12polkom15c


Variable label: Think when heard or read “environmental problems” [Large textbox. Variation 3 of introduction text] [Data withheld for the sake of anonymity]
Literal question: What do you think of when you hear or read the term “environmental problems”?
Post-question: We ask you to spend a little while thinking about this question. Then we would like to ask you to write a few sentences about what you think is important when it comes to environmental problems. All types of responses are welcome.
Technical description: [Asked if r12group = 2 or 4 and r12polkom1_filter is not equal to 1 and r12polkom15_ran = 3 ] [Large textbox. Variation 3 of introduction text] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12polkom15d


Variable label: Think when heard or read “environmental problems” [Small textbox. Variation 1 of introduction text] [Data withheld for the sake of anonymity]
Literal question: What do you think of when you hear or read the term “environmental problems”?
Post-question: Please write down the first thing you think of. All types of responses are welcome.
Technical description: [Asked if r12group = 2 or 4 and r12polkom1_filter is not equal to 1 and r12polkom15_ran = 4 ] [Small textbox. Variation 1 of introduction text] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12polkom15e


Variable label: Think when heard or read “environmental problems” [Small textbox. Variation 2 of introduction text] [Data withheld for the sake of anonymity]
Literal question: What do you think of when you hear or read the term “environmental problems”?
Post-question: Please write down the first thing you think of. All replies would be welcome, preferably a couple of sentences, or just a few words if you would prefer.
Technical description: [Asked if r12group = 2 or 4 and r12polkom1_filter is not equal to 1 and r12polkom15_ran = 5 ] [Small textbox. Variation 2 of introduction text] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12polkom15f


Variable label: Think when heard or read “environmental problems” [Small textbox. Variation 3 of introduction text] [Data withheld for the sake of anonymity]
Literal question: What do you think of when you hear or read the term “environmental problems”?
Post-question: We ask you to spend a little while thinking about this question. Then we would like to ask you to write a few sentences about what you think is important when it comes to environmental problems. All types of responses are welcome.
Technical description: [Asked if r12group = 2 or 4 and r12polkom1_filter is not equal to 1 and r12polkom15_ran = 6 ] [Small textbox. Variation 3 of introduction text] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12helse1


Variable label: How is your health now?
Literal question: How is your health now?
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Very good 428 29.7% 0.297015961
2 Good 740 51.4% 0.513532269
3 Not that good 247 17.1% 0.171408744
4 Poor 20 1.4% 0.013879251
97 Not answered 6 0.4% 0.004163775
98 Not asked 5752 NA


r12helse2


Variable label: How satisfied with life now?
Literal question: How satisfied are you with life now?
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Very satisfied 460 31.9% 0.319222762
2 Satisfied 778 54% 0.539902845
3 Not entirely satisfied 173 12% 0.120055517
4 Not satisfied 23 1.6% 0.015961138
97 Not answered 7 0.5% 0.004857738
98 Not asked 5752 NA


r12helse3_ran


Variable label: [Randomizes if r12group = 1. Randomly selects either r12helse3_1 or r12helse3_2]
Technical description: [Randomizes if r12group = 1. Randomly selects either r12helse3_1 or r12helse3_2]
Technical attributes: [Format:numeric] [Valid:1441] [Invalid:5752] [Range:1-2]

Value Label Cases Percentage
1 r12helse3_1 725 50.3% 0.5031228
2 r12helse3_2 716 49.7% 0.4968772
Sysmiss 5752 NA


r12helse3_1


Variable label: All norwegian citizens have equal access to government health services.
Pre-question text: Under Norwegian law, the goal of the public health service is for everyone to have “equal access to good quality services”. To what extent do you agree with the following statements?
Literal question: All Norwegian citizens do in fact have equal access to health services from the government
Technical description: [Asked if r12group = 1 and r12helse3_ran = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 119 16.4% 0.164137931
2 Agree 297 41% 0.409655172
3 Agree somewhat 137 18.9% 0.188965517
4 Neither agree nor disagree 26 3.6% 0.035862069
5 Disagree somewhat 93 12.8% 0.128275862
6 Disagree 38 5.2% 0.052413793
7 Strongly disagree 11 1.5% 0.015172414
97 Not answered 4 0.6% 0.005517241
98 Not asked 6468 NA


r12helse3_2


Variable label: All norwegian citizens have same opportunity to get health care safeguarded by public health service
Pre-question text: Under Norwegian law, the goal of the public health service is for everyone to have “equal access to good quality services”. To what extent do you agree with the following statements?
Literal question: All Norwegian citizens have the same opportunity to have their health care needs safeguarded by the public health service
Technical description: [Asked if r12group = 1 and r12helse3_ran = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 135 18.9% 0.188547486
2 Agree 301 42% 0.420391061
3 Agree somewhat 143 20% 0.199720670
4 Neither agree nor disagree 20 2.8% 0.027932961
5 Disagree somewhat 68 9.5% 0.094972067
6 Disagree 27 3.8% 0.037709497
7 Strongly disagree 19 2.7% 0.026536313
97 Not answered 3 0.4% 0.004189944
98 Not asked 6477 NA


r12helse3_3


Variable label: The government offers good-quality health services.
Pre-question text: Under Norwegian law, the goal of the public health service is for everyone to have “equal access to good quality services”. To what extent do you agree with the following statements?
Literal question: The government offers good-quality health services
Technical description: [Spurt dersom r12group = 1. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 227 15.8% 0.157529493
2 Agree 767 53.2% 0.532269257
3 Agree somewhat 278 19.3% 0.192921582
4 Neither agree nor disagree 54 3.7% 0.037473976
5 Disagree somewhat 74 5.1% 0.051353227
6 Disagree 23 1.6% 0.015961138
7 Strongly disagree 8 0.6% 0.005551700
97 Not answered 10 0.7% 0.006939625
98 Not asked 5752 NA


r12helse4_1


Variable label: Problems paying for health or dental care: Consultation/treatment GP.
Pre-question text: Have you had problems paying for health or dental care during the past year?
Literal question: Yes, consultation/treatment at GP
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Yes, consultation/treatment at GP 46 3.2% 0.03192228
97 Not answered 0 0% 0.00000000
98 Not asked 5752 NA
0 1395 96.8% 0.96807772


r12helse4_2


Variable label: Problems paying for health or dental care: Consultation/treatment dentist.
Pre-question text: Have you had problems paying for health or dental care during the past year?
Literal question: Yes, consultation/treatment at dentist
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Yes, consultation/treatment at dentist 137 9.5% 0.09507287
97 Not answered 0 0% 0.00000000
98 Not asked 5752 NA
0 1304 90.5% 0.90492713


r12helse4_3


Variable label: Problems paying for health or dental care: Medicines recommended/prescribed by healthcare professional.
Pre-question text: Have you had problems paying for health or dental care during the past year?
Literal question: Yes, medicines recommended or prescribed by healthcare professional you have been in contact with
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Yes, medicines recommended or prescribed by healthcare professional you have been in contact with 36 2.5% 0.02498265
97 Not answered 0 0% 0.00000000
98 Not asked 5752 NA
0 1405 97.5% 0.97501735


r12helse4_4


Variable label: Problems paying for health or dental care: Referred physiotherapist, choripractor, psychologist, psychiatrist.
Pre-question text: Have you had problems paying for health or dental care during the past year?
Literal question: Yes, treatment (physiotherapist/physiotherapy, chiropractor, psychologist, psychiatrist, etc.) you have been referred to
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Yes, treatment (physiotherapist/physiotherapy, chiropractor, psychologist, psychiatrist, etc.) you have been referred to 48 3.3% 0.0333102
97 Not answered 0 0% 0.0000000
98 Not asked 5752 NA
0 1393 96.7% 0.9666898


r12helse4_5


Variable label: Problems paying for health or dental care: Non-referred physiotherapist, choripractor, psychologist, psychiatrist.
Pre-question text: Have you had problems paying for health or dental care during the past year?
Literal question: Yes, treatment (at physiotherapist/physiotherapy, chiropractor, psychologist, psychiatrist, etc.) you have not been referred to
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Yes, treatment (at physiotherapist/physiotherapy, chiropractor, psychologist, psychiatrist, etc.) you have not been referred to 34 2.4% 0.02359473
97 Not answered 0 0% 0.00000000
98 Not asked 5752 NA
0 1407 97.6% 0.97640527


r12helse4_6


Variable label: Problems paying for health or dental care: Non-prescription medication as desired without contact with healthcare professionals.
Pre-question text: Have you had problems paying for health or dental care during the past year?
Literal question: Yes, non-prescription medications as desired, without having been in contact with healthcare professionals
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Yes, non-prescription medications as desired, without having been in contact with healthcare professionals 14 1% 0.009715475
97 Not answered 0 0% 0.000000000
98 Not asked 5752 NA
0 1427 99% 0.990284525


r12helse4_7


Variable label: Problems paying for health or dental care: Acupuncture, homeopathy, osteopathy or other alternative therapies.
Pre-question text: Have you had problems paying for health or dental care during the past year?
Literal question: Yes, acupuncture, homeopathy, osteopathy or other forms of alternative therapies
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Yes, acupuncture, homeopathy, osteopathy or other forms of alternative therapies 15 1% 0.01040944
97 Not answered 0 0% 0.00000000
98 Not asked 5752 NA
0 1426 99% 0.98959056


r12helse4_8


Variable label: Problems paying for health or dental care: Other.
Pre-question text: Have you had problems paying for health or dental care during the past year?
Literal question: Yes, other (fill out)
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Yes, other (fill out) 17 1.2% 0.01179736
97 Not answered 0 0% 0.00000000
98 Not asked 5752 NA
0 1424 98.8% 0.98820264


r12helse4_8_other


Variable label: Other[r12helse4_8] [Data withheld for the sake of anonymity].
Pre-question text: Have you had problems paying for health or dental care during the past year?
Literal question: Yes, other (fill out)
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 1 ] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12helse4_9


Variable label: Problems paying for health or dental care: No.
Pre-question text: Have you had problems paying for health or dental care during the past year?
Literal question: No
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 No 1238 85.9% 0.8591256
97 Not answered 0 0% 0.0000000
98 Not asked 5752 NA
0 203 14.1% 0.1408744


r12kreft1


Variable label: Open: Heard about what types of cancer. [Data withheld for the sake of anonymity]
Literal question:

What types of cancer have you heard of?

If you would like more information about cancer, go to: https://kreftforeningen.no/om-kreft/
Post-question: Please write down all the ones you can think of.
Technical description: [Asked if r12group = 1 ] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12kreft2_1


Variable label: Information about cancer from: Newspapers and magazines.
Pre-question text: Where do you get your information about cancer?
Literal question: Newspapers and magazines
Post-question: Please tick your three main sources.
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Newspapers and magazines 592 41.1% 0.4108258
97 Not answered 0 0% 0.0000000
98 Not asked 5752 NA
0 849 58.9% 0.5891742


r12kreft2_2


Variable label: Information about cancer from: Books and movies.
Pre-question text: Where do you get your information about cancer?
Literal question: Books and movies
Post-question: Please tick your three main sources.
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Books and movies 69 4.8% 0.04788341
97 Not answered 0 0% 0.00000000
98 Not asked 5752 NA
0 1372 95.2% 0.95211659


r12kreft2_3


Variable label: Information about cancer from: Friends, family or aquaintances who have had cancer.
Pre-question text: Where do you get your information about cancer?
Literal question: Friends, family or acquaintances who have had cancer
Post-question: Please tick your three main sources.
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Friends, family or acquaintances who have had cancer 720 50% 0.499653
97 Not answered 0 0% 0.000000
98 Not asked 5752 NA
0 721 50% 0.500347


r12kreft2_4


Variable label: Information about cancer from: Health professionals.
Pre-question text: Where do you get your information about cancer?
Literal question: Health professionals
Post-question: Please tick your three main sources.
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Health professionals 312 21.7% 0.2165163
97 Not answered 0 0% 0.0000000
98 Not asked 5752 NA
0 1129 78.3% 0.7834837


r12kreft2_5


Variable label: Information about cancer from: Information brochures.
Pre-question text: Where do you get your information about cancer?
Literal question: Information brochures
Post-question: Please tick your three main sources.
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Information brochures 206 14.3% 0.1429563
97 Not answered 0 0% 0.0000000
98 Not asked 5752 NA
0 1235 85.7% 0.8570437


r12kreft2_6


Variable label: Information about cancer from: Work and education.
Pre-question text: Where do you get your information about cancer?
Literal question: Work and education
Post-question: Please tick your three main sources.
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Work and education 246 17.1% 0.1707148
97 Not answered 0 0% 0.0000000
98 Not asked 5752 NA
0 1195 82.9% 0.8292852


r12kreft2_7


Variable label: Information about cancer from: TV and radio.
Pre-question text: Where do you get your information about cancer?
Literal question: TV and radio
Post-question: Please tick your three main sources.
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 TV and radio 588 40.8% 0.40805
97 Not answered 0 0% 0.00000
98 Not asked 5752 NA
0 853 59.2% 0.59195


r12kreft2_8


Variable label: Information about cancer from: Social media and blogs.
Pre-question text: Where do you get your information about cancer?
Literal question: Social media and blogs
Post-question: Please tick your three main sources.
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Sosiale medier og blogg 167 11.6% 0.1158917
97 Not answered 0 0% 0.0000000
98 Not asked 5752 NA
0 1274 88.4% 0.8841083


r12kreft2_9


Variable label: Information about cancer from: Searching the internet.
Pre-question text: Where do you get your information about cancer?
Literal question: Searching the internet
Post-question: Please tick your three main sources.
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Searching the internet 419 29.1% 0.2907703
97 Not answered 0 0% 0.0000000
98 Not asked 5752 NA
0 1022 70.9% 0.7092297


r12kreft2_10


Variable label: Information about cancer from: Friends, family or aquaintances.
Pre-question text: Where do you get your information about cancer?
Literal question: Friends, family or acquaintances
Post-question: Please tick your three main sources.
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Friends, family or acquaintances 448 31.1% 0.3108952
97 Not answered 0 0% 0.0000000
98 Not asked 5752 NA
0 993 68.9% 0.6891048


r12kreft2_11


Variable label: Information about cancer from: Other.
Pre-question text: Where do you get your information about cancer?
Literal question: Other (fill out)
Post-question: Please tick your three main sources.
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Other (fill out) 40 2.8% 0.0277585
97 Not answered 0 0% 0.0000000
98 Not asked 5752 NA
0 1401 97.2% 0.9722415


r12kreft2_11_other


Variable label: Other[r12kref2_11] [Data withheld for the sake of anonymity]
Pre-question text: Where do you get your information about cancer?
Literal question: Other (fill out)
Post-question: Please tick your three main sources.
Technical description: [Asked if r12group = 1 ] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12kreft2_12


Variable label: Information about cancer from: No knowledge about cancer.
Pre-question text: Where do you get your information about cancer?
Literal question: I don’t know anything about cancer
Post-question: Please tick your three main sources.
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 I don’t know anything about cancer 17 1.2% 0.01179736
97 Not answered 0 0% 0.00000000
98 Not asked 5752 NA
0 1424 98.8% 0.98820264


r12kreft2_click


Variable label: [Registers if the respondent clicked the link to the Norwegian Cancer Society (“Kreftforeningen”) website (only desktop users are registered, not mobile users), if r12group = 1 ]
Literal question: If you would like more information about cancer, go to: https://kreftforeningen.no/om-kreft/
Technical description: [Registers if the respondent clicked the link to the Norwegian Cancer Society (“Kreftforeningen”) website (only desktop users are registered, not mobile users), if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:8] [Invalid:7185] [Range:1-1]

Value Label Cases Percentage
1 Clicked the link 8 100% 1
Sysmiss 7185 NA


r12polkom5_ran


Variable label: [Randomizes if r12group = 1. Randomly selects r12polkom[5/6/7]a, b or c. ]
Technical description: [Randomizes if r12group = 1. Randomly selects r12polkom[5/6/7]a, b or c. ]
Technical attributes: [Format:numeric] [Valid:1440] [Invalid:5753] [Range:1-3]

Value Label Cases Percentage
1 R12POLKOM5A 502 34.9% 0.3486111
2 R12POLKOM5B 474 32.9% 0.3291667
3 R12POLKOM5C 464 32.2% 0.3222222
Sysmiss 5753 NA


r12polkom5a


Variable label: Immigration-positive post: How likely to find in media you normally use.
Pre-question text: Below you can read the introduction to a hypothetical op-ed post in a Norwegian online newspaper. Please read the post carefully and answer the questions below. Scroll down the screen to see all three questions.
Literal question:

Immigration enriches our society

The recent influx of immigrants to Norway makes our democratic society more unprejudiced and tolerant.

If we give immigrants the right opportunities and help them integrate into Norwegian society, they will enrich our culture and our values.

How likely or unlikely would it be for you to come across such a post in the media you normally use?
Technical description: [Asked if r12group = 1 and r12polkom5_ran = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Highly likely 69 13.7% 0.137450199
2 Likely 184 36.7% 0.366533865
3 Somewhat likely 139 27.7% 0.276892430
4 Neither likely nor unlikely 55 11% 0.109561753
5 Unlikely 33 6.6% 0.065737052
6 Somewhat unlikely 9 1.8% 0.017928287
7 Highly unlikely 8 1.6% 0.015936255
97 Not answered 5 1% 0.009960159
98 Not asked 6691 NA


r12polkom6a


Variable label: Immigration-positive post: How likely to read.
Pre-question text: Below you can read the introduction to a hypothetical op-ed post in a Norwegian online newspaper. Please read the post carefully and answer the questions below. Scroll down the screen to see all three questions.
Literal question: How likely or unlikely would it be for you to read such a post if you had come across it in the media you normally use?
Technical description: [Asked if r12group = 1 and r12polkom5_ran = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Highly likely 91 18.1% 0.181274900
2 Likely 180 35.9% 0.358565737
3 Somewhat likely 129 25.7% 0.256972112
4 Neither likely nor unlikely 46 9.2% 0.091633466
5 Unlikely 30 6% 0.059760956
6 Somewhat unlikely 10 2% 0.019920319
7 Highly unlikely 13 2.6% 0.025896414
97 Not answered 3 0.6% 0.005976096
98 Not asked 6691 NA


r12polkom7a


Variable label: Immigration-positive post: Thinks immigration to Norway is advantage or disadvantage.
Pre-question text: Below you can read the introduction to a hypothetical op-ed post in a Norwegian online newspaper. Please read the post carefully and answer the questions below. Scroll down the screen to see all three questions.
Literal question: To what degree would you say that the post claims that it is an advantage or disadvantage that immigrants come to Norway to settle here?
Technical description: [Asked if r12group = 1 and r12polkom5_ran = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very great advantage 80 15.9% 0.159362550
2 Great advantage 194 38.6% 0.386454183
3 Slightly advantageous 140 27.9% 0.278884462
4 Neither an advantage nor a disadvantage 50 10% 0.099601594
5 A slight disadvantage 22 4.4% 0.043824701
6 A great disadvantage 7 1.4% 0.013944223
7 Very great disadvantage 5 1% 0.009960159
97 Not answered 4 0.8% 0.007968127
98 Not asked 6691 NA


r12polkom5b


Variable label: Immigration-negative post: How likely to find in media you normally use.
Pre-question text: Below you can read the introduction to a hypothetical op-ed post in a Norwegian online newspaper. Please read the post carefully and answer the questions below. Scroll down the screen to see all three questions.
Literal question:

Immigration threatens our values

The recent influx of immigrants to Norway threatens our culture and values. Our national identity is threatened because foreigners are not willing to integrate.

We should therefore be able to decide who gets to settle here based on how closely aligned they are with our national culture.

How likely or unlikely would it be for you to come across such a post in the media you normally use?
Technical description: [Asked if r12group = 1 and r12polkom5_ran = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Highly likely 80 16.9% 0.168776371
2 Likely 108 22.8% 0.227848101
3 Somewhat likely 111 23.4% 0.234177215
4 Neither likely nor unlikely 58 12.2% 0.122362869
5 Unlikely 54 11.4% 0.113924051
6 Somewhat unlikely 24 5.1% 0.050632911
7 Highly unlikely 35 7.4% 0.073839662
97 Not answered 4 0.8% 0.008438819
98 Not asked 6719 NA


r12polkom6b


Variable label: Immigration-negative post: How likely to read.
Pre-question text: Below you can read the introduction to a hypothetical op-ed post in a Norwegian online newspaper. Please read the post carefully and answer the questions below. Scroll down the screen to see all three questions.
Literal question: How likely or unlikely would it be for you to read such a post if you had come across it in the media you normally use?
Technical description: [Asked if r12group = 1 and r12polkom5_ran = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Highly likely 59 12.4% 0.124472574
2 Likely 118 24.9% 0.248945148
3 Somewhat likely 111 23.4% 0.234177215
4 Neither likely nor unlikely 56 11.8% 0.118143460
5 Unlikely 62 13.1% 0.130801688
6 Somewhat unlikely 32 6.8% 0.067510549
7 Highly unlikely 32 6.8% 0.067510549
97 Not answered 4 0.8% 0.008438819
98 Not asked 6719 NA


r12polkom7b


Variable label: Immigration-negative post: Thinks immigration to Norway is advantage or disadvantage.
Pre-question text: Below you can read the introduction to a hypothetical op-ed post in a Norwegian online newspaper. Please read the post carefully and answer the questions below. Scroll down the screen to see all three questions.
Literal question: To what degree would you say that the post claims that it is an advantage or disadvantage that immigrants come to Norway to settle here?
Technical description: [Asked if r12group = 1 and r12polkom5_ran = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 A very great advantage 1 0.2% 0.002109705
2 A great advantage 14 3% 0.029535865
3 An advantage to some extent 23 4.9% 0.048523207
4 Neither an advantage nor a disadvantage 49 10.3% 0.103375527
5 A disadvantage to some extent 83 17.5% 0.175105485
6 A great disadvantage 168 35.4% 0.354430380
7 A very great disadvantage 131 27.6% 0.276371308
97 Not answered 5 1.1% 0.010548523
98 Not asked 6719 NA


r12polkom5c


Variable label: Immigration-neutral post: How likely to find in media you normally use.
Pre-question text: Below you can read the introduction to a hypothetical op-ed post in a Norwegian online newspaper. Please read the post carefully and answer the questions below. Scroll down the screen to see all three questions.
Literal question:

Does immigration enrich or threaten our society?

The recent influx of immigrants to Norway can threaten our national identity, our culture and our values.

However, with the right tools we can facilitate the integration of immigrants into our society and avoid discriminating against people based on where they come from.

How likely or unlikely would it be for you to come across such a post in the media you normally use?
Technical description: [Asked if r12group = 1 and r12polkom5_ran = 3 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Highly likely 105 22.6% 0.22629310
2 Likely 166 35.8% 0.35775862
3 Somewhat likely 101 21.8% 0.21767241
4 Neither likely nor unlikely 45 9.7% 0.09698276
5 Unlikely 25 5.4% 0.05387931
6 Somewhat unlikely 6 1.3% 0.01293103
7 Highly unlikely 9 1.9% 0.01939655
97 Not answered 7 1.5% 0.01508621
98 Not asked 6729 NA


r12polkom6c


Variable label: Immigration-neutral post: How likely to read.
Pre-question text: Below you can read the introduction to a hypothetical op-ed post in a Norwegian online newspaper. Please read the post carefully and answer the questions below. Scroll down the screen to see all three questions.
Literal question: How likely or unlikely would it be for you to read such a post if you had come across it in the media you normally use?
Technical description: [Asked if r12group = 1 and r12polkom5_ran = 3 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Highly likely 57 12.3% 0.12284483
2 Likely 161 34.7% 0.34698276
3 Somewhat likely 126 27.2% 0.27155172
4 Neither likely nor unlikely 54 11.6% 0.11637931
5 Unlikely 33 7.1% 0.07112069
6 Somewhat unlikely 16 3.4% 0.03448276
7 Highly unlikely 10 2.2% 0.02155172
97 Not answered 7 1.5% 0.01508621
98 Not asked 6729 NA


r12polkom7c


Variable label: Immigration-neutral post: Thinks immigration to Norway is advantage or disadvantage.
Pre-question text: Below you can read the introduction to a hypothetical op-ed post in a Norwegian online newspaper. Please read the post carefully and answer the questions below. Scroll down the screen to see all three questions.
Literal question: To what degree would you say that the post claims that it is an advantage or disadvantage that immigrants come to Norway to settle here?
Technical description: [Asked if r12group = 1 and r12polkom5_ran = 3 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 A very great advantage 9 1.9% 0.01939655
2 A great advantage 31 6.7% 0.06681034
3 An advantage to some extent 105 22.6% 0.22629310
4 Neither an advantage nor a disadvantage 104 22.4% 0.22413793
5 A disadvantage to some extent 136 29.3% 0.29310345
6 A great disadvantage 54 11.6% 0.11637931
7 A very great disadvantage 15 3.2% 0.03232759
97 Not answered 10 2.2% 0.02155172
98 Not asked 6729 NA


r12polkom8


Variable label: How likely to vote in advisory referendum on restricting immigration to Norway.
Pre-question text: Imagine that an advisory referendum on restricting immigration to Norway will be held next Monday.
Literal question: How likely is it that you would vote in such a referendum?
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Highly likely 642 44.6% 0.44552394
2 Likely 340 23.6% 0.23594726
3 Somewhat likely 158 11% 0.10964608
4 Neither likely nor unlikely 115 8% 0.07980569
5 Unlikely 68 4.7% 0.04718945
6 Somewhat unlikely 23 1.6% 0.01596114
7 Highly unlikely 76 5.3% 0.05274115
97 Not answered 19 1.3% 0.01318529
98 Not asked 5752 NA


r12polkom9


Variable label: How would you vote in referendum on restricting immigration to Norway.
Literal question: How would you vote if an advisory referendum on restricting immigration to Norway is held next Monday?
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes, restrict immigration to Norway 746 51.8% 0.5176960
2 No, I don’t support the proposal 623 43.2% 0.4323387
97 Not answered 72 5% 0.0499653
98 Not asked 5752 NA


r12polkom10


Variable label: How likely to vote in parliamentary election.
Literal question: If there was a parliamentary election next Monday, how likely is it that you would vote?
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Highly likely 1119 77.7% 0.776544067
2 Likely 184 12.8% 0.127689105
3 Somewhat likely 37 2.6% 0.025676613
4 Neither likely nor unlikely 23 1.6% 0.015961138
5 Unlikely 16 1.1% 0.011103400
6 Somewhat unlikely 6 0.4% 0.004163775
7 Highly unlikely 33 2.3% 0.022900763
97 Not answered 23 1.6% 0.015961138
98 Not asked 5752 NA


r12pad16_ran


Variable label: [Randomizes if r12group = 1. Randomly selects r12pad16a or r12pad16b ]
Technical description: [Randomizes if r12group = 1. Randomly selects r12pad16a or r12pad16b ]
Technical attributes: [Format:numeric] [Valid:1428] [Invalid:5765] [Range:1-2]

Value Label Cases Percentage
1 Gets R12PAD16A 716 50.1% 0.5014006
2 Gets R12PAD16B 712 49.9% 0.4985994
Sysmiss 5765 NA


r12pad16a


Variable label: Change voting system, easier, harder, or as difficult as today.
Pre-question text:

The Norwegian electoral system encompasses fundamental rules about both the allocation of the seats in the Storting among the political parties and the counties. These rules are laid down in the Constitution, which is difficult to amend.

Constitutional amendments must be submitted to the Storting over the course of the first three periods after an election before they can be adopted following a new parliamentary election and then with a 2/3 majority.
Literal question: Do you think it should be easier, more difficult, or should it be just as difficult as today to change the parliamentary voting system?
Technical description: [Asked if r12group = 1 and r12pad16_ran = 1. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Easier 144 20.1% 0.20111732
2 Same as today 543 75.8% 0.75837989
3 More difficult 20 2.8% 0.02793296
97 Not answered 9 1.3% 0.01256983
98 Not asked 6477 NA


r12pad17_ran


Variable label: [Randomizes if r12group = 1. Randomly selects r12pad17a or r12pad17b]
Technical description: [Randomizes if r12group = 1. Randomly selects r12pad17a or r12pad17b]
Technical attributes: [Format:numeric] [Valid:1428] [Invalid:5765] [Range:1-2]

Value Label Cases Percentage
1 Gets R12PAD17A 690 48.3% 0.4831933
2 Gets R12PAD17B 738 51.7% 0.5168067
Sysmiss 5765 NA


r12pad17a


Variable label: Change voting system according to population: Strong cities, weak districts.
Pre-question text:

In the Norwegian electoral system, the rural areas are safeguarded through higher representation in the Storting compared with the populous areas of the country. The electoral system currently allocates the Storting representatives by county based on the population of the county and the county’s geographical size.

