Codebook

Norwegian Citizen Panel

Round 15

v-102 - 2023-11-06









Produced by ideas2evidence










Citation

Primary investigators

Name Affiliation
Elisabeth Ivarsflaten Coordinator, University of Bergen (UiB)
Stefan Dahlberg Coordinator, UiB
Erla Løvseth UiB
Sveinung Arnesen NORCE
Susanne Bygnes UiB
Endre Tvinnereim UiB
Nina Serdarevic UiB
Lise Bjånesøy UiB
Erik Knudsen UiB
Gisela Böhm UiB
Thea Gregersen UiB
Arjan Schakel UiB
Anne Lise Fimreite UiB
Kristine Bærøe UiB

Producers

Name Affiliation Role
Øivind Skjervheim ideas2evidence Coordinator
Olav Bjørnebekk ideas2evidence Project Team Member
Amund Eikrem ideas2evidence Project Team Member
Asle Høgestøl ideas2evidence Quality Assurance

Study description

Abstract

The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time 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 Ideas 2 Evidence 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 is available at www.medborger.uib.no

Scope

Geographic Coverage: National geographic coverage. Counties as geographic coding.
Unit of Analysis: Individual
Universe: Norwegian Citizens above the age of 18.

Methodology - Data Collection

Sampling Procedure

Members of the Norwegian Citizen Panel have been recruited in five waves, wave 1, wave 3, wave 8, wave 11 and wave 14. In wave 1, 4.870 panel members were recruited (see documentation from wave 1). In wave 3, 5.623 members were recruited (see documentation from wave 3). In wave 8, 4245 new members were recruited (see documentation from wave 8). In wave 11, 2069 panel members were recruited (see documentation from wave 11). In wave 14, 2036 panel members were recruited (see documentation from wave 14).

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

This National Population Registry includes everyone born in Norway as well as former and current inhabitants. The Norwegian Tax Administration is responsible for the register, but the administration is partly outsourced to the private IT-company Evry. Evry drew the sample on behalf of the Citizen Panel after the necessary permissions were acquired from the Norwegian Tax Administration.

14 000 individuals over the age of 18 were randomly drawn from the register. The extracted data was a) last name, b) first name, c) address, d) gender, e) age, and f) phone number. The sample excluded people with no current home address in Norway.

Mode of Data Collection

The survey is based on a web-based questionnaire with postal recruitment. Please refer to the Documentation Report from Wave 14. The report is available here: http://digsscore.uib.no/download-data-and-documentation

In wave 15, emails were sent out on May 21st, 2019.

E-mail with reminder was sent out three times, May 29th, June 9th and June 7th, respectively, to respondents who: a) had not logged in to the survey, or b) had not completed the survey. Panel members with registered mobile numbers received the last reminder via text message. Panel members without registered phone number were reminded by e-mail.

Wave 15 ended June 10th.

Weighting

To compensate for the observed bias, a set of weights has been calculated. The weights equal the relation between a given strata in the population and the total population, divided by the relation between a given strata in the net sample and the total net sample. This procedure returns values around 1, but above 0. Respondents who are underrepresented will receive a weight above 1 and respondents who are overrepresented a weight below 1. The weights of the different stratums are listed in the documentation report. When calculating the weights, the information regarding the respondent’s geographical location, gender and age are based on registry data. These attributes were included in the sample file we received from the Norwegian Population Register. Information regarding the level of education is provided by the respondents when answering the questionnaire.

Two different weights have been calculated:

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

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

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


Change Log

Version Release date / Date changed Variable Changes and notes
v-102 2023-11-06 NA Revised release of round 15
NA 2023-10-25 r15Weight4 New variable: Added r15Weight4
NA 2023-10-25 r15Weight4 Variable documentation inserted
v-102 2023-10-25 NA Revised release of round 15
v-101 2020-06-15 NA Revised release of round 15
NA 2019-12-10 r15km_a_open Added anonymized data. Available on request.
NA 2019-12-10 r15arbeidolje1 Updated conditions and missing values.
NA 2019-12-10 r15_arbeidolje2 Updated conditions and missing values.
NA 2019-12-10 r15arbeidolje_2b Updated conditions and missing values.
NA 2019-08-15 r15helse6 Flipped answer scale (0 - 100, 100 - 0). Added value labels on end points.
v-100 2019-06-21 NA Initial release of round 15


Dataset contents

File name Norwegian Citizen Panel - round 15 - v-102-O.sav
Distribution type Public
# Cases 8105
# Variables 352


Variable Documentation

responseid


Variable label: responseid
Technical attributes: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15interview_start


Variable label: [Date and time of when the respondent first opened the questionnaire. Excel-format. ]
Technical description: [Date and time of when the respondent first opened the questionnaire. Excel-format. ]
Technical attributes: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15interview_end


Variable label: [Date and time of when the respondent completed the questionnaire. Excel-format. ]
Technical description: [Date and time of when the respondent completed the questionnaire. Excel-format. ]
Technical attributes: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15group


Variable label: [Subgroup in wave 15. Randomized ]
Technical description: [Subgroup in wave 15. Randomized ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 g1 1375 17.0% 0.1696484
2 g2 1317 16.2% 0.1624923
3 g3 1336 16.5% 0.1648365
4 g4 1347 16.6% 0.1661937
5 g5 1360 16.8% 0.1677977
6 g6 1370 16.9% 0.1690315


r15rekruttert


Variable label: [The wave the respondent was recruited. ]
Technical description: [The wave the respondent was recruited. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-14]

Value Label Cases Percentage
1 Wave 1 1743 21.5% 0.2150524
3 Wave 3 1892 23.3% 0.2334362
8 Wave 8 1864 23.0% 0.2299815
11 Wave 11 1180 14.6% 0.1455891
14 Wave 14 1426 17.6% 0.1759408


r15browsertype


Variable label: [Browertype used by respondent ]
Technical description: [Browertype used by respondent ]
Technical attributes: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15browserversion


Variable label: [Browser version used by respondent ]
Technical description: [Browser version used by respondent ]
Technical attributes: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15mobil


Variable label: [Determines if the respondents uses mobile ]
Technical description: [Determines if the respondents uses mobile ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
0 Other 4924 60.8% 0.6075262
1 Mobile 3181 39.2% 0.3924738


r15opplosning


Variable label: [Screen resolution of the applied device ]
Technical description: [Screen resolution of the applied device ]
Technical attributes: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15enhetstype


Variable label: [Determines respondents device type. ]
Technical description: [Determines respondents device type. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 PC 5034 62.1% 0.621098088
2 Touch 3047 37.6% 0.375940777
3 Generisk 24 0.3% 0.002961135


r15advancedwifeaturesenabled


Variable label: [Determine whether the respondent’s browser supports Advanced WI Features that require client side scripts, such as sliders, drag-n-drop ranking, images instead of radio-buttons/check-boxes etc. ]
Technical description: [Determine whether the respondent’s browser supports Advanced WI Features that require client side scripts, such as sliders, drag-n-drop ranking, images instead of radio-buttons/check-boxes etc. ]
Technical attributes: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15getrenderingmode


Variable label: [Detects the browsers rendering mode ]
Technical description: [Detects the browsers rendering mode ]
Technical attributes: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15padper14


Variable label: Agree/disagree: The municipality should finance hot lunches in kindergarten.
Pre-question text: To what extent do you agree or disagree with the following assertion:
Literal question: Norwegian municipalities should finance hot lunch every day to children in kindergartens.
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 178 12.9% 0.129454545
2 Agree 282 20.5% 0.205090909
3 Somewhat agree 303 22.0% 0.220363636
4 Neither agree nor disagree 217 15.8% 0.157818182
5 Somewhat disagree 146 10.6% 0.106181818
6 Disagree 198 14.4% 0.144000000
7 Strongly disagree 49 3.6% 0.035636364
97 Not answered 2 0.1% 0.001454545
98 Not asked 6730 NA


r15padper1_1


Variable label: Prioritize spending on: Higher education.
Pre-question text:

Political decisions can be costly to implement, and it is often not possible to prioritize all decisions equally even if they are considered important.

What do you think the government should do with regard to the following issues:
Literal question: Higher education
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Spend a lot more money 52 3.8% 0.037818182
2 Spend more money 340 24.7% 0.247272727
3 Spend a little more money 381 27.7% 0.277090909
4 Spend as much money as now 511 37.2% 0.371636364
5 Spend a little less money 58 4.2% 0.042181818
6 Spend less money 14 1.0% 0.010181818
7 Spend a lot less money 5 0.4% 0.003636364
97 Not answered 14 1.0% 0.010181818
98 Not asked 6730 NA


r15padper1_2


Variable label: Prioritize spending on: Unemployment benefits.
Pre-question text:

Political decisions can be costly to implement, and it is often not possible to prioritize all decisions equally even if they are considered important.

What do you think the government should do with regard to the following issues:
Literal question: Unemployment benefits
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Spend a lot more money 32 2.3% 0.02327273
2 Spend more money 174 12.7% 0.12654545
3 Spend a little more money 264 19.2% 0.19200000
4 Spend as much money as now 623 45.3% 0.45309091
5 Spend a little less money 193 14.0% 0.14036364
6 Spend less money 58 4.2% 0.04218182
7 Spend a lot less money 11 0.8% 0.00800000
97 Not answered 20 1.5% 0.01454545
98 Not asked 6730 NA


r15padper1_3


Variable label: Prioritize spending on: Retirement pensions.
Pre-question text:

Political decisions can be costly to implement, and it is often not possible to prioritize all decisions equally even if they are considered important.

What do you think the government should do with regard to the following issues:
Literal question: Retirement pensions
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Spend a lot more money 154 11.2% 0.112000000
2 Spend more money 372 27.1% 0.270545455
3 Spend a little more money 422 30.7% 0.306909091
4 Spend as much money as now 361 26.3% 0.262545455
5 Spend a little less money 39 2.8% 0.028363636
6 Spend less money 11 0.8% 0.008000000
7 Spend a lot less money 5 0.4% 0.003636364
97 Not answered 11 0.8% 0.008000000
98 Not asked 6730 NA


r15padper2_1


Variable label: How important issue for you: Higher education.
Pre-question text: How important are these issues for you?
Literal question: Higher education
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 303 22.0% 0.22036364
2 Important 660 48.0% 0.48000000
3 Somewhat important 278 20.2% 0.20218182
4 Not very important 84 6.1% 0.06109091
5 Not important at all 31 2.3% 0.02254545
97 Not answered 19 1.4% 0.01381818
98 Not asked 6730 NA


r15padper2_2


Variable label: How important issue for you: Unemployment benefits.
Pre-question text: How important are these issues for you?
Literal question: Unemployment benefits
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 110 8.0% 0.08000000
2 Important 464 33.7% 0.33745455
3 Somewhat important 471 34.3% 0.34254545
4 Not very important 238 17.3% 0.17309091
5 Not important at all 68 4.9% 0.04945455
97 Not answered 24 1.7% 0.01745455
98 Not asked 6730 NA


r15padper2_3


Variable label: How important issue for you: Retirement pensions.
Pre-question text: How important are these issues for you?
Literal question: Retirement pensions
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 440 32.0% 0.320000000
2 Important 651 47.3% 0.473454545
3 Somewhat important 237 17.2% 0.172363636
4 Not very important 33 2.4% 0.024000000
5 Not important at all 7 0.5% 0.005090909
97 Not answered 7 0.5% 0.005090909
98 Not asked 6730 NA


r15padper9


Variable label: Agree/disagree: The number of municipalities should be reduced further through merging.
Pre-question text: To what extent do you agree or disagree with the following assertion?
Literal question: From the year 2020, Norway will have 356 municipalities instead of 422 as of today. The number of municipalities should be reduced further by more mergers.
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 211 15.3% 0.153454545
2 Agree 240 17.5% 0.174545455
3 Somewhat agree 266 19.3% 0.193454545
4 Neither agree nor disagree 197 14.3% 0.143272727
5 Somewhat disagree 148 10.8% 0.107636364
6 Disagree 186 13.5% 0.135272727
7 Strongly disagree 122 8.9% 0.088727273
97 Not answered 5 0.4% 0.003636364
98 Not asked 6730 NA


r15padper10


Variable label: Agree/disagree: Meat- and dairy production should be halved by 2050.
Pre-question text:

Research suggests that livestock husbandry may be negative for the environment. Meanwhile, meat and dairy products are an important source of food.

To what extent do you agree or disagree with the following assertion:
Literal question: Norway should halve today’s meat and dairy production by 2050.
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 55 4.0% 0.040000000
2 Agree 123 8.9% 0.089454545
3 Somewhat agree 185 13.5% 0.134545455
4 Neither agree nor disagree 154 11.2% 0.112000000
5 Somewhat disagree 207 15.1% 0.150545455
6 Disagree 367 26.7% 0.266909091
7 Strongly disagree 279 20.3% 0.202909091
97 Not answered 5 0.4% 0.003636364
98 Not asked 6730 NA


r15padper11


Variable label: Agree/disagree: The government should work to reduce wealth differences.
Pre-question text: To what extent do you agree or disagree with the following assertion:
Literal question: The government should work to reduce the wealth differences in society to a greater extent.
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 336 24.4% 0.244363636
2 Agree 352 25.6% 0.256000000
3 Somewhat agree 283 20.6% 0.205818182
4 Neither agree nor disagree 155 11.3% 0.112727273
5 Somewhat disagree 104 7.6% 0.075636364
6 Disagree 107 7.8% 0.077818182
7 Strongly disagree 32 2.3% 0.023272727
97 Not answered 6 0.4% 0.004363636
98 Not asked 6730 NA


r15padper13


Variable label: Agree/disagree: Norwegian municipalities should not have property taxes.
Pre-question text: To what extent do you agree or disagree with the following assertion:
Literal question: Norwegian municipalities should not have property taxes.
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 334 24.3% 0.242909091
2 Agree 249 18.1% 0.181090909
3 Somewhat agree 169 12.3% 0.122909091
4 Neither agree nor disagree 196 14.3% 0.142545455
5 Somewhat disagree 183 13.3% 0.133090909
6 Disagree 170 12.4% 0.123636364
7 Strongly disagree 66 4.8% 0.048000000
97 Not answered 8 0.6% 0.005818182
98 Not asked 6730 NA


r15padper15_ran1


Variable label: [Randomizes if r15group = 1. Background variable. Randomly selects value for r15padper15.]
Technical description: [Randomizes if r15group = 1. Background variable. Randomly selects value for r15padper15.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1373] [Invalid:6732] [Range:1-4]

Value Label Cases Percentage
1 a neutral life-stance humanist school. The school should be an ordinary Norwegian school that follows the national competence goals, and in addition teaches humanistic values. 314 22.9% 0.2286963
2 a Muslim school. The school should be an ordinary Norwegian school that follows the national competence goals, and in addition teaches Islam. 374 27.2% 0.2723962
3 a Christian school. The school should be an ordinary Norwegian school that follows the national competence goals, and in addition teaches Christianity 352 25.6% 0.2563729
4 a Jewish school. The school should be an ordinary Norwegian school that follows the national competence goals, and in addition teaches Judaism. 333 24.3% 0.2425346
Sysmiss 6732 NA


r15padper15_ran2


Variable label: [Randomizes if r15group = 1. Background variable. Randomly selects value for r15padper15.]
Technical description: [Randomizes if r15group = 1. Background variable. Randomly selects value for r15padper15.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1373] [Invalid:6732] [Range:1-4]

Value Label Cases Percentage
1 [blank] 303 22.1% 0.2206846
2 , but 42% of all residents of the municipality are against the school 365 26.6% 0.2658412
3 , but 52% of all residents of the municipality are against the school 349 25.4% 0.2541879
4 , but 62% of all residents of the municipality are against the school 356 25.9% 0.2592862
Sysmiss 6732 NA


r15padper15_ran3


Variable label: [Randomizes if r15group = 1. Background variable. Randomly selects value for r15padper15.]
Technical description: [Randomizes if r15group = 1. Background variable. Randomly selects value for r15padper15.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1373] [Invalid:6732] [Range:1-4]

Value Label Cases Percentage
1 [blank] 343 25.0% 0.2498179
2 Some experts believe that such a school hinders social mobility. 333 24.3% 0.2425346
3 Some experts believe that the application is authorised by law. 370 26.9% 0.2694829
4 Some experts believe that faith-based schools are in line with religious freedom. 327 23.8% 0.2381646
Sysmiss 6732 NA


r15padper15


Variable label: Municipality should support or oppose an application for a belief based school.
Pre-question text:

Imagine that there is an application to the Norwegian Directorate of Education and Training to start [a neutral life-stance humanist school. The school should be an ordinary Norwegian school that follows the national competence goals, and in addition teaches humanistic values./a Muslim school. The school should be an ordinary Norwegian school that follows the national competence goals, and in addition teaches Islam./a Christian school. The school should be an ordinary Norwegian school that follows the national competence goals, and in addition teaches Christianity./a Jewish school. The school should be an ordinary Norwegian school that follows the national competence goals, and in addition teaches Judaism.]

It seems that there is sufficient demand for this type of school in the municipality where the school will be built [ /, but 42% of all residents of the municipality are against the school/, but 52% of all residents of the municipality are against the school/, but 62% of all residents of the municipality are against the school]

[/Some experts believe that such a school hinders social mobility/Some experts believe that the application is authorised by law./Some experts believe that faith-based schools are in line with religious freedom.]
Literal question: In your opinion, should the municipal council support or protest against this application to the Directorate of Education and Training?
Technical description: [Asked if r15group = 1. Experiment. The question text depends on the values in r15padper15_ran1, r15padper15_ran2 and r15padper15_ran3.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 The municipality should support the proposal 547 39.8% 0.39781818
2 The municipality should object to the proposal 807 58.7% 0.58690909
97 Not answered 21 1.5% 0.01527273
98 Not asked 6730 NA


r15km_nato


Variable label: Norway should or should not continue to be a member of NATO.
Literal question: Which of the following alternatives is closest to your point of view:
Technical description: [Asked if r15group = 2 ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Norway should continue to be a member of NATO. 1234 93.7% 0.936977980
2 Norway should opt out of NATO. 72 5.5% 0.054669704
97 Not answered 11 0.8% 0.008352316
98 Not asked 6788 NA


r15km_nato_open


Variable label: Open [R15KM_NATO]. [Data withheld for the sake of anonymity]
Literal question: If you have additional comments, please write them here:
Technical description: [Asked if r15group = 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: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15dvby3


Variable label: How afraid of a new terrorist attack in Norway.
Literal question: To what extent do you fear that there will be a new terrorist attack in Norway?
Technical description: [Asked if r15group = 2 ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great extent 61 4.6% 0.046317388
2 To a great extent 236 17.9% 0.179195140
3 Somewhat 617 46.8% 0.468488990
4 Slightly 367 27.9% 0.278663629
5 Not at all 32 2.4% 0.024297646
97 Not answered 4 0.3% 0.003037206
98 Not asked 6788 NA


r15km66_ran


Variable label: [Randomizes if r15group = 2. Background variable. Randomly selects value for r15km66.]
Technical description:

[Randomizes if r15group = 2. Background variable. Randomly selects value for r15km66.]

1 = “Production of oil and gas is an important industry for Norway. The industry provides many jobs and considerable income for society. At the same time, burning fossil energy is the main cause of climate change and activities on the Norwegian continental shelf contribute about 1/4 of Norway’s greenhouse gas emissions. Opening new areas is also controversial because it can affect life in the sea and at the ice edge. The political parties have different opinions about how the petroleum industry should be developed over the next 20 to 30 years. There is disagreement over both how large the industry should be and whether new areas should be opened.” 2 = “The political parties have different opinions about how the petroleum industry should be developed over the next 20 to 30 years. There is disagreement over how large the industry should be and whether new areas should be opened.”
Technical attributes: [Question type: -] [Format:numeric] [Valid:1315] [Invalid:6790] [Range:1-2]

Value Label Cases Percentage
1 Production of oil and gas is an important industry for Norway.[...] [See interview instructions in codebook for full text] 673 51.2% 0.5117871
2 The political parties have different opinions about how the petroleum industry should be developed over the next 20 to 30 years. [...] [See interviewer instructions in codebook for full text]] 642 48.8% 0.4882129
Sysmiss 6790 NA


r15km66_ran2


Variable label: [Randomizes if r15group = 2. Background variable. Specifies the direction (order) of the response options to r15km66. The direction is randomized.]
Technical description: [Randomizes if r15group = 2. Background variable. Specifies the direction (order) of the response options to r15km66. The direction is randomized.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1315] [Invalid:6790] [Range:1-2]

Value Label Cases Percentage
1 Normal 646 49.1% 0.4912548
2 Reversed 669 50.9% 0.5087452
Sysmiss 6790 NA


r15km66


Variable label: Discontinue/continue the oil industry. Answer list order randomized.
Pre-question text: [Production of oil and gas is an important industry for Norway. The industry provides many jobs and considerable income for society. At the same time, burning fossil energy is the main cause of climate change and activities on the Norwegian continental shelf contribute about 1/4 of Norway’s greenhouse gas emissions. Opening new areas is also controversial because it can affect life in the sea and at the ice edge. /The political parties have different opinions about how the petroleum industry should be developed over the next 20 to 30 years. There is disagreement over both how large the industry should be and whether new areas should be opened.]
Literal question: Which of the following alternatives is closest to your view?
Technical description: [Asked if r15group = 2. The wording of the question depends on the randomized value in r15km66_ran. The order of the response options is randomized. See r15km66_ran2.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 In 20 to 30 years, the industry should be as developed as possible. We should open up to new search areas and if possible facilitate further growth. 82 6.2% 0.062262718
2 In 20 to 30 years, the industry should be as developed as it is today. We should make environmental considerations like we do today, and open up new search areas where environmentally justifiable, while encouraging to maintain the industry. 422 32.0% 0.320425209
3 In 20 to 30 years, the industry should be less developed than today. We should therefore not open up new areas, and searches should be limited to areas where activity has already been established. 374 28.4% 0.283978740
4 In 20 to 30 years, the industry should be considerably less developed than today. We should therefore not allow searches for new resources, and we should only permit production in existing fields until they have been depleted. 312 23.7% 0.236902050
5 In 20 to 30 years, the industry should be discontinued. We should therefore not allow searches for new fields. The production in existing fields should be reduced considerably within the next 5 years and closed down within the course of the time period. 119 9.0% 0.090356872
97 Not answered 8 0.6% 0.006074412
98 Not asked 6788 NA


r15kmmot


Variable label: Have you changed your way of living because of climate change.
Pre-question text: In previous surveys, we have seen that many Norwegian citizens are willing to change their way of life to limit harmful climate change.
Literal question: Have you changed your way of life to help limit harmful climate change?
Technical description: [Asked if r15group = 2 and r15kmmot = 1 or 2. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Yes, a lot 114 8.7% 0.086560364
2 Yes, a little 955 72.5% 0.725132878
3 No 242 18.4% 0.183750949
97 Not answered 6 0.5% 0.004555809
98 Not asked 6788 NA


r15kmmot_open


Variable label: Open, motivation for [R15KMMOT] if yes. [Data withheld for the sake of anonymity]
Literal question: We would like you to tell us what has motivated you to change your way of life.
Post-question: All replies would be welcome, preferably a couple of sentences, or just a few words if you would prefer.
Technical description: [Asked if r15group = 2 and r15kmmot = 1 or 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: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15kmmot_open2


Variable label: Open, motivation for [R15KMMOT] if no. [Data withheld for the sake of anonymity]
Literal question: We would like you to tell us what has motivated you to change your way of life.
Post-question: All replies would be welcome, preferably a couple of sentences, or just a few words if you would prefer.
Technical description: [Asked if r15group = 2 and r15kmmot = 3. ] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15km_a


Variable label: Heard about IPCC’s report on the consequences of global warming.
Pre-question text: The UN Intergovernmental Panel on Climate Change, IPCC is an international working group of scientists who regularly publish reports to summarize scientific assessment on climate change. In October 2018, they published a special report on the impact of global warming exceeding 1.5 degrees.
Literal question: Have you heard about this report?
Technical description: [Asked if r15group = 2. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 982 74.6% 0.745634017
2 No 327 24.8% 0.248291572
97 Not answered 8 0.6% 0.006074412
98 Not asked 6788 NA


r15km_a_open


Variable label: Open [R15KM_a]: What have you learned from or about the report [Data withheld for the sake of anonymity]
Literal question: What have you learned from or about this report?
Post-question: All replies would be welcome, preferably a couple of sentences, or just a few words if you prefer.
Technical description: [Asked if r15group = 2 and r15km_a = 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: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15km_b


Variable label: For/against: Radical action against climate change.
Pre-question text: In many parts of the world, groups of citizens have been engaging in various forms of civil disobedience and protest with the aim of pressuring their governments and leaders to take more drastic measures against climate change and carbon emissions.
Literal question: To what extent do you support or oppose people engaging in non-violent civil disobedience and protests to pressure government representatives to act against climate change?
Technical description: [Asked if r15group = 2. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly oppose 37 2.8% 0.028094153
2 Oppose 62 4.7% 0.047076689
3 Somewhat oppose 105 8.0% 0.079726651
4 Neither support nor oppose 248 18.8% 0.188306758
5 Somewhat support 291 22.1% 0.220956720
6 Support 364 27.6% 0.276385725
7 Strongly support 202 15.3% 0.153378891
97 Not answered 8 0.6% 0.006074412
98 Not asked 6788 NA


r15km_b2


Variable label: How likely to participate in radical action against climate change next 12 months.
Literal question: How likely would you be, over the next 12 months, to participate in a protest for increased action by the government against climate change?
Technical description: [Asked if r15group = 2. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not likely at all 392 29.8% 0.297646166
2 Not likely 556 42.2% 0.422171602
3 Somewhat likely 235 17.8% 0.178435839
4 Likely 91 6.9% 0.069096431
5 Very likely 37 2.8% 0.028094153
97 Not answered 6 0.5% 0.004555809
98 Not asked 6788 NA


r15km_c_1


Variable label: For/against climate action: Public money to renewable energy.
Pre-question text: Various policies might be used to reduce climate change or deal with its effects. To what extent do you support or oppose the following policies in Norway?
Literal question: Using public money to extend renewable energy, such as wind and solar power.
Technical description: [Asked if r15group = 2. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly oppose 40 3.0% 0.030372058
2 Oppose 37 2.8% 0.028094153
3 Somewhat oppose 49 3.7% 0.037205771
4 Neither support nor oppose 82 6.2% 0.062262718
5 Somewhat support 258 19.6% 0.195899772
6 Support 531 40.3% 0.403189066
7 Strongly support 308 23.4% 0.233864844
97 Not answered 12 0.9% 0.009111617
98 Not asked 6788 NA


r15km_c_2


Variable label: For/against climate action: Law demanding money from frequent flyers.
Pre-question text: Various policies might be used to reduce climate change or deal with its effects. To what extent do you support or oppose the following policies in Norway?
Literal question: A law requiring additional charges on people who fly more than twice a year (a ‘frequent flyer levy’).
Technical description: [Asked if r15group = 2. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly oppose 206 15.6% 0.156416097
2 Oppose 248 18.8% 0.188306758
3 Somewhat oppose 129 9.8% 0.097949886
4 Neither support nor oppose 182 13.8% 0.138192863
5 Somewhat support 221 16.8% 0.167805619
6 Support 194 14.7% 0.147304480
7 Strongly support 127 9.6% 0.096431283
97 Not answered 10 0.8% 0.007593014
98 Not asked 6788 NA


r15km_c_3


Variable label: For/against climate action: Carbon tax on high-emission food items.
Pre-question text: Various policies might be used to reduce climate change or deal with its effects. To what extent do you support or oppose the following policies in Norway?
Literal question: A carbon tax on food items with high emissions, such as beef and dairy products.
Technical description: [Asked if r15group = 2. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly oppose 258 19.6% 0.195899772
2 Oppose 288 21.9% 0.218678815
3 Somewhat oppose 169 12.8% 0.128321944
4 Neither support nor oppose 170 12.9% 0.129081245
5 Somewhat support 199 15.1% 0.151100987
6 Support 147 11.2% 0.111617312
7 Strongly support 76 5.8% 0.057706910
97 Not answered 10 0.8% 0.007593014
98 Not asked 6788 NA


r15meme1


Variable label: Open: What do you think is required for a person to be counted as a Norwegian. [Data withheld for the sake of anonymity]
Literal question: In your opinion, what should a person have in place before they can be regarded as Norwegian?
Post-question: You can write as much or as little as you want, preferably a few sentences, or just a few words if you would prefer.
Technical description: [Asked if r15group = 3. ] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15meme2


