Codebook

Norwegian Citizen Panel

Round 9

v-101 - 2020-08-28









Produced by ideas2evidence










Citation

Primary investigators

Name Affiliation
Elisabeth Ivarsflaten Coordinator, University of Bergen
Sveinung Arnesen, Endre Tvinnereim, Kristine Bærøe, Ivar Eimhjellen, Erla Løvseth, 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 three waves, wave 1, wave 3 and wave 8. In wave 1, 4.870 panel members were recruited (see documentation from wave 1). In wave 3, 5.623 members were recruited (see documentation from wave 3). In wave 8, 4.245 new members were recruited (see documentation from wave 8).

In wave 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.

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.

Mode of Data Collection

The survey is based on a online questionnaire with postal recruitment. For a more detailed description, please see the documentation report from wave 8. The report is available here: http://digsscore.uib.no/download-data-and-documentation

The invitation was emailed on the 11th of May 2017.

Three reminders were sent at the following dates: 15th of May, 18th of May, and 22th of May. The reminder was sent to those who a) had not entered the questionnaire, and b) had not completed the questionnaire. Panel members with registered phone number received the last of these reminders as a text message. Panel members without registered phone number received the reminder as an email.

Wave 9 was closed 06th of June.

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 (table 8 in the appendix). 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. Approximately 9 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.


Change Log

Version Release date / Date changed Variable Changes and notes
v-101 2020-08-28 NA Revised release of round 9
v-101 2020-06-15 NA Revised release of round 9
NA 2020-06-11 r9k24_1_1 Data redacted due to privacy concerns (263 non-missing obs).
NA 2019-08-12 r9tilfreds3 Updated value labels from 4 (“Dissatisfied”) and 5 (“Very dissatisfied”) to 4 (“Not very satisfied”) and 5 (“Not satisfied at all”)
NA 2019-08-12 r9tilfreds4 Updated value labels from 4 (“Dissatisfied”) and 5 (“Very dissatisfied”) to 4 (“Not very satisfied”) and 5 (“Not satisfied at all”)
NA 2019-01-19 r9k33_9_other_kodet New variable based on r9k33_9_other.
NA 2019-01-18 r9k21_6_other_kodet New variable based on r9k21_6_other.
NA 2019-01-17 r9k27_9_other_kodet New variable based on r9k27_9_other.
NA 2019-01-08 r9helse1a Added anonymized data. Available on request.
NA 2019-01-08 r9helse1b Added anonymized data. Available on request.
NA 2018-04-13 r9p5_1 Changed from age intervals to birth year intervals.
NA 2018-04-13 r9p5_2 Changed from age intervals to birth year intervals.
NA 2018-02-21 r9p3 Updated the value of 1 respondent.
NA 2018-02-15 r9_weight_2 Corrected values of 2 respondents.
NA 2018-02-14 r9p4_1 Corrected values of 2 respondents.
NA 2018-02-14 r9p4_2 Corrected values of 2 respondents.
NA 2018-01-17 r9helse3_1 Added anonymized data. Available on request.
NA 2018-01-17 r9helse3_2 Added anonymized data. Available on request.
NA 2017-10-18 r9tvdeb2 Added anonymized data. Available on request.
v-100 2017-08-28 NA Initial release of round 9
NA 2017-08-24 r9medtrust1 Added anonymized data. Available on request.
NA 2017-06-21 eips2017i Changed group description. [The Progress party/ The Liberal party/ Christian church / Muslim community / An anti-Islamic group / A neo-Nazi group /A Muslim fundamentalist group]


Dataset contents

File name Norwegian Citizen Panel - round 9 - v-101.sav
# Cases 6897
# Variables 363


Variable Documentation

responseid


Variable label: responseid
Technical attributes: [Format:character] [Valid:6897] [Invalid:0] [Range:-]



interview_start


Variable label: [Date and time of when the respondent first opened the questionnaire. Excel-format.]
Technical description: [Date and time of when the respondentent first opened the questionnaire. Excel-format.]
Technical attributes: [Format:character] [Valid:6897] [Invalid:0] [Range:-]



interview_end


Variable label: [Date and time of when the respondent completed the questionnaire. Excel-format.]
Technical description: [Date and time of when the respondentn completed the questionnaire. Excel-format.]
Technical attributes: [Format:character] [Valid:6897] [Invalid:0] [Range:-]



rekruttert


Variable label: [The wave the respondent was recruited. ]
Technical description: [The wave the respondent was recruited. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 Wave 1 1954 28.3% 0.2833116
3 Wave 3 2237 32.4% 0.3243439
8 Wave 8 2706 39.2% 0.3923445


browsertype


Variable label: [Browertype used by respondent]
Technical description: [Browertype used by respondent]
Technical attributes: [Format:character] [Valid:6897] [Invalid:0] [Range:-]



browserversion


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



mobil


Variable label: [Determines if the respondents uses mobile ]
Technical description: [Determines if the respondents uses mobile ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
0 Other 4708 68.3% 0.6826156
1 Mobile 2189 31.7% 0.3173844


opplosning


Variable label: [Screen resolution of the applied device]
Technical description: [Screen resolution of the applied device]
Technical attributes: [Format:character] [Valid:6897] [Invalid:0] [Range:-]



enhetstype


Variable label: [Determines respondents device type.]
Technical description: [Determines respondents device type.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 PC 4817 69.8% 0.698419603
2 Touch 2061 29.9% 0.298825576
3 Generic 19 0.3% 0.002754821


advancedwifeaturesenabled


Variable label: [Determine whether the respondent’s browser supports Advanced WI Features that require client side scripts, such as sliders, drag-n-drop ranking, images instead of radio-buttons/check-boxes etc.]
Technical description: [Determine whether the respondent’s browser supports Advanced WI Features that require client side scripts, such as sliders, drag-n-drop ranking, images instead of radio-buttons/check-boxes etc.]
Technical attributes: [Format:character] [Valid:6897] [Invalid:0] [Range:-]



x_ran


Variable label: [Randomizes if rekruttert!=8.Divides respondents recruited prior to wave 8 into two thematically separate groups. Besides the core questions, the respondents only answer questions connected to their assigned group. ]
Technical description: [Randomizes if rekruttert!=8.Divides respondents recruited prior to wave 8 into two thematically separate groups. Besides the core questions, the respondents only answer questions connected to their assigned group. ]
Technical attributes: [Format:numeric] [Valid:4191] [Invalid:2706] [Range:1-2]

Value Label Cases Percentage
1 Part 2 - Respondents recruited in wave 1/3 2099 50.1% 0.5008351
2 Part 3 - Respondents recruited in wave 1/3 2092 49.9% 0.4991649
Sysmiss 2706 NA


r9k1


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:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very interested 846 12.3% 0.12266203
2 Interested 3259 47.3% 0.47252429
3 Somewhat interested 2125 30.8% 0.30810497
4 Not very interested 567 8.2% 0.08220966
5 Not interested at all 83 1.2% 0.01203422
97 No answer 17 0.2% 0.00246484


r9k8_1


Variable label: Placement on scale, political standing
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:6897] [Invalid:0] [Range:1-11]

Value Label Cases Percentage
1 0 Left 124 1.8% 0.01797883
2 1 301 4.4% 0.04364216
3 2 514 7.5% 0.07452516
4 3 1033 15% 0.14977526
5 4 923 13.4% 0.13382630
6 5 1105 16% 0.16021459
7 6 756 11% 0.10961288
8 7 920 13.3% 0.13339133
9 8 679 9.8% 0.09844860
10 9 218 3.2% 0.03160795
11 10 Right 141 2% 0.02044367
97 No answer 183 2.7% 0.02653328


r9tilfreds3


Variable label: Satisfied with: The government in Norway
Literal question: How satisfied are you with the present government in Norway?
Technical description: [All respondents asked.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very satisfied 267 3.9% 0.03871248
2 Satisfied 2047 29.7% 0.29679571
3 Somewhat satisfied 2228 32.3% 0.32303900
4 Not very satisfied 1623 23.5% 0.23531970
5 Not satisfied at all 485 7% 0.07032043
97 No answer 247 3.6% 0.03581267


r9tilfreds4


Variable label: Satisfied with: How 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:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very satisfied 990 14.4% 0.14354067
2 Satisfied 3442 49.9% 0.49905756
3 Somewhat satisfied 1326 19.2% 0.19225750
4 Not very satisfied 424 6.1% 0.06147600
5 Not satisfied at all 85 1.2% 0.01232420
97 No answer 630 9.1% 0.09134406


r9k204


Variable label: Would vote for following party at parliamentary election 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:6897] [Invalid:0] [Range:1-12]

Value Label Cases Percentage
1 The Christian Democrats 308 4.5% 0.04465710
2 The Conservative Party 1576 22.9% 0.22850515
3 The Progress Party 612 8.9% 0.08873423
4 The Liberal Party 264 3.8% 0.03827751
5 The Socialist Left Party 366 5.3% 0.05306655
6 The Centre Party 733 10.6% 0.10627809
7 The Green Party 299 4.3% 0.04335218
8 The Labour Party 1914 27.8% 0.27751196
9 The Red Party 206 3% 0.02986806
10 Other: 177 2.6% 0.02566333
11 Would not vote 223 3.2% 0.03233290
12 Not entitled to vote 167 2.4% 0.02421343
97 No answer 52 0.8% 0.00753951


r9k204_10_other


Variable label: Would vote for following party at parliamentary election tomorrow, other [Data withheld for the sake of anonymity]
Literal question: Which party would you vote for if there were a parliamentary election tomorrow?
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:6897] [Invalid:0] [Range:-]



r9k9_1


Variable label: [1] Most important political issues [Data withheld for the sake of anonymity]
Literal question: What are the most important political issues or areas for you personally?
Post-question: Please list the three most important issues where 1 is the most important, 2 the second most important and 3 is the third most important.
Technical description:

[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:6897] [Invalid:0] [Range:-]



r9k9_2


Variable label: [2] Most important political issues [Data withheld for the sake of anonymity]
Literal question: What are the most important political issues or areas for you personally?
Post-question: Please list the three most important issues where 1 is the most important, 2 the second most important and 3 is the third most important.
Technical description:

[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:6897] [Invalid:0] [Range:-]



r9k9_3


Variable label: [3] Most important political issues [Data withheld for the sake of anonymity]
Literal question: What are the most important political issues or areas for you personally?
Post-question: Please list the three most important issues where 1 is the most important, 2 the second most important and 3 is the third most important.
Technical description:

[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:6897] [Invalid:0] [Range:-]



r9k6_1


Variable label: Like/dislike: The Christian Democrats
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Christian Democratic Party
Technical description: [All respondents asked.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 686 9.9% 0.09946353
2 Really dislike 1087 15.8% 0.15760476
3 Dislike somewhat 1712 24.8% 0.24822387
4 Neither dislike nor like 1563 22.7% 0.22662027
5 Like somewhat 1235 17.9% 0.17906336
6 Really like 377 5.5% 0.05466145
7 Intensely like 81 1.2% 0.01174424
97 No answer 156 2.3% 0.02261853


r9k6_2


Variable label: Like/dislike: The Conservative Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Conservative Party
Technical description: [All respondents asked.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 244 3.5% 0.03537770
2 Really dislike 839 12.2% 0.12164709
3 Dislike somewhat 1340 19.4% 0.19428737
4 Neither dislike nor like 874 12.7% 0.12672176
5 Like somewhat 1613 23.4% 0.23386980
6 Really like 1502 21.8% 0.21777584
7 Intensely like 333 4.8% 0.04828186
97 No answer 152 2.2% 0.02203857


r9k6_3


Variable label: Like/dislike: The Progress Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Progress Party
Technical description: [All respondents asked.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 1841 26.7% 0.26692765
2 Really dislike 1378 20% 0.19979701
3 Dislike somewhat 972 14.1% 0.14093084
4 Neither dislike nor like 639 9.3% 0.09264898
5 Like somewhat 1055 15.3% 0.15296506
6 Really like 650 9.4% 0.09424387
7 Intensely like 207 3% 0.03001305
97 No answer 155 2.2% 0.02247354


r9k6_4


Variable label: Like/dislike: The Liberal Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Liberal Party
Technical description: [All respondents asked.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 766 11.1% 0.111062781
2 Really dislike 1044 15.1% 0.151370161
3 Dislike somewhat 1492 21.6% 0.216325939
4 Neither dislike nor like 1597 23.2% 0.231549949
5 Like somewhat 1379 20% 0.199942004
6 Really like 391 5.7% 0.056691315
7 Intensely like 59 0.9% 0.008554444
97 No answer 169 2.5% 0.024503407


r9k6_5


Variable label: Like/dislike: The Socialist Left Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Socialist Left Party
Technical description: [All respondents asked.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 1057 15.3% 0.15325504
2 Really dislike 1187 17.2% 0.17210381
3 Dislike somewhat 1285 18.6% 0.18631289
4 Neither dislike nor like 1278 18.5% 0.18529796
5 Like somewhat 1198 17.4% 0.17369871
6 Really like 592 8.6% 0.08583442
7 Intensely like 135 2% 0.01957373
97 No answer 165 2.4% 0.02392344


r9k6_6


Variable label: Like/dislike: The Centre Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Centre Party
Technical description: [All respondents asked.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 389 5.6% 0.05640133
2 Really dislike 717 10.4% 0.10395824
3 Dislike somewhat 1281 18.6% 0.18573293
4 Neither dislike nor like 1773 25.7% 0.25706829
5 Like somewhat 1638 23.7% 0.23749456
6 Really like 768 11.1% 0.11135276
7 Intensely like 168 2.4% 0.02435842
97 No answer 163 2.4% 0.02363346


r9k6_7


Variable label: Like/dislike: The Green Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Green Party
Technical description: [All respondents asked.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 1414 20.5% 0.20501667
2 Really dislike 1111 16.1% 0.16108453
3 Dislike somewhat 1136 16.5% 0.16470929
4 Neither dislike nor like 1177 17.1% 0.17065391
5 Like somewhat 1247 18.1% 0.18080325
6 Really like 538 7.8% 0.07800493
7 Intensely like 115 1.7% 0.01667392
97 No answer 159 2.3% 0.02305350


r9k6_8


Variable label: Like/dislike: The Labour Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Labour Party
Technical description: [All respondents asked.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 306 4.4% 0.04436712
2 Really dislike 548 7.9% 0.07945484
3 Dislike somewhat 1101 16% 0.15963462
4 Neither dislike nor like 952 13.8% 0.13803103
5 Like somewhat 1970 28.6% 0.28563143
6 Really like 1581 22.9% 0.22923010
7 Intensely like 294 4.3% 0.04262723
97 No answer 145 2.1% 0.02102363


r9k6_9


Variable label: Like/dislike: The Red Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Red Party
Technical description: [All respondents asked.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 1592 23.1% 0.23082500
2 Really dislike 1228 17.8% 0.17804843
3 Dislike somewhat 1067 15.5% 0.15470494
4 Neither dislike nor like 1456 21.1% 0.21110628
5 Like somewhat 887 12.9% 0.12860664
6 Really like 376 5.5% 0.05451646
7 Intensely like 110 1.6% 0.01594896
97 No answer 181 2.6% 0.02624329


r9k10


Variable label: Perception of the economic situation in Norway
Literal question: How do you perceive the current economic situation to be in Norway?
Post-question: Do you think it is:
Technical description: [All respondents asked.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 1220 17.7% 0.176888502
2 Good 3773 54.7% 0.547049442
3 Quite good 1143 16.6% 0.165724228
4 Neither good nor bad 301 4.4% 0.043642163
5 Quite bad 240 3.5% 0.034797738
6 Bad 49 0.7% 0.007104538
7 Very bad 16 0.2% 0.002319849
97 No answer 155 2.2% 0.022473539


r9sentral


Variable label: Agree/disagree: Government authorities show little consideration for rural Norway.
Pre-question text: To what extent do you agree or disagree with the following assertion?
Literal question: Government authorities show little consideration for non-urban/rural Norway.
Technical description: [All respondents asked.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 975 14.1% 0.14136581
2 Agree 1649 23.9% 0.23908946
3 Agree somewhat 1732 25.1% 0.25112368
4 Neither agree nor disagree 961 13.9% 0.13933594
5 Disagree somewhat 496 7.2% 0.07191533
6 Disagree 418 6.1% 0.06060606
7 Strongly disagree 133 1.9% 0.01928375
97 No answer 533 7.7% 0.07727998


r9k29


Variable label: Agree/disagree: Begging should be prohibited in Norway.
Pre-question text: Please look at the statement below.
Literal question: Begging should be prohibited in Norway.
Technical description: [All respondents asked.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 1591 23.1% 0.23068001
2 Agree 1480 21.5% 0.21458605
3 Agree somewhat 1284 18.6% 0.18616790
4 Neither agree nor disagree 739 10.7% 0.10714804
5 Disagree somewhat 563 8.2% 0.08162969
6 Disagree 699 10.1% 0.10134841
7 Strongly disagree 313 4.5% 0.04538205
97 No answer 228 3.3% 0.03305785


r9komref


Variable label: Support/oppose municipal reform
Pre-question text: As you are perhaps aware, the Government has suggested consolidating a number of municipalities in Norway.
Literal question: How much do you support or oppose this municipal reform?
Technical description: [Asked if x_ran!=2.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support a lot 559 11.7% 0.11743697
2 Support 932 19.6% 0.19579832
3 Support somewhat 1103 23.2% 0.23172269
4 Neither support nor oppose 717 15.1% 0.15063025
5 Oppose somewhat 657 13.8% 0.13802521
6 Oppose 429 9% 0.09012605
7 Strongly oppose 310 6.5% 0.06512605
97 No answer 53 1.1% 0.01113445
98 Not asked 2137 NA


r9intpol


Variable label: Interest in news pertaining to politics
Literal question: How interested are you in news pertaining to politics?
Technical description: [All respondents asked.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very interested 1159 16.8% 0.168044077
2 Interested 3428 49.7% 0.497027693
3 Somewhat interested 1783 25.9% 0.258518196
4 Not very interested 430 6.2% 0.062345948
5 Not interested at all 71 1% 0.010294331
97 No answer 26 0.4% 0.003769755


r9intliv


Variable label: Interest in news pertaining to sports/lifestyle/entertainment
Literal question: How interested are you in news pertaining to sports/lifestyle/entertainment?
Technical description: [All respondents asked.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very interested 545 7.9% 0.07901986
2 Interested 2507 36.3% 0.36349137
3 Somewhat interested 2142 31.1% 0.31056981
4 Not very interested 1123 16.3% 0.16282442
5 Not interested at all 243 3.5% 0.03523271
97 No answer 337 4.9% 0.04886182


r9knyhetred


Variable label: How important are the established media as source of news
Literal question: How important are the established media (such as TV, newspapers, radio and Internet newspapers) for you as sources of news?
Technical description: [All respondents asked.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 3128 45.4% 0.453530521
2 Important 2932 42.5% 0.425112368
3 Somewhat important 577 8.4% 0.083659562
4 Slightly important 148 2.1% 0.021458605
5 Not important at all 37 0.5% 0.005364651
97 No answer 75 1.1% 0.010874293


r9knyhetliv


Variable label: How important are social media as source of news
Literal question: How important are social media (such as Facebook, Twitter and Snapchat) for you as sources of news?
Technical description: [All respondents asked.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 361 5.2% 0.05234160
2 Important 1035 15% 0.15006525
3 Somewhat important 1584 23% 0.22966507
4 Slightly important 2097 30.4% 0.30404524
5 Not important at all 1606 23.3% 0.23285486
97 No answer 214 3.1% 0.03102798


eips2017a_ran


Variable label: [Randomizes if rekruttert=8. Selects random political unit [Norway / EU] for question eips2017a.]
Technical description: [Randomizes if rekruttert=8. Selects random political unit [Norway / EU] for question eips2017a.]
Technical attributes: [Format:numeric] [Valid:2706] [Invalid:4191] [Range:1-2]

Value Label Cases Percentage
1 Norway 1347 49.8% 0.4977827
2 EU 1359 50.2% 0.5022173
Sysmiss 4191 NA


eips2017a


Variable label: How democratic do you think [Norway/EU] is overall?
Literal question: How democratic do you think [Norway/EU] is overall?
Post-question: Please choose your answer below where 0 is not at all democratic and 10 is completely democratic.
Technical description: [Asked if rekruttert=8.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-11]

Value Label Cases Percentage
1 0 - Not democratic at all 71 2.6% 0.02623799
2 1 71 2.6% 0.02623799
3 2 148 5.5% 0.05469327
4 3 211 7.8% 0.07797487
5 4 192 7.1% 0.07095344
6 5 378 14% 0.13968958
7 6 265 9.8% 0.09793052
8 7 442 16.3% 0.16334072
9 8 479 17.7% 0.17701404
10 9 298 11% 0.11012565
11 10 - Completely democratic 115 4.2% 0.04249815
97 No answer 36 1.3% 0.01330377
98 Not asked 4191 NA


eips2017b


Variable label: Justification to how democratic you think [Norway/EU] is overall [Data withheld for the sake of anonymity]
Pre-question text: How democratic do you think [Norway/EU] is overall? Please choose your alternative below where 0 is not at all democratic and 10 is completely democratic. Your answer: [print out of eips2017a, 0-10]
Literal question: Could you justify your answer to the previous question?
Post-question: Your response will be studied carefully, so please take the time to fill in your views:
Technical description:

[Asked if rekruttert=8 and eips2017a is answered.]

[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:6897] [Invalid:0] [Range:-]



eips2017c_ran


Variable label: [Randomizes if rekruttert=8. Selects random geographic distance [blank / for you personally / for Norway / for Europe / for the world] for the question eips2017c_1.]
Technical description: [Randomizes if rekruttert=8. Selects random geographic distance [blank / for you personally / for Norway / for Europe / for the world] for the question eips2017a.]
Technical attributes: [Format:numeric] [Valid:2688] [Invalid:4209] [Range:1-5]

Value Label Cases Percentage
1 [blank] 534 19.9% 0.1986607
2 for you personally 547 20.3% 0.2034970
3 for Norway 544 20.2% 0.2023810
4 for Europe 530 19.7% 0.1971726
5 for the world 533 19.8% 0.1982887
Sysmiss 4209 NA


eips2017c_1


Variable label: To what extent do you see climate change as a threat [blank / for you personally / for Norway / for Europe / for the world]?
Literal question: To what extent do you see climate change as a threat [blank / for you personally / for Norway / for Europe / for the world]?
Technical description: [Asked if rekruttert=8.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-11]

Value Label Cases Percentage
1 0 No threat at all 103 3.8% 0.03806356
2 1 61 2.3% 0.02254250
3 2 139 5.1% 0.05136733
4 3 191 7.1% 0.07058389
5 4 180 6.7% 0.06651885
6 5 343 12.7% 0.12675536
7 6 353 13% 0.13045085
8 7 532 19.7% 0.19660015
9 8 412 15.2% 0.15225425
10 9 191 7.1% 0.07058389
11 10 Extreme threat 169 6.2% 0.06245381
97 No answer 32 1.2% 0.01182557
98 Not asked 4191 NA


eips2017d


Variable label: Do you oppose/support Norwegian membership in the EU?
Literal question: Now thinking about the European Union, how much do you oppose or support Norwegian membership in the EU?
Post-question: Please choose your answer below where 0 is completely oppose and 10 is completely support.
Technical description: [Asked if rekruttert=8.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-11]

Value Label Cases Percentage
1 0 I completely oppose Norwegian EU membership 747 27.6% 0.27605322
2 1 189 7% 0.06984479
3 2 282 10.4% 0.10421286
4 3 272 10.1% 0.10051737
5 4 168 6.2% 0.06208426
6 5 363 13.4% 0.13414634
7 6 141 5.2% 0.05210643
8 7 146 5.4% 0.05395418
9 8 163 6% 0.06023651
10 9 54 2% 0.01995565
11 10 I completely support Norwegian EU membership 135 5% 0.04988914
97 Ikke svart 46 1.7% 0.01699926
98 Ikke spurt 4191 NA


eips2017e_turnout


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses election turnout. ]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses election turnout. ]
Technical attributes: [Format:numeric] [Valid:2682] [Invalid:4215] [Range:1-5]

Value Label Cases Percentage
1 [Blank] 532 19.8% 0.1983594
2 35% of the citizens participated 532 19.8% 0.1983594
3 47% of the citizens participated 570 21.3% 0.2125280
4 53% of the citizens participated 567 21.1% 0.2114094
5 85% of the citizens participated 481 17.9% 0.1793438
Sysmiss 4215 NA


eips2017e_majoritysize


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses majority size. ]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses majority size. ]
Technical attributes: [Format:numeric] [Valid:2682] [Invalid:4215] [Range:1-4]

Value Label Cases Percentage
1 [Blank] 658 24.5% 0.2453393
2 The winning side received 51% of the votes 656 24.5% 0.2445936
3 The winning side received 55% of the votes 707 26.4% 0.2636092
4 The winning side received 70% of the votes 661 24.6% 0.2464579
Sysmiss 4215 NA


eips2017e_winner


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses winner. ]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses winner. ]
Technical attributes: [Format:numeric] [Valid:2682] [Invalid:4215] [Range:1-3]

Value Label Cases Percentage
1 [Blank] 881 32.8% 0.3284862
2 The pro-EU side won the majority 918 34.2% 0.3422819
3 The anti-EU side won the majority 883 32.9% 0.3292319
Sysmiss 4215 NA


eips2017e_dv


Variable label: Should the government follow outcome of referendum even though the majority of the national parliament disagreed?
Pre-question text:

We are interested in how people see the role of referendums in political decisions. Imagine a debate surfaced concerning the membership of Norway in the EU, and that an advisory referendum was held on the issue.