Norway is now debating whether to allocate the number of Storting representatives that will be elected from the different counties solely according to population. Such a change could lead to the more populous parts of the country becoming more strongly represented in the Storting while the rural areas will receive less representation compared with today’s electoral system.
Literal question: How strongly for or against are you to such a proposal to allocate the number of Storting representatives that will be elected from the different counties solely according to population?
Technical description: [Asked if r12group = 1 and r12pad17_ran = 1. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very strongly for 26 3.8% 0.03768116
2 Strongly for 55 8% 0.07971014
3 Somewhat for 105 15.2% 0.15217391
4 Neither for nor against 95 13.8% 0.13768116
5 Somewhat against 146 21.2% 0.21159420
6 Strongly against 145 21% 0.21014493
7 Very strongly against 109 15.8% 0.15797101
97 Not answered 9 1.3% 0.01304348
98 Not asked 6503 NA


r12pad17b


Variable label: Change voting system according to population.
Pre-question text:

In the Norwegian electoral system, the rural areas are safeguarded through higher representation in the Storting compared with the populous areas of the country. The electoral system currently allocates the Storting representatives by county based on the population of the county and the county’s geographical size.

Norway is now debating whether to allocate the number of Storting representatives that will be elected from the different counties solely according to population.
Literal question: How strongly for or against are you to such a proposal to allocate the number of Storting representatives that will be elected from the different counties solely according to population?
Technical description: [Asked if r12group = 1 and r12pad17_ran = 2. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very strongly for 31 4.2% 0.04200542
2 Strongly for 64 8.7% 0.08672087
3 Somewhat for 124 16.8% 0.16802168
4 Neither for nor against 162 22% 0.21951220
5 Somewhat against 131 17.8% 0.17750678
6 Strongly against 126 17.1% 0.17073171
7 Very strongly against 91 12.3% 0.12330623
97 Not answered 9 1.2% 0.01219512
98 Not asked 6455 NA


r12pad18_ran


Variable label: [Randomizes if r12group = 1. Randomly selects r12pad18a, b, c or d]
Technical description: [Randomizes if r12group = 1. Randomly selects r12pad18a, b, c or d]
Technical attributes: [Format:numeric] [Valid:1423] [Invalid:5770] [Range:1-3]

Value Label Cases Percentage
1 Gets R12PAD18A 491 34.5% 0.3450457
2 Gets R12PAD18B 480 33.7% 0.3373155
3 Gets R12PAD18C 452 31.8% 0.3176388
Sysmiss 5770 NA


r12pad18a


Variable label: Change voting system proportionality: Smaller parties stronger.
Pre-question text:

A basic principle in the Norwegian electoral system is that the voters’ votes must count equally regardless of which party the voters voted for in the election.

Some believe that Norway should change its parliamentary voting system to achieve, compared with the current system, greater correspondence between a party’s share of Storting representatives and the number of votes cast for the party in elections. This could mean that the smaller parties will become more strongly represented in the Storting compared with today.
Literal question: How strongly for or opposed are you to such a proposal to change the parliamentary voting system?
Technical description: [Asked if r12group = 1 and r12pad18_ran = 1. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very strongly support 17 3.5% 0.03462322
2 Support 53 10.8% 0.10794297
3 Support somewhat 94 19.1% 0.19144603
4 Neither support nor oppose 132 26.9% 0.26883910
5 Oppose somewhat 93 18.9% 0.18940937
6 Strongly oppose 64 13% 0.13034623
7 Very strongly oppose 33 6.7% 0.06720978
97 Not answered 5 1% 0.01018330
98 Not asked 6702 NA


r12pad18b


Variable label: Change voting system proportionality: Establishing governments capable of governing harder.
Pre-question text:

A basic principle in the Norwegian electoral system is that the voters’ votes must count equally regardless of which party the voters voted for in the election.

Some believe that Norway should change its parliamentary voting system to achieve, compared with the current system, greater correspondence between a party’s share of Storting representatives and the number of votes cast for the party in elections. This could mean that the major parties will receive fewer representatives in the Storting compared with today, and make it more difficult to establish governments capable of governing.
Literal question: How strongly for or opposed are you to such a proposal to change the parliamentary voting system?
Technical description: [Asked if r12group = 1 and r12pad18_ran = 2. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very strongly support 14 2.9% 0.02916667
2 Support 42 8.8% 0.08750000
3 Support somewhat 62 12.9% 0.12916667
4 Neither support nor oppose 125 26% 0.26041667
5 Oppose somewhat 120 25% 0.25000000
6 Strongly oppose 79 16.5% 0.16458333
7 Very strongly oppose 31 6.5% 0.06458333
97 Not answered 7 1.5% 0.01458333
98 Not asked 6713 NA


r12pad18c


Variable label: Change voting system proportionality.
Pre-question text:

A basic principle in the Norwegian electoral system is that the voters’ votes must count equally regardless of which party the voters voted for in the election.

Some believe that Norway should change its parliamentary voting system to achieve, compared with the current system, greater correspondence between a party’s share of Storting representatives and the number of votes cast for the party in elections.
Literal question: How strongly for or opposed are you to such a proposal to change the parliamentary voting system?
Technical description: [Asked if r12group = 1 and r12pad18_ran = 3. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very strongly support 34 7.5% 0.07522124
2 Support 81 17.9% 0.17920354
3 Support somewhat 87 19.2% 0.19247788
4 Neither support nor oppose 113 25% 0.25000000
5 Oppose somewhat 57 12.6% 0.12610619
6 Strongly oppose 48 10.6% 0.10619469
7 Very strongly oppose 20 4.4% 0.04424779
97 Not answered 12 2.7% 0.02654867
98 Not asked 6741 NA


r12pad16b


Variable label: Change voting system, easier, harder or as difficult as today.
Pre-question text:

The Norwegian electoral system encompasses fundamental rules about both the allocation of the seats in the Storting among the political parties and the counties. These rules are laid down in the Constitution, which is difficult to amend.

Constitutional amendments must be submitted to the Storting over the course of the first three periods after an election before they can be adopted following a new parliamentary election and then with a 2/3 majority.
Literal question: Do you think it should be easier, more difficult, or should it be just as difficult as today to change the parliamentary voting system?
Technical description: [Asked if r12group = 1 and r12pad18_ran = 4. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Easier 91 12.8% 0.12780899
2 Same as today 576 80.9% 0.80898876
3 More difficult 29 4.1% 0.04073034
97 Not answered 16 2.2% 0.02247191
98 Not asked 6481 NA


r12pad19_ran


Variable label: [Randomizes if r12group = 1. Randomly selects r12pad19a, b, c or d]
Technical description: [Randomizes if r12group = 1. Randomly selects r12pad19a, b, c or d]
Technical attributes: [Format:numeric] [Valid:1422] [Invalid:5771] [Range:1-4]

Value Label Cases Percentage
1 Gets R12PAD19A 343 24.1% 0.2412096
2 Gets R12PAD19B 369 25.9% 0.2594937
3 Gets R12PAD19C 342 24.1% 0.2405063
4 Gets R12PAD19D 368 25.9% 0.2587904
Sysmiss 5771 NA


r12pad19a


Variable label: Introduce preferential voting: Strengthen voters’ influence.
Pre-question text: Norway is now debating whether to give voters greater influence over which candidates on the parties’ electoral lists are elected to the Storting. This would mean the introduction of preferential voting in parliamentary elections. Such a change will strengthen the voters’ influence over who is elected to the Storting.
Literal question: How strongly for or against are you to such a proposal for preferential voting?
Technical description: [Asked if r12group = 1 and r12pad19_ran = 1. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very strongly for 27 7.9% 0.07871720
2 Strongly for 62 18.1% 0.18075802
3 Somewhat for 134 39.1% 0.39067055
4 Neither for nor against 49 14.3% 0.14285714
5 Somewhat against 36 10.5% 0.10495627
6 Strongly against 17 5% 0.04956268
7 Very strongly against 10 2.9% 0.02915452
97 Not answered 8 2.3% 0.02332362
98 Not asked 6850 NA


r12pad19b


Variable label: Introduce preferential voting: Weaken parties’ influence.
Pre-question text: Norway is now debating whether to give voters greater influence over which candidates on the parties’ electoral lists are elected to the Storting. This would mean the introduction of preferential voting in parliamentary elections. Such a change will weaken the parties’ influence over who is elected to the Storting.
Literal question: How strongly for or against are you to such a proposal for preferential voting?
Technical description: [Asked if r12group = 1 and r12pad19_ran = 2. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very strongly for 20 5.4% 0.05420054
2 Strongly for 43 11.7% 0.11653117
3 Somewhat for 102 27.6% 0.27642276
4 Neither for nor against 86 23.3% 0.23306233
5 Somewhat against 69 18.7% 0.18699187
6 Strongly against 37 10% 0.10027100
7 Very strongly against 8 2.2% 0.02168022
97 Not answered 4 1.1% 0.01084011
98 Not asked 6824 NA


r12pad19c


Variable label: Introduce preferential voting: List changes do not happen now.
Pre-question text: Norway is now debating whether to give voters greater influence over which candidates on the parties’ electoral lists are elected to the Storting. This would mean the introduction of preferential voting in parliamentary elections. Today, voters can change the ballot for parliamentary elections, but over half of a party’s voters must make the same change in order to override the parties’ electoral lists, which has never happened.
Literal question: How strongly for or against are you to such a proposal for preferential voting?
Technical description: [Asked if r12group = 1 and r12pad19_ran = 3. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very strongly for 22 6.4% 0.064327485
2 Strongly for 38 11.1% 0.111111111
3 Somewhat for 111 32.5% 0.324561404
4 Neither for nor against 99 28.9% 0.289473684
5 Somewhat against 41 12% 0.119883041
6 Strongly against 23 6.7% 0.067251462
7 Very strongly against 2 0.6% 0.005847953
97 Not answered 6 1.8% 0.017543860
98 Not asked 6851 NA


r12pad19d


Variable label: Introduce preferential voting.
Pre-question text: Norway is now debating whether to give voters greater influence over which candidates on the parties’ electoral lists are elected to the Storting. This would mean the introduction of preferential voting in parliamentary elections.
Literal question: How strongly for or against are you to such a proposal for preferential voting?
Technical description: [Asked if r12group = 1 and r12pad19_ran = 4. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very strongly for 18 4.9% 0.04891304
2 Strongly for 46 12.5% 0.12500000
3 Somewhat for 116 31.5% 0.31521739
4 Neither for nor against 92 25% 0.25000000
5 Somewhat against 57 15.5% 0.15489130
6 Strongly against 26 7.1% 0.07065217
7 Very strongly against 13 3.5% 0.03532609
97 Not answered 0 0% 0.00000000
98 Not asked 6825 NA


r12polkom3


Variable label: Regularly read items posted in alternative media.
Pre-question text: Websites like Resett, Document.no, Human Rights Service and Breitbart have attracted considerable attention over the past year.
Literal question: Do you regularly read items posted on such websites?
Technical description: [Asked if r12group = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 106 7.4% 0.07356003
2 No 1308 90.8% 0.90770298
97 Not answered 27 1.9% 0.01873699
98 Not asked 5752 NA


r12polkom4a_1


Variable label: Why read alternative media: Editorial news media doesn’t cover issues I am interested in.
Pre-question text: Why do you regularly read items posted on such websites?
Literal question: The editorial news media do not cover the issues I am interested in
Post-question: Tick all that are relevant.
Technical description: [Asked if r12group = 1 and r12polkom3 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 The editorial news media do not cover the issues I am interested in 44 41.5% 0.4150943
97 Not answered 0 0% 0.0000000
98 Not asked 7087 NA
0 62 58.5% 0.5849057


r12polkom4a_2


Variable label: Why read alternative media: Worried about immigration.
Pre-question text: Why do you regularly read items posted on such websites?
Literal question: I am worried about the consequences of immigration and would like more information about this
Post-question: Tick all that are relevant.
Technical description: [Asked if r12group = 1 and r12polkom3 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 I am worried about the consequences of immigration and would like more information about this 50 47.2% 0.4716981
97 Not answered 0 0% 0.0000000
98 Not asked 7087 NA
0 56 52.8% 0.5283019


r12polkom4a_3


Variable label: Why read alternative media: Immigration is a threat to security and Norwegian culture.
Pre-question text: Why do you regularly read items posted on such websites?
Literal question: I think immigration is a threat to national security and Norwegian culture and want more information about this
Post-question: Tick all that are relevant.
Technical description: [Asked if r12group = 1 and r12polkom3 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 I think immigration is a threat to national security and Norwegian culture and want more information about this 39 36.8% 0.3679245
97 Not answered 0 0% 0.0000000
98 Not asked 7087 NA
0 67 63.2% 0.6320755


r12polkom4a_4


Variable label: Why read alternative media: Trust them more than editorial news media.
Pre-question text: Why do you regularly read items posted on such websites?
Literal question: I have more trust in websites such as Document.no, Resett, Human Rights Service (HRS) and Breitbart than editorial news media
Post-question: Tick all that are relevant.
Technical description: [Asked if r12group = 1 and r12polkom3 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 I have more trust in websites such as Document.no, Resett, Human Rights Service (HRS) and Breitbart than editorial news media 34 32.1% 0.3207547
97 Not answered 0 0% 0.0000000
98 Not asked 7087 NA
0 72 67.9% 0.6792453


r12polkom4a_5


Variable label: Why read alternative media: Editorial news media do not represent my views.
Pre-question text: Why do you regularly read items posted on such websites?
Literal question: The editorial news media do not represent my views
Post-question: Tick all that are relevant.
Technical description: [Asked if r12group = 1 and r12polkom3 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 The editorial news media do not represent my views 26 24.5% 0.245283
97 Not answered 0 0% 0.000000
98 Not asked 7087 NA
0 80 75.5% 0.754717


r12polkom4a_6


Variable label: Why read alternative media: Editorial news media hides truth about immigration.
Pre-question text: Why do you regularly read items posted on such websites?
Literal question: The editorial news media try to hide the truth about the consequences of immigration
Post-question: Tick all that are relevant.
Technical description: [Asked if r12group = 1 and r12polkom3 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 The editorial news media try to hide the truth about the consequences of immigration 49 46.2% 0.4622642
97 Not answered 0 0% 0.0000000
98 Not asked 7087 NA
0 57 53.8% 0.5377358


r12polkom4a_7


Variable label: Why read alternative media: Other.
Pre-question text: Why do you regularly read items posted on such websites?
Literal question: Other (please specify)
Post-question: Tick all that are relevant.
Technical description: [Asked if r12group = 1 and r12polkom3 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Other (please specify) 30 28.3% 0.2830189
97 Not answered 0 0% 0.0000000
98 Not asked 7087 NA
0 76 71.7% 0.7169811


r12polkom4a_7_other


Variable label: Other [r12polkom4a_7]. [Data withheld for the sake of anonymity]
Pre-question text: Why do you regularly read items posted on such websites?
Literal question: Other (please specify)
Post-question: Tick all that are relevant.
Technical description: [Asked if r12group = 1 and r12polkom3 = 1 ] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12polkom4b_1


Variable label: Why not read alternative media: News needs satisfied through editorial news media.
Pre-question text: Why don’t you regularly read items posted on such websites?
Literal question: I satisfy my need for news through the editorial news media
Post-question: Tick all that are relevant.
Technical description: [Asked if r12group = 1 and r12polkom3 = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 I satisfy my need for news through the editorial news media 640 48.9% 0.489296636
97 Not answered 1 0.1% 0.000764526
98 Not asked 5885 NA
0 667 51% 0.509938838


r12polkom4b_2


Variable label: Why not read alternative media: Generally disagree with the political views presented.
Pre-question text: Why don’t you regularly read items posted on such websites?
Literal question: I generally disagree with the political views presented on websites such as Document.no, Resett, Human Rights Service (HRS) and Breitbart
Post-question: Tick all that are relevant.
Technical description: [Asked if r12group = 1 and r12polkom3 = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 I generally disagree with the political views presented on websites such as Document.no, Resett, Human Rights Service (HRS) and Breitbart 279 21.3% 0.213302752
97 Not answered 1 0.1% 0.000764526
98 Not asked 5885 NA
0 1028 78.6% 0.785932722


r12polkom4b_3


Variable label: Why not read alternative media: Don’t trust what is written.
Pre-question text: Why don’t you regularly read items posted on such websites?
Literal question: I don’t trust that what is written on websites such as Document.no, Resett, Human Rights Service (HRS) and Breitbart is true
Post-question: Tick all that are relevant.
Technical description: [Asked if r12group = 1 and r12polkom3 = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 I don’t trust that what is written on websites such as Document.no, Resett, Human Rights Service (HRS) and Breitbart is true 386 29.5% 0.295107034
97 Not answered 1 0.1% 0.000764526
98 Not asked 5885 NA
0 921 70.4% 0.704128440


r12polkom4b_4


Variable label: Why not read alternative media: They are xenophobic in coverage of immigrants.
Pre-question text: Why don’t you regularly read items posted on such websites?
Literal question: Websites such as Document.no, Resett, Human Rights Service (HRS) and Breitbart are xenophobic in their coverage of immigrants
Post-question: Tick all that are relevant.
Technical description: [Asked if r12group = 1 and r12polkom3 = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Websites such as Document.no, Resett, Human Rights Service (HRS) and Breitbart are xenophobic in their coverage of immigrants 230 17.6% 0.175840979
97 Not answered 1 0.1% 0.000764526
98 Not asked 5885 NA
0 1077 82.3% 0.823394495


r12polkom4b_5


Variable label: Why not read alternative media: They don’t comply with Code of Ethics of the Norwegian Press.
Pre-question text: Why don’t you regularly read items posted on such websites?
Literal question: Websites such as Document.no, Resett, Human Rights Service (HRS) and Breitbart do not comply with the press ethics embodied in the Code of Ethics of the Norwegian Press.
Post-question: Tick all that are relevant.
Technical description: [Asked if r12group = 1 and r12polkom3 = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Websites such as Document.no, Resett, Human Rights Service (HRS) and Breitbart do not comply with the press ethics embodied in the Code of Ethics of the Norwegian Press 207 15.8% 0.158256881
97 Not answered 1 0.1% 0.000764526
98 Not asked 5885 NA
0 1100 84.1% 0.840978593


r12polkom4b_6


Variable label: Why not read alternative media: Have not heard of them.
Pre-question text: Why don’t you regularly read items posted on such websites?
Literal question: I have not heard of Document.no, Resett, Human Rights Service (HRS) and Breitbart
Post-question: Tick all that are relevant.
Technical description: [Asked if r12group = 1 and r12polkom3 = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 I have not heard of Document.no, Resett, Human Rights Service (HRS) and Breitbart 446 34.1% 0.340978593
97 Not answered 1 0.1% 0.000764526
98 Not asked 5885 NA
0 861 65.8% 0.658256881


r12polkom4b_7


Variable label: Why not read alternative media: Other.
Pre-question text: Why don’t you regularly read items posted on such websites?
Literal question: Other (please specify)
Post-question: Tick all that are relevant.
Technical description: [Asked if r12group = 1 and r12polkom3 = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Other (please specify) 40 3.1% 0.030581040
97 Not answered 1 0.1% 0.000764526
98 Not asked 5885 NA
0 1267 96.9% 0.968654434


r12polkom4b_7_other


Variable label: Other [r12polkom4b_7]. [Data withheld for the sake of anonymity]
Pre-question text: Why don’t you regularly read items posted on such websites?
Literal question: Other (please specify)
Post-question: Tick all that are relevant.
Technical description: [Asked if r12group = 1 and r12polkom3 = 2 ] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12pad0


Variable label: How well are women represented in Norwegian politics.
Literal question: In your view, how well are women represented in Norwegian politics?
Technical description: [Asked if r12group = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Underrepresented 48 3.5% 0.034632035
2 Somewhat underrepresented 371 26.8% 0.267676768
3 Well represented 867 62.6% 0.625541126
4 Somewhat overrepresented 79 5.7% 0.056998557
5 Overrepresented 17 1.2% 0.012265512
97 Not answered 4 0.3% 0.002886003
98 Not asked 5807 NA


r12pad1


Variable label: The police reform will contribute to more visible and accessible police.
Pre-question text:

The police reform took effect on 1 January 2016. The aim of the reform is to ensure the presence of competent and effective local law enforcement where the population lives, while developing good professional environments equipped to meet today’s and tomorrow’s crime challenges. A consequence of the reform is the merger of units, so that we currently have fewer police districts and sheriff’s offices.

To what extent do you agree or disagree with the following proposition/statement:
Literal question: The policy reform will contribute to more visible and accessible police.
Technical description: [Asked if r12group = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 31 2.2% 0.022366522
2 Agree 106 7.6% 0.076479076
3 Agree somewhat 141 10.2% 0.101731602
4 Neither agree nor disagree 299 21.6% 0.215728716
5 Disagree somewhat 318 22.9% 0.229437229
6 Disagree 349 25.2% 0.251803752
7 Strongly disagree 136 9.8% 0.098124098
97 Not answered 6 0.4% 0.004329004
98 Not asked 5807 NA


r12pad2


Variable label: Agree/disagree: All new passenger cars from 2025 should be elctric, hydrogen-powered or similar.
Pre-question text: To what extent do you agree or disagree with the following proposition/statement:
Literal question: All new passenger cars from 2025 should be electric, hydrogen-powered or similar.
Technical description: [Asked if r12group = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 164 11.8% 0.118326118
2 Agree 234 16.9% 0.168831169
3 Agree somewhat 275 19.8% 0.198412698
4 Neither agree nor disagree 124 8.9% 0.089466089
5 Disagree somewhat 189 13.6% 0.136363636
6 Disagree 230 16.6% 0.165945166
7 Strongly disagree 166 12% 0.119769120
97 Not answered 4 0.3% 0.002886003
98 Not asked 5807 NA


r12pad3


Variable label: Agree/disagree: Important that municipalities implement nationally agreed objectives.
Pre-question text: To what extent do you agree or disagree with the following proposition/statement:
Literal question: It is important that the municipalities implement nationally agreed objectives.
Technical description: [Asked if r12group = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 169 12.2% 0.121933622
2 Agree 589 42.5% 0.424963925
3 Agree somewhat 334 24.1% 0.240981241
4 Neither agree nor disagree 152 11% 0.109668110
5 Disagree somewhat 92 6.6% 0.066378066
6 Disagree 32 2.3% 0.023088023
7 Strongly disagree 5 0.4% 0.003607504
97 Not answered 13 0.9% 0.009379509
98 Not asked 5807 NA


r12pad4


Variable label: Agree/disagree: Important that municipalities can develop locally adapted service offers.
Pre-question text: To what extent do you agree or disagree with the following proposition/statement:
Literal question: It is important that the municipalities have freedom to develop a service offer that is locally adapted.
Technical description: [Asked if r12group = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 217 15.7% 0.156565657
2 Agree 634 45.7% 0.457431457
3 Agree somewhat 367 26.5% 0.264790765
4 Neither agree nor disagree 54 3.9% 0.038961039
5 Disagree somewhat 56 4% 0.040404040
6 Disagree 37 2.7% 0.026695527
7 Strongly disagree 9 0.6% 0.006493506
97 Not answered 12 0.9% 0.008658009
98 Not asked 5807 NA


r12pad5


Variable label: Agree/disagree: The government should work to reduce wealth differences to a greater extent.
Pre-question text: To what extent do you agree or disagree with the following proposition/statement:
Literal question: The government should work to reduce the wealth differences in society to a greater extent.
Technical description: [Asked if r12group = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 320 23.1% 0.230880231
2 Agree 348 25.1% 0.251082251
3 Agree somewhat 277 20% 0.199855700
4 Neither agree nor disagree 162 11.7% 0.116883117
5 Disagree somewhat 122 8.8% 0.088023088
6 Disagree 102 7.4% 0.073593074
7 Strongly disagree 45 3.2% 0.032467532
97 Not answered 10 0.7% 0.007215007
98 Not asked 5807 NA


r12pad6_treatment1


Variable label: [Randomizes if r12group = 2. Randomly selects text element for r12pad6]
Technical description: [Randomizes if r12group = 2. Randomly selects text element for r12pad6]
Technical attributes: [Format:numeric] [Valid:1384] [Invalid:5809] [Range:1-2]

Value Label Cases Percentage
1 the majority of representatives in the council of a Norwegian municipality received higher education, and 706 51% 0.5101156
2 the majority of representatives in the council of a Norwegian municipality did not receive higher education, and 678 49% 0.4898844
Sysmiss 5809 NA


r12pad6_treatment2


Variable label: [Randomizes if r12group = 2. Randomly selects text element for r12pad6]
Technical description: [Randomizes if r12group = 2. Randomly selects text element for r12pad6]
Technical attributes: [Format:numeric] [Valid:1384] [Invalid:5809] [Range:1-2]

Value Label Cases Percentage
1 the majority of the citizens received higher education. 662 47.8% 0.4783237
2 the majority of the citizens did not receive higher education. 722 52.2% 0.5216763
Sysmiss 5809 NA


r12pad6_depvar


Variable label: [Randomizes if r12group = 2. Randomly selects text element for r12pad6]
Technical description: [Randomizes if r12group = 2. Randomly selects text element for r12pad6]
Technical attributes: [Format:numeric] [Valid:1384] [Invalid:5809] [Range:1-2]

Value Label Cases Percentage
1 represent most citizens 677 48.9% 0.4891618
2 take decisions which will benefit most citizens 707 51.1% 0.5108382
Sysmiss 5809 NA


r12pad6


Variable label: Confident that the municipal council is able to [represent most citizens /take decisions which will benefit most citizens].
Pre-question text: Imagine that [the majority of representatives in the council of a Norwegian municipality received higher education, and/the majority of representatives in the council of a Norwegian municipality did not receive higher education, and ] [the majority of the citizens received higher education./the majority of the citizens did not receive higher education.]
Literal question: Based on only this information, how confident are you that the municipal council is able to [represent most citizens /take decisions which will benefit most citizens] in this municipality?
Technical description: [Asked if r12group = 2 The wording of the question depends on the randomized values in r12pad6_treatment1, r12pad6_treatment2 and r12pad6_depvar]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very confident 37 2.7% 0.02669553
2 Confident 405 29.2% 0.29220779
3 Moderately confident 592 42.7% 0.42712843
4 Not very confident 303 21.9% 0.21861472
5 Not confident at all 34 2.5% 0.02453102
97 Not answered 15 1.1% 0.01082251
98 Not asked 5807 NA


r12pad7_treatment1


Variable label: [Randomizes if r12group = 2. Randomly selects text element for r12pad7]
Technical description: [Randomizes if r12group = 2. Randomly selectstext element for r12pad7]
Technical attributes: [Format:numeric] [Valid:1382] [Invalid:5811] [Range:1-4]

Value Label Cases Percentage
1 Some are against using quotas as a means of changing the gender composition while others claim that we could lose valuable insights in women’s perspectives when women are not represented well enough. 371 26.8% 0.2684515
2 Some are against using quotas as a means of changing the gender composition while others claim that an imbalance in gender representation does not ensure that we exploit all available talent. 335 24.2% 0.2424023
3 Some are against using quotas as a means of changing the gender composition while others claim that both women and men should have equal possibilities to be represented. 328 23.7% 0.2373372
4 [No treatment] 348 25.2% 0.2518090
Sysmiss 5811 NA


r12pad7_depvar


Variable label: [Randomizes if r12group = 2. Randomly selects text element for r12pad7]
Technical description: [Randomizes if r12group = 2. Randomly selects text element for r12pad7]
Technical attributes: [Format:numeric] [Valid:1382] [Invalid:5811] [Range:1-4]

Value Label Cases Percentage
1 in boards of religious communities that enjoy state support 355 25.7% 0.2568741
2 in municipal councils 312 22.6% 0.2257598
3 in boards of listed companies and public businesses 365 26.4% 0.2641100
4 [No treatment] 350 25.3% 0.2532562
Sysmiss 5811 NA


r12pad7


Variable label: Support or oppose gender quotas in [in boards of religious communities that enjoy state support/in municipal councils /in boards of listed companies and public businesses/[No treatment]].
Pre-question text: In and around Norway, the use of quotas to ensure a gender balance in important boards or institutions is being discussed. [Some are against using quotas as a means of changing the gender composition while others claim that we could lose valuable insights in women’s perspectives when women are not represented well enough/Some are against using quotas as a means of changing the gender composition while others claim that an imbalance in gender representation does not ensure that we exploit all available talent/Some are against using quotas as a means of changing the gender composition while others claim that both women and men should have equal possibilities to be represented/[No treatment]]
Literal question: How strongly do you support or oppose gender quotas [in boards of religious communities that enjoy state support/in municipal councils /in boards of listed companies and public businesses/[No treatment]]?
Technical description: [Asked if r12group = 2. The wording of the question depends on the randomized values in r12pad7_treatment1 and r12pad7_depvar]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly support 74 5.3% 0.05339105
2 Support 232 16.7% 0.16738817
3 Support somewhat 454 32.8% 0.32756133
4 Neither support nor oppose 261 18.8% 0.18831169
5 Oppose somewhat 216 15.6% 0.15584416
6 Oppose 89 6.4% 0.06421356
7 Strongly oppose 44 3.2% 0.03174603
97 Not answered 16 1.2% 0.01154401
98 Not asked 5807 NA


r12pad8_ran


Variable label: [Randomizes if r12group = 2. Randomly selects direction of response scale for r12pad8]
Technical description: [Randomizes if r12group = 2. Randomly selects direction of response scale for r12pad8]
Technical attributes: [Format:numeric] [Valid:1380] [Invalid:5813] [Range:1-2]