Variable label: Positive/negative to dual citizenship in Norway.
Literal question: What is your opinion regarding the possibility of dual citizenship in Norway?
Technical description: [Asked if r15group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very positive 146 10.9% 0.109281437
2 Positive 348 26.0% 0.260479042
3 Somewhat positive 164 12.3% 0.122754491
4 Neither negative nor positive 323 24.2% 0.241766467
5 Somewhat negative 159 11.9% 0.119011976
6 Negative 114 8.5% 0.085329341
7 Very negative 77 5.8% 0.057634731
97 Not answered 5 0.4% 0.003742515
98 Not asked 6769 NA


r15meme3


Variable label: Dual citizenship applicable to you or your close family.
Literal question: Is dual citizenship applicable to you or someone in your immediate family?
Technical description: [Asked if r15group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Yes, for myself and someone in my family 79 5.9% 0.059131737
2 Yes, for myself 30 2.2% 0.022455090
3 Yes, for someone in my family 232 17.4% 0.173652695
4 No 988 74.0% 0.739520958
97 Not answered 7 0.5% 0.005239521
98 Not asked 6769 NA


r15meme4


Variable label: For/against: Change that one parent must be a citizen for a child to become citizen at birth.
Literal question: In order for a child to become a Norwegian citizen at birth, one parent must be a Norwegian citizen. Do you think this arrangement should be changed so that one automatically becomes a Norwegian citizen at birth, or should the current arrangement be maintained?
Technical description: [Asked if r15group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Strongly support to change the arrangement 89 6.7% 0.06661677
2 Somewhat support to change the arrangement 284 21.3% 0.21257485
3 Somewhat support to maintain the arrangement 412 30.8% 0.30838323
4 Strongly support to maintain the arrangement 535 40.0% 0.40044910
97 Not answered 16 1.2% 0.01197605
98 Not asked 6769 NA


r15meme5


Variable label: For/against: Change that non-citizens can vote at local elections.
Literal question: Presently, one can vote in local and county council elections even if you are not a Norwegian citizen. Do you think this arrangement should be changed so that one must be a Norwegian citizen to vote in local elections, or should the current arrangement be maintained?
Technical description: [Asked if r15group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Strongly support to change the arrangement 329 24.6% 0.24625749
2 Somewhat support to change the arrangement 244 18.3% 0.18263473
3 Somewhat support to maintain the arrangement 350 26.2% 0.26197605
4 Strongly support to maintain the arrangement 396 29.6% 0.29640719
97 Not answered 17 1.3% 0.01272455
98 Not asked 6769 NA


r15meme6a_1


Variable label: I consider myself: Norwegian.
Pre-question text: Public statistics, legislation and social debate provide several different definitions of what it means to be Norwegian and what it means to be an immigrant in Norway. Here are some questions about how you see yourself and how you experience being seen by others regarding this. It is possible to tick more than one alternative.
Literal question: I think of myself as:
Technical description: [Asked if r15group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Norwegian 1263 94.5% 0.945359281
97 Not answered 2 0.1% 0.001497006
98 Not asked 6769 NA
0 71 5.3% 0.053143713


r15meme6a_2


Variable label: I consider myself: Immigrant to Norway.
Pre-question text: Public statistics, legislation and social debate provide several different definitions of what it means to be Norwegian and what it means to be an immigrant in Norway. Here are some questions about how you see yourself and how you experience being seen by others regarding this. It is possible to tick more than one alternative.
Literal question: I think of myself as:
Technical description: [Asked if r15group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 An immigrant in Norway 64 4.8% 0.047904192
97 Not answered 2 0.1% 0.001497006
98 Not asked 6769 NA
0 1270 95.1% 0.950598802


r15meme6a_3


Variable label: I consider myself: Other.
Pre-question text: Public statistics, legislation and social debate provide several different definitions of what it means to be Norwegian and what it means to be an immigrant in Norway. Here are some questions about how you see yourself and how you experience being seen by others regarding this. It is possible to tick more than one alternative.
Literal question: I think of myself as:
Technical description: [Asked if r15group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Other: 34 2.5% 0.025449102
97 Not answered 2 0.1% 0.001497006
98 Not asked 6769 NA
0 1300 97.3% 0.973053892


r15meme6a_3_other


Variable label: Other [R15MEME6A_3].[Data withheld for the sake of anonymity]
Pre-question text: Public statistics, legislation and social debate provide several different definitions of what it means to be Norwegian and what it means to be an immigrant in Norway. Here are some questions about how you see yourself and how you experience being seen by others regarding this. It is possible to tick more than one alternative.
Literal question: I think of myself as:
Technical description: [Asked if r15group = 3. ] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15meme6b_1


Variable label: Others percieve me as: Norwegian.
Literal question: Other people perceive me as:
Technical description: [Asked if r15group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Norwegian 1260 94.3% 0.943113772
97 Not answered 2 0.1% 0.001497006
98 Not asked 6769 NA
0 74 5.5% 0.055389222


r15meme6b_2


Variable label: Others percieve me as: Immigrant to Norway.
Literal question: Other people perceive me as:
Technical description: [Asked if r15group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 An immigrant in Norway 68 5.1% 0.050898204
97 Not answered 2 0.1% 0.001497006
98 Not asked 6769 NA
0 1266 94.8% 0.947604790


r15meme6b_3


Variable label: Others percieve me as: Other.
Literal question: Other people perceive me as:
Technical description: [Asked if r15group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Other: 30 2.2% 0.022455090
97 Not answered 2 0.1% 0.001497006
98 Not asked 6769 NA
0 1304 97.6% 0.976047904


r15meme6b_3_other


Variable label: Other [R15MEME6B_3].[Data withheld for the sake of anonymity]
Literal question: Other people perceive me as:
Technical description: [Asked if r15group = 3. ] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15meme6c_1


Variable label: I prefer to be perceived as: Norwegian.
Literal question: I prefer to be perceived by other people as:
Technical description: [Asked if r15group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Norwegian 1235 92.4% 0.924401198
97 Not answered 2 0.1% 0.001497006
98 Not asked 6769 NA
0 99 7.4% 0.074101796


r15meme6c_2


Variable label: I prefer to be perceived as: Immigrant to Norway.
Literal question: I prefer to be perceived by other people as:
Technical description: [Asked if r15group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 An immigrant in Norway 43 3.2% 0.032185629
97 Not answered 2 0.1% 0.001497006
98 Not asked 6769 NA
0 1291 96.6% 0.966317365


r15meme6c_3


Variable label: I prefer to be perceived as: Other.
Literal question: I prefer to be perceived by other people as:
Technical description: [Asked if r15group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Other: 68 5.1% 0.050898204
97 Not answered 2 0.1% 0.001497006
98 Not asked 6769 NA
0 1266 94.8% 0.947604790


r15meme6c_3_other


Variable label: Other [R15MEME6C_3].[Data withheld for the sake of anonymity]
Literal question: I prefer to be perceived by other people as:
Technical description: [Asked if r15group = 3. ] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15meme7_a_ran


Variable label: [Randomizes if r15group = 3. Background variable. Randomly selects value for r15meme7_a. ]
Technical description: [Randomizes if r15group = 3. Background variable. Randomly selects value for r15meme7_a. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1334] [Invalid:6771] [Range:1-3]

Value Label Cases Percentage
1 respected 421 31.6% 0.3155922
2 supported 466 34.9% 0.3493253
3 preserved 447 33.5% 0.3350825
Sysmiss 6771 NA


r15meme7_a


Variable label: Agree/disagree: Muslims in Norway have the right to have culture and tradition [respected/supported/preserved].
Pre-question text: To what extent do you agree or disagree with the following assertion:
Literal question: Muslims in Norway have the right to have their cultures and traditions [respected/supported/preserved].
Technical description: [Asked if r15group = 3. Experiment. The wording of the question depends on the values of r15meme7_a_ran.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 123 9.2% 0.092065868
2 Agree 297 22.2% 0.222305389
3 Agree somewhat 351 26.3% 0.262724551
4 Neither agree nor disagree 113 8.5% 0.084580838
5 Disagree somewhat 191 14.3% 0.142964072
6 Disagree 138 10.3% 0.103293413
7 Strongly disagree 115 8.6% 0.086077844
97 Not answered 8 0.6% 0.005988024
98 Not asked 6769 NA


r15meme7_b_ran


Variable label: [Randomizes if r15group = 3. Background variable. Randomly selects value for r15meme7_b. ]
Technical description: [Randomizes if r15group = 3. Background variable. Randomly selects value for r15meme7_b. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1334] [Invalid:6771] [Range:1-5]

Value Label Cases Percentage
1 New school textbooks should be added 268 20.1% 0.2008996
2 school textbooks should be broadened 264 19.8% 0.1979010
3 school textbooks should be updated 269 20.2% 0.2016492
4 school textbooks should be changed 242 18.1% 0.1814093
5 school textbooks should be written 291 21.8% 0.2181409
Sysmiss 6771 NA


r15meme7_b


Variable label: Agree/disagree: School books should be [added/broadened/updated/changed/written] to reflect religious diversity.
Pre-question text: To what extent do you agree or disagree with the following assertion:
Literal question: [New school textbooks should be added/school textbooks should be broadened/school textbooks should be updated/school textbooks should be changed/school textbooks should be written] to reflect the new cultural and religious diversity in Norway.
Technical description: [Asked if r15group = 3. Experiment. The wording of the question depends on the values of r15meme7_b_ran.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 173 12.9% 0.129491018
2 Agree 388 29.0% 0.290419162
3 Agree somewhat 303 22.7% 0.226796407
4 Neither agree nor disagree 117 8.8% 0.087574850
5 Disagree somewhat 126 9.4% 0.094311377
6 Disagree 127 9.5% 0.095059880
7 Strongly disagree 94 7.0% 0.070359281
97 Not answered 8 0.6% 0.005988024
98 Not asked 6769 NA


r15meme8_ran1


Variable label: [Randomizes if r15group = 3. Background variable. Randomly selects value for r15meme8. ]
Technical description: [Randomizes if r15group = 3. Background variable. Randomly selects value for r15meme8. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1334] [Invalid:6771] [Range:1-2]

Value Label Cases Percentage
1 should 690 51.7% 0.5172414
2 should be allowed to 644 48.3% 0.4827586
Sysmiss 6771 NA


r15meme8_ran2


Variable label: [Randomizes if r15group = 3. Background variable. Randomly selects value for r15meme8. ]
Technical description: [Randomizes if r15group = 3. Background variable. Randomly selects value for r15meme8. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1334] [Invalid:6771] [Range:1-3]

Value Label Cases Percentage
1 Christianity 458 34.3% 0.3433283
2 Islam 454 34.0% 0.3403298
3 Christianity, Islam and other religions 422 31.6% 0.3163418
Sysmiss 6771 NA


r15meme8


Variable label: Agree/disagree: Schools [should/should be allowed to] teach [Christianity/Islam/Christianity, Islam, and other religions].
Pre-question text: To what extent do you agree or disagree with the following assertion:
Literal question: Schools [should/should be allowed to] teach students about the history of and some of the ideas within [Christianity/Islam/Christianity, Islam and other religions].
Technical description: [Asked if r15group = 3. Experiment. The wording of the question depends on the values of r15meme7_b_ran.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 343 25.7% 0.256736527
2 Agree 523 39.1% 0.391467066
3 Agree somewhat 229 17.1% 0.171407186
4 Neither agree nor disagree 85 6.4% 0.063622754
5 Disagree somewhat 66 4.9% 0.049401198
6 Disagree 49 3.7% 0.036676647
7 Strongly disagree 34 2.5% 0.025449102
97 Not answered 7 0.5% 0.005239521
98 Not asked 6769 NA


r15meme10a_1


Variable label: Like/dislike group: Swedes.
Pre-question text: Below is a list of different groups. Please indicate how much you like or dislike each group:
Literal question: Swedes
Technical description: [Asked if r15group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 3 0.2% 0.002245509
2 Really dislike 4 0.3% 0.002994012
3 Dislike somewhat 9 0.7% 0.006736527
4 Neither dislike nor like 586 43.9% 0.438622754
5 Like somewhat 150 11.2% 0.112275449
6 Really like 386 28.9% 0.288922156
7 Intensely like 161 12.1% 0.120508982
97 Not answered 37 2.8% 0.027694611
98 Not asked 6769 NA


r15meme10a_2


Variable label: Like/dislike group: Muslims.
Pre-question text: Below is a list of different groups. Please indicate how much you like or dislike each group:
Literal question: Muslims
Technical description: [Asked if r15group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 67 5.0% 0.05014970
2 Really dislike 79 5.9% 0.05913174
3 Dislike somewhat 197 14.7% 0.14745509
4 Neither dislike nor like 628 47.0% 0.47005988
5 Like somewhat 135 10.1% 0.10104790
6 Really like 144 10.8% 0.10778443
7 Intensely like 49 3.7% 0.03667665
97 Not answered 37 2.8% 0.02769461
98 Not asked 6769 NA


r15meme10a_3


Variable label: Like/dislike group: Christians.
Pre-question text: Below is a list of different groups. Please indicate how much you like or dislike each group:
Literal question: Christians
Technical description: [Asked if r15group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 4 0.3% 0.002994012
2 Really dislike 14 1.0% 0.010479042
3 Dislike somewhat 77 5.8% 0.057634731
4 Neither dislike nor like 631 47.2% 0.472305389
5 Like somewhat 168 12.6% 0.125748503
6 Really like 281 21.0% 0.210329341
7 Intensely like 121 9.1% 0.090568862
97 Not answered 40 3.0% 0.029940120
98 Not asked 6769 NA


r15meme10a_4


Variable label: Like/dislike group: Immigrants.
Pre-question text: Below is a list of different groups. Please indicate how much you like or dislike each group:
Literal question: Immigrants
Technical description: [Asked if r15group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 15 1.1% 0.01122754
2 Really dislike 24 1.8% 0.01796407
3 Dislike somewhat 112 8.4% 0.08383234
4 Neither dislike nor like 689 51.6% 0.51571856
5 Like somewhat 180 13.5% 0.13473054
6 Really like 231 17.3% 0.17290419
7 Intensely like 50 3.7% 0.03742515
97 Not answered 35 2.6% 0.02619760
98 Not asked 6769 NA


r15meme10a_5


Variable label: Like/dislike group: Jews.
Pre-question text: Below is a list of different groups. Please indicate how much you like or dislike each group:
Literal question: Jews
Technical description: [Asked if r15group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 11 0.8% 0.008233533
2 Really dislike 17 1.3% 0.012724551
3 Dislike somewhat 58 4.3% 0.043413174
4 Neither dislike nor like 751 56.2% 0.562125749
5 Like somewhat 146 10.9% 0.109281437
6 Really like 230 17.2% 0.172155689
7 Intensely like 83 6.2% 0.062125749
97 Not answered 40 3.0% 0.029940120
98 Not asked 6769 NA


r15meme10a_6


Variable label: Like/dislike group: Syrians.
Pre-question text: Below is a list of different groups. Please indicate how much you like or dislike each group:
Literal question: Syrians
Technical description: [Asked if r15group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 29 2.2% 0.02170659
2 Really dislike 39 2.9% 0.02919162
3 Dislike somewhat 113 8.5% 0.08458084
4 Neither dislike nor like 738 55.2% 0.55239521
5 Like somewhat 135 10.1% 0.10104790
6 Really like 188 14.1% 0.14071856
7 Intensely like 54 4.0% 0.04041916
97 Not answered 40 3.0% 0.02994012
98 Not asked 6769 NA


r15meme10a_7


Variable label: Like/dislike group: Afghans.
Pre-question text: Below is a list of different groups. Please indicate how much you like or dislike each group:
Literal question: Afghans
Technical description: [Asked if r15group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 40 3.0% 0.02994012
2 Really dislike 40 3.0% 0.02994012
3 Dislike somewhat 117 8.8% 0.08757485
4 Neither dislike nor like 758 56.7% 0.56736527
5 Like somewhat 124 9.3% 0.09281437
6 Really like 166 12.4% 0.12425150
7 Intensely like 52 3.9% 0.03892216
97 Not answered 39 2.9% 0.02919162
98 Not asked 6769 NA


r15meme10b


Variable label: Open [R15MEME10A]. [Data withheld for the sake of anonymity]
Literal question: Please write any comments you have about the previous question here:
Technical description: [Asked if r15group = 3. ] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15meme9_1


Variable label: Describes you how well: Important to be unprejudiced about muslims.
Pre-question text: How well or poorly would you say that the following descriptions apply to you:
Literal question: It is important for me personally to be unprejudiced in regard to muslims
Technical description: [Asked if r15group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 223 16.7% 0.16691617
2 Good 429 32.1% 0.32110778
3 Quite good 192 14.4% 0.14371257
4 Neither good nor bad 311 23.3% 0.23278443
5 Quite bad 81 6.1% 0.06062874
6 Bad 42 3.1% 0.03143713
7 Very bad 21 1.6% 0.01571856
97 Not answered 37 2.8% 0.02769461
98 Not asked 6769 NA


r15meme9_2


Variable label: Describes you how well: Feel guilt if I think negatively about muslims.
Pre-question text: How well or poorly would you say that the following descriptions apply to you:
Literal question: I feel guilty if I think negatively about muslims
Technical description: [Asked if r15group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 72 5.4% 0.05389222
2 Good 182 13.6% 0.13622754
3 Quite good 163 12.2% 0.12200599
4 Neither good nor bad 517 38.7% 0.38697605
5 Quite bad 141 10.6% 0.10553892
6 Bad 131 9.8% 0.09805389
7 Very bad 83 6.2% 0.06212575
97 Not answered 47 3.5% 0.03517964
98 Not asked 6769 NA


r15meme9_3


Variable label: Describes you how well: Try to be unprejudiced about muslims because of own conviction.
Pre-question text: How well or poorly would you say that the following descriptions apply to you:
Literal question: I try to be unprejudiced in regard to muslims due to my own convictions.
Technical description: [Asked if r15group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 160 12.0% 0.11976048
2 Good 338 25.3% 0.25299401
3 Quite good 203 15.2% 0.15194611
4 Neither good nor bad 431 32.3% 0.32260479
5 Quite bad 67 5.0% 0.05014970
6 Bad 61 4.6% 0.04565868
7 Very bad 34 2.5% 0.02544910
97 Not answered 42 3.1% 0.03143713
98 Not asked 6769 NA


r15meme9_4


Variable label: Describes you how well: Do not want to appear racist, not even to myself.
Pre-question text: How well or poorly would you say that the following descriptions apply to you:
Literal question: I do not want to appear to be racist, not even to myself.
Technical description: [Asked if r15group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 330 24.7% 0.24700599
2 Good 392 29.3% 0.29341317
3 Quite good 159 11.9% 0.11901198
4 Neither good nor bad 305 22.8% 0.22829341
5 Quite bad 57 4.3% 0.04266467
6 Bad 33 2.5% 0.02470060
7 Very bad 15 1.1% 0.01122754
97 Not answered 45 3.4% 0.03368263
98 Not asked 6769 NA


r15polkom1a


Variable label: Child rearing values: Independent/Respects adults.
Pre-question text: Although there are many different qualities one believes children should have, there are always some qualities that everyone thinks are more important than others. You will now be presented with different pairs of such desirable qualities.
Literal question: Please indicate which of the two you think is most important for a child to have.
Technical description: [Asked if r15group = 1 or 2 or 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Is independent 1301 32.3% 0.3229891
2 Respects adults 2046 50.8% 0.5079444
97 Not answered 681 16.9% 0.1690665
98 Not asked 4077 NA


r15polkom1b


Variable label: Child rearing values: Curious/Polite.
Pre-question text: Although there are many different qualities one believes children should have, there are always some qualities that everyone thinks are more important than others. You will now be presented with different pairs of such desirable qualities.
Literal question: Please indicate which of the two you think is most important for a child to have.
Technical description: [Asked if r15group = 1 or 2 or 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Is curious 2633 65.4% 0.65367428
2 Is polite 1032 25.6% 0.25620655
97 Not answered 363 9.0% 0.09011917
98 Not asked 4077 NA


r15polkom1c


Variable label: Child rearing values: Obedient/Independent.
Pre-question text: Although there are many different qualities one believes children should have, there are always some qualities that everyone thinks are more important than others. You will now be presented with different pairs of such desirable qualities.
Literal question: Please indicate which of the two you think is most important for a child to have.
Technical description: [Asked if r15group = 1 or 2 or 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Is obedient 410 10.2% 0.1017875
2 Is independent 3086 76.6% 0.7661370
97 Not answered 532 13.2% 0.1320755
98 Not asked 4077 NA


r15polkom1d


Variable label: Child rearing values: Considerate/behaved properly.
Pre-question text: Although there are many different qualities one believes children should have, there are always some qualities that everyone thinks are more important than others. You will now be presented with different pairs of such desirable qualities.
Literal question: Please indicate which of the two you think is most important for a child to have.
Technical description: [Asked if r15group = 1 or 2 or 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Is considerate 2329 57.8% 0.57820258
2 Behaves properly 1412 35.1% 0.35054618
97 Not answered 287 7.1% 0.07125124
98 Not asked 4077 NA


r15polkom2_ran


Variable label: [Randomizes if r15group = 1. ]
Technical description: [Randomizes if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1373] [Invalid:6732] [Range:1-3]

Value Label Cases Percentage
1 a 438 31.9% 0.3190095
2 b 466 33.9% 0.3394028
3 c (no exposure) 469 34.2% 0.3415878
Sysmiss 6732 NA


r15polkom2a


Variable label: Exposure to political conflict between Progress Party and Labour Party: Listhaug.
Pre-question text: Please read the text below carefully. Norway has experienced various political conflicts in recent times. Being involved in one of these conflicts, Sylvi Listhaug from the Progress Party wrote that “the Labour Party believes that the rights of terrorists are more important than the nation’s security. LIKE AND SHARE!”.
Literal question: Were you previously aware of this comment?
Technical description: [Asked if r15group = 1 and r15polkom2_ran = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 402 91.8% 0.91780822
2 No 36 8.2% 0.08219178
97 Not answered 0 0.0% 0.00000000
98 Not asked 7667 NA


r15polkom2b


Variable label: Exposure to political conflict between Progress Party and Labour Party: Gahr Støre.
Pre-question text: Please read the text below carefully. Norway has experienced various political conflicts in recent times. Being involved in one of these conflicts, Jonas Gahr Støre from the Labour Party said that Sylvi Listhaug from the Progress Party “deliberately, calculatedly, kindles the hatred that took so many lives on the 22nd of July”.
Literal question: Were you previously aware of this comment?
Technical description: [Asked if r15group = 1 and r15polkom2_ran = 2. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 364 78.1% 0.781115880
2 No 99 21.2% 0.212446352
97 Not answered 3 0.6% 0.006437768
98 Not asked 7639 NA


r15polkom3_1


Variable label: Like/dislike: Labour Party voters.
Pre-question text: We would like you to rate how much you like or dislike the voters of various Norwegian political parties.
Literal question: Labour party voters
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 40 2.9% 0.02909091
2 Really dislike 62 4.5% 0.04509091
3 Dislike somewhat 143 10.4% 0.10400000
4 Neither dislike nor like 543 39.5% 0.39490909
5 Like somewhat 326 23.7% 0.23709091
6 Really like 192 14.0% 0.13963636
7 Intensely like 34 2.5% 0.02472727
97 Not answered 35 2.5% 0.02545455
98 Not asked 6730 NA


r15polkom3_2


Variable label: Like/dislike: Conservative Party voters.
Pre-question text: We would like you to rate how much you like or dislike the voters of various Norwegian political parties.
Literal question: Conservative Party voters
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 32 2.3% 0.02327273
2 Really dislike 90 6.5% 0.06545455
3 Dislike somewhat 222 16.1% 0.16145455
4 Neither dislike nor like 533 38.8% 0.38763636
5 Like somewhat 263 19.1% 0.19127273
6 Really like 160 11.6% 0.11636364
7 Intensely like 42 3.1% 0.03054545
97 Not answered 33 2.4% 0.02400000
98 Not asked 6730 NA


r15polkom3_3


Variable label: Like/dislike: Progress Party voters.
Pre-question text: We would like you to rate how much you like or dislike the voters of various Norwegian political parties.
Literal question: Progress party voters
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 214 15.6% 0.15563636
2 Really dislike 238 17.3% 0.17309091
3 Dislike somewhat 290 21.1% 0.21090909
4 Neither dislike nor like 380 27.6% 0.27636364
5 Like somewhat 132 9.6% 0.09600000
6 Really like 62 4.5% 0.04509091
7 Intensely like 25 1.8% 0.01818182
97 Not answered 34 2.5% 0.02472727
98 Not asked 6730 NA


r15polkom3_4


Variable label: Like/dislike: Christian Democratic Party voters.
Pre-question text: We would like you to rate how much you like or dislike the voters of various Norwegian political parties.
Literal question: Christian Democratic Party Voters
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 107 7.8% 0.077818182
2 Really dislike 165 12.0% 0.120000000
3 Dislike somewhat 298 21.7% 0.216727273
4 Neither dislike nor like 541 39.3% 0.393454545
5 Like somewhat 166 12.1% 0.120727273
6 Really like 55 4.0% 0.040000000
7 Intensely like 10 0.7% 0.007272727
97 Not answered 33 2.4% 0.024000000
98 Not asked 6730 NA


r15polkom3_5


Variable label: Like/dislike: Liberal Party voters.
Pre-question text: We would like you to rate how much you like or dislike the voters of various Norwegian political parties.
Literal question: Liberal Party voters
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 75 5.5% 0.05454545
2 Really dislike 107 7.8% 0.07781818
3 Dislike somewhat 213 15.5% 0.15490909
4 Neither dislike nor like 637 46.3% 0.46327273
5 Like somewhat 228 16.6% 0.16581818
6 Really like 61 4.4% 0.04436364
7 Intensely like 14 1.0% 0.01018182
97 Not answered 40 2.9% 0.02909091
98 Not asked 6730 NA


r15polkom3_6


Variable label: Like/dislike: Socialist Left Party voters.
Pre-question text: We would like you to rate how much you like or dislike the voters of various Norwegian political parties.
Literal question: Socialist Left Party voters
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 111 8.1% 0.08072727
2 Really dislike 125 9.1% 0.09090909
3 Dislike somewhat 179 13.0% 0.13018182
4 Neither dislike nor like 513 37.3% 0.37309091
5 Like somewhat 222 16.1% 0.16145455
6 Really like 153 11.1% 0.11127273
7 Intensely like 37 2.7% 0.02690909
97 Not answered 35 2.5% 0.02545455
98 Not asked 6730 NA


r15polkom3_7


Variable label: Like/dislike: Centre Party voters.
Pre-question text: We would like you to rate how much you like or dislike the voters of various Norwegian political parties.
Literal question: Centre Party voters
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 32 2.3% 0.02327273
2 Really dislike 56 4.1% 0.04072727
3 Dislike somewhat 177 12.9% 0.12872727
4 Neither dislike nor like 631 45.9% 0.45890909
5 Like somewhat 273 19.9% 0.19854545
6 Really like 135 9.8% 0.09818182
7 Intensely like 31 2.3% 0.02254545
97 Not answered 40 2.9% 0.02909091
98 Not asked 6730 NA


r15polkom3_8


Variable label: Like/dislike: Green Party voters.
Pre-question text: We would like you to rate how much you like or dislike the voters of various Norwegian political parties.
Literal question: Green Party voters
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 154 11.2% 0.11200000
2 Really dislike 152 11.1% 0.11054545
3 Dislike somewhat 190 13.8% 0.13818182
4 Neither dislike nor like 463 33.7% 0.33672727
5 Like somewhat 220 16.0% 0.16000000
6 Really like 126 9.2% 0.09163636
7 Intensely like 32 2.3% 0.02327273
97 Not answered 38 2.8% 0.02763636
98 Not asked 6730 NA


r15polkom3_9


Variable label: Like/dislike: Red Party voters.
Pre-question text: We would like you to rate how much you like or dislike the voters of various Norwegian political parties.
Literal question: Red Party voters
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 161 11.7% 0.11709091
2 Really dislike 138 10.0% 0.10036364
3 Dislike somewhat 189 13.7% 0.13745455
4 Neither dislike nor like 505 36.7% 0.36727273
5 Like somewhat 198 14.4% 0.14400000
6 Really like 115 8.4% 0.08363636
7 Intensely like 33 2.4% 0.02400000
97 Not answered 36 2.6% 0.02618182
98 Not asked 6730 NA


r15polkom3b


Variable label: Open [R15POLKOM3].[Data withheld for the sake of anonymity]
Literal question: If you have anything to add please write it here.
Technical description: [Asked if r15group = 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: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15polkom4_1