[Printout of the value of eips2017e_turnout, eips2017e_majoritysize, eips2017e_winner]
Literal question: What is right in such a situation, should the government follow the outcome of the referendum even though the majority of the national parliament disagreed with the referendum outcome?
Technical description: [Asked if rekruttert=8. Conjoint experiment. Respondent is exposed to an vignette which vary along three dimensions (see background variables). ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
0 No, the government should not follow the outcome of the referendum 627 23.2% 0.23170732
1 Yes, the government should follow the outcome of the referendum 1968 72.7% 0.72727273
97 No answer 111 4.1% 0.04101996
98 Not asked 4191 NA


eips2017f_entity


Variable label: [Asked if rekruttert=8. Selects random political unit [Norway / EU] for question eips2017f_dv.]
Technical description: [Asked if rekruttert=8. Selects random political unit [Norway / EU] for question eips2017f_dv.]
Technical attributes: [Format:numeric] [Valid:2676] [Invalid:4221] [Range:1-2]

Value Label Cases Percentage
1 Norway 1329 49.7% 0.4966368
2 EU 1347 50.3% 0.5033632
Sysmiss 4221 NA


eips2017f_dv


Variable label: How much does the political system in [Norway / EU] allow people like you to have an influence on politics?
Literal question: How much would you say that the political system in [Norway / EU] allows people like you to have an influence on politics?
Technical description: [Asked if rekruttert=8.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-11]

Value Label Cases Percentage
1 0 Not at all 450 16.6% 0.166297118
2 1 221 8.2% 0.081670362
3 2 294 10.9% 0.108647450
4 3 373 13.8% 0.137841833
5 4 260 9.6% 0.096082779
6 5 404 14.9% 0.149297857
7 6 239 8.8% 0.088322247
8 7 245 9.1% 0.090539542
9 8 102 3.8% 0.037694013
10 9 28 1% 0.010347376
11 10 Completely 25 0.9% 0.009238729
97 No answer 65 2.4% 0.024020695
98 Not asked 4191 NA


eips2017g_ran


Variable label: [Randomizes if rekruttert=8. Conjoint Experiment. Randomly selects either eips2017g_1 or eips2017g_2.]
Technical description: [Randomizes if rekruttert=8. Conjoint Experiment. Randomly selects either eips2017g_1 or eips2017g_2.]
Technical attributes: [Format:numeric] [Valid:2671] [Invalid:4226] [Range:1-2]

Value Label Cases Percentage
1 Choose eips2017g_1 1353 50.7% 0.5065519
2 Choose eips2017g_2 1318 49.3% 0.4934481
Sysmiss 4226 NA


eips2017g_1_gender


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses gender for candidate 1.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses gender for candidate 1.]
Technical attributes: [Format:numeric] [Valid:2671] [Invalid:4226] [Range:0-1]

Value Label Cases Percentage
0 Male 1316 49.3% 0.4926994
1 Female 1355 50.7% 0.5073006
Sysmiss 4226 NA


eips2017g_2_gender


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses gender for candidate 2.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses gender for candidate 2.]
Technical attributes: [Format:numeric] [Valid:2671] [Invalid:4226] [Range:0-1]

Value Label Cases Percentage
0 Male 1370 51.3% 0.5129165
1 Female 1301 48.7% 0.4870835
Sysmiss 4226 NA


eips2017g_1_age


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses age for candidate 1.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses age for candidate 1.]
Technical attributes: [Format:numeric] [Valid:2671] [Invalid:4226] [Range:1-3]

Value Label Cases Percentage
1 28 943 35.3% 0.3530513
2 45 826 30.9% 0.3092475
3 71 902 33.8% 0.3377012
Sysmiss 4226 NA


eips2017g_2_age


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses age for candidate 2.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses age for candidate 2.]
Technical attributes: [Format:numeric] [Valid:2671] [Invalid:4226] [Range:1-3]

Value Label Cases Percentage
1 28 883 33.1% 0.3305878
2 45 906 33.9% 0.3391988
3 71 882 33% 0.3302134
Sysmiss 4226 NA


eips2017g_1_edu


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses completed level of education for candidate 1.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses completed level of education for candidate 1.]
Technical attributes: [Format:numeric] [Valid:2671] [Invalid:4226] [Range:0-1]

Value Label Cases Percentage
0 High school 1318 49.3% 0.4934481
1 University level 1353 50.7% 0.5065519
Sysmiss 4226 NA


eips2017g_2_edu


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses completed level of education for candidate 2.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses completed level of education for candidate 2.]
Technical attributes: [Format:numeric] [Valid:2671] [Invalid:4226] [Range:0-1]

Value Label Cases Percentage
0 High school 1298 48.6% 0.4859603
1 University level 1373 51.4% 0.5140397
Sysmiss 4226 NA


eips2017g_1_religion


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses religious background for candidate 1.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses religious background for candidate 1.]
Technical attributes: [Format:numeric] [Valid:2671] [Invalid:4226] [Range:1-5]

Value Label Cases Percentage
1 No religion 508 19% 0.1901909
2 Christian 531 19.9% 0.1988019
3 Non-practicing Christian 531 19.9% 0.1988019
4 Muslim 524 19.6% 0.1961812
5 Non-practicing Muslim 577 21.6% 0.2160240
Sysmiss 4226 NA


eips2017g_2_religion


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses religious background for candidate 2.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses religious background for candidate 2.]
Technical attributes: [Format:numeric] [Valid:2671] [Invalid:4226] [Range:1-5]

Value Label Cases Percentage
1 No religion 525 19.7% 0.1965556
2 Christian 545 20.4% 0.2040434
3 Non-practicing Christian 525 19.7% 0.1965556
4 Muslim 538 20.1% 0.2014227
5 Non-practicing Muslim 538 20.1% 0.2014227
Sysmiss 4226 NA


eips2017g_1_class


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses familiy background for candidate 1.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses familiy background for candidate 1.]
Technical attributes: [Format:numeric] [Valid:2671] [Invalid:4226] [Range:1-3]

Value Label Cases Percentage
1 Working class 890 33.3% 0.3332085
2 Middle class 907 34% 0.3395732
3 Upper class 874 32.7% 0.3272183
Sysmiss 4226 NA


eips2017g_2_class


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses family background for candidate 2.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses family background for candidate 2.]
Technical attributes: [Format:numeric] [Valid:2671] [Invalid:4226] [Range:1-3]

Value Label Cases Percentage
1 Working class 912 34.1% 0.3414452
2 Middle class 841 31.5% 0.3148633
3 Upper class 918 34.4% 0.3436915
Sysmiss 4226 NA


eips2017g_1


Variable label: Political candidate that will agree most with your own political views
Pre-question text:

Below we describe two hypothetical political candidates. Please read the descriptions of each person carefully.

[Printout of the value of eips2017g_1_gender, eips2017g_2_gender, eips2017g_1_age, eips2017g_2_age, eips2017g_1_edu, eips2017g_2_edu, eips2017g_1_religion, eips2017g_2_religion, eips2017g_1_class, eips2017g_2_class]
Literal question: Based on your own judgment, please indicate which political candidate you think will agree most with your own political views.
Technical description: [Asked if rekruttert=8 and eips2017g_ran=1. Conjoint experiment. The respondents are exposed to two political candidates. The characteristics of the candidates is chosen at random. See background variables. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Candidate 1 648 47.9% 0.4789357
2 Candidate 2 647 47.8% 0.4781966
97 No answer 58 4.3% 0.0428677
98 Not asked 5544 NA


eips2017g_2


Variable label: Relying on given information, which candidate would you prefer as political representative at the national level?
Pre-question text:

Below we describe two hypothetical political candidates. Please read the descriptions of each person carefully.

[Printout of the value of eips2017g_1_gender, eips2017g_2_gender, eips2017g_1_age, eips2017g_2_age, eips2017g_1_edu, eips2017g_2_edu, eips2017g_1_religion, eips2017g_2_religion, eips2017g_1_class, eips2017g_2_class]
Literal question: Relying solely on this information, which political candidate would you prefer as your political representative at the national level?
Technical description: [Asked if rekruttert=8 and eips2017g_ran=2. Conjoint experiment. The respondents are exposed to two political candidates. The characteristics of the candidates is chosen at random. See background variables. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Candidate 1 641 48.6% 0.48634294
2 Candidate 2 611 46.4% 0.46358118
97 No answer 66 5% 0.05007587
98 Not asked 5579 NA


eips2017h_ran


Variable label: [Randomizes if rekruttert=8. Randomly selects either eips2017h_1 or eips2017h_2.]
Technical description: [Randomizes if rekruttert=8. Randomly selects either eips2017h_1 or eips2017h_2.]
Technical attributes: [Format:numeric] [Valid:2669] [Invalid:4228] [Range:1-2]

Value Label Cases Percentage
1 Choose eips2017h_1. 1300 48.7% 0.4870738
2 Choose eips2017h_2. 1369 51.3% 0.5129262
Sysmiss 4228 NA


eips2017h_1_gender


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses gender for candidate 1.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses gender for candidate 1.]
Technical attributes: [Format:numeric] [Valid:2669] [Invalid:4228] [Range:0-1]

Value Label Cases Percentage
0 Male 1347 50.5% 0.5046834
1 Female 1322 49.5% 0.4953166
Sysmiss 4228 NA


eips2017h_2_gender


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses gender for candidate 2.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses gender for candidate 2.]
Technical attributes: [Format:numeric] [Valid:2669] [Invalid:4228] [Range:0-1]

Value Label Cases Percentage
0 Male 1393 52.2% 0.5219183
1 Female 1276 47.8% 0.4780817
Sysmiss 4228 NA


eips2017h_1_edu


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses completed level of education for candidate 1.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses completed level of education for candidate 1.]
Technical attributes: [Format:numeric] [Valid:2669] [Invalid:4228] [Range:1-2]

Value Label Cases Percentage
1 High school 1280 48% 0.4795804
2 University level 1389 52% 0.5204196
Sysmiss 4228 NA


eips2017h_2_edu


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses completed level of education for candidate 2.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses completed level of education for candidate 2.]
Technical attributes: [Format:numeric] [Valid:2669] [Invalid:4228] [Range:1-2]

Value Label Cases Percentage
1 High school 1378 51.6% 0.5162982
2 University level 1291 48.4% 0.4837018
Sysmiss 4228 NA


eips2017h_1_age


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses age for candidate 1.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses age for candidate 1.]
Technical attributes: [Format:numeric] [Valid:2669] [Invalid:4228] [Range:1-2]

Value Label Cases Percentage
1 30's 1305 48.9% 0.4889472
2 50's 1364 51.1% 0.5110528
Sysmiss 4228 NA


eips2017h_2_age


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses age for candidate 2.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses age for candidate 2.]
Technical attributes: [Format:numeric] [Valid:2669] [Invalid:4228] [Range:1-2]

Value Label Cases Percentage
1 30's 1350 50.6% 0.5058074
2 50's 1319 49.4% 0.4941926
Sysmiss 4228 NA


eips2017h_1_class


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses familiy background for candidate 1.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses familiy background for candidate 1.]
Technical attributes: [Format:numeric] [Valid:2669] [Invalid:4228] [Range:1-3]

Value Label Cases Percentage
1 Working class 888 33.3% 0.3327089
2 Middle class 882 33% 0.3304608
3 Upper class 899 33.7% 0.3368303
Sysmiss 4228 NA


eips2017h_2_class


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses family background for candidate 2.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses family background for candidate 2.]
Technical attributes: [Format:numeric] [Valid:2669] [Invalid:4228] [Range:1-3]

Value Label Cases Percentage
1 Working class 900 33.7% 0.3372049
2 Middle class 918 34.4% 0.3439490
3 Upper class 851 31.9% 0.3188460
Sysmiss 4228 NA


eips2017h_1_occupation


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses occupation for candidate 1.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses occupation for candidate 1.]
Technical attributes: [Format:numeric] [Valid:2669] [Invalid:4228] [Range:1-5]

Value Label Cases Percentage
1 Politician 558 20.9% 0.2090671
2 Business leader 526 19.7% 0.1970776
3 TV Celebrity 571 21.4% 0.2139378
4 Industry worker 506 19% 0.1895841
5 Farmer 508 19% 0.1903335
Sysmiss 4228 NA


eips2017h_2_occupation


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses occupation for candidate 2.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses occupation for candidate 2.]
Technical attributes: [Format:numeric] [Valid:2669] [Invalid:4228] [Range:1-5]

Value Label Cases Percentage
1 Politician 554 20.8% 0.2075684
2 Business leader 504 18.9% 0.1888348
3 TV Celebrity 522 19.6% 0.1955789
4 Industry worker 530 19.9% 0.1985762
5 Farmer 559 20.9% 0.2094417
Sysmiss 4228 NA


eips2017h_1_polex


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses the political experience for candidate 1.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses the political experience for candidate 1.]
Technical attributes: [Format:numeric] [Valid:2669] [Invalid:4228] [Range:1-3]

Value Label Cases Percentage
1 None 942 35.3% 0.3529412
2 Limited 883 33.1% 0.3308355
3 Extensive 844 31.6% 0.3162233
Sysmiss 4228 NA


eips2017h_2_polex


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses the political experience for candidate 2.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses the political experience for candidate 2.]
Technical attributes: [Format:numeric] [Valid:2669] [Invalid:4228] [Range:1-3]

Value Label Cases Percentage
1 None 875 32.8% 0.3278381
2 Limited 897 33.6% 0.3360809
3 Extensive 897 33.6% 0.3360809
Sysmiss 4228 NA


eips2017h_1_workplace


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses workplace for candidate 1.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses workplace for candidate 1.]
Technical attributes: [Format:numeric] [Valid:2669] [Invalid:4228] [Range:1-3]

Value Label Cases Percentage
1 Brussel 862 32.3% 0.3229674
2 Oslo 882 33% 0.3304608
3 In your home region 925 34.7% 0.3465717
Sysmiss 4228 NA


eips2017h_2_workplace


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses workplace for candidate 2.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses workplace for candidate 2.]
Technical attributes: [Format:numeric] [Valid:2669] [Invalid:4228] [Range:1-3]

Value Label Cases Percentage
1 Brussel 930 34.8% 0.3484451
2 Oslo 890 33.3% 0.3334582
3 In your home region 849 31.8% 0.3180967
Sysmiss 4228 NA


eips2017h_1_media


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses a news story for candidate 1.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses a news story for candidate 1.]
Technical attributes: [Format:numeric] [Valid:2669] [Invalid:4228] [Range:1-3]

Value Label Cases Percentage
1 Endorsed candidate 909 34.1% 0.3405770
2 Critized candidate 878 32.9% 0.3289622
3 Ridiculed candidate 882 33% 0.3304608
Sysmiss 4228 NA


eips2017h_2_media


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses a news story for candidate 2.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses a news story for candidate 2.]
Technical attributes: [Format:numeric] [Valid:2669] [Invalid:4228] [Range:1-3]

Value Label Cases Percentage
1 Endorsed candidate 891 33.4% 0.3338329
2 Critized candidate 903 33.8% 0.3383290
3 Ridiculed candidate 875 32.8% 0.3278381
Sysmiss 4228 NA


eips2017h_1_ideology


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses the political ideology for candidate 1.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses the political ideology for candidate 1.]
Technical attributes: [Format:numeric] [Valid:2669] [Invalid:4228] [Range:1-2]

Value Label Cases Percentage
1 On the left 1335 50% 0.5001873
2 On the right 1334 50% 0.4998127
Sysmiss 4228 NA


eips2017h_2_ideology


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses the political ideology for candidate 2.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses the political ideology for candidate 2.]
Technical attributes: [Format:numeric] [Valid:2669] [Invalid:4228] [Range:1-2]

Value Label Cases Percentage
1 On the left 1341 50.2% 0.5024354
2 On the right 1328 49.8% 0.4975646
Sysmiss 4228 NA


eips2017h_1_immigration


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses candidate 1’s attitude towards immigration.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses candidate 1’s attitude towards immigration.]
Technical attributes: [Format:numeric] [Valid:2669] [Invalid:4228] [Range:1-2]

Value Label Cases Percentage
1 Bad for the country 1331 49.9% 0.4986886
2 Good for the country 1338 50.1% 0.5013114
Sysmiss 4228 NA


eips2017h_2_immigration


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses candidate 2’s attitude towards immigration.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses candidate 2’s attitude towards immigration.]
Technical attributes: [Format:numeric] [Valid:2669] [Invalid:4228] [Range:1-2]

Value Label Cases Percentage
1 Bad for the country 1320 49.5% 0.4945673
2 Good for the country 1349 50.5% 0.5054327
Sysmiss 4228 NA


eips2017h_1_eumembership


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses candidate 1’s attitude towards membership in EU.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses candidate 1’s attitude towards membership in EU.]
Technical attributes: [Format:numeric] [Valid:2669] [Invalid:4228] [Range:1-2]

Value Label Cases Percentage
1 In favor of referendum on EU membership 1346 50.4% 0.5043087
2 Against referendum on EU membership 1323 49.6% 0.4956913
Sysmiss 4228 NA


eips2017h_2_eumembership


Variable label: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses candidate 2’s attitude towards membership in EU.]
Technical description: [Asked if rekruttert=8. Background variable for conjoint experiment. Randomly chooses candidate 2’s attitude towards membership in EU.]
Technical attributes: [Format:numeric] [Valid:2669] [Invalid:4228] [Range:1-2]

Value Label Cases Percentage
1 In favor of referendum on EU membership 1332 49.9% 0.4990633
2 Against referendum on EU membership 1337 50.1% 0.5009367
Sysmiss 4228 NA


eips2017h_1a


Variable label: Description of two candidates: Who would you choose, national elections tomorrow
Pre-question text:

Below we describe two hypothetical political candidates. Please read the descriptions of each person carefully.

[Printout of the value of eips2017h_1_gender, eips2017h_2_gender, eips2017h_1_edu, eips2017h_2_edu, eips2017h_1_age, eips2017h_2_age, eips2017h_1_class, eips2017h_2_class, eips2017h_1_occupation, eips2017h_2_occupation, eips2017h_1_polex, eips2017h_2_polex, eips2017h_1_workplace, eips2017h_2_workplace, eips2017h_1_media, eips2017h_2_media, eips2017h_1_ideology, eips2017h_2_ideology, eips2017h_1_immigration, eips2017h_2_immigration, eips2017h_1_eumembership, eips2017h_2_eumembership]
Literal question: If there were national elections tomorrow and you had to vote for one of these two candidates, which candidate would you choose?
Technical description: [Asked if rekruttert=8 and eips2017h_ran=1.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Candidate 1 633 48.7% 0.48692308
2 Candidate 2 616 47.4% 0.47384615
97 No answer 51 3.9% 0.03923077
98 Not asked 5597 NA


eips2017h_1b


Variable label: Candidate who is most likely to represent the concerns of ordinary people in your country
Literal question: Which candidate is in your view most likely to represent the concerns of ordinary people in your country?
Technical description: [Asked if rekruttert=8 and eips2017h_ran=1.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Candidate 1 617 47.5% 0.47461538
2 Candidate 2 611 47% 0.47000000
97 No answer 72 5.5% 0.05538462
98 Not asked 5597 NA


eips2017h_2a


Variable label: Description of two candidates: Candidate who is most likely to represent the concerns of ordinary people in your country
Pre-question text:

Below we describe two hypothetical political candidates. Please read the descriptions of each person carefully.