Value Label Cases Percentage
1 Scale direction: Not important at all - Very important 668 48.4% 0.484058
2 Scale direction: Very important - Not important at all 712 51.6% 0.515942
Sysmiss 5813 NA


r12pad8


Variable label: How important do you believe it is that representatives are good communicators?
Literal question: How important do you believe it is that representatives are good communicators?
Post-question: With this we mean that they help citizens to understand complex issues and in what way these issues affect citizens
Technical description: [Asked if r12group = 2 The direction of the response scale depends on the randomized value in r12pad8_ran]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not important at all 6 0.4% 0.004329004
2 Slightly important 21 1.5% 0.015151515
3 Somewhat important 116 8.4% 0.083694084
4 Important 645 46.5% 0.465367965
5 Very important 586 42.3% 0.422799423
97 Not answered 12 0.9% 0.008658009
98 Not asked 5807 NA


r12pad9_ran


Variable label: [Randomizes if r12group = 2. Randomly selects direction of response scale for r12pad9]
Technical description: [Randomizes if r12group = 2. Randomly selects direction of response scale for r12pad9]
Technical attributes: [Format:numeric] [Valid:1378] [Invalid:5815] [Range:1-2]

Value Label Cases Percentage
1 Scale direction: Not important at all - Very important 680 49.3% 0.4934688
2 Scale direction: Very important - Not important at all 698 50.7% 0.5065312
Sysmiss 5815 NA


r12pad9


Variable label: How important that political representatives understand complex issues.
Literal question: In your opinion, how important is it that political representatives are able to understand complex issues?
Post-question: By this, we mean that they have knowledge of and understand the complexity of special matters and how they affect different groups in different ways.
Technical description: [Asked if r12group = 2. The direction of the response scale depends on the randomized value in r12pad9_ran]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:2-5]

Value Label Cases Percentage
1 Not important at all 0 0% 0.000000000
2 Slightly important 4 0.3% 0.002886003
3 Somewhat important 42 3% 0.030303030
4 Important 433 31.2% 0.312409812
5 Very important 895 64.6% 0.645743146
97 Not answered 12 0.9% 0.008658009
98 Not asked 5807 NA


r12pad10


Variable label: Government followed own platform or people’s will: Reducing income inequality.
Literal question: In your opinion, has the Government followed its platform or the people’s will (for the most part) in the issue of reducing income inequality in society?
Technical description: [Asked if r12group = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Only public opinion 1 0.1% 0.0007215007
2 Mostly public opinion 37 2.7% 0.0266955267
3 Both public opinion and the political platform, equally 177 12.8% 0.1277056277
4 Mostly the political platform 613 44.2% 0.4422799423
5 Only the political platform 122 8.8% 0.0880230880
6 The government has not followed either of these 270 19.5% 0.1948051948
7 The government has followed both, and they are the same 46 3.3% 0.0331890332
97 Not answered 120 8.7% 0.0865800866
98 Not asked 5807 NA


r12pad11


Variable label: Government followed own platform or people’s will: Granting refugees residence in Norway.
Literal question: In your opinion, has the Government followed its platform or the people’s will (for the most part) in the issue of granting refugees residence in Norway?
Technical description: [Asked if r12group = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:2-7]

Value Label Cases Percentage
1 Only public opinion 0 0% 0.00000000
2 Mostly public opinion 59 4.3% 0.04256854
3 Both public opinion and the political platform, equally 221 15.9% 0.15945166
4 Mostly the political platform 657 47.4% 0.47402597
5 Only the political platform 187 13.5% 0.13492063
6 The government has not followed either of these 107 7.7% 0.07720058
7 The government has followed both, and they are the same 61 4.4% 0.04401154
97 Not answered 94 6.8% 0.06782107
98 Not asked 5807 NA


r12pad12


Variable label: Government followed own platform or people’s will: Phasing out personal cars running on fossil fuels.
Literal question: In your opinion, has the Government followed its platform or the people’s will (for the most part) in the issue about whether all new private vehicles must be electric, hydrogen-powered, or similar from 2025?
Technical description: [Asked if r12group = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Only public opinion 4 0.3% 0.002886003
2 Mostly public opinion 53 3.8% 0.038239538
3 Both public opinion and the political platform, equally 232 16.7% 0.167388167
4 Mostly the political platform 578 41.7% 0.417027417
5 Only the political platform 215 15.5% 0.155122655
6 The government has not followed either of these 149 10.8% 0.107503608
7 The government has followed both, and they are the same 40 2.9% 0.028860029
97 Not answered 115 8.3% 0.082972583
98 Not asked 5807 NA


r12pad13


Variable label: Voters vote for political plans for the future or previous actions.
Literal question: In the national parliamentary elections, do you believe that voters mostly vote on the basis of the political plans for the future or rather on the basis of previous actions?
Technical description: [Asked if r12group = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1 Only on the basis of the parties’ previous actions 56 4% 0.04040404
2 2 97 7% 0.06998557
3 3 226 16.3% 0.16305916
4 4 Just as much on the basis of the parties’ future political plans and previous actions 676 48.8% 0.48773449
5 5 189 13.6% 0.13636364
6 6 53 3.8% 0.03823954
7 7 Only in the basis of the parties’ future political plans 52 3.8% 0.03751804
97 Not answered 37 2.7% 0.02669553
98 Not asked 5807 NA


r12polkom14_parti


Variable label: [Randomizes if r12group = 2. Randomly selects text element for r12polkom14]
Technical description: [Randomizes if r12group = 2. Randomly selects text element for r12polkom14]
Technical attributes: [Format:numeric] [Valid:1362] [Invalid:5831] [Range:1-9]

Value Label Cases Percentage
1 The Red Party 166 12.2% 0.12187959
2 The Socialist Left Party 148 10.9% 0.10866373
3 The Labour Party 154 11.3% 0.11306902
4 The Centre Party 127 9.3% 0.09324523
5 The Green Party 157 11.5% 0.11527166
6 The Liberal Party 162 11.9% 0.11894273
7 The Christian Democrats 135 9.9% 0.09911894
8 The Conservative Party 156 11.5% 0.11453744
9 The Progress Party 157 11.5% 0.11527166
Sysmiss 5831 NA


r12polkom14_frekvens


Variable label: [Randomizes if r12group = 2. Randomly selects text element for r12polkom14]
Technical description: [Randomizes if r12group = 2. Randomly selects text element for r12polkom14]
Technical attributes: [Format:numeric] [Valid:1362] [Invalid:5831] [Range:1-2]

Value Label Cases Percentage
1 and often 677 49.7% 0.4970631
2 but rarely 685 50.3% 0.5029369
Sysmiss 5831 NA


r12polkom14


Variable label: Satisfied with child-in-law. Child-in-law Votes [party], [and often/but rarely] talks about politics.
Literal question: How satisfied or dissatisfied would you be if you had a daughter or son who married a person who votes [the Red Party/ the Socialist Left Party/the Labour Party/the Centre Party/the Green Party/the Liberal Party/the Christian Democrats/the Conservative Party/the Progress Party] [and often/ but rarely] talk about politics?
Technical description: [Asked if r12group = 2. The wording of the question depends on the randomized values in r12polkom14_parti and r12polkom14_frekvens]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very satisfied 91 6.6% 0.06565657
2 Satisfied 253 18.3% 0.18253968
3 Somewhat satisfied 57 4.1% 0.04112554
4 Neither satisfied nor dissatisfied 664 47.9% 0.47907648
5 Somewhat dissatisfied 151 10.9% 0.10894661
6 Dissatisfied 61 4.4% 0.04401154
7 Very dissatisfied 73 5.3% 0.05266955
97 Not answered 36 2.6% 0.02597403
98 Not asked 5807 NA


r12polkom2_1_stilling


Variable label: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects academic position for person 1]
Technical description: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects academic position for person 1]
Technical attributes: [Format:numeric] [Valid:1360] [Invalid:5833] [Range:1-3]

Value Label Cases Percentage
1 Professor 447 32.9% 0.3286765
2 PhD Research Fellow 467 34.3% 0.3433824
3 Independent researcher without a PhD 446 32.8% 0.3279412
Sysmiss 5833 NA


r12polkom2_2_stilling


Variable label: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects academic position for person 2]
Technical description: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects academic position for person 2]
Technical attributes: [Format:numeric] [Valid:1360] [Invalid:5833] [Range:1-3]

Value Label Cases Percentage
1 Professor 438 32.2% 0.3220588
2 PhD Research Fellow 460 33.8% 0.3382353
3 Independent researcher without a PhD 462 34% 0.3397059
Sysmiss 5833 NA


r12polkom2_1_kom


Variable label: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects visibility in the media for person 1]
Technical description: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects visibility in the media for person 1]
Technical attributes: [Format:numeric] [Valid:1360] [Invalid:5833] [Range:1-3]

Value Label Cases Percentage
1 Frequently appears as an expert in the media 460 33.8% 0.3382353
2 Rarely appears as an expert in the media 463 34% 0.3404412
3 Never appears as an expert in the media 437 32.1% 0.3213235
Sysmiss 5833 NA


r12polkom2_2_kom


Variable label: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects visibility in the media for person 2]
Technical description: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects visibility in the media for person 2]
Technical attributes: [Format:numeric] [Valid:1360] [Invalid:5833] [Range:1-3]

Value Label Cases Percentage
1 Frequently appears as an expert in the media 473 34.8% 0.3477941
2 Rarely appears as an expert in the media 459 33.8% 0.3375000
3 Never appears as an expert in the media 428 31.5% 0.3147059
Sysmiss 5833 NA


r12polkom2_1_gender


Variable label: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects gender for person 1]
Technical description: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects gender for person 1]
Technical attributes: [Format:numeric] [Valid:1360] [Invalid:5833] [Range:1-2]

Value Label Cases Percentage
1 Male 674 49.6% 0.4955882
2 Female 686 50.4% 0.5044118
Sysmiss 5833 NA


r12polkom2_2_gender


Variable label: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects gender for person 2]
Technical description: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects gender for person 2]
Technical attributes: [Format:numeric] [Valid:1360] [Invalid:5833] [Range:1-2]

Value Label Cases Percentage
1 Male 659 48.5% 0.4845588
2 Female 701 51.5% 0.5154412
Sysmiss 5833 NA


r12polkom2_1_parti


Variable label: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects political standpoint for person 1]
Technical description: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects political standpoint for person 1]
Technical attributes: [Format:numeric] [Valid:1360] [Invalid:5833] [Range:1-11]

Value Label Cases Percentage
1 Not known 122 9% 0.08970588
2 Politically neutral 126 9.3% 0.09264706
3 Red Party 119 8.8% 0.08750000
4 Socialist Left Party 123 9% 0.09044118
5 Labour Party 120 8.8% 0.08823529
6 Centre Party 132 9.7% 0.09705882
7 Green Party 142 10.4% 0.10441176
8 Liberal Party 130 9.6% 0.09558824
9 Christian Democratic Party 107 7.9% 0.07867647
10 Conservative Party 139 10.2% 0.10220588
11 Progress Party 100 7.4% 0.07352941
Sysmiss 5833 NA


r12polkom2_2_parti


Variable label: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects political standpoint for person 2]
Technical description: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects political standpoint for person 2]
Technical attributes: [Format:numeric] [Valid:1360] [Invalid:5833] [Range:1-11]

Value Label Cases Percentage
1 Not known 128 9.4% 0.09411765
2 Politically neutral 117 8.6% 0.08602941
3 Red Party 122 9% 0.08970588
4 Socialist Left Party 116 8.5% 0.08529412
5 Labour Party 119 8.8% 0.08750000
6 Centre Party 123 9% 0.09044118
7 Green Party 133 9.8% 0.09779412
8 Liberal Party 126 9.3% 0.09264706
9 Christian Democratic Party 124 9.1% 0.09117647
10 Conservative Party 122 9% 0.08970588
11 Progress Party 130 9.6% 0.09558824
Sysmiss 5833 NA


r12polkom2_1_publ


Variable label: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects publication for person 1]
Technical description: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects publication for person 1]
Technical attributes: [Format:numeric] [Valid:1360] [Invalid:5833] [Range:1-3]

Value Label Cases Percentage
1 ... in an internationally leading scientific journal 456 33.5% 0.3352941
2 ... In a scientific Norwegian journal 447 32.9% 0.3286765
3 ... as a Norwegian report 457 33.6% 0.3360294
Sysmiss 5833 NA


r12polkom2_2_publ


Variable label: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects publication for person 2]
Technical description: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects publication for person 2]
Technical attributes: [Format:numeric] [Valid:1360] [Invalid:5833] [Range:1-3]

Value Label Cases Percentage
1 ... in an internationally leading scientific journal 458 33.7% 0.3367647
2 ... In a scientific Norwegian journal 435 32% 0.3198529
3 ... as a Norwegian report 467 34.3% 0.3433824
Sysmiss 5833 NA


r12polkom2_1_funn


Variable label: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects findings for person 1]
Technical description: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects findings for person 1]
Technical attributes: [Format:numeric] [Valid:1360] [Invalid:5833] [Range:1-3]

Value Label Cases Percentage
1 ... an advantage for Norway 483 35.5% 0.3551471
2 ...neither an advantage nor a disadvantage for Norway 441 32.4% 0.3242647
3 ... a disadvantage for Norway 436 32.1% 0.3205882
Sysmiss 5833 NA


r12polkom2_2_funn


Variable label: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects findings for person 2]
Technical description: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects findings for person 2]
Technical attributes: [Format:numeric] [Valid:1360] [Invalid:5833] [Range:1-3]

Value Label Cases Percentage
1 ... an advantage for Norway 461 33.9% 0.3389706
2 ...neither an advantage nor a disadvantage for Norway 449 33% 0.3301471
3 ... a disadvantage for Norway 450 33.1% 0.3308824
Sysmiss 5833 NA


r12polkom2_1_metode


Variable label: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects method for person 1]
Technical description: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects method for person 1]
Technical attributes: [Format:numeric] [Valid:1360] [Invalid:5833] [Range:1-2]

Value Label Cases Percentage
1 ... statistics 672 49.4% 0.4941176
2 ... qualitative interviews 688 50.6% 0.5058824
Sysmiss 5833 NA


r12polkom2_2_metode


Variable label: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects method for person 2]
Technical description: [Randomizes if r12group = 2. Background variable for conjoint experiment. Randomly selects method for person 2]
Technical attributes: [Format:numeric] [Valid:1360] [Invalid:5833] [Range:1-2]

Value Label Cases Percentage
1 ... statistics 664 48.8% 0.4882353
2 ... qualitative interviews 696 51.2% 0.5117647
Sysmiss 5833 NA


r12polkom2_order


Variable label: [ Background variable for conjoint experiment. Specifies the order of the various properties shown in the table that is displayed to the respondent]
Technical description:

[ Background variable for conjoint experiment. Specifies the order of the various properties shown in the table that is displayed to the respondent.

1 = Position and employment 2 = Visibility in the media 3 = Gender 4 = Political standpoint 5 = The person’s latest scientific article has been published… 6 = The person’s latest scientific article finds that immigration is… 7 = The person’s latest scientific article uses…]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12polkom2


Variable label: Which of two persons giver most credible information on immigration.
Pre-question text: We refer below to two hypothetical persons researching the consequences of immigration for Norway. Please read the descriptions of both persons carefully and answer the questions below.
Literal question: Let’s say you didn’t have any information other than the above. If you had to make a choice, which of these two do you think would give you the most credible information about the consequences of immigration for Norway?
Technical description: [Asked if r12group = 2. Conjoint experiment. Respondents are exposed to two people with varying characteristics. Characteristics of the persons are chosen randomly. See background variables.]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Person 1 666 48.1% 0.48051948
2 Person 2 638 46% 0.46031746
97 Not answered 82 5.9% 0.05916306
98 Not asked 5807 NA


r12polkom16


Variable label: Confidence in Norwegian research.
Literal question: In general, how much confidence do you have in the research that Norwegian researchers produce?
Technical description: [Asked if r12group = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very high confidence 80 5.8% 0.057720058
2 High confidence 728 52.5% 0.525252525
3 Some confidence 469 33.8% 0.338383838
4 Little confidence 68 4.9% 0.049062049
5 No confidence at all 7 0.5% 0.005050505
97 Not answered 34 2.5% 0.024531025
98 Not asked 5807 NA


r12polkom17


Variable label: How interested in research.
Literal question: Generally speaking, how interested are you in research?
Technical description: [Asked if r12group = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very interested 192 13.9% 0.138528139
2 Interested 629 45.4% 0.453823954
3 Somewhat interested 435 31.4% 0.313852814
4 Not very interested 80 5.8% 0.057720058
5 Not interested 9 0.6% 0.006493506
97 Not answered 41 3% 0.029581530
98 Not asked 5807 NA


r12polkom11_1


Variable label: Contributed to Doctors Without Borders: Shared with Facebook contacts.
Pre-question text:

On 9 March 2018, a fundraiser was set up for Doctors Without Borders on Facebook: «Soldiers of Are og Odin - fundraiser for Leger Uten Grenser».
The fundraiser was started in response to all the flowers sent to then Minister of Justice Sylvi Listhaug after she wrote on Facebook that the Labour Party places the rights of terrorists above national security. The fundraiser brought in over NOK 17 million in five days and attracted considerable media coverage (see, for example, here (external link).

Did you contribute in any way to this campaign?
Literal question: Yes, I shared the campaign with my Facebook contacts
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Yes, I shared the campaign with my Facebook contacts 33 2.4% 0.02380952
97 Not answered 34 2.5% 0.02453102
98 Not asked 5807 NA
0 1319 95.2% 0.95165945


r12polkom11_2


Variable label: Contributed to Doctors Without Borders: Donated through Facebook fundraiser.
Pre-question text:

On 9 March 2018, a fundraiser was set up for Doctors Without Borders on Facebook: «Soldiers of Are og Odin - fundraiser for Leger Uten Grenser».
The fundraiser was started in response to all the flowers sent to then Minister of Justice Sylvi Listhaug after she wrote on Facebook that the Labour Party places the rights of terrorists above national security. The fundraiser brought in over NOK 17 million in five days and attracted considerable media coverage (see, for example, here (external link).

Did you contribute in any way to this campaign?
Literal question: Yes, I donated money through the fundraiser on Facebook
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Yes, I donated money through the fundraiser on Facebook 63 4.5% 0.04545455
97 Not answered 34 2.5% 0.02453102
98 Not asked 5807 NA
0 1289 93% 0.93001443


r12polkom11_3


Variable label: Contributed to Doctors Without Borders: Donated through Vipps.
Pre-question text:

On 9 March 2018, a fundraiser was set up for Doctors Without Borders on Facebook: «Soldiers of Are og Odin - fundraiser for Leger Uten Grenser».
The fundraiser was started in response to all the flowers sent to then Minister of Justice Sylvi Listhaug after she wrote on Facebook that the Labour Party places the rights of terrorists above national security. The fundraiser brought in over NOK 17 million in five days and attracted considerable media coverage (see, for example, here (external link).

Did you contribute in any way to this campaign?
Literal question: Yes, I donated money through Vipps
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Yes, I donated money through Vipps 32 2.3% 0.02308802
97 Not answered 34 2.5% 0.02453102
98 Not asked 5807 NA
0 1320 95.2% 0.95238095


r12polkom11_4


Variable label: Contributed to Doctors Without Borders: Donated through bank transfer.
Pre-question text:

On 9 March 2018, a fundraiser was set up for Doctors Without Borders on Facebook: «Soldiers of Are og Odin - fundraiser for Leger Uten Grenser».
The fundraiser was started in response to all the flowers sent to then Minister of Justice Sylvi Listhaug after she wrote on Facebook that the Labour Party places the rights of terrorists above national security. The fundraiser brought in over NOK 17 million in five days and attracted considerable media coverage (see, for example, here (external link).

Did you contribute in any way to this campaign?
Literal question: Yes, I donated money through an ordinary bank transfer
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Yes, I donated money through an ordinary bank transfer 24 1.7% 0.01731602
97 Not answered 34 2.5% 0.02453102
98 Not asked 5807 NA
0 1328 95.8% 0.95815296


r12polkom11_5


Variable label: Contributed to Doctors Without Borders: Did not contribute, knew about fundraiser.
Pre-question text:

On 9 March 2018, a fundraiser was set up for Doctors Without Borders on Facebook: «Soldiers of Are og Odin - fundraiser for Leger Uten Grenser».
The fundraiser was started in response to all the flowers sent to then Minister of Justice Sylvi Listhaug after she wrote on Facebook that the Labour Party places the rights of terrorists above national security. The fundraiser brought in over NOK 17 million in five days and attracted considerable media coverage (see, for example, here (external link).

Did you contribute in any way to this campaign?
Literal question: No, I didn’t contribute, but I knew about the campaign
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 No, I didn’t contribute, but I knew about the campaign 977 70.5% 0.70490620
97 Not answered 34 2.5% 0.02453102
98 Not asked 5807 NA
0 375 27.1% 0.27056277


r12polkom11_6


Variable label: Contributed to Doctors Without Borders: Did not contribute, did not know about fundraiser.
Pre-question text:

On 9 March 2018, a fundraiser was set up for Doctors Without Borders on Facebook: «Soldiers of Are og Odin - fundraiser for Leger Uten Grenser».
The fundraiser was started in response to all the flowers sent to then Minister of Justice Sylvi Listhaug after she wrote on Facebook that the Labour Party places the rights of terrorists above national security. The fundraiser brought in over NOK 17 million in five days and attracted considerable media coverage (see, for example, here (external link).

Did you contribute in any way to this campaign?
Literal question: No, I didn’t contribute because I had not heard about this campaign
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 No, I didn’t contribute because I had not heard about this campaign 244 17.6% 0.17604618
97 Not answered 34 2.5% 0.02453102
98 Not asked 5807 NA
0 1108 79.9% 0.79942280


r12polkom12a_1


Variable label: Aware of Doctors Without Borders fundraiser: Observed involvement of others on Facebook.
Pre-question text: How did you become aware of the fundraiser?
Literal question: I observed the involvement of others in the fundraiser on Facebook
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 and r12polkom11_1 = 1 or r12polkom11_2 = 1 or r12polkom11_3 = 1 or r12polkom11_4 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 I observed the involvement of others in the fundraiser on Facebook 69 55.2% 0.552
97 Not answered 0 0% 0.000
98 Not asked 7068 NA
0 56 44.8% 0.448


r12polkom12a_2


Variable label: Aware of Doctors Without Borders fundraiser: Invited directly from people in my Facebook network.
Pre-question text: How did you become aware of the fundraiser?
Literal question: I received a direct invitation from people in my Facebook network
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 and r12polkom11_1 = 1 or r12polkom11_2 = 1 or r12polkom11_3 = 1 or r12polkom11_4 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 I received a direct invitation from people in my Facebook network 28 22.4% 0.224
97 Not answered 0 0% 0.000
98 Not asked 7068 NA
0 97 77.6% 0.776


r12polkom12a_3


Variable label: Aware of Doctors Without Borders fundraiser: TV, radio, newspapers.
Pre-question text: How did you become aware of the fundraiser?
Literal question: I became aware of the fundraiser through media coverage from TV, radio, newspapers or online newspapers
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 and r12polkom11_1 = 1 or r12polkom11_2 = 1 or r12polkom11_3 = 1 or r12polkom11_4 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 I became aware of the fundraiser through media coverage from TV, radio, newspapers or online newspapers 45 36% 0.36
97 Not answered 0 0% 0.00
98 Not asked 7068 NA
0 80 64% 0.64


r12polkom12a_4


Variable label: Aware of Doctors Without Borders fundraiser: Media coverage shared on Facebook.
Pre-question text: How did you become aware of the fundraiser?
Literal question: I became aware of the fundraiser through media coverage shared on Facebook
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 and r12polkom11_1 = 1 or r12polkom11_2 = 1 or r12polkom11_3 = 1 or r12polkom11_4 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 I became aware of the fundraiser through media coverage shared on Facebook 20 16% 0.16
97 Not answered 0 0% 0.00
98 Not asked 7068 NA
0 105 84% 0.84


r12polkom12a_5


Variable label: Aware of Doctors Without Borders fundraiser: Other social media.
Pre-question text: How did you become aware of the fundraiser?
Literal question: I became aware of the fundraiser through other social media (e.g. Twitter, Instagram, Snapchat)
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 and r12polkom11_1 = 1 or r12polkom11_2 = 1 or r12polkom11_3 = 1 or r12polkom11_4 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 I became aware of the fundraiser through other social media (e.g. Twitter, Instagram, Snapchat) 2 1.6% 0.016
97 Not answered 0 0% 0.000
98 Not asked 7068 NA
0 123 98.4% 0.984


r12polkom12a_6


Variable label: Aware of Doctors Without Borders fundraiser: Other.
Pre-question text: How did you become aware of the fundraiser?
Literal question: Other (please specify)
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 and r12polkom11_1 = 1 or r12polkom11_2 = 1 or r12polkom11_3 = 1 or r12polkom11_4 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Other (please specify) 3 2.4% 0.024
97 Not answered 0 0% 0.000
98 Not asked 7068 NA
0 122 97.6% 0.976


r12polkom12a_6_other


Variable label: Other[r12polkom12a_6]. [Data withheld for the sake of anonymity]
Pre-question text: How did you become aware of the fundraiser?
Literal question: Other (please specify)
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 and r12polkom11_1 = 1 or r12polkom11_2 = 1 or r12polkom11_3 = 1 or r12polkom11_4 = 1 ] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12polkom12b_1


Variable label: Did not contribute to Doctors Without Borders fundraiser: Support other similar organisations and objectives.
Pre-question text: What was the reason you didn’t contribute?
Literal question: I support other similar organisations and objectives
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 and r12polkom11_5 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 I support other similar organisations and objectives 260 26.6% 0.2661208
97 Not answered 0 0% 0.0000000
98 Not asked 6216 NA
0 717 73.4% 0.7338792


r12polkom12b_2


Variable label: Did not contribute to Doctors Without Borders fundraiser: Supported Listhaug in the case in question.
Pre-question text: What was the reason you didn’t contribute?
Literal question: I supported Listhaug in the case in question
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 and r12polkom11_5 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 I supported Listhaug in the case in question 163 16.7% 0.1668373
97 Not answered 0 0% 0.0000000
98 Not asked 6216 NA
0 814 83.3% 0.8331627


r12polkom12b_3


Variable label: Did not contribute to Doctors Without Borders fundraiser: Don’t support Doctors Without Borders.
Pre-question text: What was the reason you didn’t contribute?
Literal question: I don’t support Doctors Without Borders
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 and r12polkom11_5 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 I don’t support Doctors Without Borders 36 3.7% 0.03684749
97 Not answered 0 0% 0.00000000
98 Not asked 6216 NA
0 941 96.3% 0.96315251


r12polkom12b_4


Variable label: Did not contribute to Doctors Without Borders fundraiser: Don’t support humanitarian organisations.
Pre-question text: What was the reason you didn’t contribute?
Literal question: I don’t support humanitarian organisations
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 and r12polkom11_5 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 I don’t support humanitarian organisations 24 2.5% 0.02456499
97 Not answered 0 0% 0.00000000
98 Not asked 6216 NA
0 953 97.5% 0.97543501


r12polkom12b_5


Variable label: Did not contribute to Doctors Without Borders fundraiser: Don’t support fundraisers through Facebook.
Pre-question text: What was the reason you didn’t contribute?
Literal question: I don’t support fundraisers through Facebook
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 and r12polkom11_5 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 I don’t support fundraisers through Facebook 461 47.2% 0.4718526
97 Not answered 0 0% 0.0000000
98 Not asked 6216 NA
0 516 52.8% 0.5281474


r12polkom12b_6


Variable label: Did not contribute to Doctors Without Borders fundraiser: I’m not on facebook.
Pre-question text: What was the reason you didn’t contribute?
Literal question: I’m not on Facebook
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 and r12polkom11_5 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 I’m not on Facebook 171 17.5% 0.1750256
97 Not answered 0 0% 0.0000000
98 Not asked 6216 NA
0 806 82.5% 0.8249744


r12polkom12b_7


Variable label: Did not contribute to Doctors Without Borders fundraiser: Can’t afford it.
Pre-question text: What was the reason you didn’t contribute?
Literal question: I can’t afford it
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 and r12polkom11_5 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 I can’t afford it 53 5.4% 0.0542477
97 Not answered 0 0% 0.0000000
98 Not asked 6216 NA
0 924 94.6% 0.9457523


r12polkom12b_8


Variable label: Did not contribute to Doctors Without Borders fundraiser: Other.
Pre-question text: What was the reason you didn’t contribute?
Literal question: Other (please specify)
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 and r12polkom11_5 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Other (please specify) 124 12.7% 0.1269191
97 Not answered 0 0% 0.0000000
98 Not asked 6216 NA
0 853 87.3% 0.8730809


r12polkom12b_8_other


Variable label: Other [r12polkom12b_8]. [Data withheld for the sake of anonymity]
Pre-question text: What was the reason you didn’t contribute?
Literal question: Other (please specify)
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 and r12polkom11_5 = 1 ] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12polkom13_1