Variable label: Like/dislike supporters of: Human Rights Service.
Pre-question text: We would like you to rate how much you like or dislike the supporters of various Norwegian political organisations.
Literal question: Human Rights Service, An organisation that works towards Islamic influence and Muslim immigration to Norway
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 Intensely dislike 190 13.8% 0.13818182
2 Really dislike 220 16.0% 0.16000000
3 Dislike somewhat 206 15.0% 0.14981818
4 Neither dislike nor like 376 27.3% 0.27345455
5 Like somewhat 125 9.1% 0.09090909
6 Really like 76 5.5% 0.05527273
7 Intensely like 58 4.2% 0.04218182
8 Unaware of 90 6.5% 0.06545455
97 Not answered 34 2.5% 0.02472727
98 Not asked 6730 NA


r15polkom4_2


Variable label: Like/dislike supporters of: The Norwegian Centre Against Racism.
Pre-question text: We would like you to rate how much you like or dislike the supporters of various Norwegian political organisations.
Literal question: The Norwegian Centre against Racism, An organisation whose main objective is to fight racism and the discrimination of minorities in Norway
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 Intensely dislike 27 2.0% 0.01963636
2 Really dislike 48 3.5% 0.03490909
3 Dislike somewhat 88 6.4% 0.06400000
4 Neither dislike nor like 435 31.6% 0.31636364
5 Like somewhat 265 19.3% 0.19272727
6 Really like 283 20.6% 0.20581818
7 Intensely like 154 11.2% 0.11200000
8 Unaware of 39 2.8% 0.02836364
97 Not answered 36 2.6% 0.02618182
98 Not asked 6730 NA


r15polkom4_3


Variable label: Like/dislike supporters of: Civita.
Pre-question text: We would like you to rate how much you like or dislike the supporters of various Norwegian political organisations.
Literal question: Civita, A organisation which, among other things, doesn’t want the public sector to play a major role in Norway’s economy
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 Intensely dislike 67 4.9% 0.04872727
2 Really dislike 158 11.5% 0.11490909
3 Dislike somewhat 255 18.5% 0.18545455
4 Neither dislike nor like 518 37.7% 0.37672727
5 Like somewhat 121 8.8% 0.08800000
6 Really like 69 5.0% 0.05018182
7 Intensely like 19 1.4% 0.01381818
8 Unaware of 128 9.3% 0.09309091
97 Not answered 40 2.9% 0.02909091
98 Not asked 6730 NA


r15polkom4_4


Variable label: Like/dislike supporters of: Agenda.
Pre-question text: We would like you to rate how much you like or dislike the supporters of various Norwegian political organisations.
Literal question: Agenda, An organisation which, among other things, wants the public sector to play a major role in Norway’s economy
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 Intensely dislike 26 1.9% 0.01890909
2 Really dislike 46 3.3% 0.03345455
3 Dislike somewhat 125 9.1% 0.09090909
4 Neither dislike nor like 540 39.3% 0.39272727
5 Like somewhat 241 17.5% 0.17527273
6 Really like 152 11.1% 0.11054545
7 Intensely like 56 4.1% 0.04072727
8 Unaware of 152 11.1% 0.11054545
97 Not answered 37 2.7% 0.02690909
98 Not asked 6730 NA


r15polkom5_1


Variable label: Like/dislike people who: Support a multicultural society.
Pre-question text: We would like you to rate how much you like or dislike people who
Literal question: Support a multicultural society
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 37 2.7% 0.02690909
2 Really dislike 47 3.4% 0.03418182
3 Dislike somewhat 136 9.9% 0.09890909
4 Neither dislike nor like 367 26.7% 0.26690909
5 Like somewhat 334 24.3% 0.24290909
6 Really like 324 23.6% 0.23563636
7 Intensely like 97 7.1% 0.07054545
97 Not answered 33 2.4% 0.02400000
98 Not asked 6730 NA


r15polkom5_2


Variable label: Like/dislike people who: Oppose a multicultural society.
Pre-question text: We would like you to rate how much you like or dislike people who
Literal question: Are against a multicultural society
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 204 14.8% 0.14836364
2 Really dislike 310 22.5% 0.22545455
3 Dislike somewhat 337 24.5% 0.24509091
4 Neither dislike nor like 337 24.5% 0.24509091
5 Like somewhat 89 6.5% 0.06472727
6 Really like 44 3.2% 0.03200000
7 Intensely like 21 1.5% 0.01527273
97 Not answered 33 2.4% 0.02400000
98 Not asked 6730 NA


r15polkom5_3


Variable label: Like/dislike people who: Think the state should drastically decrease income- and wealth taxation.
Pre-question text: We would like you to rate how much you like or dislike people who
Literal question: Believe the state must drastically lower income tax and wealth tax rates
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 84 6.1% 0.06109091
2 Really dislike 190 13.8% 0.13818182
3 Dislike somewhat 276 20.1% 0.20072727
4 Neither dislike nor like 488 35.5% 0.35490909
5 Like somewhat 193 14.0% 0.14036364
6 Really like 87 6.3% 0.06327273
7 Intensely like 25 1.8% 0.01818182
97 Not answered 32 2.3% 0.02327273
98 Not asked 6730 NA


r15polkom5_4


Variable label: Like/dislike people who: Think the state should drastically increase income- and wealth taxation.
Pre-question text: We would like you to rate how much you like or dislike people who
Literal question: Believe the state must drastically raise income tax and wealth tax rates
Technical description: [Asked if r15group = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 159 11.6% 0.11563636
2 Really dislike 205 14.9% 0.14909091
3 Dislike somewhat 278 20.2% 0.20218182
4 Neither dislike nor like 421 30.6% 0.30618182
5 Like somewhat 183 13.3% 0.13309091
6 Really like 79 5.7% 0.05745455
7 Intensely like 18 1.3% 0.01309091
97 Not answered 32 2.3% 0.02327273
98 Not asked 6730 NA


r15polkom6_ran1


Variable label: [Randomizes if r15group = 3. Background variable. Randomly selects value for r15polkom6. ]
Technical description: [Randomizes if r15group = 3. Background variable. Randomly selects value for r15polkom6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1323] [Invalid:6782] [Range:1-2]

Value Label Cases Percentage
1 Did you partake in the following last week? Read 664 50.2% 0.5018896
2 do you usually partake in the following during the week? Reading 659 49.8% 0.4981104
Sysmiss 6782 NA


r15polkom6_ran2


Variable label: [Randomizes if r15group = 3. Background variable. Randomly selects value for r15polkom6. ]
Technical description: [Randomizes if r15group = 3. Background variable. Randomly selects value for r15polkom6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1323] [Invalid:6782] [Range:1-2]

Value Label Cases Percentage
1 news 659 49.8% 0.4981104
2 political news 664 50.2% 0.5018896
Sysmiss 6782 NA


r15polkom6


Variable label: How often [last week/usually] do you read [news/political news].
Literal question: How many days [Did you parttake in the following last week? Read/Do you usually parttake in the following during the week? Reading][news/political news] in the form of newspapers, online newspapers or on your mobile phone?
Technical description: [Asked if r15group = 3. Experiment. The wording of the question depends on the values of r15polkom6_ran1 and r15polkom6_ran2. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 7 days 868 65.0% 0.64970060
2 6 days 126 9.4% 0.09431138
3 5 days 99 7.4% 0.07410180
4 4 days 55 4.1% 0.04116766
5 3 days 57 4.3% 0.04266467
6 2 days 37 2.8% 0.02769461
7 1 days 43 3.2% 0.03218563
8 0 days 31 2.3% 0.02320359
97 Not answered 20 1.5% 0.01497006
98 Not asked 6769 NA


r15km_bompeng1


Variable label: Acceptable that the government finances infrastructure with road rolls.
Literal question: Do you find it acceptable that the authorities use tolls to fund roads, bridges, tunnels and public transport?
Technical description: [Asked if r15group = 4. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 yes 824 61.2% 0.611729770
2 No 421 31.3% 0.312546399
3 Don't know 71 5.3% 0.052709725
4 No opinion 15 1.1% 0.011135857
5 No response 12 0.9% 0.008908686
97 Not answered 4 0.3% 0.002969562
98 Not asked 6758 NA


r15km_bompeng1_open


Variable label: Open [R15KM_BOMPENG1].[Data withheld for the sake of anonymity]
Literal question: Please could you write a little bit about why you chose this alternative as your answer.. Preferably a few sentences, or just a few words if you would prefer.
Technical description: [Asked if r15group = 4 and r15km_bompeng1 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: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15helse1


Variable label: How satisfied with your life at the moment.
Pre-question text: The next questions deal with your life and your health. This is part of a research project that focuses on quality of life and compares with international research. Therefore, these questions are a bit different than ones usually found in the Norwegian Citizen Panel, and have different response scales than the ones normally used. If you don’t want to answer a question, you can skip the question by clicking “next”. Click on next to proceed.
Literal question: All things considered, how satisfied are you with your life at the present time?
Technical description: [Asked if r15group = 4. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 0 - Not pleased at all 2 0.1% 0.001484781
1 1 7 0.5% 0.005196733
2 2 11 0.8% 0.008166295
3 3 24 1.8% 0.017817372
4 4 48 3.6% 0.035634744
5 5 90 6.7% 0.066815145
6 6 122 9.1% 0.090571641
7 7 268 19.9% 0.198960653
8 8 409 30.4% 0.303637713
9 9 181 13.4% 0.134372680
10 10 - Very pleased 180 13.4% 0.133630290
97 Not answered 5 0.4% 0.003711952
98 Not asked 6758 NA


r15helse2


Variable label: To what degree do you experience what you do in life as meaningful.
Literal question: All things considered, to what extent do you experience that what you do in life is meaningful?
Technical description: [Asked if r15group = 4. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 0 - Not meaningful at all 6 0.4% 0.004454343
1 1 5 0.4% 0.003711952
2 2 14 1.0% 0.010393467
3 3 26 1.9% 0.019302153
4 4 45 3.3% 0.033407572
5 5 81 6.0% 0.060133630
6 6 134 9.9% 0.099480327
7 7 275 20.4% 0.204157387
8 8 370 27.5% 0.274684484
9 9 178 13.2% 0.132145509
10 10 - Very meaningful 206 15.3% 0.152932442
97 Not answered 7 0.5% 0.005196733
98 Not asked 6758 NA


r15helse3_1


Variable label: Last 7 days, to what extent were you: Happy.
Pre-question text: Think about how you have felt during the last 7 days. To what extent were you….?
Literal question: Happy
Technical description: [Asked if r15group = 4. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 0 - Not at all 8 0.6% 0.005939124
1 1 7 0.5% 0.005196733
2 2 16 1.2% 0.011878248
3 3 40 3.0% 0.029695620
4 4 50 3.7% 0.037119525
5 5 134 9.9% 0.099480327
6 6 168 12.5% 0.124721604
7 7 242 18.0% 0.179658500
8 8 303 22.5% 0.224944321
9 9 191 14.2% 0.141796585
10 10 -To a great extent 151 11.2% 0.112100965
97 Not answered 37 2.7% 0.027468448
98 Not asked 6758 NA


r15helse3_2


Variable label: Last 7 days, to what extent were you: Worried.
Pre-question text: Think about how you have felt during the last 7 days. To what extent were you….?
Literal question: Worried
Technical description: [Asked if r15group = 4. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 0 - Not at all 111 8.2% 0.08240535
1 1 140 10.4% 0.10393467
2 2 206 15.3% 0.15293244
3 3 203 15.1% 0.15070527
4 4 114 8.5% 0.08463252
5 5 155 11.5% 0.11507053
6 6 118 8.8% 0.08760208
7 7 108 8.0% 0.08017817
8 8 68 5.0% 0.05048255
9 9 37 2.7% 0.02746845
10 10 -To a great extent 28 2.1% 0.02078693
97 Not answered 59 4.4% 0.04380104
98 Not asked 6758 NA


r15helse3_3


Variable label: Last 7 days, to what extent were you: Down or sad.
Pre-question text: Think about how you have felt during the last 7 days. To what extent were you….?
Literal question: Down or sad
Technical description: [Asked if r15group = 4. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 0 - Not at all 324 24.1% 0.24053452
1 1 222 16.5% 0.16481069
2 2 189 14.0% 0.14031180
3 3 146 10.8% 0.10838901
4 4 72 5.3% 0.05345212
5 5 108 8.0% 0.08017817
6 6 81 6.0% 0.06013363
7 7 66 4.9% 0.04899777
8 8 30 2.2% 0.02227171
9 9 18 1.3% 0.01336303
10 10 -To a great extent 18 1.3% 0.01336303
97 Not answered 73 5.4% 0.05419451
98 Not asked 6758 NA


r15helse3_4


Variable label: Last 7 days, to what extent were you: Irritated.
Pre-question text: Think about how you have felt during the last 7 days. To what extent were you….?
Literal question: Irritated
Technical description: [Asked if r15group = 4. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 0 - Not at all 172 12.8% 0.127691166
1 1 198 14.7% 0.146993318
2 2 232 17.2% 0.172234595
3 3 188 14.0% 0.139569414
4 4 136 10.1% 0.100965108
5 5 110 8.2% 0.081662955
6 6 88 6.5% 0.065330364
7 7 89 6.6% 0.066072754
8 8 36 2.7% 0.026726058
9 9 18 1.3% 0.013363029
10 10 -To a great extent 9 0.7% 0.006681514
97 Not answered 71 5.3% 0.052709725
98 Not asked 6758 NA


r15helse3_5


Variable label: Last 7 days, to what extent were you: Lonely.
Pre-question text: Think about how you have felt during the last 7 days. To what extent were you….?
Literal question: Lonely
Technical description: [Asked if r15group = 4. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 0 - Not at all 589 43.7% 0.43726800
1 1 187 13.9% 0.13882702
2 2 133 9.9% 0.09873794
3 3 77 5.7% 0.05716407
4 4 55 4.1% 0.04083148
5 5 68 5.0% 0.05048255
6 6 53 3.9% 0.03934670
7 7 50 3.7% 0.03711952
8 8 26 1.9% 0.01930215
9 9 19 1.4% 0.01410542
10 10 -To a great extent 16 1.2% 0.01187825
97 Not answered 74 5.5% 0.05493690
98 Not asked 6758 NA


r15helse3_6


Variable label: Last 7 days, to what extent were you: Enthusiastic.
Pre-question text: Think about how you have felt during the last 7 days. To what extent were you….?
Literal question: Enthusiastic
Technical description: [Asked if r15group = 4. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 0 - Not at all 13 1.0% 0.009651076
1 1 26 1.9% 0.019302153
2 2 32 2.4% 0.023756496
3 3 70 5.2% 0.051967335
4 4 110 8.2% 0.081662955
5 5 184 13.7% 0.136599852
6 6 173 12.8% 0.128433556
7 7 240 17.8% 0.178173719
8 8 223 16.6% 0.165553081
9 9 128 9.5% 0.095025984
10 10 -To a great extent 82 6.1% 0.060876021
97 Not answered 66 4.9% 0.048997773
98 Not asked 6758 NA


r15helse3_7


Variable label: Last 7 days, to what extent were you: Calm and relaxed.
Pre-question text: Think about how you have felt during the last 7 days. To what extent were you….?
Literal question: Calm and relaxed
Technical description: [Asked if r15group = 4. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 0 - Not at all 11 0.8% 0.008166295
1 1 24 1.8% 0.017817372
2 2 50 3.7% 0.037119525
3 3 67 5.0% 0.049740163
4 4 93 6.9% 0.069042316
5 5 204 15.1% 0.151447661
6 6 164 12.2% 0.121752042
7 7 215 16.0% 0.159613957
8 8 228 16.9% 0.169265033
9 9 134 9.9% 0.099480327
10 10 -To a great extent 95 7.1% 0.070527097
97 Not answered 62 4.6% 0.046028211
98 Not asked 6758 NA


r15helse3_8


Variable label: Last 7 days, to what extent were you: Anxious.
Pre-question text: Think about how you have felt during the last 7 days. To what extent were you….?
Literal question: Anxious
Technical description: [Asked if r15group = 4. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 0 - Not at all 395 29.3% 0.29324425
1 1 269 20.0% 0.19970304
2 2 158 11.7% 0.11729770
3 3 110 8.2% 0.08166295
4 4 65 4.8% 0.04825538
5 5 98 7.3% 0.07275427
6 6 58 4.3% 0.04305865
7 7 61 4.5% 0.04528582
8 8 34 2.5% 0.02524128
9 9 16 1.2% 0.01187825
10 10 -To a great extent 17 1.3% 0.01262064
97 Not answered 66 4.9% 0.04899777
98 Not asked 6758 NA


r15helse4_1


Variable label: Agree/disagree: My social relations are supportive and rewarding.
Pre-question text: To what extent do you agree with the assertions below?
Literal question: My social relationships are supportive and rewarding.
Technical description: [Asked if r15group = 4. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 0 - Completely disagree 9 0.7% 0.006681514
1 1 7 0.5% 0.005196733
2 2 17 1.3% 0.012620638
3 3 36 2.7% 0.026726058
4 4 43 3.2% 0.031922791
5 5 139 10.3% 0.103192279
6 6 140 10.4% 0.103934670
7 7 242 18.0% 0.179658500
8 8 266 19.7% 0.197475872
9 9 175 13.0% 0.129918337
10 10 - Completely agree 249 18.5% 0.184855234
97 Not answered 24 1.8% 0.017817372
98 Not asked 6758 NA


r15helse4_2


Variable label: Agree/disagree: I contribute actively to other peoples’ happiness and life quality.
Pre-question text: To what extent do you agree with the assertions below?
Literal question: I actively contribute to the happiness and quality of life of others.
Technical description: [Asked if r15group = 4. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 0 - Completely disagree 5 0.4% 0.003711952
1 1 8 0.6% 0.005939124
2 2 30 2.2% 0.022271715
3 3 35 2.6% 0.025983667
4 4 43 3.2% 0.031922791
5 5 161 12.0% 0.119524870
6 6 180 13.4% 0.133630290
7 7 247 18.3% 0.183370453
8 8 291 21.6% 0.216035635
9 9 148 11.0% 0.109873794
10 10 - Completely agree 173 12.8% 0.128433556
97 Not answered 26 1.9% 0.019302153
98 Not asked 6758 NA


r15helse5_mobil


Variable label: [ Specifies whether the respondent uses a mobile device.]
Technical description: [ Specifies whether the respondent uses a mobile device.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1344] [Invalid:6761] [Range:0-1]

Value Label Cases Percentage
0 Not mobile 845 62.9% 0.6287202
1 Mobile 499 37.1% 0.3712798
Sysmiss 6761 NA


r15helse5_walk


Variable label: Please click the ONE box that best describes your health TODAY: MOBILITY
Pre-question text: Please click the ONE box that best describes your health TODAY.
Literal question: MOBILITY
Technical description:

© EuroQol Research Foundation. EQ-5D™ is a trade mark of the EuroQol Research Foundation.

[Asked if r15group = 4. The wording of the question is somewhat simplified if r15helse5_mobil = 1. Contact Bjarne Robberstad for further details ()]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 I have no problems in walking about 1062 78.8% 0.788418708
2 I have slight problems in walking about 181 13.4% 0.134372680
3 I have moderate problems in walking about 64 4.8% 0.047512992
4 I have severe problems in walking about 28 2.1% 0.020786934
5 I am unable to walk about 5 0.4% 0.003711952
97 Not answered 7 0.5% 0.005196733
98 Not asked 6758 NA


r15helse5_care


Variable label: Please click the ONE box that best describes your health TODAY: SELF-CARE
Pre-question text: Please click the ONE box that best describes your health TODAY.
Literal question: SELF-CARE
Technical description:

© EuroQol Research Foundation. EQ-5D™ is a trade mark of the EuroQol Research Foundation.

[Asked if r15group = 4. The wording of the question is somewhat simplified if r15helse5_mobil = 1. Contact Bjarne Robberstad for further details ()]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 I have no problems washing or dressing myself 1286 95.5% 0.9547141797
2 I have slight problems washing or dressing myself 39 2.9% 0.0289532294
3 I have moderate problems washing or dressing myself 6 0.4% 0.0044543430
4 I have severe problems washing or dressing myself 1 0.1% 0.0007423905
5 I am unable to wash or dress myself 3 0.2% 0.0022271715
97 Not answered 12 0.9% 0.0089086860
98 Not asked 6758 NA


r15helse5_activities


Variable label: Please click the ONE box that best describes your health TODAY: VANLIGE AKTIVITETER
Pre-question text: Please click the ONE box that best describes your health TODAY.
Literal question: USUAL ACTIVITIES
Technical description:

© EuroQol Research Foundation. EQ-5D™ is a trade mark of the EuroQol Research Foundation.

[Asked if r15group = 4. The wording of the question is somewhat simplified if r15helse5_mobil = 1. Contact Bjarne Robberstad for further details ()]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 I have no problems doing my usual activities 1047 77.7% 0.777282851
2 I have slight problems doing my usual activities 225 16.7% 0.167037862
3 I have moderate problems doing my usual activities 46 3.4% 0.034149963
4 I have severe problems doing my usual activities 17 1.3% 0.012620638
5 I am unable to do my usual activities 3 0.2% 0.002227171
97 Not answered 9 0.7% 0.006681514
98 Not asked 6758 NA


r15helse5_pain


Variable label: Please click the ONE box that best describes your health TODAY: SMERTER/UBEHAG
Pre-question text: Please click the ONE box that best describes your health TODAY.
Literal question: PAIN / DISCOMFORT
Technical description:

© EuroQol Research Foundation. EQ-5D™ is a trade mark of the EuroQol Research Foundation.

[Asked if r15group = 4. The wording of the question is somewhat simplified if r15helse5_mobil = 1. Contact Bjarne Robberstad for further details ()]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 I have no pain or discomfort 507 37.6% 0.376391982
2 I have slight pain or discomfort 627 46.5% 0.465478842
3 I have moderate pain or discomfort 156 11.6% 0.115812918
4 I have severe pain or discomfort 39 2.9% 0.028953229
5 I have extreme pain or discomfort 8 0.6% 0.005939124
97 Not answered 10 0.7% 0.007423905
98 Not asked 6758 NA


r15helse5_anxiety


Variable label: Please click the ONE box that best describes your health TODAY: ANGST/DEPRESJON
Pre-question text: Please click the ONE box that best describes your health TODAY.
Literal question: ANXIETY / DEPRESSION
Technical description:

© EuroQol Research Foundation. EQ-5D™ is a trade mark of the EuroQol Research Foundation.

[Asked if r15group = 4. The wording of the question is somewhat simplified if r15helse5_mobil = 1. Contact Bjarne Robberstad for further details ()]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 I am not anxious or depressed 904 67.1% 0.671121010
2 I am slightly anxious or depressed 304 22.6% 0.225686711
3 I am moderately anxious or depressed 104 7.7% 0.077208612
4 I am severely anxious or depressed 23 1.7% 0.017074981
5 I am extremely anxious or depressed 2 0.1% 0.001484781
97 Not answered 10 0.7% 0.007423905
98 Not asked 6758 NA


r15helse6


Variable label: Please click on the scale to indicate how your health is TODAY.
Pre-question text: We would like to know how good or bad your health is TODAY. This scale is numbered from 0 to 100. 100 means the best health you can imagine. 0 means the worst health you can imagine.
Literal question: Please click on the scale to indicate how your health is TODAY.
Technical description:

© EuroQol Research Foundation. EQ-5D™ is a trade mark of the EuroQol Research Foundation.

[Asked if r15group = 4. The respondent answers by clicking on a vertical “slider”.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1342] [Invalid:6763] [Range:0-100]



r15polinpad1_ran


Variable label: [Randomizes if r15group = 4. Background variable. Randomly selects value for r15polinpad1_1, r15polinpad1_2, r15polinpad1_3.]
Technical description: [Randomizes if r15group = 4. Background variable. Randomly selects value for r15polinpad1_1, r15polinpad1_2, r15polinpad1_3.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1343] [Invalid:6762] [Range:1-4]

Value Label Cases Percentage
1 [Blank] 332 24.7% 0.2472077
2 Therefore, the representative reads local news and is aware of the electorate’s political opinions in their county 363 27.0% 0.2702904
3 Therefore, the representative creates a forum on social media instead of arranging a meeting at the county house. The representatives read and write down the electorate’s opinions 329 24.5% 0.2449739
4 Therefore, the representative arranges an open meeting at the county house instead of creating a forum on social media. The representatives read and write down the electorate´s opinions 319 23.8% 0.2375279
Sysmiss 6762 NA


r15polinpad1_1


Variable label: Agree/disagree on decision legitimacy: Representative should follow majority even if party disagrees.
Pre-question text: Parliamentary representatives from your county are to adopt a new health reform. The individual representatives are not obligated to consult the electorate before voting takes place, but vote based on personal conviction. [(blank)/Despite this, the representative from your county wishes to consult the electorate. [Therefore, the representative reads local news and is aware of the electorate’s political opinions in their county/ Therefore, the representative creates a forum on social media instead of arranging a meeting at the county house. The representatives read and write down the electorate’s opinions / Therefore, the representative arranges an open meeting at the county house instead of creating a forum on social media. The representatives read and write down the electorate’s opinions]] To what extent do you agree or disagree with the following assertion:
Literal question: The representatives should follow the opinion of the majority in their county, even if this goes against party opinion.
Technical description: [Asked if r15group = 4. Experiment. The wording of the question depends on the values of r15polinpad1_ran.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 196 14.6% 0.14550854
2 Agree 369 27.4% 0.27394209
3 Agree somewhat 298 22.1% 0.22123237
4 Neither agree nor disagree 148 11.0% 0.10987379
5 Disagree somewhat 128 9.5% 0.09502598
6 Disagree 137 10.2% 0.10170750
7 Strongly disagree 32 2.4% 0.02375650
97 Not answered 39 2.9% 0.02895323
98 Not asked 6758 NA


r15polinpad1_2


Variable label: Agree/disagree on decision legitimacy: Process is legitimate no matter how the representative votes.
Pre-question text: Parliamentary representatives from your county are to adopt a new health reform. The individual representatives are not obligated to consult the electorate before voting takes place, but vote based on personal conviction. [(blank)/Despite this, the representative from your county wishes to consult the electorate. [Therefore, the representative reads local news and is aware of the electorate’s political opinions in their county/ Therefore, the representative creates a forum on social media instead of arranging a meeting at the county house. The representatives read and write down the electorate’s opinions / Therefore, the representative arranges an open meeting at the county house instead of creating a forum on social media. The representatives read and write down the electorate’s opinions]] To what extent do you agree or disagree with the following assertion:
Literal question: Regardless of how the representative votes in Parliament, the decision-making process is legitimate.
Technical description: [Asked if r15group = 4. Experiment. The wording of the question depends on the values of r15polinpad1_ran.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 85 6.3% 0.06310319
2 Agree 395 29.3% 0.29324425
3 Agree somewhat 235 17.4% 0.17446177
4 Neither agree nor disagree 296 22.0% 0.21974759
5 Disagree somewhat 134 9.9% 0.09948033
6 Disagree 91 6.8% 0.06755754
7 Strongly disagree 34 2.5% 0.02524128
97 Not answered 77 5.7% 0.05716407
98 Not asked 6758 NA


r15polinpad1_3


Variable label: Agree/disagree on decision legitimacy: The representative’s decision is fair and reflects voter interests.
Pre-question text: Parliamentary representatives from your county are to adopt a new health reform. The individual representatives are not obligated to consult the electorate before voting takes place, but vote based on personal conviction. [(blank)/Despite this, the representative from your county wishes to consult the electorate. [Therefore, the representative reads local news and is aware of the electorate’s political opinions in their county/ Therefore, the representative creates a forum on social media instead of arranging a meeting at the county house. The representatives read and write down the electorate’s opinions / Therefore, the representative arranges an open meeting at the county house instead of creating a forum on social media. The representatives read and write down the electorate’s opinions]] To what extent do you agree or disagree with the following assertion:
Literal question: The representative’s decision is justified and reflects the interests of the electorate.
Technical description: [Asked if r15group = 4. Experiment. The wording of the question depends on the values of r15polinpad1_ran.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 48 3.6% 0.03563474
2 Agree 234 17.4% 0.17371938
3 Agree somewhat 272 20.2% 0.20193022
4 Neither agree nor disagree 336 24.9% 0.24944321
5 Disagree somewhat 220 16.3% 0.16332591
6 Disagree 124 9.2% 0.09205642
7 Strongly disagree 46 3.4% 0.03414996
97 Not answered 67 5.0% 0.04974016
98 Not asked 6758 NA


r15padproleg1a_ran1


Variable label: [Randomizes if r15group = 4. Background variable. Randomly selects age for r15padproleg1a.]
Technical description: [Randomizes if r15group = 4. Background variable. Randomly selects age for r15padproleg1a.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1340] [Invalid:6765] [Range:1-4]