[Printout of the value of eips2017h_1_gender, eips2017h_2_gender, eips2017h_1_edu, eips2017h_2_edu, eips2017h_1_age, eips2017h_2_age, eips2017h_1_class, eips2017h_2_class, eips2017h_1_occupation, eips2017h_2_occupation, eips2017h_1_polex, eips2017h_2_polex, eips2017h_1_workplace, eips2017h_2_workplace, eips2017h_1_media, eips2017h_2_media, eips2017h_1_ideology, eips2017h_2_ideology, eips2017h_1_immigration, eips2017h_2_immigration, eips2017h_1_eumembership, eips2017h_2_eumembership]
Literal question: Which candidate is in your view most likely to represent the concerns of ordinary people in your country?
Technical description: [Asked if rekruttert=8 and eips2017h_ran=2.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Candidate 1 663 48.4% 0.48429511
2 Candidate 2 640 46.7% 0.46749452
97 No answer 66 4.8% 0.04821037
98 Not asked 5528 NA


eips2017h_2b


Variable label: Who would you choose, national elections tomorrow
Literal question: If there were national elections tomorrow and you had to vote for one of these two candidates, which candidate would you choose?
Technical description: [Asked if rekruttert=8 and eips2017h_ran=2.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Candidate 1 634 46.3% 0.46311176
2 Candidate 2 648 47.3% 0.47333820
97 No answer 87 6.4% 0.06355004
98 Not asked 5528 NA


eips2017i_ran


Variable label: [Randomizes if rekruttert=8. Randomly selects [The Progress party/ The Liberal party/ Christian church / Muslim community / An anti-Islamic group / A neo-Nazi group /A Muslim fundamentalist group] to question EIPS2017I.]
Technical description: [Randomizes if rekruttert=8. Randomly selects [The Progress party/ The Liberal party/ Christian church / Muslim community / An anti-Islamic group / A neo-Nazi group /A Muslim fundamentalist group] to question eips2017i.]
Technical attributes: [Format:numeric] [Valid:2661] [Invalid:4236] [Range:1-7]

Value Label Cases Percentage
1 The Progress party 394 14.8% 0.1480646
2 The Liberal party 380 14.3% 0.1428035
3 Christian church 407 15.3% 0.1529500
4 Muslim community 357 13.4% 0.1341601
5 An anti-Islamic group 363 13.6% 0.1364149
6 A neo-Nazi group 370 13.9% 0.1390455
7 A Muslim fundamentalist group 390 14.7% 0.1465614
Sysmiss 4236 NA


eips2017i


Variable label: Agree/disagree: [The Progress party/ The Liberal party/ Christian church / Muslim community / An anti-Islamic group / A neo-Nazi group /A Muslim fundamentalist group] has asked to rent local community house, should they be allowed?
Pre-question text: Imagine that [The Progress party/ The Liberal party/ Christian church / Muslim community / An anti-Islamic group / A neo-Nazi group /A Muslim fundamentalist group] has asked to rent a local community house in order to hold a meeting for its members and sympathizers.
Literal question: To what extent do you agree that the [The Progress party/ The Liberal party/ Christian church / Muslim community / An anti-Islamic group / A neo-Nazi group /A Muslim fundamentalist group] should be allowed to rent the local community house for this purpose?
Technical description: [Asked if rekruttert=8.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-11]

Value Label Cases Percentage
1 0 Do not agree at all 503 18.6% 0.18588322
2 1 99 3.7% 0.03658537
3 2 110 4.1% 0.04065041
4 3 98 3.6% 0.03621582
5 4 83 3.1% 0.03067258
6 5 297 11% 0.10975610
7 6 84 3.1% 0.03104213
8 7 144 5.3% 0.05321508
9 8 197 7.3% 0.07280118
10 9 114 4.2% 0.04212860
11 10 Completely agree 899 33.2% 0.33222469
97 No answer 78 2.9% 0.02882483
98 Not asked 4191 NA


r9helse1_ran


Variable label: [Randomizes if rekruttert=8. Randomly selects r9helse1a or r9helse1b.]
Technical description: [Randomizes if rekruttert=8. Randomly selects r9helse1a or r9helse1b.]
Technical attributes: [Format:numeric] [Valid:2657] [Invalid:4240] [Range:1-2]

Value Label Cases Percentage
1 Choose r9helse1a. 1336 50.3% 0.5028227
2 Choose r9helse1ab. 1321 49.7% 0.4971773
Sysmiss 4240 NA


r9helse1a


Variable label: Thoughts when you hear/read the word antibiotics [Data withheld for the sake of anonymity]
Literal question: What do you think when you hear or read the word antibiotics?
Post-question: Please write the first thing that comes into your mind. We want all types of answers; a couple of sentences would be good, or just a few words if that is better for you.
Technical description:

[Asked if rekruttert=8 and r9helse1_ran=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:6897] [Invalid:0] [Range:-]



r9helse1b


Variable label: Thoughts when you hear/read the term “antibiotics-resistant bacteria” [Data withheld for the sake of anonymity]
Literal question: What do you think when you hear or read the term “antibiotics-resistant bacteria”?
Post-question: Please write the first thing that comes into your mind. We want all types of answers; a couple of sentences would be good, or just a few words if that is better for you.
Technical description:

[Asked if rekruttert=8 and r9helse1_ran=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:6897] [Invalid:0] [Range:-]



r9helse3


Variable label: Agree/disagree: Should spend fewer resources on treatment of illnesses due to smoking/alcohol/narcotics
Pre-question text: Many people become ill because of a lifestyle that includes smoking, high alcohol consumption, abuse of medications or narcotic substances.
Literal question: Do you agree or disagree that the authorities should spend fewer resources on treatment of illnesses that are due to these types of lifestyle (for example, that the patient should pay a higher co-pay fee or get a less expensive treatment than other patients get)?
Post-question: Afterwards, we will ask you to justify your answer.
Technical description: [Asked if rekruttert=8.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Agree 584 21.6% 0.21581670
2 Disagree 2028 74.9% 0.74944568
97 No answer 94 3.5% 0.03473762
98 Not asked 4191 NA


r9helse3_1


Variable label: Explanation why you agree on spending fewer resources [Data withheld for the sake of anonymity]
Literal question: Can you explain why you answered that you agree that the authorities should spend fewer resources to treat these kinds of lifestyle-related illnesses?
Technical description:

[Asked if rekruttert=8 and r9helse3=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:6897] [Invalid:0] [Range:-]



r9helse3_2


Variable label: Explanation why you disagree on spending fewer resources [Data withheld for the sake of anonymity]
Literal question: Can you explain why you answered that you disagree that the authorities should spend fewer resources to treat these kinds of lifestyle-related illnesses?
Technical description:

[Asked if rekruttert=8 and r9helse3=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:6897] [Invalid:0] [Range:-]



r9helse2_1


Variable label: Perception, Norwegian public health system: Confident that you will be given good treatment if you become acutely and seriously ill
Pre-question text: We want to ask you a few questions related to your perception of how the Norwegian public health service functions.
Literal question: How confident do you feel that you will be given good treatment in the public healthcare system if you should become acutely and seriously ill?
Technical description: [Asked if rekruttert=8.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very confident 846 31.3% 0.312638581
2 Confident 1234 45.6% 0.456023651
3 Somewhat confident 341 12.6% 0.126016260
4 Neither confident nor unconfident 59 2.2% 0.021803400
5 Somewhat unconfident 88 3.3% 0.032520325
6 Unconfident 45 1.7% 0.016629712
7 Very unconfident 20 0.7% 0.007390983
97 No answer 73 2.7% 0.026977088
98 Not asked 4191 NA


r9helse2_2


Variable label: Perception, Norwegian public health system: Confident that you will be given good treatment if you become seriously ill, not acutely
Pre-question text: We want to ask you a few questions related to your perception of how the Norwegian public health service functions.
Literal question: How confident do you feel that you will be given good treatment in the public healthcare system if you should become seriously sick (but not acutely)?
Technical description: [Asked if rekruttert=8.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very confident 546 20.2% 0.20177384
2 Confident 1231 45.5% 0.45491500
3 Somewhat confident 548 20.3% 0.20251293
4 Neither confident nor unconfident 92 3.4% 0.03399852
5 Somewhat unconfident 132 4.9% 0.04878049
6 Unconfident 59 2.2% 0.02180340
7 Very unconfident 23 0.8% 0.00849963
97 No answer 75 2.8% 0.02771619
98 Not asked 4191 NA


r9helse2_3


Variable label: Perception, Norwegian public health system: Confident that you will be given good treatment if you experience a troublesome condition, neither acutely or seriously ill
Pre-question text: We want to ask you a few questions related to your perception of how the Norwegian public health service functions.
Literal question: How confident do you feel that you will be given good treatment in the public healthcare system if you should experience a troublesome condition (but not acute or serious illness)?
Technical description: [Asked if rekruttert=8.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very confident 281 10.4% 0.10384331
2 Confident 871 32.2% 0.32187731
3 Somewhat confident 761 28.1% 0.28122690
4 Neither confident nor unconfident 285 10.5% 0.10532151
5 Somewhat unconfident 243 9% 0.08980044
6 Unconfident 115 4.2% 0.04249815
7 Very unconfident 74 2.7% 0.02734664
97 No answer 76 2.8% 0.02808574
98 Not asked 4191 NA


r9helse4


Variable label: Aware of advice given by health authorities pertaining to lifestyle/health
Literal question: Are you aware of advice given by health authorities pertaining to lifestyle and health, such as advice on diet/nutrition or a recommendation to take flu shots?
Technical description: [Asked if rekruttert=8.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 2366 87.4% 0.87435329
2 No 231 8.5% 0.08536585
97 No answer 109 4% 0.04028086
98 Not asked 4191 NA


r9helse4_1


Variable label: To what extent do you trust such advice from the health authorities?
Literal question: To what extent do you trust such advice from the health authorities?
Technical description: [Asked if rekruttert=8 and r9helse4=1.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great extent 338 14.3% 0.142857143
2 To a great extent 1186 50.1% 0.501267963
3 Somewhat 702 29.7% 0.296703297
4 To a small extent 90 3.8% 0.038038884
5 Not at all 31 1.3% 0.013102282
97 No answer 19 0.8% 0.008030431
98 Not asked 4531 NA


r9helse4_2


Variable label: To what extent do you follow the advice from the health authorities?
Literal question: To what extent do you follow the advice from the health authorities?
Technical description: [Asked if rekruttert=8 and r9helse4=1.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great extent 151 6.4% 0.063820795
2 To a great extent 896 37.9% 0.378698225
3 Somewhat 1060 44.8% 0.448013525
4 To a small extent 137 5.8% 0.057903635
5 Not at all 19 0.8% 0.008030431
97 No answer 103 4.4% 0.043533390
98 Not asked 4531 NA


r9helse5


Variable label: To what extent do you follow the advice given by your family doctor
Literal question: To what extent do you follow the advice given by your family doctor, such as advice on diet/nutrition or a recommendation to take flu shots?
Technical description: [Asked if rekruttert=8.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great extent 376 13.9% 0.13895048
2 To a great extent 1205 44.5% 0.44530673
3 Somewhat 788 29.1% 0.29120473
4 To a small extent 141 5.2% 0.05210643
5 Not at all 84 3.1% 0.03104213
97 No answer 112 4.1% 0.04138950
98 Not asked 4191 NA


r9pad1


Variable label: How important is it to accept decisions about important social issues adopted by politicians/authorities
Pre-question text: We would like to ask you some general questions about how you perceive being a citizen in a democratic society.
Literal question: What is your opinion – how important is it to accept the decisions about important social issues after they have been adopted by politicians and the authorities?
Technical description: [Asked if x_ran=1.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 245 11.7% 0.116722249
2 Important 1158 55.2% 0.551691282
3 Somewhat important 566 27% 0.269652215
4 Slightly important 82 3.9% 0.039066222
5 Not important at all 31 1.5% 0.014768938
97 No answer 17 0.8% 0.008099095
98 Not asked 4798 NA


r9pad2


Variable label: To what extent do people in Norway accept decisions about important social issues adopted by politicians/authorities
Literal question: To what extent do you think people in Norway are willing to accept the decisions about important social issues after they have been adopted by politicians and the authorities?
Technical description: [Asked if x_ran=1.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great extent 111 5.3% 0.052882325
2 To a great extent 1021 48.6% 0.486422106
3 Somewhat 786 37.4% 0.374464030
4 To a small extent 100 4.8% 0.047641734
5 Not at all 8 0.4% 0.003811339
97 No answer 73 3.5% 0.034778466
98 Not asked 4798 NA


r9pad3


Variable label: Do you accept decisions about important social issues adopted by politicians/authorities?
Literal question: What about you personally – do you live up to this standard (i.e., accept the decisions about important social issues after they have been adopted by politicians and the authorities)?
Technical description: [Asked if x_ran=1.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great extent 161 7.7% 0.07670319
2 To a great extent 1146 54.6% 0.54597427
3 Somewhat 650 31% 0.30967127
4 To a small extent 61 2.9% 0.02906146
5 Not at all 22 1% 0.01048118
97 No answer 59 2.8% 0.02810862
98 Not asked 4798 NA


r9disc_setting


Variable label: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses the setting of a discussion between the respondent and a hypothetical person. ]
Technical description: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses the setting of a discussion between the respondent and a hypothetical person. ]
Technical attributes: [Format:numeric] [Valid:2096] [Invalid:4801] [Range:0-3]

Value Label Cases Percentage
0 [blank] 547 26.1% 0.2609733
1 in a publicly accessible comment field signed with one’s full name online 550 26.2% 0.2624046
2 in a social gathering 462 22% 0.2204198
3 on a train trip 537 25.6% 0.2562023
Sysmiss 4801 NA


r9disc_aktor


Variable label: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses the relationship between the respondent and the hypothetical person. ]
Technical description: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses the relationship between the respondent and the hypothetical person. ]
Technical attributes: [Format:numeric] [Valid:2096] [Invalid:4801] [Range:0-2]

Value Label Cases Percentage
0 a person 675 32.2% 0.3220420
1 a total stranger 696 33.2% 0.3320611
2 someone you know well 725 34.6% 0.3458969
Sysmiss 4801 NA


r9disc_kjonn


Variable label: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses the gender of the hypothetical person. ]
Technical description: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses the gender of the hypothetical person. ]
Technical attributes: [Format:numeric] [Valid:2096] [Invalid:4801] [Range:0-1]

Value Label Cases Percentage
0 he 1051 50.1% 0.5014313
1 she 1045 49.9% 0.4985687
Sysmiss 4801 NA


r9disc_parti


Variable label: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses the party preferance of the hypothetical person. ]
Technical description: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses the party preferance of the hypothetical person. ]
Technical attributes: [Format:numeric] [Valid:2096] [Invalid:4801] [Range:0-9]

Value Label Cases Percentage
0 [Blank] 241 11.5% 0.11498092
1 vote for the Red Party in the parliamentary election in September. Subsequently, the person begins to 210 10% 0.10019084
2 vote for the Socialist Left Party in the parliamentary election in September. Subsequently, the person begins to 217 10.4% 0.10353053
3 vote for the Labour Party in the parliamentary election in September. Subsequently, the person begins to 209 10% 0.09971374
4 vote for the Centre Party in the parliamentary election in September. Subsequently, the person begins to 172 8.2% 0.08206107
5 vote for the Green Party in the parliamentary election in September. Subsequently, the person begins to 229 10.9% 0.10925573
6 vote for the Liberal Party in the parliamentary election in September. Subsequently, the person begins to 182 8.7% 0.08683206
7 vote for the Christian Democratic Party in the parliamentary election in September. Subsequently, the person begins to 193 9.2% 0.09208015
8 vote for the Conservative Party in the parliamentary election in September. Subsequently, the person begins to 210 10% 0.10019084
9 vote for the Progress Party in the parliamentary election in September. Subsequently, the person begins to 233 11.1% 0.11116412
Sysmiss 4801 NA


r9disc_uenighet


Variable label: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses the level of disagreement between the disussants.]
Technical description: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses the level of disagreement between the disussants.]
Technical attributes: [Format:numeric] [Valid:2096] [Invalid:4801] [Range:0-2]

Value Label Cases Percentage
0 disagree extremely with the person 722 34.4% 0.3444656
1 disagree with the person 681 32.5% 0.3249046
2 disagree somewhat with the person 693 33.1% 0.3306298
Sysmiss 4801 NA


r9disc_saker


Variable label: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses the topic of the discussion.]
Technical description: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses the topic of the discussion.]
Technical attributes: [Format:numeric] [Valid:2096] [Invalid:4801] [Range:0-3]

Value Label Cases Percentage
0 immigration policy 501 23.9% 0.2390267
1 climate policy 531 25.3% 0.2533397
2 taxation policy 520 24.8% 0.2480916
3 privatization of public services 544 26% 0.2595420
Sysmiss 4801 NA


r9disc_strategi_a


Variable label: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses 1/4 strategies that the respondent can select. ]
Technical description: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses 1/4 strategies that the respondent can select. ]
Technical attributes: [Format:numeric] [Valid:2096] [Invalid:4801] [Range:0-3]

Value Label Cases Percentage
0 I concede to the person’s opinion 520 24.8% 0.2480916
1 I say that I agree with the person 531 25.3% 0.2533397
2 I try to be accommodating 523 25% 0.2495229
3 I adapt to the other person’s opinion 522 24.9% 0.2490458
Sysmiss 4801 NA


r9disc_strategi_b


Variable label: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses 1/4 strategies that the respondent can select. ]
Technical description: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses 1/4 strategies that the respondent can select. ]
Technical attributes: [Format:numeric] [Valid:2096] [Invalid:4801] [Range:0-3]

Value Label Cases Percentage
0 I try to meet the other person halfway 513 24.5% 0.2447519
1 I put emphasis on reaching agreement 560 26.7% 0.2671756
2 I insist that both of us compromise a little 494 23.6% 0.2356870
3 I strive to reach a fifty-fifty compromise 529 25.2% 0.2523855
Sysmiss 4801 NA


r9disc_strategi_c


Variable label: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses 1/4 strategies that the respondent can select. ]
Technical description: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses 1/4 strategies that the respondent can select. ]
Technical attributes: [Format:numeric] [Valid:2096] [Invalid:4801] [Range:0-3]

Value Label Cases Percentage
0 I stress my opinion very strongly 511 24.4% 0.2437977
1 I look for counter-arguments that refute the person’s opinion 536 25.6% 0.2557252
2 I fight for my opinion 512 24.4% 0.2442748
3 I do everything I can to win the discussion with the person 537 25.6% 0.2562023
Sysmiss 4801 NA


r9disc_strategi_d


Variable label: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses 1/4 strategies that the respondent can select. ]
Technical description: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses 1/4 strategies that the respondent can select. ]
Technical attributes: [Format:numeric] [Valid:2096] [Invalid:4801] [Range:0-3]

Value Label Cases Percentage
0 I avoid confrontation linked to our differences 501 23.9% 0.2390267
1 I avoid differences of opinion to the greatest extent possible 545 26% 0.2600191
2 I try to make the differences seem less serious 550 26.2% 0.2624046
3 I try to avoid confronting the person 500 23.9% 0.2385496
Sysmiss 4801 NA


r9disc_strategi_aa


Variable label: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses 1/4 strategies that the respondent can select. ]
Technical description: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses 1/4 strategies that the respondent can select. ]
Technical attributes: [Format:numeric] [Valid:2096] [Invalid:4801] [Range:0-3]

Value Label Cases Percentage
0 I concede to the person’s opinion 558 26.6% 0.2662214
1 I say that I now agree with the person 525 25% 0.2504771
2 I try to be accommodating 504 24% 0.2404580
3 I adapt to the other person’s opinion 509 24.3% 0.2428435
Sysmiss 4801 NA


r9disc_strategi_bb


Variable label: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses 1/4 strategies that the respondent can select. ]
Technical description: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses 1/4 strategies that the respondent can select. ]
Technical attributes: [Format:numeric] [Valid:2096] [Invalid:4801] [Range:0-3]

Value Label Cases Percentage
0 I try to meet the other person halfway 535 25.5% 0.2552481
1 I put emphasis on reaching agreement 492 23.5% 0.2347328
2 I insist that both of us compromise a little 547 26.1% 0.2609733
3 I strive to reach a fifty-fifty compromise 522 24.9% 0.2490458
Sysmiss 4801 NA


r9disc_strategi_cc


Variable label: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses 1/4 strategies that the respondent can select. ]
Technical description: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses 1/4 strategies that the respondent can select. ]
Technical attributes: [Format:numeric] [Valid:2096] [Invalid:4801] [Range:0-3]

Value Label Cases Percentage
0 I stress my opinion very strongly 530 25.3% 0.2528626
1 I look for counter-arguments that refute the person’s opinion 517 24.7% 0.2466603
2 I stand up for my opinion 505 24.1% 0.2409351
3 I do everything I can to win the discussion with the person 544 26% 0.2595420
Sysmiss 4801 NA


r9disc_strategi_dd


Variable label: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses 1/4 strategies that the respondent can select. ]
Technical description: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses 1/4 strategies that the respondent can select. ]
Technical attributes: [Format:numeric] [Valid:2096] [Invalid:4801] [Range:0-3]

Value Label Cases Percentage
0 I avoid confrontation linked to our differences 536 25.6% 0.2557252
1 I avoid differences of opinion to the greatest extent possible 501 23.9% 0.2390267
2 I now try to make the differences seem less serious 535 25.5% 0.2552481
3 I try to avoid confronting the person 524 25% 0.2500000
Sysmiss 4801 NA


r9disc_pers_strategi


Variable label: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses the strategy of the hypothetical person. ]
Technical description: [Asked if x_ran=1. Background variable for conjoint experiment. Randomly chooses the strategy of the hypothetical person. ]
Technical attributes: [Format:numeric] [Valid:2096] [Invalid:4801] [Range:0-15]

Value Label Cases Percentage
0 to give in and concede to your opinion 127 6.1% 0.06059160
1 to agree with you 128 6.1% 0.06106870
2 to try to be accommodating 139 6.6% 0.06631679
3 to adapt to your opinion 157 7.5% 0.07490458
4 to try to meet halfway 130 6.2% 0.06202290
5 to place emphasis on coming to agreement 127 6.1% 0.06059160
6 to insist that both of you compromise a little 125 6% 0.05963740
7 to strive to reach a fifty-fifty compromise 120 5.7% 0.05725191
8 to insist that one’s own opinion is correct 129 6.2% 0.06154580
9 to try to find counter-arguments that refute your opinion 129 6.2% 0.06154580
10 to stand up for one’s opinion 145 6.9% 0.06917939
11 to do everything possible to win the discussion with you 135 6.4% 0.06440840
12 to avoid confrontation linked to our differences 130 6.2% 0.06202290
13 to avoid differences of opinion to the greatest extent possible 131 6.2% 0.06250000
14 to try to make the differences seem less serious 127 6.1% 0.06059160
15 to try to avoid confronting you 117 5.6% 0.05582061
Sysmiss 4801 NA


r9disc_1


Variable label: Discussion with hypothetical person, which reaction suits you the best
Pre-question text: We are interested in knowing more about how people discuss issues with others. Imagine that you will be having a discussion later today with [printout of the value of R9DISC_aktor] [printout of the value of R9DISC_setting]. In the course of the discussion, it turns out that [printout of the value of r9disc_kjonn] wants [printout of the value of r9disc_parti] to discuss [printout of the value of r9disc_saker] in an objective manner and that you are [printout of the value of r9disc_uenighet]. We have described four different ways of reacting below.
Literal question: It may be that none of these reactions suit you, but if you had to choose one, which reaction would you consider best?
Technical description: [Asked if x_ran=1. Conjoint experiment. The respondents are exposed to an vignette. The vignette varies along multiple dimensions. Please see background variables. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 [Printout of the value of r9disc_strategi_a] 211 10.1% 0.10052406
2 [Printout of the value of r9disc_strategi_b] 597 28.4% 0.28442115
3 [Printout of the value of r9disc_strategi_c] 784 37.4% 0.37351120
4 [Printout of the value of r9disc_strategi_d] 477 22.7% 0.22725107
97 No answer 30 1.4% 0.01429252
98 Not asked 4798 NA


r9disc_2


Variable label: The same hypothetical person is leaning towards a given strategy, which reaction would you choose
Pre-question text: Imagine that you now notice the same person is leaning towards [printout of the value of r9disc_pers_strategi].
Literal question: If you now had to choose to react in one of the four ways listed, which one would you choose?
Technical description: [Asked if x_ran=1. Conjoint experiment. The respondents are exposed to an vignette. The vignette varies along multiple dimensions. Please see background variables. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 [Printout of the value of r9disc_strategi_aa] 198 9.4% 0.09433063
2 [Printout of the value of r9disc_strategi_bb] 716 34.1% 0.34111482
3 [Printout of the value of r9disc_strategi_cc] 531 25.3% 0.25297761
4 [Printout of the value of r9disc_strategi_dd] 569 27.1% 0.27108147
97 No answer 85 4% 0.04049547
98 Not asked 4798 NA


r9disc_2_comment


Variable label: Comments relating to reaction [Data withheld for the sake of anonymity]
Literal question: You can write any comments you might have here
Technical description:

[Asked if x_ran=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:6897] [Invalid:0] [Range:-]



r9tvdeb1


Variable label: How important are TV debates for which political party you vote for
Pre-question text: During the election campaign for the parliamentary election, the party leaders for most of the Norwegian political parties will participate in debates broadcasted live on TV.
Literal question: How important are these TV debates for you in making up your mind about which political party you will vote for?
Technical description: [Asked if x_ran=1.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Very important 67 3.2% 0.031919962
2 Important 272 13% 0.129585517
3 Somewhat important 629 30% 0.299666508
4 Slightly important 705 33.6% 0.335874226
5 Not important at all 364 17.3% 0.173415912
6 I have never seen a TV debate 49 2.3% 0.023344450
97 No answer 13 0.6% 0.006193425
98 Not asked 4798 NA


r9tvdeb2


Variable label: Associations to televised election campaign debates [Data withheld for the sake of anonymity]
Literal question: What associations come to mind when you think about televised election campaign debates before the election?
Post-question: We are interested in your answers, irrespective of whether or not you have watched a TV debate before. Please write the first thing that comes into your mind. We want all types of answers; a couple of sentences would be good, or just a few words if that is better for you.
Technical description:

[Asked if x_ran=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:6897] [Invalid:0] [Range:-]



r9tvdeb3_1


Variable label: Statement, party leader debates: Important part of election campaign
Pre-question text: Below we have listed some statements about party leader debates on TV. Please put an X next to the descriptions with which you agree or that you think apply to you.
Literal question: The party leader debates are an important part of the election campaign
Technical description: [Asked if x_ran=1.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 The party leader debates are an important part of the election campaign 611 29.1% 0.291090996
97 No answer 11 0.5% 0.005240591
98 Not asked 4798 NA
0 1477 70.4% 0.703668414


r9tvdeb3_2


Variable label: Statement, party leader debates: Best described as politicians only fighting one another
Pre-question text: Below we have listed some statements about party leader debates on TV. Please put an X next to the descriptions with which you agree or that you think apply to you.
Literal question: The party leader debates can best be described as politicians only fighting with one another
Technical description: [Asked if x_ran=1.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 The party leader debates can best be described as politicians only fighting with one another 1208 57.6% 0.575512149
97 No answer 11 0.5% 0.005240591
98 Not asked 4798 NA
0 880 41.9% 0.419247261


r9tvdeb3_3


Variable label: Statement, party leader debates: Too strongly controlled by the journalists
Pre-question text: Below we have listed some statements about party leader debates on TV. Please put an X next to the descriptions with which you agree or that you think apply to you.
Literal question: Party leader debates are too strongly controlled by the journalists
Technical description: [Asked if x_ran=1.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Party leader debates are too strongly controlled by the journalists 393 18.7% 0.187232015
97 No answer 11 0.5% 0.005240591
98 Not asked 4798 NA
0 1695 80.8% 0.807527394


r9tvdeb3_4


Variable label: Statement, party leader debates: Difficult to keep up with politicians’ opinions
Pre-question text: Below we have listed some statements about party leader debates on TV. Please put an X next to the descriptions with which you agree or that you think apply to you.
Literal question: It is difficult to keep up with politicians’ opinions
Technical description: [Asked if x_ran=1.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 It is difficult to keep up with politicians’ opinions 434 20.7% 0.206765126
97 No answer 11 0.5% 0.005240591
98 Not asked 4798 NA
0 1654 78.8% 0.787994283


r9tvdeb3_5


Variable label: Statement, party leader debates: Not controlled enough by the journalists
Pre-question text: Below we have listed some statements about party leader debates on TV. Please put an X next to the descriptions with which you agree or that you think apply to you.
Literal question: Party leader debates are not controlled enough by the journalists
Technical description: [Asked if x_ran=1.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Party leader debates are not controlled enough by the journalists 143 6.8% 0.068127680
97 No answer 11 0.5% 0.005240591
98 Not asked 4798 NA
0 1945 92.7% 0.926631729


r9medtrust1


Variable label: What do you think it means 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 the first thing that comes into your mind. We want all types of answers; a couple of sentences would be good, or just a few words if that is better for you.
Technical description:

[Asked if x_ran=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:6897] [Invalid:0] [Range:-]



r9medtrust2_ran


Variable label: [Randomizes if x_ran=2.Randomly selects r9medtrust2a, r9medtrust2b, r9medtrust2c eller r9medtrust2d.]
Technical description: [Randomizes if x_ran=2.Randomly selects r9medtrust2a, r9medtrust2b, r9medtrust2c eller r9medtrust2d.]
Technical attributes: [Format:numeric] [Valid:2086] [Invalid:4811] [Range:1-4]

Value Label Cases Percentage
1 Choose r9medtrust2a. 544 26.1% 0.2607862
2 Choose r9medtrust2b. 529 25.4% 0.2535954
3 Choose r9medtrust2c. 494 23.7% 0.2368169
4 Choose r9medtrust2d. 519 24.9% 0.2488015
Sysmiss 4811 NA


r9medtrust2a


Variable label: Confidence in trustworthy information in articles pertaining to immigration from: VG.no
Pre-question text: People write regularly in the Norwegian news media, in blogs and on politicians’ Facebook pages about issues associated with immigration.
Literal question: How confident are you that you get trustworthy information from VG.no in articles pertaining to immigration?
Technical description: [Asked if x_ran=2 and r9medtrust2_ran=1.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 I have never heard of VG.no 28 5.1% 0.051470588
2 I have no confidence at all 23 4.2% 0.042279412
3 I have little confidence 130 23.9% 0.238970588
4 I have a moderate degree of confidence 285 52.4% 0.523897059
5 I have high confidence 68 12.5% 0.125000000
6 I have very high confidence 3 0.6% 0.005514706
97 No answer 7 1.3% 0.012867647
98 Not asked 6353 NA


r9medtrust2b


Variable label: Confidence in trustworthy information in articles pertaining to immigration from: Document.no
Pre-question text: People write regularly in the Norwegian news media, in blogs and on politicians’ Facebook pages about issues associated with immigration.
Literal question: How confident are you that you get trustworthy information from Document.no in articles pertaining to immigration?
Technical description: [Asked if x_ran=2 and r9medtrust2_ran=2.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 I have never heard of Document.no 285 53.9% 0.538752363
2 I have no confidence at all 67 12.7% 0.126654064
3 I have little confidence 82 15.5% 0.155009452
4 I have a moderate degree of confidence 72 13.6% 0.136105860
5 I have high confidence 11 2.1% 0.020793951
6 I have very high confidence 3 0.6% 0.005671078
97 No answer 9 1.7% 0.017013233
98 Not asked 6368 NA


r9medtrust2c


Variable label: Confidence in trustworthy information in articles pertaining to immigration from: Sylvi Listhaug’s Facebook page
Pre-question text: People write regularly in the Norwegian news media, in blogs and on politicians’ Facebook pages about issues associated with immigration.
Literal question: How confident are you that you get trustworthy information from Sylvi Listhaug’s Facebook page pertaining to immigration?
Technical description: [Asked if x_ran=2 and r9medtrust2_ran=3.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 I have never heard of Sylvi Listhaug’s Facebook page 132 26.7% 0.26720648
2 I have no confidence at all 129 26.1% 0.26113360
3 I have little confidence 97 19.6% 0.19635628
4 I have a moderate degree of confidence 77 15.6% 0.15587045
5 I have high confidence 39 7.9% 0.07894737
6 I have very high confidence 14 2.8% 0.02834008
97 No answer 6 1.2% 0.01214575
98 Not asked 6403 NA


r9medtrust2d


Variable label: Confidence in trustworthy information in articles pertaining to immigration from: Nrk.no
Pre-question text: People write regularly in the Norwegian news media, in blogs and on politicians’ Facebook pages about issues associated with immigration.
Literal question: How confident are you that you get trustworthy information from Nrk.no in articles pertaining to immigration?
Technical description: [Asked if x_ran=2 and r9medtrust2_ran=4.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 I have never heard of Nrk.no 10 1.9% 0.019267823
2 I have no confidence at all 11 2.1% 0.021194605
3 I have little confidence 52 10% 0.100192678
4 I have a moderate degree of confidence 195 37.6% 0.375722543
5 I have high confidence 221 42.6% 0.425818882
6 I have very high confidence 25 4.8% 0.048169557
97 No answer 5 1% 0.009633911
98 Not asked 6378 NA


r9fake1


Variable label: Agree/disagree: Political discussions cannot speak about facts, everyone fights for the truth as they know it
Pre-question text: Much attention has been given to so-called “fake news” during the past year. To what extent do you agree or disagree that…
Literal question: In political discussions, one cannot speak about facts. There are differences of opinion and everyone fights for the truth as they know it.
Technical description: [Asked if x_ran=2.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 104 5% 0.04971319
2 Agree 440 21% 0.21032505
3 Agree somewhat 549 26.2% 0.26242830
4 Neither agree nor disagree 234 11.2% 0.11185468
5 Disagree somewhat 169 8.1% 0.08078394
6 Disagree 355 17% 0.16969407
7 Strongly disagree 179 8.6% 0.08556405
97 No answer 62 3% 0.02963671
98 Not asked 4805 NA


r9fake2


Variable label: Agree/disagree: Most Norwegian newspapers/TV channels have never been neutral
Pre-question text: Much attention has been given to so-called “fake news” during the past year. To what extent do you agree or disagree that…
Literal question: Most Norwegian newspapers and TV channels are not now and have never been neutral.
Technical description: [Asked if x_ran=2.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 149 7.1% 0.071223709
2 Agree 407 19.5% 0.194550669
3 Agree somewhat 725 34.7% 0.346558317
4 Neither agree nor disagree 306 14.6% 0.146271511
5 Disagree somewhat 264 12.6% 0.126195029
6 Disagree 190 9.1% 0.090822180
7 Strongly disagree 16 0.8% 0.007648184
97 No answer 35 1.7% 0.016730402
98 Not asked 4805 NA


r9fake2_comment


Variable label: Comments relating to neutrality in Norwegian media [Data withheld for the sake of anonymity]
Literal question: You can write any comments you might have here:
Technical description:

[Asked if x_ran=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:6897] [Invalid:0] [Range:-]



r9fake3


Variable label: More trustworthy: Social or traditional media
Pre-question text: Much attention has been given to so-called “fake news” during the past year.
Literal question: Would you say that you get more trustworthy information from social media (for example Facebook and Twitter) or from the traditional media (for example NRK, TV2 and VG)?
Technical description: [Asked if x_ran=2.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Social media provide me with very much more trustworthy information than do the traditional media 24 1.1% 0.01147228
2 Social media provide me with more trustworthy information than do the traditional media 77 3.7% 0.03680688
3 Both are equally trustworthy 287 13.7% 0.13718929
4 Traditional media provide me with more trustworthy information than do the social media 1062 50.8% 0.50764818
5 Traditional media provide me with very much more trustworthy information than do the social media 578 27.6% 0.27629063
97 No answer 64 3.1% 0.03059273
98 Not asked 4805 NA


r9selexp3_valgteoverskrifter_0


Variable label: [Asked if x_ran=2. Conjoint experiment. One of four randomly chosen headlines that the respondent can select. The headlines are chosen from a predefind list. Please contact Erik Knudsen and Mikael Johannesson (UiB) for questions. ]
Technical description: [Asked if x_ran=2. Conjoint experiment. One of four randomly chosen headlines that the respondent can select. The headlines are chosen from a predefind list. Please contact Erik Knudsen and Mikael Johannesson (UiB) for questions. ]
Technical attributes: [Format:numeric] [Valid:2075] [Invalid:4822] [Range:1-756]



r9selexp3_valgteoverskrifter_1


Variable label: [Asked if x_ran=2. Conjoint experiment. One of four randomly chosen headlines that the respondent can select. The headlines are chosen from a predefind list. Please contact Erik Knudsen and Mikael Johannesson (UiB) for questions. ]
Technical description: [Asked if x_ran=2. Conjoint experiment. One of four randomly chosen headlines that the respondent can select. The headlines are chosen from a predefind list. Please contact Erik Knudsen and Mikael Johannesson (UiB) for questions. ]
Technical attributes: [Format:numeric] [Valid:2075] [Invalid:4822] [Range:1-756]



r9selexp3_valgteoverskrifter_2


Variable label: [Asked if x_ran=2. Conjoint experiment. One of four randomly chosen headlines that the respondent can select. The headlines are chosen from a predefind list. Please contact Erik Knudsen and Mikael Johannesson (UiB) for questions. ]
Technical description: [Asked if x_ran=2. Conjoint experiment. One of four randomly chosen headlines that the respondent can select. The headlines are chosen from a predefind list. Please contact Erik Knudsen and Mikael Johannesson (UiB) for questions. ]
Technical attributes: [Format:numeric] [Valid:2075] [Invalid:4822] [Range:1-756]



r9selexp3_valgteoverskrifter_3


Variable label: [Asked if x_ran=2. Conjoint experiment. One of four randomly chosen headlines that the respondent can select. The headlines are chosen from a predefind list. Please contact Erik Knudsen and Mikael Johannesson (UiB) for questions. ]
Technical description: [Asked if x_ran=2. Conjoint experiment. One of four randomly chosen headlines that the respondent can select. The headlines are chosen from a predefind list. Please contact Erik Knudsen and Mikael Johannesson (UiB) for questions. ]
Technical attributes: [Format:numeric] [Valid:2075] [Invalid:4822] [Range:1-756]



r9selexp3_valgtekilder_0


Variable label: [Asked if x_ran=2. Conjoint experiment. One of four randomly chosen headline sources. Please contact Erik Knudsen and Mikael Johannesson (UiB) for questions. ]
Technical description: [Asked if x_ran=2. Conjoint experiment. One of four randomly chosen headline sources. Please contact Erik Knudsen and Mikael Johannesson (UiB) for questions. ]
Technical attributes: [Format:numeric] [Valid:2075] [Invalid:4822] [Range:0-4]

Value Label Cases Percentage
0 NRK 421 20.3% 0.2028916
1 TV2 426 20.5% 0.2053012
2 Aftenposten 382 18.4% 0.1840964
3 Dagens Næringsliv 432 20.8% 0.2081928
4 Klassekampen 414 20% 0.1995181
Sysmiss 4822 NA


r9selexp3_valgtekilder_1


Variable label: [Asked if x_ran=2. Conjoint experiment. One of four randomly chosen headline sources. Please contact Erik Knudsen and Mikael Johannesson (UiB) for questions. ]
Technical description: [Asked if x_ran=2. Conjoint experiment. One of four randomly chosen headline sources. Please contact Erik Knudsen and Mikael Johannesson (UiB) for questions. ]
Technical attributes: [Format:numeric] [Valid:2075] [Invalid:4822] [Range:0-4]

Value Label Cases Percentage
0 NRK 425 20.5% 0.2048193
1 TV2 395 19% 0.1903614
2 Aftenposten 457 22% 0.2202410
3 Dagens Næringsliv 384 18.5% 0.1850602
4 Klassekampen 414 20% 0.1995181
Sysmiss 4822 NA


r9selexp3_valgtekilder_2


Variable label: [Asked if x_ran=2. Conjoint experiment. One of four randomly chosen headline sources. Please contact Erik Knudsen and Mikael Johannesson (UiB) for questions. ]
Technical description: [Asked if x_ran=2. Conjoint experiment. One of four randomly chosen headline sources. Please contact Erik Knudsen and Mikael Johannesson (UiB) for questions. ]
Technical attributes: [Format:numeric] [Valid:2075] [Invalid:4822] [Range:0-4]

Value Label Cases Percentage
0 NRK 420 20.2% 0.2024096
1 TV2 411 19.8% 0.1980723
2 Aftenposten 446 21.5% 0.2149398
3 Dagens Næringsliv 381 18.4% 0.1836145
4 Klassekampen 417 20.1% 0.2009639
Sysmiss 4822 NA


r9selexp3_valgtekilder_3


Variable label: [Asked if x_ran=2. Conjoint experiment. One of four randomly chosen headline sources. Please contact Erik Knudsen and Mikael Johannesson (UiB) for questions. ]
Technical description: [Asked if x_ran=2. Conjoint experiment. One of four randomly chosen headline sources. Please contact Erik Knudsen and Mikael Johannesson (UiB) for questions. ]
Technical attributes: [Format:numeric] [Valid:2075] [Invalid:4822] [Range:0-4]

Value Label Cases Percentage
0 NRK 396 19.1% 0.1908434
1 TV2 394 19% 0.1898795
2 Aftenposten 425 20.5% 0.2048193
3 Dagens Næringsliv 422 20.3% 0.2033735
4 Klassekampen 438 21.1% 0.2110843
Sysmiss 4822 NA


r9selexp3_1


Variable label: Which two online articles would you spend your time reading?
Pre-question text: Our aim is to study people’s routines pertaining to the media. Below are some fictional articles we have made up to resemble articles one might find in Norwegian online newspapers. Please read all the headings carefully and pretend that the articles are authentic.
Literal question: It is possible that you would not read any of these articles on an ordinary day, but let’s say that you had to read two of these articles. Which articles would you prefer to spend your time reading?
Technical description: [Asked if x_ran=2. Conjoint experiment. The respondents are exposed to four randomly chosen headlines from the news. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 [Printout of the value of r9selexp3_valgtekilder_0 og r9selexp3_valgteoverskrifter_0] 1036 49.5% 0.49521989
97 No answer 21 1% 0.01003824
98 Not asked 4805 NA
0 1035 49.5% 0.49474187


r9selexp3_2


Variable label: Which two online articles would you spend your time reading?
Pre-question text: Our aim is to study people’s routines pertaining to the media. Below are some fictional articles we have made up to resemble articles one might find in Norwegian online newspapers. Please read all the headings carefully and pretend that the articles are authentic.
Literal question: It is possible that you would not read any of these articles on an ordinary day, but let’s say that you had to read two of these articles. Which articles would you prefer to spend your time reading?
Technical description: [Asked if x_ran=2. Conjoint experiment. The respondents are exposed to four randomly chosen headlines from the news. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 [Printout of the value of r9selexp3_valgtekilder_1 og r9selexp3_valgteoverskrifter_1] 995 47.6% 0.47562141
97 No answer 21 1% 0.01003824
98 Not asked 4805 NA
0 1076 51.4% 0.51434034


r9selexp3_3


Variable label: Which two online articles would you spend your time reading?
Pre-question text: Our aim is to study people’s routines pertaining to the media. Below are some fictional articles we have made up to resemble articles one might find in Norwegian online newspapers. Please read all the headings carefully and pretend that the articles are authentic.
Literal question: It is possible that you would not read any of these articles on an ordinary day, but let’s say that you had to read two of these articles. Which articles would you prefer to spend your time reading?
Technical description: [Asked if x_ran=2. Conjoint experiment. The respondents are exposed to four randomly chosen headlines from the news. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 [Printout of the value of r9selexp3_valgtekilder_2 og r9selexp3_valgteoverskrifter_2] 994 47.5% 0.47514340
97 No answer 21 1% 0.01003824
98 Not asked 4805 NA
0 1077 51.5% 0.51481836


r9selexp3_4


Variable label: Which two online articles would you spend your time reading?
Pre-question text: Our aim is to study people’s routines pertaining to the media. Below are some fictional articles we have made up to resemble articles one might find in Norwegian online newspapers. Please read all the headings carefully and pretend that the articles are authentic.
Literal question: It is possible that you would not read any of these articles on an ordinary day, but let’s say that you had to read two of these articles. Which articles would you prefer to spend your time reading?
Technical description: [Asked if x_ran=2. Conjoint experiment. The respondents are exposed to four randomly chosen headlines from the news. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 [Printout of the value of r9selexp3_valgtekilder_3 og r9selexp3_valgteoverskrifter_3] 991 47.4% 0.47370937
97 No answer 21 1% 0.01003824
98 Not asked 4805 NA
0 1080 51.6% 0.51625239


r9selexp1_overskrift_sak1


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses a headline for news item 1.]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses a headline for news item 1.]
Technical attributes: [Format:numeric] [Valid:2070] [Invalid:4827] [Range:1-756]



r9selexp1_overskrift_sak2


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses a headline for news item 2.]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses a headline for news item 2.]
Technical attributes: [Format:numeric] [Valid:2070] [Invalid:4827] [Range:1-756]



r9selexp1_plassering_sak1


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the placement of the news item 1 on the front page. ]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the placement of the news item 1 on the front page. ]
Technical attributes: [Format:numeric] [Valid:2070] [Invalid:4827] [Range:0-3]

Value Label Cases Percentage
0 Very prominently visible on the front page 507 24.5% 0.2449275
1 Somewhat prominent on the front page 509 24.6% 0.2458937
2 Not very prominent on the front page 498 24.1% 0.2405797
3 The news item is not published on the front page 556 26.9% 0.2685990
Sysmiss 4827 NA


r9selexp1_plassering_sak2


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the placement of the news item 2 on the front page. ]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the placement of the news item 2 on the front page. ]
Technical attributes: [Format:numeric] [Valid:2070] [Invalid:4827] [Range:0-3]

Value Label Cases Percentage
0 Very prominently visible on the front page 520 25.1% 0.2512077
1 Somewhat prominent on the front page 504 24.3% 0.2434783
2 Not very prominent on the front page 520 25.1% 0.2512077
3 The news item is not published on the front page 526 25.4% 0.2541063
Sysmiss 4827 NA


r9selexp1_lesere_sak1


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the level of popularity of news item 1. ]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the level of popularity of news item 1. ]
Technical attributes: [Format:numeric] [Valid:2070] [Invalid:4827] [Range:0-1]

Value Label Cases Percentage
0 On the list of the most read articles this week 1022 49.4% 0.4937198
1 Not on the list of the most read articles this week 1048 50.6% 0.5062802
Sysmiss 4827 NA


r9selexp1_lesere_sak2


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the level of popularity of news item 2. ]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the level of popularity of news item 2. ]
Technical attributes: [Format:numeric] [Valid:2070] [Invalid:4827] [Range:0-1]

Value Label Cases Percentage
0 On the list of the most read articles this week 1011 48.8% 0.4884058
1 Not on the list of the most read articles this week 1059 51.2% 0.5115942
Sysmiss 4827 NA


r9selexp1_anbefal_sak1


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the social media recommendations of news item 1. ]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the social media recommendations of news item 1. ]
Technical attributes: [Format:numeric] [Valid:2070] [Invalid:4827] [Range:0-2]

Value Label Cases Percentage
0 Very many recommendations 694 33.5% 0.3352657
1 Some recommendations 703 34% 0.3396135
2 No recommendations at all 673 32.5% 0.3251208
Sysmiss 4827 NA


r9selexp1_anbefal_sak2


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the social media recommendations of news item 2. ]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the social media recommendations of news item 2. ]
Technical attributes: [Format:numeric] [Valid:2070] [Invalid:4827] [Range:0-2]

Value Label Cases Percentage
0 Very many recommendations 696 33.6% 0.3362319
1 Some recommendations 673 32.5% 0.3251208
2 No recommendations at all 701 33.9% 0.3386473
Sysmiss 4827 NA


r9selexp1_kilde_sak1


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the source of news item 1. ]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the source of news item 1. ]
Technical attributes: [Format:numeric] [Valid:2070] [Invalid:4827] [Range:0-4]

Value Label Cases Percentage
0 NRK 417 20.1% 0.2014493
1 TV2 374 18.1% 0.1806763
2 Aftenposten 405 19.6% 0.1956522
3 Dagens Næringsliv 415 20% 0.2004831
4 Klassekampen 459 22.2% 0.2217391
Sysmiss 4827 NA


r9selexp1_kilde_sak2


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the source of news item 2. ]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the source of news item 2. ]
Technical attributes: [Format:numeric] [Valid:2070] [Invalid:4827] [Range:0-4]

Value Label Cases Percentage
0 NRK 388 18.7% 0.1874396
1 TV2 441 21.3% 0.2130435
2 Aftenposten 400 19.3% 0.1932367
3 Dagens Næringsliv 429 20.7% 0.2072464
4 Klassekampen 412 19.9% 0.1990338
Sysmiss 4827 NA


r9selexp1


Variable label: Two hypothetical news items, which one would you read?
Pre-question text:

Below we have provided information about the two different news items we made up. Please read the descriptions of both news items carefully and answer the questions below.

