Codebook

The Panel of Elected Representatives

Round 7

v-100 - 2022-04-10









Produced by ideas2evidence










Citation

Researchers responsible

Name Affiliaton
Yvette Peters Coordinator, University of Bergen
Troy Saghaug Broderstad University of Bergen
Arjan Schakel University of Bergen

Producers

Name Affiliation Role
Øivind Skjervheim ideas2evidence Coordinator
Olav Bjørnebekk ideas2evidence Project team member
Amund Eikrem ideas2evidence Project team member
Joachim Wettergreen ideas2evidence Project team member

Study Description

Abstract

The Panel of Elected Representatives is an internet-based survey of elected representatives, at all political levels, in Norway. The survey deals with matters that are important to society, representation and democracy. All elected politicians are invited to participate.

The Panel of Elected Representatives is part of the Digital Social Science Core Facility (DIGSSCORE) at the University of Bergen (UiB). The Panel of elected Representatives is also affiliated with the Norwegian citizen Panel, the Norwegian Journalist Panel, and the Norwegian Panel of Public Administrators. The University of Bergen is the owner and treatment manager of the Panel of Elected Representatives. Ideas2Evidence executes the practical implementation of the survey, and are responsible for recruting participants, as well as sending and receiving surveys to and from respondents. The data is stored encrypted and secure in UiB's infrastructure for for safe processing of sensitive personal data in research, ‘SAFE’. The panel has been reported to and processed by the Data Protection Official for Research at the Norwegian Centre for Research Data (NSD) pursuant to the Personal Data Act. More information can be found at uib.no/NRP.

Scope

Geographic coverage: National.
Unit of analysis: Elected representatives.
Universe: All elected representatives in Norway.

Methodology

Sampling procedure

Elected representatives at all political levels in Norway - municipal councils, county councils, the Storting (parliament) and the Sami Parliament of Norway - are invited to participate in the Panel of Elected Representatives. Contact information has been collected through Kommuneforlaget AS' registers, as well as public information from websites of municipalities, county municipalitites, the Storting, and the Sami Parliament of Norway.

Mode of Data Collection

The survey is based on a online questionnaire where the panel members are invited by email. The panel members were recruited to the panel in wave 1, 3, 5, and 7. Note that recruitment in wave 3 was due to the 2019 municipal election. Representatives who were not re-elected were omitted from the panel, while newly elected and re-elected representatives where invited to participate. Recruitment in wave 7 was in the aftermath of the 2021 parliamentary election and recruited newly elected parliamentary representatives, in addition to recruiting current municipal and county representatives. Former parliamentary representatives who were not relected were omitted for the panel.

For a more detailed description of how the members were recruited, please see the documentation report from wave 1, 3, 5, and 7.

Wave 7 was fielded from 21st of January 2022 to the 1st of March 2022.


Change Log

No changes registred.



Dataset contents

File name The Panel of Elected Representatives - round 7 - v-100-L.sav
Distribution type Privileged
# Cases 2335
# Variables 159


Variable Documentation

responseid


Variable label: responseid
Technical attributes: [Question type: -] [Format:character] [Valid:2335] [Invalid:0] [Range:-]



p7rekruttert


Variable label: The wave the respondent was recruited
Technical description: The wave the respondent was recruited
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Wave 1 818 35% 0.35032120
3 Wave 3 1026 43.9% 0.43940043
5 Wave 5 138 5.9% 0.05910064
7 Wave 7 353 15.1% 0.15117773


p7group


Variable label: Subgroup.
Technical description: [Municipal representatives are randomly assigned to group 1 and group 2. County representatives are assigned to group 2. Representatives from the Parliament and the Sami-Parliament are assigned to group 1.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Random half of municipal representatives, plus all parliament and Sámi Parliament representatives 1163 49.8% 0.4980728
2 Random half of municipal representatives, plus all county representatives 1172 50.2% 0.5019272


p7browsertype


Variable label: Browertype used by respondent
Technical description: Browertype used by respondent
Technical attributes: [Question type:Open] [Format:character] [Valid:2335] [Invalid:0] [Range:-]



p7browserversion


Variable label: Browser version used by respondent
Technical description: Browser version used by respondent
Technical attributes: [Question type:Open] [Format:character] [Valid:2335] [Invalid:0] [Range:-]



p7mobil


Variable label: Determines if the respondents uses mobile
Technical description: Determines if the respondents uses mobile
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
0 Other 1561 66.9% 0.6685225
1 Mobile 774 33.1% 0.3314775


p7opplosning


Variable label: Screen resolution of the applied device
Technical description: Screen resolution of the applied device
Technical attributes: [Question type:Open] [Format:character] [Valid:2335] [Invalid:0] [Range:-]



p7enhetstype


Variable label: Determines respondents device type
Technical description: Determines respondents device type
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 PC 1561 66.9% 0.66852248
2 Touch 754 32.3% 0.32291221
3 Generic 20 0.9% 0.00856531


p7advancedwifeaturesenabled


Variable label: Determine whether the respondent’s browser supports Advanced WI Features that require client side scripts, such as sliders, drag-n-drop ranking, images instead of radio-buttons/check-boxes etc.
Technical description: Determine whether the respondent’s browser supports Advanced WI Features that require client side scripts, such as sliders, drag-n-drop ranking, images instead of radio-buttons/check-boxes etc.
Technical attributes: [Question type:Open] [Format:character] [Valid:2335] [Invalid:0] [Range:-]



p7getrenderingmode


Variable label: Detects the browsers rendering mode
Technical description: Detects the browsers rendering mode
Technical attributes: [Question type:Open] [Format:character] [Valid:2335] [Invalid:0] [Range:-]



p7per36


Variable label: How many years have you been an elected representative?
Literal question: How many years have you been an elected representative (regardless of where and when you were elected)?
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 0 – 3 years 581 24.9% 0.248822270
2 4 – 7 years 528 22.6% 0.226124197
3 8 – 11 years 360 15.4% 0.154175589
4 12 – 15 years 286 12.2% 0.122483940
5 16 – 19 years 205 8.8% 0.087794433
6 20 or more 371 15.9% 0.158886510
97 Not answered 4 0.2% 0.001713062


p7per40


Variable label: Which party do you represent?
Literal question: Which party do you represent?
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-15]

Value Label Cases Percentage
1 The Labour Party 636 27.2% 0.272376874
2 Democrats in Norway 2 0.1% 0.000856531
3 The People's Movement - No to More Road Tolls (or similar road toll initiative) 12 0.5% 0.005139186
4 The Progress Party 151 6.5% 0.064668094
5 The Conservative Party 383 16.4% 0.164025696
6 The Christian Democrats 119 5.1% 0.050963597
7 The Coastal Party 0 0% 0.000000000
8 The Green Party 91 3.9% 0.038972163
9 The Christians 3 0.1% 0.001284797
10 Pensioners' Party 21 0.9% 0.008993576
11 The Red Party 61 2.6% 0.026124197
12 The Centre Party 482 20.6% 0.206423983
13 The Socialist Left Party 156 6.7% 0.066809422
14 The Liberal Party 82 3.5% 0.035117773
15 Other 136 5.8% 0.058244111
97 Not answered 0 0% 0.000000000


p7per40_15_other


Variable label: Other: Which party do you represent?
Pre-question text: Which party do you represent?
Literal question: Other
Technical description:

[All respondents asked]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Single - Other] [Format:character] [Valid:0] [Invalid:2335] [Range:-]



p7per35


Variable label: Is your party in government or opposition?
Literal question: Is your party currently in government or in opposition at your level of government?
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Government 1330 57% 0.569593148
2 Opposition 1000 42.8% 0.428265525
97 Not answered 5 0.2% 0.002141328


p7percontact_1


Variable label: How often contacted by:
Pre-question text:

As a representative, it may be the case that inhabitants contact you to express their views or concerns about political issues. Our citizen surveys show that some citizens contact politicians more often than others.