Value Label Cases Percentage
1 21 years old 314 23.4% 0.2343284
2 30 years old 337 25.1% 0.2514925
3 41 years old 340 25.4% 0.2537313
4 55 years old 349 26.0% 0.2604478
Sysmiss 6765 NA


r15padproleg1a_ran2


Variable label: [Randomizes if r15group = 4. Background variable. Randomly selects gender til r15padproleg1a.]
Technical description: [Randomizes if r15group = 4. Background variable. Randomly selects gender til r15padproleg1a.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1340] [Invalid:6765] [Range:1-2]

Value Label Cases Percentage
1 male 677 50.5% 0.5052239
2 female 663 49.5% 0.4947761
Sysmiss 6765 NA


r15padproleg1a_ran2b


Variable label: [Randomizes if r15group = 4. Background variable. Selects gender pronoun based on the value of r15padproleg1a_ran2 for r15padproleg1a.]
Technical description: [Randomizes if r15group = 4. Background variable. Selects gender pronoun based on the value of r15padproleg1a_ran2 for r15padproleg1a.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1340] [Invalid:6765] [Range:1-2]

Value Label Cases Percentage
1 he 677 50.5% 0.5052239
2 she 663 49.5% 0.4947761
Sysmiss 6765 NA


r15padproleg1a_ran3


Variable label: [Randomizes if r15group = 4. Background variable. Randomly selects reasoning for r15padproleg1a.]
Technical description: [Randomizes if r15group = 4. Background variable. Randomly selects reasoning for r15padproleg1a.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1340] [Invalid:6765] [Range:1-7]

Value Label Cases Percentage
1 their ethnicity 179 13.4% 0.1335821
2 their origins 199 14.9% 0.1485075
3 the colour of their skin 223 16.6% 0.1664179
4 their nationality 186 13.9% 0.1388060
5 their religion 190 14.2% 0.1417910
6 their sexual orientation 178 13.3% 0.1328358
7 their political opinions 185 13.8% 0.1380597
Sysmiss 6765 NA


r15padproleg1a_ran4


Variable label: [Randomizes if r15group = 4. Background variable. Randomly selects identification documents for r15padproleg1a.]
Technical description: [Randomizes if r15group = 4. Background variable. Randomly selects identification documents for r15padproleg1a.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1340] [Invalid:6765] [Range:1-2]

Value Label Cases Percentage
1 The asylum seeker had valid ID documents (passport) from their home country 706 52.7% 0.5268657
2 The asylum seeker did not have valid ID documents (passport) from their home country 634 47.3% 0.4731343
Sysmiss 6765 NA


r15padproleg1b_ran5


Variable label: [Randomizes if r15group = 4. Background variable. Randomly selects quantity for r15padproleg1a.]
Technical description: [Randomizes if r15group = 4. Background variable. Randomly selects quantity for r15padproleg1a.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1340] [Invalid:6765] [Range:1-5]

Value Label Cases Percentage
1 The vast majority 261 19.5% 0.1947761
2 Many 272 20.3% 0.2029851
3 Some 267 19.9% 0.1992537
4 Few 258 19.3% 0.1925373
5 Almost none 282 21.0% 0.2104478
Sysmiss 6765 NA


r15padproleg1b_ran6


Variable label: [Randomizes if r15group = 4. Background variable. Randomly selects adjudication procedure for r15padproleg1a.]
Technical description: [Randomizes if r15group = 4. Background variable. Randomly selects adjudication procedure for r15padproleg1a.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1340] [Invalid:6765] [Range:1-2]

Value Label Cases Percentage
1 automatically processed by a computer programme 709 52.9% 0.5291045
2 manually processed by a bureaucrat 631 47.1% 0.4708955
Sysmiss 6765 NA


r15padproleg1b_ran7


Variable label: [Randomizes if r15group = 4. Background variable. Randomly selects outcome for r15padproleg1a.]
Technical description: [Randomizes if r15group = 4. Background variable. Randomly selects outcome for r15padproleg1a.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1340] [Invalid:6765] [Range:1-2]

Value Label Cases Percentage
1 approved 642 47.9% 0.4791045
2 not approved 698 52.1% 0.5208955
Sysmiss 6765 NA


r15padproleg1b_ran8


Variable label: [Randomizes if r15group = 4. Background variable. Randomly selects number of wrongful decisions til r15padproleg1a.]
Technical description: [Randomizes if r15group = 4. Background variable. Randomly selects number of wrongful decisions til r15padproleg1a.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1340] [Invalid:6765] [Range:1-7]

Value Label Cases Percentage
1 none 197 14.7% 0.1470149
2 one out of a hundred 189 14.1% 0.1410448
3 one out of fifty 179 13.4% 0.1335821
4 one out of twenty 191 14.3% 0.1425373
5 one out of ten 180 13.4% 0.1343284
6 one out of five 195 14.6% 0.1455224
7 one out of three 209 15.6% 0.1559701
Sysmiss 6765 NA


r15padproleg1a


Variable label: Asylum application should/should not be approved.
Pre-question text: Bureaucratic decisions are increasingly being made automatically, that is, without humans being involved. For example, The Norwegian Directorate of Immigration uses a robot to make certain decisions about asylum residency. We are interested in finding out about what circumstances people think decisions can be left to computers and when they can be left to people. Please consider the following scenario and assess whether you think the decision should be made automatically or manually processed by a bureaucrat. Please note that the scenario does not refer to an actual event that has taken place at The Norwegian Directorate of Immigration: A [21 years old/30 years old/41 years old/55 years old] [male/female] has applied for protection (asylum), and is to have their application assessed by The Norwegian Directorate of Immigration. The asylum seeker is applying for protection because [he/she] due to [their ethnicity / their origins / the colour of their skin / their nationality / their religion / their sexual orientation / their political opinions] fears persecution in the home country [he/she] states they come from. [The asylum seeker had valid ID documents (passport) from their home country / The asylum seeker did not have valid ID documents (passport) from their home country]
Literal question: Firstly, could you please state your opinion regarding the asylum application. Based on this information, do you think that the asylum seeker should be allowed to stay?
Technical description: [Asked if r15group = 4. Experiment. The wording of the question depends on the values of r15padproleg1a_ran1, r15padproleg1a_ran2, r15padproleg1a_ran2b, r15padproleg1a_ran3,r15padproleg1a_ran4. The values are randomized.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 659 48.9% 0.48923534
2 No 624 46.3% 0.46325167
97 Not answered 64 4.8% 0.04751299
98 Not asked 6758 NA


r15padproleg1b


Variable label: Manual or automatic review of asylum application.
Pre-question text: Furthermore, imagine that [The vast majority / Many / Some / Few / Almost none] that come from the asylum seeker’s home country have been granted asylum in Norway during the last year, after having their application [automatically processed by a computer programme/manualle processed by a bureaucrat] that evaluates the real danger of persecution that the asylum seekers face in their home country in the future. It has become apparent that among those who [approved/not approved] asylum during the past year from that country, [none/one out of a hundred/one out of fifty/one out of twenty/one out of ten/one out of five/one out of three]decisions were subsequently overturned due to processing errors.
Literal question: Based on this information, how do you think the asylum seeker’s application should be processed?
Technical description: [Asked if r15group = 4. Experiment. The wording of the question depends on the values of r15padproleg1b_ran5, r15padproleg1b_ran6, r15padproleg1b_ran7, r15padproleg1b_ran8. The values are randomized.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 It should be processed manually by a bureaucrat 1078 80.0% 0.80029696
2 It should be processed automatically by a robot 235 17.4% 0.17446177
97 Not answered 34 2.5% 0.02524128
98 Not asked 6758 NA


r15polkom8_ran


Variable label: [Randomizes if r15group = 5. Randomly selects variant of r15polkom8. ]
Technical description: [Randomizes if r15group = 5. Randomly selects variant of r15polkom8. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1360] [Invalid:6745] [Range:1-6]

Value Label Cases Percentage
1 T11 251 18.5% 0.1845588
2 T12 213 15.7% 0.1566176
3 T13 231 17.0% 0.1698529
4 T21 198 14.6% 0.1455882
5 T22 224 16.5% 0.1647059
6 T23 243 17.9% 0.1786765
Sysmiss 6745 NA


r15polkom8_t11


Variable label: Word intensity: How satisfied with democracy in Norway: Very-not at all, word options.
Literal question: All things considered, how satisfied are you with the way democracy works in Norway?
Technical description: [Asked if r15group = 5 and r15polkom8_ran = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Very satisfied 64 25.5% 0.254980080
2 Quite satisfied 155 61.8% 0.617529880
3 Not satisfied 28 11.2% 0.111553785
4 Not satisfied at all 3 1.2% 0.011952191
97 Not answered 1 0.4% 0.003984064
98 Not asked 7854 NA


r15polkom8_t12


Variable label: Word intensity: How satisfied with democracy in Norway: Extremely-not at all, word options.
Literal question: All things considered, how satisfied are you with the way democracy works in Norway?
Technical description: [Asked if r15group = 5 and r15polkom8_ran = 2. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Extremely satisfied 6 2.8% 0.028169014
2 Very satisfied 74 34.7% 0.347417840
3 Satisfied 80 37.6% 0.375586854
4 Quite satisfied 25 11.7% 0.117370892
5 Somewhat satisfied 15 7.0% 0.070422535
6 Not satisfied 11 5.2% 0.051643192
7 Not satisfied at all 2 0.9% 0.009389671
97 Not answered 0 0.0% 0.000000000
98 Not asked 7892 NA


r15polkom8_t13


Variable label: Word intensity: How satisfied with democracy in Norway: Extremely-not at all, number options.
Literal question: All things considered, how satisfied are you with the way democracy works in Norway?
Technical description: [Asked if r15group = 5 and r15polkom8_ran = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1 Extremely satisfied 19 8.2% 0.08225108
2 2 90 39.0% 0.38961039
3 3 55 23.8% 0.23809524
4 4 27 11.7% 0.11688312
5 5 28 12.1% 0.12121212
6 6 9 3.9% 0.03896104
7 7 Not satisfied at all 3 1.3% 0.01298701
97 Not answered 0 0.0% 0.00000000
98 Not asked 7874 NA


r15polkom8_t21


Variable label: Word intensity: How pleased with democracy in Norway: Very-not at all, word options.
Literal question: All things considered, how pleased are you with the way democracy works in Norway?
Technical description: [Asked if r15group = 5 and r15polkom8_ran = 4. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Very pleased 46 23.2% 0.23232323
2 Quite pleased 127 64.1% 0.64141414
3 Not pleased 21 10.6% 0.10606061
4 Not pleased at all 2 1.0% 0.01010101
97 Not answered 2 1.0% 0.01010101
98 Not asked 7907 NA


r15polkom8_t22


Variable label: Word intensity: How pleased with democracy in Norway: Extremely-not at all, number options.
Literal question: All things considered, how pleased are you with the way democracy works in Norway?
Technical description: [Asked if r15group = 5 and r15polkom8_ran = 5. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1 Extremely pleased 24 10.7% 0.10714286
2 2 81 36.2% 0.36160714
3 3 50 22.3% 0.22321429
4 4 33 14.7% 0.14732143
5 5 21 9.4% 0.09375000
6 6 12 5.4% 0.05357143
7 7 Not pleased at all 3 1.3% 0.01339286
97 Not answered 0 0.0% 0.00000000
98 Not asked 7881 NA


r15polkom8_t23


Variable label: Word intensity: How pleased with democracy in Norway: Extremely-not at all, word options.
Literal question: All things considered, how pleased are you with the way democracy works in Norway?
Technical description: [Asked if r15group = 5 and r15polkom8_ran = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Extremely pleased 7 2.9% 0.02880658
2 Very pleased 77 31.7% 0.31687243
3 Pleased 94 38.7% 0.38683128
4 Quite pleased 24 9.9% 0.09876543
5 Somewhat pleased 27 11.1% 0.11111111
6 Not pleased 10 4.1% 0.04115226
7 Not pleased at all 4 1.6% 0.01646091
97 Not answered 0 0.0% 0.00000000
98 Not asked 7862 NA


r15polkom9_ran


Variable label: [Randomizes if r15group = 5. Randomly selects variant of r15polkom9. ]
Technical description: [Randomizes if r15group = 5. Randomly selects variant of r15polkom9. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1360] [Invalid:6745] [Range:1-6]

Value Label Cases Percentage
1 T11 251 18.5% 0.1845588
2 T12 213 15.7% 0.1566176
3 T13 231 17.0% 0.1698529
4 T21 198 14.6% 0.1455882
5 T22 224 16.5% 0.1647059
6 T23 243 17.9% 0.1786765
Sysmiss 6745 NA


r15polkom9_t11


Variable label: Word intensity: How satisfied with personal economy: Very-not at all, word options.
Literal question: How satisfied are you with your current personal financial situation? Are you:
Technical description: [Asked if r15group = 5 and r15polkom9_ran = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Very pleased 57 22.7% 0.22709163
2 Quite pleased 161 64.1% 0.64143426
3 Not pleased 30 12.0% 0.11952191
4 Not pleased at all 3 1.2% 0.01195219
97 Not answered 0 0.0% 0.00000000
98 Not asked 7854 NA


r15polkom9_t12


Variable label: Word intensity: How satisfied with personal economy: Extremely-not at all, word options.
Literal question: How satisfied are you with your current personal financial situation? Are you:
Technical description: [Asked if r15group = 5 and r15polkom9_ran = 2. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Extremely satisfied 10 4.7% 0.04694836
2 Very satisfied 60 28.2% 0.28169014
3 Satisfied 87 40.8% 0.40845070
4 Quite satisfied 25 11.7% 0.11737089
5 Somewhat satisfied 15 7.0% 0.07042254
6 Not satisfied 11 5.2% 0.05164319
7 Not satisfied at all 5 2.3% 0.02347418
97 Not answered 0 0.0% 0.00000000
98 Not asked 7892 NA


r15polkom9_t13


Variable label: Word intensity: How satisfied with personal economy: Extremely-not at all, number options.
Literal question: How satisfied are you with your current personal financial situation? Are you:
Technical description: [Asked if r15group = 5 and r15polkom9_ran = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1 Extremely satisfied 30 13.0% 0.12987013
2 2 73 31.6% 0.31601732
3 3 61 26.4% 0.26406926
4 4 29 12.6% 0.12554113
5 5 25 10.8% 0.10822511
6 6 10 4.3% 0.04329004
7 7 Not satisfied at all 3 1.3% 0.01298701
97 Not answered 0 0.0% 0.00000000
98 Not asked 7874 NA


r15polkom9_t21


Variable label: Word intensity: How pleased with personal economy: Very-not at all, word options.
Literal question: How pleased are you with your current personal financial situation?
Technical description: [Asked if r15group = 5 and r15polkom9_ran = 4. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Very pleased 55 27.8% 0.277777778
2 Quite pleased 120 60.6% 0.606060606
3 Not pleased 18 9.1% 0.090909091
4 Not pleased at all 4 2.0% 0.020202020
97 Not answered 1 0.5% 0.005050505
98 Not asked 7907 NA


r15polkom9_t22


Variable label: Word intensity: How pleased with personal economy: Extremely-not a tall, number options.
Literal question: How pleased are you with your current personal financial situation?
Technical description: [Asked if r15group = 5 and r15polkom9_ran = 5. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1 Extremely pleased 27 12.1% 0.12053571
2 2 63 28.1% 0.28125000
3 3 64 28.6% 0.28571429
4 4 35 15.6% 0.15625000
5 5 23 10.3% 0.10267857
6 6 6 2.7% 0.02678571
7 7 Not pleased at all 6 2.7% 0.02678571
97 Not answered 0 0.0% 0.00000000
98 Not asked 7881 NA


r15polkom9_t23


Variable label: Word intensity: How pleased with personal economy: Extremely-not at all, word options.
Literal question: How pleased are you with your current personal financial situation?
Technical description: [Asked if r15group = 5 and r15polkom9_ran = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Extremely pleased 10 4.1% 0.041152263
2 Very pleased 70 28.8% 0.288065844
3 Pleased 81 33.3% 0.333333333
4 Quite pleased 35 14.4% 0.144032922
5 Somewhat pleased 26 10.7% 0.106995885
6 Not pleased 17 7.0% 0.069958848
7 Not pleased at all 3 1.2% 0.012345679
97 Not answered 1 0.4% 0.004115226
98 Not asked 7862 NA


r15polkom10_ran


Variable label: [Randomizes if r15group = 5. Randomly selects variant of r15polkom10. ]
Technical description: [Randomizes if r15group = 5. Randomly selects variant of r15polkom10. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1360] [Invalid:6745] [Range:1-9]

Value Label Cases Percentage
1 T11 152 11.2% 0.1117647
2 T12 143 10.5% 0.1051471
3 T13 137 10.1% 0.1007353
4 T21 150 11.0% 0.1102941
5 T22 139 10.2% 0.1022059
6 T23 165 12.1% 0.1213235
7 T31 148 10.9% 0.1088235
8 T32 166 12.2% 0.1220588
9 T33 160 11.8% 0.1176471
Sysmiss 6745 NA


r15polkom10_t11


Variable label: Scale difference. How fortunate are you, 1-5.
Literal question: All things considered, how fortunate would you say you are?
Technical description: [Asked if r15group = 5 and r15polkom10_ran = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - Very unfortunate 5 3.3% 0.03289474
2 2 9 5.9% 0.05921053
3 3 31 20.4% 0.20394737
4 4 66 43.4% 0.43421053
5 5 - Very fortunate 41 27.0% 0.26973684
97 Not answered 0 0.0% 0.00000000
98 Not asked 7953 NA


r15polkom10_t12


Variable label: Scale difference. How fortunate are you, 1-7.
Literal question: All things considered, how fortunate would you say you are?
Technical description: [Asked if r15group = 5 and r15polkom10_ran = 2. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1 - Very unfortunate 6 4.2% 0.04195804
2 2 4 2.8% 0.02797203
3 3 12 8.4% 0.08391608
4 4 22 15.4% 0.15384615
5 5 37 25.9% 0.25874126
6 6 34 23.8% 0.23776224
7 7 - Very fortunate 28 19.6% 0.19580420
97 Not answered 0 0.0% 0.00000000
98 Not asked 7962 NA


r15polkom10_t13


Variable label: Scale difference. How fortunate are you, 1-11.
Literal question: All things considered, how fortunate would you say you are?
Technical description: [Asked if r15group = 5 and r15polkom10_ran = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-11]

Value Label Cases Percentage
1 1 - Very unfortunate 1 0.7% 0.00729927
2 2 2 1.5% 0.01459854
3 3 3 2.2% 0.02189781
4 4 5 3.6% 0.03649635
5 5 5 3.6% 0.03649635
6 6 14 10.2% 0.10218978
7 7 16 11.7% 0.11678832
8 8 23 16.8% 0.16788321
9 9 31 22.6% 0.22627737
10 10 24 17.5% 0.17518248
11 11 - Very fortunate 12 8.8% 0.08759124
97 Not answered 1 0.7% 0.00729927
98 Not asked 7968 NA


r15polkom10_t21


Variable label: Scale difference. How happy are you, 1-5.
Literal question: All things considered, how happy would you say you are?
Technical description: [Asked if r15group = 5 and r15polkom10_ran = 4. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - Very unhappy 6 4.0% 0.0400000
2 2 17 11.3% 0.1133333
3 3 29 19.3% 0.1933333
4 4 75 50.0% 0.5000000
5 5 - Very happy 23 15.3% 0.1533333
97 Not answered 0 0.0% 0.0000000
98 Not asked 7955 NA


r15polkom10_t22


Variable label: Scale difference. How happy are you, 1-7.
Literal question: All things considered, how happy would you say you are?
Technical description: [Asked if r15group = 5 and r15polkom10_ran = 5. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1 - Very unhappy 4 2.9% 0.02877698
2 2 3 2.2% 0.02158273
3 3 14 10.1% 0.10071942
4 4 22 15.8% 0.15827338
5 5 48 34.5% 0.34532374
6 6 37 26.6% 0.26618705
7 7 - Very happy 11 7.9% 0.07913669
97 Not answered 0 0.0% 0.00000000
98 Not asked 7966 NA


r15polkom10_t23


Variable label: Scale difference. How happy are you, 1-11.
Literal question: All things considered, how happy would you say you are?
Technical description: [Asked if r15group = 5 and r15polkom10_ran = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:2-11]

Value Label Cases Percentage
1 1 - Very unhappy 0 0.0% 0.000000000
2 2 2 1.2% 0.012121212
3 3 4 2.4% 0.024242424
4 4 1 0.6% 0.006060606
5 5 9 5.5% 0.054545455
6 6 20 12.1% 0.121212121
7 7 22 13.3% 0.133333333
8 8 33 20.0% 0.200000000
9 9 41 24.8% 0.248484848
10 10 27 16.4% 0.163636364
11 11 - Very happy 5 3.0% 0.030303030
97 Not answered 1 0.6% 0.006060606
98 Not asked 7940 NA


r15polkom10_t31


Variable label: Scale difference. How privileged are you, 1-5.
Literal question: All things considered, how privileged would you say you are?
Technical description: [Asked if r15group = 5 and r15polkom10_ran = 7. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - Very unprivileged 9 6.1% 0.06081081
2 2 18 12.2% 0.12162162
3 3 33 22.3% 0.22297297
4 4 43 29.1% 0.29054054
5 5 - Very privileged 45 30.4% 0.30405405
97 Not answered 0 0.0% 0.00000000
98 Not asked 7957 NA


r15polkom10_t32


Variable label: Scale difference. How privileged are you, 1-7.
Literal question: All things considered, how privileged would you say you are?
Technical description: [Asked if r15group = 5 and r15polkom10_ran = 8. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1 - Very unprivileged 3 1.8% 0.01807229
2 2 12 7.2% 0.07228916
3 3 13 7.8% 0.07831325
4 4 21 12.7% 0.12650602
5 5 54 32.5% 0.32530120
6 6 37 22.3% 0.22289157
7 7 - Very privileged 26 15.7% 0.15662651
97 Not answered 0 0.0% 0.00000000
98 Not asked 7939 NA


r15polkom10_t33


Variable label: Scale difference. How privileged are you, 1-11.
Literal question: All things considered, how privileged would you say you are?
Technical description: [Asked if r15group = 5 and r15polkom10_ran = 9. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-11]

Value Label Cases Percentage
1 1 - Very unprivileged 2 1.3% 0.01250
2 2 8 5.0% 0.05000
3 3 4 2.5% 0.02500
4 4 8 5.0% 0.05000
5 5 4 2.5% 0.02500
6 6 10 6.2% 0.06250
7 7 13 8.1% 0.08125
8 8 37 23.1% 0.23125
9 9 37 23.1% 0.23125
10 10 17 10.6% 0.10625
11 11 - Very privileged 20 12.5% 0.12500
97 Not answered 0 0.0% 0.00000
98 Not asked 7945 NA


r15pad_terror1_ran1


Variable label: [Randomizes if r15group = 5. Background variable. Randomly selects tactic(1) for r15pad_terror1_a.]
Technical description: [Randomizes if r15group = 5. Background variable. Randomly selects tactic(1) for r15pad_terror1_a.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1360] [Invalid:6745] [Range:1-5]

Value Label Cases Percentage
1 protest 289 21.2% 0.2125000
2 sabotage 271 19.9% 0.1992647
3 hostage taking 281 20.7% 0.2066176
4 shooting 248 18.2% 0.1823529
5 bombing 271 19.9% 0.1992647
Sysmiss 6745 NA


r15pad_terror1_ran3


Variable label: [Randomizes if r15group = 5. Background variable. Randomly selects target for r15pad_terror1_a.]
Technical description: [Randomizes if r15group = 5. Background variable. Randomly selects target for r15pad_terror1_a.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1360] [Invalid:6745] [Range:1-6]

Value Label Cases Percentage
1 a military facility 214 15.7% 0.1573529
2 a police station 235 17.3% 0.1727941
3 a school 224 16.5% 0.1647059
4 a church 226 16.6% 0.1661765
5 a mosque 241 17.7% 0.1772059
6 a synagogue 220 16.2% 0.1617647
Sysmiss 6745 NA


r15pad_terror1_ran4


Variable label: [Randomizes if r15group = 5. Background variable. Randomly selects persons for r15pad_terror1_a.]
Technical description: [Randomizes if r15group = 5. Background variable. Randomly selects persons for r15pad_terror1_a.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1360] [Invalid:6745] [Range:1-4]

Value Label Cases Percentage
1 No 364 26.8% 0.2676471
2 One person 333 24.5% 0.2448529
3 Two people 312 22.9% 0.2294118
4 Ten people 351 25.8% 0.2580882
Sysmiss 6745 NA


r15pad_terror1_ran5


Variable label: [Randomizes if r15group = 5. Background variable. Collects values from r15pad_terror1_ran1.]
Technical description: [Randomizes if r15group = 5. Background variable. Randomly selects tactic(2) for r15pad_terror1_a.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1360] [Invalid:6745] [Range:1-5]

Value Label Cases Percentage
1 the protest 289 21.2% 0.2125000
2 the sabotage 271 19.9% 0.1992647
3 the hostage taking 281 20.7% 0.2066176
4 the shooting 248 18.2% 0.1823529
5 the bombing 271 19.9% 0.1992647
Sysmiss 6745 NA


r15pad_terror1_ran6


Variable label: [Randomizes if r15group = 5. Background variable. Randomly selects adjective for r15pad_terror1_a.]
Technical description: [Randomizes if r15group = 5. Background variable. Randomly selects adjective for r15pad_terror1_a.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1360] [Invalid:6745] [Range:1-5]

Value Label Cases Percentage
1 one 269 19.8% 0.1977941
2 one Christian 275 20.2% 0.2022059
3 one Muslim 273 20.1% 0.2007353
4 one left-wing extremist 257 18.9% 0.1889706
5 one right-wing extremist 286 21.0% 0.2102941
Sysmiss 6745 NA


r15pad_terror1_ran7


Variable label: [Randomizes if r15group = 5. Background variable. Randomly selects subject for r15pad_terror1_a.]
Technical description: [Randomizes if r15group = 5. Background variable. Randomly selects subject for r15pad_terror1_a.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1360] [Invalid:6745] [Range:1-4]

Value Label Cases Percentage
1 organisation 354 26.0% 0.2602941
2 group 350 25.7% 0.2573529
3 individual 328 24.1% 0.2411765
4 individual of unsound mind 328 24.1% 0.2411765
Sysmiss 6745 NA


r15pad_terror1_ran8


Variable label: [Randomizes if r15group = 5. Background variable. Randomly selects motivation for r15pad_terror1_a.]
Technical description: [Randomizes if r15group = 5. Background variable. Randomly selects motivation for r15pad_terror1_a.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1360] [Invalid:6745] [Range:1-3]