[Printout of the value of r9selexp1_overskrift_sak1, r9selexp1_overskrift_sak2, r9selexp1_plassering_sak1, r9selexp1_plassering_sak2, r9selexp1_lesere_sak1, r9selexp1_lesere_sak2, r9selexp1_anbefal_sak1, r9selexp1_anbefal_sak2, r9selexp1_kilde_sak1, r9selexp1_kilde_sak2]
Literal question: It is possible that you would read any of these articles on an ordinary day, but if you had to choose one of the two articles to read based on the information in the table above, which article would you choose?
Technical description: [Asked if x_ran=2. Conjoint experiment. Respondent is exposed to a description of two news items. The description contains 5 randomly chosen characteristics from predefined lists. The characteristics are orderer in a randomly fashion.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 News item 1 1063 50.8% 0.50812620
2 News item 2 932 44.6% 0.44550669
97 No answer 97 4.6% 0.04636711
98 Not asked 4805 NA


r9selexp2_ran


Variable label: [Randomizes if x_ran=2. Randomly selects r9selexp2_1 or r9selexp2_2.]
Technical description: [Randomizes if x_ran=2. Randomly selects r9selexp2_1 or r9selexp2_2.]
Technical attributes: [Format:numeric] [Valid:2064] [Invalid:4833] [Range:1-2]

Value Label Cases Percentage
1 Choose r9selexp2_1 1028 49.8% 0.498062
2 Choose r9selexp2_2 1036 50.2% 0.501938
Sysmiss 4833 NA


r9selexp2_kjonn_person1


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the gender of person 1.]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the gender of person 1.]
Technical attributes: [Format:numeric] [Valid:2064] [Invalid:4833] [Range:0-1]

Value Label Cases Percentage
0 Male 1070 51.8% 0.5184109
1 Female 994 48.2% 0.4815891
Sysmiss 4833 NA


r9selexp2_kjonn_person2


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the gender of person 2.]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the gender of person 2.]
Technical attributes: [Format:numeric] [Valid:2064] [Invalid:4833] [Range:0-1]

Value Label Cases Percentage
0 Male 1053 51% 0.5101744
1 Female 1011 49% 0.4898256
Sysmiss 4833 NA


r9selexp2_sprak_person1


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the norwegian language abilities of person 1.]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the norwegian language abilities of person 1.]
Technical attributes: [Format:numeric] [Valid:2064] [Invalid:4833] [Range:0-1]

Value Label Cases Percentage
0 Does not write Norwegian well 1048 50.8% 0.5077519
1 Writes Norwegian well 1016 49.2% 0.4922481
Sysmiss 4833 NA


r9selexp2_sprak_person2


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the norwegian language abilities of person 2.]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the norwegian language abilities of person 2.]
Technical attributes: [Format:numeric] [Valid:2064] [Invalid:4833] [Range:0-1]

Value Label Cases Percentage
0 Does not write Norwegian well 1064 51.6% 0.5155039
1 Writes Norwegian well 1000 48.4% 0.4844961
Sysmiss 4833 NA


r9selexp2_kunnskap_person1


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the level of knowledge on a particular subject of person 1.]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the level of knowledge on a particular subject of person 1.]
Technical attributes: [Format:numeric] [Valid:2064] [Invalid:4833] [Range:0-1]

Value Label Cases Percentage
0 Little knowledge 1019 49.4% 0.4937016
1 A lot of knowledge 1045 50.6% 0.5062984
Sysmiss 4833 NA


r9selexp2_kunnskap_person2


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the level of knowledge on a particular subject of person 2.]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the level of knowledge on a particular subject of person 2.]
Technical attributes: [Format:numeric] [Valid:2064] [Invalid:4833] [Range:0-1]

Value Label Cases Percentage
0 Little knowledge 1039 50.3% 0.5033915
1 A lot of knowledge 1025 49.7% 0.4966085
Sysmiss 4833 NA


r9selexp2_popularitet_person1


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the popularity of the news item shared by person 1.]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the popularity of the news item shared by person 1.]
Technical attributes: [Format:numeric] [Valid:2064] [Invalid:4833] [Range:0-1]

Value Label Cases Percentage
0 Few people share posts 1009 48.9% 0.4888566
1 Many people share posts 1055 51.1% 0.5111434
Sysmiss 4833 NA


r9selexp2_popularitet_person2


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the popularity of the news item shared by person 2.]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the popularity of the news item shared by person 2.]
Technical attributes: [Format:numeric] [Valid:2064] [Invalid:4833] [Range:0-1]

Value Label Cases Percentage
0 Few people share posts 998 48.4% 0.4835271
1 Many people share posts 1066 51.6% 0.5164729
Sysmiss 4833 NA


r9selexp2_vennskap_person1


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the relationship between the respondent and person 1.]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the relationship between the respondent and person 1.]
Technical attributes: [Format:numeric] [Valid:2064] [Invalid:4833] [Range:0-2]

Value Label Cases Percentage
0 You are close friends 712 34.5% 0.3449612
1 You are only acquaintances, but you have mutual friends 664 32.2% 0.3217054
2 You are only acquaintances (through work or school) 688 33.3% 0.3333333
Sysmiss 4833 NA


r9selexp2_vennskap_person2


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the relationship between the respondent and person 2.]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the relationship between the respondent and person 2.]
Technical attributes: [Format:numeric] [Valid:2064] [Invalid:4833] [Range:0-2]

Value Label Cases Percentage
0 You are close friends 694 33.6% 0.3362403
1 You are only acquaintances, but you have mutual friends 711 34.4% 0.3444767
2 You are only acquaintances (through work or school) 659 31.9% 0.3192829
Sysmiss 4833 NA


r9selexp2_enighet_person1


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the level of agreement political matters between the respondent and person 1.]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the level of agreement political matters between the respondent and person 1.]
Technical attributes: [Format:numeric] [Valid:2064] [Invalid:4833] [Range:0-2]

Value Label Cases Percentage
0 For the most part, you agree on political items 668 32.4% 0.3236434
1 For the most part, you disagree on political items 658 31.9% 0.3187984
2 To about the same extent, you agree and disagree on political items 738 35.8% 0.3575581
Sysmiss 4833 NA


r9selexp2_enighet_person2


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the level of agreement political matters between the respondent and person 2.]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the level of agreement political matters between the respondent and person 2.]
Technical attributes: [Format:numeric] [Valid:2064] [Invalid:4833] [Range:0-2]

Value Label Cases Percentage
0 For the most part, you agree on political items 685 33.2% 0.3318798
1 For the most part, you disagree on political items 708 34.3% 0.3430233
2 To about the same extent, you agree and disagree on political items 671 32.5% 0.3250969
Sysmiss 4833 NA


r9selexp2_diskuterer_person1


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses how frequent person 1 discusses or writes about politics. ]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses how frequent person 1 discusses or writes about politics. ]
Technical attributes: [Format:numeric] [Valid:2064] [Invalid:4833] [Range:0-2]

Value Label Cases Percentage
0 Often 676 32.8% 0.3275194
1 Sometimes 722 35% 0.3498062
2 Rarely or never 666 32.3% 0.3226744
Sysmiss 4833 NA


r9selexp2_diskuterer_person2


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses how frequent person 1 discusses or writes about politics. ]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses how frequent person 1 discusses or writes about politics. ]
Technical attributes: [Format:numeric] [Valid:2064] [Invalid:4833] [Range:0-2]

Value Label Cases Percentage
0 Often 682 33% 0.3304264
1 Sometimes 666 32.3% 0.3226744
2 Rarely or never 716 34.7% 0.3468992
Sysmiss 4833 NA


r9selexp2_omtale_person1


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses how person 1 describes the news item. ]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses how person 1 describes the news item. ]
Technical attributes: [Format:numeric] [Valid:2064] [Invalid:4833] [Range:0-3]

Value Label Cases Percentage
0 I could not have agreed more with this article! 524 25.4% 0.2538760
1 I could not have disagreed more with this article! 531 25.7% 0.2572674
2 This has to be the worst article I have ever read! 523 25.3% 0.2533915
3 This has to be the best article I have ever read! 486 23.5% 0.2354651
Sysmiss 4833 NA


r9selexp2_omtale_person2


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses how person 2 describes the news item. ]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses how person 2 describes the news item. ]
Technical attributes: [Format:numeric] [Valid:2064] [Invalid:4833] [Range:0-3]

Value Label Cases Percentage
0 I could not have agreed more with this article! 512 24.8% 0.2480620
1 I could not have disagreed more with this article! 548 26.6% 0.2655039
2 This has to be the worst article I have ever read! 534 25.9% 0.2587209
3 This has to be the best article I have ever read! 470 22.8% 0.2277132
Sysmiss 4833 NA


r9selexp2_overskrift_person1


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses a headline for the news item person 1 shared. ]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses a headline for the news item person 1 shared. ]
Technical attributes: [Format:numeric] [Valid:2064] [Invalid:4833] [Range:1-756]



r9selexp2_overskrift_person2


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses a headline for the news item person 2 shared. ]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses a headline for the news item person 2 shared. ]
Technical attributes: [Format:numeric] [Valid:2064] [Invalid:4833] [Range:1-756]



r9selexp2_kilde_person1


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the source of the news item that person 1 shared. ]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the source of the news item that person 1 shared. ]
Technical attributes: [Format:numeric] [Valid:2064] [Invalid:4833] [Range:0-4]

Value Label Cases Percentage
0 NRK 441 21.4% 0.2136628
1 TV2 382 18.5% 0.1850775
2 Aftenposten 422 20.4% 0.2044574
3 Dagens Næringsliv 404 19.6% 0.1957364
4 Klassekampen 415 20.1% 0.2010659
Sysmiss 4833 NA


r9selexp2_kilde_person2


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the source of the news item that person 2 shared. ]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the source of the news item that person 2 shared. ]
Technical attributes: [Format:numeric] [Valid:2064] [Invalid:4833] [Range:0-4]

Value Label Cases Percentage
0 NRK 428 20.7% 0.2073643
1 TV2 433 21% 0.2097868
2 Aftenposten 366 17.7% 0.1773256
3 Dagens Næringsliv 396 19.2% 0.1918605
4 Klassekampen 441 21.4% 0.2136628
Sysmiss 4833 NA


r9selexp2_sporsmal_0


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the question text order.]
Pre-question text: [Indicates which version of the question that was asked first. The version containing the value ‘0’ is asked first. Must be seen in conjunction with r9selexp2_sporsmal_1]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the question text exposed to the respondent. ]
Technical attributes: [Format:numeric] [Valid:2064] [Invalid:4833] [Range:0-1]

Value Label Cases Percentage
0 First: Let’s say that you had to read one of the two shared news items. If you didn't have more information than the above, which person would you choose to get news from? 1050 50.9% 0.5087209
1 Second: Let's say you were forced to recommend one of the two news items shared by these two, in a way that everyone else you are in contact with via social media can see that you are sharing these posts. If you didn't have more information than the [..] 1014 49.1% 0.4912791
Sysmiss 4833 NA


r9selexp2_sporsmal_1


Variable label: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the question text order ]
Pre-question text: [Indicates which version of the question that was asked first. The version containing the value ‘0’ is asked first. Must be seen in conjunction with r9selexp2_sporsmal_0]
Technical description: [Asked if x_ran=2. Background variable for conjoint experiment. Randomly chooses the question text exposed to the respondent. ]
Technical attributes: [Format:numeric] [Valid:2064] [Invalid:4833] [Range:0-1]

Value Label Cases Percentage
0 First: Let's say you were forced to recommend one of the two news items shared by these two, in a way that everyone else you are in contact with via social media can see that you are sharing these posts. If you didn't have more information than the [..] 1014 49.1% 0.4912791
1 Second: Let’s say that you had to read one of the two shared news items. If you didn't have more information than the above, which person would you choose to get news from? 1050 50.9% 0.5087209
Sysmiss 4833 NA


r9selexp2_1a


Variable label: Description of two news items and the people who shared them. Excluded r9selexp2_omtale.
Pre-question text:

We have described below two news items and the persons who have shared them. Not everyone uses social media, but think of the two people we have described as persons of your own age with whom you have contact through the social media. Please read the description carefully and answer the questions below.

[Printout of the value of the following variables, in radomized order:
r9selexp2_kjonn_person1, r9selexp2_kjonn_person2, r9selexp2_sprak_person1, r9selexp2_sprak_person2, r9selexp2_kunnskap_person1, r9selexp_kunnskap_person2, r9selexp2_popularitet_person1, r9selexp2_popularitet_person2, r9selexp2_vennskap_person1, r9selexp2_vennskap_person2, r9selexp2_enighet_person1, r9selexp2_enighet_person2, r9selexp2_diskuterer_person1, r9selexp2_diskuterer_person2, r9selexp2_overskrift_person1, r9selexp2_overskrift_person2, r9selexp2_kilde_person1, r9selexp2_kilde_person2]
Literal question: [First question. R9SELEXP2_sporsmal_0 or R9SELEXP2_sporsmal_1. See instructions of R9SELEXP2_sporsmal]
Technical description: [Asked if x_ran=2 and r9selexp2_ran=1.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Person and case 1 528 51.4% 0.51361868
2 Person and case 2 426 41.4% 0.41439689
97 No answer 74 7.2% 0.07198444
98 Not asked 5869 NA


r9selexp2_1b


Variable label: Description of two news items and the people who shared them. Excluded r9selexp2_omtale.
Pre-question text:

We have described below two news items and the persons who have shared them. Not everyone uses social media, but think of the two people we have described as persons of your own age with whom you have contact through the social media. Please read the description carefully and answer the questions below.

[Printout of the value of the following variables, in radomized order:
r9selexp2_kjonn_person1, r9selexp2_kjonn_person2, r9selexp2_sprak_person1, r9selexp2_sprak_person2, r9selexp2_kunnskap_person1 , r9selexp_kunnskap_person2, r9selexp2_popularitet_person1, r9selexp2_popularitet_person2, r9selexp2_vennskap_person1, r9selexp2_vennskap_person2, r9selexp2_enighet_person1, r9selexp2_enighet_person2, r9selexp2_diskuterer_person1, r9selexp2_diskuterer_person2, r9selexp2_overskrift_person1, r9selexp2_overskrift_person2, r9selexp2_kilde_person1, r9selexp2_kilde_person2]
Literal question: [Second question. R9SELEXP2_sporsmal_0 or R9SELEXP2_sporsmal_1. See instructions of R9SELEXP2_sporsmal]
Technical description: [Asked if x_ran=2 and r9selexp2_ran=1.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Person and case 1 509 49.5% 0.49513619
2 Person and case 2 430 41.8% 0.41828794
97 No answer 89 8.7% 0.08657588
98 Not asked 5869 NA


r9selexp2_2a


Variable label: Description of two news items and the people who shared them. Included r9selexp2_omtale.
Pre-question text:

We have described below two news items and the persons who have shared them. Not everyone uses social media, but think of the two people we have described as persons of your own age with whom you have contact through the social media. Please read the description carefully and answer the questions below.

[Printout of the value of the following variables, in radomized order:
r9selexp2_kjonn_person1, r9selexp2_kjonn_person2, r9selexp2_sprak_person1, r9selexp2_sprak_person2, r9selexp2_kunnskap_person1 , r9selexp_kunnskap_person2, r9selexp2_popularitet_person1, r9selexp2_popularitet_person2, r9selexp2_vennskap_person1, r9selexp2_vennskap_person2, r9selexp2_enighet_person1, r9selexp2_enighet_person2, r9selexp2_diskuterer_person1, r9selexp2_diskuterer_person2, r9selexp2_omtale_person1, r9selexp2_omtale_person2, r9selexp2_overskrift_person1, r9selexp2_overskrift_person2, r9selexp2_kilde_person1, r9selexp2_kilde_person2]
Literal question: [First question. R9SELEXP2_sporsmal_0 or R9SELEXP2_sporsmal_1. See instructions of R9SELEXP2_sporsmal]
Technical description: [Asked if x_ran=2 and r9selexp2_ran=2.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Person and case 1 496 47.9% 0.47876448
2 Person and case 2 458 44.2% 0.44208494
97 No answer 82 7.9% 0.07915058
98 Not asked 5861 NA


r9selexp2_2b


Variable label: Description of two news items and the people who shared them. Included r9selexp2_omtale.
Pre-question text:

We have described below two news items and the persons who have shared them. Not everyone uses social media, but think of the two people we have described as persons of your own age with whom you have contact through the social media. Please read the description carefully and answer the questions below.

[Printout of the value of the following variables, in radomized order:
r9selexp2_kjonn_person1, r9selexp2_kjonn_person2, r9selexp2_sprak_person1, r9selexp2_sprak_person2, r9selexp2_kunnskap_person1 , r9selexp_kunnskap_person2, r9selexp2_popularitet_person1, r9selexp2_popularitet_person2, r9selexp2_vennskap_person1, r9selexp2_vennskap_person2, r9selexp2_enighet_person1, r9selexp2_enighet_person2, r9selexp2_diskuterer_person1, r9selexp2_diskuterer_person2, r9selexp2_omtale_person1, r9selexp2_omtale_person2, r9selexp2_overskrift_person1, r9selexp2_overskrift_person2, r9selexp2_kilde_person1, r9selexp2_kilde_person2]
Literal question: [Second question. R9SELEXP2_sporsmal_0 or R9SELEXP2_sporsmal_1. See instructions of R9SELEXP2_sporsmal]
Technical description: [Asked if x_ran=2 and r9selexp2_ran=2.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Person and case 1 479 46.2% 0.46235521
2 Person and case 2 461 44.5% 0.44498069
97 No answer 96 9.3% 0.09266409
98 Not asked 5861 NA


r9k26


Variable label: Highest completed education
Literal question: What is your highest completed education?
Technical description: [All respondents asked. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-15]

Value Label Cases Percentage
1 No completed education 41 0.6% 0.005944614
2 Primary school (first part of compulsory education) 52 0.8% 0.007539510
3 Elementary school (primary, 7 year elementary school, continuation school, secondary school) 511 7.4% 0.074090184
4 College certificate 59 0.9% 0.008554444
5 Completed upper secondary education, general studies/preparatory education programme, oneyear post admission 843 12.2% 0.122227055
6 Completed upper secondary eduction, vocational subjects/education programmes (qualifying examination, apprenticeship examination) 810 11.7% 0.117442366
7 Pre-university/college course that does not give credits 75 1.1% 0.010874293
8 Diploma from addition to upper secondary education (vocational, technical college) 221 3.2% 0.032042917
9 University/university college, less than three years, but at least 2 years (university college graduate 2 and 2½ year) 716 10.4% 0.103813252
10 Completed 3-4 year education from university college (Bachelor, teacher's college, nursing college, pre-school teacher, engineer, business economist, etc.) 1354 19.6% 0.196317239
11 Completed 3-4 year education from University (Bachelor) 461 6.7% 0.066840655
12 Completed 5-6 year education from university college (Master) 552 8% 0.080034798
13 Completed 5-6 year education from university (master, graduate), further professional education (theologist, psychologist, physician, veterinarian, engineer, architect, senior business economist) 800 11.6% 0.115992460
14 Research level (Ph.D.) 148 2.1% 0.021458605
15 None of these 85 1.2% 0.012324199
97 No answer 169 2.5% 0.024503407


r9k33


Variable label: What applies best to what you have been doing for the last 7 days
Literal question: Which of the following descriptions best applies to what you have been doing for the last 7 days.
Post-question: Select one option.
Technical description: [Asked if rekruttert!=8. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-9]

Value Label Cases Percentage
1 Paid work (or temporarily absent) 2393 57.1% 0.570985445
2 Studying (not paid for by an employer) 185 4.4% 0.044142209
3 Unemployed and actively seeking work 62 1.5% 0.014793605
4 Unemployed, wanting a job, but not actively seeking work 22 0.5% 0.005249344
5 Permanently ill or disabled 158 3.8% 0.037699833
6 Retired 1074 25.6% 0.256263422
7 Military service 5 0.1% 0.001193033
8 At home, looking after children or others 28 0.7% 0.006680983
9 Other: 173 4.1% 0.041278931
97 No answer 91 2.2% 0.021713195
98 Not asked 2706 NA


r9k33_9_other


Variable label: What applies best to what you have been doing for the last 7 days, Other [Data withheld for the sake of anonymity]
Literal question: Which of the following descriptions best applies to what you have been doing for the last 7 days.
Post-question: Merk av ett alternativ.
Technical description:

[Asked if rekruttert!=8. Background variable.]

[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:6897] [Invalid:0] [Range:-]



r9k33_kodet


Variable label: What applies best to what you have been doing for the last 7 days [coded]
Literal question: Which of the following descriptions best applies to what you have been doing for the last 7 days.
Post-question: Select one option.
Technical description:

[Asked if rekruttert!=8. Background variable.]

[This variable contains the values of r9k33 plus coded values of r9k33_9_other]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-9]

Value Label Cases Percentage
1 Paid work (or temporarily absent) 2440 58.2% 0.582199952
2 Studying (not paid for by an employer) 189 4.5% 0.045096636
3 Unemployed and actively seeking work 63 1.5% 0.015032212
4 Unemployed, wanting a job, but not actively seeking work 22 0.5% 0.005249344
5 Permanently ill or disabled 175 4.2% 0.041756144
6 Retired 1082 25.8% 0.258172274
7 Military service 5 0.1% 0.001193033
8 At home, looking after children or others 29 0.7% 0.006919590
9 Other: 96 2.3% 0.022906228
97 No answer 90 2.1% 0.021474588
98 Not asked 2706 NA


r9k34_1


Variable label: What industry do you work in: Public central administration
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if rekruttert!=8 and r9k33=1. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Public central administration 253 10.6% 0.1057250313
97 No answer 1 0% 0.0004178855
98 Not asked 4504 NA
0 2139 89.4% 0.8938570832


r9k34_2


Variable label: What industry do you work in: Kindergarten/school/teaching
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if rekruttert!=8 and r9k33=1. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Kindergarten/school/teaching 342 14.3% 0.1429168408
97 No answer 1 0% 0.0004178855
98 Not asked 4504 NA
0 2050 85.7% 0.8566652737


r9k34_3


Variable label: What industry do you work in: Health services
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if rekruttert!=8 and r9k33=1. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Health services 320 13.4% 0.1337233598
97 No answer 1 0% 0.0004178855
98 Not asked 4504 NA
0 2072 86.6% 0.8658587547


r9k34_4


Variable label: What industry do you work in: Social services/child protection
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if rekruttert!=8 and r9k33=1. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Social services/child protection 57 2.4% 0.0238194735
97 No answer 1 0% 0.0004178855
98 Not asked 4504 NA
0 2335 97.6% 0.9757626410


r9k34_5


Variable label: What industry do you work in: Nursing and care services
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if rekruttert!=8 and r9k33=1. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Nursing and care services 118 4.9% 0.0493104889
97 No answer 1 0% 0.0004178855
98 Not asked 4504 NA
0 2274 95% 0.9502716256


r9k34_6


Variable label: What industry do you work in: Defence/police/judicial system/security
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if rekruttert!=8 and r9k33=1. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Defence/police/judicial system/security 52 2.2% 0.0217300460
97 No answer 1 0% 0.0004178855
98 Not asked 4504 NA
0 2340 97.8% 0.9778520685


r9k34_7


Variable label: What industry do you work in: Agriculture/forestry/fishing
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if rekruttert!=8 and r9k33=1. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Agriculture/forestry/fishing 61 2.5% 0.0254910155
97 No answer 1 0% 0.0004178855
98 Not asked 4504 NA
0 2331 97.4% 0.9740910990


r9k34_8


Variable label: What industry do you work in: Industry/technology
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if rekruttert!=8 and r9k33=1. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Industry/technology 167 7% 0.0697868784
97 No answer 1 0% 0.0004178855
98 Not asked 4504 NA
0 2225 93% 0.9297952361


r9k34_9


Variable label: What industry do you work in: Building/construction
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if rekruttert!=8 and r9k33=1. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Building/construction 204 8.5% 0.0852486419
97 No answer 1 0% 0.0004178855
98 Not asked 4504 NA
0 2188 91.4% 0.9143334726


r9k34_10


Variable label: What industry do you work in: Retailing/shop
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if rekruttert!=8 and r9k33=1. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Retailing/shop 139 5.8% 0.0580860844
97 No answer 1 0% 0.0004178855
98 Not asked 4504 NA
0 2253 94.1% 0.9414960301


r9k34_11


Variable label: What industry do you work in: Transport/communications
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if rekruttert!=8 and r9k33=1. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Transport/communications 126 5.3% 0.0526535729
97 No answer 1 0% 0.0004178855
98 Not asked 4504 NA
0 2266 94.7% 0.9469285416


r9k34_12


Variable label: What industry do you work in: Culture/sport/organisations
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if rekruttert!=8 and r9k33=1. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Culture/sport/organisations 75 3.1% 0.0313414125
97 No answer 1 0% 0.0004178855
98 Not asked 4504 NA
0 2317 96.8% 0.9682407020


r9k34_13


Variable label: What industry do you work in: Media/advertising/PR/information
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if rekruttert!=8 and r9k33=1. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Media/advertising/PR/information 67 2.8% 0.0279983285
97 No answer 1 0% 0.0004178855
98 Not asked 4504 NA
0 2325 97.2% 0.9715837860


r9k34_14


Variable label: What industry do you work in: Research/analysis
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if rekruttert!=8 and r9k33=1. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Research/analysis 106 4.4% 0.0442958629
97 No answer 1 0% 0.0004178855
98 Not asked 4504 NA
0 2286 95.5% 0.9552862516


r9k34_15


Variable label: What industry do you work in: Travel/hotels
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if rekruttert!=8 and r9k33=1. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Travel/hotels 32 1.3% 0.0133723360
97 No answer 1 0% 0.0004178855
98 Not asked 4504 NA
0 2360 98.6% 0.9862097785


r9k34_16


Variable label: What industry do you work in: Restaurants/catering
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if rekruttert!=8 and r9k33=1. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Restaurants/catering 18 0.8% 0.0075219390
97 No answer 1 0% 0.0004178855
98 Not asked 4504 NA
0 2374 99.2% 0.9920601755


r9k34_17


Variable label: What industry do you work in: Telecommunications/IT
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if rekruttert!=8 and r9k33=1. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Telecommunications/IT 121 5.1% 0.0505641454
97 No answer 1 0% 0.0004178855
98 Not asked 4504 NA
0 2271 94.9% 0.9490179691


r9k34_18


Variable label: What industry do you work in: Banking/insurance/finance
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if rekruttert!=8 and r9k33=1. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Banking/insurance/finance 88 3.7% 0.0367739239
97 No answer 1 0% 0.0004178855
98 Not asked 4504 NA
0 2304 96.3% 0.9628081906


r9k34_19


Variable label: What industry do you work in: Commercial services
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if rekruttert!=8 and r9k33=1. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Commercial services 130 5.4% 0.0543251149
97 No answer 1 0% 0.0004178855
98 Not asked 4504 NA
0 2262 94.5% 0.9452569996


r9k34_20


Variable label: What industry do you work in: Oil/gas
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if rekruttert!=8 and r9k33=1. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Oil/gas 120 5% 0.0501462599
97 No answer 1 0% 0.0004178855
98 Not asked 4504 NA
0 2272 94.9% 0.9494358546


r9k34_21


Variable label: What industry do you work in: Other
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if rekruttert!=8 and r9k33=1. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Other 180 7.5% 0.0752193899
97 No answer 1 0% 0.0004178855
98 Not asked 4504 NA
0 2212 92.4% 0.9243627246


r9k34_21_other


Variable label: What industry do you work in: Other [Data withheld for the sake of anonymity]
Literal question: What industry do you (your company) work in?
Technical description:

[Asked if rekruttert!=8 and r9k33=1. Background variable.]