Variable label: Motivation to contribute to Doctors Without Borders fundraiser: Support Doctors Without Borders.
Pre-question text: What motivated you to contribute?
Literal question: I wanted to support Doctors Without Borders
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 and r12polkom11_1 = 1 or r12polkom11_2 = 1 or r12polkom11_3 = 1 or r12polkom11_4 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 I wanted to support Doctors Without Borders 87 69.6% 0.696
97 Not answered 0 0% 0.000
98 Not asked 7068 NA
0 38 30.4% 0.304


r12polkom13_2


Variable label: Motivation to contribute to Doctors Without Borders fundraiser: Invitation came from a Facebook friend.
Pre-question text: What motivated you to contribute?
Literal question: That the invitation to contribute came from a Facebook friend
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 and r12polkom11_1 = 1 or r12polkom11_2 = 1 or r12polkom11_3 = 1 or r12polkom11_4 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 That the invitation to contribute came from a Facebook friend 2 1.6% 0.016
97 Not answered 0 0% 0.000
98 Not asked 7068 NA
0 123 98.4% 0.984


r12polkom13_3


Variable label: Motivation to contribute to Doctors Without Borders fundraiser: Show support for campaign to my Facebook network.
Pre-question text: What motivated you to contribute?
Literal question: I wanted to show my support for the campaign to my Facebook network
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 and r12polkom11_1 = 1 or r12polkom11_2 = 1 or r12polkom11_3 = 1 or r12polkom11_4 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 I wanted to show my support for the campaign to my Facebook network 11 8.8% 0.088
97 Not answered 0 0% 0.000
98 Not asked 7068 NA
0 114 91.2% 0.912


r12polkom13_4


Variable label: Motivation to contribute to Doctors Without Borders fundraiser: Support fundraiser’s political objective.
Pre-question text: What motivated you to contribute?
Literal question: I wanted to support the political objective of the fundraiser
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 and r12polkom11_1 = 1 or r12polkom11_2 = 1 or r12polkom11_3 = 1 or r12polkom11_4 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 I wanted to support the political objective of the fundraiser 69 55.2% 0.552
97 Not answered 0 0% 0.000
98 Not asked 7068 NA
0 56 44.8% 0.448


r12polkom13_5


Variable label: Motivation to contribute to Doctors Without Borders fundraiser: Support fundraiser’s humanitarian objective.
Pre-question text: What motivated you to contribute?
Literal question: I wanted to support the humanitarian objective of the fundraiser
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 and r12polkom11_1 = 1 or r12polkom11_2 = 1 or r12polkom11_3 = 1 or r12polkom11_4 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 I wanted to support the humanitarian objective of the fundraiser 50 40% 0.4
97 Not answered 0 0% 0.0
98 Not asked 7068 NA
0 75 60% 0.6


r12polkom13_6


Variable label: Motivation to contribute to Doctors Without Borders fundraiser: Other.
Pre-question text: What motivated you to contribute?
Literal question: Other (please specify)
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 and r12polkom11_1 = 1 or r12polkom11_2 = 1 or r12polkom11_3 = 1 or r12polkom11_4 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Other (please specify) 14 11.2% 0.112
97 Not answered 0 0% 0.000
98 Not asked 7068 NA
0 111 88.8% 0.888


r12polkom13_6_other


Variable label: Other [r12polkom13_6]. [Data withheld for the sake of anonymity]
Pre-question text: What motivated you to contribute?
Literal question: Other (please specify)
Post-question: Several answers are possible.
Technical description: [Asked if r12group = 2 and r12polkom11_1 = 1 or r12polkom11_2 = 1 or r12polkom11_3 = 1 or r12polkom11_4 = 1 ] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12km4


Variable label: Thoughs when you hear or read “aquaculture”. [Data withheld for the sake of anonymity]
Literal question: What do you think of when you hear or read the word aquaculture?
Post-question: Please write down the first thing you think of. We are looking for all types of answers.
Technical description:

[Asked if r12group = 3 ]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12km5


Variable label: General impression of aquaculture.
Literal question: Generally speaking, what is your impression of aquaculture?
Technical description: [Asked if r12group = 3 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Exclusively negative 40 2.8% 0.028248588
2 Mostly negative 90 6.4% 0.063559322
3 More negative than positive 261 18.4% 0.184322034
4 Equally negative/positive 308 21.8% 0.217514124
5 More positive than positive 402 28.4% 0.283898305
6 Mostly positive 291 20.6% 0.205508475
7 Exclusively positive 17 1.2% 0.012005650
97 Not answered 7 0.5% 0.004943503
98 Not asked 5777 NA


r12km1_ran1


Variable label: [Randomizes if r12group = 3 or 4. Randomly selects variant of r12km1 (a/b)]
Technical description: [Randomizes if r12group = 3 or 4. Randomly selects variant of r12km1 (a/b)]
Technical attributes: [Format:numeric] [Valid:2873] [Invalid:4320] [Range:1-2]

Value Label Cases Percentage
1 Gets r12km1_a 1460 50.8% 0.5081796
2 Gets r12km1_b 1413 49.2% 0.4918204
Sysmiss 4320 NA


r12km1_ran2_1


Variable label: [Randomizes if r12group = 3 or 4. Background variable for r12km1_a_[1/2/3] or r12km1_b_[1/2/3]. Randomly selects picture 1 for r12km1_[a/b]_1]
Technical description: [Randomizes if r12group = 3 or 4. Background variable for r12km1_a_[1/2/3] or r12km1_b_[1/2/3]. Randomly selects picture 1 for r12km1_[a/b]_1]
Technical attributes: [Format:numeric] [Valid:2873] [Invalid:4320] [Range:1-6]

Value Label Cases Percentage
1 Landscape photo "Grassland" 493 17.2% 0.1715976
2 Landscape photo "Heathland" 473 16.5% 0.1646363
3 Landscape photo "Old mixed" 461 16% 0.1604595
4 Landscape photo "Old planted" 488 17% 0.1698573
5 Landscape photo "Young mixed" 510 17.8% 0.1775148
6 Landscape photo "Young planted" 448 15.6% 0.1559346
Sysmiss 4320 NA


r12km1_ran2_2


Variable label: [Randomizes if r12group = 3 or 4. Background variable for r12km1_a_[1/2/3] or r12km1_b_[1/2/3]. Randomly selects picture 2 for r12km1_[a/b]_1]
Technical description: [Randomizes if r12group = 3 or 4. Background variable for r12km1_a_[1/2/3] or r12km1_b_[1/2/3]. Randomly selects picture 2 for r12km1_[a/b]_1]
Technical attributes: [Format:numeric] [Valid:2873] [Invalid:4320] [Range:1-6]

Value Label Cases Percentage
1 Landscape photo "Grassland" 473 16.5% 0.1646363
2 Landscape photo "Heathland" 492 17.1% 0.1712496
3 Landscape photo "Old mixed" 484 16.8% 0.1684650
4 Landscape photo "Old planted" 489 17% 0.1702054
5 Landscape photo "Young mixed" 488 17% 0.1698573
6 Landscape photo "Young planted" 447 15.6% 0.1555865
Sysmiss 4320 NA


r12km1_ran2_3


Variable label: [Randomizes if r12group = 3 or 4. Background variable for r12km1_a_[1/2/3] or r12km1_b_[1/2/3]. Randomly selects picture 3 for r12km1_[a/b]_2]
Technical description: [Randomizes if r12group = 3 or 4. Background variable for r12km1_a_[1/2/3] or r12km1_b_[1/2/3]. Randomly selects picture 3 for r12km1_[a/b]_2]
Technical attributes: [Format:numeric] [Valid:2873] [Invalid:4320] [Range:1-6]

Value Label Cases Percentage
1 Landscape photo "Grassland" 469 16.3% 0.1632440
2 Landscape photo "Heathland" 468 16.3% 0.1628959
3 Landscape photo "Old mixed" 509 17.7% 0.1771667
4 Landscape photo "Old planted" 491 17.1% 0.1709015
5 Landscape photo "Young mixed" 425 14.8% 0.1479290
6 Landscape photo "Young planted" 511 17.8% 0.1778629
Sysmiss 4320 NA


r12km1_ran2_4


Variable label: [Randomizes if r12group = 3 or 4. Background variable for r12km1_a_[1/2/3] or r12km1_b_[1/2/3]. Randomly selects picture 4 for r12km1_[a/b]_2]
Technical description: [Randomizes if r12group = 3 or 4. Background variable for r12km1_a_[1/2/3] or r12km1_b_[1/2/3]. Randomly selects picture 4 for r12km1_[a/b]_2]
Technical attributes: [Format:numeric] [Valid:2873] [Invalid:4320] [Range:1-6]

Value Label Cases Percentage
1 Landscape photo "Grassland" 465 16.2% 0.1618517
2 Landscape photo "Heathland" 510 17.8% 0.1775148
3 Landscape photo "Old mixed" 457 15.9% 0.1590672
4 Landscape photo "Old planted" 475 16.5% 0.1653324
5 Landscape photo "Young mixed" 475 16.5% 0.1653324
6 Landscape photo "Young planted" 491 17.1% 0.1709015
Sysmiss 4320 NA


r12km1_ran2_5


Variable label: [Randomizes if r12group = 3 or 4. Background variable for r12km1_a_[1/2/3] or r12km1_b_[1/2/3]. Randomly selects picture 5 for r12km1_[a/b]_3]
Technical description: [Randomizes if r12group = 3 or 4. Background variable for r12km1_a_[1/2/3] or r12km1_b_[1/2/3]. Randomly selects picture 5 for r12km1_[a/b]_3]
Technical attributes: [Format:numeric] [Valid:2873] [Invalid:4320] [Range:1-6]

Value Label Cases Percentage
1 Landscape photo "Grassland" 482 16.8% 0.1677689
2 Landscape photo "Heathland" 437 15.2% 0.1521058
3 Landscape photo "Old mixed" 480 16.7% 0.1670727
4 Landscape photo "Old planted" 470 16.4% 0.1635921
5 Landscape photo "Young mixed" 510 17.8% 0.1775148
6 Landscape photo "Young planted" 494 17.2% 0.1719457
Sysmiss 4320 NA


r12km1_ran2_6


Variable label: [Randomizes if r12group = 3 or 4. Background variable for r12km1_a_[1/2/3] or r12km1_b_[1/2/3]. Randomly selects picture 6 for r12km1_[a/b]_3]
Technical description: [Randomizes if r12group = 3 or 4. Background variable for r12km1_a_[1/2/3] or r12km1_b_[1/2/3]. Randomly selects picture 6 for r12km1_[a/b]_3]
Technical attributes: [Format:numeric] [Valid:2873] [Invalid:4320] [Range:1-6]

Value Label Cases Percentage
1 Landscape photo "Grassland" 491 17.1% 0.1709015
2 Landscape photo "Heathland" 493 17.2% 0.1715976
3 Landscape photo "Old mixed" 482 16.8% 0.1677689
4 Landscape photo "Old planted" 460 16% 0.1601114
5 Landscape photo "Young mixed" 465 16.2% 0.1618517
6 Landscape photo "Young planted" 482 16.8% 0.1677689
Sysmiss 4320 NA


r12km1_a_1


Variable label: Which of the two landscapes in the photos below do you like best?
Literal question: Which of the two landscapes in the photos below do you like best?
Technical description: [Asked if r12group = 3 or 4 and r12km1_ran1 = 1. Experiment with pictures of landscapes. Out of 6 possible pictures, 3 random pairs are drawn. See background variables. Please contact Endre Tvinnereim () for more information.]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Tick for landscape A 568 38.9% 0.389041096
2 Equally/don’t know 312 21.4% 0.213698630
3 Tick for landscape B 577 39.5% 0.395205479
97 Not answered 3 0.2% 0.002054795
98 Not asked 5733 NA


r12km1_a_1_txt


Variable label: You can give the reasons for your choice here if you wish: [Data withheld for the sake of anonymity]
Literal question: You can give the reasons for your choice here if you wish:
Technical description: [Asked if r12group = 3 or 4 and r12km1_ran1 = 1. Experiment with pictures of landscapes. Out of 6 possible pictures, 3 random pairs are drawn. See background variables. Please contact Endre Tvinnereim () for more information.] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12km1_a_2


Variable label: Which of the two landscapes in the photos below do you like best?
Literal question: Which of the two landscapes in the photos below do you like best?
Technical description: [Asked if r12group = 3 or 4 and r12km1_ran1 = 1. Experiment with pictures of landscapes. Out of 6 possible pictures, 3 random pairs are drawn. See background variables. Please contact Endre Tvinnereim () for more information.]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Tick for landscape A 563 38.6% 0.385616438
2 Equally/don’t know 268 18.4% 0.183561644
3 Tick for landscape B 619 42.4% 0.423972603
97 Not answered 10 0.7% 0.006849315
98 Not asked 5733 NA


r12km1_a_2_txt


Variable label: You can give the reasons for your choice here if you wish: [Data withheld for the sake of anonymity]
Literal question: You can give the reasons for your choice here if you wish:
Technical description:

[Asked if r12group = 3 or 4 and r12km1_ran1 = 1. Experiment with pictures of landscapes. Out of 6 possible pictures, 3 random pairs are drawn. See background variables. Please contact Endre Tvinnereim () for more information.]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12km1_a_3


Variable label: Which of the two landscapes in the photos below do you like best?
Literal question: Which of the two landscapes in the photos below do you like best?
Technical description: [Asked if r12group = 3 or 4 and r12km1_ran1 = 1. Experiment with pictures of landscapes. Out of 6 possible pictures, 3 random pairs are drawn. See background variables. Please contact Endre Tvinnereim () for more information.]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Tick for landscape A 552 37.8% 0.378082192
2 Equally/don’t know 296 20.3% 0.202739726
3 Tick for landscape B 608 41.6% 0.416438356
97 Not answered 4 0.3% 0.002739726
98 Not asked 5733 NA


r12km1_a_3_txt


Variable label: You can give the reasons for your choice here if you wish: [Data withheld for the sake of anonymity]
Literal question: You can give the reasons for your choice here if you wish:
Technical description:

[Asked if r12group = 3 or 4 and r12km1_ran1 = 1. Experiment with pictures of landscapes. Out of 6 possible pictures, 3 random pairs are drawn. See background variables. Please contact Endre Tvinnereim () for more information.]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12km1_b_1


Variable label: Which of the two landscapes in the photos below do you think is most worthy of preservation?
Literal question: Which of the two landscapes in the photos below do you think is most worthy of preservation?
Technical description: [Asked if r12group = 3 or 4 and r12km1_ran1 = 2. Experiment with pictures of landscapes. Out of 6 possible pictures, 3 random pairs are drawn. See background variables. Please contact Endre Tvinnereim () for more information.]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Tick for landscape A 447 31.6% 0.316348195
2 Equally/don’t know 574 40.6% 0.406227884
3 Tick for landscape B 386 27.3% 0.273177636
97 Not answered 6 0.4% 0.004246285
98 Not asked 5780 NA


r12km1_b_1_txt


Variable label: You can give the reasons for your choice here if you wish: [Data withheld for the sake of anonymity]
Literal question: You can give the reasons for your choice here if you wish:
Technical description:

[Asked if r12group = 3 or 4 and r12km1_ran1 = 2. Experiment with pictures of landscapes. Out of 6 possible pictures, 3 random pairs are drawn. See background variables. Please contact Endre Tvinnereim () for more information.]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12km1_b_2


Variable label: Which of the two landscapes in the photos below do you think is most worthy of preservation?
Literal question: Which of the two landscapes in the photos below do you think is most worthy of preservation?
Technical description: [Asked if r12group = 3 or 4 and r12km1_ran1 = 2. Experiment with pictures of landscapes. Out of 6 possible pictures, 3 random pairs are drawn. See background variables. Please contact Endre Tvinnereim () for more information.]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Tick for landscape A 417 29.5% 0.295116773
2 Equally/don’t know 589 41.7% 0.416843595
3 Tick for landscape B 400 28.3% 0.283085633
97 Not answered 7 0.5% 0.004953999
98 Not asked 5780 NA


r12km1_b_2_txt


Variable label: You can give the reasons for your choice here if you wish: [Data withheld for the sake of anonymity]
Literal question: You can give the reasons for your choice here if you wish:
Technical description:

[Asked if r12group = 3 or 4 and r12km1_ran1 = 2. Experiment with pictures of landscapes. Out of 6 possible pictures, 3 random pairs are drawn. See background variables. Please contact Endre Tvinnereim () for more information.]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12km1_b_3


Variable label: Which of the two landscapes in the photos below do you think is most worthy of preservation?
Literal question: Which of the two landscapes in the photos below do you think is most worthy of preservation?
Technical description: [Asked if r12group = 3 or 4 and r12km1_ran1 = 2. Experiment with pictures of landscapes. Out of 6 possible pictures, 3 random pairs are drawn. See background variables. Please contact Endre Tvinnereim () for more information.]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Tick for landscape A 371 26.3% 0.262561925
2 Equally/don’t know 642 45.4% 0.454352442
3 Tick for landscape B 391 27.7% 0.276716207
97 Not answered 9 0.6% 0.006369427
98 Not asked 5780 NA


r12km1_b_3_txt


Variable label: You can give the reasons for your choice here if you wish: [Data withheld for the sake of anonymity]
Literal question: You can give the reasons for your choice here if you wish:
Technical description:

[Asked if r12group = 3 or 4 and r12km1_ran1 = 2. Experiment with pictures of landscapes. Out of 6 possible pictures, 3 random pairs are drawn. See background variables. Please contact Endre Tvinnereim () for more information.]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12km2_1


Variable label: Best use of forest area: Plant new similar forest.
Pre-question text:

Imagine the following scenario near your home: A powerful storm has ravaged an entire spruce forest, which was previously planted for harvesting timber. In cooperation with the landowner, the authorities will now assess what to do with the area.

What do you think is the best thing to do? Imagine that the areas where the spruce forest stood are equally suited to all the following options for use.
Literal question: Plant a new forest of the same type (spruce)
Post-question: Please select one or two of the options below:
Technical description: [Asked if r12group = 3 or 4 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Plant a new forest of the same type (spruce) 1134 39.5% 0.3947094
97 Not answered 0 0% 0.0000000
98 Not asked 4320 NA
0 1739 60.5% 0.6052906


r12km2_2


Variable label: Best use of forest area: Leave the area alone so that a new mixed forest can grow naturally.
Pre-question text:

Imagine the following scenario near your home: A powerful storm has ravaged an entire spruce forest, which was previously planted for harvesting timber. In cooperation with the landowner, the authorities will now assess what to do with the area.

What do you think is the best thing to do? Imagine that the areas where the spruce forest stood are equally suited to all the following options for use.
Literal question: Leave the area alone so that a new mixed forest can grow naturally
Post-question: Please select one or two of the options below:
Technical description: [Asked if r12group = 3 or 4 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Leave the area alone so that a new mixed forest can grow naturally 1147 39.9% 0.3992342
97 Not answered 0 0% 0.0000000
98 Not asked 4320 NA
0 1726 60.1% 0.6007658


r12km2_3


Variable label: Best use of forest area: Farming.
Pre-question text:

Imagine the following scenario near your home: A powerful storm has ravaged an entire spruce forest, which was previously planted for harvesting timber. In cooperation with the landowner, the authorities will now assess what to do with the area.

What do you think is the best thing to do? Imagine that the areas where the spruce forest stood are equally suited to all the following options for use.
Literal question: Use the site for farming
Post-question: Please select one or two of the options below:
Technical description: [Asked if r12group = 3 or 4 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Use the site for farming 494 17.2% 0.1719457
97 Not answered 0 0% 0.0000000
98 Not asked 4320 NA
0 2379 82.8% 0.8280543


r12km2_4


Variable label: Best use of forest area: Grazing.
Pre-question text:

Imagine the following scenario near your home: A powerful storm has ravaged an entire spruce forest, which was previously planted for harvesting timber. In cooperation with the landowner, the authorities will now assess what to do with the area.

What do you think is the best thing to do? Imagine that the areas where the spruce forest stood are equally suited to all the following options for use.
Literal question: Use the area for grazing (e.g. sheep, cattle)
Post-question: Please select one or two of the options below:
Technical description: [Asked if r12group = 3 or 4 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Use the area for grazing (e.g. sheep, cattle) 799 27.8% 0.2781065
97 Not answered 0 0% 0.0000000
98 Not asked 4320 NA
0 2074 72.2% 0.7218935


r12km2_5


Variable label: Best use of forest area: Cabin development.
Pre-question text:

Imagine the following scenario near your home: A powerful storm has ravaged an entire spruce forest, which was previously planted for harvesting timber. In cooperation with the landowner, the authorities will now assess what to do with the area.

What do you think is the best thing to do? Imagine that the areas where the spruce forest stood are equally suited to all the following options for use.
Literal question: Use the area for a cabin development
Post-question: Please select one or two of the options below:
Technical description: [Asked if r12group = 3 or 4 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Use the area for a cabin development 55 1.9% 0.01914375
97 Not answered 0 0% 0.00000000
98 Not asked 4320 NA
0 2818 98.1% 0.98085625


r12km2_txt


Variable label: Comment [r12km2]. [Data withheld for the sake of anonymity]
Literal question: If you have any comments, please write them here:
Technical description:

[Asked if r12group = 3 or 4 ]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12km3_ranlabel1


Variable label: [Randomizes if r12group = 3 or 4. Randomly selects either r12km3_2 or r12km3_3]
Technical description: [Randomizes if r12group = 3 or 4. Randomly selects either r12km3_2 or r12km3_3]
Technical attributes: [Format:numeric] [Valid:2873] [Invalid:4320] [Range:1-2]

Value Label Cases Percentage
1 Selects r12km3_2 1473 51.3% 0.5127045
2 Selects r12km3_2 1400 48.7% 0.4872955
Sysmiss 4320 NA


r12km3_ranlabel2


Variable label: [Randomizes if r12group = 3 or 4. Randomly selects either r12km3_4 or r12km3_5]
Technical description: [Randomizes if r12group = 3 or 4. Randomly selects either r12km3_4 or r12km3_5]
Technical attributes: [Format:numeric] [Valid:2873] [Invalid:4320] [Range:1-2]

Value Label Cases Percentage
1 Selects r12km3_3 1488 51.8% 0.5179255
2 Selects r12km3_4 1385 48.2% 0.4820745
Sysmiss 4320 NA


r12km3_1


Variable label: Nature and environment measures: Plant spruce where there are no spruce forests already
Pre-question text: Shown below are some of the measures the Norwegian authorities are considering in connection with nature and the environment. Please give us your opinion on each of the points.
Literal question: Plant spruce where there are no spruce forests already
Technical description: [Asked if r12group = 3 or 4 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Support 496 17.3% 0.17264184
2 No opinion 625 21.8% 0.21754264
3 Do not support 1382 48.1% 0.48103028
4 Am unaware of this 338 11.8% 0.11764706
97 Not answered 32 1.1% 0.01113818
98 Not asked 4320 NA


r12km3_2


Variable label: Nature and environment measures: Protect marshes and wetlands against land reclamation (converting marshland into farmland)
Pre-question text: Shown below are some of the measures the Norwegian authorities are considering in connection with nature and the environment. Please give us your opinion on each of the points.
Literal question: Protect marshes and wetlands against land reclamation (converting marshland into farmland)
Technical description: [Asked if r12group = 3 or 4 and r12km3_ranlabel1 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Support 838 56.9% 0.568906993
2 No opinion 242 16.4% 0.164290563
3 Do not support 265 18% 0.179904956
4 Am unaware of this 117 7.9% 0.079429735
97 Not answered 11 0.7% 0.007467753
98 Not asked 5720 NA


r12km3_3


Variable label: Nature and environment measures: Prohibit land reclamation of marshes and wetlands (converting marshland to farmland)
Pre-question text: Shown below are some of the measures the Norwegian authorities are considering in connection with nature and the environment. Please give us your opinion on each of the points.
Literal question: Prohibit land reclamation of marshes and wetlands (converting marshland to farmland)
Technical description: [Asked if r12group = 3 or 4 and r12km3_ranlabel1 = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Support 535 38.2% 0.38214286
2 No opinion 290 20.7% 0.20714286
3 Do not support 415 29.6% 0.29642857
4 Am unaware of this 142 10.1% 0.10142857
97 Not answered 18 1.3% 0.01285714
98 Not asked 5793 NA


r12km3_4


Variable label: Nature and environment measures: Protect old-growth forest (virgin forest) in Norway against logging
Pre-question text: Shown below are some of the measures the Norwegian authorities are considering in connection with nature and the environment. Please give us your opinion on each of the points.
Literal question: Protect old-growth forest (virgin forest) in Norway against logging
Technical description: [Asked if r12group = 3 or 4 and r12km3_ranlabel2 = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Support 1110 74.6% 0.74596774
2 No opinion 143 9.6% 0.09610215
3 Do not support 185 12.4% 0.12432796
4 Am unaware of this 40 2.7% 0.02688172
97 Not answered 10 0.7% 0.00672043
98 Not asked 5705 NA


r12km3_5


Variable label: Nature and environment measures: Prohibit logging of old-growth forest (virgin forest) in Norway
Pre-question text: Shown below are some of the measures the Norwegian authorities are considering in connection with nature and the environment. Please give us your opinion on each of the points.
Literal question: Prohibit logging of old-growth forest (virgin forest) in Norway
Technical description: [Asked if r12group = 3 or 4 and r12km3_ranlabel2 = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Support 877 63.3% 0.63321300
2 No opinion 175 12.6% 0.12635379
3 Do not support 259 18.7% 0.18700361
4 Am unaware of this 59 4.3% 0.04259928
97 Not answered 15 1.1% 0.01083032
98 Not asked 5808 NA


r12km3_6


Variable label: Nature and environment measures: Invest in the protection of rainforests in other countries
Pre-question text: Shown below are some of the measures the Norwegian authorities are considering in connection with nature and the environment. Please give us your opinion on each of the points.
Literal question: Invest in the protection of rainforests in other countries
Technical description: [Asked if r12group = 3 or 4 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Support 1891 65.8% 0.65819701
2 No opinion 388 13.5% 0.13505047
3 Do not support 529 18.4% 0.18412809
4 Am unaware of this 35 1.2% 0.01218239
97 Not answered 30 1% 0.01044205
98 Not asked 4320 NA


r12km3_7


Variable label: Nature and environment measures: Allow abandoned farms to reforest
Pre-question text: Shown below are some of the measures the Norwegian authorities are considering in connection with nature and the environment. Please give us your opinion on each of the points.
Literal question: Allow abandoned farms to reforest
Technical description: [Asked if r12group = 3 or 4 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Support 540 18.8% 0.18795684
2 No opinion 498 17.3% 0.17333797
3 Do not support 1681 58.5% 0.58510268
4 Am unaware of this 124 4.3% 0.04316046
97 Not answered 30 1% 0.01044205
98 Not asked 4320 NA


r12km6


Variable label: Which statement best describes views on climate change.
Literal question: Based on what you know, which of the following statements best describes your view on climate change?
Post-question: Choose one option.
Technical description: [Asked if r12group = 3 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 I believe that the climate is not changing. 10 0.7% 0.007062147
2 I don't know whether the climate is changing or not. 68 4.8% 0.048022599
3 I believe that the climate is changing, but that it has little to do with human action 319 22.5% 0.225282486
4 I believe that the climate is changing, and that it to a large extent is due to human action 1007 71.1% 0.711158192
97 Not answered 12 0.8% 0.008474576
98 Not asked 5777 NA


r12km7


Variable label: To what extent is it possible to prevent harmful climate change.
Pre-question text: Let’s now assume that climate change can be a major problem for the world in the future if nothing is done about it.
Literal question: To what extent do you think it is possible to do something to prevent harmful climate change?
Post-question: Please select the statement that most closely reflects your views:
Technical description: [Asked if r12group = 3 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 It is not possible to do something to prevent harmful climate change. 54 3.8% 0.038135593
2 It is possible, but very difficult, to do something to prevent harmful climate change. 738 52.1% 0.521186441
3 It is possible and entirely realistic to do something to prevent harmful climate change. 525 37.1% 0.370762712
4 It is easy to prevent harmful climate change. 8 0.6% 0.005649718
5 I do not consider climate change to be a problem 73 5.2% 0.051553672
97 Not answered 18 1.3% 0.012711864
98 Not asked 5777 NA


r12dv13_ran


Variable label: [Randomizes if r12group = 3. Randomly selects r12dv13a or r12dv13b]
Technical description: [Randomizes if r12group = 3. Randomly selects r12dv13a or r12dv13b]
Technical attributes: [Format:numeric] [Valid:1410] [Invalid:5783] [Range:1-2]