Value Label Cases Percentage
1 there was no clear motivation behind the incident 457 33.6% 0.3360294
2 the incident was carried out with the aim of changing government policy 440 32.4% 0.3235294
3 the motivation behind the incident came from a hatred towards the target 463 34.0% 0.3404412
Sysmiss 6745 NA


r15pad_terror1_a


Variable label: Terrorism experiment: Is the event a terrorist act.
Pre-question text: Could you please now imagine that an incident has taken place in the Nordic region and then consider some questions about the incident below. The incident involves a [protest / sabotage / hostage taking / shooting / bombing] that targeted [a military facility / a police station /a school / a church / a mosque / a synagogue ] in Norway. [Noone/One person/Two people/Ten people] were killed in [the protest / the sabotage / the hostage taking / the shooting / the bombing], which was performed by [one / one Christian / one Muslim / one left-wing extremist / one right-wing extremist] [organisation / group / individual / individual of unsound mind ]. News coverage suggests [there was no clear motivation behind the incident / the incident was carried out with the aim of changing government policy / the motivation behind the incident came from a hatred towards the target ].
Literal question: Would you classify this incident as an act of terrorism?
Technical description: [Asked if r15group = 5. Experiment. The respondent is presented with a fictitious event. The description of the incident depends on randomized values. See background variables.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes, this is terrorism 918 67.5% 0.675000000
2 No, this is not terrorism 432 31.8% 0.317647059
97 Not answered 10 0.7% 0.007352941
98 Not asked 6745 NA


r15pad_terror1_b_1


Variable label: Agree/disagree: Suspecting [R15PAD_TERROR1_A] authorities may: Detain indefinately without trial.
Pre-question text: Imagine that the authorities suspected that this incident was imminent. To what extent do you agree or disagree that the authorities should have the right to:
Literal question: Hold people in custody as long as they want without charging them
Technical description: [Asked if r15group = 5. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 89 6.5% 0.065441176
2 Agree 156 11.5% 0.114705882
3 Agree somewhat 209 15.4% 0.153676471
4 Neither agree nor disagree 90 6.6% 0.066176471
5 Disagree somewhat 174 12.8% 0.127941176
6 Disagree 364 26.8% 0.267647059
7 Strongly disagree 265 19.5% 0.194852941
97 Not answered 13 1.0% 0.009558824
98 Not asked 6745 NA


r15pad_terror1_b_2


Variable label: Agree/disagree: Suspecting [R15PAD_TERROR1_A] authorities may: Wire tap phone calls.
Pre-question text: Imagine that the authorities suspected that this incident was imminent. To what extent do you agree or disagree that the authorities should have the right to:
Literal question: Listen in on people’s telephone conversations
Technical description: [Asked if r15group = 5. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 185 13.6% 0.136029412
2 Agree 344 25.3% 0.252941176
3 Agree somewhat 367 27.0% 0.269852941
4 Neither agree nor disagree 99 7.3% 0.072794118
5 Disagree somewhat 141 10.4% 0.103676471
6 Disagree 136 10.0% 0.100000000
7 Strongly disagree 76 5.6% 0.055882353
97 Not answered 12 0.9% 0.008823529
98 Not asked 6745 NA


r15pad_terror1_b_3


Variable label: Agree/disagree: Suspecting [R15PAD_TERROR1_A] authorities may: Stop and search people on the street.
Pre-question text: Imagine that the authorities suspected that this incident was imminent. To what extent do you agree or disagree that the authorities should have the right to:
Literal question: Randomly stop and search people on the street
Technical description: [Asked if r15group = 5. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 84 6.2% 0.06176471
2 Agree 174 12.8% 0.12794118
3 Agree somewhat 293 21.5% 0.21544118
4 Neither agree nor disagree 131 9.6% 0.09632353
5 Disagree somewhat 172 12.6% 0.12647059
6 Disagree 305 22.4% 0.22426471
7 Strongly disagree 185 13.6% 0.13602941
97 Not answered 16 1.2% 0.01176471
98 Not asked 6745 NA


r15pad_terror1_b_4


Variable label: Agree/disagree: Suspecting [R15PAD_TERROR1_A] authorities may: Monitor emails and internet communication.
Pre-question text: Imagine that the authorities suspected that this incident was imminent. To what extent do you agree or disagree that the authorities should have the right to:
Literal question: Conduct surveillance of people’s Email and Internet communications
Technical description: [Asked if r15group = 5. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 116 8.5% 0.085294118
2 Agree 235 17.3% 0.172794118
3 Agree somewhat 371 27.3% 0.272794118
4 Neither agree nor disagree 139 10.2% 0.102205882
5 Disagree somewhat 175 12.9% 0.128676471
6 Disagree 190 14.0% 0.139705882
7 Strongly disagree 122 9.0% 0.089705882
97 Not answered 12 0.9% 0.008823529
98 Not asked 6745 NA


r15pad_terror1_b_5


Variable label: Agree/disagree: Suspecting [R15PAD_TERROR1_A] authorities may: Monitor/bug rooms.
Pre-question text: Imagine that the authorities suspected that this incident was imminent. To what extent do you agree or disagree that the authorities should have the right to:
Literal question: Conduct surveillance/wire tapping of rooms
Technical description: [Asked if r15group = 5. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 111 8.2% 0.08161765
2 Agree 272 20.0% 0.20000000
3 Agree somewhat 371 27.3% 0.27279412
4 Neither agree nor disagree 139 10.2% 0.10220588
5 Disagree somewhat 164 12.1% 0.12058824
6 Disagree 177 13.0% 0.13014706
7 Strongly disagree 109 8.0% 0.08014706
97 Not answered 17 1.3% 0.01250000
98 Not asked 6745 NA


r15pad_terror1_b_6


Variable label: Agree/disagree: Suspecting [R15PAD_TERROR1_A] authorities may: Cordon off parts of the city.
Pre-question text: Imagine that the authorities suspected that this incident was imminent. To what extent do you agree or disagree that the authorities should have the right to:
Literal question: Cordon off parts of the city
Technical description: [Asked if r15group = 5. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 165 12.1% 0.12132353
2 Agree 432 31.8% 0.31764706
3 Agree somewhat 363 26.7% 0.26691176
4 Neither agree nor disagree 138 10.1% 0.10147059
5 Disagree somewhat 104 7.6% 0.07647059
6 Disagree 97 7.1% 0.07132353
7 Strongly disagree 45 3.3% 0.03308824
97 Not answered 16 1.2% 0.01176471
98 Not asked 6745 NA


r15pad_terror1_b_7


Variable label: Agree/disagree: Suspecting [R15PAD_TERROR1_A] authorities may: Let armed police or the army patrol the streets.
Pre-question text: Imagine that the authorities suspected that this incident was imminent. To what extent do you agree or disagree that the authorities should have the right to:
Literal question: Let armed police or the army patrol the streets
Technical description: [Asked if r15group = 5. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 227 16.7% 0.166911765
2 Agree 383 28.2% 0.281617647
3 Agree somewhat 332 24.4% 0.244117647
4 Neither agree nor disagree 104 7.6% 0.076470588
5 Disagree somewhat 129 9.5% 0.094852941
6 Disagree 108 7.9% 0.079411765
7 Strongly disagree 66 4.9% 0.048529412
97 Not answered 11 0.8% 0.008088235
98 Not asked 6745 NA


r15pad_terror2_ran1


Variable label: [Randomizes if r15group = 5. Background variable. Randomly selects victim for r15pad_terror2.]
Technical description: [Randomizes if r15group = 5. Background variable. Randomly selects victim for r15pad_terror2.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1360] [Invalid:6745] [Range:1-3]

Value Label Cases Percentage
1 you personally 453 33.3% 0.3330882
2 Norway 451 33.2% 0.3316176
3 Europe 456 33.5% 0.3352941
Sysmiss 6745 NA


r15pad_terror2_ran2


Variable label: [Randomizes if r15group = 5. Background variable. Randomly selects time frame for r15pad_terror2.]
Technical description: [Randomizes if r15group = 5. Background variable. Randomly selects time frame for r15pad_terror2.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1360] [Invalid:6745] [Range:1-2]

Value Label Cases Percentage
1 today 680 50.0% 0.5
2 in the future 680 50.0% 0.5
Sysmiss 6745 NA


r15pad_terror2


Variable label: How great threat is terrorism for [you/Europe][today/in the future]
Literal question: Overall, how serious a threat do you perceive terrorism to be for [you personally /Norway/Europe] [today/in the future]?
Technical description: [Asked if r15group = 5. Experiment. The wording of the question depends on the values of r15pad_terror2_ran1 and r15pad_terror2_ran2. The values are randomized. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very serious 89 6.5% 0.0654411765
2 Serious 330 24.3% 0.2426470588
3 Somewhat serious 478 35.1% 0.3514705882
4 Not very serious 372 27.4% 0.2735294118
5 Not a threat 90 6.6% 0.0661764706
97 Not answered 1 0.1% 0.0007352941
98 Not asked 6745 NA


r15pad_terror3


Variable label: Agree/disagree: Preserving safety should limit individual freedoms.
Literal question: To what extent do you agree that the safeguarding of society’s security should be at the expense of individuals’ freedom (such as protection of privacy and the right to privacy)?
Technical description: [Asked if r15group = 5. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 70 5.1% 0.051470588
2 Agree 245 18.0% 0.180147059
3 Agree somewhat 504 37.1% 0.370588235
4 Neither agree nor disagree 109 8.0% 0.080147059
5 Disagree somewhat 183 13.5% 0.134558824
6 Disagree 166 12.2% 0.122058824
7 Strongly disagree 78 5.7% 0.057352941
97 Not answered 5 0.4% 0.003676471
98 Not asked 6745 NA


r15pad_terror5


Variable label: How important are counter-terrorist measures for you.
Literal question: How important are anti-terrorism measures for you personally?
Technical description: [Asked if r15group = 5. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 211 15.5% 0.155147059
2 Importnat 538 39.6% 0.395588235
3 Somewhat important 365 26.8% 0.268382353
4 Slightly important 188 13.8% 0.138235294
5 Not important at all 54 4.0% 0.039705882
97 Not answered 4 0.3% 0.002941176
98 Not asked 6745 NA


r15pad_terror6


Variable label: Which party has the best counter-terrorism policies.
Literal question: Which political party do you think has the best policies aimed at combating terrorist attacks in Norway?
Technical description: [Asked if r15group = 5. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-11]

Value Label Cases Percentage
1 The Labour Party 213 15.7% 0.156617647
2 The Progress Party 163 12.0% 0.119852941
3 The Conservative Party 259 19.0% 0.190441176
4 The Socialist Left Party 47 3.5% 0.034558824
5 The Centre Party 31 2.3% 0.022794118
6 The Christian Democrats 15 1.1% 0.011029412
7 The Liberal Party 14 1.0% 0.010294118
8 The Red Party 22 1.6% 0.016176471
9 The Green Party 5 0.4% 0.003676471
10 Other (write here) 35 2.6% 0.025735294
11 None 510 37.5% 0.375000000
97 Not answered 46 3.4% 0.033823529
98 Not asked 6745 NA


r15pad_terror6_10_other


Variable label: Other [R15PAD_TERROR6]. [Data withheld for the sake of anonymity]
Literal question: Which political party do you think has the best policies aimed at combating terrorist attacks in Norway?
Technical description: [Asked if r15group = 5. ] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15pad_terror8_1


Variable label: How capable of handling terrorist attacks: International organizations.
Pre-question text: In your opinion, how good or bad are the following actors in Norway regarding their ability to deal with the risk of terrorist attacks?
Literal question: International organizations
Technical description: [Asked if r15group = 5. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Extremely good 14 1.0% 0.01029412
2 Very good 156 11.5% 0.11470588
3 Somewhat good 456 33.5% 0.33529412
4 Neither good nor bad 471 34.6% 0.34632353
5 Somewhat bad 115 8.5% 0.08455882
6 Very bad 57 4.2% 0.04191176
7 Extremely bad 19 1.4% 0.01397059
97 Not answered 72 5.3% 0.05294118
98 Not asked 6745 NA


r15pad_terror8_2


Variable label: How capable of handling terrorist attacks: National authorities.
Pre-question text: In your opinion, how good or bad are the following actors in Norway regarding their ability to deal with the risk of terrorist attacks?
Literal question: National authorities
Technical description: [Asked if r15group = 5. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Extremely good 11 0.8% 0.008088235
2 Very good 235 17.3% 0.172794118
3 Somewhat good 678 49.9% 0.498529412
4 Neither good nor bad 216 15.9% 0.158823529
5 Somewhat bad 138 10.1% 0.101470588
6 Very bad 28 2.1% 0.020588235
7 Extremely bad 9 0.7% 0.006617647
97 Not answered 45 3.3% 0.033088235
98 Not asked 6745 NA


r15pad_terror8_3


Variable label: How capable of handling terrorist attacks: Local authorities.
Pre-question text: In your opinion, how good or bad are the following actors in Norway regarding their ability to deal with the risk of terrorist attacks?
Literal question: Local authorities
Technical description: [Asked if r15group = 5. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Extremely good 5 0.4% 0.003676471
2 Very good 63 4.6% 0.046323529
3 Somewhat good 390 28.7% 0.286764706
4 Neither good nor bad 427 31.4% 0.313970588
5 Somewhat bad 273 20.1% 0.200735294
6 Very bad 115 8.5% 0.084558824
7 Extremely bad 29 2.1% 0.021323529
97 Not answered 58 4.3% 0.042647059
98 Not asked 6745 NA


r15pad_terror8_4


Variable label: How capable of handling terrorist attacks: Police.
Pre-question text: In your opinion, how good or bad are the following actors in Norway regarding their ability to deal with the risk of terrorist attacks?
Literal question: The police
Technical description: [Asked if r15group = 5. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Extremely good 24 1.8% 0.01764706
2 Very good 280 20.6% 0.20588235
3 Somewhat good 641 47.1% 0.47132353
4 Neither good nor bad 198 14.6% 0.14558824
5 Somewhat bad 118 8.7% 0.08676471
6 Very bad 41 3.0% 0.03014706
7 Extremely bad 15 1.1% 0.01102941
97 Not answered 43 3.2% 0.03161765
98 Not asked 6745 NA


r15pad_terror8_5


Variable label: How capable of handling terrorist attacks: Voluntary organizations.
Pre-question text: In your opinion, how good or bad are the following actors in Norway regarding their ability to deal with the risk of terrorist attacks?
Literal question: NGOs
Technical description: [Asked if r15group = 5. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Extremely good 7 0.5% 0.005147059
2 Very good 60 4.4% 0.044117647
3 Somewhat good 255 18.8% 0.187500000
4 Neither good nor bad 552 40.6% 0.405882353
5 Somewhat bad 198 14.6% 0.145588235
6 Very bad 171 12.6% 0.125735294
7 Extremely bad 58 4.3% 0.042647059
97 Not answered 59 4.3% 0.043382353
98 Not asked 6745 NA


r15pad_terror8_6


Variable label: How capable of handling terrorist attacks: The individual citizen.
Pre-question text: In your opinion, how good or bad are the following actors in Norway regarding their ability to deal with the risk of terrorist attacks?
Literal question: Individual citizens
Technical description: [Asked if r15group = 5. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Extremely good 8 0.6% 0.005882353
2 Very good 34 2.5% 0.025000000
3 Somewhat good 197 14.5% 0.144852941
4 Neither good nor bad 489 36.0% 0.359558824
5 Somewhat bad 256 18.8% 0.188235294
6 Very bad 225 16.5% 0.165441176
7 Extremely bad 99 7.3% 0.072794118
97 Not answered 52 3.8% 0.038235294
98 Not asked 6745 NA


r15pad_terror10_ran


Variable label: [Randomizes if r15group = 5. Background variable. Randomly selects event for r15pad_terror10.]
Technical description: [Randomizes if r15group = 5. Background variable. Randomly selects event for r15pad_terror10.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1351] [Invalid:6754] [Range:1-2]

Value Label Cases Percentage
1 natural disasters 686 50.8% 0.507772
2 terrorist attacks 665 49.2% 0.492228
Sysmiss 6754 NA


r15pad_terror10


Variable label: For/against: 100 million NOK per life saved on measures to limit damages from [natural disasters/terrorist attacks].
Pre-question text: Presently, there is great deal of attention focused on [natural disasters/terrorist attacks]. The state can put various measures in place to reduce the risk of [natural disasters/terrorist attacks], but there is controversy over how much money the state should prioritize to spend on such measures.
Literal question: If the state can expect to save one human life by spending NOK 100 million on measures to reduce the risk of [natural disasters/terrorist attacks], do you think the state should prioritize these measures? These measures should be carried out if they have to be funded through increased taxes among the population?
Technical description: [Asked if r15group = 5. Experiment. The wording of the question depends on the values of r15pad_terror10_ran. The value is randomized.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 I support it very strongly 97 7.1% 0.07132353
2 I support it strongly 230 16.9% 0.16911765
3 I support it somewhat 363 26.7% 0.26691176
4 I neither support it nor oppose it 316 23.2% 0.23235294
5 I oppose it somewhat 205 15.1% 0.15073529
6 I oppose it strongly 94 6.9% 0.06911765
7 I oppose it very strongly 25 1.8% 0.01838235
97 Not answered 30 2.2% 0.02205882
98 Not asked 6745 NA


r15pad_terror11pre


Variable label: How has immigration from muslim countries affected the risk of terrorist attacks in the receiving countries.
Pre-question text: Over the past twenty years, there have been high levels of immigration from Muslim countries in Africa, Asia and the Middle East to Europe. There are differences in how strict certain countries are regarding their immigration policies. There are also differences regarding which countries Muslims typically prefer to emigrate to. By gathering large amounts of data, researchers can use these differences to study the correlation between Muslim immigration and terrorism. A US research team recently used data from 174 countries during the period of 1995-2015 to study how the probability of terrorism changed as a result of increased immigration from Muslim countries.
Literal question: During the period of 1995-2015, how do you think increased immigration from Muslim-majority countries influenced recipient countries?
Technical description: [Asked if r15group = 5. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 It led to a lot more terrorism 141 10.4% 0.103676471
2 It led to somewhat more terrorism 510 37.5% 0.375000000
3 It did not lead to any more or any less terrorism 649 47.7% 0.477205882
4 It led to less terrorism 26 1.9% 0.019117647
5 It led to a lot less terrorism 7 0.5% 0.005147059
97 Not answered 27 2.0% 0.019852941
98 Not asked 6745 NA


r15pad_terror11_ran


Variable label: [Randomizes if r15group = 5. Background variable. Randomly selects if the respondent is shown a text prior to answering r15pad_terror11posta.]
Technical description: [Randomizes if r15group = 5. Background variable. Randomly selects if the respondent is shown a text prior to answering r15pad_terror11posta.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1343] [Invalid:6762] [Range:1-2]

Value Label Cases Percentage
1 For your information, the researchers who analysed the correlation between immigration from Muslim countries and terrorist attacks in recipient countries, found that increased Muslim immigration had no impact on terrorism in recipient countries. 691 51.5% 0.5145197
2 [Control] 652 48.5% 0.4854803
Sysmiss 6762 NA


r15pad_terror11_usedback


Variable label: [ Background variable. Specifies whether the respondent has used the back button.]
Technical description: [ Background variable. Specifies whether the respondent has used the back button.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:56] [Invalid:8049] [Range:1-1]

Value Label Cases Percentage
1 Back button used 56 100.0% 1
Sysmiss 8049 NA


r15pad_terror11posta


Variable label: Will the risk of terrorist attacks in Norway increase if we accept more immigrants from muslim countries.
Pre-question text: [Blank / For your information, the researchers who analysed the correlation between immigration from Muslim countries and terrorist attacks in recipient countries, found that increased Muslim immigration had no impact on terrorism in recipient countries.]
Literal question: Over the next ten years, do you think the risk of terror in Norway will increase if we choose to accept more immigrants from Muslim countries in Africa, Asia and the Middle East? The risk of terror will…
Technical description: [Asked if r15group = 5. If r15pad_terror11_ran = 1, the respondent was shown a text before the question was asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Increase greatly 86 6.3% 0.063235294
2 Increase 207 15.2% 0.152205882
3 Increase somewhat 385 28.3% 0.283088235
4 Neither increase nor decrease 633 46.5% 0.465441176
5 Decrease somewhat 14 1.0% 0.010294118
6 Decrease 10 0.7% 0.007352941
7 Decrease greatly 2 0.1% 0.001470588
97 Not answered 23 1.7% 0.016911765
98 Not asked 6745 NA


r15pad_terror11postb


Variable label: Should Norway accept more of fewer immigrants than today?
Literal question: There is an ongoing debate in Norway about how many refugees we should receive. Do you think Norway should receive more or fewer refugees than it does today?
Technical description: [Asked if r15group = 5. If r15pad_terror11_ran = 1, the respondent was shown a text before the question was asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Receive many more 39 2.9% 0.02867647
2 Receive more 188 13.8% 0.13823529
3 Receive a few more 282 20.7% 0.20735294
4 Neither receive any more nor any less 385 28.3% 0.28308824
5 Receive a few less 173 12.7% 0.12720588
6 Receive fewer 136 10.0% 0.10000000
7 Receive many fewer 126 9.3% 0.09264706
97 Not answered 31 2.3% 0.02279412
98 Not asked 6745 NA


r15pad_terror11postc


Variable label: Agree/disagree: Norway should reduce the share of immigrants with muslim backgrounds.
Pre-question text: Some people believe Norway should reduce the proportion of Muslim refugees we receive.
Literal question: To what extent do you agree or disagree that Norway should reduce the proportion of refugees with Muslim backgrounds?
Technical description: [Asked if r15group = 5. If r15pad_terror11_ran = 1, the respondent was shown a text before the question was asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 156 11.5% 0.11470588
2 Agree 146 10.7% 0.10735294
3 Agree somewhat 226 16.6% 0.16617647
4 Neither agree nor disagree 312 22.9% 0.22941176
5 Disagree somewhat 144 10.6% 0.10588235
6 Disagree 221 16.2% 0.16250000
7 Strongly disagree 131 9.6% 0.09632353
97 Not answered 24 1.8% 0.01764706
98 Not asked 6745 NA


r15tdr1


Variable label: Where did you grow up?
Literal question: Where did you grow up?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-20]

Value Label Cases Percentage
1 Østfold 61 4.5% 0.044525547
2 Akershus 113 8.2% 0.082481752
3 Oslo 139 10.1% 0.101459854
4 Hedmark 43 3.1% 0.031386861
5 Oppland 49 3.6% 0.035766423
6 Buskerud 52 3.8% 0.037956204
7 Vestfold 45 3.3% 0.032846715
8 Telemark 47 3.4% 0.034306569
9 Aust-Agder 33 2.4% 0.024087591
10 Vest-Agder 50 3.6% 0.036496350
11 Rogaland 111 8.1% 0.081021898
12 Hordaland 165 12.0% 0.120437956
13 Sogn og Fjordane 47 3.4% 0.034306569
14 Møre og Romsdal 67 4.9% 0.048905109
15 Sør-Trøndelag 78 5.7% 0.056934307
16 Nord-Trøndelag 21 1.5% 0.015328467
17 Nordland 87 6.4% 0.063503650
18 Troms 63 4.6% 0.045985401
19 Finnmark 16 1.2% 0.011678832
20 Other 81 5.9% 0.059124088
97 Not answered 2 0.1% 0.001459854
98 Not asked 6735 NA


r15tdr1_20_other


Variable label: Other [R15TDR1].[Data withheld for the sake of anonymity]
Literal question: Where did you grow up?
Technical description: [Asked if r15group = 6. ] [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: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15tdr2


Variable label: How many years have you lived in the country you live in now.
Literal question: How many years have you lived in the county you now live in?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1366] [Invalid:6739] [Range:0-90]



r15tdr3_ran


Variable label: [Randomizes if r15group = 5. Background variable. Randomly selects region for r15tdr3_5.]
Technical description: [Randomizes if r15group = 5. Background variable. Randomly selects region for r15tdr3_5.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1370] [Invalid:6735] [Range:1-2]

Value Label Cases Percentage
1 Scandinavia 685 50.0% 0.5
2 The Nordic countries 685 50.0% 0.5
Sysmiss 6735 NA


r15tdr3_1


Variable label: How strong affinity to: Your municipality.
Pre-question text: Please could you say something about what sort of affinity you have to each of the following entities:
Literal question: How strong is your affinity to the municipality you live in?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Strong affinity 553 40.4% 0.403649635
2 Affinity 522 38.1% 0.381021898
3 Some affinity 190 13.9% 0.138686131
4 No particular affinity 82 6.0% 0.059854015
5 No affinity at all 20 1.5% 0.014598540
6 Don't know 2 0.1% 0.001459854
97 Not answered 1 0.1% 0.000729927
98 Not asked 6735 NA


r15tdr3_2


Variable label: How strong affinity to: Your county.
Pre-question text: Please could you say something about what sort of affinity you have to each of the following entities:
Literal question: How strong is your affinity to the county you live in?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Strong affinity 434 31.7% 0.316788321
2 Affinity 516 37.7% 0.376642336
3 Some affinity 255 18.6% 0.186131387
4 No particular affinity 121 8.8% 0.088321168
5 No affinity at all 32 2.3% 0.023357664
6 Don't know 0 0.0% 0.000000000
97 Not answered 12 0.9% 0.008759124
98 Not asked 6735 NA


r15tdr3_3


Variable label: How strong affinity to: Your region of the country.
Pre-question text: Please could you say something about what sort of affinity you have to each of the following entities:
Literal question: How strong is your affinity to the region of the country you live in?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Strong affinity 624 45.5% 0.455474453
2 Affinity 486 35.5% 0.354744526
3 Some affinity 169 12.3% 0.123357664
4 No particular affinity 58 4.2% 0.042335766
5 No affinity at all 19 1.4% 0.013868613
6 Don't know 1 0.1% 0.000729927
97 Not answered 13 0.9% 0.009489051
98 Not asked 6735 NA


r15tdr3_4


Variable label: How strong affinity to: Norway.
Pre-question text: Please could you say something about what sort of affinity you have to each of the following entities:
Literal question: How strong is your affinity to Noway?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Strong affinity 1009 73.6% 0.736496350
2 Affinity 286 20.9% 0.208759124
3 Some affinity 52 3.8% 0.037956204
4 No particular affinity 7 0.5% 0.005109489
5 No affinity at all 3 0.2% 0.002189781
6 Don't know 1 0.1% 0.000729927
97 Not answered 12 0.9% 0.008759124
98 Not asked 6735 NA


r15tdr3_5


Variable label: How strong affinity to: [Scandinavia/The Nordic countries].
Pre-question text: Please could you say something about what sort of affinity you have to each of the following entities:
Literal question: How strong is your affinity to [Scandinavia/The Nordic countries]?
Technical description: [Asked if r15group = 6. The wording of the question depends on the randomized value of r15tdr3_ran. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Strong affinity 462 33.7% 0.337226277
2 Affinity 618 45.1% 0.451094891
3 Some affinity 219 16.0% 0.159854015
4 No particular affinity 42 3.1% 0.030656934
5 No affinity at all 10 0.7% 0.007299270
6 Don't know 6 0.4% 0.004379562
97 Not answered 13 0.9% 0.009489051
98 Not asked 6735 NA


r15tdr3_7


Variable label: How strong affinity to: Europe.
Pre-question text: Please could you say something about what sort of affinity you have to each of the following entities:
Literal question: How strong is your affinity to Europe?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Strong affinity 389 28.4% 0.283941606
2 Affinity 585 42.7% 0.427007299
3 Some affinity 277 20.2% 0.202189781
4 No particular affinity 80 5.8% 0.058394161
5 No affinity at all 13 0.9% 0.009489051
6 Don't know 13 0.9% 0.009489051
97 Not answered 13 0.9% 0.009489051
98 Not asked 6735 NA


r15tdr4a


Variable label: Do you have one or more geographical identities.
Pre-question text: We all have different identities. Identity can, among other things, be related to gender, age, class, religion and profession. Many also have identities related to a geographical area such as a district, city, municipality, county or region of the country.
Literal question: Do you have one or more of these geographical identities?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 890 65.0% 0.649635036
2 No 473 34.5% 0.345255474
97 Not answered 7 0.5% 0.005109489
98 Not asked 6735 NA


r15tdr4b


Variable label: Open [R15TDR4A].[Data withheld for the sake of anonymity]
Literal question: Please could you say something about which geographic identities you have? - You can mention more than one if you prefer?
Technical description: [Asked if r15group = 6 and r15tdr4a = 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: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15tdr5