[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:6897] [Invalid:0] [Range:-]



r9k21_filter


Variable label: [Defines respondents that were recruited in wave 8 and answered ‘paid work’ on R8K33.]
Technical description: [Background variabel for r9k21.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
0 Did not answer "paid work " on R8K33 5405 78.4% 0.7836741
1 Answered "paid work " on R8K33 1492 21.6% 0.2163259


r9k21


Variable label: Which type of business do you work in?
Literal question: Which type of business do you work in?
Technical description: [Asked if R9K33=1 or R9_r8k33filter=1. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 State, county or municipal administration 484 12.5% 0.124581725
2 Public sector (e.g. school and health services) 1116 28.7% 0.287258687
3 Publicly owned enterprise 228 5.9% 0.058687259
4 Private business 1714 44.1% 0.441184041
5 Self-employed 193 5% 0.049678250
6 Other: 118 3% 0.030373230
97 No answer 32 0.8% 0.008236808
98 Not asked 3012 NA


r9k21_6_other


Variable label: Which type of business do you work in? Other [Data withheld for the sake of anonymity]
Literal question: Which type of business do you work in?
Technical description:

[Asked if R9K33=1 or R9_r8k33filter=1. Background variable.]

[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:6897] [Invalid:0] [Range:-]



r9k21_kodet


Variable label: Which type of business do you work in? [coded]
Literal question: Which type of business do you work in?
Technical description:

[Asked if R9K33=1 or R9_r8k33filter=1. Background variable.]

[This variable contains the values of r9k21 plus coded values of r9k21_6_other]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 State, county or municipal administration 484 12.5% 0.124581725
2 Public sector (e.g. school and health services) 1119 28.8% 0.288030888
3 Publicly owned enterprise 230 5.9% 0.059202059
4 Private business 1721 44.3% 0.442985843
5 Self-employed 193 5% 0.049678250
6 Other: 106 2.7% 0.027284427
97 No answer 32 0.8% 0.008236808
98 Not asked 3012 NA


r9k24a


Variable label: Is you workplace in/closely associated with the oil/gas industry?
Literal question: Is your workplace in the oil and gas industry, or closely associated with it?
Technical description: [Asked if rekruttert!=8 and r9k33=1 and r9k34_20!=1. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Yes, I work for the oil and gas industry 5 0.2% 0.002199736
2 Yes, my work is closely associated with the oil and gas industry 53 2.3% 0.023317202
3 No, but previously I have worked in, or closely associated with, the oil/gas industry 109 4.8% 0.047954245
4 No 2101 92.4% 0.924329081
97 No answer 5 0.2% 0.002199736
98 Not asked 4624 NA


r9k24_1_1


Variable label: When did your first job in the oil/gas industry begin? [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 rekruttert!=8 and R9k24a is answered and R9k24a!=4 or R9K34_20=1. Background variable.]

[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:6897] [Range:-]



r9k24_1_comment


Variable label: Comments relating to your first job in the oil/gas industry [Data withheld for the sake of anonymity]
Literal question: You can write any comments you might have here:
Technical description:

[Asked if rekruttert!=8 and R9k24a is answered and R9k24a!=4 or R9K34_20=1. Background variable.]

[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:6897] [Invalid:0] [Range:-]



r9k25


Variable label: Gross annual income
Pre-question text: What is your current income?
Literal question: Gross annual income is:
Technical description: [Asked if rekruttert!=8. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 <150 000 245 5.8% 0.05845860
2 150 001 - 300 000 535 12.8% 0.12765450
3 300 001 - 400 000 672 16% 0.16034359
4 400 001 - 500 000 830 19.8% 0.19804343
5 500 001 - 600 000 656 15.7% 0.15652589
6 600 001 - 700 000 415 9.9% 0.09902171
7 700 001 - 1 000 000 440 10.5% 0.10498688
8 >1 000 000 228 5.4% 0.05440229
97 No answer 170 4.1% 0.04056311
98 Not asked 2706 NA


r9hp1


Variable label: Your health
Literal question: In general, would you say your health is:
Technical description: [Asked if rekruttert!=8. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Excellent 596 14.2% 0.14220950
2 Very good 1524 36.4% 0.36363636
3 Good 1362 32.5% 0.32498210
4 Somewhat good 458 10.9% 0.10928179
5 Poor 139 3.3% 0.03316631
97 No answer 112 2.7% 0.02672393
98 Not asked 2706 NA


r9k27


Variable label: Marital status
Pre-question text: Marital status.
Literal question: Please click whichever alternative is most applicable.
Technical description: [Asked if rekruttert!=8. Background variable.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-9]

Value Label Cases Percentage
1 Never been married 442 10.5% 0.1054640897
2 Married 2367 56.5% 0.5647816750
3 Legally registered partner 7 0.2% 0.0016702458
4 Cohabitant 696 16.6% 0.1660701503
5 Divorced/separated 321 7.7% 0.0765926986
6 Former cohabitant 105 2.5% 0.0250536865
7 Former legally registered partner 2 0% 0.0004772131
8 Widow/widower 121 2.9% 0.0288713911
9 Other: 43 1% 0.0102600811
97 No answer 87 2.1% 0.0207587688
98 Not asked 2706 NA


r9k27_9_other


Variable label: Marital status, other [Data withheld for the sake of anonymity]
Pre-question text: Marital status.
Literal question: Please click whichever alternative is most applicable.
Technical description:

[Asked if rekruttert!=8. Background variable.]

[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:6897] [Invalid:0] [Range:-]



r9k27_kodet


Variable label: Marital status [coded]
Pre-question text: Marital status.
Literal question: Please click whichever alternative is most applicable.
Technical description:

[Asked if rekruttert!=8. Background variable.]

[This variable contains the values of r9k27 plus coded values of r9k27_9_other]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-9]

Value Label Cases Percentage
1 Never been married 469 11.2% 0.1119064662
2 Married 2367 56.5% 0.5647816750
3 Legally registered partner 7 0.2% 0.0016702458
4 Cohabitant 696 16.6% 0.1660701503
5 Divorced/separated 323 7.7% 0.0770699117
6 Former cohabitant 105 2.5% 0.0250536865
7 Former legally registered partner 2 0% 0.0004772131
8 Widow/widower 123 2.9% 0.0293486042
9 Other: 12 0.3% 0.0028632785
97 No answer 87 2.1% 0.0207587688
98 Not asked 2706 NA


r9qreview1


Variable label: Satisfied with the survey
Pre-question text: We are interested in knowing more about how participants perceive our surveys.
Literal question: All in all, how satisfied are you with the survey?
Technical description: [All respondents asked.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very satisfied 889 12.9% 0.128896622
2 Satisfied 4528 65.7% 0.656517326
3 Somewhat satisfied 1124 16.3% 0.162969407
4 Slightly satisfied 153 2.2% 0.022183558
5 Not satisfied at all 29 0.4% 0.004204727
97 Not answered 174 2.5% 0.025228360


avslutt


Variable label: Feedback on the survey [Data withheld for the sake of anonymity]
Pre-question text: Thank you very much for your participation in the Citizens’ Panel! Your answers are analyzed by Norwegian and international researchers, and are therefore a useful contribution to social research. The 25,000 travel gift card winner will be contacted as soon as the survey has closed.
Literal question: Is there anything you wish to give feedback on in connection with the survey?
Post-question: If so, you can write it here:
Technical description: [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:6897] [Invalid:0] [Range:-]



tid_brukt


Variable label: [Respondents time usage.]
Technical description: [Respondents time usage.]
Technical attributes: [Format:numeric] [Valid:6724] [Invalid:173] [Range:1-33284]



R9P1


Variable label: Gender
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Male 3477 50.4% 0.5041322
2 Female 3420 49.6% 0.4958678


R9P2


Variable label: Region
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Oslo/Akershus 1943 28.2% 0.28171669
2 Østlandet 1655 24% 0.23995940
3 Sørlandet 335 4.9% 0.04857184
4 Vestlandet 1816 26.3% 0.26330289
5 Trøndelag 615 8.9% 0.08916920
6 Nord-Norge 533 7.7% 0.07727998


R9P3


Variable label: County
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-19]

Value Label Cases Percentage
1 Akershus 868 12.6% 0.125851820
2 Oslo 1075 15.6% 0.155864869
3 Østfold 360 5.2% 0.052196607
4 Vestfold 313 4.5% 0.045382050
5 Hedmark 209 3% 0.030303030
6 Oppland 205 3% 0.029723068
7 Buskerud 360 5.2% 0.052196607
8 Telemark 208 3% 0.030158040
9 Vest-Agder 205 3% 0.029723068
10 Aust-Agder 130 1.9% 0.018848775
11 Rogaland 645 9.4% 0.093518921
12 Hordaland 767 11.1% 0.111207771
13 Sogn og Fjordane 123 1.8% 0.017833841
14 Møre og Romsdal 281 4.1% 0.040742352
15 Sør-Trøndelag 476 6.9% 0.069015514
16 Nord-Trøndelag 139 2% 0.020153690
17 Nordland 265 3.8% 0.038422503
18 Troms 200 2.9% 0.028998115
19 Finmark 68 1% 0.009859359


R9P4_1


Variable label: Highest level of completed education
Technical description: [This variable is a recode of R8P4_2]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 No education/elementary school 627 9.1% 0.09090909
2 Upper secondary eduction 2001 29% 0.29012614
3 University/university college 4090 59.3% 0.59301145
97 No answer 179 2.6% 0.02595331


R9P4_2


Variable label: Highest level of completed education
Technical description: [This variable is a compilation of w01_k26, w03_r3k26, r4k26, r5k26, r6k26, r8k26 and r9k26. Newest value is always applied.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-15]

Value Label Cases Percentage
1 No completed education 43 0.6% 0.006234595
2 Primary school (first part of compulsory education) 53 0.8% 0.007684501
3 Elementary school (primary, 7 year elementary school, continuation school, secondary school) 531 7.7% 0.076989996
4 College certificate 64 0.9% 0.009279397
5 Completed upper secondary education, general studies/preparatory education programme, one-year post admission 870 12.6% 0.126141801
6 Completed upper secondary eduction, vocational subjects/education programmes (qualifying examination, apprenticeship examination) 833 12.1% 0.120777149
7 Pre-university/college course that does not give credits 75 1.1% 0.010874293
8 Diploma from addition to upper secondary education (vocational, technical college) 223 3.2% 0.032332898
9 University/university college, less than three years, but at least 2 years (university college graduate 2 and 2½ year) 729 10.6% 0.105698130
10 Completed 3-4 year education from university college (Bachelor, teacher's college, nursing college, pre-school teacher, engineer, business economist, etc.) 1376 20% 0.199507032
11 Completed 3-4 year education from University (Bachelor) 467 6.8% 0.067710599
12 Completed 5-6 year education from university college (Master) 559 8.1% 0.081049732
13 Completed 5-6 year education from university (master, graduate), further professional education (theologist, psychologist, physician, veterinarian, engineer, architect, senior business economist) 808 11.7% 0.117152385
14 Research level (Ph.D.) 151 2.2% 0.021893577
15 None of these 96 1.4% 0.013919095
97 No answer 19 0.3% 0.002754821


R9P5_1


Variable label: Year of birth
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1939 or earlier 244 3.5% 0.0353777
2 1940-1949 1227 17.8% 0.1779034
3 1950-1959 1570 22.8% 0.2276352
4 1960-1969 1423 20.6% 0.2063216
5 1970-1979 1051 15.2% 0.1523851
6 1980-1989 820 11.9% 0.1188923
7 1990 or later 562 8.1% 0.0814847


R9P5_2


Variable label: Year of birth
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 1959 or earlier 3041 44.1% 0.4409163
2 1960-1989 3294 47.8% 0.4775990
3 1990 or later 562 8.1% 0.0814847


r9Weight1


Variable label: Weight based on variables P3, P5_2 and P1. See documentation report
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-4]



r9Weight2


Variable label: Weight based on variables P3, P5_2, P1 and B3_1 . See documentation report
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-18]



w01_k3


Variable label: Voted for following party
Literal question: Which party did you vote for at the parliamentary elections?
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-10]

Value Label Cases Percentage
1 The Christian Democratic Party 102 5.7% 0.057367829
2 The Conservative Party 482 27.1% 0.271091114
3 The Progress Party 217 12.2% 0.122047244
4 The Liberal Party 131 7.4% 0.073678290
5 The Socialist Left Party 121 6.8% 0.068053993
6 The Centre Party 76 4.3% 0.042744657
7 The Green Party 77 4.3% 0.043307087
8 The Labour Party 500 28.1% 0.281214848
9 Red 36 2% 0.020247469
10 Other: 23 1.3% 0.012935883
97 No answer 13 0.7% 0.007311586
98 Not asked 5119 NA


w03_r3k3_1


Variable label: Voted for following party last parliamentary election
Literal question: What party did you vote for at the last parliamentary election?
Technical description: [Only newly recruited respondents were ran1=1 are asked]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-12]

Value Label Cases Percentage
1 The Christian Democrats 58 5.3% 0.053357866
2 The Conservative Party of Norway 274 25.2% 0.252069917
3 The Progress Party 114 10.5% 0.104875805
4 The Liberal Party 72 6.6% 0.066237351
5 The Socialist Left Party 77 7.1% 0.070837167
6 The Centre Party 35 3.2% 0.032198712
7 The Green Party 37 3.4% 0.034038638
8 The Labour Party 301 27.7% 0.276908924
9 The Red Party 17 1.6% 0.015639374
10 Did not vote 33 3% 0.030358786
11 Was not entitled to vote 50 4.6% 0.045998160
12 Other 14 1.3% 0.012879485
97 No answer 5 0.5% 0.004599816
98 Not asked 5810 NA


w03_r3k3_2


Variable label: Voted for following party last parliamentary election
Literal question: What party did you vote for at the last parliamentary election?
Technical description: [Only newly recruited respondents where ran1=2 are asked]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-12]

Value Label Cases Percentage
1 The Christian Democrats 54 4.9% 0.0489573889
2 The Conservative Party of Norway 294 26.7% 0.2665457842
3 The Progress Party 79 7.2% 0.0716228468
4 The Liberal Party 78 7.1% 0.0707162285
5 The Socialist Left Party 91 8.3% 0.0825022665
6 The Centre Party 49 4.4% 0.0444242974
7 The Green Party 34 3.1% 0.0308250227
8 The Labour Party 294 26.7% 0.2665457842
9 The Red Party 21 1.9% 0.0190389846
10 Did not vote 37 3.4% 0.0335448776
11 Was not entitled to vote 59 5.3% 0.0534904805
12 Other 12 1.1% 0.0108794198
97 No answer 1 0.1% 0.0009066183
98 Not asked 5794 NA


c3k3


Variable label: Voted for following party last parliamentary election [Most recent available data from w01_k3, w03_r3k3_1, w03_r3k3_2]
Technical description: [Composite variable. There are minor differences in question language.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-12]

Value Label Cases Percentage
1 The Christian Democrats 214 5.4% 0.053931452
2 The Conservative Party of Norway 1050 26.5% 0.264616935
3 The Progress Party 410 10.3% 0.103326613
4 The Liberal Party 281 7.1% 0.070816532
5 The Socialist Left Party 289 7.3% 0.072832661
6 The Centre Party 160 4% 0.040322581
7 The Green Party 148 3.7% 0.037298387
8 The Labour Party 1095 27.6% 0.275957661
9 The Red Party 74 1.9% 0.018649194
10 Did not vote 93 2.3% 0.023437500
11 Was not entitled to vote 109 2.7% 0.027469758
12 Other 26 0.7% 0.006552419
97 No answer 19 0.5% 0.004788306
98 Not asked 2929 NA


w01_k25_1


Variable label: Gross annual income
Pre-question text: What is your current income?
Literal question: Gross annual income is:
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-8500000]



w01_k25_recode


Variable label: Gross annual income [Recoded from continuous to discrete scale: w01_k25]
Technical description: [Composite variable]
Technical attributes: [Format:integer] [Valid:6897] [Invalid:0] [Range:-]

Value Label Cases Percentage
1 < 150 000 184 9.4% 0.09445585
2 150 001 - 300 000 284 14.6% 0.14579055
3 300 001 - 400 000 320 16.4% 0.16427105
4 400 001 - 500 000 365 18.7% 0.18737166
5 500 001 - 600 000 243 12.5% 0.12474333
6 600 001 - 700 000 128 6.6% 0.06570842
7 700 001 - 1 000 000 169 8.7% 0.08675565
8 >1 000 000 76 3.9% 0.03901437
97 No answer 179 9.2% 0.09188912
98 Not asked 4949 NA


w03_r3k25


Variable label: Current income
Literal question: What is your current income?
Technical description: [Only asked new respondents, and old respondents where information was missing]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 < 150 000 226 9.5% 0.09527825
2 150 001 - 300 000 353 14.9% 0.14881956
3 300 001 - 400 000 411 17.3% 0.17327150
4 400 001 - 500 000 472 19.9% 0.19898820
5 500 001 - 600 000 331 14% 0.13954469
6 600 001 - 700 000 171 7.2% 0.07209106
7 700 001 - 1 000 000 195 8.2% 0.08220911
8 >1 000 000 92 3.9% 0.03878583
97 No answer 121 5.1% 0.05101180
98 Not asked 4525 NA


r4k25


Variable label: Current income
Literal question: What is your current income?
Technical description: [Asked respondents where information is missing]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 < 150 000 15 17% 0.17045455
2 150 001 - 300 000 11 12.5% 0.12500000
3 300 001 - 400 000 14 15.9% 0.15909091
4 400 001 - 500 000 7 8% 0.07954545
5 500 001 - 600 000 9 10.2% 0.10227273
6 600 001 - 700 000 2 2.3% 0.02272727
7 700 001 - 1 000 000 2 2.3% 0.02272727
8 >1 000 000 4 4.5% 0.04545455
97 No answer 24 27.3% 0.27272727
98 Not asked 6809 NA


r5k25


Variable label: What is your current income?
Technical description: [Asked respondents if background information is missing]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 < 150 000 3 5.8% 0.05769231
2 150 001 - 300 000 4 7.7% 0.07692308
3 300 001 - 400 000 12 23.1% 0.23076923
4 400 001 - 500 000 2 3.8% 0.03846154
5 500 001 - 600 000 5 9.6% 0.09615385
6 600 001 - 700 000 1 1.9% 0.01923077
7 700 001 - 1 000 000 4 7.7% 0.07692308
8 >1 000 000 1 1.9% 0.01923077
97 No answer 20 38.5% 0.38461538
98 Not asked 6845 NA


r8k25


Variable label: Gross annual income
Pre-question text: What is your current income?
Literal question: Gross annual income is:
Technical description:

[Asked if rekruttert=8. Demographical background questions asked only to newly recruited respondents. ]