We are interested in your experience as a representative. Over the last year, how often have you been contacted by:

Literal question: Members of your party
Technical description: [Asked if p7group = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 No contact 43 3.7% 0.036973345
2 1 - 6 times 377 32.4% 0.324161651
3 7 - 12 times 202 17.4% 0.173688736
4 At least once a month 290 24.9% 0.249355116
5 At least once a week 248 21.3% 0.213241617
97 Not answered 3 0.3% 0.002579536
98 Not asked 1172 NA


p7percontact_2


Variable label: How often contacted by:
Pre-question text:

As a representative, it may be the case that inhabitants contact you to express their views or concerns about political issues. Our citizen surveys show that some citizens contact politicians more often than others.

We are interested in your experience as a representative. Over the last year, how often have you been contacted by:

Literal question: Representatives of a trade union
Technical description: [Asked if p7group = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 No contact 403 34.7% 0.34651763
2 1 - 6 times 510 43.9% 0.43852107
3 7 - 12 times 79 6.8% 0.06792777
4 At least once a month 99 8.5% 0.08512468
5 At least once a week 20 1.7% 0.01719690
97 Not answered 52 4.5% 0.04471195
98 Not asked 1172 NA


p7percontact_3


Variable label: How often contacted by:
Pre-question text:

As a representative, it may be the case that inhabitants contact you to express their views or concerns about political issues. Our citizen surveys show that some citizens contact politicians more often than others.

We are interested in your experience as a representative. Over the last year, how often have you been contacted by:

Literal question: Representatives of an employer organisation
Technical description: [Asked if p7group = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 No contact 673 57.9% 0.578675838
2 1 - 6 times 287 24.7% 0.246775580
3 7 - 12 times 58 5% 0.049871023
4 At least once a month 64 5.5% 0.055030095
5 At least once a week 10 0.9% 0.008598452
97 Not answered 71 6.1% 0.061049011
98 Not asked 1172 NA


p7percontact_4


Variable label: How often contacted by:
Pre-question text:

As a representative, it may be the case that inhabitants contact you to express their views or concerns about political issues. Our citizen surveys show that some citizens contact politicians more often than others.

We are interested in your experience as a representative. Over the last year, how often have you been contacted by:

Literal question: Representatives of a woman’s organisation
Technical description: [Asked if p7group = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 No contact 780 67.1% 0.670679278
2 1 - 6 times 254 21.8% 0.218400688
3 7 - 12 times 33 2.8% 0.028374893
4 At least once a month 19 1.6% 0.016337059
5 At least once a week 3 0.3% 0.002579536
97 Not answered 74 6.4% 0.063628547
98 Not asked 1172 NA


p7percontact_5


Variable label: How often contacted by:
Pre-question text:

As a representative, it may be the case that inhabitants contact you to express their views or concerns about political issues. Our citizen surveys show that some citizens contact politicians more often than others.

We are interested in your experience as a representative. Over the last year, how often have you been contacted by:

Literal question: Representatives of a fisheries organisation
Technical description: [Asked if p7group = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 No contact 884 76% 0.7601031814
2 1 - 6 times 160 13.8% 0.1375752365
3 7 - 12 times 23 2% 0.0197764402
4 At least once a month 20 1.7% 0.0171969046
5 At least once a week 1 0.1% 0.0008598452
97 Not answered 75 6.4% 0.0644883921
98 Not asked 1172 NA


p7percontact_6


Variable label: How often contacted by:
Pre-question text:

As a representative, it may be the case that inhabitants contact you to express their views or concerns about political issues. Our citizen surveys show that some citizens contact politicians more often than others.

We are interested in your experience as a representative. Over the last year, how often have you been contacted by:

Literal question: Representatives of a student organisation
Technical description: [Asked if p7group = 1]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 No contact 832 71.5% 0.7153912296
2 1 - 6 times 216 18.6% 0.1857265692
3 7 - 12 times 23 2% 0.0197764402
4 At least once a month 14 1.2% 0.0120378332
5 At least once a week 1 0.1% 0.0008598452
97 Not answered 77 6.6% 0.0662080825
98 Not asked 1172 NA


p7perclimate


Variable label: Based on what you know, which of the following assertions best describes your view on climate change?
Literal question: Based on what you know, which of the following assertions best describes your view on climate change?
Technical description: [Asked if p7group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 I believe that the climate is not changing. 11 0.9% 0.009458298
2 I don't know whether the climate is changing or not. 31 2.7% 0.026655202
3 I believe that the climate is changing, but that it has little to do with human action. 196 16.9% 0.168529665
4 I believe that the climate is changing, and that it to a large extent is due to human action. 922 79.3% 0.792777300
97 Not answered 3 0.3% 0.002579536
98 Not asked 1172 NA


p7perconcern


Variable label: How concerned are you about climate change?
Literal question: How concerned are you about climate change?
Technical description: [Asked if p7group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all concerned 32 2.8% 0.027515047
2 Not particularly concerned 146 12.6% 0.125537403
3 Somewhat concerned 302 26% 0.259673259
4 Concerned 422 36.3% 0.362854686
5 Very concerned 250 21.5% 0.214961307
97 Not answered 11 0.9% 0.009458298
98 Not asked 1172 NA


p7perearth2_ran


Variable label: Experiment. Respondents are exposed to either p7perearth2a (1/3 probability) or p7perearth2b (2/3 probability).
Technical description: [Randomized if p7group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1163] [Invalid:1172] [Range:1-3]

Value Label Cases Percentage
1 P7PEREARTH2a after P7PERCONCERN 363 31.2% 0.3121238
2 P7PEREARTH2b after P7PEREARTH1 377 32.4% 0.3241617
3 P7PEREARTH2b after P7PEREARTH1 423 36.4% 0.3637145
Sysmiss 1172 NA


p7perearth2a_1


Variable label: Support/oppose: Significantly reduce international flights
Pre-question text:

Climate change can be prevented to some extent if we change our lifestyles.

To what extent do you support or oppose political regulation for the following purposes to contribute to this:

Literal question: Significantly reduce international flights
Post-question: If you require further information about the effect that lifestyle change can have on climate change, see the report from the Norwegian Environment Agency (link).
Technical description:

[Asked if p7perearth2_ran = 1 & p7group = 1]

[Link: https://www.miljodirektoratet.no/publikasjoner/2020/januar-2020/klimakur2030/]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 40 11% 0.110192837
2 Support strongly 76 20.9% 0.209366391
3 Support somewhat 107 29.5% 0.294765840
4 Neither support nor oppose 40 11% 0.110192837
5 Oppose somewhat 40 11% 0.110192837
6 Oppose strongly 35 9.6% 0.096418733
7 Oppose very strongly 22 6.1% 0.060606061
97 Not answered 3 0.8% 0.008264463
98 Not asked 1972 NA


p7perearth2a_2


Variable label: Support/oppose: Significantly reduce the number of non-electric cars
Pre-question text:

Climate change can be prevented to some extent if we change our lifestyles.

To what extent do you support or oppose political regulation for the following purposes to contribute to this:

Literal question: Significantly reduce the number of non-electric cars
Post-question: If you require further information about the effect that lifestyle change can have on climate change, see the report from the Norwegian Environment Agency (link).
Technical description:

[Asked if p7perearth2_ran = 1 & p7group = 1]

[Link: https://www.miljodirektoratet.no/publikasjoner/2020/januar-2020/klimakur2030/]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 34 9.4% 0.093663912
2 Support strongly 77 21.2% 0.212121212
3 Support somewhat 97 26.7% 0.267217631
4 Neither support nor oppose 40 11% 0.110192837
5 Oppose somewhat 48 13.2% 0.132231405
6 Oppose strongly 36 9.9% 0.099173554
7 Oppose very strongly 28 7.7% 0.077134986
97 Not answered 3 0.8% 0.008264463
98 Not asked 1972 NA


p7perearth2a_3


Variable label: Support/oppose: Significantly reduce the use of disposable items
Pre-question text:

Climate change can be prevented to some extent if we change our lifestyles.