Variable label: How interested in local politics.
Literal question: Generally speaking, how interested are you in local politics?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very interested 137 10.0% 0.100000000
2 Interested 654 47.7% 0.477372263
3 Somewhat interested 401 29.3% 0.292700730
4 Not very interested 148 10.8% 0.108029197
5 Not interested at all 29 2.1% 0.021167883
97 Not answered 1 0.1% 0.000729927
98 Not asked 6735 NA


r15tdr6


Variable label: How interested in county politics.
Literal question: Generally speaking, how interested are you in county politics?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very interested 56 4.1% 0.040875912
2 Interested 396 28.9% 0.289051095
3 Somewhat interested 515 37.6% 0.375912409
4 Not very interested 332 24.2% 0.242335766
5 Not interested at all 64 4.7% 0.046715328
97 Not answered 7 0.5% 0.005109489
98 Not asked 6735 NA


r15tdr7_1


Variable label: How important to vote: Municipal elections.
Pre-question text: How important is it for you to vote in…
Literal question: Municipal elections
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Very important to vote 827 60.4% 0.603649635
2 Important to vote 373 27.2% 0.272262774
3 Somewhat important to vote 93 6.8% 0.067883212
4 Not very important to vote 56 4.1% 0.040875912
5 Not important to vote at all 15 1.1% 0.010948905
6 I do not have the right to vote 4 0.3% 0.002919708
97 Not answered 2 0.1% 0.001459854
98 Not asked 6735 NA


r15tdr7_2


Variable label: How important to vote: County elections.
Pre-question text: How important is it for you to vote in…
Literal question: County council elections
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Very important to vote 556 40.6% 0.405839416
2 Important to vote 415 30.3% 0.302919708
3 Somewhat important to vote 192 14.0% 0.140145985
4 Not very important to vote 145 10.6% 0.105839416
5 Not important to vote at all 41 3.0% 0.029927007
6 I do not have the right to vote 11 0.8% 0.008029197
97 Not answered 10 0.7% 0.007299270
98 Not asked 6735 NA


r15tdr8a


Variable label: Would vote for this party if municipal elections next week.
Pre-question text: Local elections will take place this September (municipal council and county council elections).
Literal question: Which party would you vote for if there were municipal elections next week?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-15]

Value Label Cases Percentage
1 The Christian Democrats 56 4.1% 0.040875912
2 The Conservative Party 272 19.9% 0.198540146
3 The Progress Party 82 6.0% 0.059854015
4 The Liberal Party 53 3.9% 0.038686131
5 The Social Left Party 93 6.8% 0.067883212
6 The Centre Party 160 11.7% 0.116788321
7 The Green Party 81 5.9% 0.059124088
8 The Labour Party 308 22.5% 0.224817518
9 The Red Party 85 6.2% 0.062043796
10 A joint list 1 0.1% 0.000729927
11 A local list 26 1.9% 0.018978102
12 Would cast a blank vote 35 2.6% 0.025547445
13 Would not vote 22 1.6% 0.016058394
14 Not entitled to vote 6 0.4% 0.004379562
15 Other: 77 5.6% 0.056204380
97 Not answered 13 0.9% 0.009489051
98 Not asked 6735 NA


r15tdr8a_15_other


Variable label: Other [R15TDR8A]. [Data withheld for the sake of anonymity]
Pre-question text: Local elections will take place this September (municipal council and county council elections).
Literal question: Which party would you vote for if there were municipal elections next week?
Technical description: [Asked if r15group = 6. ] [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: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15tdr8b


Variable label: Would vote for this party if county elections next week.
Literal question: Which party would you vote for if there were county council elections next week?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-15]

Value Label Cases Percentage
1 The Christian Democrats 53 3.9% 0.038686131
2 The Conservative Party 267 19.5% 0.194890511
3 The Progress Party 77 5.6% 0.056204380
4 The Liberal Party 43 3.1% 0.031386861
5 The Social Left Party 89 6.5% 0.064963504
6 The Centre Party 150 10.9% 0.109489051
7 The Green Party 78 5.7% 0.056934307
8 The Labour Party 316 23.1% 0.230656934
9 The Red Party 79 5.8% 0.057664234
10 A joint list 1 0.1% 0.000729927
11 A local list 18 1.3% 0.013138686
12 Would cast a blank vote 43 3.1% 0.031386861
13 Would not vote 53 3.9% 0.038686131
14 Not entitled to vote 10 0.7% 0.007299270
15 Other: 75 5.5% 0.054744526
97 Not answered 18 1.3% 0.013138686
98 Not asked 6735 NA


r15tdr8b_15_other


Variable label: Other [R15TDR8B]. [Data withheld for the sake of anonymity]
Literal question: Which party would you vote for if there were county council elections next week?
Technical description: [Asked if r15group = 6. ] [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: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15tdr9_2


Variable label: How important for you: Decisions made by municipal government.
Pre-question text: Public tasks are resolved at different levels in Norway. Some of the most important municipal tasks are primary and lower secondary schools, kindergartens, primary healthcare, care and nursing, public transport and a variety of technical services: sewage, drains, water and waste disposal. The county authorities are responsible for upper secondary education and regional development, while central authorities are responsible for the police, defence, higher education and a variety of social security services. Based on this, how important are the decisions made at the different levels for you personally?
Literal question: How important are the decisions made by the municipal council for you personally?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 529 38.6% 0.386131387
2 Important 618 45.1% 0.451094891
3 Somewhat important 168 12.3% 0.122627737
4 Slightly important 42 3.1% 0.030656934
5 Not important at all 8 0.6% 0.005839416
97 Not answered 5 0.4% 0.003649635
98 Not asked 6735 NA


r15tdr9_4


Variable label: How important for you: Decisions made by county government.
Pre-question text: Public tasks are resolved at different levels in Norway. Some of the most important municipal tasks are primary and lower secondary schools, kindergartens, primary healthcare, care and nursing, public transport and a variety of technical services: sewage, drains, water and waste disposal. The county authorities are responsible for upper secondary education and regional development, while central authorities are responsible for the police, defence, higher education and a variety of social security services. Based on this, how important are the decisions made at the different levels for you personally?
Literal question: How important are the decisions made by the county council for you personally?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 213 15.5% 0.155474453
2 Important 580 42.3% 0.423357664
3 Somewhat important 402 29.3% 0.293430657
4 Slightly important 154 11.2% 0.112408759
5 Not important at all 12 0.9% 0.008759124
97 Not answered 9 0.7% 0.006569343
98 Not asked 6735 NA


r15tdr9_6


Variable label: How important for you: Decisions made by Parliament.
Pre-question text: Public tasks are resolved at different levels in Norway. Some of the most important municipal tasks are primary and lower secondary schools, kindergartens, primary healthcare, care and nursing, public transport and a variety of technical services: sewage, drains, water and waste disposal. The county authorities are responsible for upper secondary education and regional development, while central authorities are responsible for the police, defence, higher education and a variety of social security services. Based on this, how important are the decisions made at the different levels for you personally?
Literal question: How important are the decisions made by the Norwegian Parliament for you personally?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 479 35.0% 0.349635036
2 Important 635 46.4% 0.463503650
3 Somewhat important 199 14.5% 0.145255474
4 Slightly important 38 2.8% 0.027737226
5 Not important at all 8 0.6% 0.005839416
97 Not answered 11 0.8% 0.008029197
98 Not asked 6735 NA


r15tdr10_2


Variable label: How satisfied with services from: Municipality.
Pre-question text: In the previous question, task allocation between the levels of governance in Norway was presented, we wish to repeat this before the next question: Public tasks are resolved at different levels in Norway. Some of the most important municipal tasks are primary and lower secondary schools, kindergartens, primary healthcare, care and nursing, public transport and a variety of technical services: sewage, drains, water and waste disposal. The county authorities are responsible for upper secondary education, dental health and regional development, while central authorities are responsible for the police, defence, higher education and a variety of social security services. Based on this, how satisfied are you with the services provided at the different levels?
Literal question: How satisfied are you with the services provided by your municipality?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Very satisfied 127 9.3% 0.092700730
2 Satisfied 761 55.5% 0.555474453
3 Somewhat satisfied 357 26.1% 0.260583942
4 Not very satisfied 84 6.1% 0.061313869
5 Not satisfied at all 15 1.1% 0.010948905
6 Don't know 18 1.3% 0.013138686
97 Not answered 8 0.6% 0.005839416
98 Not asked 6735 NA


r15tdr10_4


Variable label: How satisfied with services from: County.
Pre-question text: In the previous question, task allocation between the levels of governance in Norway was presented, we wish to repeat this before the next question: Public tasks are resolved at different levels in Norway. Some of the most important municipal tasks are primary and lower secondary schools, kindergartens, primary healthcare, care and nursing, public transport and a variety of technical services: sewage, drains, water and waste disposal. The county authorities are responsible for upper secondary education, dental health and regional development, while central authorities are responsible for the police, defence, higher education and a variety of social security services. Based on this, how satisfied are you with the services provided at the different levels?
Literal question: How satisfied are you with the services provided by your county authority?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Very satisfied 36 2.6% 0.026277372
2 Satisfied 575 42.0% 0.419708029
3 Somewhat satisfied 484 35.3% 0.353284672
4 Not very satisfied 108 7.9% 0.078832117
5 Not satisfied at all 25 1.8% 0.018248175
6 Don't know 131 9.6% 0.095620438
97 Not answered 11 0.8% 0.008029197
98 Not asked 6735 NA


r15tdr10_6


Variable label: How satisfied with services from: State.
Pre-question text: In the previous question, task allocation between the levels of governance in Norway was presented, we wish to repeat this before the next question: Public tasks are resolved at different levels in Norway. Some of the most important municipal tasks are primary and lower secondary schools, kindergartens, primary healthcare, care and nursing, public transport and a variety of technical services: sewage, drains, water and waste disposal. The county authorities are responsible for upper secondary education, dental health and regional development, while central authorities are responsible for the police, defence, higher education and a variety of social security services. Based on this, how satisfied are you with the services provided at the different levels?
Literal question: How satisfied are you with the services provided by the state?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Very satisfied 47 3.4% 0.034306569
2 Satisfied 614 44.8% 0.448175182
3 Somewhat satisfied 508 37.1% 0.370802920
4 Not very satisfied 143 10.4% 0.104379562
5 Not satisfied at all 31 2.3% 0.022627737
6 Don't know 16 1.2% 0.011678832
97 Not answered 11 0.8% 0.008029197
98 Not asked 6735 NA


r15tdr11


Variable label: Municipalities should have more, fewer, or as many tasks as today.
Pre-question text: From the 1st of January 2020, Norway will receive a new municipal and county structure. Many municipalities and county authorities will be merged. The distribution of tasks between the administrative levels will also change somewhat as a result of these reforms. If one level is assigned certain new tasks, it usually means that another level loses responsibility for certain tasks.
Literal question: Which of the following assertions is closest to your point of view:
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Municipalities should receive fewer tasks 246 18.0% 0.179562044
2 The distribution of tasks between state, county authority and municipality should remain as it is today 431 31.5% 0.314598540
3 Municipalities should receive more tasks 389 28.4% 0.283941606
4 Don't know 292 21.3% 0.213138686
97 Not answered 12 0.9% 0.008759124
98 Not asked 6735 NA


r15tdr12


Variable label: Counties should have more, fewer, as many tasks as today, or be shut down.
Literal question: Which of the following assertions is closest to your point of view:
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 County authorities should receive fewer tasks 195 14.2% 0.14233577
2 The distribution of tasks between state, county authority and municipality should remain as it is today 347 25.3% 0.25328467
3 County authorities should receive more tasks 180 13.1% 0.13138686
4 County authorities should be closed down 333 24.3% 0.24306569
5 Don't know 296 21.6% 0.21605839
97 Not answered 19 1.4% 0.01386861
98 Not asked 6735 NA


r15tdr13


Variable label: Most important reason for party choice in municipal elections.
Pre-question text: There may be many reasons why people vote for a particular political party or party list during elections.
Literal question: Regarding the municipal elections in September, which of the four considerations mentioned below will be most important to you when you decide on which political party or party list to vote for?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Local issues 563 41.1% 0.41094891
2 Candidates on the party list 138 10.1% 0.10072993
3 National issues 219 16.0% 0.15985401
4 General confidence in the party/party list 434 31.7% 0.31678832
97 Not answered 16 1.2% 0.01167883
98 Not asked 6735 NA


r15tdr14


Variable label: How great trust in municipality politicians.
Literal question: How much confidence would you say you have in municipal politicians?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very high confidence 23 1.7% 0.016788321
2 High confidence 415 30.3% 0.302919708
3 Some confidence 689 50.3% 0.502919708
4 Low confidence 196 14.3% 0.143065693
5 No confidence at all 34 2.5% 0.024817518
97 Not answered 13 0.9% 0.009489051
98 Not asked 6735 NA


r15tdr15_ran


Variable label: [ Background variable. Randomly selects either r15tdr15a or r15tdr15b.]
Technical description: [ Background variable. Randomly selects either r15tdr15a or r15tdr15b.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:1360] [Invalid:6745] [Range:1-2]

Value Label Cases Percentage
1 What is important in order for you to have confidence in municipal politicians? 687 50.5% 0.5051471
2 What would you say creates the mistrust of municipal politicians? 673 49.5% 0.4948529
Sysmiss 6745 NA


r15tdr15a


Variable label: What is important for you to have trust in municipality politicians [Open].[Data withheld for the sake of anonymity]
Literal question: What is important in order for you to have confidence in municipal politicians?
Post-question: Please write down the first thing you think of. We wish to receive all kinds of answers, a few sentences or just a few words if you would prefer.
Technical description: [Asked if r15group = 6 and r15tdr15_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: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15tdr15b


Variable label: What creates lack of trust in municipality politicians [Open]. [Data withheld for the sake of anonymity]
Literal question: What would you say creates the mistrust of municipal politicians?
Post-question: Please write down the first thing you think of. We wish to receive all kinds of answers, a few sentences or just a few words if you would prefer.
Technical description: [Asked if r15group = 6 and r15tdr15_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: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15tdr16


Variable label: Perception of economic situation in Norway today.
Literal question: How do you perceive the current economic situation in Norway? Do you believe it is:
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 491 35.8% 0.358394161
2 Good 688 50.2% 0.502189781
3 Quite good 110 8.0% 0.080291971
4 Neither good nor bad 41 3.0% 0.029927007
5 Quite bad 21 1.5% 0.015328467
6 Bad 4 0.3% 0.002919708
7 Very bad 2 0.1% 0.001459854
97 Not answered 13 0.9% 0.009489051
98 Not asked 6735 NA


r15tdr17


Variable label: Economic situation in [region of country] compared with the rest of Norway.
Literal question: If you compare the economic situation [in your region of the country] with the rest of Norway, do you consider the situation [in your region of the country] as better, worse or the same?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Better 432 31.5% 0.31532847
2 Worse 190 13.9% 0.13868613
3 The same 726 53.0% 0.52992701
97 Not answered 22 1.6% 0.01605839
98 Not asked 6735 NA


r15tdr18


Variable label: Central authorities should intervene to even out economic differences between parts of the country.
Pre-question text: To what extent do you agree with the following assertion:
Literal question: Central authorities should intervene with measures to even out economic inequalities that exist between different parts of the country?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 224 16.4% 0.16350365
2 Agree 459 33.5% 0.33503650
3 Agree somewhat 372 27.2% 0.27153285
4 Neither agree nor disagree 157 11.5% 0.11459854
5 Disagree somewhat 78 5.7% 0.05693431
6 Disagree 47 3.4% 0.03430657
7 Strongly disagree 18 1.3% 0.01313869
97 Not answered 15 1.1% 0.01094891
98 Not asked 6735 NA


r15tdr19


Variable label: Economic resources should be transferred from rich to poor parts of the country to secure equal quality of public services.
Pre-question text: To what extent do you agree with the following assertion:
Literal question: Financial resources should be transferred from the rich parts of the country to parts that are not so rich to ensure that everyone receives public services of the same quality?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 242 17.7% 0.17664234
2 Agree 472 34.5% 0.34452555
3 Agree somewhat 378 27.6% 0.27591241
4 Neither agree nor disagree 132 9.6% 0.09635036
5 Disagree somewhat 77 5.6% 0.05620438
6 Disagree 28 2.0% 0.02043796
7 Strongly disagree 18 1.3% 0.01313869
97 Not answered 23 1.7% 0.01678832
98 Not asked 6735 NA


r15tdr20a


Variable label: Has your municipality recently been or is about to be merged with neighboring municipalities.
Literal question: Has your municipality recently been merged with one or more neighbouring municipalities? (or will be merged from 2020)
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Yes 476 34.7% 0.34744526
2 No 776 56.6% 0.56642336
3 Don't know 102 7.4% 0.07445255
97 Not answered 16 1.2% 0.01167883
98 Not asked 6735 NA


r15tdr20b


Variable label: Agree/disagree: Good that my municipality has been/is being merged with neighboring municipalities.
Pre-question text: To what extent do you agree or disagree with the following assertion:
Literal question: It is good that my municipality has/will be merged with one or more neighbouring municipalities
Technical description: [Asked if r15group = 6 and r15tdr20a = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 76 16.0% 0.159663866
2 Agree 111 23.3% 0.233193277
3 Agree somewhat 73 15.3% 0.153361345
4 Neither agree nor disagree 80 16.8% 0.168067227
5 Disagree somewhat 52 10.9% 0.109243697
6 Disagree 40 8.4% 0.084033613
7 Strongly disagree 42 8.8% 0.088235294
97 Not answered 2 0.4% 0.004201681
98 Not asked 7629 NA


r15tdr20c


Variable label: Has your county recently been or is about to be merged with neighboring counties.
Literal question: Has your county authority recently been merged with one or more neighbouring county authorities? (or will be merged from 2020)
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Yes 773 56.4% 0.56423358
2 No 392 28.6% 0.28613139
3 Don't know 184 13.4% 0.13430657
97 Not answered 21 1.5% 0.01532847
98 Not asked 6735 NA


r15tdr20d


Variable label: Agree/disagree: Good that my county has been/is being merged with neighboring counties.
Pre-question text: To what extent do you agree or disagree with the following assertion:
Literal question: It is good that my county authority will be merged with one or more county authorities.
Technical description: [Asked if r15group = 6 and r15tdr20c = 1. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 89 11.5% 0.115135834
2 Agree 137 17.7% 0.177231565
3 Agree somewhat 96 12.4% 0.124191462
4 Neither agree nor disagree 129 16.7% 0.166882277
5 Disagree somewhat 70 9.1% 0.090556274
6 Disagree 103 13.3% 0.133247089
7 Strongly disagree 142 18.4% 0.183699871
97 Not answered 7 0.9% 0.009055627
98 Not asked 7332 NA


r15tdr21a


Variable label: How important to vote in general elections.
Literal question: How important is it for you to vote in the general election?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Very important to vote 902 65.8% 0.658394161
2 Important to vote 316 23.1% 0.230656934
3 Somewhat important to vote 49 3.6% 0.035766423
4 Not very important to vote 29 2.1% 0.021167883
5 Not important to vote at all 9 0.7% 0.006569343
6 I do not have the right to vote 48 3.5% 0.035036496
97 Not answered 17 1.2% 0.012408759
98 Not asked 6735 NA


r15tdr21b


Variable label: Would vote this party if parliamentary elections next week.
Literal question: Which party would you vote for if there was a general election next week?
Technical description: [Asked if r15group = 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-13]

Value Label Cases Percentage
1 The Christian Democrats 48 3.5% 0.03503650
2 The Conservative Party 268 19.6% 0.19562044
3 The Progress Party 96 7.0% 0.07007299
4 The Liberal Party 44 3.2% 0.03211679
5 The Socialist Left Party 100 7.3% 0.07299270
6 The Centre Party 181 13.2% 0.13211679
7 The Green Party 68 5.0% 0.04963504
8 The Labour Party 306 22.3% 0.22335766
9 The Red Party 94 6.9% 0.06861314
10 Would not vote 15 1.1% 0.01094891
11 Would cast a blank vote 33 2.4% 0.02408759
12 Not entitled to vote 31 2.3% 0.02262774
13 Other: 59 4.3% 0.04306569
97 Not answered 27 2.0% 0.01970803
98 Not asked 6735 NA


r15tdr21b_13_other


Variable label: Other [R15TDR21B]. [Data withheld for the sake of anonymity]
Literal question: Which party would you vote for if there was a general election next week?
Technical description: [Asked if r15group = 6. ] [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: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15pk6_1


Variable label: Like/dislike: Christian democratic party.
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties. Click the desired response.
Literal question: The Christian Democratic Party
Technical description: [Asked if r15group = 2 or 4 or 5 or 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 914 16.9% 0.16944753
2 Really dislike 1160 21.5% 0.21505376
3 Dislike somewhat 1283 23.8% 0.23785688
4 Neither dislike nor like 905 16.8% 0.16777901
5 Like somewhat 750 13.9% 0.13904338
6 Really like 193 3.6% 0.03578050
7 Intensely like 56 1.0% 0.01038191
97 Not answered 133 2.5% 0.02465703
98 Not asked 2711 NA


r15pk6_2


Variable label: Like/dislike: Conservative party.
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties. Click the desired response.
Literal question: The Conservative Party
Technical description: [Asked if r15group = 2 or 4 or 5 or 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 326 6.0% 0.06043752
2 Really dislike 808 15.0% 0.14979607
3 Dislike somewhat 1009 18.7% 0.18705970
4 Neither dislike nor like 660 12.2% 0.12235818
5 Like somewhat 1282 23.8% 0.23767149
6 Really like 977 18.1% 0.18112718
7 Intensely like 204 3.8% 0.03781980
97 Not answered 128 2.4% 0.02373007
98 Not asked 2711 NA


r15pk6_3


Variable label: Like/dislike: Progress party.
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties. Click the desired response.
Literal question: The Progress Party
Technical description: [Asked if r15group = 2 or 4 or 5 or 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 1759 32.6% 0.32610308
2 Really dislike 1022 18.9% 0.18946978
3 Dislike somewhat 775 14.4% 0.14367816
4 Neither dislike nor like 469 8.7% 0.08694846
5 Like somewhat 769 14.3% 0.14256581
6 Really like 382 7.1% 0.07081943
7 Intensely like 92 1.7% 0.01705599
97 Not answered 126 2.3% 0.02335929
98 Not asked 2711 NA


r15pk6_4


Variable label: Like/dislike: Liberal party.
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties. Click the desired response.
Literal question: The Liberal Party
Technical description: [Asked if r15group = 2 or 4 or 5 or 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 601 11.1% 0.111420096
2 Really dislike 889 16.5% 0.164812755
3 Dislike somewhat 1212 22.5% 0.224694105
4 Neither dislike nor like 1224 22.7% 0.226918799
5 Like somewhat 1043 19.3% 0.193362996
6 Really like 239 4.4% 0.044308491
7 Intensely like 40 0.7% 0.007415647
97 Not answered 146 2.7% 0.027067112
98 Not asked 2711 NA


r15pk6_5


Variable label: Like/dislike: Socialist left party.
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties. Click the desired response.
Literal question: The Socialist Left Party
Technical description: [Asked if r15group = 2 or 4 or 5 or 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 674 12.5% 0.12495365
2 Really dislike 862 16.0% 0.15980719
3 Dislike somewhat 855 15.9% 0.15850945
4 Neither dislike nor like 964 17.9% 0.17871709
5 Like somewhat 1074 19.9% 0.19911012
6 Really like 646 12.0% 0.11976270
7 Intensely like 188 3.5% 0.03485354
97 Not answered 131 2.4% 0.02428624
98 Not asked 2711 NA


r15pk6_6


Variable label: Like/dislike: Centre party.
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties. Click the desired response.
Literal question: The Centre Party
Technical description: [Asked if r15group = 2 or 4 or 5 or 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 285 5.3% 0.05283648
2 Really dislike 569 10.5% 0.10548758
3 Dislike somewhat 919 17.0% 0.17037449
4 Neither dislike nor like 1200 22.2% 0.22246941
5 Like somewhat 1426 26.4% 0.26436782
6 Really like 666 12.3% 0.12347052
7 Intensely like 193 3.6% 0.03578050
97 Not answered 136 2.5% 0.02521320
98 Not asked 2711 NA


r15pk6_7


Variable label: Like/dislike: Green party.
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties. Click the desired response.
Literal question: The Green Party
Technical description: [Asked if r15group = 2 or 4 or 5 or 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 914 16.9% 0.16944753
2 Really dislike 723 13.4% 0.13403782
3 Dislike somewhat 848 15.7% 0.15721172
4 Neither dislike nor like 844 15.6% 0.15647015
5 Like somewhat 1235 22.9% 0.22895810
6 Really like 554 10.3% 0.10270671
7 Intensely like 143 2.7% 0.02651094
97 Not answered 133 2.5% 0.02465703
98 Not asked 2711 NA


r15pk6_8


Variable label: Like/dislike: Labour party.
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties. Click the desired response.
Literal question: The Labour Party
Technical description: [Asked if r15group = 2 or 4 or 5 or 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 264 4.9% 0.04894327
2 Really dislike 469 8.7% 0.08694846
3 Dislike somewhat 960 17.8% 0.17797553
4 Neither dislike nor like 802 14.9% 0.14868372
5 Like somewhat 1544 28.6% 0.28624397
6 Really like 1018 18.9% 0.18872822
7 Intensely like 204 3.8% 0.03781980
97 Not answered 133 2.5% 0.02465703
98 Not asked 2711 NA


r15pk6_9


Variable label: Like/dislike: Red party.
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties. Click the desired response.
Literal question: The Red Party
Technical description: [Asked if r15group = 2 or 4 or 5 or 6. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 1104 20.5% 0.20467186
2 Really dislike 801 14.8% 0.14849833
3 Dislike somewhat 731 13.6% 0.13552095
4 Neither dislike nor like 967 17.9% 0.17927327
5 Like somewhat 1011 18.7% 0.18743048
6 Really like 472 8.8% 0.08750463
7 Intensely like 167 3.1% 0.03096033
97 Not answered 141 2.6% 0.02614016
98 Not asked 2711 NA


r15kmhc_1


Variable label: Forests- and climate knowledge: Afforestation contributes to reducing global warming.
Pre-question text: Please read the following statements regarding forests and climate change. The state is currently planning to use afforestation in Norway to reduce the amount of greenhouse gases in the atmosphere (specifically carbon dioxide or CO2). Generally speaking, the idea is that when trees grow, they absorb carbon dioxide from the air and store the carbon in their wood. At the same time, the complex connections between plants, soil and the climate are being researched, since there is so much that still isn’t known. Please consider these four statements. We will then ask you what you think about planting forests to reduce climate change. We are interested in finding out what you think is a correct or incorrect description of the role that Norwegian forests can play, based on what you have already heard or read about forests and climate change.
Literal question: Afforestation helps to reduce global warming.
Technical description: [Asked if 15group != 6 & (r12group = 3 | r12group = 4). The respondent is asked 4 randomly selected questions of 9 possible (r15kmhc_1 to r15kmhc_9). See missing code.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 I think this is probably right 530 62.6% 0.626477541
2 I think this is probably wrong 39 4.6% 0.046099291
3 I need more knowledge to have an opinion on this 232 27.4% 0.274231678
4 Don't know 38 4.5% 0.044917258
5 No response 1 0.1% 0.001182033
97 Not answered 6 0.7% 0.007092199
98 Not asked 7259 NA


r15kmhc_2


Variable label: Forests- and climate knowledge: Afforestation in Norway can bind as much climate gas as the Norwegian energy industry produces.
Pre-question text: Please read the following statements regarding forests and climate change. The state is currently planning to use afforestation in Norway to reduce the amount of greenhouse gases in the atmosphere (specifically carbon dioxide or CO2). Generally speaking, the idea is that when trees grow, they absorb carbon dioxide from the air and store the carbon in their wood. At the same time, the complex connections between plants, soil and the climate are being researched, since there is so much that still isn’t known. Please consider these four statements. We will then ask you what you think about planting forests to reduce climate change. We are interested in finding out what you think is a correct or incorrect description of the role that Norwegian forests can play, based on what you have already heard or read about forests and climate change.
Literal question: Afforestation in Norway can absorb as much greenhouse gas annually as is emitted from Norwegian energy production.
Technical description: [Asked if 15group != 6 & (r12group = 3 | r12group = 4). The respondent is asked 4 randomly selected questions of 9 possible (r15kmhc_1 to r15kmhc_9). See missing code.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 I think this is probably right 120 14.9% 0.148883375
2 I think this is probably wrong 154 19.1% 0.191066998
3 I need more knowledge to have an opinion on this 418 51.9% 0.518610422
4 Don't know 96 11.9% 0.119106700
5 No response 3 0.4% 0.003722084
97 Not answered 15 1.9% 0.018610422
98 Not asked 7299 NA