Value Label Cases Percentage
1 Chooses R12DV13A 689 48.9% 0.4886525
2 Chooses R12DV13B 721 51.1% 0.5113475
Sysmiss 5783 NA


r12dv13a_1


Variable label: People feel this about Norwegian politicians: Anxiety.
Pre-question text: Next up are a few questions about what people generally feel about Norwegian politicians. To what extent do people have the following feelings about Norwegian politicians as a group?
Literal question: Anxiety
Technical description: [Asked if r12group = 3 and r12dv13_ran = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 14 2% 0.02031930
2 To a great degree 45 6.5% 0.06531205
3 To some degree 228 33.1% 0.33091437
4 To a small degree 281 40.8% 0.40783745
5 Not at all 93 13.5% 0.13497823
97 Not answered 28 4.1% 0.04063861
98 Not asked 6504 NA


r12dv13a_2


Variable label: People feel this about Norwegian politicians: Fear.
Pre-question text: Next up are a few questions about what people generally feel about Norwegian politicians. To what extent do people have the following feelings about Norwegian politicians as a group?
Literal question: Fear
Technical description: [Asked if r12group = 3 and r12dv13_ran = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 10 1.5% 0.01451379
2 To a great degree 28 4.1% 0.04063861
3 To some degree 161 23.4% 0.23367199
4 To a small degree 328 47.6% 0.47605225
5 Not at all 133 19.3% 0.19303338
97 Not answered 29 4.2% 0.04208999
98 Not asked 6504 NA


r12dv13a_3


Variable label: People feel this about Norwegian politicians: Anger.
Pre-question text: Next up are a few questions about what people generally feel about Norwegian politicians. To what extent do people have the following feelings about Norwegian politicians as a group?
Literal question: Anger
Technical description: [Asked if r12group = 3 and r12dv13_ran = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 44 6.4% 0.06386067
2 To a great degree 180 26.1% 0.26124819
3 To some degree 320 46.4% 0.46444122
4 To a small degree 102 14.8% 0.14804064
5 Not at all 14 2% 0.02031930
97 Not answered 29 4.2% 0.04208999
98 Not asked 6504 NA


r12dv13a_4


Variable label: People feel this about Norwegian politicians: Envy.
Pre-question text: Next up are a few questions about what people generally feel about Norwegian politicians. To what extent do people have the following feelings about Norwegian politicians as a group?
Literal question: Envy
Technical description: [Asked if r12group = 3 and r12dv13_ran = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 9 1.3% 0.01306241
2 To a great degree 30 4.4% 0.04354136
3 To some degree 142 20.6% 0.20609579
4 To a small degree 291 42.2% 0.42235123
5 Not at all 186 27% 0.26995646
97 Not answered 31 4.5% 0.04499274
98 Not asked 6504 NA


r12dv13a_5


Variable label: People feel this about Norwegian politicians: Compassion.
Pre-question text: Next up are a few questions about what people generally feel about Norwegian politicians. To what extent do people have the following feelings about Norwegian politicians as a group?
Literal question: Compassion
Technical description: [Asked if r12group = 3 and r12dv13_ran = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 5 0.7% 0.007256894
2 To a great degree 38 5.5% 0.055152395
3 To some degree 275 39.9% 0.399129173
4 To a small degree 272 39.5% 0.394775036
5 Not at all 70 10.2% 0.101596517
97 Not answered 29 4.2% 0.042089985
98 Not asked 6504 NA


r12dv13a_6


Variable label: People feel this about Norwegian politicians: Feel sorry for them.
Pre-question text: Next up are a few questions about what people generally feel about Norwegian politicians. To what extent do people have the following feelings about Norwegian politicians as a group?
Literal question: Feel sorry for them
Technical description: [Asked if r12group = 3 and r12dv13_ran = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 3 0.4% 0.004354136
2 To a great degree 19 2.8% 0.027576197
3 To some degree 178 25.8% 0.258345428
4 To a small degree 320 46.4% 0.464441219
5 Not at all 138 20% 0.200290276
97 Not answered 31 4.5% 0.044992743
98 Not asked 6504 NA


r12dv13a_7


Variable label: People feel this about Norwegian politicians: Pride.
Pre-question text: Next up are a few questions about what people generally feel about Norwegian politicians. To what extent do people have the following feelings about Norwegian politicians as a group?
Literal question: Pride
Technical description: [Asked if r12group = 3 and r12dv13_ran = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 3 0.4% 0.004354136
2 To a great degree 62 9% 0.089985486
3 To some degree 292 42.4% 0.423802612
4 To a small degree 248 36% 0.359941945
5 Not at all 55 8% 0.079825835
97 Not answered 29 4.2% 0.042089985
98 Not asked 6504 NA


r12dv13a_8


Variable label: People feel this about Norwegian politicians: Admiration.
Pre-question text: Next up are a few questions about what people generally feel about Norwegian politicians. To what extent do people have the following feelings about Norwegian politicians as a group?
Literal question: Admiration
Technical description: [Asked if r12group = 3 and r12dv13_ran = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 4 0.6% 0.005805515
2 To a great degree 54 7.8% 0.078374456
3 To some degree 288 41.8% 0.417997097
4 To a small degree 249 36.1% 0.361393324
5 Not at all 63 9.1% 0.091436865
97 Not answered 31 4.5% 0.044992743
98 Not asked 6504 NA


r12dv13a_9


Variable label: People feel this about Norwegian politicians: Disgust.
Pre-question text: Next up are a few questions about what people generally feel about Norwegian politicians. To what extent do people have the following feelings about Norwegian politicians as a group?
Literal question: Disgust
Technical description: [Asked if r12group = 3 and r12dv13_ran = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 21 3% 0.03047896
2 To a great degree 93 13.5% 0.13497823
3 To some degree 210 30.5% 0.30478955
4 To a small degree 227 32.9% 0.32946299
5 Not at all 110 16% 0.15965167
97 Not answered 28 4.1% 0.04063861
98 Not asked 6504 NA


r12dv13a_10


Variable label: People feel this about Norwegian politicians: Contempt.
Pre-question text: Next up are a few questions about what people generally feel about Norwegian politicians. To what extent do people have the following feelings about Norwegian politicians as a group?
Literal question: Contempt
Technical description: [Asked if r12group = 3 and r12dv13_ran = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 22 3.2% 0.03193033
2 To a great degree 100 14.5% 0.14513788
3 To some degree 230 33.4% 0.33381713
4 To a small degree 212 30.8% 0.30769231
5 Not at all 98 14.2% 0.14223512
97 Not answered 27 3.9% 0.03918723
98 Not asked 6504 NA


r12dv13b_1


Variable label: Personal feeling about Norwegian politicians: Anxiety.
Pre-question text: Next up are a few questions about what you personally feel about Norwegian politicians. To what extent do you have the following feelings about Norwegian politicians as a group?
Literal question: Anxiety
Technical description: [Asked if r12group = 3 and r12dv13_ran = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 19 2.6% 0.02635229
2 To a great degree 58 8% 0.08044383
3 To some degree 211 29.3% 0.29264910
4 To a small degree 231 32% 0.32038835
5 Not at all 191 26.5% 0.26490985
97 Not answered 11 1.5% 0.01525659
98 Not asked 6472 NA


r12dv13b_2


Variable label: Personal feeling about Norwegian politicians: Fear.
Pre-question text: Next up are a few questions about what you personally feel about Norwegian politicians. To what extent do you have the following feelings about Norwegian politicians as a group?
Literal question: Fear
Technical description: [Asked if r12group = 3 and r12dv13_ran = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 12 1.7% 0.01664355
2 To a great degree 36 5% 0.04993065
3 To some degree 144 20% 0.19972261
4 To a small degree 268 37.2% 0.37170596
5 Not at all 250 34.7% 0.34674064
97 Not answered 11 1.5% 0.01525659
98 Not asked 6472 NA


r12dv13b_3


Variable label: Personal feeling about Norwegian politicians: Anger.
Pre-question text: Next up are a few questions about what you personally feel about Norwegian politicians. To what extent do you have the following feelings about Norwegian politicians as a group?
Literal question: Anger
Technical description: [Asked if r12group = 3 and r12dv13_ran = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 33 4.6% 0.04576976
2 To a great degree 96 13.3% 0.13314840
3 To some degree 280 38.8% 0.38834951
4 To a small degree 197 27.3% 0.27323162
5 Not at all 103 14.3% 0.14285714
97 Not answered 12 1.7% 0.01664355
98 Not asked 6472 NA


r12dv13b_4


Variable label: Personal feeling about Norwegian politicians: Envy.
Pre-question text: Next up are a few questions about what you personally feel about Norwegian politicians. To what extent do you have the following feelings about Norwegian politicians as a group?
Literal question: Envy
Technical description: [Asked if r12group = 3 and r12dv13_ran = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 2 0.3% 0.002773925
2 To a great degree 12 1.7% 0.016643551
3 To some degree 33 4.6% 0.045769764
4 To a small degree 142 19.7% 0.196948682
5 Not at all 517 71.7% 0.717059639
97 Not answered 15 2.1% 0.020804438
98 Not asked 6472 NA


r12dv13b_5


Variable label: Personal feeling about Norwegian politicians: Compassion.
Pre-question text: Next up are a few questions about what you personally feel about Norwegian politicians. To what extent do you have the following feelings about Norwegian politicians as a group?
Literal question: Compassion
Technical description: [Asked if r12group = 3 and r12dv13_ran = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 5 0.7% 0.006934813
2 To a great degree 57 7.9% 0.079056865
3 To some degree 302 41.9% 0.418862691
4 To a small degree 213 29.5% 0.295423024
5 Not at all 132 18.3% 0.183079057
97 Not answered 12 1.7% 0.016643551
98 Not asked 6472 NA


r12dv13b_6


Variable label: Personal feeling about Norwegian politicians: Feel sorry for them.
Pre-question text: Next up are a few questions about what you personally feel about Norwegian politicians. To what extent do you have the following feelings about Norwegian politicians as a group?
Literal question: Feel sorry for them
Technical description: [Asked if r12group = 3 and r12dv13_ran = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 6 0.8% 0.008321775
2 To a great degree 24 3.3% 0.033287101
3 To some degree 171 23.7% 0.237170596
4 To a small degree 261 36.2% 0.361997226
5 Not at all 246 34.1% 0.341192788
97 Not answered 13 1.8% 0.018030513
98 Not asked 6472 NA


r12dv13b_7


Variable label: Personal feeling about Norwegian politicians: Pride.
Pre-question text: Next up are a few questions about what you personally feel about Norwegian politicians. To what extent do you have the following feelings about Norwegian politicians as a group?
Literal question: Pride
Technical description: [Asked if r12group = 3 and r12dv13_ran = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 5 0.7% 0.006934813
2 To a great degree 68 9.4% 0.094313454
3 To some degree 263 36.5% 0.364771151
4 To a small degree 244 33.8% 0.338418863
5 Not at all 127 17.6% 0.176144244
97 Not answered 14 1.9% 0.019417476
98 Not asked 6472 NA


r12dv13b_8


Variable label: Personal feeling about Norwegian politicians: Admiration.
Pre-question text: Next up are a few questions about what you personally feel about Norwegian politicians. To what extent do you have the following feelings about Norwegian politicians as a group?
Literal question: Admiration
Technical description: [Asked if r12group = 3 and r12dv13_ran = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 8 1.1% 0.01109570
2 To a great degree 50 6.9% 0.06934813
3 To some degree 261 36.2% 0.36199723
4 To a small degree 254 35.2% 0.35228849
5 Not at all 136 18.9% 0.18862691
97 Not answered 12 1.7% 0.01664355
98 Not asked 6472 NA


r12dv13b_9


Variable label: Personal feeling about Norwegian politicians: Disgust.
Pre-question text: Next up are a few questions about what you personally feel about Norwegian politicians. To what extent do you have the following feelings about Norwegian politicians as a group?
Literal question: Disgust
Technical description: [Asked if r12group = 3 and r12dv13_ran = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 9 1.2% 0.01248266
2 To a great degree 41 5.7% 0.05686546
3 To some degree 145 20.1% 0.20110957
4 To a small degree 230 31.9% 0.31900139
5 Not at all 284 39.4% 0.39389736
97 Not answered 12 1.7% 0.01664355
98 Not asked 6472 NA


r12dv13b_10


Variable label: Personal feeling about Norwegian politicians: Contempt.
Pre-question text: Next up are a few questions about what you personally feel about Norwegian politicians. To what extent do you have the following feelings about Norwegian politicians as a group?
Literal question: Contempt
Technical description: [Asked if r12group = 3 and r12dv13_ran = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 18 2.5% 0.02496533
2 To a great degree 35 4.9% 0.04854369
3 To some degree 138 19.1% 0.19140083
4 To a small degree 213 29.5% 0.29542302
5 Not at all 300 41.6% 0.41608877
97 Not answered 17 2.4% 0.02357836
98 Not asked 6472 NA


r12meme2


Variable label: How likely is it that you could ever imagine voting for the Progress Party?
Literal question: How likely is it that you could ever imagine voting for the Progress Party?
Technical description: [Asked if r12group = 4 or 5 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Highly likely 261 8.8% 0.088474576
2 Likely 235 8% 0.079661017
3 Somewhat likely 367 12.4% 0.124406780
4 Not very likely 650 22% 0.220338983
5 Not at all likely 1422 48.2% 0.482033898
97 Not answered 15 0.5% 0.005084746
98 Not asked 4243 NA


r12meme3


Variable label: Reason [r12meme2]. [Data withheld for the sake of anonymity]
Literal question: Can you give your reasons as to why?
Post-question: You can be brief or write at length. We are looking for all types of answers.
Technical description:

[Asked if r12group = 4 or 5 and r12meme2 = 1 | 2 | 3 | 4 | 5 ]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12meme4


Variable label: How important is immigration policy to you personally?
Literal question: How important is immigration policy to you personally?
Technical description: [Asked if r12group = 4 or 5 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 458 15.5% 0.155254237
2 Important 1262 42.8% 0.427796610
3 Somewhat important 999 33.9% 0.338644068
4 Slightly important 196 6.6% 0.066440678
5 Not important at all 26 0.9% 0.008813559
97 Not answered 9 0.3% 0.003050847
98 Not asked 4243 NA


r12meme1_ran


Variable label: [Randomizes if r12group = 5. Randomly selects text element for r12meme1]
Technical description: [Randomizes if r12group = 5. Randomly selects text element for r12meme1]
Technical attributes: [Format:numeric] [Valid:1493] [Invalid:5700] [Range:1-2]

Value Label Cases Percentage
1 Norway 782 52.4% 0.5237776
2 the local community 711 47.6% 0.4762224
Sysmiss 5700 NA


r12meme1


Variable label: How great advantage/disadvantage for [Norway/the local community] that immigrants come to live here.
Literal question: In your opinion how great an advantage or disadvantage is it for [Norway/the local community] that immigrants come to live here?
Technical description: [Asked if r12group = 5 The wording of the question depends on the randomized value in r12meme1_ran]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very great advantage 37 2.5% 0.024782317
2 Great advantage 211 14.1% 0.141326189
3 Slightly advantageous 496 33.2% 0.332217013
4 Neither an advantage nor a disadvantage 373 25% 0.249832552
5 A slight disadvantage 253 16.9% 0.169457468
6 A great disadvantage 71 4.8% 0.047555258
7 Very great disadvantage 45 3% 0.030140656
97 7 0.5% 0.004688547
98 5700 NA


r12dv15_ran


Variable label: [Randomizes if r12group = 5. Randomly selects text element for r12dv15]
Technical description: [Randomizes if r12group = 5. Randomly selects text element for r12dv15]
Technical attributes: [Format:numeric] [Valid:1493] [Invalid:5700] [Range:1-3]

Value Label Cases Percentage
1 put more emphasis on 503 33.7% 0.3369056
2 put less emphasis on 499 33.4% 0.3342264
3 reflect 491 32.9% 0.3288681
Sysmiss 5700 NA


r12dv15


Variable label: Agree/disagree: Primary- and lower school books should [put more emphasis on/put less emphasis on/reflect] Norway’s cultural diversity.
Pre-question text: How much do you agree or disagree with the following statement:
Literal question: Primary and lower secondary school textbooks should be written so that they [put more emphasis on/put less emphasis on/reflect] the new cultural diversity in Norway.
Technical description: [Asked if r12group = 5. The wording of the question depends on the randomized value in r12dv15_ran]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 111 7.4% 0.074346952
2 Agree 312 20.9% 0.208975218
3 Agree somewhat 324 21.7% 0.217012726
4 Neither agree nor disagree 248 16.6% 0.166108506
5 Disagree somewhat 176 11.8% 0.117883456
6 Disagree 228 15.3% 0.152712659
7 Strongly disagree 89 6% 0.059611520
97 Not answered 5 0.3% 0.003348962
98 Not asked 5700 NA


r12meme6


Variable label: How good or poor are preconditions for integrating refugees in Norway.
Literal question: As you see it, how good or poor are the preconditions in Norwegian society for integrating refugees?
Technical description: [Asked if r12group = 5 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 74 5% 0.049564635
2 Good 467 31.3% 0.312793034
3 Somewhat good 381 25.5% 0.255190891
4 Neither good nor bad 183 12.3% 0.122572003
5 Somewhat poordårlige 215 14.4% 0.144005358
6 Poor 122 8.2% 0.081714668
7 Very poor 38 2.5% 0.025452110
97 Not answered 13 0.9% 0.008707301
98 Not asked 5700 NA


r12meme7_1


Variable label: Responsibility for integrating immigrants should lie with: You personally.
Pre-question text: To what extent do you believe the responsibility for integrating immigrants should lie with:
Literal question: You personally
Technical description: [Asked if r12group = 5 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 100 6.7% 0.06697924
2 To a great degree 347 23.2% 0.23241795
3 To some degree 647 43.3% 0.43335566
4 To a small degree 210 14.1% 0.14065640
5 Not at all 103 6.9% 0.06898861
97 Not answered 86 5.8% 0.05760214
98 Not asked 5700 NA


r12meme7_2


Variable label: Responsibility for integrating immigrants should lie with: Local community and voluntary organisations.
Pre-question text: To what extent do you believe the responsibility for integrating immigrants should lie with:
Literal question: The local community and voluntary organisations
Technical description: [Asked if r12group = 5 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 166 11.1% 0.11118553
2 To a great degree 587 39.3% 0.39316812
3 To some degree 533 35.7% 0.35699933
4 To a small degree 92 6.2% 0.06162090
5 Not at all 40 2.7% 0.02679169
97 Not answered 75 5% 0.05023443
98 Not asked 5700 NA


r12meme7_3


Variable label: Responsibility for integrating immigrants should lie with: Public institutions.
Pre-question text: To what extent do you believe the responsibility for integrating immigrants should lie with:
Literal question: Public institutions
Technical description: [Asked if r12group = 5 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 510 34.2% 0.341594106
2 To a great degree 679 45.5% 0.454789015
3 To some degree 219 14.7% 0.146684528
4 To a small degree 25 1.7% 0.016744809
5 Not at all 14 0.9% 0.009377093
97 Not answered 46 3.1% 0.030810449
98 Not asked 5700 NA


r12meme7_4


Variable label: Responsibility for integrating immigrants should lie with: Immigrants themselves.
Pre-question text: To what extent do you believe the responsibility for integrating immigrants should lie with:
Literal question: Immigrants themselves
Technical description: [Asked if r12group = 5 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 642 43% 0.430006698
2 To a great degree 644 43.1% 0.431346283
3 To some degree 140 9.4% 0.093770931
4 To a small degree 10 0.7% 0.006697924
5 Not at all 12 0.8% 0.008037508
97 Not answered 45 3% 0.030140656
98 Not asked 5700 NA


r12meme7_txt


Variable label: Other[r12meme7]. [Data withheld for the sake of anonymity]
Pre-question text: To what extent do you believe the responsibility for integrating immigrants should lie with:
Literal question: Other. Fill in:
Technical description: [Asked if r12group = 5 ] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12vbs14_ran1


Variable label: [Randomizes if r12group = 4. Background variable for VBS experiment. Randomly selects name for r12vbs14_1 and r12vbs14_2]
Technical description: [Randomizes if r12group = 4. Background variable for VBS experiment. Randomly selects name for r12vbs14_1 and r12vbs14_2]
Technical attributes: [Format:numeric] [Valid:1452] [Invalid:5741] [Range:1-2]

Value Label Cases Percentage
1 The situation is about Kari 717 49.4% 0.4938017
2 The situation is about Zita 735 50.6% 0.5061983
Sysmiss 5741 NA


r12vbs14_ran2


Variable label: [Randomizes if r12group = 4. Background variable for VBS experiment. Randomly selects description of Zita for r12vbs141 and r12vbs14_2. Not relevant if r12vbs14_ran1 = 1]
Technical description: [Randomizes if r12group = 4. Background variable for VBS experiment. Randomly selects description of Zita for r12vbs141 and r12vbs14_2. Not relevant if r12vbs14_ran1 = 1]
Technical attributes: [Format:numeric] [Valid:735] [Invalid:6458] [Range:1-3]

Value Label Cases Percentage
1 Zita is a Norwegian citizen of immigrant background 262 35.6% 0.3564626
2 Zita is a foreign citizen with legal residence in Norway 216 29.4% 0.2938776
3 Zita is in Norway without a legal stay 257 35% 0.3496599
Sysmiss 6458 NA


r12vbs14_ran3


Variable label: [Randomizes if r12group = 4. Background variable for VBS experiment. Randomly selects 12vbs14_1 or question wording for r12vbs14_2]
Technical description: [Randomizes if r12group = 4. Background variable for VBS experiment. Randomly selects 12vbs14_1 or question wording for r12vbs14_2]
Technical attributes: [Format:numeric] [Valid:1452] [Invalid:5741] [Range:1-3]

Value Label Cases Percentage
1 The respondent only gets r12vbs14_2 471 32.4% 0.3243802
2 What she experiences is a violation of human rights 508 35% 0.3498623
3 What she experiences is a violation of Norwegian values 473 32.6% 0.3257576
Sysmiss 5741 NA


r12vbs14_1


Variable label: What she is experiencing is a violation of [human rights / Norwegian values]
Pre-question text: [Kari has a very low income. She often has to skip meals and eat smaller portions than is healthy. Sometimes a whole day or longer goes by without her eating anything.] / [[Zita is a Norwegian citizen with an immigrant background / Zita is a foreign citizen with legal residence in Norway / Zita is in Norway without legal residence]. She has a very low income. She often has to skip meals and eat smaller portions than is healthy. Sometimes a whole day or longer goes by without her eating anything.]
Literal question: To what extent do you agree or disagree with the following statement: What she is experiencing is a violation of [human rights / Norwegian values].
Technical description: [Asked if r12group = 4 and r12vbs14_ran3 = 2 or r12vbs14_ran3 = 3. VBS experiment. See background variables.]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 275 28% 0.280326198
2 Agree 309 31.5% 0.314984709
3 Agree somewhat 162 16.5% 0.165137615
4 Neither agree nor disagree 115 11.7% 0.117227319
5 Disagree somewhat 39 4% 0.039755352
6 Disagree 52 5.3% 0.053007136
7 Strongly disagree 21 2.1% 0.021406728
97 Not answered 8 0.8% 0.008154944
98 Not asked 6212 NA


r12vbs14_2


Variable label: To what extent do you agree or disagree that [Kari/Zita] should receive additional benefits from the state?
Pre-question text: Some believe that [Kari/Zita] should receive additional benefits from the state in order to improve her situation, even if this means there will be fewer state funds for other purposes. Others disagree.
Literal question: To what extent do you agree or disagree that [Kari/Zita] should receive additional benefits from the state?
Technical description: [Asked if r12group = 4 . VBS experiment. See background variables.]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 272 18.7% 0.187327824
2 Agree 439 30.2% 0.302341598
3 Agree somewhat 345 23.8% 0.237603306
4 Neither agree nor disagree 161 11.1% 0.110881543
5 Disagree somewhat 95 6.5% 0.065426997
6 Disagree 78 5.4% 0.053719008
7 Strongly disagree 51 3.5% 0.035123967
97 Not answered 11 0.8% 0.007575758
98 Not asked 5741 NA


r12meme5_1


Variable label: How fitting for you personally: Important for me to be unprejudiced toward 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 r12group = 4 or 5 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 629 21.3% 0.21322034
2 Good 1184 40.1% 0.40135593
3 Somewhat good 476 16.1% 0.16135593
4 Neither good nor bad 402 13.6% 0.13627119
5 Somewhat bad 89 3% 0.03016949
6 Bad 61 2.1% 0.02067797
7 Very bad 43 1.5% 0.01457627
97 Not answered 66 2.2% 0.02237288
98 Not asked 4243 NA


r12meme5_2


Variable label: How fitting for you personally: Don’t want to appear racist, 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 r12group = 4 or 5 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 789 26.7% 0.26745763
2 Good 1019 34.5% 0.34542373
3 Somewhat good 353 12% 0.11966102
4 Neither good nor bad 453 15.4% 0.15355932
5 Somewhat bad 113 3.8% 0.03830508
6 Bad 80 2.7% 0.02711864
7 Very bad 63 2.1% 0.02135593
97 Not answered 80 2.7% 0.02711864
98 Not asked 4243 NA


r12meme5_3


Variable label: How fitting for you personally: 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 r12group = 4 or 5 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 179 6.1% 0.06067797
2 Good 514 17.4% 0.17423729
3 Somewhat good 506 17.2% 0.17152542
4 Neither good nor bad 887 30.1% 0.30067797
5 Somewhat bad 232 7.9% 0.07864407
6 Bad 327 11.1% 0.11084746
7 Very bad 223 7.6% 0.07559322
97 Not answered 82 2.8% 0.02779661
98 Not asked 4243 NA


r12meme5_4


Variable label: How fitting for you personally: Try to be unprejudiced toward immigrants due to 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 r12group = 4 or 5 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 570 19.3% 0.19322034
2 Good 1180 40% 0.40000000
3 Somewhat good 496 16.8% 0.16813559
4 Neither good nor bad 444 15.1% 0.15050847
5 Somewhat bad 84 2.8% 0.02847458
6 Bad 58 2% 0.01966102
7 Very bad 46 1.6% 0.01559322
97 Not answered 72 2.4% 0.02440678
98 Not asked 4243 NA


r12meme8


Variable label: How often think, read, or talk about the refugee crisis.
Pre-question text: In 2015, more than 31 000 people sought asylum in Norway.
Literal question: When it comes to you personally, how often would you say you think about, read or talk about something that deals with this refugee crisis?
Technical description: [Asked if r12group = 5 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Every day 88 5.9% 0.05894173
2 Weekly 306 20.5% 0.20495646
3 A few times a month 395 26.5% 0.26456798
4 Less often, but it happens 591 39.6% 0.39584729
5 Never 91 6.1% 0.06095111
97 Not answered 22 1.5% 0.01473543
98 Not asked 5700 NA


r12meme9_ran


Variable label: [Randomizes if r12group = 4 or 5. Randomly selects text element for r12meme9]
Technical description: [Randomizes if r12group = 4 or 5. Randomly selects text element for r12meme9]
Technical attributes: [Format:numeric] [Valid:2924] [Invalid:4269] [Range:1-2]

Value Label Cases Percentage
1 your local community 1434 49% 0.4904241
2 Norway 1490 51% 0.5095759
Sysmiss 4269 NA


r12meme9


Variable label: Has something changed in [your local community/Norway] because of refugee crisis.
Literal question: As you see it, has something changed in [your local community/Norway] as a result of the 2015 refugee crisis?
Technical description: [Asked if r12group = 4 or 5. The wording of the question depends on the randomized value in r12meme9_ran]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 1392 47.2% 0.47186441
2 No 1457 49.4% 0.49389831
97 Not answered 101 3.4% 0.03423729
98 Not asked 4243 NA


r12meme9_txt


Variable label: Reason [r12meme9] [Data withheld for the sake of anonymity]
Literal question: Please give the reasons for your response in the text box below.
Post-question: You can be brief or write at length. We are looking for all types of answers
Technical description:

[Asked if r12group = 4 or 5 ]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12dv12_ran


Variable label: [Randomizes if r12group = 5. Randomly selects either r12dv12a or r12dv12b]
Technical description: [Randomizes if r12group = 5. Randomly selects either r12dv12a or r12dv12b]
Technical attributes: [Format:numeric] [Valid:1472] [Invalid:5721] [Range:1-2]