To what extent do you support or oppose political regulation for the following purposes to contribute to this:

Literal question: Significantly reduce the use of disposable items
Post-question: If you require further information about the effect that lifestyle change can have on climate change, see the report from the Norwegian Environment Agency (link).
Technical description:

[Asked if p7perearth2_ran = 1 & p7group = 1]

[Link: https://www.miljodirektoratet.no/publikasjoner/2020/januar-2020/klimakur2030/]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 99 27.3% 0.272727273
2 Support strongly 139 38.3% 0.382920110
3 Support somewhat 81 22.3% 0.223140496
4 Neither support nor oppose 18 5% 0.049586777
5 Oppose somewhat 14 3.9% 0.038567493
6 Oppose strongly 3 0.8% 0.008264463
7 Oppose very strongly 4 1.1% 0.011019284
97 Not answered 5 1.4% 0.013774105
98 Not asked 1972 NA


p7perearth2a_4


Variable label: Support/oppose: Encourage a more plant-based diet by taxing and subsidising foods
Pre-question text:

Climate change can be prevented to some extent if we change our lifestyles.

To what extent do you support or oppose political regulation for the following purposes to contribute to this:

Literal question: Encourage a more plant-based diet by taxing and subsidising foods
Post-question: If you require further information about the effect that lifestyle change can have on climate change, see the report from the Norwegian Environment Agency (link).
Technical description:

[Asked if p7perearth2_ran = 1 & p7group = 1]

[Link: https://www.miljodirektoratet.no/publikasjoner/2020/januar-2020/klimakur2030/]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 17 4.7% 0.046831956
2 Support strongly 25 6.9% 0.068870523
3 Support somewhat 69 19% 0.190082645
4 Neither support nor oppose 50 13.8% 0.137741047
5 Oppose somewhat 63 17.4% 0.173553719
6 Oppose strongly 62 17.1% 0.170798898
7 Oppose very strongly 74 20.4% 0.203856749
97 Not answered 3 0.8% 0.008264463
98 Not asked 1972 NA


p7perearth2a_5


Variable label: Support/oppose: Encourage a more plant-based diet by providing useful information about how this can be achieved in a healthy way
Pre-question text:

Climate change can be prevented to some extent if we change our lifestyles.

To what extent do you support or oppose political regulation for the following purposes to contribute to this:

Literal question: Encourage a more plant-based diet by providing useful information about how this can be achieved in a healthy way
Post-question: If you require further information about the effect that lifestyle change can have on climate change, see the report from the Norwegian Environment Agency (link).
Technical description:

[Asked if p7perearth2_ran = 1 & p7group = 1]

[Link: https://www.miljodirektoratet.no/publikasjoner/2020/januar-2020/klimakur2030/]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 43 11.8% 0.118457300
2 Support strongly 52 14.3% 0.143250689
3 Support somewhat 108 29.8% 0.297520661
4 Neither support nor oppose 73 20.1% 0.201101928
5 Oppose somewhat 28 7.7% 0.077134986
6 Oppose strongly 31 8.5% 0.085399449
7 Oppose very strongly 26 7.2% 0.071625344
97 Not answered 2 0.6% 0.005509642
98 Not asked 1972 NA


p7perearth3


Variable label: To what extent do you think you are well informed about the likely consequences of climate change in the area in which you live?
Literal question: To what extent do you think you are well informed about the likely consequences of climate change in the area in which you live?
Technical description: [Asked if p7group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great extent 102 8.8% 0.087704213
2 To a large extent 422 36.3% 0.362854686
3 To some extent 443 38.1% 0.380911436
4 To a small extent 161 13.8% 0.138435082
5 Not at all 24 2.1% 0.020636285
97 Not answered 11 0.9% 0.009458298
98 Not asked 1172 NA


p7perearth4


Variable label: To what extent do you imagine having more direct contact with climate researchers in order to gain better insight into their scientific knowledge?
Literal question: To what extent do you imagine having more direct contact with climate researchers in order to gain better insight into their scientific knowledge?
Technical description: [Asked if p7group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great extent 94 8.1% 0.08082545
2 To a large extent 273 23.5% 0.23473775
3 To some extent 527 45.3% 0.45313844
4 To a small extent 209 18% 0.17970765
5 Not at all 44 3.8% 0.03783319
97 Not answered 16 1.4% 0.01375752
98 Not asked 1172 NA


p7permeat_ran1


Variable label: Experiment. Randomly assigns an element for textpiping in p7permeat.
Technical description: [Randomized if p7group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1160] [Invalid:1175] [Range:1-2]

Value Label Cases Percentage
1 production 608 52.4% 0.5241379
2 consumption 552 47.6% 0.4758621
Sysmiss 1175 NA


p7permeat_ran2


Variable label: Experiment. Randomly assigns an element for textpiping in p7permeat.
Technical description: [Randomized if p7group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1160] [Invalid:1175] [Range:1-3]

Value Label Cases Percentage
1 Norway 402 34.7% 0.3465517
2 Europe 360 31% 0.3103448
3 world 398 34.3% 0.3431034
Sysmiss 1175 NA


p7permeat_ran3


Variable label: Experiment. Randomly assigns an element for textpiping in p7permeat.
Technical description: [Randomized if p7group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1160] [Invalid:1175] [Range:0-1]

Value Label Cases Percentage
0 559 48.2% 0.4818966
1 to limit climate change 601 51.8% 0.5181034
Sysmiss 1175 NA


p7permeat


Variable label: Agree/disagree: Meat production/consumption must be reduced
Pre-question text: To what extent do you agree or disagree that:
Literal question: Meat[p7permeat_ran1] in [p7permeat_ran2] must be reduced[p7permeat_ran3]?
Technical description: [Asked if p7group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 86 7.4% 0.073946690
2 Agree 155 13.3% 0.133276010
3 Somewhat agree 245 21.1% 0.210662081
4 Neither agree nor disagree 142 12.2% 0.122098022
5 Somewhat disagree 139 12% 0.119518487
6 Disagree 198 17% 0.170249355
7 Strongly disagree 192 16.5% 0.165090284
97 Not answered 6 0.5% 0.005159071
98 Not asked 1172 NA


p7perdac1_1


Variable label: Experienced the following undesirable behaviour in connection with your work as an elected representative:
Pre-question text: Over the last 12 months, have you experienced any of the following forms of undesirable behaviour in connection with your work as an elected representative:
Literal question: Received unwanted enquiries (for example, text messages, calls, emails, letters, social media)
Technical description:

[Asked if p7group = 1]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Never 667 57.4% 0.573516767
2 Once 119 10.2% 0.102321582
3 2–5 times 212 18.2% 0.182287188
4 More than five times 141 12.1% 0.121238177
5 Don’t know/don’t wish to respond 6 0.5% 0.005159071
97 Not answered 18 1.5% 0.015477214
98 Not asked 1172 NA


p7perdac1_2


Variable label: Experienced the following undesirable behaviour in connection with your work as an elected representative:
Pre-question text: Over the last 12 months, have you experienced any of the following forms of undesirable behaviour in connection with your work as an elected representative:
Literal question: Received malicious information about yourself (for example, newspaper articles, blogs, smear campaigns online or in social media)
Technical description:

[Asked if p7group = 1]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Never 729 62.7% 0.62682717
2 Once 111 9.5% 0.09544282
3 2–5 times 185 15.9% 0.15907137
4 More than five times 95 8.2% 0.08168530
5 Don’t know/don’t wish to respond 20 1.7% 0.01719690
97 Not answered 23 2% 0.01977644
98 Not asked 1172 NA


p7perdac1_3


Variable label: Experienced the following undesirable behaviour in connection with your work as an elected representative:
Pre-question text: Over the last 12 months, have you experienced any of the following forms of undesirable behaviour in connection with your work as an elected representative:
Literal question: Been subject to unpleasant or unwanted attempts at being contacted or approached (for example, at home, at work or in public places)
Technical description:

[Asked if p7group = 1]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Never 882 75.8% 0.758383491
2 Once 119 10.2% 0.102321582
3 2–5 times 114 9.8% 0.098022356
4 More than five times 26 2.2% 0.022355976
5 Don’t know/don’t wish to respond 4 0.3% 0.003439381
97 Not answered 18 1.5% 0.015477214
98 Not asked 1172 NA


p7perdac1_4


Variable label: Experienced the following undesirable behaviour in connection with your work as an elected representative:
Pre-question text: Over the last 12 months, have you experienced any of the following forms of undesirable behaviour in connection with your work as an elected representative:
Literal question: Been subject to physical attacks or attempted attacks against yourself or people close to you
Technical description:

[Asked if p7group = 1]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Never 1112 95.6% 0.9561478934
2 Once 23 2% 0.0197764402
3 2–5 times 3 0.3% 0.0025795357
4 More than five times 1 0.1% 0.0008598452
5 Don’t know/don’t wish to respond 5 0.4% 0.0042992261
97 Not answered 19 1.6% 0.0163370593
98 Not asked 1172 NA


p7perdac1_5


Variable label: Experienced the following undesirable behaviour in connection with your work as an elected representative:
Pre-question text: Over the last 12 months, have you experienced any of the following forms of undesirable behaviour in connection with your work as an elected representative:
Literal question: Been subject to damage to property or personal possessions (for example, house or car)
Technical description:

[Asked if p7group = 1]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Never 1103 94.8% 0.9484092863
2 Once 26 2.2% 0.0223559759
3 2–5 times 7 0.6% 0.0060189166
4 More than five times 1 0.1% 0.0008598452
5 Don’t know/don’t wish to respond 6 0.5% 0.0051590714
97 Not answered 20 1.7% 0.0171969046
98 Not asked 1172 NA


p7perdac1_6


Variable label: Experienced the following undesirable behaviour in connection with your work as an elected representative:
Pre-question text: Over the last 12 months, have you experienced any of the following forms of undesirable behaviour in connection with your work as an elected representative:
Literal question: Been subject to other incidents: describe
Technical description:

[Asked if p7group = 1]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Never 556 47.8% 0.47807395
2 Once 21 1.8% 0.01805675
3 2–5 times 26 2.2% 0.02235598
4 More than five times 18 1.5% 0.01547721
5 Don’t know/don’t wish to respond 42 3.6% 0.03611350
97 Not answered 500 43% 0.42992261
98 Not asked 1172 NA


p7perdac1_6_other


Variable label: Other: Experienced the following undesirable behaviour in connection with your work as an elected representative:
Pre-question text: Over the last 12 months, have you experienced any of the following forms of undesirable behaviour in connection with your work as an elected representative:
Literal question: Been subject to other incidents: describe
Technical description:

[Asked if p7group = 1]

[Answer list display order: Randomize]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Grid - Other] [Format:character] [Valid:0] [Invalid:2335] [Range:-]



p7perdac1_mask


Variable label: Experiment. [p7perdac2_1-2_8], [p7perdac3], and [p7perdac4] are exposed to the respondent only if at least one of [p7perdac1_1-1_6] has the value 2, 3, or 4.
Technical description: [Randomized if p7group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1154] [Invalid:1181] [Range:0-1]

Value Label Cases Percentage
0 Not exposed to p7perdac2-4 520 45.1% 0.4506066
1 Exposed to p7perdac2-4 634 54.9% 0.5493934
Sysmiss 1181 NA


p7perdac2_1


Variable label: Who subjected you to these incidents: Individual(s)
Pre-question text: Who subjected you to these incidents?
Literal question: Individual(s)
Post-question: Please tick all relevant categories.
Technical description:

[Asked if p7perdac1_mask = 1 & p7group = 1]

[Experiment. Respondents are exposed to p7perdac2_1-2_8, p7perdac3, and p7perdac4 if at least one of p7perdac1_1-1_6 have the value of 2, 3, or 4.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2335] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 497 78.4% 0.7839117
0 Not selected 137 21.6% 0.2160883
97 Not answered 0 0% 0.0000000
98 Not asked 1701 NA


p7perdac2_2


Variable label: Who subjected you to these incidents: Representative(s) of stakeholder group(s)
Pre-question text: Who subjected you to these incidents?
Literal question: Representative(s) of stakeholder group(s)
Post-question: Please tick all relevant categories.
Technical description:

[Asked if p7perdac1_mask = 1 & p7group = 1]

[Experiment. Respondents are exposed to p7perdac2_1-2_8, p7perdac3, and p7perdac4 if at least one of p7perdac1_1-1_6 have the value of 2, 3, or 4.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2335] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 147 23.2% 0.2318612
0 Not selected 487 76.8% 0.7681388
97 Not answered 0 0% 0.0000000
98 Not asked 1701 NA


p7perdac2_3


Variable label: Who subjected you to these incidents: Politician(s) from own party/own list
Pre-question text: Who subjected you to these incidents?
Literal question: Politician(s) from own party/own list
Post-question: Please tick all relevant categories.
Technical description:

[Asked if p7perdac1_mask = 1 & p7group = 1]

[Experiment. Respondents are exposed to p7perdac2_1-2_8, p7perdac3, and p7perdac4 if at least one of p7perdac1_1-1_6 have the value of 2, 3, or 4.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2335] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 32 5% 0.05047319
0 Not selected 602 95% 0.94952681
97 Not answered 0 0% 0.00000000
98 Not asked 1701 NA


p7perdac2_4


Variable label: Who subjected you to these incidents: Politician(s) from other parties/other lists
Pre-question text: Who subjected you to these incidents?
Literal question: Politician(s) from other parties/other lists
Post-question: Please tick all relevant categories.
Technical description:

[Asked if p7perdac1_mask = 1 & p7group = 1]

[Experiment. Respondents are exposed to p7perdac2_1-2_8, p7perdac3, and p7perdac4 if at least one of p7perdac1_1-1_6 have the value of 2, 3, or 4.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2335] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 189 29.8% 0.2981073
0 Not selected 445 70.2% 0.7018927
97 Not answered 0 0% 0.0000000
98 Not asked 1701 NA


p7perdac2_5


Variable label: Who subjected you to these incidents: Administrative employee(s) at my organisation
Pre-question text: Who subjected you to these incidents?
Literal question: Administrative employee(s) at my organisation
Post-question: Please tick all relevant categories.
Technical description:

[Asked if p7perdac1_mask = 1 & p7group = 1]

[Experiment. Respondents are exposed to p7perdac2_1-2_8, p7perdac3, and p7perdac4 if at least one of p7perdac1_1-1_6 have the value of 2, 3, or 4.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2335] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 23 3.6% 0.0362776
0 Not selected 611 96.4% 0.9637224
97 Not answered 0 0% 0.0000000
98 Not asked 1701 NA


p7perdac2_6


Variable label: Who subjected you to these incidents: Journalists or other media representatives
Pre-question text: Who subjected you to these incidents?
Literal question: Journalists or other media representatives
Post-question: Please tick all relevant categories.
Technical description:

[Asked if p7perdac1_mask = 1 & p7group = 1]

[Experiment. Respondents are exposed to p7perdac2_1-2_8, p7perdac3, and p7perdac4 if at least one of p7perdac1_1-1_6 have the value of 2, 3, or 4.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2335] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 65 10.3% 0.1025237
0 Not selected 569 89.7% 0.8974763
97 Not answered 0 0% 0.0000000
98 Not asked 1701 NA


p7perdac2_7


Variable label: Who subjected you to these incidents: Others, describe:
Pre-question text: Who subjected you to these incidents?
Literal question: Others, describe:
Post-question: Please tick all relevant categories.
Technical description:

[Asked if p7perdac1_mask = 1 & p7group = 1]

[Experiment. Respondents are exposed to p7perdac2_1-2_8, p7perdac3, and p7perdac4 if at least one of p7perdac1_1-1_6 have the value of 2, 3, or 4.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2335] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 12 1.9% 0.01892744
0 Not selected 622 98.1% 0.98107256
97 Not answered 0 0% 0.00000000
98 Not asked 1701 NA


p7perdac2_7_other


Variable label: Other: Who subjected you to these incidents:
Pre-question text: Who subjected you to these incidents?
Literal question: Others, describe:
Post-question: Please tick all relevant categories.
Technical description:

[Asked if p7perdac1_mask = 1 & p7group = 1]

[Experiment. Respondents are exposed to p7perdac2_1-2_8, p7perdac3, and p7perdac4 if at least one of p7perdac1_1-1_6 have the value of 2, 3, or 4.]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Multi - Other] [Format:character] [Valid:0] [Invalid:2335] [Range:-]



p7perdac2_8


Variable label: Who subjected you to these incidents: Don’t know/prefer not to answer
Pre-question text: Who subjected you to these incidents?
Literal question: Don’t know/prefer not to answer
Post-question: Please tick all relevant categories.
Technical description:

[Asked if p7perdac1_mask = 1 & p7group = 1]