r15kmhc_3


Variable label: Forests- and climate knowledge: Afforestation has no negative consequences for climate and environment.
Pre-question text: Please read the following statements regarding forests and climate change. The state is currently planning to use afforestation in Norway to reduce the amount of greenhouse gases in the atmosphere (specifically carbon dioxide or CO2). Generally speaking, the idea is that when trees grow, they absorb carbon dioxide from the air and store the carbon in their wood. At the same time, the complex connections between plants, soil and the climate are being researched, since there is so much that still isn’t known. Please consider these four statements. We will then ask you what you think about planting forests to reduce climate change. We are interested in finding out what you think is a correct or incorrect description of the role that Norwegian forests can play, based on what you have already heard or read about forests and climate change.
Literal question: Afforestation to help the climate has no negative consequences for nature and the environment.
Technical description: [Asked if 15group != 6 & (r12group = 3 | r12group = 4). The respondent is asked 4 randomly selected questions of 9 possible (r15kmhc_1 to r15kmhc_9). See missing code.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 I think this is probably right 364 45.0% 0.450495050
2 I think this is probably wrong 110 13.6% 0.136138614
3 I need more knowledge to have an opinion on this 267 33.0% 0.330445545
4 Don't know 53 6.6% 0.065594059
5 No response 3 0.4% 0.003712871
97 Not answered 11 1.4% 0.013613861
98 Not asked 7297 NA


r15kmhc_4


Variable label: Forests- and climate knowledge: Planted forest binds more climate gas than other nature types.
Pre-question text: Please read the following statements regarding forests and climate change. The state is currently planning to use afforestation in Norway to reduce the amount of greenhouse gases in the atmosphere (specifically carbon dioxide or CO2). Generally speaking, the idea is that when trees grow, they absorb carbon dioxide from the air and store the carbon in their wood. At the same time, the complex connections between plants, soil and the climate are being researched, since there is so much that still isn’t known. Please consider these four statements. We will then ask you what you think about planting forests to reduce climate change. We are interested in finding out what you think is a correct or incorrect description of the role that Norwegian forests can play, based on what you have already heard or read about forests and climate change.
Literal question: Planted spruce forests have a greater ability to absorb and store greenhouse gases than other types of nature (e.g. natural forests, marshland, open cultivated landscapes).
Technical description: [Asked if 15group != 6 & (r12group = 3 | r12group = 4). The respondent is asked 4 randomly selected questions of 9 possible (r15kmhc_1 to r15kmhc_9). See missing code.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 I think this is probably right 170 20.7% 0.207317073
2 I think this is probably wrong 123 15.0% 0.150000000
3 I need more knowledge to have an opinion on this 421 51.3% 0.513414634
4 Don't know 94 11.5% 0.114634146
5 No response 2 0.2% 0.002439024
97 Not answered 10 1.2% 0.012195122
98 Not asked 7285 NA


r15kmhc_5


Variable label: Forests- and climate knowledge: Natural forests have equal gas-binding capabilities as planted forests.
Pre-question text: Please read the following statements regarding forests and climate change. The state is currently planning to use afforestation in Norway to reduce the amount of greenhouse gases in the atmosphere (specifically carbon dioxide or CO2). Generally speaking, the idea is that when trees grow, they absorb carbon dioxide from the air and store the carbon in their wood. At the same time, the complex connections between plants, soil and the climate are being researched, since there is so much that still isn’t known. Please consider these four statements. We will then ask you what you think about planting forests to reduce climate change. We are interested in finding out what you think is a correct or incorrect description of the role that Norwegian forests can play, based on what you have already heard or read about forests and climate change.
Literal question: Today, open areas in Norway are becoming overgrown with mixed forests. These natural forests have the same capacity to absorb and store greenhouse gases as planted pine forests.
Technical description: [Asked if 15group != 6 & (r12group = 3 | r12group = 4). The respondent is asked 4 randomly selected questions of 9 possible (r15kmhc_1 to r15kmhc_9). See missing code.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 I think this is probably right 275 33.3% 0.333333333
2 I think this is probably wrong 72 8.7% 0.087272727
3 I need more knowledge to have an opinion on this 374 45.3% 0.453333333
4 Don't know 92 11.2% 0.111515152
5 No response 3 0.4% 0.003636364
97 Not answered 9 1.1% 0.010909091
98 Not asked 7280 NA


r15kmhc_6


Variable label: Forests- and climate knowledge: In forests, more gas is bound underground than in wood over the ground.
Pre-question text: Please read the following statements regarding forests and climate change. The state is currently planning to use afforestation in Norway to reduce the amount of greenhouse gases in the atmosphere (specifically carbon dioxide or CO2). Generally speaking, the idea is that when trees grow, they absorb carbon dioxide from the air and store the carbon in their wood. At the same time, the complex connections between plants, soil and the climate are being researched, since there is so much that still isn’t known. Please consider these four statements. We will then ask you what you think about planting forests to reduce climate change. We are interested in finding out what you think is a correct or incorrect description of the role that Norwegian forests can play, based on what you have already heard or read about forests and climate change.
Literal question: In forests, larger amounts of greenhouse gases are trapped and bound underground, in roots and soil, than in the wood of trees above the ground.
Technical description: [Asked if 15group != 6 & (r12group = 3 | r12group = 4). The respondent is asked 4 randomly selected questions of 9 possible (r15kmhc_1 to r15kmhc_9). See missing code.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 I think this is probably right 144 18.3% 0.182509506
2 I think this is probably wrong 80 10.1% 0.101394170
3 I need more knowledge to have an opinion on this 430 54.5% 0.544993663
4 Don't know 119 15.1% 0.150823828
5 No response 2 0.3% 0.002534854
97 Not answered 14 1.8% 0.017743980
98 Not asked 7316 NA


r15kmhc_7


Variable label: Forests- and climate knowledge: Natural forests have greater biodiversity than planted forests.
Pre-question text: Please read the following statements regarding forests and climate change. The state is currently planning to use afforestation in Norway to reduce the amount of greenhouse gases in the atmosphere (specifically carbon dioxide or CO2). Generally speaking, the idea is that when trees grow, they absorb carbon dioxide from the air and store the carbon in their wood. At the same time, the complex connections between plants, soil and the climate are being researched, since there is so much that still isn’t known. Please consider these four statements. We will then ask you what you think about planting forests to reduce climate change. We are interested in finding out what you think is a correct or incorrect description of the role that Norwegian forests can play, based on what you have already heard or read about forests and climate change.
Literal question: Natural forests have a greater diversity of plants and animals (biodiversity) than planted forests.
Technical description: [Asked if 15group != 6 & (r12group = 3 | r12group = 4). The respondent is asked 4 randomly selected questions of 9 possible (r15kmhc_1 to r15kmhc_9). See missing code.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 I think this is probably right 575 67.9% 0.678866588
2 I think this is probably wrong 44 5.2% 0.051948052
3 I need more knowledge to have an opinion on this 165 19.5% 0.194805195
4 Don't know 49 5.8% 0.057851240
5 No response 2 0.2% 0.002361275
97 Not answered 12 1.4% 0.014167651
98 Not asked 7258 NA


r15kmhc_8


Variable label: Forests- and climate knowledge: Planted spruce forest has equal biodiversity to open cultural landscapes.
Pre-question text: Please read the following statements regarding forests and climate change. The state is currently planning to use afforestation in Norway to reduce the amount of greenhouse gases in the atmosphere (specifically carbon dioxide or CO2). Generally speaking, the idea is that when trees grow, they absorb carbon dioxide from the air and store the carbon in their wood. At the same time, the complex connections between plants, soil and the climate are being researched, since there is so much that still isn’t known. Please consider these four statements. We will then ask you what you think about planting forests to reduce climate change. We are interested in finding out what you think is a correct or incorrect description of the role that Norwegian forests can play, based on what you have already heard or read about forests and climate change.
Literal question: Planted spruce forests have just as much diversity regarding plants and animals as open cultivated landscapes.
Technical description: [Asked if 15group != 6 & (r12group = 3 | r12group = 4). The respondent is asked 4 randomly selected questions of 9 possible (r15kmhc_1 to r15kmhc_9). See missing code.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 I think this is probably right 115 14.2% 0.141800247
2 I think this is probably wrong 348 42.9% 0.429099877
3 I need more knowledge to have an opinion on this 256 31.6% 0.315659679
4 Don't know 79 9.7% 0.097410604
5 No response 1 0.1% 0.001233046
97 Not answered 12 1.5% 0.014796547
98 Not asked 7294 NA


r15kmhc_9


Variable label: Forests- and climate knowledge: Afforestation in Norway is an beneficial to the climate as planting it in tropical regions.
Pre-question text: Please read the following statements regarding forests and climate change. The state is currently planning to use afforestation in Norway to reduce the amount of greenhouse gases in the atmosphere (specifically carbon dioxide or CO2). Generally speaking, the idea is that when trees grow, they absorb carbon dioxide from the air and store the carbon in their wood. At the same time, the complex connections between plants, soil and the climate are being researched, since there is so much that still isn’t known. Please consider these four statements. We will then ask you what you think about planting forests to reduce climate change. We are interested in finding out what you think is a correct or incorrect description of the role that Norwegian forests can play, based on what you have already heard or read about forests and climate change.
Literal question: Planting forests in Norway has the same climate benefits as planting forests in tropical regions.
Technical description: [Asked if 15group != 6 & (r12group = 3 | r12group = 4). The respondent is asked 4 randomly selected questions of 9 possible (r15kmhc_1 to r15kmhc_9). See missing code.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 I think this is probably right 163 20.1% 0.200738916
2 I think this is probably wrong 172 21.2% 0.211822660
3 I need more knowledge to have an opinion on this 361 44.5% 0.444581281
4 Don't know 102 12.6% 0.125615764
5 No response 3 0.4% 0.003694581
97 Not answered 11 1.4% 0.013546798
98 Not asked 7293 NA


r15kmhc_b


Variable label: For/against: Afforestation in Norway to reduce climate change.
Literal question: Generally speaking, do you support or oppose the planting of forests in Norway to reduce climate change?
Technical description: [Asked if 15group != 6 & (r12group = 3 | r12group = 4) ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly oppose 23 1.2% 0.01244589
2 Oppose 77 4.2% 0.04166667
3 Somewhat oppose 110 6.0% 0.05952381
4 Neither support nor oppose 458 24.8% 0.24783550
5 Somewhat support 347 18.8% 0.18777056
6 Support 644 34.8% 0.34848485
7 Strongly support 170 9.2% 0.09199134
97 Not answered 19 1.0% 0.01028139
98 Not asked 6257 NA


r15kmhc_open


Variable label: Comment [R15KMHC]. [Data withheld for the sake of anonymity]
Literal question: You can comment here:
Technical description: [Asked if 15group != 6 & (r12group = 3 | r12group = 4) ] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15kmhc_c_1


Variable label: Have you during the last 12 months: Hunting.
Pre-question text: During the last 12 months, have you participated in one or more of the activities below?
Literal question: Hunting
Post-question: You can tick as many boxes as you like.
Technical description: [Asked if 15group != 6 & (r12group = 3 | r12group = 4) ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Hunting 133 7.2% 0.071969697
97 Not answered 14 0.8% 0.007575758
98 Not asked 6257 NA
0 1701 92.0% 0.920454545


r15kmhc_c_2


Variable label: Have you during the last 12 months: Fishing.
Pre-question text: During the last 12 months, have you participated in one or more of the activities below?
Literal question: Fishing
Post-question: You can tick as many boxes as you like.
Technical description: [Asked if 15group != 6 & (r12group = 3 | r12group = 4) ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Fishing 560 30.3% 0.303030303
97 Not answered 14 0.8% 0.007575758
98 Not asked 6257 NA
0 1274 68.9% 0.689393939


r15kmhc_c_3


Variable label: Have you during the last 12 months: Hiked in the forest.
Pre-question text: During the last 12 months, have you participated in one or more of the activities below?
Literal question: Hiking in the forest
Post-question: You can tick as many boxes as you like.
Technical description: [Asked if 15group != 6 & (r12group = 3 | r12group = 4) ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Hiking in the forest 1626 88.0% 0.879870130
97 Not answered 14 0.8% 0.007575758
98 Not asked 6257 NA
0 208 11.3% 0.112554113


r15kmhc_c_4


Variable label: Have you during the last 12 months: Hiked in the mountain.
Pre-question text: During the last 12 months, have you participated in one or more of the activities below?
Literal question: Hiking in the mountains
Post-question: You can tick as many boxes as you like.
Technical description: [Asked if 15group != 6 & (r12group = 3 | r12group = 4) ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Hiking in the mountains 1188 64.3% 0.642857143
97 Not answered 14 0.8% 0.007575758
98 Not asked 6257 NA
0 646 35.0% 0.349567100


r15kmhc_c_5


Variable label: Have you during the last 12 months: Boat trip (leisure boat).
Pre-question text: During the last 12 months, have you participated in one or more of the activities below?
Literal question: Boat trip (leisure boat)
Post-question: You can tick as many boxes as you like.
Technical description: [Asked if 15group != 6 & (r12group = 3 | r12group = 4) ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Boat trip (leisure boat) 822 44.5% 0.444805195
97 Not answered 14 0.8% 0.007575758
98 Not asked 6257 NA
0 1012 54.8% 0.547619048


r15byrakrat_conjoint_ran0a


Variable label: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects measure in r15byrakrat_conjoint1_respons.]
Technical description: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects measure in r15byrakrat_conjoint1_respons.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:2813] [Invalid:5292] [Range:1-2]

Value Label Cases Percentage
1 increased privatisation of the municipality’s care and nursing services 1445 51.4% 0.5136865
2 increased use of tolls 1368 48.6% 0.4863135
Sysmiss 5292 NA


r15byrakrat_conjoint_ran0b


Variable label: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects subject in r15byrakrat_conjoint1_respons.]
Technical description: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects subject in r15byrakrat_conjoint1_respons.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:2813] [Invalid:5292] [Range:1-2]

Value Label Cases Percentage
1 care and nursing services 1445 51.4% 0.5136865
2 transportation 1368 48.6% 0.4863135
Sysmiss 5292 NA


r15byrakrat_conjoint_ran0c


Variable label: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects question in r15byrakrat_conjoint1_respons.]
Technical description: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects question in r15byrakrat_conjoint1_respons.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:2813] [Invalid:5292] [Range:1-2]

Value Label Cases Percentage
1 Which of these municipal employees do you think is best suited to lead the expert group? 1398 49.7% 0.4969783
2 If the group had been led by one of them, which recommendation would you trust the most? 1415 50.3% 0.5030217
Sysmiss 5292 NA


r15byrakrat_conjoint_ran0c2


Variable label: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Specifies the response options based on the value in r15byrakrat_conjoint_ran0c for person 1 in r15byrakrat_conjoint1_respons.]
Technical description: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Specifies the response options based on the value in r15byrakrat_conjoint_ran0c for person 1 in r15byrakrat_conjoint1_respons.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:2813] [Invalid:5292] [Range:1-2]

Value Label Cases Percentage
1 Municipal employee 1398 49.7% 0.4969783
2 The recommendation from the group led by municipal employee 1415 50.3% 0.5030217
Sysmiss 5292 NA


r15byrakrat_conjoint1_ran11


Variable label: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects education for person 1 in r15byrakrat_conjoint1_respons.]
Technical description: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects education for person 1 in r15byrakrat_conjoint1_respons.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:2813] [Invalid:5292] [Range:1-2]

Value Label Cases Percentage
1 Has higher education 1453 51.7% 0.5165304
2 Does not have higher education 1360 48.3% 0.4834696
Sysmiss 5292 NA


r15byrakrat_conjoint1_ran12


Variable label: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects gender for person 1 in r15byrakrat_conjoint1_respons.]
Technical description: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects gender for person 1 in r15byrakrat_conjoint1_respons.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:2813] [Invalid:5292] [Range:1-2]

Value Label Cases Percentage
1 Male 1397 49.7% 0.4966228
2 Female 1416 50.3% 0.5033772
Sysmiss 5292 NA


r15byrakrat_conjoint1_ran13


Variable label: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects age for person 1 in r15byrakrat_conjoint1_respons.]
Technical description: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects age for person 1 in r15byrakrat_conjoint1_respons.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:2813] [Invalid:5292] [Range:1-4]

Value Label Cases Percentage
1 35 years old 669 23.8% 0.2378244
2 45 years old 711 25.3% 0.2527551
3 55 years old 731 26.0% 0.2598649
4 65 years old 702 25.0% 0.2495556
Sysmiss 5292 NA


r15byrakrat_conjoint1_ran14


Variable label: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects professional experience for person 1 in r15byrakrat_conjoint1_respons.]
Technical description: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects professional experience for person 1 in r15byrakrat_conjoint1_respons.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:2813] [Invalid:5292] [Range:1-4]

Value Label Cases Percentage
1 has only worked in the public sector 661 23.5% 0.2349804
2 has mainly worked in the public sector 731 26.0% 0.2598649
3 has mainly worked in the private sector 714 25.4% 0.2538215
4 has only worked in the private sector 707 25.1% 0.2513331
Sysmiss 5292 NA


r15byrakrat_conjoint1_ran15


Variable label: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects occupational position for person 1 in r15byrakrat_conjoint1_respons.]
Technical description: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects occupational position for person 1 in r15byrakrat_conjoint1_respons.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:2813] [Invalid:5292] [Range:1-3]

Value Label Cases Percentage
1 Is a top manager in the municipality 924 32.8% 0.3284749
2 Is a mid-level manager for the municipality 900 32.0% 0.3199431
3 Does not have managerial responsibilities 989 35.2% 0.3515819
Sysmiss 5292 NA


r15byrakrat_conjoint1_ran16


Variable label: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects political engagement for person 1 in r15byrakrat_conjoint1_respons.]
Technical description: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects political involvement for person 1 in r15byrakrat_conjoint1_respons.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:2813] [Invalid:5292] [Range:1-5]

Value Label Cases Percentage
1 has previously been active in the mayor's political party 577 20.5% 0.2051191
2 is active in the mayor's political party 518 18.4% 0.1841450
3 has previously been active in a political party other than the mayor's party 572 20.3% 0.2033416
4 is active in a political party other than the mayor's party 576 20.5% 0.2047636
5 has never been active in a political party 570 20.3% 0.2026306
Sysmiss 5292 NA


r15byrakrat_conjoint1_ran17


Variable label: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects area of expertise for person 1 in r15byrakrat_conjoint1_respons.]
Technical description: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects area of expertise for person 1 in r15byrakrat_conjoint1_respons.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:2813] [Invalid:5292] [Range:1-3]

Value Label Cases Percentage
1 has mostly worked with [care and nursing services / transport] 940 33.4% 0.3341628
2 has worked on various tasks in his/her previous career 900 32.0% 0.3199431
3 has mostly worked on school and education 973 34.6% 0.3458941
Sysmiss 5292 NA


r15byrakrat_conjoint1_ran21


Variable label: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects education for person 2 in r15byrakrat_conjoint1_respons.]
Technical description: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects education for person 2 in r15byrakrat_conjoint1_respons.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:2813] [Invalid:5292] [Range:1-2]

Value Label Cases Percentage
1 Has higher education 1332 47.4% 0.4735158
2 Does not have higher education 1481 52.6% 0.5264842
Sysmiss 5292 NA


r15byrakrat_conjoint1_ran22


Variable label: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects gender for person 2 in r15byrakrat_conjoint1_respons.]
Technical description: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects gender for person 2 in r15byrakrat_conjoint1_respons.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:2813] [Invalid:5292] [Range:1-2]

Value Label Cases Percentage
1 Male 1392 49.5% 0.4948454
2 Female 1421 50.5% 0.5051546
Sysmiss 5292 NA


r15byrakrat_conjoint1_ran23


Variable label: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects age for person 2 in r15byrakrat_conjoint1_respons.]
Technical description: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects age for person 2 in r15byrakrat_conjoint1_respons.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:2813] [Invalid:5292] [Range:1-4]

Value Label Cases Percentage
1 35 years old 670 23.8% 0.2381799
2 45 years old 692 24.6% 0.2460007
3 55 years old 727 25.8% 0.2584429
4 65 years old 724 25.7% 0.2573765
Sysmiss 5292 NA


r15byrakrat_conjoint1_ran24


Variable label: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects professional experience for person 2 in r15byrakrat_conjoint1_respons.]
Technical description: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects professional experience for person 2 in r15byrakrat_conjoint1_respons.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:2813] [Invalid:5292] [Range:1-4]

Value Label Cases Percentage
1 has only worked in the public sector 701 24.9% 0.2492001
2 has mainly worked in the public sector 694 24.7% 0.2467117
3 has mainly worked in the private sector 707 25.1% 0.2513331
4 has only worked in the private sector 711 25.3% 0.2527551
Sysmiss 5292 NA


r15byrakrat_conjoint1_ran25


Variable label: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects occupational position for person 2 in r15byrakrat_conjoint1_respons.]
Technical description: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects occupational position for person 2 in r15byrakrat_conjoint1_respons.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:2813] [Invalid:5292] [Range:1-3]

Value Label Cases Percentage
1 Is a top manager in the municipality 966 34.3% 0.3434056
2 Is a mid-level manager for the municipality 952 33.8% 0.3384287
3 Does not have managerial responsibilities 895 31.8% 0.3181657
Sysmiss 5292 NA


r15byrakrat_conjoint1_ran26


Variable label: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects political engagement for person 2 in r15byrakrat_conjoint1_respons.]
Technical description: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects political involvementfor person 2 in r15byrakrat_conjoint1_respons.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:2813] [Invalid:5292] [Range:1-5]

Value Label Cases Percentage
1 has previously been active in the mayor's political party 570 20.3% 0.2026306
2 is active in the mayor's political party 592 21.0% 0.2104515
3 has previously been active in a political party other than the mayor's party 569 20.2% 0.2022752
4 is active in a political party other than the mayor's party 533 18.9% 0.1894774
5 has never been active in a political party 549 19.5% 0.1951653
Sysmiss 5292 NA


r15byrakrat_conjoint1_ran27


Variable label: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects area of expertise for person 2 in r15byrakrat_conjoint1_respons.]
Technical description: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Background variable. Randomly selects area of expertise for person 2 in r15byrakrat_conjoint1_respons.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:2813] [Invalid:5292] [Range:1-3]

Value Label Cases Percentage
1 has mostly worked with [care and nursing services / transport] 981 34.9% 0.348738
2 has worked on various tasks in his/her previous career 918 32.6% 0.326342
3 has mostly worked on school and education 914 32.5% 0.324920
Sysmiss 5292 NA


r15byrakrat_conjoint1_respons


Variable label: Bureaucrat recruitment, conjoint-experiment.
Pre-question text:

Imagine that your municipality is considering [increased privatisation of the municipality’s care and nursing services / increased use of tolls]. An expert group shall provide a professionally based recommendation about what the municipality should do. The local newspaper reports that the choice of chairperson for the expert group is between two municipal employees. Please read the description of both of these municipal employees carefully and consider the question below.

[Table with characteristics of two different persons: Education, gender, age, professional experience, occupational position, political involvement, area of expertise]
Literal question: [Which of these municipal employees do you think is best suited to lead the expert group? / If the group had been led by one of them, which recommendation would you trust the most?]
Technical description: [Randomizes if r15rekruttert != 1 or 3 and r15group =! 6 and question about forest is not answered (kmhc). Conjoint-Experiment. Respondents are exposed to two people with varying characteristics. The characteristics of the persons and the question asked the respondent are chosen at random. See background variables.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 [Municipal employee 1 / The recommendation from the group led by municipal employee 1] 1336 47.0% 0.47009148
2 [Municipal employee 2 / The recommendation from the group led by municipal employee 2] 1379 48.5% 0.48522167
97 Not answered 127 4.5% 0.04468684
98 Not asked 5263 NA


r15polkom7_overskrift1


Variable label: [Randomizes if (r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3) Background variable. Randomly selects headline for r15polkom7_1.]
Technical description: [Randomizes if (r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3) Background variable. Randomly selects headline for r15polkom7_1.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:2500] [Invalid:5605] [Range:7-1440]



r15polkom7_overskrift2


Variable label: [Randomizes if (r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3) Background variable. Randomly selects headline for r15polkom7_2.]
Technical description: [Randomizes if (r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3) Background variable. Randomly selects headline for r15polkom7_2.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:2500] [Invalid:5605] [Range:9-1440]



r15polkom7_overskrift3


Variable label: [Randomizes if (r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3) Background variable. Randomly selects headline for r15polkom7_3.]
Technical description: [Randomizes if (r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3) Background variable. Randomly selects headline for r15polkom7_3.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:2500] [Invalid:5605] [Range:7-1440]



r15polkom7_overskrift4


Variable label: [Randomizes if (r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3) Background variable. Randomly selects headline for r15polkom7_4.]
Technical description: [Randomizes if (r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3) Background variable. Randomly selects headline for r15polkom7_4.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:2500] [Invalid:5605] [Range:7-1439]



r15polkom7_1


Variable label: Headlines, would read which articles [R15POLKOM7_OVERSKRIFT1].
Pre-question text: Our aim is to study people’s routines pertaining to the media. Below are some headings that one would expect to find in Norwegian online newspapers.
Literal question: Let’s say that you had to read two of them, which two would you prefer to read?
Technical description: [Asked if (r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3). Displays randomly selected headlines as specified by r15polkom7_overskrift1. In total, the respondent is shown 4 randomly selected headlines. See background variables.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 [The value of r15polkom7_overskrift1] 1169 46.3% 0.46260388
97 Not answered 30 1.2% 0.01187178
98 Not asked 5578 NA
0 1328 52.6% 0.52552434


r15polkom7_2


Variable label: Headlines, would read which articles [R15POLKOM7_OVERSKRIFT2].
Pre-question text: Our aim is to study people’s routines pertaining to the media. Below are some headings that one would expect to find in Norwegian online newspapers.
Literal question: Let’s say that you had to read two of them, which two would you prefer to read?
Technical description: [Asked if (r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3). Displays randomly selected headlines as specified by r15polkom7_overskrift2. In total, the respondent is shown 4 randomly selected headlines. See background variables.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 [The value of r15polkom7_overskrift2] 1155 45.7% 0.45706371
97 Not answered 30 1.2% 0.01187178
98 Not asked 5578 NA
0 1342 53.1% 0.53106450


r15polkom7_3


Variable label: Headlines, would read which articles [R15POLKOM7_OVERSKRIFT3].
Pre-question text: Our aim is to study people’s routines pertaining to the media. Below are some headings that one would expect to find in Norwegian online newspapers.
Literal question: Let’s say that you had to read two of them, which two would you prefer to read?
Technical description: [Asked if (r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3). Displays randomly selected headlines as specified by r15polkom7_overskrift3. In total, the respondent is shown 4 randomly selected headlines. See background variables.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 [The value of r15polkom7_overskrift3] 1115 44.1% 0.44123467
97 Not answered 30 1.2% 0.01187178
98 Not asked 5578 NA
0 1382 54.7% 0.54689355


r15polkom7_4


Variable label: Headlines, would read which articles [R15POLKOM2_OVERSKRIFT4].
Pre-question text: Our aim is to study people’s routines pertaining to the media. Below are some headings that one would expect to find in Norwegian online newspapers.
Literal question: Let’s say that you had to read two of them, which two would you prefer to read?
Technical description: [Asked if (r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3). Displays randomly selected headlines as specified by r15polkom7_overskrift4. In total, the respondent is shown 4 randomly selected headlines. See background variables.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 [The value of r15polkom7_overskrift4] 1140 45.1% 0.45112782
97 Not answered 30 1.2% 0.01187178
98 Not asked 5578 NA
0 1357 53.7% 0.53700040


r15polkom7_ignored


Variable label: [ Background variable. Specifies whether the respondent attempted to proceed without giving a response to r15polkom7. If yes, the respondent received the following prompt and encouraged to answer: “Are you sure you do not want to choose news items, press ‘next’ if you still do not want to answer the question.” (translated)]
Technical description: [ Background variable. Specifies whether the respondent attempted to proceed without giving a response to r15polkom7. If yes, the respondent received the following prompt and encouraged to answer: “Are you sure you do not want to choose news items, press ‘next’ if you still do not want to answer the question.” (translated)]
Technical attributes: [Question type: -] [Format:numeric] [Valid:85] [Invalid:8020] [Range:1-1]