Value Label Cases Percentage
1 Gets R12DV12A 746 50.7% 0.5067935
2 Gets R12DV12B 726 49.3% 0.4932065
Sysmiss 5721 NA


r12dv12a_1


Variable label: People generally feel this about immigrants: Anxiety.
Pre-question text: Next up are a few questions about what people generally feel about immigrants. To what extent do people have the following feelings about immigrants as a group?
Literal question: Anxiety
Technical description: [Asked if r12group = 5 and r12dv12_ran = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 47 6.3% 0.06300268
2 To a great degree 193 25.9% 0.25871314
3 To some degree 377 50.5% 0.50536193
4 To a small degree 76 10.2% 0.10187668
5 Not at all 24 3.2% 0.03217158
97 Not answered 29 3.9% 0.03887399
98 Not asked 6447 NA


r12dv12a_2


Variable label: People generally feel this about immigrants: Fear.
Pre-question text: Next up are a few questions about what people generally feel about immigrants. To what extent do people have the following feelings about immigrants as a group?
Literal question: Fear
Technical description: [Asked if r12group = 5 and r12dv12_ran = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 39 5.2% 0.05227882
2 To a great degree 158 21.2% 0.21179625
3 To some degree 344 46.1% 0.46112601
4 To a small degree 145 19.4% 0.19436997
5 Not at all 30 4% 0.04021448
97 Not answered 30 4% 0.04021448
98 Not asked 6447 NA


r12dv12a_3


Variable label: People generally feel this about immigrants: Anger.
Pre-question text: Next up are a few questions about what people generally feel about immigrants. To what extent do people have the following feelings about immigrants as a group?
Literal question: Anger
Technical description: [Asked if r12group = 5 and r12dv12_ran = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 24 3.2% 0.03217158
2 To a great degree 114 15.3% 0.15281501
3 To some degree 292 39.1% 0.39142091
4 To a small degree 234 31.4% 0.31367292
5 Not at all 46 6.2% 0.06166220
97 Not answered 36 4.8% 0.04825737
98 Not asked 6447 NA


r12dv12a_4


Variable label: People generally feel this about immigrants: Envy.
Pre-question text: Next up are a few questions about what people generally feel about immigrants. To what extent do people have the following feelings about immigrants as a group?
Literal question: Envy
Technical description: [Asked if r12group = 5 and r12dv12_ran = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 10 1.3% 0.01340483
2 To a great degree 44 5.9% 0.05898123
3 To some degree 165 22.1% 0.22117962
4 To a small degree 294 39.4% 0.39410188
5 Not at all 197 26.4% 0.26407507
97 Not answered 36 4.8% 0.04825737
98 Not asked 6447 NA


r12dv12a_5


Variable label: People generally feel this about immigrants: Compasison.
Pre-question text: Next up are a few questions about what people generally feel about immigrants. To what extent do people have the following feelings about immigrants as a group?
Literal question: Compassion
Technical description: [Asked if r12group = 5 and r12dv12_ran = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 23 3.1% 0.03083110
2 To a great degree 231 31% 0.30965147
3 To some degree 365 48.9% 0.48927614
4 To a small degree 78 10.5% 0.10455764
5 Not at all 18 2.4% 0.02412869
97 Not answered 31 4.2% 0.04155496
98 Not asked 6447 NA


r12dv12a_6


Variable label: People generally feel this about immigrants: Feel sorry for them.
Pre-question text: Next up are a few questions about what people generally feel about immigrants. To what extent do people have the following feelings about immigrants as a group?
Literal question: Feel sorry for them
Technical description: [Asked if r12group = 5 and r12dv12_ran = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 22 2.9% 0.02949062
2 To a great degree 164 22% 0.21983914
3 To some degree 394 52.8% 0.52815013
4 To a small degree 112 15% 0.15013405
5 Not at all 23 3.1% 0.03083110
97 Not answered 31 4.2% 0.04155496
98 Not asked 6447 NA


r12dv12a_7


Variable label: People generally feel this about immigrants: Pride.
Pre-question text: Next up are a few questions about what people generally feel about immigrants. To what extent do people have the following feelings about immigrants as a group?
Literal question: Pride
Technical description: [Asked if r12group = 5 and r12dv12_ran = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 1 0.1% 0.001340483
2 To a great degree 24 3.2% 0.032171582
3 To some degree 197 26.4% 0.264075067
4 To a small degree 358 48% 0.479892761
5 Not at all 113 15.1% 0.151474531
97 Not answered 53 7.1% 0.071045576
98 Not asked 6447 NA


r12dv12a_8


Variable label: People generally feel this about immigrants: Admiration.
Pre-question text: Next up are a few questions about what people generally feel about immigrants. To what extent do people have the following feelings about immigrants as a group?
Literal question: Admiration
Technical description: [Asked if r12group = 5 and r12dv12_ran = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:2-5]

Value Label Cases Percentage
1 To a very great degree 0 0% 0.00000000
2 To a great degree 26 3.5% 0.03485255
3 To some degree 200 26.8% 0.26809651
4 To a small degree 364 48.8% 0.48793566
5 Not at all 121 16.2% 0.16219839
97 Not answered 35 4.7% 0.04691689
98 Not asked 6447 NA


r12dv12a_9


Variable label: People generally feel this about immigrants: Disgust.
Pre-question text: Next up are a few questions about what people generally feel about immigrants. To what extent do people have the following feelings about immigrants as a group?
Literal question: Disgust
Technical description: [Asked if r12group = 5 and r12dv12_ran = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 6 0.8% 0.008042895
2 To a great degree 62 8.3% 0.083109920
3 To some degree 229 30.7% 0.306970509
4 To a small degree 286 38.3% 0.383378016
5 Not at all 127 17% 0.170241287
97 Not answered 36 4.8% 0.048257373
98 Not asked 6447 NA


r12dv12a_10


Variable label: People generally feel this about immigrants: Contempt.
Pre-question text: Next up are a few questions about what people generally feel about immigrants. To what extent do people have the following feelings about immigrants as a group?
Literal question: Contempt
Technical description: [Asked if r12group = 5 and r12dv12_ran = 1 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 8 1.1% 0.01072386
2 To a great degree 49 6.6% 0.06568365
3 To some degree 233 31.2% 0.31233244
4 To a small degree 275 36.9% 0.36863271
5 Not at all 148 19.8% 0.19839142
97 Not answered 33 4.4% 0.04423592
98 Not asked 6447 NA


r12dv12b_1


Variable label: Personally feel this about immigrants: Anxiety.
Pre-question text: Next up are a few questions about what you personally feel about immigrants. To what extent do you have the following feelings about immigrants as a group?
Literal question: Anxiety
Technical description: [Asked if r12group = 5 and r12dv12_ran = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 16 2.2% 0.02203857
2 To a great degree 34 4.7% 0.04683196
3 To some degree 188 25.9% 0.25895317
4 To a small degree 322 44.4% 0.44352617
5 Not at all 144 19.8% 0.19834711
97 Not answered 22 3% 0.03030303
98 Not asked 6467 NA


r12dv12b_2


Variable label: Personally feel this about immigrants: Fear.
Pre-question text: Next up are a few questions about what you personally feel about immigrants. To what extent do you have the following feelings about immigrants as a group?
Literal question: Fear
Technical description: [Asked if r12group = 5 and r12dv12_ran = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 13 1.8% 0.01790634
2 To a great degree 30 4.1% 0.04132231
3 To some degree 120 16.5% 0.16528926
4 To a small degree 329 45.3% 0.45316804
5 Not at all 211 29.1% 0.29063361
97 Not answered 23 3.2% 0.03168044
98 Not asked 6467 NA


r12dv12b_3


Variable label: Personally feel this about immigrants: Anger.
Pre-question text: Next up are a few questions about what you personally feel about immigrants. To what extent do you have the following feelings about immigrants as a group?
Literal question: Anger
Technical description: [Asked if r12group = 5 and r12dv12_ran = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 9 1.2% 0.01239669
2 To a great degree 21 2.9% 0.02892562
3 To some degree 99 13.6% 0.13636364
4 To a small degree 257 35.4% 0.35399449
5 Not at all 315 43.4% 0.43388430
97 Not answered 25 3.4% 0.03443526
98 Not asked 6467 NA


r12dv12b_4


Variable label: Personally feel this about immigrants: Envy.
Pre-question text: Next up are a few questions about what you personally feel about immigrants. To what extent do you have the following feelings about immigrants as a group?
Literal question: Envy
Technical description: [Asked if r12group = 5 and r12dv12_ran = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 1 0.1% 0.001377410
2 To a great degree 5 0.7% 0.006887052
3 To some degree 18 2.5% 0.024793388
4 To a small degree 146 20.1% 0.201101928
5 Not at all 531 73.1% 0.731404959
97 Not answered 25 3.4% 0.034435262
98 Not asked 6467 NA


r12dv12b_5


Variable label: Personally feel this about immigrants: Compassion.
Pre-question text: Next up are a few questions about what you personally feel about immigrants. To what extent do you have the following feelings about immigrants as a group?
Literal question: Compassion
Technical description: [Asked if r12group = 5 and r12dv12_ran = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 59 8.1% 0.08126722
2 To a great degree 265 36.5% 0.36501377
3 To some degree 294 40.5% 0.40495868
4 To a small degree 63 8.7% 0.08677686
5 Not at all 25 3.4% 0.03443526
97 Not answered 20 2.8% 0.02754821
98 Not asked 6467 NA


r12dv12b_6


Variable label: Personally feel this about immigrants: Feel sorry for them.
Pre-question text: Next up are a few questions about what you personally feel about immigrants. To what extent do you have the following feelings about immigrants as a group?
Literal question: Feel sorry for them
Technical description: [Asked if r12group = 5 and r12dv12_ran = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 26 3.6% 0.03581267
2 To a great degree 152 20.9% 0.20936639
3 To some degree 359 49.4% 0.49449036
4 To a small degree 120 16.5% 0.16528926
5 Not at all 45 6.2% 0.06198347
97 Not answered 24 3.3% 0.03305785
98 Not asked 6467 NA


r12dv12b_7


Variable label: Personally feel this about immigrants: Pride.
Pre-question text: Next up are a few questions about what you personally feel about immigrants. To what extent do you have the following feelings about immigrants as a group?
Literal question: Pride
Technical description: [Asked if r12group = 5 and r12dv12_ran = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 4 0.6% 0.005509642
2 To a great degree 50 6.9% 0.068870523
3 To some degree 212 29.2% 0.292011019
4 To a small degree 253 34.8% 0.348484848
5 Not at all 164 22.6% 0.225895317
97 Not answered 43 5.9% 0.059228650
98 Not asked 6467 NA


r12dv12b_8


Variable label: Personally feel this about immigrants: Admiration.
Pre-question text: Next up are a few questions about what you personally feel about immigrants. To what extent do you have the following feelings about immigrants as a group?
Literal question: Admiration
Technical description: [Asked if r12group = 5 and r12dv12_ran = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 8 1.1% 0.01101928
2 To a great degree 96 13.2% 0.13223140
3 To some degree 262 36.1% 0.36088154
4 To a small degree 205 28.2% 0.28236915
5 Not at all 125 17.2% 0.17217631
97 Not answered 30 4.1% 0.04132231
98 Not asked 6467 NA


r12dv12b_9


Variable label: Personally feel this about immigrants: Disgust.
Pre-question text: Next up are a few questions about what you personally feel about immigrants. To what extent do you have the following feelings about immigrants as a group?
Literal question: Disgust
Technical description: [Asked if r12group = 5 and r12dv12_ran = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 4 0.6% 0.005509642
2 To a great degree 9 1.2% 0.012396694
3 To some degree 40 5.5% 0.055096419
4 To a small degree 148 20.4% 0.203856749
5 Not at all 499 68.7% 0.687327824
97 Not answered 26 3.6% 0.035812672
98 Not asked 6467 NA


r12dv12b_10


Variable label: Personally feel this about immigrants: Contempt.
Pre-question text: Next up are a few questions about what you personally feel about immigrants. To what extent do you have the following feelings about immigrants as a group?
Literal question: Contempt
Technical description: [Asked if r12group = 5 and r12dv12_ran = 2 ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great degree 3 0.4% 0.004132231
2 To a great degree 9 1.2% 0.012396694
3 To some degree 36 5% 0.049586777
4 To a small degree 132 18.2% 0.181818182
5 Not at all 514 70.8% 0.707988981
97 Not answered 32 4.4% 0.044077135
98 Not asked 6467 NA


r12arbeid


Variable label: Main activity (occupational status) last seven days.
Literal question: Which of the descriptions below best fits what you have been doing over the past 7 days?
Post-question: Tick one of the options.
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-11]

Value Label Cases Percentage
1 In full-time paid work (or temporarily absent) 3520 48.9% 0.4893646601
2 In part-time paid work (or temporarily absent) working 30 hours or more per week 362 5% 0.0503267065
3 In part-time paid work (or temporarily absent) working less than 30 hours per week 292 4.1% 0.0405950229
4 In education (not paid by an employer) 279 3.9% 0.0387877103
5 Unemployed and actively seeking a job 70 1% 0.0097316836
6 Unemployed and not actively seeking a job 44 0.6% 0.0061170583
7 Permanently sick or disabled 269 3.7% 0.0373974698
8 Retired 1850 25.7% 0.2571944946
9 In military service 5 0.1% 0.0006951203
10 Working at home, minding children or providing care to other persons 55 0.8% 0.0076463228
11 Other: 319 4.4% 0.0443486723
97 Not answered 128 1.8% 0.0177950785
98 Not asked 0 NA


r12arbeid_11_other


Variable label: Other [r12arbeid].[Data withheld for the sake of anonymity]
Literal question: Which of the descriptions below best fits what you have been doing over the past 7 days?
Post-question: Tick one of the options.
Technical description: [All respondents asked. ] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12arbeid_kodet


Variable label: Main activity (occupational status) last seven days [coded]
Literal question: Which of the descriptions below best fits what you have been doing over the past 7 days?
Post-question: Tick one of the options.
Technical description:

[All respondents asked. ]

[This variable contains the values of r12arbeid plus coded values of 12arbeid_11_other]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-11]

Value Label Cases Percentage
1 In full-time paid work (or temporarily absent) 3572 49.7% 0.4965939107
2 In part-time paid work (or temporarily absent) working 30 hours or more per week 378 5.3% 0.0525510913
3 In part-time paid work (or temporarily absent) working less than 30 hours per week 292 4.1% 0.0405950229
4 In education (not paid by an employer) 296 4.1% 0.0411511191
5 Unemployed and actively seeking a job 71 1% 0.0098707076
6 Unemployed and not actively seeking a job 44 0.6% 0.0061170583
7 Permanently sick or disabled 310 4.3% 0.0430974559
8 Retired 1879 26.1% 0.2612261921
9 In military service 5 0.1% 0.0006951203
10 Working at home, minding children or providing care to other persons 59 0.8% 0.0082024190
11 Other: 159 2.2% 0.0221048241
97 Not answered 128 1.8% 0.0177950785
98 Not asked 0 NA


r12tidlarbeid


Variable label: Have you previously had income-producing work?
Literal question: Have you previously had income-producing work?
Technical description: [Asked if (r12arbeid = 5 | 6 | 7 | 8 | 9 | 10 | 11) or (r12arbeid = 4 and r12P5_1 =< 6) . ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 2617 98.2% 0.981988743
2 No 44 1.7% 0.016510319
97 Not answered 4 0.2% 0.001500938
98 Not asked 4528 NA


r12hovedyrke


Variable label: Type of employment in main occupation.
Literal question: In your main occupation [are/were/did] you …..
Technical description: [Asked if (r12arbeid = 1 | 2 | 3) or (r12tidlarbeid = 1) . Question wording and response options vary in past / present form depending on the respondent’s previously stated answers.]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Employed 6125 90.2% 0.901929024
2 Self-employed 542 8% 0.079811515
3 [Working/Work] in a family-owned business 105 1.5% 0.015461640
97 Not answered 19 0.3% 0.002797821
98 Not asked 402 NA


r12ansatte


Variable label: Number of employees.
Literal question: How many employees [do/did] you have?
Technical description: [Asked if r12hovedyrke = 2 . Question wording and response options vary in past / present form depending on the respondent’s previously stated answers.]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 None 259 47.8% 0.4778598
2 Fewer than 10 employees 212 39.1% 0.3911439
3 More than 10 employees 71 13.1% 0.1309963
97 Not answered 0 0% 0.0000000
98 Not asked 6651 NA


r12leder


Variable label: Manage/managed how many employees.
Literal question: [Do/Did] you have responsibility for managing other employees’ work in your main job?
Technical description: [Asked if r12hovedyrke = 1 or r12hovedyrke = 3 . Question wording and response options vary in past / present form depending on the respondent’s previously stated answers.]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 No 4050 65% 0.650080257
2 Yes, I [manage/managed] 10 or more employees 1032 16.6% 0.165650080
3 Yes, I [manage/managed] fewer than 10 employees 1125 18.1% 0.180577849
97 Not answered 23 0.4% 0.003691814
98 Not asked 963 NA


r12tittel


Variable label: Title of main occupation [Data withheld for the sake of anonymity]
Literal question: What [is/was] the name or title of your main occupation?
Technical description: [Asked if (r12arbeid = 1 | 2 | 3) or r12tidlarbeid = 1 . Question wording and response options vary in past / present form depending on the respondent’s previously stated answers.] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12arbeidopp


Variable label: Type of work in main occupation.[Data withheld for the sake of anonymity]
Literal question: What kind of work [do/did] you mostly do in your main occupation?
Post-question: Please describe this so that we get a clear picture of what the work [entails/entailed].
Technical description: [Asked if (r12arbeid = 1 | 2 | 3) or r12tidlarbeid = 1. Question wording and response options vary in past / present form depending on the respondent’s previously stated answers.] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12arbeid_par


Variable label: Spouse/partner: Currently engaged in income-producing work.
Literal question: Does your spouse/partner currently have any income-producing work?
Post-question: Tick the most suitable option.
Technical description: [Asked if r12tidlarbeid = 2 . ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Yes 9 20.5% 0.20454545
2 No 13 29.5% 0.29545455
3 Do not have a spouse/partner 18 40.9% 0.40909091
4 Am a widow/widower 3 6.8% 0.06818182
97 Not answered 1 2.3% 0.02272727
98 Not asked 7149 NA


r12opp_par


Variable label: Spouse/partner: Main tasks or source of livelihood.
Literal question: What are your spouse’s/partner’s main tasks or source of livelihood?
Technical description: [Asked if r12arbeid_par = 2 . ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Student, pupil 3 23.1% 0.2307692
2 At home 0 0% 0.0000000
3 Pensioner 8 61.5% 0.6153846
4 Unemployed 2 15.4% 0.1538462
5 Early pensioner, disabled 0 0% 0.0000000
6 Conscript 0 0% 0.0000000
7 Other 0 0% 0.0000000
97 Not answered 0 0% 0.0000000
98 Not asked 7180 NA


r12tidlarb_par


Variable label: Spouse/partner: Had income-producing work prior to receiving pension/social security.
Literal question: Did your spouse/partner have income-producing work up to the time he/she started receiving a pension/social security or similar?
Technical description: [Asked if (r12opp_par = 2 | 3 | 4 | 5) or r12arbeid_par = 4 . ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 9 69.2% 0.6923077
2 No 4 30.8% 0.3076923
97 Not answered 0 0% 0.0000000
98 Not asked 7180 NA


r12hovedyrke_par


Variable label: Spouse/partner: Type of employment in main occupation.
Literal question: In their main occupation, [is/was/did] your partner/spouse …..
Technical description: [Asked if r12arbeid_par = 1 or r12tidlarb_par = 1 . Question wording and response options vary in past / present form depending on the respondent’s previously stated answers.]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 employed 15 83.3% 0.83333333
2 self-employed 1 5.6% 0.05555556
3 [work/working] in a family-owned business 1 5.6% 0.05555556
97 Not answered 1 5.6% 0.05555556
98 Not asked 7175 NA


r12ansatte_par


Variable label: Spouse/partner: Number of employees.
Literal question: How many employees [does/did] your partner/spouse have?
Technical description: [Asked if r12hovedyrke_par = 2 . Question wording and response options vary in past / present form depending on the respondent’s previously stated answers.]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-1]

Value Label Cases Percentage
1 None 1 100% 1
2 Fewer than 10 employees 0 0% 0
3 More than 10 employees 0 0% 0
97 Not answered 0 0% 0
98 Not asked 7192 NA


r12leder_par


Variable label: Spouse/partner: Manage/managed how many employees.
Literal question: [Do/Did] your partner/spouse have responsibility for managing other employees’ work in their main job?
Technical description: [Asked if r12hovedyrke_par = 1 or r12hovedyrke_par = 3 . Question wording and response options vary in past / present form depending on the respondent’s previously stated answers.]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 No 11 68.8% 0.6875
2 Yes, he/she [has/had] 10 or more employees 5 31.2% 0.3125
3 Yes, he/she [has/had] fewer than 10 employees 0 0% 0.0000
97 Not answered 0 0% 0.0000
98 Not asked 7177 NA


r12tittel_par


Variable label: Spouse/partner: Title of occupation [Data withheld for the sake of anonymity]
Literal question: What [is/was] the name or title of the main occupation of your partner/spouse?
Technical description: [Asked if r12arbeid_par = 1 or r12tidlarb_par = 1. Question wording and response options vary in past / present form depending on the respondent’s previously stated answers.] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12arbeidopp_par


Variable label: Spouse/partner: Type of work in main occupation [Data withheld for the sake of anonymity]
Literal question: What kind of work [does/did] your partner/spouse mostly do in their main occupation?
Post-question: Please describe this so that we get a clear picture of what the work [entails/entailed].
Technical description: [Asked if r12arbeid_par = 1 or r12tidlarb_par = 1. Question wording and response options vary in past / present form depending on the respondent’s previously stated answers.] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12arbeid_for


Variable label: When you were fourteen years old, who was the main breadwinner in your household?
Literal question: When you were fourteen years old, who was the main breadwinner in your household?
Technical description: [Asked if r12tidlarb_par = 2 or r12arbeid_par = 3 or (r12opp_par = 1 | 6 | 7 ). ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 My father 5 20% 0.20
2 My mother 4 16% 0.16
3 Both parents 12 48% 0.48
4 Someone else 0 0% 0.00
5 No one in the household worked 1 4% 0.04
6 Don’t know 2 8% 0.08
97 Not answered 1 4% 0.04
98 Not asked 7168 NA


r12hovedyrke_far


Variable label: Father: Type of employment in main occupation.
Literal question: In your father’s main occupation, was/did he….
Technical description: [Asked if r12arbeid_for = 1 or r12arbeid_for = 3 . ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 employed 13 76.5% 0.76470588
2 self-employed 3 17.6% 0.17647059
3 work in a family-owned business 0 0% 0.00000000
4 Don’t know 1 5.9% 0.05882353
97 Not answered 0 0% 0.00000000
98 Not asked 7176 NA


r12ansatte_far


Variable label: Father: Number of employees.
Literal question: Approximately how many employees did your father have?
Technical description: [Asked if r12hovedyrke_far = 2 . ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 None 1 33.3% 0.3333333
2 Fewer than 10 employees 1 33.3% 0.3333333
3 More than 10 employees 0 0% 0.0000000
4 Don’t know 1 33.3% 0.3333333
97 Not answered 0 0% 0.0000000
98 Not asked 7190 NA


r12leder_far


Variable label: Father: Managed how many employees.
Literal question: Did your father have responsibility for managing other employees’ work in their main job?
Technical description: [Asked if r12hovedyrke_far = 1 or r12hovedyrke_far = 3 . ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 No 9 69.2% 0.69230769
2 Yes, he managed 10 or more employees 1 7.7% 0.07692308
3 Yes, he managed fewer than 10 employees 1 7.7% 0.07692308
4 Don’t know 1 7.7% 0.07692308
97 Not answered 1 7.7% 0.07692308
98 Not asked 7180 NA


r12tittel_far


Variable label: Father: Title of occupation [Data withheld for the sake of anonymity]
Literal question: What was the name or title of your father’s main occupation?
Technical description: [Asked if r12arbeid_for = 1 or r12arbeid_for = 3 ]. [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12arbeidopp_far


Variable label: Father: Type of work in main occupation. [Data withheld for the sake of anonymity]
Literal question: What kind of work did your father mainly do in his main occupation?
Post-question: Please describe this so that we get a clear picture of what the work entailed.
Technical description: [Asked if r12arbeid_for = 1 or r12arbeid_for = 3 ]. [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12hovedyrke_mor


Variable label: Mother: Type of employment in main occupation.
Literal question: In your mother’s main occupation, was/did she….
Technical description: [Spurt dersom r12arbeid_for = 2 eller r12arbeid_for = 3 . ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 employed 11 68.8% 0.6875
2 self-employed 2 12.5% 0.1250
3 work in a family-owned business 0 0% 0.0000
4 Don’t know 1 6.2% 0.0625
97 Not answered 2 12.5% 0.1250
98 Not asked 7177 NA


r12ansatte_mor


Variable label: Mother: Number of employees.
Literal question: Approximately how many employees did your mother have?
Technical description: [Asked if r12hovedyrke_mor = 2 . ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 None 1 50% 0.5
2 Fewer than 10 employees 0 0% 0.0
3 More than 10 employees 0 0% 0.0
4 Don’t know 1 50% 0.5
97 Not answered 0 0% 0.0
98 Not asked 7191 NA


r12leder_mor


Variable label: Mother: Managed how many employees.
Literal question: Did your mother have responsibility for managing other employees’ work in their main job?
Technical description: [Asked if r12hovedyrke_mor = 1 or r12hovedyrke_mor = 3 . ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 No 7 63.6% 0.63636364
2 Yes, she managed 10 or more employees 1 9.1% 0.09090909
3 Yes, she managed fewer than 10 employees 1 9.1% 0.09090909
4 Don’t know 2 18.2% 0.18181818
97 Not answered 0 0% 0.00000000
98 Not asked 7182 NA


r12tittel_mor


Variable label: Mother: Title of occupation. [Data withheld for the sake of anonymity]
Literal question: What was the name or title of your mother’s main occupation?
Technical description: [Asked if r12arbeid_for = 2 or r12arbeid_for = 3 ]. [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12arbeidopp_mor


Variable label: Mother: Type of work in main occupation. [Data withheld for the sake of anonymity]
Literal question: What kind of work did your mother mostly do in her main occupation?
Post-question: Please describe this so that we get a clear picture of what the work entailed.
Technical description: [Asked if r12arbeid_for = 2 or r12arbeid_for = 3 ]. [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12arbeidolje_1


Variable label: Workplace in the oil or gas industry, or closely related to it.
Literal question: [Is/was] your workplace in the oil or gas industry, or closely related to it?
Technical description: [Asked if (r12arbeid = 1 | 2 | 3) or r12tidlarbeid = 1 . Question wording and response options vary in past / present form depending on the respondent’s previously stated answers.]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Yes, I [work/worked] in the oil or gas industry 289 4.3% 0.042637946
2 Yes, my work [is/was] closely related to the oil or gas industry 273 4% 0.040277368
3 No, but I previously worked in, or was closely affiliated with, the oil/gas industry 190 2.8% 0.028031868
4 No 6017 88.8% 0.887724993
97 Not answered 9 0.1% 0.001327825
98 Not asked 415 NA


r12arbeidolje_2_1


Variable label: The year the first job in the oil or gas industry, or closely related to it, started. [Data withheld for the sake of anonymity]
Literal question: When did your first job in the oil or gas industry begin (or your first job closely affiliated with the oil and gas industry)?
Post-question: Indicate the year to the best of your memory.
Technical description: [Asked if r12arbeidolje_1 = 1 | 2 | 3 ] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:numeric] [Valid:0] [Invalid:7193] [Range:-]



r12arbeidolje_2_txt


Variable label: Comment [r12arbeidolje][Data withheld for the sake of anonymity]
Literal question: If you have additional comments, please write them here:
Technical description: [Asked if r12arbeidolje_1 = 1 | 2 | 3 ]. [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Format:character] [Valid:7193] [Invalid:0] [Range:-]



r12pad14_backused


Variable label: [r12pad14: Back button used]
Technical description: [For r12pad14 and r12pad15, the back button is disabled for the respondent. However, in some cases it may still be possible to override this limitation by using the navigation buttons in the browser. This register if the respondent navigated backwards in the questionnaire from r12pad14. ]
Technical attributes: [Format:numeric] [Valid:1] [Invalid:7192] [Range:1-1]

Value Label Cases Percentage
1 Back button used 1 100% 1
Sysmiss 7192 NA


r12pad14_entered


Variable label: [Registeres if the respondent has entered r12pad14 ]
Technical description: [Registeres if the respondent has entered r12pad14 ]
Technical attributes: [Format:numeric] [Valid:1403] [Invalid:5790] [Range:1-1]

Value Label Cases Percentage
1 Experiment started 1403 100% 1
Sysmiss 5790 NA


r12pad14_1


Variable label: Decision 1: Invest how much in the joint kitty.
Pre-question text: You and another person in this round of the Norwegian Citizen Panel will be drawn and paired. Each person will receive a thousand kroner that can be invested in the pair’s joint kitty. For every hundred kroner invested, an additional fifty kroner will be added to the pair’s joint kitty. Each person’s final payout is the amount the person keeps for himself/herself and does not invest, plus half the amount in the pair’s joint kitty. You and the other person will receive half of the joint kitty regardless of how much each of you chooses to invest. We ask you now to make two independent decisions. In the first decision you will not know what the other person is investing, in the next decision you will choose what you want to invest, given the investments of the other person. Which of the two decisions that will apply to the final payout will be randomly drawn. Of all the persons in the Norwegian Citizen Panel who take part in this financial experiment, we will randomly draw ten people who will receive the payout from one of his/her two decisions.
Literal question:

Decision 1: Please specify how much of your thousand kroner you would like to invest in the joint kitty.