[Experiment. Respondents are exposed to p7perdac2_1-2_8, p7perdac3, and p7perdac4 if at least one of p7perdac1_1-1_6 have the value of 2, 3, or 4.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2335] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 19 3% 0.02996845
0 Not selected 615 97% 0.97003155
97 Not answered 0 0% 0.00000000
98 Not asked 1701 NA


p7perdac3


Variable label: Did the fact that you were exposed to such incidents make you more afraid or anxious in your work as a politician?
Literal question: Did the fact that you were exposed to such incidents make you more afraid or anxious in your work as a politician?
Technical description:

[Asked if p7perdac1_mask = 1 & p7group = 1]

[Experiment. Respondents are exposed to p7perdac2_1-2_8, p7perdac3, and p7perdac4 if at least one of p7perdac1_1-1_6 have the value of 2, 3, or 4.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 No 441 69.6% 0.695583596
2 Yes, a little more 159 25.1% 0.250788644
3 Yes, much more 17 2.7% 0.026813880
4 Yes, significantly more 15 2.4% 0.023659306
97 Not answered 2 0.3% 0.003154574
98 Not asked 1701 NA


p7perdac4


Variable label: To what extent have such incidents contributed to you considering resigning as an elected representative?
Literal question: To what extent have such incidents contributed to you considering resigning as an elected representative?
Technical description:

[Asked if p7perdac1_mask = 1 & p7group = 1]

[Experiment. Respondents are exposed to p7perdac2_1-2_8, p7perdac3, and p7perdac4 if at least one of p7perdac1_1-1_6 have the value of 2, 3, or 4.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great extent 36 5.7% 0.056782334
2 To a large extent 42 6.6% 0.066246057
3 To some extent 130 20.5% 0.205047319
4 To a small extent 150 23.7% 0.236593060
5 Not at all 273 43.1% 0.430599369
97 Not answered 3 0.5% 0.004731861
98 Not asked 1701 NA


p7percontact2_ran1_1


Variable label: Experiment. Randomly assigns a value for textpiping in p7percontact2.
Technical description: [Randomized if p7group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1154] [Invalid:1181] [Range:1-6]

Value Label Cases Percentage
1 Nora Wilhelmsen 196 17% 0.1698440
2 Thea Friele 212 18.4% 0.1837088
3 Hedda Dahl 184 15.9% 0.1594454
4 Jeanette Jensen 195 16.9% 0.1689775
5 Anita Andersen 171 14.8% 0.1481802
6 Silje Hansen 196 17% 0.1698440
Sysmiss 1181 NA


p7percontact2_ran1_2


Variable label: Experiment. Randomly assigns a value for textpiping in p7percontact2.
Technical description: [Randomized if p7group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1154] [Invalid:1181] [Range:1-6]

Value Label Cases Percentage
1 Nora Wilhelmsen 180 15.6% 0.1559792
2 Thea Friele 190 16.5% 0.1646447
3 Hedda Dahl 198 17.2% 0.1715771
4 Jeanette Jensen 181 15.7% 0.1568458
5 Anita Andersen 203 17.6% 0.1759099
6 Silje Hansen 202 17.5% 0.1750433
Sysmiss 1181 NA


p7percontact2_ran2_1


Variable label: Experiment. Randomly assigns a value for textpiping in p7percontact2.
Technical description: [Randomized if p7group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1154] [Invalid:1181] [Range:1-6]

Value Label Cases Percentage
1 and I work as a hairdresser 184 15.9% 0.1594454
2 and I work as a lawyer 205 17.8% 0.1776430
3 and I represent a women’s organisation 168 14.6% 0.1455806
4 and I represent a fisheries organisation 197 17.1% 0.1707106
5 and I represent a student organisation 197 17.1% 0.1707106
6 203 17.6% 0.1759099
Sysmiss 1181 NA


p7percontact2_ran2_2


Variable label: Experiment. Randomly assigns a value for textpiping in p7percontact2.
Technical description: [Randomized if p7group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1154] [Invalid:1181] [Range:1-6]

Value Label Cases Percentage
1 and I work as a hairdresser 216 18.7% 0.1871750
2 and I work as a lawyer 175 15.2% 0.1516464
3 and I represent a women’s organisation 200 17.3% 0.1733102
4 and I represent a fisheries organisation 183 15.9% 0.1585789
5 and I represent a student organisation 190 16.5% 0.1646447
6 190 16.5% 0.1646447
Sysmiss 1181 NA


p7percontact2_ran3_1


Variable label: Experiment. Randomly assigns a value for textpiping in p7percontact2.
Technical description: [Randomized if p7group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1154] [Invalid:1181] [Range:0-4]

Value Label Cases Percentage
0 . 219 19% 0.1897747
1 . I support your party and always vote for you. 265 23% 0.2296360
2 . I don’t usually vote. 238 20.6% 0.2062392
3 . I usually vote for a different party than yours. 214 18.5% 0.1854419
4 . I usually vote for other parties but am considering changing my vote at the next election. 218 18.9% 0.1889081
Sysmiss 1181 NA


p7percontact2_ran3_2


Variable label: Experiment. Randomly assigns a value for textpiping in p7percontact2.
Technical description: [Randomized if p7group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1154] [Invalid:1181] [Range:0-4]

Value Label Cases Percentage
0 . 249 21.6% 0.2157712
1 . I support your party and always vote for you. 240 20.8% 0.2079723
2 . I don’t usually vote. 230 19.9% 0.1993068
3 . I usually vote for a different party than yours. 216 18.7% 0.1871750
4 . I usually vote for other parties but am considering changing my vote at the next election. 219 19% 0.1897747
Sysmiss 1181 NA


p7percontact2_ran4_1


Variable label: Experiment. Randomly assigns a value for textpiping in p7percontact2.
Technical description: [Randomized if p7group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1154] [Invalid:1181] [Range:1-3]

Value Label Cases Percentage
1 I would like more information about 398 34.5% 0.3448873
2 I would like to express my support for 387 33.5% 0.3353553
3 I would like to express my criticism of 369 32% 0.3197574
Sysmiss 1181 NA


p7percontact2_ran4_2


Variable label: Experiment. Randomly assigns a value for textpiping in p7percontact2.
Technical description: [Randomized if p7group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1154] [Invalid:1181] [Range:1-3]

Value Label Cases Percentage
1 I would like more information about 367 31.8% 0.3180243
2 I would like to express my support for 413 35.8% 0.3578856
3 I would like to express my criticism of 374 32.4% 0.3240901
Sysmiss 1181 NA


p7percontact2


Variable label: If busy: Which e-mail would you respond to?
Pre-question text:

As an elected representative, it is sometimes necessary to prioritise what you spend time on. Imagine you are in a hurry and only manage to reply to one of two emails from two voters. Which voter would you choose to respond to?

Email 1

Hi,

My name is [p7percontact2_ran1_1][p7percontact2_ran2_1][p7percontact2_ran3_1]

I’m writing to you because [p7percontact2_ran4_1] your stance on property tax.

Can you elaborate on your views in this matter?

Best wishes,

[p7percontact2_ran1_1]

Email 2

Hi,

My name is [p7percontact2_ran1_2][p7percontact2_ran2_2][p7percontact2_ran3_2]

I’m writing to you because [p7percontact2_ran4_2] your stance on property tax.

Can you elaborate on your views in this matter?