Value Label Cases Percentage
1 Respondent clicked "Next" without answering, was prompted to respond 85 100.0% 1
Sysmiss 8020 NA


r15polkom72_ran


Variable label: [Randomizes if (r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3) Background variable. Specifies whether the respondent is to receive r15polkom72. The selection is random, but with 33% probability of getting r15polkom72.]
Technical description: [Randomizes if (r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3) Background variable. Specifies whether the respondent is to receive r15polkom72. The selection is random, but with 33% probability of getting r15polkom72.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:2497] [Invalid:5608] [Range:1-2]

Value Label Cases Percentage
1 Respondent gets r15polkom72 803 32.2% 0.3215859
2 Respondenten does not get r15polkom72 1694 67.8% 0.6784141
Sysmiss 5608 NA


r15polkom72_overskrift1


Variable label: [Randomizes if ((r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3)) & r15polkom72_ran = 1 Background variable. Randomly selects headline for r15polkom72_1.]
Technical description: [Randomizes if ((r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3)) & r15polkom72_ran = 1 Background variable. Randomly selects headline for r15polkom72_1.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:803] [Invalid:7302] [Range:11-1437]



r15polkom72_overskrift2


Variable label: [Randomizes if ((r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3)) & r15polkom72_ran = 1 Background variable. Randomly selects headline for r15polkom72_2.]
Technical description: [Randomizes if ((r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3)) & r15polkom72_ran = 1 Background variable. Randomly selects headline for r15polkom72_2.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:803] [Invalid:7302] [Range:9-1438]



r15polkom72_overskrift3


Variable label: [Randomizes if ((r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3)) & r15polkom72_ran = 1 Background variable. Randomly selects headline for r15polkom72_3.]
Technical description: [Randomizes if ((r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3)) & r15polkom72_ran = 1 Background variable. Randomly selects headline for r15polkom72_3.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:803] [Invalid:7302] [Range:9-1437]



r15polkom72_overskrift4


Variable label: [Randomizes if ((r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3)) & r15polkom72_ran = 1 Background variable. Randomly selects headline for r15polkom72_4.]
Technical description: [Randomizes if ((r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3)) & r15polkom72_ran = 1 Background variable. Randomly selects headline for r15polkom72_4.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:803] [Invalid:7302] [Range:7-1439]



r15polkom72_1


Variable label: Headlines, would read which articles [R15POLKOM72_OVERSKRIFT1].
Pre-question text: Here are some more headings that one would expect to find in Norwegian online newspapers.
Literal question: Let’s say that you had to read two of them, which two would you prefer to read?
Technical description: [Asked if ((r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3)) & r15polkom72_ran = 1. Displays randomly selected headlines as specified by r15polkom72_overskrift1. In total, the respondent is shown 4 randomly selected headlines. See background variables.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 [The value of r15polkom72_overskrift1] 388 48.3% 0.483188
97 Not answered 0 0.0% 0.000000
98 Not asked 7302 NA
0 415 51.7% 0.516812


r15polkom72_2


Variable label: Headlines, would read which articles [R15POLKOM72_OVERSKRIFT2].
Pre-question text: Here are some more headings that one would expect to find in Norwegian online newspapers.
Literal question: Let’s say that you had to read two of them, which two would you prefer to read?
Technical description: [Asked if ((r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3)) & r15polkom72_ran = 1. Displays randomly selected headlines as specified by r15polkom72_overskrift2. In total, the respondent is shown 4 randomly selected headlines. See background variables.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 [The value of r15polkom72_overskrift2] 350 43.6% 0.4358655
97 Not answered 0 0.0% 0.0000000
98 Not asked 7302 NA
0 453 56.4% 0.5641345


r15polkom72_3


Variable label: Headlines, would read which articles [R15POLKOM72_OVERSKRIFT3].
Pre-question text: Here are some more headings that one would expect to find in Norwegian online newspapers.
Literal question: Let’s say that you had to read two of them, which two would you prefer to read?
Technical description: [Asked if ((r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3)) & r15polkom72_ran = 1. Displays randomly selected headlines as specified by r15polkom72_overskrift3. In total, the respondent is shown 4 randomly selected headlines. See background variables.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 [The value of r15polkom72_overskrift3] 380 47.3% 0.4732254
97 Not answered 0 0.0% 0.0000000
98 Not asked 7302 NA
0 423 52.7% 0.5267746


r15polkom72_4


Variable label: Headlines, would read which articles [R15POLKOM72_OVERSKRIFT4].
Pre-question text: Here are some more headings that one would expect to find in Norwegian online newspapers.
Literal question: Let’s say that you had to read two of them, which two would you prefer to read?
Technical description: [Asked if ((r15group != 6 & r12group != 3) & (r15rekruttert = 1 or 3)) & r15polkom72_ran = 1. Displays randomly selected headlines as specified by r15polkom72_overskrift4. In total, the respondent is shown 4 randomly selected headlines. See background variables.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 [The value of r15polkom72_overskrift4] 367 45.7% 0.4570361
97 Not answered 0 0.0% 0.0000000
98 Not asked 7302 NA
0 436 54.3% 0.5429639


r15polkom72_ignored


Variable label: [ Background variable. Specifies whether the respondent attempted to proceed without giving a response to r15polkom72. If yes, the respondent received the following prompt and encouraged to answer: “Are you sure you do not want to choose news items, press ‘next’ if you still do not want to answer the question.” (translated)]
Technical description: [ Background variable. Specifies whether the respondent attempted to proceed without giving a response to r15polkom72. If yes, the respondent received the following prompt and encouraged to answer: “Are you sure you do not want to choose news items, press ‘next’ if you still do not want to answer the question.” (translated)]
Technical attributes: [Question type: -] [Format:numeric] [Valid:41] [Invalid:8064] [Range:1-1]

Value Label Cases Percentage
1 Respondent clicked "Next" without answering, was prompted to respond 41 100.0% 1
Sysmiss 8064 NA


r15arbeidolje1


Variable label: Work(ed) in or near the oil- and gas industry.
Literal question: [Do/did] you work in the oil or gas industry, or is your job closely associated with it?
Technical description: [Asked if r15rekruttert = 14 and r14bk33 = 1 | 2 | 3 | 4 | 6 | 7 | 9. Respondents who are not unemployed or retired did not receive an alternative 3.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Yes, I [work/worked] in the oil or gas industry 50 4.1% 0.04132231
2 Yes, my job [is/was] closely associated with the oil or gas industry 38 3.1% 0.03140496
3 No, but previously I have worked in the oil/gas industry, or have been closely associated with it 48 4.0% 0.03966942
4 No 1044 86.3% 0.86280992
97 Not answered 30 2.5% 0.02479339
98 Not asked 6895 NA


r15_arbeidolje2


Variable label: Started first job in or near oil- and gas industry when.
Literal question: When did you start your first job in the oil or gas industry (or your first job closely associated with the oil and gas industry)?
Technical description: [Asked if r15rekruttert = 14 and (r14bk33 = 1 | 2 | 3 | 4 | 6 | 7 | 9) and (r15arbeidolje1 = 1 | 2 | 3) ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Before 1980 14 10.3% 0.102941176
2 1980-89 40 29.4% 0.294117647
3 1990-99 31 22.8% 0.227941176
4 2000-2009 30 22.1% 0.220588235
5 After 2009 20 14.7% 0.147058824
97 Not answered 1 0.7% 0.007352941
98 Not asked 7969 NA


r15arbeidolje_2b


Variable label: Comment [R15_ARBEIDOLJE2]. [Data withheld for the sake of anonymity]
Literal question: If you have additional comments, please write them here:
Technical description: [Asked if r15rekruttert = 14 and (r14bk33 = 1 | 2 | 3 | 4 | 6 | 7 | 9) and (r15arbeidolje1 = 1 | 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: [Question type: -] [Format:character] [Valid:8105] [Invalid:0] [Range:-]



r15bfi10_1


Variable label: Describes you how well: Reserved.
Pre-question text:

How well does the following statement describe your personality?

I see myself as someone who …
Literal question: … is reserved
Technical description: [All respondents asked. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Disagree strongly 1423 17.6% 0.17557064
2 Disagree a little 1909 23.6% 0.23553362
3 Neither agree nor disagree 1349 16.6% 0.16644047
4 Agree a little 2704 33.4% 0.33362122
5 Agree strongly 469 5.8% 0.05786552
97 Not answered 251 3.1% 0.03096854


r15bfi10_2


Variable label: Describes you how well: Generally trusting.
Pre-question text:

How well does the following statement describe your personality?

I see myself as someone who …
Literal question: … is generally trusting
Technical description: [All respondents asked. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Disagree strongly 173 2.1% 0.02134485
2 Disagree a little 671 8.3% 0.08278840
3 Neither agree nor disagree 942 11.6% 0.11622455
4 Agree a little 3786 46.7% 0.46711906
5 Agree strongly 2324 28.7% 0.28673658
97 Not answered 209 2.6% 0.02578655


r15bfi10_3


Variable label: Describes you how well: Tendency to be lazy.
Pre-question text:

How well does the following statement describe your personality?

I see myself as someone who …
Literal question: … tend to be lazy
Technical description: [All respondents asked. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Disagree strongly 2693 33.2% 0.33226403
2 Disagree a little 2188 27.0% 0.26995682
3 Neither agree nor disagree 1316 16.2% 0.16236891
4 Agree a little 1455 18.0% 0.17951882
5 Agree strongly 233 2.9% 0.02874769
97 Not answered 220 2.7% 0.02714374


r15bfi10_4


Variable label: Describes you how well: Relaxed, handles stress well.
Pre-question text:

How well does the following statement describe your personality?

I see myself as someone who …
Literal question: … is relaxed, handles stress well
Technical description: [All respondents asked. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Completely disagree 349 4.3% 0.04305984
2 Disagree somewhat 1521 18.8% 0.18766194
3 Neither agree nor disagree 1308 16.1% 0.16138186
4 Agree somewhat 3228 39.8% 0.39827267
5 Completely agree 1487 18.3% 0.18346700
97 Not answered 212 2.6% 0.02615669


r15bfi10_5


Variable label: Describes you how well: Few artistic interests.
Pre-question text:

How well does the following statement describe your personality?

I see myself as someone who …
Literal question: … has few artistic interests
Technical description: [All respondents asked. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Completely disagree 2285 28.2% 0.28192474
2 Disagree somewhat 2491 30.7% 0.30734115
3 Neither agree nor disagree 1265 15.6% 0.15607650
4 Agree somewhat 1415 17.5% 0.17458359
5 Completely agree 429 5.3% 0.05293029
97 Not answered 220 2.7% 0.02714374


r15bfi10_6


Variable label: Describes you how well: Outgoing, sociable.
Pre-question text:

How well does the following statement describe your personality?

I see myself as someone who …
Literal question: … is outgoing, sociable
Technical description: [All respondents asked. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Completely disagree 332 4.1% 0.04096237
2 Disagree somewhat 1210 14.9% 0.14929056
3 Neither agree nor disagree 1260 15.5% 0.15545959
4 Agree somewhat 3014 37.2% 0.37186922
5 Completely agree 2092 25.8% 0.25811228
97 Not answered 197 2.4% 0.02430598


r15bfi10_7


Variable label: Describes you how well: Tends to find fault with others.
Pre-question text:

How well does the following statement describe your personality?

I see myself as someone who …
Literal question: … tends to find fault with others
Technical description: [All respondents asked. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Completely disagree 1310 16.2% 0.16162862
2 Disagree somewhat 2324 28.7% 0.28673658
3 Neither agree nor disagree 2254 27.8% 0.27809994
4 Agree somewhat 1807 22.3% 0.22294880
5 Completely agree 203 2.5% 0.02504627
97 Not answered 207 2.6% 0.02553979


r15bfi10_8


Variable label: Describes you how well: Does a thorough job.
Pre-question text:

How well does the following statement describe your personality?

I see myself as someone who …
Literal question: … do a thorough job
Technical description: [All respondents asked. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Completely disagree 116 1.4% 0.01431215
2 Disagree somewhat 185 2.3% 0.02282542
3 Neither agree nor disagree 739 9.1% 0.09117829
4 Agree somewhat 3305 40.8% 0.40777298
5 Completely agree 3560 43.9% 0.43923504
97 Not answered 200 2.5% 0.02467613


r15bfi10_9


Variable label: Describes you how well: Easily nervous.
Pre-question text:

How well does the following statement describe your personality?

I see myself as someone who …
Literal question: … get nervous easily
Technical description: [All respondents asked. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Completely disagree 2312 28.5% 0.28525601
2 Disagree somewhat 2321 28.6% 0.28636644
3 Neither agree nor disagree 1444 17.8% 0.17816163
4 Agree somewhat 1476 18.2% 0.18210981
5 Completely agree 334 4.1% 0.04120913
97 Not answered 218 2.7% 0.02689698


r15bfi10_10


Variable label: Describes you how well: Active imagination.
Pre-question text:

How well does the following statement describe your personality?

I see myself as someone who …
Literal question: … has an active imagination
Technical description: [All respondents asked. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Disagree strongly 487 6.0% 0.06008637
2 Disagree a little 1134 14.0% 0.13991363
3 Neither agree nor disagree 2037 25.1% 0.25132634
4 Agree a little 2707 33.4% 0.33399136
5 Agree strongly 1541 19.0% 0.19012955
97 Not answered 199 2.5% 0.02455275


r15econklimaeksperiment_1a


Variable label: Economic climate experiment: Transfer how much, hidden partner.
Pre-question text:

You and another person in this round of the Norwegian Citizen Panel will be randomly selected and paired. You will receive two thousand kroner in a joint account. You and the other person can transfer up to one thousand kroner each from the joint account to each of your personal accounts.

For every one hundred kroner that is not transferred, we will add fifty kroner to the joint account. Half the amount in the joint account, as well as the money in your personal account, will constitute your final payout. You and the other person will receive half of the amount in the joint account regardless of what you both decide to do. We will now ask you to make two independent decisions. In the first decision, you don’t know how much the other person transfers to his or her personal account. In the second decision, you must choose how much you want to transfer to your private account given the other person’s choice. Which of the two decisions that will apply regarding the final payout will be randomly selected.
Literal question: How much do you want to transfer from the joint account to your private account? (0-1000)
Technical description: [Asked if r15group != 6 & r12group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:844] [Invalid:7261] [Range:0-1000]



r15econklimaeksperiment_1a_ignor


Variable label: [ Background variable. Specifies whether the respondent attempted to proceed without giving a response to r15econklimaeksperiment_1a. If yes, the respondent received the following prompt and encouraged to answer: “Are you sure you do not want to answer the question? It is useful for the researchers if the question is answered in full. If you are sure you may skip ahead.” (translated)]
Technical description: [ Background variable. Specifies whether the respondent attempted to proceed without giving a response to r15econklimaeksperiment_1a. If yes, the respondent received the following prompt and encouraged to answer: “Are you sure you do not want to answer the question? It is useful for the researchers if the question is answered in full. If you are sure you may skip ahead.” (translated)]
Technical attributes: [Question type: -] [Format:numeric] [Valid:92] [Invalid:8013] [Range:1-1]

Value Label Cases Percentage
1 Respondent clicked "Next" without answering, was prompted to respond 92 100.0% 1
Sysmiss 8013 NA


r15econklimaeksperiment_1b_1


Variable label: Economic climate experiment: Transfer how much, partner transfers NOK 0
Pre-question text: How much do you want to transfer from the joint account to your private account given that the other person:
Literal question: has transferred 0 kroner from the joint account
Technical description: [Asked if r15group != 6 & r12group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:612] [Invalid:7493] [Range:0-1000]



r15econklimaeksperiment_1b_2


Variable label: Economic climate experiment: Transfer how much, partner transfers NOK 100
Pre-question text: How much do you want to transfer from the joint account to your private account given that the other person:
Literal question: has transferred 100 kroner from the joint account
Technical description: [Asked if r15group != 6 & r12group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:545] [Invalid:7560] [Range:0-1000]



r15econklimaeksperiment_1b_3


Variable label: Economic climate experiment: Transfer how much, partner transfers NOK 200
Pre-question text: How much do you want to transfer from the joint account to your private account given that the other person:
Literal question: has transferred 200 kroner from the joint account
Technical description: [Asked if r15group != 6 & r12group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:531] [Invalid:7574] [Range:0-1000]



r15econklimaeksperiment_1b_4


Variable label: Economic climate experiment: Transfer how much, partner transfers NOK 300
Pre-question text: How much do you want to transfer from the joint account to your private account given that the other person:
Literal question: has transferred 300 kroner from the joint account
Technical description: [Asked if r15group != 6 & r12group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:527] [Invalid:7578] [Range:0-1000]



r15econklimaeksperiment_1b_5


Variable label: Economic climate experiment: Transfer how much, partner transfers NOK 400
Pre-question text: How much do you want to transfer from the joint account to your private account given that the other person:
Literal question: has transferred 400 kroner from the joint account
Technical description: [Asked if r15group != 6 & r12group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:527] [Invalid:7578] [Range:0-1000]



r15econklimaeksperiment_1b_6


Variable label: Economic climate experiment: Transfer how much, partner transfers NOK 500
Pre-question text: How much do you want to transfer from the joint account to your private account given that the other person:
Literal question: has transferred 500 kroner from the joint account
Technical description: [Asked if r15group != 6 & r12group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:619] [Invalid:7486] [Range:0-1000]



r15econklimaeksperiment_1b_7


Variable label: Economic climate experiment: Transfer how much, partner transfers NOK 600
Pre-question text: How much do you want to transfer from the joint account to your private account given that the other person:
Literal question: has transferred 600 kroner from the joint account
Technical description: [Asked if r15group != 6 & r12group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:521] [Invalid:7584] [Range:0-1000]



r15econklimaeksperiment_1b_8


Variable label: Economic climate experiment: Transfer how much, partner transfers NOK 700
Pre-question text: How much do you want to transfer from the joint account to your private account given that the other person:
Literal question: has transferred 700 kroner from the joint account
Technical description: [Asked if r15group != 6 & r12group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:517] [Invalid:7588] [Range:0-1000]



r15econklimaeksperiment_1b_9


Variable label: Economic climate experiment: Transfer how much, partner transfers NOK 800
Pre-question text: How much do you want to transfer from the joint account to your private account given that the other person:
Literal question: has transferred 800 kroner from the joint account
Technical description: [Asked if r15group != 6 & r12group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:516] [Invalid:7589] [Range:0-1000]



r15econklimaeksperiment_1b_10


Variable label: Economic climate experiment: Transfer how much, partner transfers NOK 900
Pre-question text: How much do you want to transfer from the joint account to your private account given that the other person:
Literal question: has transferred 900 kroner from the joint account
Technical description: [Asked if r15group != 6 & r12group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:514] [Invalid:7591] [Range:0-1000]



r15econklimaeksperiment_1b_11


Variable label: Economic climate experiment: Transfer how much, partner transfers NOK 1000
Pre-question text: How much do you want to transfer from the joint account to your private account given that the other person:
Literal question: has transferred 1000 kroner from the joint account
Technical description: [Asked if r15group != 6 & r12group = 3. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:553] [Invalid:7552] [Range:0-1000]



r15econklimaeksperiment_1b_ignor


Variable label: [ Background variable. Specifies whether the respondent attempted to proceed without giving a response to r15econklimaeksperiment_1b. If yes, the respondent received the following prompt and encouraged to answer: “Are you sure you do not want to answer the question? It is useful for the researchers if the question is answered in full. If you are sure you may skip ahead.” (translated)]
Technical description: [ Background variable. Specifies whether the respondent attempted to proceed without giving a response to r15econklimaeksperiment_1b. If yes, the respondent was shown the following warning: “Are you sure you do not want to answer the question? It is useful for the researchers if the question is answered in full. If you are sure you may skip ahead.” (translated)]
Technical attributes: [Question type: -] [Format:numeric] [Valid:108] [Invalid:7997] [Range:1-1]

Value Label Cases Percentage
1 Respondent clicked "Next" without answering, was prompted to respond 108 100.0% 1
Sysmiss 7997 NA


r15econklimaeksperiment_2_ran


Variable label: [Randomizes if r15group != 6 & r12group = 3. Background variable. Randomly selects text element for r15econklimaeksperiment_2_1 and r15econklimaeksperiment_2_2.]
Technical description: [Randomizes if r15group != 6 & r12group = 3. Background variable. Randomly selects text element for r15econklimaeksperiment_2_1 and r15econklimaeksperiment_2_2.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:905] [Invalid:7200] [Range:1-2]

Value Label Cases Percentage
1 [Blank] 464 51.3% 0.5127072
2 In 2015, 100,000 Norwegians collected in money, and Rainforest Foundation Norway’s funds to preserve the rainforests increased by 183 million kroner. 441 48.7% 0.4872928
Sysmiss 7200 NA


r15econklimaeksperiment_2_1


Variable label: Economic climate experiment: Transfer how much to Rainforest Foundation.
Pre-question text: You and another person in this round of the Norwegian Citizen Panel will be randomly selected and paired. Each of you will receive one thousand kroner that can be transferred to a joint account. For every one hundred kroner that is transferred, we will add fifty kroner to the joint account. Each person’s payout is the amount that the person does not transfer. We will send the amount left in the joint account to Rainforest Foundation Norway. The amount affects how much rainforest will be preserved. [Blank / In 2015, 100,000 Norwegians collected in money, and Rainforest Foundation Norway’s funds to preserve the rainforests increased by 183 million kroner.]
Literal question: How much would you like to contribute to Rainforest Foundation Norway? (0-1000) (1)
Technical description: [Asked if r15group != 6 & r12group = 3. The wording of the question depends on the randomized value of r15econklimaeksperiment_2_ran.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:841] [Invalid:7264] [Range:0-1000]



r15econklimaeksperiment_2_2


Variable label: Economic climate experiment: Thinks partner transfers how much to Rainforest Foundation.
Pre-question text: You and another person in this round of the Norwegian Citizen Panel will be randomly selected and paired. Each of you will receive one thousand kroner that can be transferred to a joint account. For every one hundred kroner that is transferred, we will add fifty kroner to the joint account. Each person’s payout is the amount that the person does not transfer. We will send the amount left in the joint account to Rainforest Foundation Norway. The amount affects how much rainforest will be preserved. [Blank / In 2015, 100,000 Norwegians collected in money, and Rainforest Foundation Norway’s funds to preserve the rainforests increased by 183 million kroner.]
Literal question: How much do you think the other person has contributed? (0-1000)
Technical description: [Asked if r15group != 6 & r12group = 3. The wording of the question depends on the randomized value of r15econklimaeksperiment_2_ran.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:828] [Invalid:7277] [Range:0-1000]



r15econklimaeksperiment_2_ignore


Variable label: [ Background variable. Specifies whether the respondent attempted to proceed without giving a response to 15econklimaeksperiment_2. If yes, the respondent received the following prompt and encouraged to answer: “Are you sure you do not want to answer the question? It is useful for the researchers if the question is answered in full. If you are sure you may skip ahead.” (translated)]
Technical description: [ Background variable. Specifies whether the respondent attempted to proceed without giving a response to 15econklimaeksperiment_2. If yes, the respondent received the following prompt and encouraged to answer: “Are you sure you do not want to answer the question? It is useful for the researchers if the question is answered in full. If you are sure you may skip ahead.” (translated)]
Technical attributes: [Question type: -] [Format:numeric] [Valid:80] [Invalid:8025] [Range:1-1]

Value Label Cases Percentage
1 Respondent clicked "Next" without answering, was prompted to respond 80 100.0% 1
Sysmiss 8025 NA


r15econklimaeksperiment_rekkef


Variable label: [ Specifies the order of r15econklimaeksperiment_1 and r15econklimaeksperiment_2.]
Technical description: [ Specifies the order of r15econklimaeksperiment_1 and r15econklimaeksperiment_2.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:908] [Invalid:7197] [Range:1-2]

Value Label Cases Percentage
1 r15econklimaeksperiment_1 was shown first 494 54.4% 0.5440529
2 r15econklimaeksperiment_2 was shown first 414 45.6% 0.4559471
Sysmiss 7197 NA


r15P1


Variable label: Gender
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Male 4025 49.7% 0.496607
2 Female 4080 50.3% 0.503393


r15P2


Variable label: Region
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Oslo/Akershus 2316 28.6% 0.28574954
2 Østlandet 1863 23.0% 0.22985811
3 Sørlandet 404 5.0% 0.04984577
4 Vestlandet 2204 27.2% 0.27193091
5 Trøndelag 685 8.5% 0.08451573
6 Nord-Norge 633 7.8% 0.07809994


r15P3


Variable label: County
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-18]

Value Label Cases Percentage
1 Akershus 1053 13.0% 0.12991980
2 Oslo 1263 15.6% 0.15582973
3 Østfold 407 5.0% 0.05021592
4 Vestfold 366 4.5% 0.04515731
5 Hedmark 226 2.8% 0.02788402
6 Oppland 237 2.9% 0.02924121
7 Buskerud 397 4.9% 0.04898211
8 Telemark 230 2.8% 0.02837754
9 Vest-Agder 255 3.1% 0.03146206
10 Aust-Agder 149 1.8% 0.01838371
11 Rogaland 744 9.2% 0.09179519
12 Hordaland 985 12.2% 0.12152992
13 Sogn og Fjordane 140 1.7% 0.01727329
14 Møre og Romsdal 335 4.1% 0.04133251
15 Trøndelag 685 8.5% 0.08451573
16 Nordland 311 3.8% 0.03837138
17 Troms 240 3.0% 0.02961135
18 Finmark 82 1.0% 0.01011721


r15P4_1


Variable label: Highest completed education
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 No education/elementary school 544 6.7% 0.06711906
2 Upper secondary education 2297 28.3% 0.28340531
3 University/University college 4935 60.9% 0.60888341
97 Not answered 329 4.1% 0.04059223


r15P4_2


Variable label: Highest completed education
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-12]

Value Label Cases Percentage
1 No completed education 23 0.3% 0.002837754
2 Primary and lower secondary school (completed either the first part of compulsory education (elementary school), primary and lower secondary school, 7-year elementary school, secondary modern school or lower secondary school) 521 6.4% 0.064281308
3 Secondary education-general studies/programme for general studies, one-year supplementary study for university and college admission certification (VK2, VG3, High School) 888 11.0% 0.109561999
4 Secondary education-vocational line of study/education programme (VK2, VK3, VG3, apprenticeship examination, apprentices’ final exam ) 943 11.6% 0.116347933
5 Diploma from supplementary programme for general university and college admissions certification (tertiary vocational education, vocational technical college) 466 5.7% 0.057495373
6 University/College, less than 3 years, but at least 2 years (university college graduate 2 and 2½ years) 734 9.1% 0.090561382
7 College-3-4 year education (Bachelor-, cand.mag., teacher training college, school of nursing, preschool teacher, engineer, business graduate, etc.) 1694 20.9% 0.209006786
8 University-3-4 year education (Bachelor, cand.mag.) 603 7.4% 0.074398519
9 College-5-6 year education (Master, major) 552 6.8% 0.068106107
10 University 5-6 year education (Master, majors (longer professional education (MA in Theology., MA in Psychology., Doctor of Medicine, Doctor of Veterinary Medicine, chartered engineer, graduate in architecture, Master of Science in Business and Economic 1174 14.5% 0.144848859
11 Researcher level (Doctorate, Ph.d.) 178 2.2% 0.021961752
12 None of the above (please enter): 218 2.7% 0.026896977
97 Not answered 111 1.4% 0.013695250


r15P5_1


Variable label: Year of birth
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1939 or earlier 226 2.8% 0.02788402
2 1940-1949 1446 17.8% 0.17840839
3 1950-1959 1971 24.3% 0.24318322
4 1960-1969 1716 21.2% 0.21172116
5 1970-1979 1236 15.2% 0.15249846
6 1980-1989 875 10.8% 0.10795805
7 1990 or later 635 7.8% 0.07834670


r15P5_2


Variable label: Year of birth
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 1959 or earlier 3643 44.9% 0.4494756
2 1960-1989 3827 47.2% 0.4721777
3 1990 or later 635 7.8% 0.0783467


r15Weight1


Variable label: Weight based on variables P3, P5_2, and P1. See documentation report.
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-6]



r15Weight2


Variable label: Weight based on variables P3, P5_2, P4, and P1. See documentation report
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-19]



r15Weight4


Variable label: Weight based on variables P1, P2, P4_1 (Note! recoded to two-level: 1) upper secondary and lower, and 2) University/University college), and age. Similiar to Weight2 only with capped weight value (x is >= .2 and x <= 5).
Technical attributes: [Question type: -] [Format:numeric] [Valid:8105] [Invalid:0] [Range:0-4]