I would like to invest…
Technical description: [Asked if r12group = 3. Economic experiment. Back button disabled.]
Technical attributes: [Format:numeric] [Valid:1284] [Invalid:5909] [Range:0-1000]



r12pad15_entered


Variable label: [Registeres if the respondent has entered r12pad15 ]
Technical description: [Registeres if the respondent has entered r12pad15 ]
Technical attributes: [Format:numeric] [Valid:1395] [Invalid:5798] [Range:1-1]

Value Label Cases Percentage
1 Has entered r12pad15 1395 100% 1
Sysmiss 5798 NA


r12pad15_backused


Variable label: [r12pad15: Back button used]
Technical description: [For r12pad14 and r12pad15, the back button is disabled for the respondent. However, in some cases it may still be possible to override this limitation by using the navigation buttons in the browser. This registeres if the respondent navigated backwards in the questionnaire from r12pad15. ]
Technical attributes: [Format:numeric] [Valid:138] [Invalid:7055] [Range:1-1]

Value Label Cases Percentage
1 Back button used 138 100% 1
Sysmiss 7055 NA


r12pad15_1


Variable label: Decision 2: Given that the other person invests 0 kroner, I choose to invest…
Pre-question text: Please indicate below how much of your thousand kroner you would like to invest in the joint kitty, given each amount the other person may choose to invest:
Literal question: Given that the other person invests 0 kroner, I choose to invest
Technical description: [Asked if r12group = 3. Economic experiment. Back button disabled.]
Technical attributes: [Format:numeric] [Valid:1047] [Invalid:6146] [Range:0-1000]



r12pad15_2


Variable label: Decision 2: Given that the other person invests 100 kroner, I choose to invest…
Pre-question text: Please indicate below how much of your thousand kroner you would like to invest in the joint kitty, given each amount the other person may choose to invest:
Literal question: Given that the other person invests 100 kroner, I choose to invest
Technical description: [Asked if r12group = 3. Economic experiment. Back button disabled.]
Technical attributes: [Format:numeric] [Valid:1027] [Invalid:6166] [Range:0-1000]



r12pad15_3


Variable label: Decision 2: Given that the other person invests 200 kroner, I choose to invest…
Pre-question text: Please indicate below how much of your thousand kroner you would like to invest in the joint kitty, given each amount the other person may choose to invest:
Literal question: Given that the other person invests 200 kroner, I choose to invest
Technical description: [Asked if r12group = 3. Economic experiment. Back button disabled.]
Technical attributes: [Format:numeric] [Valid:1020] [Invalid:6173] [Range:0-1000]



r12pad15_4


Variable label: Decision 2: Given that the other person invests 300 kroner, I choose to invest…
Pre-question text: Please indicate below how much of your thousand kroner you would like to invest in the joint kitty, given each amount the other person may choose to invest:
Literal question: Given that the other person invests 300 kroner, I choose to invest
Technical description: [Asked if r12group = 3. Economic experiment. Back button disabled.]
Technical attributes: [Format:numeric] [Valid:1017] [Invalid:6176] [Range:0-1000]



r12pad15_5


Variable label: Decision 2: Given that the other person invests 400 kroner, I choose to invest…
Pre-question text: Please indicate below how much of your thousand kroner you would like to invest in the joint kitty, given each amount the other person may choose to invest:
Literal question: Given that the other person invests 400 kroner, I choose to invest
Technical description: [Asked if r12group = 3. Economic experiment. Back button disabled.]
Technical attributes: [Format:numeric] [Valid:1014] [Invalid:6179] [Range:0-1000]



r12pad15_6


Variable label: Decision 2: Given that the other person invests 500 kroner, I choose to invest…
Pre-question text: Please indicate below how much of your thousand kroner you would like to invest in the joint kitty, given each amount the other person may choose to invest:
Literal question: Given that the other person invests 500 kroner, I choose to invest
Technical description: [Asked if r12group = 3. Economic experiment. Back button disabled.]
Technical attributes: [Format:numeric] [Valid:1097] [Invalid:6096] [Range:0-1000]



r12pad15_7


Variable label: Decision 2: Given that the other person invests 600 kroner, I choose to invest…
Pre-question text: Please indicate below how much of your thousand kroner you would like to invest in the joint kitty, given each amount the other person may choose to invest:
Literal question: Given that the other person invests 600 kroner, I choose to invest
Technical description: [Asked if r12group = 3. Economic experiment. Back button disabled.]
Technical attributes: [Format:numeric] [Valid:1014] [Invalid:6179] [Range:0-1000]



r12pad15_8


Variable label: Decision 2: Given that the other person invests 700 kroner, I choose to invest…
Pre-question text: Please indicate below how much of your thousand kroner you would like to invest in the joint kitty, given each amount the other person may choose to invest:
Literal question: Given that the other person invests 700 kroner, I choose to invest
Technical description: [Asked if r12group = 3. Economic experiment. Back button disabled.]
Technical attributes: [Format:numeric] [Valid:1014] [Invalid:6179] [Range:0-1000]



r12pad15_9


Variable label: Decision 2: Given that the other person invests 800 kroner, I choose to invest…
Pre-question text: Please indicate below how much of your thousand kroner you would like to invest in the joint kitty, given each amount the other person may choose to invest:
Literal question: Given that the other person invests 800 kroner, I choose to invest
Technical description: [Asked if r12group = 3. Economic experiment. Back button disabled.]
Technical attributes: [Format:numeric] [Valid:1016] [Invalid:6177] [Range:0-1000]



r12pad15_10


Variable label: Decision 2: Given that the other person invests 900 kroner, I choose to invest…
Pre-question text: Please indicate below how much of your thousand kroner you would like to invest in the joint kitty, given each amount the other person may choose to invest:
Literal question: Given that the other person invests 900 kroner, I choose to invest
Technical description: [Asked if r12group = 3. Economic experiment. Back button disabled.]
Technical attributes: [Format:numeric] [Valid:1007] [Invalid:6186] [Range:0-1000]



r12pad15_11


Variable label: Decision 2: Given that the other person invests 1000 kroner, I choose to invest…
Pre-question text: Please indicate below how much of your thousand kroner you would like to invest in the joint kitty, given each amount the other person may choose to invest:
Literal question: Given that the other person invests 1000 kroner, I choose to invest
Technical description: [Asked if r12group = 3. Economic experiment. Back button disabled.]
Technical attributes: [Format:numeric] [Valid:1072] [Invalid:6121] [Range:0-1000]



r12P1


Variable label: Gender
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Male 3534 49.1% 0.491311
2 Female 3659 50.9% 0.508689


r12P2


Variable label: Region
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Oslo/Akershus 2043 28.4% 0.28402614
2 Eastern Norway 1680 23.4% 0.23356041
3 Southern Norway 357 5% 0.04963159
4 Western Norway 1953 27.2% 0.27151397
5 Trøndelag 618 8.6% 0.08591686
6 Northern Norway 542 7.5% 0.07535104


r12P3


Variable label: County
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-18]

Value Label Cases Percentage
1 Akershus 918 12.8% 0.12762408
2 Oslo 1125 15.6% 0.15640206
3 Østfold 350 4.9% 0.04865842
4 Vestfold 326 4.5% 0.04532184
5 Hedmark 212 2.9% 0.02947310
6 Oppland 216 3% 0.03002920
7 Buskerud 374 5.2% 0.05199500
8 Telemark 202 2.8% 0.02808286
9 Vest-Agder 227 3.2% 0.03155846
10 Aust-Agder 130 1.8% 0.01807313
11 Rogaland 657 9.1% 0.09133880
12 Hordaland 866 12% 0.12039483
13 Sogn og Fjordane 128 1.8% 0.01779508
14 Møre og Romsdal 302 4.2% 0.04198526
15 Trøndelag 618 8.6% 0.08591686
16 Nordland 269 3.7% 0.03739747
17 Troms 199 2.8% 0.02766579
18 Finmark 74 1% 0.01028778


r12P4_1


Variable label: Highest completed education
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 No education/elementary school 524 7.3% 0.07284860
2 Upper secondary education 2055 28.6% 0.28569443
3 University/University college 4344 60.4% 0.60392048
97 Not answered 270 3.8% 0.03753649


r12P4_2


Variable label: Highest completed education
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-12]

Value Label Cases Percentage
1 No completed education 25 0.3% 0.003475601
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) 499 6.9% 0.069373002
3 Secondary education-general studies/programme for general studies, one-year supplementary study for university and college admission certification (VK2, VG3, High School) 827 11.5% 0.114972890
4 Secondary education-vocational line of study/education programme (VK2, VK3, VG3, apprenticeship examination, apprentices’ final exam ) 881 12.2% 0.122480189
5 Diploma from supplementary programme for general university and college admissions certification (tertiary vocational education, vocational technical college) 347 4.8% 0.048241346
6 University/College, less than 3 years, but at least 2 years (university college graduate 2 and 2½ years) 669 9.3% 0.093007090
7 College-3-4 year education (Bachelor-, cand.mag., teacher training college, school of nursing, preschool teacher, engineer, business graduate, etc.) 1507 21% 0.209509245
8 University-3-4 year education (Bachelor, cand.mag.) 516 7.2% 0.071736410
9 College-5-6 year education (Master, major) 479 6.7% 0.066592521
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 1014 14.1% 0.140970388
11 Researcher level (Doctorate, Ph.d.) 159 2.2% 0.022104824
12 None of the above (please enter): 199 2.8% 0.027665786
97 Not answered 71 1% 0.009870708


r12P5_1


Variable label: Year of birth
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1939 or earlier 214 3% 0.02975115
2 1940-1949 1280 17.8% 0.17795079
3 1950-1959 1739 24.2% 0.24176282
4 1960-1969 1528 21.2% 0.21242875
5 1970-1979 1075 14.9% 0.14945085
6 1980-1989 797 11.1% 0.11080217
7 1990 or later 560 7.8% 0.07785347


r12P5_2


Variable label: Year of birth
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 1959 or earlier 3233 44.9% 0.44946476
2 1960-1989 3400 47.3% 0.47268177
3 1990 or later 560 7.8% 0.07785347


r12Weight1


Variable label: Weight based on variables P3, P5_2, and P1. See documentation report.
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-4]



r12Weight2


Variable label: Weight based on variables P3, P5_2, P4, and P1. See documentation report
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-12]



w01_k28


Variable label: Citizenship
Literal question: Citizenship. Are you:
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Norwegian citizen 1649 93.8% 0.93799772
2 Citizen of a different country. Please indicate which country 76 4.3% 0.04323094
97 No answer 33 1.9% 0.01877133
98 Not asked (imputed) 5435 NA


w03_r3k28


Variable label: Citizenship
Literal question: Citizenship. Are you:
Technical description: [Only asked new respondents, and old respondents where information was missing]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Norwegian citizen 1821 93.9% 0.93865979
2 Citizen of a different country. Please indicate which country 97 5% 0.05000000
97 No answer 22 1.1% 0.01134021
98 Not asked 5253 NA


r4k28


Variable label: Nationality
Literal question: Nationality: Are you:
Technical description: [Asked respondents where information is missing]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 A Norwegian citizen 31 79.5% 0.7948718
2 A citizen of another country. Please state which 4 10.3% 0.1025641
97 No answer 4 10.3% 0.1025641
98 Not asked 7154 NA


r5k28


Variable label: Nationality
Literal question: Nationality: Are you:
Technical description: [Asked respondents if background information is missing]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 A Norwegian citizen 10 71.4% 0.7142857
2 A citizen of another country. Please state which 2 14.3% 0.1428571
97 No answer 2 14.3% 0.1428571
98 Not asked 7179 NA


r8k28


Variable label: Citizenship
Pre-question text: Citizenship.
Literal question: Are you:
Technical description: [Asked if rekruttert=8. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Norwegian citizen 1882 93.7% 0.93678447
2 Citizen of a different country. Please indicate which country: 100 5% 0.04977601
97 No answer 27 1.3% 0.01343952
98 Not asked 5184 NA


r11bk28


Variable label: Citizenship
Literal question: Citizenship. Are you:
Technical description: [Asked if rekruttert = 4. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Norwegian citizen 1307 92.4% 0.924328147
2 Citizen of a different country. Please indicate which country: 98 6.9% 0.069306931
97 Not answered 9 0.6% 0.006364922
98 Not asked 5779 NA


c11bk28


Variable label: Personal placement on political axis left-right [Most recent available data from w01_k28, w03_r3k28, r4k28, r5k28, r8k28, r11bk28]
Pre-question text: Where would you place yourself on such a scale?
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Norwegian citizen 6700 94% 0.939955107
2 Citizen of a different country. Please indicate which country: 377 5.3% 0.052890011
97 Not answered 51 0.7% 0.007154882
98 Not asked 65 NA


w01_k29


Variable label: Parents immigrated to Norway
Literal question: Have you or your parents (mother, father or both) immigrated to Norway?
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 No 1588 90.3% 0.903299204
2 I have immigrated to Norway myself 79 4.5% 0.044937429
3 Both of my parents immigrated to Norway, but I am born in Norway 7 0.4% 0.003981797
4 Mother immigrated to Norway, but I and my father have not immigrated 33 1.9% 0.018771331
5 Father immigrated to Norway, but I and my mother have not immigrated 16 0.9% 0.009101251
97 No answer 35 2% 0.019908987
98 Not asked (imputed) 5435 NA


w03_r3k29


Variable label: Have you or your parents (mother, father or both) immigrated to Norway?
Literal question: Have you or your parents (mother, father or both) immigrated to Norway?
Technical description: [Only asked new respondents, and old respondents where information was missing]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 No 1761 90.7% 0.906797116
2 I have immigrated to Norway myself 98 5% 0.050463440
3 Both of my parents immigrated to Norway, but I am born in Norway 9 0.5% 0.004634398
4 Mother immigrated to Norway, but I and my father have not immigrated 28 1.4% 0.014418126
5 Father immigrated to Norway, but I and my mother have not immigrated 24 1.2% 0.012358393
97 No answer 22 1.1% 0.011328527
98 Not asked 5251 NA


r4k29


Variable label: Mother or father immigrated to Norway
Literal question: Have you or your parents (mother, father or both parents) immigrated to Norway?
Technical description: [Asked respondents where information is missing]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 No 31 79.5% 0.79487179
2 I have immigrated to Norway 2 5.1% 0.05128205
3 Both my parents have immigrated to Norway, but I was born in Norway 0 0% 0.00000000
4 My mother immigrated to Norway, but my father and I did not 3 7.7% 0.07692308
5 My father immigrated to Norway, but my mother and I did not 0 0% 0.00000000
97 No answer 3 7.7% 0.07692308
98 Not asked 7154 NA


r5k29


Variable label: Have you or your parents immigrated to Norway?
Literal question: Have you or your parents (mother, father or both parents) immigrated to Norway?
Technical description: [Asked respondents if background information is missing]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 No 10 71.4% 0.7142857
2 I have immigrated to Norway 2 14.3% 0.1428571
3 Both my parents have immigrated to Norway, but I was born in Norway 0 0% 0.0000000
4 My mother immigrated to Norway, but my father and I did not 0 0% 0.0000000
5 My father immigrated to Norway, but my mother and I did not 0 0% 0.0000000
97 No answer 2 14.3% 0.1428571
98 Not asked 7179 NA


r11bk29


Variable label: Immigration background
Literal question: Have you or your parents (mother, father, or both parents) immigrated to Norway?
Technical description: [Asked if rekruttert = 3 or rekruttert = 4. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 No 2860 89.7% 0.897395670
2 I myself have immigrated to Norway 202 6.3% 0.063382491
3 Both my parents have immigrated to Norway, but I was born in Norway 17 0.5% 0.005334170
4 My mother has immigrated to Norway, but myself and my father have not immigrated 51 1.6% 0.016002510
5 My father has immigrated to Norway, but myself and my mother have not immigrated 38 1.2% 0.011923439
97 Not answered 19 0.6% 0.005961719
98 Not asked 4006 NA


c11bk29


Variable label: Voted this party in parliamentary elections of 2017 [Most recent available data from w01_k29, w03_r3k29, r4k29, r5k29, r11bk29]
Pre-question text: Which party did you vote for at the parliamentary elections in 2017?
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 No 6250 90.7% 0.90684852
2 I myself have immigrated to Norway 383 5.6% 0.05557168
3 Both my parents have immigrated to Norway, but I was born in Norway 33 0.5% 0.00478816
4 My mother has immigrated to Norway, but myself and my father have not immigrated 115 1.7% 0.01668601
5 My father has immigrated to Norway, but myself and my mother have not immigrated 78 1.1% 0.01131747
97 Not answered 33 0.5% 0.00478816
98 Not asked 301 NA


r10k8_1


Variable label: Personal placement on political axis left-right.
Pre-question text: In politics people often talk about the “left wing” and the “right wing”. Below is a scale where 0 represents those who are politically on the far left, and 10 represents those who are politically on the far right.
Literal question: Where would you place yourself on such a scale?
Technical description: [All respondents asked.]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-11]

Value Label Cases Percentage
1 0  Left 74 1.5% 0.015034539
2 1 164 3.3% 0.033319789
3 2 440 8.9% 0.089394555
4 3 718 14.6% 0.145875660
5 4 622 12.6% 0.126371394
6 5 727 14.8% 0.147704185
7 6 592 12% 0.120276310
8 7 708 14.4% 0.143843966
9 8 560 11.4% 0.113774888
10 9 166 3.4% 0.033726128
11 10  Right 108 2.2% 0.021942300
97 No answer 43 0.9% 0.008736286
98 Not asked (imputed) 2271 NA


r11pk8_1


Variable label: Personal placement on political axis left-right
Pre-question text: In politics people often talk about the “left wing” and the “right wing”. Below is a scale where 0 represents those who are politically on the far left, and 10 represents those who are politically on the far right.
Literal question: Where would you place yourself on such a scale?
Technical description: [Asked if rekruttert = 4. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-11]

Value Label Cases Percentage
1 0 Left 19 1.3% 0.01343706
2 1 50 3.5% 0.03536068
3 2 137 9.7% 0.09688826
4 3 198 14% 0.14002829
5 4 160 11.3% 0.11315417
6 5 247 17.5% 0.17468175
7 6 143 10.1% 0.10113154
8 7 199 14.1% 0.14073550
9 8 164 11.6% 0.11598303
10 9 55 3.9% 0.03889675
11 10 Right 26 1.8% 0.01838755
97 Not answered 16 1.1% 0.01131542
98 Not asked 5779 NA


c11pk8


Variable label: Personal placement on political axis left-right [Most recent available data from r10k8, r11pk8_1]
Pre-question text: In politics people often talk about the “left wing” and the “right wing”. Below is a scale where 0 represents those who are politically on the far left, and 10 represents those who are politically on the far right.
Literal question: Where would you place yourself on such a scale?
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-11]

Value Label Cases Percentage
1 0 Left 93 1.5% 0.014678030
2 1 214 3.4% 0.033775253
3 2 577 9.1% 0.091066919
4 3 916 14.5% 0.144570707
5 4 782 12.3% 0.123421717
6 5 974 15.4% 0.153724747
7 6 735 11.6% 0.116003788
8 7 907 14.3% 0.143150253
9 8 724 11.4% 0.114267677
10 9 221 3.5% 0.034880051
11 10 Right 134 2.1% 0.021148990
97 Not answered 59 0.9% 0.009311869
98 Not asked 857 NA


r10k3


Variable label: Voted for this party in 2017 parliamentary election.
Literal question: Which party did you vote for at the parliamentary elections?
Technical description: [All respondents asked.]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-12]

Value Label Cases Percentage
1 The Christian Democrats 217 4.4% 0.044087769
2 The Conservative Party 1158 23.5% 0.235270215
3 The Progress Party 534 10.8% 0.108492483
4 The Liberal Party 250 5.1% 0.050792361
5 The Socialist Left Party 432 8.8% 0.087769200
6 The Centre Party 434 8.8% 0.088175538
7 The Green Party 208 4.2% 0.042259244
8 The Labour Party 1091 22.2% 0.221657863
9 The Red Party 191 3.9% 0.038805364
10 Did not vote 101 2.1% 0.020520114
11 Not entitled to vote 184 3.7% 0.037383178
12 Other: 98 2% 0.019910605
97 No answer 24 0.5% 0.004876067
98 Not asked (imputed) 2271 NA


r11bk3


Variable label: Voted this party in parliamentary elections of 2017
Literal question: Which party did you vote for at the parliamentary elections in 2017?
Technical description: [Asked if rekruttert = 4. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-12]

Value Label Cases Percentage
1 The Christian Democrats 53 3.7% 0.037482320
2 The Conservative Party 342 24.2% 0.241867044
3 The Progress Party 126 8.9% 0.089108911
4 The Liberal Party 81 5.7% 0.057284300
5 The Soialist Left Party 95 6.7% 0.067185290
6 The Centre Party 113 8% 0.079915134
7 The Green Party 72 5.1% 0.050919378
8 The Labour Party 304 21.5% 0.214992928
9 The Red Party 53 3.7% 0.037482320
10 Did not vote 50 3.5% 0.035360679
11 Not entitled to vote 87 6.2% 0.061527581
12 Other: 29 2.1% 0.020509194
97 Not answered 9 0.6% 0.006364922
98 Not asked 5779 NA


c11bk3


Variable label: Voted for this party in 2017 parliamentary election. [Most recent available data from r10k3, r11bk3]
Pre-question text: Have you or your parents (mother, father, or both parents) immigrated to Norway?
Literal question: Which party did you vote for at the parliamentary elections?
Technical description: [Composite variable. There are minor differences in question language.]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-12]

Value Label Cases Percentage
1 The Christian Democrats 270 4.3% 0.042613636
2 The Conservative Party 1500 23.7% 0.236742424
3 The Progress Party 660 10.4% 0.104166667
4 The Liberal Party 331 5.2% 0.052241162
5 The Soialist Left Party 527 8.3% 0.083175505
6 The Centre Party 547 8.6% 0.086332071
7 The Green Party 280 4.4% 0.044191919
8 The Labour Party 1395 22% 0.220170455
9 The Red Party 244 3.9% 0.038510101
10 Did not vote 151 2.4% 0.023832071
11 Not entitled to vote 271 4.3% 0.042771465
12 Other: 127 2% 0.020044192
97 Not answered 33 0.5% 0.005208333
98 Not asked 857 NA


r11pk1


Variable label: Interest in politics
Literal question: In general, how interested are you in politics?
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very interested 902 14.1% 0.140520330
2 Interested 3182 49.6% 0.495715844
3 Somewhat interested 1889 29.4% 0.294282599
4 Not very interested 385 6% 0.059978190
5 Not interested at all 51 0.8% 0.007945163
97 Not answered 10 0.2% 0.001557875
98 Not asked (imputed) 774 NA


r11pk10


Variable label: Perception of today’s economic situation in Norway
Literal question: How do you perceive the current economic situation to be in Norway? Do you think it is:
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 1718 26.8% 0.2676429350
2 Good 3663 57.1% 0.5706496339
3 Quite good 720 11.2% 0.1121670042
4 Neither good nor bad 192 3% 0.0299112011
5 Quite bad 89 1.4% 0.0138650880
6 Bad 26 0.4% 0.0040504752
7 Very bad 8 0.1% 0.0012463000
97 Not answered 3 0% 0.0004673625
98 Not asked (imputed) 774 NA


r11pktilfreds3


Variable label: How satisfied with: the Norwegian government
Literal question: How satisfied are you with the present government in Norway?
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very satisfied 454 7.1% 0.070727528
2 Satisfied 2178 33.9% 0.339305188
3 Somewhat satisfied 1965 30.6% 0.306122449
4 Not very satisfied 1305 20.3% 0.203302695
5 Not satisfied at all 502 7.8% 0.078205328
97 Not answered 15 0.2% 0.002336813
98 Not asked (imputed) 774 NA


r11pktilfreds4


Variable label: How satisfied with: the way democracy works in Norway
Literal question: How satisfied are you with the way in which democracy works in Norway?
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very satisfied 939 14.6% 0.146284468
2 Satisfied 3508 54.7% 0.546502570
3 Somewhat satisfied 1445 22.5% 0.225112946
4 Not very satisfied 425 6.6% 0.066209690
5 Not satisfied at all 67 1% 0.010437763
97 Not answered 35 0.5% 0.005452563
98 Not asked (imputed) 774 NA


r11pk204


Variable label: Would vote this party if parliamentary elections held tomorrow
Literal question: Which party would you vote for if there were a parliamentary election tomorrow?
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-12]