Best wishes,

[p7percontact2_ran1_2]
Literal question: Which one would you have chosen to reply to?
Technical description:

[Asked if p7group = 1]

[Two versions of the e-mail is showed to the respondent. E-mail 1 collects values from [p7percontact2_ran1_1], [p7percontact2_ran2_1], [p7percontact2_ran3_1], [p7percontact2_ran4_1]. E-mail 2 collects values from [p7percontact2_ran1_2], [p7percontact2_ran2_2], [p7percontact2_ran3_2], [p7percontact2_ran4_2].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 E-mail 1 561 48.2% 0.48237317
2 E-mail 2 576 49.5% 0.49527085
97 Not answered 26 2.2% 0.02235598
98 Not asked 1172 NA


p7pertdr1_pipe1


Variable label: Experiment. Assigns an element for textpiping in p7pertdr1a-1f dependent on what level the representative is elected to.
Technical description: [Randomized if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1172] [Invalid:1163] [Range:1-2]

Value Label Cases Percentage
1 your municipal council 1086 92.7% 0.92662116
2 your county council 86 7.3% 0.07337884
Sysmiss 1163 NA


p7pertdr1_pipe2


Variable label: Experiment. Assigns an element for textpiping in p7pertdr1a-1f dependent on what level the representative is elected to.
Technical description: [Randomized if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1172] [Invalid:1163] [Range:1-2]

Value Label Cases Percentage
1 your municipality 1086 92.7% 0.92662116
2 your county 86 7.3% 0.07337884
Sysmiss 1163 NA


p7pertdr1_pipe3


Variable label: Experiment. Assigns an element for textpiping in p7pertdr1a-1f dependent on what level the representative is elected to.
Technical description: [Randomized if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1172] [Invalid:1163] [Range:1-2]

Value Label Cases Percentage
1 local roads 1086 92.7% 0.92662116
2 county roads 86 7.3% 0.07337884
Sysmiss 1163 NA


p7pertdr1a_ran


Variable label: Experiment. Randomly assigns an element for textpiping in p7pertdr1a.
Technical description: [Randomized if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1172] [Invalid:1163] [Range:1-3]

Value Label Cases Percentage
1 supports 374 31.9% 0.3191126
2 is against 384 32.8% 0.3276451
3 414 35.3% 0.3532423
Sysmiss 1163 NA


p7pertdr1a_ran_rev


Variable label: Experiment. Assigns the opposite value of p7pertdr1a_ran for textpiping in p7pertdr1a.
Technical description: [Randomized if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:758] [Invalid:1577] [Range:1-2]

Value Label Cases Percentage
1 supports 384 50.7% 0.5065963
2 is against 374 49.3% 0.4934037
Sysmiss 1577 NA


p7pertdr1b_ran


Variable label: Experiment. Randomly assigns an element for textpiping in p7pertdr1b.
Technical description: [Randomized if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1172] [Invalid:1163] [Range:1-3]

Value Label Cases Percentage
1 supports 389 33.2% 0.3319113
2 is against 391 33.4% 0.3336177
3 392 33.4% 0.3344710
Sysmiss 1163 NA


p7pertdr1b_ran_rev


Variable label: Experiment. Assigns the opposite value of p7pertdr1b_ran for textpiping in p7pertdr1b.
Technical description: [Randomized if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:780] [Invalid:1555] [Range:1-2]

Value Label Cases Percentage
1 supports 391 50.1% 0.5012821
2 is against 389 49.9% 0.4987179
Sysmiss 1555 NA


p7pertdr1c_ran


Variable label: Experiment. Randomly assigns an element for textpiping in p7pertdr1c.
Technical description: [Randomized if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1172] [Invalid:1163] [Range:1-3]

Value Label Cases Percentage
1 supports 404 34.5% 0.3447099
2 is against 382 32.6% 0.3259386
3 386 32.9% 0.3293515
Sysmiss 1163 NA


p7pertdr1c_ran_rev


Variable label: Experiment. Assigns the opposite value of p7pertdr1c_ran for textpiping in p7pertdr1c.
Technical description: [Randomized if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:786] [Invalid:1549] [Range:1-2]

Value Label Cases Percentage
1 supports 382 48.6% 0.4860051
2 is against 404 51.4% 0.5139949
Sysmiss 1549 NA


p7pertdr1d_ran


Variable label: Experiment. Randomly assigns an element for textpiping in p7pertdr1d.
Technical description: [Randomized if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1172] [Invalid:1163] [Range:1-3]

Value Label Cases Percentage
1 supports 427 36.4% 0.3643345
2 is against 374 31.9% 0.3191126
3 371 31.7% 0.3165529
Sysmiss 1163 NA


p7pertdr1d_ran_rev


Variable label: Experiment. Assigns the opposite value of p7pertdr1d_ran for textpiping in p7pertdr1d.
Technical description: [Randomized if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:801] [Invalid:1534] [Range:1-2]

Value Label Cases Percentage
1 supports 374 46.7% 0.4669164
2 is against 427 53.3% 0.5330836
Sysmiss 1534 NA


p7pertdr1e_ran


Variable label: Experiment. Randomly assigns an element for textpiping in p7pertdr1e.
Technical description: [Randomized if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1172] [Invalid:1163] [Range:1-3]

Value Label Cases Percentage
1 supports 410 35% 0.3498294
2 is against 365 31.1% 0.3114334
3 397 33.9% 0.3387372
Sysmiss 1163 NA


p7pertdr1e_ran_rev


Variable label: Experiment. Assigns the opposite value of p7pertdr1e_ran for textpiping in p7pertdr1e.
Technical description: [Randomized if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:775] [Invalid:1560] [Range:1-2]

Value Label Cases Percentage
1 supports 365 47.1% 0.4709677
2 is against 410 52.9% 0.5290323
Sysmiss 1560 NA


p7pertdr1f_ran


Variable label: Experiment. Randomly assigns an element for textpiping in p7pertdr1f.
Technical description: [Randomized if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1172] [Invalid:1163] [Range:1-3]

Value Label Cases Percentage
1 supports 396 33.8% 0.3378840
2 is against 353 30.1% 0.3011945
3 423 36.1% 0.3609215
Sysmiss 1163 NA


p7pertdr1f_ran_rev


Variable label: Experiment. Assigns the opposite value of p7pertdr1f_ran for textpiping in p7pertdr1f.
Technical description: [Randomized if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:749] [Invalid:1586] [Range:1-2]

Value Label Cases Percentage
1 supports 353 47.1% 0.4712951
2 is against 396 52.9% 0.5287049
Sysmiss 1586 NA


p7pertdr1a


Variable label: Support/oppose the construction of a new road in your municipality/county?
Pre-question text:

Imagine a hypothetical scenario in which [p7pertdr1_pipe1] discusses the construction of a new [p7pertdr1_pipe3] in [p7pertdr1_pipe2].

[p7pertdr1a_pipe]
Literal question: How strongly would you support or oppose the construction of a new [p7pertdr1_pipe3] in [p7pertdr1_pipe2]?
Technical description: [Asked if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 135 11.5% 0.115187713
2 Support strongly 328 28% 0.279863481
3 Support somewhat 272 23.2% 0.232081911
4 Neither support nor oppose 132 11.3% 0.112627986
5 Oppose somewhat 179 15.3% 0.152730375
6 Oppose strongly 101 8.6% 0.086177474
7 Oppose very strongly 19 1.6% 0.016211604
97 Not answered 6 0.5% 0.005119454
98 Not asked 1163 NA


p7pertdr1b


Variable label: Support/oppose the construction of a new hospital in your municipality/county?
Pre-question text:

Imagine a hypothetical scenario in which [p7pertdr1_pipe1] discusses the construction of a new hospital in [p7pertdr1_pipe2].

[p7pertdr1b_pipe]
Literal question: How strongly would you support or oppose the construction of a new hospital in [p7pertdr1_pipe2]?
Technical description: [Asked if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 207 17.7% 0.176621160
2 Support strongly 353 30.1% 0.301194539
3 Support somewhat 213 18.2% 0.181740614
4 Neither support nor oppose 129 11% 0.110068259
5 Oppose somewhat 134 11.4% 0.114334471
6 Oppose strongly 96 8.2% 0.081911263
7 Oppose very strongly 33 2.8% 0.028156997
97 Not answered 7 0.6% 0.005972696
98 Not asked 1163 NA


p7pertdr1c


Variable label: Support/oppose the construction the construction of a new nursing home in your municipality/county?
Pre-question text:

Imagine a hypothetical scenario in which [p7pertdr1_pipe1] discusses the construction of a new nursing home in [p7pertdr1_pipe2].

[p7pertdr1c_pipe]
Literal question: How strongly would you support or oppose the construction of a new nursing home in [p7pertdr1_pipe2]?
Technical description: [Asked if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 210 17.9% 0.179180887
2 Support strongly 414 35.3% 0.353242321
3 Support somewhat 225 19.2% 0.191979522
4 Neither support nor oppose 92 7.8% 0.078498294
5 Oppose somewhat 136 11.6% 0.116040956
6 Oppose strongly 72 6.1% 0.061433447
7 Oppose very strongly 13 1.1% 0.011092150
97 Not answered 10 0.9% 0.008532423
98 Not asked 1163 NA


p7pertdr1d


Variable label: Support/oppose the construction the construction of a new museum on the history of your municipality/county?
Pre-question text:

Imagine a hypothetical scenario in which [p7pertdr1_pipe1] discusses the construction of a new museum on the history of [P7pertdr1_pipe2].