[Question on income is also asked respondents in previous waves. See documentation for r8B2_1 and r8B2_2.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 <150 000 291 10.9% 0.10948081
2 150 001 - 300 000 375 14.1% 0.14108352
3 300 001 - 400 000 414 15.6% 0.15575621
4 400 001 - 500 000 524 19.7% 0.19714071
5 500 001 - 600 000 388 14.6% 0.14597442
6 600 001 - 700 000 215 8.1% 0.08088789
7 700 001 - 1 000 000 268 10.1% 0.10082769
8 >1 000 000 107 4% 0.04025583
97 No answer 76 2.9% 0.02859293
98 Not asked 4239 NA


c8k25


Variable label: Gross annual income [Most recent available data from w01_k25, r3k25, r4k25, r5k25, r8k25]
Pre-question text: Gross annual income is:
Technical description: [Composite variable. Question altered in wave 8. w01_k25 recoded to discrete scale.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 <150 000 696 10.2% 0.10179903
2 150 001 - 300 000 1027 15% 0.15021208
3 300 001 - 400 000 1171 17.1% 0.17127395
4 400 001 - 500 000 1370 20% 0.20038028
5 500 001 - 600 000 976 14.3% 0.14275267
6 600 001 - 700 000 517 7.6% 0.07561796
7 700 001 - 1 000 000 638 9.3% 0.09331578
8 >1 000 000 280 4.1% 0.04095363
97 No answer 162 2.4% 0.02369460
98 Not asked 60 NA


w01_k28


Variable label: Citizenship
Literal question: Citizenship. Are you:
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Norwegian citizen 1815 93.2% 0.93172485
2 Citizen of a different country. Please indicate which country 92 4.7% 0.04722793
97 No answer 41 2.1% 0.02104723
98 Not asked (imputed) 4949 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:6897] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Norwegian citizen 2087 93.7% 0.93671454
2 Citizen of a different country. Please indicate which country 118 5.3% 0.05296230
97 No answer 23 1% 0.01032316
98 Not asked 4669 NA


r4k28


Variable label: Nationality
Literal question: Nationality: Are you:
Technical description: [Asked respondents where information is missing]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 A Norwegian citizen 33 86.8% 0.86842105
2 A citizen of another country. Please state which 4 10.5% 0.10526316
97 No answer 1 2.6% 0.02631579
98 Not asked 6859 NA


r5k28


Variable label: Nationality
Literal question: Nationality: Are you:
Technical description: [Asked respondents if background information is missing]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 A Norwegian citizen 14 87.5% 0.8750
2 A citizen of another country. Please state which 1 6.2% 0.0625
97 No answer 1 6.2% 0.0625
98 Not asked 6881 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:6897] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Norwegian citizen 2481 93.3% 0.933408578
2 Citizen of a different country. Please indicate which country: 151 5.7% 0.056809631
97 No answer 26 1% 0.009781791
98 Not asked 4239 NA


c8k28


Variable label: Citizenship [Most recent available data from w01_k28, w03_r3k28, r4k28, r5k28, r8k28]
Pre-question text: Are you:
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Norwegian citizen 6430 94% 0.940470967
2 Citizen of a different country. Please indicate which country: 366 5.4% 0.053532251
97 No answer 41 0.6% 0.005996782
98 Not asked 60 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:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 No 1735 89.1% 0.890657084
2 I have immigrated to Norway myself 101 5.2% 0.051848049
3 Both of my parents immigrated to Norway, but I am born in Norway 11 0.6% 0.005646817
4 Mother immigrated to Norway, but I and my father have not immigrated 31 1.6% 0.015913758
5 Father immigrated to Norway, but I and my mother have not immigrated 27 1.4% 0.013860370
97 No answer 43 2.2% 0.022073922
98 Not asked (imputed) 4949 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:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 No 2015 90.3% 0.903182429
2 I have immigrated to Norway myself 107 4.8% 0.047960556
3 Both of my parents immigrated to Norway, but I am born in Norway 13 0.6% 0.005826983
4 Mother immigrated to Norway, but I and my father have not immigrated 43 1.9% 0.019273868
5 Father immigrated to Norway, but I and my mother have not immigrated 27 1.2% 0.012102196
97 No answer 26 1.2% 0.011653967
98 Not asked 4666 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:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 No 30 75% 0.750
2 I have immigrated to Norway 2 5% 0.050
3 Both my parents have immigrated to Norway, but I was born in Norway 1 2.5% 0.025
4 My mother immigrated to Norway, but my father and I did not 4 10% 0.100
5 My father immigrated to Norway, but my mother and I did not 1 2.5% 0.025
97 No answer 2 5% 0.050
98 Not asked 6857 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:6897] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 No 14 77.8% 0.77777778
2 I have immigrated to Norway 3 16.7% 0.16666667
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 0 0% 0.00000000
5 My father immigrated to Norway, but my mother and I did not 0 0% 0.00000000
97 No answer 1 5.6% 0.05555556
98 Not asked 6879 NA


c5k29


Variable label: Have you or your parents immigrated to Norway? [Most recent available data from w01_k29, w03_r3k29, r5k29]
Pre-question text: Have you or your parents (mother, father or both parents) immigrated to Norway?
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 No 3794 90.8% 0.907872697
2 I have immigrated to Norway 213 5.1% 0.050969131
3 Both my parents have immigrated to Norway, but I was born in Norway 25 0.6% 0.005982292
4 My mother immigrated to Norway, but my father and I did not 78 1.9% 0.018664752
5 My father immigrated to Norway, but my mother and I did not 55 1.3% 0.013161043
97 No answer 14 0.3% 0.003350084
98 Not asked 2718 NA


w02_hp1


Variable label: About health condition
Literal question: Finally, we would like to ask you a few questions about yourself: In general, would you say your health is:
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Excellent 258 14.8% 0.148190695
2 Very good 682 39.2% 0.391728891
3 Good 572 32.9% 0.328546812
4 Somewhat good 184 10.6% 0.105686387
5 Poor 35 2% 0.020103389
97 No answer 10 0.6% 0.005743825
98 Not asked (imputed) 5156 NA


w03_r3hp1


Variable label: Health condition
Literal question: Generally speaking, would you say that your health is:
Technical description: [Only asked new respondents]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Excellent 449 20.4% 0.203812982
2 Very good 878 39.9% 0.398547435
3 Good 574 26.1% 0.260553790
4 Quite good 204 9.3% 0.092600999
5 Poor 80 3.6% 0.036314117
97 No answer 18 0.8% 0.008170676
98 Not asked 4694 NA


r8hp1


Variable label: Your health
Literal question: In general, would you say your health is:
Technical description: [Asked if rekruttert=8. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Excellent 522 19.6% 0.196388262
2 Very good 1015 38.2% 0.381866065
3 Good 774 29.1% 0.291196388
4 Somewhat good 237 8.9% 0.089164786
5 Poor 85 3.2% 0.031978932
97 No answer 25 0.9% 0.009405568
98 Not asked 4239 NA


c8hp1


Variable label: Your health [Most recent available data from w02_hp1, w03_r3hp1, r8hp1]
Pre-question text: In general, would you say your health is:
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Excellent 1229 18.6% 0.18615571
2 Very good 2575 39% 0.39003332
3 Good 1920 29.1% 0.29082096
4 Somewhat good 625 9.5% 0.09466828
5 Poor 200 3% 0.03029385
97 No answer 53 0.8% 0.00802787
98 Not asked 295 NA


r4k40


Variable label: Belongs to a religion or a religious denomination [Data withheld for the sake of anonymity]
Literal question: Do you belong to a religion or a religious community?
Technical description: [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:integer] [Valid:6897] [Invalid:0] [Range:-]

Value Label Cases Percentage
1 The Church of Norway 0 NaN
2 The Catholic Church 0 NaN
3 An orthodox church (Greek, Russian, other) 0 NaN
4 Other protestant faiths (e.g. free churches, Anglican church, Pentecostalists, etc.) 0 NaN
5 Other Christian faiths (e.g. Jehovah's Witnesses, Mormons) 0 NaN
6 The Mosaic faith (Jewish) 0 NaN
7 Islam (Muslim) 0 NaN
8 Eastern religions (e.g. Buddhism, Hinduism, Sikh, Shintoism, Taoism, Confucianism) 0 NaN
9 Other non-Christian religions 0 NaN
10 I don't belong to any religion or religious communities. 0 NaN
97 No answer 0 NaN
98 Not asked (imputed) 6897 NA


r5k40


Variable label: Belongs to a religion or a religious denomination [Data withheld for the sake of anonymity]
Literal question: Do you belong to a religion or a religious community?
Technical description:

[Asked respondents if background information is missing]

[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:integer] [Valid:6897] [Invalid:0] [Range:-]

Value Label Cases Percentage
1 The Church of Norway 0 NaN
2 The Catholic Church 0 NaN
3 An orthodox church (Greek, Russian, other) 0 NaN
4 Other protestant faiths (e.g. free churches, Anglican church, Pentecostalists, etc.) 0 NaN
5 Other Christian faiths (e.g. Jehovah's Witnesses, Mormons) 0 NaN
6 The Mosaic faith (Jewish) 0 NaN
7 Islam (Muslim) 0 NaN
8 Eastern religions (e.g. Buddhism, Hinduism, Sikh, Shintoism, Taoism, Confucianism) 0 NaN
9 Other non-Christian religions 0 NaN
10 I don't belong to any religion or religious communities. 0 NaN
97 No answer 0 NaN
98 Not asked 6897 NA


c5k40


Variable label: Belongs to a religion or a religious denomination [Most recent available data from r4k40_recode, r5k40_recode]
Pre-question text: Do you belong to a religion or a religious community?
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 The Church of Norway 2616 67.1% 0.670769231
2 The Catholic Church 44 1.1% 0.011282051
3 Other Christian faiths (Orthodox church, and other christian faiths, e.g. free churches, Anglican church, Pentecostalists, Jehovah's Witnesses, and Mormons) 151 3.9% 0.038717949
4 Other non-Christian religions (The Mosaic faith, eastern religions (e.g. Buddhism, Hinduism, Sikh, Shintoism, Taoism, Confucianism), and others) 40 1% 0.010256410
5 Islam 16 0.4% 0.004102564
6 I don't belong to any religion or religious communities. 1009 25.9% 0.258717949
97 No answer 24 0.6% 0.006153846
98 Not asked (imputed) 2997 NA


r4k41


Variable label: Attending religious meetings
Literal question: Apart from special occasions such as weddings and funerals, how often would you say that you attend religions meetings at the moment?
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Daily 3 0.1% 0.0008358874
2 More than once a week 62 1.7% 0.0172750070
3 Once a week 112 3.1% 0.0312064642
4 At least once a month 183 5.1% 0.0509891335
5 Only at special festivals 745 20.8% 0.2075787127
6 Less often 881 24.5% 0.2454722764
7 Never 1603 44.7% 0.4466425188
97 No answer 0 0% 0.0000000000
98 Not asked (imputed) 3308 NA


r5k41


Variable label: Attend religious meetings
Literal question: Apart from special occasions such as weddings and funerals, how often would you say that you attend religions meetings at the moment?
Technical description: [Asked respondents if background information is missing]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:2-7]

Value Label Cases Percentage
1 Daily 0 0% 0.000000000
2 More than once a week 1 0.3% 0.003355705
3 Once a week 7 2.3% 0.023489933
4 At least once a month 12 4% 0.040268456
5 Only at special festivals 81 27.2% 0.271812081
6 Less often 72 24.2% 0.241610738
7 Never 114 38.3% 0.382550336
97 No answer 11 3.7% 0.036912752
98 Not asked 6599 NA


c5k41


Variable label: Attend religious meetings [Most recent available data from r4k41, r5k41]
Pre-question text: Apart from special occasions such as weddings and funerals, how often would you say that you attend religions meetings at the moment?
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Daily 3 0.1% 0.0007718034
2 More than once a week 63 1.6% 0.0162078724
3 Once a week 119 3.1% 0.0306148701
4 At least once a month 195 5% 0.0501672241
5 Only at special festivals 826 21.3% 0.2125032158
6 Less often 953 24.5% 0.2451762285
7 Never 1717 44.2% 0.4417288397
97 No answer 11 0.3% 0.0028299460
98 Not asked 3010 NA


r4k42


Variable label: Living with children under 16 years
Literal question: Do you have any children under the age of 16 who live at home with you, and if so, how many?
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 None 2762 77.3% 0.7728035814
2 1 365 10.2% 0.1021264689
3 2 350 9.8% 0.0979294908
4 3 87 2.4% 0.0243424734
5 4 9 0.3% 0.0025181869
6 5 1 0% 0.0002797985
7 6 or more 0 0% 0.0000000000
97 No answer 0 0% 0.0000000000
98 Not asked (imputed) 3323 NA


r5k42


Variable label: Living with children under 16
Literal question: Do you have any children under the age of 16 who live at home with you, and if so, how many?
Technical description: [Asked respondents if background information is missing]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 None 228 72.6% 0.726114650
2 1 25 8% 0.079617834
3 2 34 10.8% 0.108280255
4 3 11 3.5% 0.035031847
5 4 2 0.6% 0.006369427
6 5 1 0.3% 0.003184713
7 6 or more 0 0% 0.000000000
97 No answer 13 4.1% 0.041401274
98 Not asked 6583 NA


r8k42


Variable label: Number of children under the age of 16
Literal question: Do you have any children under the age of 16 who live at home with you, and if so, how many?
Technical description: [Asked if rekruttert=8. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 None 1986 74.7% 0.7471783296
2 1 260 9.8% 0.0978179082
3 2 261 9.8% 0.0981941309
4 3 82 3.1% 0.0308502634
5 4 5 0.2% 0.0018811136
6 5 5 0.2% 0.0018811136
7 6 or more 2 0.1% 0.0007524454
97 No answer 57 2.1% 0.0214446953
98 Not asked 4239 NA


c8k42


Variable label: Number of children under the age of 16 [Most recent available data from r4k42, r5k42, r8k42]
Pre-question text: Do you have any children under the age of 16 who live at home with you, and if so, how many?
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 None 4976 76% 0.7601588756
2 1 650 9.9% 0.0992972808
3 2 645 9.9% 0.0985334555
4 3 180 2.7% 0.0274977085
5 4 16 0.2% 0.0024442408
6 5 7 0.1% 0.0010693553
7 6 or more 2 0% 0.0003055301
97 No answer 70 1.1% 0.0106935533
98 Not asked 351 NA


r5k2


Variable label: Voted in local elections
Literal question: Did you vote in the local government elections this autumn?
Technical description: [Asked if u=0]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Yes, I voted in both the municipal and county council elections 2860 81% 0.809968847
2 Yes, but I only voted in the municipal council election 290 8.2% 0.082129708
3 Yes, but I only voted in the county council election 10 0.3% 0.002832059
4 No 345 9.8% 0.097706032
97 No answer 26 0.7% 0.007363353
98 Not asked (imputed) 3366 NA


r5k43_1


Variable label: Voted for following party at local elections
Pre-question text: What party did you vote for in the local election?
Literal question: Municipal council election
Technical description: [Asked if u=0 and R5K2<=3]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-12]

Value Label Cases Percentage
1 The Red Party 109 3.4% 0.0342229199
2 The Socialist Left Party 195 6.1% 0.0612244898
3 The Labour Party 970 30.5% 0.3045525903
4 The Christian Democrats 147 4.6% 0.0461538462
5 The Liberal Party 215 6.8% 0.0675039246
6 The Conservative Party 759 23.8% 0.2383045526
7 The Progress Party 249 7.8% 0.0781789639
8 The Green Party 169 5.3% 0.0530612245
9 The Centre Party 209 6.6% 0.0656200942
10 Other party/local list 112 3.5% 0.0351648352
11 Did not vote 8 0.3% 0.0025117739
12 Not entitled to vote 1 0% 0.0003139717
97 No answer 42 1.3% 0.0131868132
98 Not asked 3712 NA


r5k43_2


Variable label: Voted for following party at county council election
Pre-question text: What party did you vote for in the local election?
Literal question: County council election
Technical description: [Asked if u=0 and R5K2<=3]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-12]

Value Label Cases Percentage
1 The Red Party 80 2.5% 0.025157233
2 The Socialist Left Party 174 5.5% 0.054716981
3 The Labour Party 912 28.7% 0.286792453
4 The Christian Democrats 158 5% 0.049685535
5 The Liberal Party 164 5.2% 0.051572327
6 The Conservative Party 690 21.7% 0.216981132
7 The Progress Party 228 7.2% 0.071698113
8 The Green Party 186 5.8% 0.058490566
9 The Centre Party 167 5.3% 0.052515723
10 Other party/local list 59 1.9% 0.018553459
11 Did not vote 64 2% 0.020125786
12 Not entitled to vote 8 0.3% 0.002515723
97 No answer 290 9.1% 0.091194969
98 Not asked 3717 NA


r6k35


Variable label: Best description of the area you live in
Literal question: Which description best fits the area you live in?
Post-question: We are thinking about Norwegian conditions here.
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A city 896 26.2% 0.26244874
2 A suburb or the outskirts of a city 626 18.3% 0.18336262
3 A small or medium sized town 921 27% 0.26977153
4 A village 541 15.8% 0.15846514
5 A sparsely inhabited area 381 11.2% 0.11159930
97 No answer 49 1.4% 0.01435267
98 Not asked (imputed) 3483 NA


r7k35


Variable label: Which description best fits the area you live in?
Literal question: Which description best fits the area you live in?
Post-question: We are thinking about Norwegian conditions here.
Technical description: [Only asked to respondents that have not answered on R6K35 in wave 5.]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A city 104 23.7% 0.23744292
2 A suburb or the outskirts of a city 92 21% 0.21004566
3 A small or medium sized town 117 26.7% 0.26712329
4 A village 65 14.8% 0.14840183
5 A sparsely inhabited area 43 9.8% 0.09817352
97 No answer 17 3.9% 0.03881279
98 Not asked 6459 NA


c7k35


Variable label: Which description best fits the area you live in? [Most recent available data from r6k35, r7k35]
Pre-question text: Which description best fits the area you live in?
Literal question: We are thinking about Norwegian conditions here.
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A city 1000 26.2% 0.261917234
2 A suburb or the outskirts of a city 718 18.8% 0.188056574
3 A small or medium sized town 1038 27.2% 0.271870089
4 A village 606 15.9% 0.158721844
5 A sparsely inhabited area 424 11.1% 0.111052907
97 No answer 32 0.8% 0.008381351
98 Not asked 3079 NA


r6k33


Variable label: What applies best to what you have been doing for the last 7 days
Literal question: Which of the following descriptions best applies to what you have been doing for the last 7 days.
Post-question: Mark one alternative.
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-9]

Value Label Cases Percentage
1 Paid work (or temporarily absent) 1960 57.4% 0.574106620
2 Studying (not paid for by an employer) 160 4.7% 0.046865847
3 Unemployed and actively seeking work 57 1.7% 0.016695958
4 Unemployed. Want a job, but not actively seeking work 20 0.6% 0.005858231
5 Permanently ill or disabled 114 3.3% 0.033391916
6 Retired 850 24.9% 0.248974810
7 Civilian or military service 6 0.2% 0.001757469
8 At home, looking after children or others 30 0.9% 0.008787346
9 Other 172 5% 0.050380785
97 No answer 45 1.3% 0.013181019
98 Not asked (imputed) 3483 NA


r7k33


Variable label: Which description best applies to what you have been doing the last week?
Literal question: Which of the following descriptions best applies to what you have been doing for the last 7 days.
Post-question: Mark one alternative.
Technical description: [Asked if respondent did not previously respond to r6k33]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-9]

Value Label Cases Percentage
1 Paid work (or temporarily absent) 232 53.5% 0.534562212
2 Studying (not paid for by an employer) 26 6% 0.059907834
3 Unemployed and actively seeking work 14 3.2% 0.032258065
4 Unemployed. Want a job, but not actively seeking work 3 0.7% 0.006912442
5 Permanently ill or disabled 17 3.9% 0.039170507
6 Retired 91 21% 0.209677419
7 Civilian or military service 0 0% 0.000000000
8 At home, looking after children or others 8 1.8% 0.018433180
9 Other 22 5.1% 0.050691244
97 No answer 21 4.8% 0.048387097
98 Not asked 6463 NA


r8k33


Variable label: What applies best to what you have been doing for the last 7 days
Literal question: Which of the following descriptions best applies to what you have been doing for the last 7 days.
Post-question: Select one option.
Technical description: [Asked if rekruttert=8. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-9]

Value Label Cases Percentage
1 Paid work (or temporarily absent) 1492 56.1% 0.561324304
2 Studying (not paid for by an employer) 205 7.7% 0.077125658
3 Unemployed and actively seeking work 50 1.9% 0.018811136
4 Unemployed, wanting a job, but not actively seeking work 18 0.7% 0.006772009
5 Permanently ill or disabled 93 3.5% 0.034988713
6 Retired 574 21.6% 0.215951843
7 Civilian or military service 8 0.3% 0.003009782
8 At home, looking after children or others 38 1.4% 0.014296464
9 Other: 155 5.8% 0.058314522
97 No answer 25 0.9% 0.009405568
98 Not asked 4239 NA


c8k33


Variable label: What applies best to what you have been doing for the last 7 days [Most recent available data from r6k33, r7k33, r8k33]
Pre-question text: Which of the following descriptions best applies to what you have been doing for the last 7 days.
Literal question: Select one option.
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-9]

Value Label Cases Percentage
1 Paid work (or temporarily absent) 3684 56.9% 0.568869673
2 Studying (not paid for by an employer) 391 6% 0.060376776
3 Unemployed and actively seeking work 121 1.9% 0.018684373
4 Unemployed, wanting a job, but not actively seeking work 41 0.6% 0.006331069
5 Permanently ill or disabled 224 3.5% 0.034589253
6 Retired 1515 23.4% 0.233940704
7 Civilian or military service 14 0.2% 0.002161828
8 At home, looking after children or others 76 1.2% 0.011735639
9 Other: 349 5.4% 0.053891291
97 No answer 61 0.9% 0.009419395
98 Not asked 421 NA


r6k34_1


Variable label: What industry do you work in: Public central administration
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if R6K33=1]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Public central administration/authority 220 11.2% 0.1122449
97 No answer 0 0% 0.0000000
98 Not asked 4937 NA
0 1740 88.8% 0.8877551


r8k34_1


Variable label: What industry do you work in: Public central administration
Pre-question text:

What industry do you (your company) work in?

It is possible to mark more than one answer.
Literal question: Public central administration
Technical description: [Asked if rekruttert=8 and R8K33=1. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Public central administration 159 10.7% 0.1065684
97 No answer 0 0% 0.0000000
98 Not asked 5405 NA
0 1333 89.3% 0.8934316


c8k34_1


Variable label: What industry do you work in: Public central administration [Most recent available data from r6k34_1, r8k34_1]
Pre-question text: Public central administration
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Public central administration 379 11% 0.1097914
97 No answer 0 0% 0.0000000
98 Not asked 3445 NA
0 3073 89% 0.8902086


r6k34_2


Variable label: What industry do you work in: Kindergarten/school/teaching
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if R6K33=1]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Kindergarten/school/teaching 259 13.2% 0.1321429
97 No answer 0 0% 0.0000000
98 Not asked 4937 NA
0 1701 86.8% 0.8678571


r8k34_2


Variable label: What industry do you work in: Kindergarten/school/teaching
Pre-question text:

What industry do you (your company) work in?

It is possible to mark more than one answer.
Literal question: Kindergarten/school/teaching
Technical description: [Asked if rekruttert=8 and R8K33=1. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Kindergarten/school/teaching 228 15.3% 0.152815
97 No answer 0 0% 0.000000
98 Not asked 5405 NA
0 1264 84.7% 0.847185


c8k34_2


Variable label: What industry do you work in: Kindergarten/school/teaching [Most recent available data from r6k34_2, r8k34_2]
Pre-question text: Kindergarten/school/teaching
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Kindergarten/school/teaching 487 14.1% 0.1410776
97 No answer 0 0% 0.0000000
98 Not asked 3445 NA
0 2965 85.9% 0.8589224


r6k34_3


Variable label: What industry do you work in: Health services
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if R6K33=1]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Health services 269 13.7% 0.1372449
97 No answer 0 0% 0.0000000
98 Not asked 4937 NA
0 1691 86.3% 0.8627551


r8k34_3


Variable label: What industry do you work in: Health services
Pre-question text:

What industry do you (your company) work in?

It is possible to mark more than one answer.
Literal question: Health services
Technical description: [Asked if rekruttert=8 and R8K33=1. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Health services 174 11.7% 0.116622
97 No answer 0 0% 0.000000
98 Not asked 5405 NA
0 1318 88.3% 0.883378


c8k34_3


Variable label: What industry do you work in: Health services [Most recent available data from r6k34_3, r8k34_3]
Pre-question text: Health services
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Health services 443 12.8% 0.1283314
97 No answer 0 0% 0.0000000
98 Not asked 3445 NA
0 3009 87.2% 0.8716686


r6k34_4


Variable label: What industry do you work in: Social services/child protection
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if R6K33=1]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Social services/child protection 42 2.1% 0.02142857
97 No answer 0 0% 0.00000000
98 Not asked 4937 NA
0 1918 97.9% 0.97857143


r8k34_4


Variable label: What industry do you work in: Social services/child protection
Pre-question text:

What industry do you (your company) work in?

It is possible to mark more than one answer.
Literal question: Social services/child protection
Technical description: [Asked if rekruttert=8 and R8K33=1. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Social services/child protection 47 3.2% 0.03150134
97 No answer 0 0% 0.00000000
98 Not asked 5405 NA
0 1445 96.8% 0.96849866


c8k34_4


Variable label: What industry do you work in: Social services/child protection [Most recent available data from r6k34_4, r8k34_4]
Pre-question text: Social services/child protection
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Social services/child protection 89 2.6% 0.02578216
97 No answer 0 0% 0.00000000
98 Not asked 3445 NA
0 3363 97.4% 0.97421784


r6k34_5


Variable label: What industry do you work in: Nursing and care services
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if R6K33=1]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Nursing and care services 100 5.1% 0.05102041
97 No answer 0 0% 0.00000000
98 Not asked 4937 NA
0 1860 94.9% 0.94897959


r8k34_5


Variable label: What industry do you work in: Nursing and care services
Pre-question text:

What industry do you (your company) work in?

It is possible to mark more than one answer.
Literal question: Nursing and care services
Technical description: [Asked if rekruttert=8 and R8K33=1. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Nursing and care services 86 5.8% 0.05764075
97 No answer 0 0% 0.00000000
98 Not asked 5405 NA
0 1406 94.2% 0.94235925


c8k34_5


Variable label: What industry do you work in: Nursing and care services [Most recent available data from r6k34_5, r8k34_5]
Pre-question text: Nursing and care services
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Nursing and care services 186 5.4% 0.05388181
97 No answer 0 0% 0.00000000
98 Not asked 3445 NA
0 3266 94.6% 0.94611819


r6k34_6


Variable label: What industry do you work in: Defence/police/judicial system/security
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if R6K33=1]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Defence/police/judicial system/security 50 2.6% 0.0255102
97 No answer 0 0% 0.0000000
98 Not asked 4937 NA
0 1910 97.4% 0.9744898


r8k34_6


Variable label: What industry do you work in: Defence/police/judicial system/security
Pre-question text:

What industry do you (your company) work in?