Value Label Cases Percentage
1 The Christian Democrats 237 3.7% 0.03692164
2 The Conservative Party 1689 26.3% 0.26312510
3 The Progress Party 576 9% 0.08973360
4 The Liberal Party 300 4.7% 0.04673625
5 The Soialist Left Party 632 9.8% 0.09845770
6 The Centre Party 653 10.2% 0.10172924
7 The Green Party 261 4.1% 0.04066054
8 The Labour Party 1196 18.6% 0.18632186
9 The Red Party 311 4.8% 0.04844991
10 Did not vote 177 2.8% 0.02757439
11 Not entitled to vote 148 2.3% 0.02305655
12 Other: 199 3.1% 0.03100171
97 Not answered 40 0.6% 0.00623150
98 Not asked (imputed) 774 NA


r11pk6_1


Variable label: Like/dislike: The Christian Democrats
Literal question: We would like you to rate how much you like or dislike the various Norwegian political parties.
Post-question: Select one option.
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 675 10.5% 0.10515657
2 Really dislike 1128 17.6% 0.17572831
3 Dislike somwehat 1614 25.1% 0.25144103
4 Neither dislike nor like 1458 22.7% 0.22713818
5 Like somewhat 1076 16.8% 0.16762736
6 Really like 309 4.8% 0.04813834
7 Intensely like 74 1.2% 0.01152828
97 Not answered 85 1.3% 0.01324194
98 Not asked (imputed) 774 NA


r11pk6_2


Variable label: Like/dislike: The Conservative Party
Literal question: We would like you to rate how much you like or dislike the various Norwegian political parties.
Post-question: Select one option.
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 258 4% 0.04019318
2 Really dislike 811 12.6% 0.12634367
3 Dislike somwehat 1139 17.7% 0.17744197
4 Neither dislike nor like 700 10.9% 0.10905125
5 Like somewhat 1477 23% 0.23009815
6 Really like 1498 23.3% 0.23336968
7 Intensely like 466 7.3% 0.07259698
97 Not answered 70 1.1% 0.01090513
98 Not asked (imputed) 774 NA


r11pk6_3


Variable label: Like/dislike: The Progress Party
Literal question: We would like you to rate how much you like or dislike the various Norwegian political parties.
Post-question: Select one option.
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 2024 31.5% 0.315313912
2 Really dislike 1105 17.2% 0.172145194
3 Dislike somwehat 856 13.3% 0.133354105
4 Neither dislike nor like 546 8.5% 0.085059978
5 Like somewhat 995 15.5% 0.155008568
6 Really like 613 9.5% 0.095497741
7 Intensely like 221 3.4% 0.034429039
97 Not answered 59 0.9% 0.009191463
98 Not asked (imputed) 774 NA


r11pk6_4


Variable label: Like/dislike: The Liberal Party
Literal question: We would like you to rate how much you like or dislike the various Norwegian political parties.
Post-question: Select one option.
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 577 9% 0.08988939
2 Really dislike 1000 15.6% 0.15578751
3 Dislike somwehat 1476 23% 0.22994236
4 Neither dislike nor like 1512 23.6% 0.23555071
5 Like somewhat 1294 20.2% 0.20158903
6 Really like 396 6.2% 0.06169185
7 Intensely like 70 1.1% 0.01090513
97 Not answered 94 1.5% 0.01464403
98 Not asked (imputed) 774 NA


r11pk6_5


Variable label: Like/dislike: The Social Left Party
Literal question: We would like you to rate how much you like or dislike the various Norwegian political parties.
Post-question: Select one option.
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 882 13.7% 0.13740458
2 Really dislike 1065 16.6% 0.16591369
3 Dislike somwehat 1069 16.7% 0.16653684
4 Neither dislike nor like 1056 16.5% 0.16451161
5 Like somewhat 1170 18.2% 0.18227138
6 Really like 828 12.9% 0.12899205
7 Intensely like 255 4% 0.03972581
97 Not answered 94 1.5% 0.01464403
98 Not asked (imputed) 774 NA


r11pk6_6


Variable label: Like/dislike: The Centre Party
Literal question: We would like you to rate how much you like or dislike the various Norwegian political parties.
Post-question: Select one option.
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 369 5.7% 0.05748559
2 Really dislike 699 10.9% 0.10889547
3 Dislike somwehat 1186 18.5% 0.18476398
4 Neither dislike nor like 1584 24.7% 0.24676741
5 Like somewhat 1593 24.8% 0.24816950
6 Really like 708 11% 0.11029755
7 Intensely like 200 3.1% 0.03115750
97 Not answered 80 1.2% 0.01246300
98 Not asked (imputed) 774 NA


r11pk6_7


Variable label: Like/dislike: The Green Party
Literal question: We would like you to rate how much you like or dislike the various Norwegian political parties.
Post-question: Select one option.
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 1322 20.6% 0.20595108
2 Really dislike 947 14.8% 0.14753077
3 Dislike somwehat 1057 16.5% 0.16466739
4 Neither dislike nor like 991 15.4% 0.15438542
5 Like somewhat 1299 20.2% 0.20236797
6 Really like 572 8.9% 0.08911045
7 Intensely like 143 2.2% 0.02227761
97 Not answered 88 1.4% 0.01370930
98 Not asked (imputed) 774 NA


r11pk6_8


Variable label: Like/dislike: The Labour Party
Literal question: We would like you to rate how much you like or dislike the various Norwegian political parties.
Post-question: Select one option.
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 361 5.6% 0.05623929
2 Really dislike 683 10.6% 0.10640287
3 Dislike somwehat 1176 18.3% 0.18320611
4 Neither dislike nor like 1003 15.6% 0.15625487
5 Like somewhat 1769 27.6% 0.27558810
6 Really like 1123 17.5% 0.17494937
7 Intensely like 230 3.6% 0.03583113
97 Not answered 74 1.2% 0.01152828
98 Not asked (imputed) 774 NA


r11pk6_9


Variable label: Like/dislike: The Red Party
Literal question: We would like you to rate how much you like or dislike the various Norwegian political parties.
Post-question: Select one option.
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 1419 22.1% 0.22106247
2 Really dislike 1065 16.6% 0.16591369
3 Dislike somwehat 894 13.9% 0.13927403
4 Neither dislike nor like 1179 18.4% 0.18367347
5 Like somewhat 1035 16.1% 0.16124007
6 Really like 514 8% 0.08007478
7 Intensely like 200 3.1% 0.03115750
97 Not answered 113 1.8% 0.01760399
98 Not asked (imputed) 774 NA


r11pktilfreds1


Variable label: How satisfied with: Life in general
Literal question: All in all, how satisfied are you with life?
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very satisfied 2221 34.6% 0.346004050
2 Satisfied 3473 54.1% 0.541050008
3 Somewhat satisfied 582 9.1% 0.090668328
4 Not very satisfied 95 1.5% 0.014799813
5 Not satisfied at all 29 0.5% 0.004517838
97 Not answered 19 0.3% 0.002959963
98 Not asked (imputed) 774 NA


r11pk15_1


Variable label: Other people’s trustworthiness
Literal question: Would you say that most people in general can be trusted, or do you think that one cannot be careful enough when dealing with others?
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 0 - Cannot be careful enough 63 1% 0.009814613
1 1 45 0.7% 0.007010438
2 2 114 1.8% 0.017759776
3 3 212 3.3% 0.033026951
4 4 250 3.9% 0.038946876
5 5 559 8.7% 0.087085216
6 6 656 10.2% 0.102196604
7 7 1480 23.1% 0.230565509
8 8 1640 25.5% 0.255491510
9 9 770 12% 0.119956379
10 10 – Most people can be trusted 620 9.7% 0.096588254
97 Not answered 10 0.2% 0.001557875
98 Not asked (imputed) 774 NA


r11bktivi_1


Variable label: Resembles me: Respect for parents and elders, obedience
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question: [He/She] believes that he should always show respect for [his/her] parents and for older people. It’s important to [him/her] to be obedient.
Technical description: [Question with text substitution. Respondents are presented with personal characteristics where the gender pronoun in the text corresponds to the respondent’s own gender. The order of r11bktiv is randomized. All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 1 - Does not resemble me at all 183 2.9% 0.02850911
2 2 - Does not resemble me 524 8.2% 0.08163265
3 3 - Slightly resembles me 1135 17.7% 0.17681882
4 4 - Somewhat resembles me 2369 36.9% 0.36906060
5 5 - Resembles me 1608 25.1% 0.25050631
6 6 - Very much resembles me 535 8.3% 0.08334632
97 Not answered 65 1% 0.01012619
98 Not asked (imputed) 774 NA


r11bktivi_2


Variable label: Resembles me: Religion important, fulfills religious requirements
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question: Religious faith is important to [him/her]. [He/She] endeavours to do what [his/her] religion requires.
Technical description: [Question with text substitution. Respondents are presented with personal characteristics where the gender pronoun in the text corresponds to the respondent’s own gender. The order of r11bktiv is randomized. All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 1 - Does not resemble me at all 3159 49.2% 0.492132731
2 2 - Does not resemble me 1316 20.5% 0.205016358
3 3 - Slightly resembles me 890 13.9% 0.138650880
4 4 - Somewhat resembles me 611 9.5% 0.095186166
5 5 - Resembles me 264 4.1% 0.041127902
6 6 - Very much resembles me 128 2% 0.019940801
97 Not answered 51 0.8% 0.007945163
98 Not asked (imputed) 774 NA


r11bktivi_3


Variable label: Resembles me: Important to help people, wants to make others do well
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question: It’s very important to [him/her] to help the people around [him/her]. [He/She] wants to do something to make sure they are doing well.
Technical description: [Question with text substitution. Respondents are presented with personal characteristics where the gender pronoun in the text corresponds to the respondent’s own gender. The order of r11bktiv is randomized. All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 1 - Does not resemble me at all 19 0.3% 0.002959963
2 2 - Does not resemble me 79 1.2% 0.012307213
3 3 - Slightly resembles me 409 6.4% 0.063717090
4 4 - Somewhat resembles me 2384 37.1% 0.371397414
5 5 - Resembles me 2393 37.3% 0.372799501
6 6 - Very much resembles me 1084 16.9% 0.168873656
97 Not answered 51 0.8% 0.007945163
98 Not asked (imputed) 774 NA


r11bktivi_4


Variable label: Resembles me: Treat people equally, equal opportunities
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question: [He/She] thinks it’s important that all people in the world be treated equally. [He/She] thinks everyone should have equal opportunities in life.
Technical description: [Question with text substitution. Respondents are presented with personal characteristics where the gender pronoun in the text corresponds to the respondent’s own gender. The order of r11bktiv is randomized. All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 1 - Does not resemble me at all 56 0.9% 0.00872410
2 2 - Does not resemble me 172 2.7% 0.02679545
3 3 - Slightly resembles me 416 6.5% 0.06480760
4 4 - Somewhat resembles me 1836 28.6% 0.28602586
5 5 - Resembles me 2375 37% 0.36999533
6 6 - Very much resembles me 1512 23.6% 0.23555071
97 Not answered 52 0.8% 0.00810095
98 Not asked (imputed) 774 NA


r11bktivi_5


Variable label: Resembles me: Interest important, likes to be curious and understand things
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question: [He/She] thinks it’s important to be interested in things. [He/She] likes to be curious and tries to understand all sorts of issues.
Technical description: [Question with text substitution. Respondents are presented with personal characteristics where the gender pronoun in the text corresponds to the respondent’s own gender. The order of r11bktiv is randomized. All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 1 - Does not resemble me at all 35 0.5% 0.005452563
2 2 - Does not resemble me 130 2% 0.020252376
3 3 - Slightly resembles me 521 8.1% 0.081165291
4 4 - Somewhat resembles me 2304 35.9% 0.358934413
5 5 - Resembles me 2201 34.3% 0.342888300
6 6 - Very much resembles me 1180 18.4% 0.183829257
97 Not answered 48 0.7% 0.007477800
98 Not asked (imputed) 774 NA


r11bktivi_6


Variable label: Resembles me: Likes risks, looks for new experiences
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question: [He/She] likes to take risks. [He/She]’s always looking for new experiences.
Technical description: [Question with text substitution. Respondents are presented with personal characteristics where the gender pronoun in the text corresponds to the respondent’s own gender. The order of r11bktiv is randomized. All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 1 - Does not resemble me at all 627 9.8% 0.097678766
2 2 - Does not resemble me 1377 21.5% 0.214519396
3 3 - Slightly resembles me 2188 34.1% 0.340863063
4 4 - Somewhat resembles me 1591 24.8% 0.247857922
5 5 - Resembles me 476 7.4% 0.074154853
6 6 - Very much resembles me 113 1.8% 0.017603988
97 Not answered 47 0.7% 0.007322013
98 Not asked (imputed) 774 NA


r11bktivi_7


Variable label: Resembles me: Seeks out fun, important to do things that brings pleasure
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question: [He/She] seeks out any opportunity to have fun. It is important for [him/her] to do things that give [him/her] pleasure.
Technical description: [Question with text substitution. Respondents are presented with personal characteristics where the gender pronoun in the text corresponds to the respondent’s own gender. The order of r11bktiv is randomized. All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 1 - Does not resemble me at all 246 3.8% 0.03832373
2 2 - Does not resemble me 798 12.4% 0.12431843
3 3 - Slightly resembles me 1873 29.2% 0.29179000
4 4 - Somewhat resembles me 2479 38.6% 0.38619723
5 5 - Resembles me 773 12% 0.12042374
6 6 - Very much resembles me 202 3.1% 0.03146908
97 Not answered 48 0.7% 0.00747780
98 Not asked (imputed) 774 NA


r11bktivi_8


Variable label: Resembles me: Important to be successful, likes to impress
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question: It’s important to [him/her] to be successful. [He/She] likes to impress other people.
Technical description: [Question with text substitution. Respondents are presented with personal characteristics where the gender pronoun in the text corresponds to the respondent’s own gender. The order of r11bktiv is randomized. All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 1 - Does not resemble me at all 706 11% 0.109985979
2 2 - Does not resemble me 1397 21.8% 0.217635146
3 3 - Slightly resembles me 2069 32.2% 0.322324350
4 4 - Somewhat resembles me 1571 24.5% 0.244742172
5 5 - Resembles me 497 7.7% 0.077426390
6 6 - Very much resembles me 129 2% 0.020096588
97 Not answered 50 0.8% 0.007789375
98 Not asked (imputed) 774 NA


r11bktivi_9


Variable label: Resembles me: Likes to lead, wants others to do as they say
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question: It is important for [him/her] to take the lead and tell others what to do. [He/She] wants people to do as he says.
Technical description: [Question with text substitution. Respondents are presented with personal characteristics where the gender pronoun in the text corresponds to the respondent’s own gender. The order of r11bktiv is randomized. All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 1 - Does not resemble me at all 728 11.3% 0.11341330
2 2 - Does not resemble me 1322 20.6% 0.20595108
3 3 - Slightly resembles me 2094 32.6% 0.32621904
4 4 - Somewhat resembles me 1710 26.6% 0.26639663
5 5 - Resembles me 432 6.7% 0.06730020
6 6 - Very much resembles me 85 1.3% 0.01324194
97 Not answered 48 0.7% 0.00747780
98 Not asked (imputed) 774 NA


r11bktivi_10


Variable label: Resembles me: Tidiness and cleanliness important, doesn’t like mess
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question: It’s important to [him/her] that things are tidy and clean. [He/She] really doesn’t like things to be messy.
Technical description: [Question with text substitution. Respondents are presented with personal characteristics where the gender pronoun in the text corresponds to the respondent’s own gender. The order of r11bktiv is randomized. All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 1 - Does not resemble me at all 98 1.5% 0.015267176
2 2 - Does not resemble me 352 5.5% 0.054837202
3 3 - Slightly resembles me 890 13.9% 0.138650880
4 4 - Somewhat resembles me 2221 34.6% 0.346004050
5 5 - Resembles me 1873 29.2% 0.291789998
6 6 - Very much resembles me 939 14.6% 0.146284468
97 Not answered 46 0.7% 0.007166225
98 Not asked (imputed) 774 NA


r11pk53


Variable label: Confidence in Norwegian politicians
Literal question: Generally speaking, how much confidence do you have in Norwegian politicians?
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great extent 63 1% 0.009814613
2 To a great extent 1738 27.1% 0.270758685
3 To some extent 3498 54.5% 0.544944695
4 To a small extent 954 14.9% 0.148621281
5 Not at all 141 2.2% 0.021966038
97 Not answered 25 0.4% 0.003894688
98 Not asked (imputed) 774 NA


r11pk54


Variable label: Confidence in Norwegian news media
Literal question: Generally speaking, what degree of confidence do you have in the Norwegian news media?
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great extent 178 2.8% 0.027730176
2 To a great extent 2320 36.1% 0.361427014
3 To some extent 3055 47.6% 0.475930830
4 To a small extent 666 10.4% 0.103754479
5 Not at all 146 2.3% 0.022744976
97 Not answered 54 0.8% 0.008412525
98 Not asked (imputed) 774 NA


r11pk12


Variable label: Confidence in Norwegian parliament
Literal question: What degree of confidence do you have in the Norwegian Parliament (Stortinget)?
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great extent 233 3.6% 0.036298489
2 To a great extent 2577 40.1% 0.401464403
3 To some extent 2849 44.4% 0.443838604
4 To a small extent 599 9.3% 0.093316716
5 Not at all 116 1.8% 0.018071351
97 Not answered 45 0.7% 0.007010438
98 Not asked (imputed) 774 NA


r11pk55


Variable label: The number of municipalities should be reduced further by merging
Pre-question text: To what extent do you agree or disagree with the following proposition:
Literal question: From the year 2020, Norway will have 356 municipalities instead of 422 as of today. The number of municipalities should be reduced further by more mergers.
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 720 11.2% 0.112167004
2 Agree 1121 17.5% 0.174637794
3 Agree somewhat 1173 18.3% 0.182738744
4 Neither agree nor disagree 1159 18.1% 0.180557719
5 Disagree somewhat 768 12% 0.119644804
6 Disagree 851 13.3% 0.132575167
7 Strongly disagree 594 9.3% 0.092537778
97 Not answered 33 0.5% 0.005140988
98 Not asked (imputed) 774 NA


r11pk60


Variable label: The government should work towards recuding income differences
Pre-question text: To what extent do you agree or disagree with the following proposition:
Literal question: The Government should work more to significantly reduce the income differences in society.
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 1747 27.2% 0.272160773
2 Agree 2048 31.9% 0.319052812
3 Agree somewhat 1420 22.1% 0.221218258
4 Neither agree nor disagree 541 8.4% 0.084281041
5 Disagree somewhat 373 5.8% 0.058108740
6 Disagree 196 3.1% 0.030534351
7 Strongly disagree 50 0.8% 0.007789375
97 Not answered 44 0.7% 0.006854650
98 Not asked (imputed) 774 NA


r11pkby3


Variable label: Fears new terrorist attack in Norway
Literal question: To what extent do you fear that there will be a new terrorist attack in Norway?
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all 414 6.4% 0.064496027
2 Slightly 2511 39.1% 0.391182427
3 Somewhat 2505 39% 0.390247702
4 To a great extent 764 11.9% 0.119021654
5 To a very great extent 191 3% 0.029755414
97 Not answered 34 0.5% 0.005296775
98 Not asked (imputed) 774 NA


r11pk52


Variable label: Government should protect citizens from terrorism even at expense of privacy
Pre-question text: To what extent do you agree or disagree with the following proposition:
Literal question: The authorities should introduce more measures to protect citizens from potential terrorist threats, even though this may be at the expense of privacy.
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 534 8.3% 0.08319053
2 Agree 1355 21.1% 0.21109207
3 Agree somewhat 1763 27.5% 0.27465337
4 Neither agree nor disagree 769 12% 0.11980059
5 Disagree somewhat 857 13.4% 0.13350989
6 Disagree 745 11.6% 0.11606169
7 Strongly disagree 368 5.7% 0.05732980
97 Not answered 28 0.4% 0.00436205
98 Not asked (imputed) 774 NA


r11pkkm2_1


Variable label: How concerned about climate change: Variant 1
Literal question: How concerned are you about climate change?
Technical description: [Experiment. Same question text in r11pkkm2_1, r11pkkm2_2, r11pkkm2_3, and r11pkkm2_4, but different answer options. Asked if r11pkkm2_ran =1. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all concerned 74 4.6% 0.045962733
2 Not particularly concerned 291 18.1% 0.180745342
3 Somewhat concerned 490 30.4% 0.304347826
4 Concerned 516 32% 0.320496894
5 Very concerned 237 14.7% 0.147204969
97 Not answered 2 0.1% 0.001242236
98 Not asked 5583 NA


r11pkkm2_2


Variable label: How concerned about climate change: Variant 2
Literal question: How concerned are you about climate change?
Technical description: [Experiment. Same question text in r11pkkm2_1, r11pkkm2_2, r11pkkm2_3, and r11pkkm2_4, but different answer options. Asked if r11pkkm2_ran = 2. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all concerned 70 4.3% 0.04299754
2 Not very concerned 357 21.9% 0.21928747
3 Slightly concerned 666 40.9% 0.40909091
4 Very concerned 467 28.7% 0.28685504
5 Extremely concerned 68 4.2% 0.04176904
97 Not answered 0 0% 0.00000000
98 Not asked 5565 NA


r11pkkm2_3


Variable label: How concerned about climate change: Variant 3
Literal question: How concerned are you about climate change?
Technical description: [Experiment. Same question text in r11pkkm2_1, r11pkkm2_2, r11pkkm2_3, and r11pkkm2_4, but different answer options. Asked if r11pkkm2_ran = 3. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all concerned 65 4.2% 0.04185448
2 Not particularly concerned 272 17.5% 0.17514488
3 Slightly concerned 681 43.9% 0.43850612
4 Very concerned 479 30.8% 0.30843529
5 Extremely concerned 54 3.5% 0.03477141
97 Not answered 2 0.1% 0.00128783
98 Not asked 5640 NA


r11pkkm2_4


Variable label: How concerned about climate change: Variant 4
Literal question: How concerned are you about climate change?
Technical description: [Experiment. Same question text in r11pkkm2_1, r11pkkm2_2, r11pkkm2_3, and r11pkkm2_4, but different answer options. Asked if r11pkkm2_ran = 4. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all concerned 69 4.3% 0.0429104478
2 Not particularly concerned 253 15.7% 0.1573383085
3 Slightly concerned 657 40.9% 0.4085820896
4 Rather concerned 450 28% 0.2798507463
5 Very concerned 178 11.1% 0.1106965174
97 Not answered 1 0.1% 0.0006218905
98 Not asked 5585 NA


r11pkkm42


Variable label: Should/should not be possible to buy diesel- and petrol cars after 2025
Pre-question text: The National Transport Plan for 2018-29 proposes that all new private vehicles should either be electric or run on hydrogen with effect from 2025.
Literal question: Which of the following statements most closely reflects your views:
Post-question: Link: Look at “Nasjonal Transportplan 2018-2029”, p. 16, available here (external link)
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 In 2025 all new private vehicles sold should either be electric or run on hydrogen 2741 42.7% 0.42701355
2 In 2025, people should still have the opportunity to purchase new private cars which run on diesel or petrol 3580 55.8% 0.55771927
97 Not answered 98 1.5% 0.01526718
98 Not asked (imputed) 774 NA


r11pkkm4


Variable label: Should/should not allow oil and gas extraction in Lofoten, Vesterålen and Senja
Pre-question text: Please look at the statement below.
Literal question: We should not allow oil and gas extraction in the Lofoten, Vesterålen and Senja areas. To what extent do you agree/disagree with this?
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 2064 32.2% 0.321545412
2 Agree 1108 17.3% 0.172612556
3 Agree somewhat 745 11.6% 0.116061692
4 Neither agree nor disagree 907 14.1% 0.141299268
5 Disagree somewhat 595 9.3% 0.092693566
6 Disagree 603 9.4% 0.093939866
7 Strongly disagree 362 5.6% 0.056395077
97 Not answered 35 0.5% 0.005452563
98 Not asked (imputed) 774 NA


r11pkmeme9


Variable label: Access to asylum in Norway
Literal question: What is your opinion on refugees who come to Norway and seek asylum and their opportunity to be granted residence here? Compared to how it is today, do you mean it should be:
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Much easier 179 2.8% 0.02788596
2 Easier 681 10.6% 0.10609129
3 Somewhat easier 1240 19.3% 0.19317651
4 Same as today 2185 34% 0.34039570
5 Slightly more difficult 893 13.9% 0.13911824
6 More difficult 649 10.1% 0.10110609
7 Much more difficult 540 8.4% 0.08412525
97 Not answered 52 0.8% 0.00810095
98 Not asked (imputed) 774 NA


r11pkdv5


Variable label: How good or bad that immigrants come to live in Norway
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: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very great advantage 160 2.5% 0.02492600
2 Great advantage 874 13.6% 0.13615828
3 Slightly advantageous 2235 34.8% 0.34818508
4 Neither an advantage nor a disadvantage 1170 18.2% 0.18227138
5 A slight disadvantage 1246 19.4% 0.19411123
6 A great disadvantage 432 6.7% 0.06730020
7 Very great disadvantage 254 4% 0.03957003
97 Not answered 48 0.7% 0.00747780
98 Not asked (imputed) 774 NA


r11pkdv55


Variable label: Muslim religious schools should be possible
Pre-question text: Today, it is possible for parents to send their children to Christian schools that follow the national curriculum, but also teach the Christian faith.
Literal question: How much do you agree or disagree that it should be possible for parents to send their children to Muslim schools that follow the national curriculum, but also teach the Islamic faith?
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 145 2.3% 0.02258919
2 Agree 581 9.1% 0.09051254
3 Agree somewhat 777 12.1% 0.12104689
4 Neither agree nor disagree 1086 16.9% 0.16918523
5 Disagree somewhat 816 12.7% 0.12712260
6 Disagree 1333 20.8% 0.20766475
7 Strongly disagree 1637 25.5% 0.25502415
97 Not answered 44 0.7% 0.00685465
98 Not asked (imputed) 774 NA


r11pkby2


Variable label: Safety in local environment past few years
Pre-question text: Think about your local environment and how it has evolved over the past couple of years.
Literal question: How much safer or more unsafe has it become?
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Much safer 61 1% 0.009503038
2 Somewhat safer 304 4.7% 0.047359402
3 No change in safety 4594 71.6% 0.715687802
4 Somewhat more unsafe 1236 19.3% 0.192553357
5 Much more unsafe 180 2.8% 0.028041751
97 Not answered 44 0.7% 0.006854650
98 Not asked (imputed) 774 NA


r11pkklasse


Variable label: Social class, self-placement
Pre-question text: We sometimes talk about whether or not there are different social groups or classes.
Literal question: If you were to place yourself in such a social class, which one would it be?
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Lower class 62 1% 0.009658825
2 Working class 847 13.2% 0.131952017
3 Lower middle class 600 9.3% 0.093472504
4 Middle class 3417 53.2% 0.532325907
5 Upper middle class 1223 19.1% 0.190528120
6 Upper class 35 0.5% 0.005452563
7 Don't know 192 3% 0.029911201
97 Not answered 43 0.7% 0.006698863
98 Not asked (imputed) 774 NA


r11bk21


Variable label: Works in what type of business
Literal question: Which type of business do you work in?
Technical description: [Asked if r11bk33 = 1. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 State, county or municipal administration 413 11.6% 0.1157835716
2 Public sector (e.g. school and health services) 1100 30.8% 0.3083823942
3 Publicly owned enterprise 223 6.3% 0.0625175217
4 Private business 1562 43.8% 0.4379029997
5 Self employed 186 5.2% 0.0521446594
6 Other: 80 2.2% 0.0224278105
97 Not answered 3 0.1% 0.0008410429
98 Not asked 3626 NA


r11bk26


Variable label: Highest completed education
Literal question: What is your highest completed education?
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-12]

Value Label Cases Percentage
1 No completed education 21 0.3% 0.003271538
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) 440 6.9% 0.068546503
3 Secondary education-general studies/programme for general studies, one-year supplementary study for university and college admission certification (VK2, VG3, High School) 719 11.2% 0.112011217
4 Secondary education-vocational line of study/education programme (VK2, VK3, VG3, apprenticeship examination, apprentices’ final exam ) 753 11.7% 0.117307992
5 Diploma from supplementary programme for general university and college admissions certification (tertiary vocational education, vocational technical college) 327 5.1% 0.050942514
6 University/College, less than 3 years, but at least 2 years (university college graduate 2 and 2½ years) 594 9.3% 0.092537778
7 College-3-4 year education (Bachelor-, cand.mag., teacher training college, school of nursing, preschool teacher, engineer, business graduate, etc.) 1348 21% 0.210001558
8 University-3-4 year education (Bachelor, cand.mag.) 467 7.3% 0.072752765
9 College-5-6 year education (Master, major) 417 6.5% 0.064963390
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 Economy) 955 14.9% 0.148777068
11 Researcher level (Doctorate, Ph.d.) 142 2.2% 0.022121826
12 None of the above (please enter): 185 2.9% 0.028820689
97 Not answered 51 0.8% 0.007945163
98 Not asked (imputed) 774 NA


r11bk27


Variable label: Marital status
Literal question: Marital status.
Post-question: Click on the one that is most relevant.
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Unmarried/not cohabiting 937 14.6% 0.145972893
2 Cohabitant 1096 17.1% 0.170743106
3 Married/legally registered partner 3604 56.1% 0.561458171
4 Divorced/separated/formally registered partner 489 7.6% 0.076180090
5 Widow/widower 207 3.2% 0.032248014
6 Other: 50 0.8% 0.007789375
97 Not answered 36 0.6% 0.005608350
98 Not asked (imputed) 774 NA


r11bk25


Variable label: Gross annual income
Literal question: What is your current income?
Post-question: Gross annual income is:
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 < 150 000 432 6.7% 0.06730020
2 150 001 - 300 000 815 12.7% 0.12696682
3 300 001 - 400 000 993 15.5% 0.15469699
4 400 001 - 500 000 1206 18.8% 0.18787973
5 500 001 - 600 000 1087 16.9% 0.16934102
6 600 001 - 700 000 674 10.5% 0.10500078
7 700 001 - 1 000 000 709 11% 0.11045334
8 > 1 000 000 355 5.5% 0.05530456
97 Not answered 148 2.3% 0.02305655
98 Not asked (imputed) 774 NA


r11bk35


Variable label: Type of living area
Literal question: Which description best fits the area you live in?
Post-question: We are thinking about Norwegian conditions here.
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A city 1497 23.3% 0.233213896
2 A suburb or the outskirts of a city 1346 21% 0.209689983
3 A small or medium sized town 1726 26.9% 0.268889235
4 A village 1111 17.3% 0.173079919
5 A sparsely inhabited area 700 10.9% 0.109051254
97 Not answered 39 0.6% 0.006075713
98 Not asked (imputed) 774 NA


r11bkhelse


Variable label: General health
Literal question: In general, would you say your health is:
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Excellent 902 14.1% 0.140520330
2 Very good 2305 35.9% 0.359090201
3 Good 2147 33.4% 0.334475775
4 Somewhat good 786 12.2% 0.122448980
5 Poor 236 3.7% 0.036765851
97 Not answered 43 0.7% 0.006698863
98 Not asked (imputed) 774 NA


r11bk42


Variable label: How many children under 16 living at home
Literal question: Do you have children under the age of 16 living at home with you, and in that case how many?
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 None 5045 78.6% 0.785947967
2 1 577 9% 0.089889391
3 2 569 8.9% 0.088643091
4 3 159 2.5% 0.024770213
5 4 19 0.3% 0.002959963
6 5 2 0% 0.000311575
7 6 or more 2 0% 0.000311575
97 Not answered 46 0.7% 0.007166225
98 Not asked (imputed) 774 NA


r11bk40_recode


Variable label: Belongs to a religion or a religious denomination [recoded]
Literal question: Do you belong to a religion or a religious denomination?
Technical description:

[All respondents asked. ]

[Recoded from source variable r11bk40]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 The Church of Norway 4159 64.8% 0.647920237
2 The Catholic Church 81 1.3% 0.012618788
3 Other Christian faiths (Orthodox church, and other christian faiths, e.g. free churches, Anglican church, Pentecostalists, Jehovah's Witnesses, and Mormons) 235 3.7% 0.036610064
4 Other non-Christian religions (The Mosaic faith, eastern religions (e.g. Buddhism, Hinduism, Sikh, Shintoism, Taoism, Confucianism), and others) 39 0.6% 0.006075713
5 Islam 30 0.5% 0.004673625
6 I don't belong to any religion or religious communities. 1832 28.5% 0.285402711
97 No answer 43 0.7% 0.006698863
98 Not asked (imputed) 774 NA


r11bk41


Variable label: Attends religious meetings
Literal question: Aside from special occasions such as weddings and funerals, how often would you say you currently attend religious meetings?
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:7193] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Every day 7 0.1% 0.001090513
2 More than once a week 103 1.6% 0.016046113
3 Once a week 157 2.4% 0.024458638
4 At least once a month 306 4.8% 0.047670977
5 Only on special religious holidays 1105 17.2% 0.172145194
6 Less frequently 1411 22% 0.219816171
7 Never 3283 51.1% 0.511450382
97 Not answered 47 0.7% 0.007322013
98 Not asked (imputed) 774 NA