[p7pertdr1d_pipe]
Literal question: How strongly would you support or oppose the construction of a new museum on the history of [P7pertdr1_pipe2]?
Technical description: [Asked if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 90 7.7% 0.076791809
2 Support strongly 281 24% 0.239761092
3 Support somewhat 322 27.5% 0.274744027
4 Neither support nor oppose 124 10.6% 0.105802048
5 Oppose somewhat 198 16.9% 0.168941980
6 Oppose strongly 121 10.3% 0.103242321
7 Oppose very strongly 34 2.9% 0.029010239
97 Not answered 2 0.2% 0.001706485
98 Not asked 1163 NA


p7pertdr1e


Variable label: Support/oppose the construction of a new wind farm in your municipality/county?
Pre-question text:

Imagine a hypothetical scenario in which [p7pertdr1_pipe1] discusses the construction of a new wind farm in [p7pertdr1_pipe2].

[p7pertdr1e_pipe]
Literal question: How strongly would you support or oppose the construction of a new wind farm in [p7pertdr1_pipe2]?
Technical description: [Asked if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 57 4.9% 0.048634812
2 Support strongly 139 11.9% 0.118600683
3 Support somewhat 179 15.3% 0.152730375
4 Neither support nor oppose 71 6.1% 0.060580205
5 Oppose somewhat 161 13.7% 0.137372014
6 Oppose strongly 243 20.7% 0.207337884
7 Oppose very strongly 320 27.3% 0.273037543
97 Not answered 2 0.2% 0.001706485
98 Not asked 1163 NA


p7pertdr1f


Variable label: Support/oppose the construction of a new waste plant in your municipality/county?
Pre-question text:

Imagine a hypothetical scenario in which [p7pertdr1_pipe1] discusses the construction of a new waste plant in [p7pertdr1_pipe2].

[p7pertdr1f_pipe]
Literal question: How strongly would you support or oppose the construction of a new waste plant in [p7pertdr1_pipe2]?
Technical description: [Asked if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 124 10.6% 0.105802048
2 Support strongly 440 37.5% 0.375426621
3 Support somewhat 236 20.1% 0.201365188
4 Neither support nor oppose 119 10.2% 0.101535836
5 Oppose somewhat 153 13.1% 0.130546075
6 Oppose strongly 81 6.9% 0.069112628
7 Oppose very strongly 17 1.5% 0.014505119
97 Not answered 2 0.2% 0.001706485
98 Not asked 1163 NA


p7pertdr1_q_order


Variable label: Reveals the order p7pertdr1a-1f was posed to the respondent.
Technical description: [Randomized if p7group = 2]
Technical attributes: [Question type:Open] [Format:character] [Valid:1172] [Invalid:1163] [Range:-]



p7per101_1


Variable label: How strong is your connection to: The neighbourhood or village you live in
Pre-question text: How strong is your connection to:
Literal question: The neighbourhood or village you live in
Technical description: [Asked if p7group = 2]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very strong connection 410 35% 0.349829352
2 Strong connection 481 41% 0.410409556
3 Some connection 235 20.1% 0.200511945
4 Small connection 33 2.8% 0.028156997
5 No connection 6 0.5% 0.005119454
97 Not answered 7 0.6% 0.005972696
98 Not asked 1163 NA


p7per101_2


Variable label: How strong is your connection to: The municipality you live in
Pre-question text: How strong is your connection to:
Literal question: The municipality you live in
Technical description: [Asked if p7group = 2]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very strong connection 452 38.6% 0.3856655290
2 Strong connection 535 45.6% 0.4564846416
3 Some connection 158 13.5% 0.1348122867
4 Small connection 20 1.7% 0.0170648464
5 No connection 1 0.1% 0.0008532423
97 Not answered 6 0.5% 0.0051194539
98 Not asked 1163 NA


p7per101_3


Variable label: How strong is your connection to: The county you live in
Pre-question text: How strong is your connection to:
Literal question: The county you live in
Technical description: [Asked if p7group = 2]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very strong connection 165 14.1% 0.140784983
2 Strong connection 399 34% 0.340443686
3 Some connection 386 32.9% 0.329351536
4 Small connection 177 15.1% 0.151023891
5 No connection 39 3.3% 0.033276451
97 Not answered 6 0.5% 0.005119454
98 Not asked 1163 NA


p7per101_4


Variable label: How strong is your connection to: The region (part of the country) you live in
Pre-question text: How strong is your connection to:
Literal question: The region (part of the country) you live in
Technical description: [Asked if p7group = 2]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very strong connection 200 17.1% 0.170648464
2 Strong connection 462 39.4% 0.394197952
3 Some connection 353 30.1% 0.301194539
4 Small connection 121 10.3% 0.103242321
5 No connection 26 2.2% 0.022184300
97 Not answered 10 0.9% 0.008532423
98 Not asked 1163 NA


p7per101_5


Variable label: How strong is your connection to: Norway
Pre-question text: How strong is your connection to:
Literal question: Norway
Technical description: [Asked if p7group = 2]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Very strong connection 628 53.6% 0.535836177
2 Strong connection 451 38.5% 0.384812287
3 Some connection 72 6.1% 0.061433447
4 Small connection 14 1.2% 0.011945392
5 No connection 0 0% 0.000000000
97 Not answered 7 0.6% 0.005972696
98 Not asked 1163 NA


p7per101_6


Variable label: How strong is your connection to: The Nordic countries
Pre-question text: How strong is your connection to:
Literal question: The Nordic countries
Technical description: [Asked if p7group = 2]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very strong connection 126 10.8% 0.107508532
2 Strong connection 408 34.8% 0.348122867
3 Some connection 465 39.7% 0.396757679
4 Small connection 143 12.2% 0.122013652
5 No connection 19 1.6% 0.016211604
97 Not answered 11 0.9% 0.009385666
98 Not asked 1163 NA


p7per101_7


Variable label: How strong is your connection to: Europe
Pre-question text: How strong is your connection to:
Literal question: Europe
Technical description: [Asked if p7group = 2]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very strong connection 123 10.5% 0.104948805
2 Strong connection 323 27.6% 0.275597270
3 Some connection 460 39.2% 0.392491468
4 Small connection 206 17.6% 0.175767918
5 No connection 52 4.4% 0.044368601
97 Not answered 8 0.7% 0.006825939
98 Not asked 1163 NA


p7per134


Variable label: Agree/disagree: Government authorities show little consideration for non-urban/rural Norway.
Pre-question text: To what extent do you agree or disagree with the statement:
Literal question: Government authorities show little consideration for non-urban/rural Norway.
Technical description: [Asked if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 327 27.9% 0.279010239
2 Agree 343 29.3% 0.292662116
3 Somewhat agree 236 20.1% 0.201365188
4 Neither agree nor disagree 60 5.1% 0.051194539
5 Somewhat disagree 76 6.5% 0.064846416
6 Disagree 93 7.9% 0.079351536
7 Strongly disagree 34 2.9% 0.029010239
97 Not answered 3 0.3% 0.002559727
98 Not asked 1163 NA


p7per135


Variable label: Agree/disagree: Government authorities should intervene with measures to even out economic inequalities that exist between different parts of the country.
Pre-question text: To what extent do you agree or disagree with the statement:
Literal question: Government authorities should intervene with measures to even out economic inequalities that exist between different parts of the country.
Technical description: [Asked if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 324 27.6% 0.276450512
2 Agree 403 34.4% 0.343856655
3 Somewhat agree 270 23% 0.230375427
4 Neither agree nor disagree 65 5.5% 0.055460751
5 Somewhat disagree 51 4.4% 0.043515358
6 Disagree 43 3.7% 0.036689420
7 Strongly disagree 14 1.2% 0.011945392
97 Not answered 2 0.2% 0.001706485
98 Not asked 1163 NA