It is possible to mark more than one answer.
Literal question: Defence/police/judicial system/security
Technical description: [Asked if rekruttert=8 and R8K33=1. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Defence/police/judicial system/security 45 3% 0.03016086
97 No answer 0 0% 0.00000000
98 Not asked 5405 NA
0 1447 97% 0.96983914


c8k34_6


Variable label: What industry do you work in: Defence/police/judicial system/security [Most recent available data from r6k34_6, r8k34_6]
Pre-question text: Defence/police/judicial system/security
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Defence/police/judicial system/security 95 2.8% 0.02752028
97 No answer 0 0% 0.00000000
98 Not asked 3445 NA
0 3357 97.2% 0.97247972


r6k34_7


Variable label: What industry do you work in: Agriculture/forestry/fishing
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if R6K33=1]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Agriculture/forestry/fishing 47 2.4% 0.02397959
97 No answer 0 0% 0.00000000
98 Not asked 4937 NA
0 1913 97.6% 0.97602041


r8k34_7


Variable label: What industry do you work in: Agriculture/forestry/fishing
Pre-question text:

What industry do you (your company) work in?

It is possible to mark more than one answer.
Literal question: Agriculture/forestry/fishing
Technical description: [Asked if rekruttert=8 and R8K33=1. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Agriculture/forestry/fishing 44 2.9% 0.02949062
97 No answer 0 0% 0.00000000
98 Not asked 5405 NA
0 1448 97.1% 0.97050938


c8k34_7


Variable label: What industry do you work in: Agriculture/forestry/fishing [Most recent available data from r6k34_7, r8k34_7]
Pre-question text: Agriculture/forestry/fishing
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Agriculture/forestry/fishing 91 2.6% 0.02636153
97 No answer 0 0% 0.00000000
98 Not asked 3445 NA
0 3361 97.4% 0.97363847


r6k34_8


Variable label: What industry do you work in: Industry/technology
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if R6K33=1]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Industry/technology 149 7.6% 0.07602041
97 No answer 0 0% 0.00000000
98 Not asked 4937 NA
0 1811 92.4% 0.92397959


r8k34_8


Variable label: What industry do you work in: Industry/technology
Pre-question text:

What industry do you (your company) work in?

It is possible to mark more than one answer.
Literal question: Industry/technology
Technical description: [Asked if rekruttert=8 and R8K33=1. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Industry/technology 122 8.2% 0.08176944
97 No answer 0 0% 0.00000000
98 Not asked 5405 NA
0 1370 91.8% 0.91823056


c8k34_8


Variable label: What industry do you work in: Industry/technology [Most recent available data from r6k34_8, r8k34_8]
Pre-question text: Industry/technology
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Industry/technology 271 7.9% 0.07850521
97 No answer 0 0% 0.00000000
98 Not asked 3445 NA
0 3181 92.1% 0.92149479


r6k34_9


Variable label: What industry do you work in: Building/construction
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if R6K33=1]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Building/construction 154 7.9% 0.07857143
97 No answer 0 0% 0.00000000
98 Not asked 4937 NA
0 1806 92.1% 0.92142857


r8k34_9


Variable label: What industry do you work in: Building/construction
Pre-question text:

What industry do you (your company) work in?

It is possible to mark more than one answer.
Literal question: Building/construction
Technical description: [Asked if rekruttert=8 and R8K33=1. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Building/construction 107 7.2% 0.07171582
97 No answer 0 0% 0.00000000
98 Not asked 5405 NA
0 1385 92.8% 0.92828418


c8k34_9


Variable label: What industry do you work in: Building/construction [Most recent available data from r6k34_9, r8k34_9]
Pre-question text: Building/construction
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Building/construction 261 7.6% 0.07560834
97 No answer 0 0% 0.00000000
98 Not asked 3445 NA
0 3191 92.4% 0.92439166


r6k34_10


Variable label: What industry do you work in: Retailing/shop
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if R6K33=1]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Retailing/shop 92 4.7% 0.04693878
97 No answer 0 0% 0.00000000
98 Not asked 4937 NA
0 1868 95.3% 0.95306122


r8k34_10


Variable label: What industry do you work in: Retailing/shop
Pre-question text:

What industry do you (your company) work in?

It is possible to mark more than one answer.
Literal question: Retailing/shop
Technical description: [Asked if rekruttert=8 and R8K33=1. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Retailing/shop 97 6.5% 0.0650134
97 No answer 0 0% 0.0000000
98 Not asked 5405 NA
0 1395 93.5% 0.9349866


c8k34_10


Variable label: What industry do you work in: Retailing/shop [Most recent available data from r6k34_10, r8k34_10]
Pre-question text: Retailing/shop
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Retailing/shop 189 5.5% 0.05475087
97 No answer 0 0% 0.00000000
98 Not asked 3445 NA
0 3263 94.5% 0.94524913


r6k34_11


Variable label: What industry do you work in: Transport/communications
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if R6K33=1]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Transport/communications 98 5% 0.05
97 No answer 0 0% 0.00
98 Not asked 4937 NA
0 1862 95% 0.95


r8k34_11


Variable label: What industry do you work in: Transport/communications
Pre-question text:

What industry do you (your company) work in?

It is possible to mark more than one answer.
Literal question: Transport/communications
Technical description: [Asked if rekruttert=8 and R8K33=1. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Transport/communications 72 4.8% 0.04825737
97 No answer 0 0% 0.00000000
98 Not asked 5405 NA
0 1420 95.2% 0.95174263


c8k34_11


Variable label: What industry do you work in: Transport/communications [Most recent available data from r6k34_11, r8k34_11]
Pre-question text: Transport/communications
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Transport/communications 170 4.9% 0.04924681
97 No answer 0 0% 0.00000000
98 Not asked 3445 NA
0 3282 95.1% 0.95075319


r6k34_12


Variable label: What industry do you work in: Culture/sport/organisations
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if R6K33=1]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Culture/sport/organisations 70 3.6% 0.03571429
97 No answer 0 0% 0.00000000
98 Not asked 4937 NA
0 1890 96.4% 0.96428571


r8k34_12


Variable label: What industry do you work in: Culture/sport/organisations
Pre-question text:

What industry do you (your company) work in?

It is possible to mark more than one answer.
Literal question: Culture/sport/organisations
Technical description: [Asked if rekruttert=8 and R8K33=1. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Culture/sport/organisations 57 3.8% 0.03820375
97 No answer 0 0% 0.00000000
98 Not asked 5405 NA
0 1435 96.2% 0.96179625


c8k34_12


Variable label: What industry do you work in: Culture/sport/organisations [Most recent available data from r6k34_12, r8k34_12]
Pre-question text: Culture/sport/organisations
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Culture/sport/organisations 127 3.7% 0.03679027
97 No answer 0 0% 0.00000000
98 Not asked 3445 NA
0 3325 96.3% 0.96320973


r6k34_13


Variable label: What industry do you work in: Media/advertising
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if R6K33=1]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Media/advertising/PR/information 53 2.7% 0.02704082
97 No answer 0 0% 0.00000000
98 Not asked 4937 NA
0 1907 97.3% 0.97295918


r8k34_13


Variable label: What industry do you work in: Media/advertising/PR/information
Pre-question text:

What industry do you (your company) work in?

It is possible to mark more than one answer.
Literal question: Media/advertising/PR/information
Technical description: [Asked if rekruttert=8 and R8K33=1. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Media/advertising/PR/information 37 2.5% 0.02479893
97 No answer 0 0% 0.00000000
98 Not asked 5405 NA
0 1455 97.5% 0.97520107


c8k34_13


Variable label: What industry do you work in: Media/advertising/PR/information [Most recent available data from r6k34_13, r8k34_13]
Pre-question text: Media/advertising/PR/information
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Media/advertising/PR/information 90 2.6% 0.02607184
97 No answer 0 0% 0.00000000
98 Not asked 3445 NA
0 3362 97.4% 0.97392816


r6k34_14


Variable label: What industry do you work in: Research/analysis
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if R6K33=1]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Research/analysis 80 4.1% 0.04081633
97 No answer 0 0% 0.00000000
98 Not asked 4937 NA
0 1880 95.9% 0.95918367


r8k34_14


Variable label: What industry do you work in: Research/analysis
Pre-question text:

What industry do you (your company) work in?

It is possible to mark more than one answer.
Literal question: Research/analysis
Technical description: [Asked if rekruttert=8 and R8K33=1. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Research/analysis 70 4.7% 0.04691689
97 No answer 0 0% 0.00000000
98 Not asked 5405 NA
0 1422 95.3% 0.95308311


c8k34_14


Variable label: What industry do you work in: Research/analysis [Most recent available data from r6k34_14, r8k34_14]
Pre-question text: Research/analysis
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Research/analysis 150 4.3% 0.04345307
97 No answer 0 0% 0.00000000
98 Not asked 3445 NA
0 3302 95.7% 0.95654693


r6k34_15


Variable label: What industry do you work in: Travel/hotels
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if R6K33=1]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Travel/hotels 21 1.1% 0.01071429
97 No answer 0 0% 0.00000000
98 Not asked 4937 NA
0 1939 98.9% 0.98928571


r8k34_15


Variable label: What industry do you work in: Travel/hotels
Pre-question text:

What industry do you (your company) work in?

It is possible to mark more than one answer.
Literal question: Travel/hotels
Technical description: [Asked if rekruttert=8 and R8K33=1. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Travel/hotels 19 1.3% 0.01273458
97 No answer 0 0% 0.00000000
98 Not asked 5405 NA
0 1473 98.7% 0.98726542


c8k34_15


Variable label: What industry do you work in: Travel/hotels [Most recent available data from r6k34_15, r8k34_15]
Pre-question text: Travel/hotels
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Travel/hotels 40 1.2% 0.01158749
97 No answer 0 0% 0.00000000
98 Not asked 3445 NA
0 3412 98.8% 0.98841251


r6k34_16


Variable label: What industry do you work in: Restaurants/catering
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if R6K33=1]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Restaurants/catering 11 0.6% 0.005612245
97 No answer 0 0% 0.000000000
98 Not asked 4937 NA
0 1949 99.4% 0.994387755


r8k34_16


Variable label: What industry do you work in: Restaurants/catering
Pre-question text:

What industry do you (your company) work in?

It is possible to mark more than one answer.
Literal question: Restaurants/catering
Technical description: [Asked if rekruttert=8 and R8K33=1. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Restaurants/catering 19 1.3% 0.01273458
97 No answer 0 0% 0.00000000
98 Not asked 5405 NA
0 1473 98.7% 0.98726542


c8k34_16


Variable label: What industry do you work in: Restaurants/catering [Most recent available data from r6k34_16, r8k34_16]
Pre-question text: Restaurants/catering
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Restaurants/catering 30 0.9% 0.008690614
97 No answer 0 0% 0.000000000
98 Not asked 3445 NA
0 3422 99.1% 0.991309386


r6k34_17


Variable label: What industry do you work in: Telecommunications/IT
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if R6K33=1]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Telecommunications/IT 104 5.3% 0.05306122
97 No answer 0 0% 0.00000000
98 Not asked 4937 NA
0 1856 94.7% 0.94693878


r8k34_17


Variable label: What industry do you work in: Telecommunications/IT
Pre-question text:

What industry do you (your company) work in?

It is possible to mark more than one answer.
Literal question: Telecommunications/IT
Technical description: [Asked if rekruttert=8 and R8K33=1. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Telecommunications/IT 95 6.4% 0.06367292
97 No answer 0 0% 0.00000000
98 Not asked 5405 NA
0 1397 93.6% 0.93632708


c8k34_17


Variable label: What industry do you work in: Telecommunications/IT [Most recent available data from r6k34_17, r8k34_17]
Pre-question text: Telecommunications/IT
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Telecommunications/IT 199 5.8% 0.05764774
97 No answer 0 0% 0.00000000
98 Not asked 3445 NA
0 3253 94.2% 0.94235226


r6k34_18


Variable label: What industry do you work in: Banking/insurance/finance
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if R6K33=1]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Banking/insurance/finance 73 3.7% 0.0372449
97 No answer 0 0% 0.0000000
98 Not asked 4937 NA
0 1887 96.3% 0.9627551


r8k34_18


Variable label: What industry do you work in: Banking/insurance/finance
Pre-question text:

What industry do you (your company) work in?

It is possible to mark more than one answer.
Literal question: Banking/insurance/finance
Technical description: [Asked if rekruttert=8 and R8K33=1. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Banking/insurance/finance 52 3.5% 0.03485255
97 No answer 0 0% 0.00000000
98 Not asked 5405 NA
0 1440 96.5% 0.96514745


c8k34_18


Variable label: What industry do you work in: Banking/insurance/finance [Most recent available data from r6k34_18, r8k34_18]
Pre-question text: Banking/insurance/finance
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Banking/insurance/finance 125 3.6% 0.03621089
97 No answer 0 0% 0.00000000
98 Not asked 3445 NA
0 3327 96.4% 0.96378911


r6k34_19


Variable label: What industry do you work in: Commercial services
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if R6K33=1]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Commercial services 110 5.6% 0.05612245
97 No answer 0 0% 0.00000000
98 Not asked 4937 NA
0 1850 94.4% 0.94387755


r8k34_19


Variable label: What industry do you work in: Commercial services
Pre-question text:

What industry do you (your company) work in?

It is possible to mark more than one answer.
Literal question: Commercial services
Technical description: [Asked if rekruttert=8 and R8K33=1. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Commercial services 98 6.6% 0.06568365
97 No answer 0 0% 0.00000000
98 Not asked 5405 NA
0 1394 93.4% 0.93431635


c8k34_19


Variable label: What industry do you work in: Commercial services [Most recent available data from r6k34_19, r8k34_19]
Pre-question text: Commercial services
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Commercial services 208 6% 0.06025492
97 No answer 0 0% 0.00000000
98 Not asked 3445 NA
0 3244 94% 0.93974508


r6k34_20


Variable label: What industry do you work in: Oil/gas
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if R6K33=1]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Oil/gas 110 5.6% 0.05612245
97 No answer 0 0% 0.00000000
98 Not asked 4937 NA
0 1850 94.4% 0.94387755


r8k34_20


Variable label: What industry do you work in: Oil/gas
Pre-question text:

What industry do you (your company) work in?

It is possible to mark more than one answer.
Literal question: Oil/gas
Technical description: [Asked if rekruttert=8 and R8K33=1. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Oil/gas 88 5.9% 0.05898123
97 No answer 0 0% 0.00000000
98 Not asked 5405 NA
0 1404 94.1% 0.94101877


c8k34_20


Variable label: What industry do you work in: Oil/gas [Most recent available data from r6k34_20, r8k34_20]
Pre-question text: Oil/gas
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Oil/gas 198 5.7% 0.05735805
97 No answer 0 0% 0.00000000
98 Not asked 3445 NA
0 3254 94.3% 0.94264195


r6k34_21


Variable label: What industry do you work in: Other
Literal question: What industry do you (your company) work in?
Post-question: It is possible to mark more than one answer.
Technical description: [Asked if R6K33=1]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Other 131 6.7% 0.06683673
97 No answer 0 0% 0.00000000
98 Not asked 4937 NA
0 1829 93.3% 0.93316327


r8k34_21


Variable label: What industry do you work in: Other
Pre-question text:

What industry do you (your company) work in?

It is possible to mark more than one answer.
Literal question: Other
Technical description: [Asked if rekruttert=8 and R8K33=1. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Annet 101 6.8% 0.06769437
97 No answer 0 0% 0.00000000
98 Not asked 5405 NA
0 1391 93.2% 0.93230563


c8k34_21


Variable label: What industry do you work in: Other [Most recent available data from r6k34_21, r8k34_21]
Pre-question text: Other
Technical description: [Composite variable]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Annet 232 6.7% 0.06720742
97 No answer 0 0% 0.00000000
98 Not asked 3445 NA
0 3220 93.3% 0.93279258


r8k27


Variable label: Marital status
Pre-question text: Marital status.
Literal question: Please click whichever alternative is most applicable.
Technical description: [Asked if rekruttert=8. Demographical background questions asked only to newly recruited respondents. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-9]

Value Label Cases Percentage
1 Never been married 351 13.2% 0.1320541761
2 Married 1391 52.3% 0.5233258089
3 Legally registrered partner 5 0.2% 0.0018811136
4 Cohabitant 495 18.6% 0.1862302483
5 Divorced/separated 181 6.8% 0.0680963130
6 Former cohabitant 80 3% 0.0300978179
7 Former legally registrered partner 1 0% 0.0003762227
8 Widow/widower 79 3% 0.0297215952
9 Other: 45 1.7% 0.0169300226
97 No answer 30 1.1% 0.0112866817
98 Not asked 4239 NA


r8k15


Variable label: Can most people be trusted?
Literal question: Would you say that most people in general can be trusted, or do you think that one cannot be careful enough when dealing with others?
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-10]

Value Label Cases Percentage
1 1 - Cannot be careful enough 138 2.2% 0.022344560
2 2 96 1.6% 0.015544041
3 3 306 5% 0.049546632
4 4 397 6.4% 0.064281088
5 5 627 10.2% 0.101522021
6 6 550 8.9% 0.089054404
7 7 1257 20.4% 0.203529793
8 8 1603 26% 0.259553109
9 9 616 10% 0.099740933
10 10 - Most people can be trusted 561 9.1% 0.090835492
97 No answer 25 0.4% 0.004047927
98 Not asked (imputed) 721 NA


r8straff


Variable label: Assertion: Violent crimes should be punished more severely
Pre-question text: To what extent do you agree or disagree with the following assertion?
Literal question: Violent crimes should be punished far more severely than at present.
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 1429 23.1% 0.231379534
2 Agree 1954 31.6% 0.316386010
3 Agree somewhat 1414 22.9% 0.228950777
4 Neither agree nor disagree 778 12.6% 0.125971503
5 Disagree somewhat 250 4% 0.040479275
6 Disagree 179 2.9% 0.028983161
7 Strongly disagree 41 0.7% 0.006638601
97 No answer 131 2.1% 0.021211140
98 Not asked (imputed) 721 NA


r8vekst


Variable label: Assertion: Economic growth should be safeguarded through the development of industry, even if it conflicts with environmental interests
Pre-question text: To what extent do you agree or disagree with the following assertion?
Literal question: Economic growth should be safeguarded through the development of industry, even if it comes into conflict with environmental interests.
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 228 3.7% 0.03691710
2 Agree 698 11.3% 0.11301813
3 Agree somewhat 1378 22.3% 0.22312176
4 Neither agree nor disagree 730 11.8% 0.11819948
5 Disagree somewhat 1321 21.4% 0.21389249
6 Disagree 1201 19.4% 0.19446244
7 Strongly disagree 510 8.3% 0.08257772
97 No answer 110 1.8% 0.01781088
98 Not asked (imputed) 721 NA


r8storstat


Variable label: Assertion: Government should contribute to reducing income differences
Pre-question text: To what extent do you agree or disagree with the following assertion?
Literal question: The government should contribute to reducing income differences in society.
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 1157 18.7% 0.18733808
2 Agree 1942 31.4% 0.31444301
3 Agree somewhat 1657 26.8% 0.26829663
4 Neither agree nor disagree 553 9% 0.08954016
5 Disagree somewhat 420 6.8% 0.06800518
6 Disagree 232 3.8% 0.03756477
7 Strongly disagree 74 1.2% 0.01198187
97 No answer 141 2.3% 0.02283031
98 Not asked (imputed) 721 NA


r8egeninnsats


Variable label: Assertion: People should work hard through own efforts without counting on help
Pre-question text: To what extent do you agree or disagree with the following assertion?
Literal question: People should work hard to get ahead through their own efforts without counting on help from others.
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 339 5.5% 0.05488990
2 Agree 1436 23.3% 0.23251295
3 Agree somewhat 2138 34.6% 0.34617876
4 Neither agree nor disagree 789 12.8% 0.12775259
5 Disagree somewhat 843 13.6% 0.13649611
6 Disagree 446 7.2% 0.07221503
7 Strongly disagree 107 1.7% 0.01732513
97 No answer 78 1.3% 0.01262953
98 Not asked (imputed) 721 NA


r8parlikhet


Variable label: Assertion: Heterosexual and homosexual couples should have equal rights
Pre-question text: To what extent do you agree or disagree with the following assertion?
Literal question: Heterosexual and homosexual couples should have equal rights.
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 2645 42.8% 0.42827073
2 Agree 1820 29.5% 0.29468912
3 Agree somewhat 560 9.1% 0.09067358
4 Neither agree nor disagree 389 6.3% 0.06298575
5 Disagree somewhat 273 4.4% 0.04420337
6 Disagree 231 3.7% 0.03740285
7 Strongly disagree 156 2.5% 0.02525907
97 No answer 102 1.7% 0.01651554
98 Not asked (imputed) 721 NA


r8euint


Variable label: Assertion: European integration through the EU gone too far
Pre-question text: To what extent do you agree or disagree with the following assertion?
Literal question: European integration through the EU has gone too far.
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 872 14.1% 0.14119171
2 Agree 1253 20.3% 0.20288212
3 Agree somewhat 1360 22% 0.22020725
4 Neither agree nor disagree 1308 21.2% 0.21178756
5 Disagree somewhat 544 8.8% 0.08808290
6 Disagree 577 9.3% 0.09342617
7 Strongly disagree 125 2% 0.02023964
97 No answer 137 2.2% 0.02218264
98 Not asked (imputed) 721 NA


r8innvandring


Variable label: Assertion: Immigration a threat to Norwegian culture
Pre-question text: To what extent do you agree or disagree with the following assertion?
Literal question: Immigration poses a serious threat to Norwegian culture.
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 600 9.7% 0.09715026
2 Agree 749 12.1% 0.12127591
3 Agree somewhat 1339 21.7% 0.21680699
4 Neither agree nor disagree 628 10.2% 0.10168394
5 Disagree somewhat 821 13.3% 0.13293394
6 Disagree 1303 21.1% 0.21097798
7 Strongly disagree 632 10.2% 0.10233161
97 No answer 104 1.7% 0.01683938
98 Not asked (imputed) 721 NA


r8bekym


Variable label: Concern about climate change
Literal question: How concerned are you about climate change?
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very concerned 939 15.2% 0.152040155
2 Concerned 2125 34.4% 0.344073834
3 Somewhat concerned 2042 33.1% 0.330634715
4 Not particularly concerned 873 14.1% 0.141353627
5 Not at all concerned 175 2.8% 0.028335492
97 No answer 22 0.4% 0.003562176
98 Not asked (imputed) 721 NA


r8k14


Variable label: Statement: Sometimes politics is so complicated that I do not understand what it’s about
Pre-question text: To what extent do you agree or disagree with the following statement:
Literal question: Sometimes politics is so complicated that people like me do not understand what it’s about.
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 172 2.8% 0.02784974
2 Agree 688 11.1% 0.11139896
3 Agree somewhat 1985 32.1% 0.32140544
4 Neither agree nor disagree 741 12% 0.11998057
5 Disagree somewhat 972 15.7% 0.15738342
6 Disagree 1136 18.4% 0.18393782
7 Strongly disagree 282 4.6% 0.04566062
97 No answer 200 3.2% 0.03238342
98 Not asked (imputed) 721 NA


r8k13


Variable label: How much the political system in Norway allows you to have a say in what the government does
Literal question: How much would you say the political system in Norway allows people like you to have a say in what the government does?
Technical description: [All respondents asked. ]
Technical attributes: [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great extent 60 1% 0.009715026
2 To a great extent 823 13.3% 0.133257772
3 To some extent 3009 48.7% 0.487208549
4 To a small extent 1861 30.1% 0.301327720
5 Not at all 268 4.3% 0.043393782
97 No answer 155 2.5% 0.025097150
98 Not asked (imputed) 721 NA