p7per136


Variable label: Agree/disagree: Financial resources should be transferred from the rich parts of the country to parts that are not so rich to ensure that everyone receives public services of the same quality.
Pre-question text: To what extent do you agree or disagree with the statement:
Literal question: Financial resources should be transferred from the rich parts of the country to parts that are not so rich to ensure that everyone receives public services of the same quality.
Technical description: [Asked if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 206 17.6% 0.175767918
2 Agree 389 33.2% 0.331911263
3 Somewhat agree 338 28.8% 0.288395904
4 Neither agree nor disagree 93 7.9% 0.079351536
5 Somewhat disagree 64 5.5% 0.054607509
6 Disagree 59 5% 0.050341297
7 Strongly disagree 21 1.8% 0.017918089
97 Not answered 2 0.2% 0.001706485
98 Not asked 1163 NA


p7per110


Variable label: Economic situation in Norway
Pre-question text: How do you perceive the current economic situation in Norway?
Literal question: Do you think it is:
Technical description: [Asked if p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 524 44.7% 0.447098976
2 Good 528 45.1% 0.450511945
3 Somewhat good 77 6.6% 0.065699659
4 Neither good nor bad 18 1.5% 0.015358362
5 Somewhat bad 15 1.3% 0.012798635
6 Poorly 5 0.4% 0.004266212
7 Very poorly 2 0.2% 0.001706485
97 Not answered 3 0.3% 0.002559727
98 Not asked 1163 NA


p7per111


Variable label: Economic situation in your part of the country compared to the rest of the country
Literal question: If you compare the economic situation in/on [p7P2] with the rest of Norway, do you consider the situation in/on [p7P2] to be better, the same, or worse?
Technical description: [Asked if landsdel is answered & p7group = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Better 363 31% 0.309726962
2 The same 577 49.2% 0.492320819
3 Worse 224 19.1% 0.191126280
97 Not answered 8 0.7% 0.006825939
98 Not asked 1163 NA


p7per108a_1


Variable label: How strongly do you support: Further merging of municipalities.
Pre-question text: In recent years there has been a debate about the merging of counties/municipalities. Some people support additional mergers while other people believe that counties/municipalities should be given the opportunity to assume their original form. Other people, in turn, want to retain counties/municipalities in their present form.
Literal question: Further merging of municipalities.
Technical description:

[Asked if p7group = 2]

[Posed on the same page as p7per108b.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 115 9.8% 0.09812287
2 Support strongly 165 14.1% 0.14078498
3 Support somewhat 227 19.4% 0.19368601
4 Neither support nor oppose 149 12.7% 0.12713311
5 Oppose somewhat 157 13.4% 0.13395904
6 Oppose strongly 153 13.1% 0.13054608
7 Oppose very strongly 193 16.5% 0.16467577
97 Not answered 13 1.1% 0.01109215
98 Not asked 1163 NA


p7per108a_2


Variable label: How strongly do you support: Retain the present number of municipalities.
Pre-question text: In recent years there has been a debate about the merging of counties/municipalities. Some people support additional mergers while other people believe that counties/municipalities should be given the opportunity to assume their original form. Other people, in turn, want to retain counties/municipalities in their present form.
Literal question: Retain the present number of municipalities.
Technical description:

[Asked if p7group = 2]

[Posed on the same page as p7per108b.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 65 5.5% 0.05546075
2 Support strongly 151 12.9% 0.12883959
3 Support somewhat 182 15.5% 0.15529010
4 Neither support nor oppose 346 29.5% 0.29522184
5 Oppose somewhat 238 20.3% 0.20307167
6 Oppose strongly 109 9.3% 0.09300341
7 Oppose very strongly 58 4.9% 0.04948805
97 Not answered 23 2% 0.01962457
98 Not asked 1163 NA


p7per108a_3


Variable label: How strongly do you support: Give municipalities the opportunity to assume their original form.
Pre-question text: In recent years there has been a debate about the merging of counties/municipalities. Some people support additional mergers while other people believe that counties/municipalities should be given the opportunity to assume their original form. Other people, in turn, want to retain counties/municipalities in their present form.
Literal question: Give municipalities the opportunity to assume their original form.
Technical description:

[Asked if p7group = 2]

[Posed on the same page as p7per108b.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 170 14.5% 0.14505119
2 Support strongly 184 15.7% 0.15699659
3 Support somewhat 220 18.8% 0.18771331
4 Neither support nor oppose 136 11.6% 0.11604096
5 Oppose somewhat 163 13.9% 0.13907850
6 Oppose strongly 151 12.9% 0.12883959
7 Oppose very strongly 128 10.9% 0.10921502
97 Not answered 20 1.7% 0.01706485
98 Not asked 1163 NA


p7per108b_1


Variable label: How strongly do you support: Further merging of counties.
Pre-question text: In recent years there has been a debate about the merging of counties/municipalities. Some people support additional mergers while other people believe that counties/municipalities should be given the opportunity to assume their original form. Other people, in turn, want to retain counties/municipalities in their present form.
Literal question: Further merging of counties.
Technical description:

[Asked if p7group = 2]

[Posed on the same page as p7per108a.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 76 6.5% 0.06484642
2 Support strongly 74 6.3% 0.06313993
3 Support somewhat 131 11.2% 0.11177474
4 Neither support nor oppose 210 17.9% 0.17918089
5 Oppose somewhat 175 14.9% 0.14931741
6 Oppose strongly 225 19.2% 0.19197952
7 Oppose very strongly 263 22.4% 0.22440273
97 Not answered 18 1.5% 0.01535836
98 Not asked 1163 NA


p7per108b_2


Variable label: How strongly do you support: Retain the present number of counties.
Pre-question text: In recent years there has been a debate about the merging of counties/municipalities. Some people support additional mergers while other people believe that counties/municipalities should be given the opportunity to assume their original form. Other people, in turn, want to retain counties/municipalities in their present form.
Literal question: Retain the present number of counties.
Technical description:

[Asked if p7group = 2]

[Posed on the same page as p7per108a.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 66 5.6% 0.05631399
2 Support strongly 132 11.3% 0.11262799
3 Support somewhat 173 14.8% 0.14761092
4 Neither support nor oppose 333 28.4% 0.28412969
5 Oppose somewhat 208 17.7% 0.17747440
6 Oppose strongly 113 9.6% 0.09641638
7 Oppose very strongly 123 10.5% 0.10494881
97 Not answered 24 2% 0.02047782
98 Not asked 1163 NA


p7per108b_3


Variable label: How strongly do you support: Give counties the opportunity to assume their original form.
Pre-question text: In recent years there has been a debate about the merging of counties/municipalities. Some people support additional mergers while other people believe that counties/municipalities should be given the opportunity to assume their original form. Other people, in turn, want to retain counties/municipalities in their present form.
Literal question: Give counties the opportunity to assume their original form.
Technical description:

[Asked if p7group = 2]

[Posed on the same page as p7per108a.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 248 21.2% 0.21160410
2 Support strongly 194 16.6% 0.16552901
3 Support somewhat 210 17.9% 0.17918089
4 Neither support nor oppose 118 10.1% 0.10068259
5 Oppose somewhat 109 9.3% 0.09300341
6 Oppose strongly 111 9.5% 0.09470990
7 Oppose very strongly 168 14.3% 0.14334471
97 Not answered 14 1.2% 0.01194539
98 Not asked 1163 NA


p7pertdr3_1


Variable label: Advantage/disadvantage of a government comprising three levels: That power is divided between the different levels of government.
Pre-question text:

Norway has a system of government comprising three levels – the national, the regional (counties) and the municipal (municipality) level of government.

We want to know how advantageous or disadvantageous you find the following aspects of having multiple levels of government.

Literal question: That power is divided between the different levels of government.
Technical description:

[Asked if p7group = 2]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Very advantageous 532 45.4% 0.45392491
2 Slightly advantageous 421 35.9% 0.35921502
3 Slightly disadvantageous 141 12% 0.12030717
4 Very disadvantageous 43 3.7% 0.03668942
97 Not answered 35 3% 0.02986348
98 Not asked 1163 NA


p7pertdr3_2


Variable label: Advantage/disadvantage of a government comprising three levels: To allow the implementation of different laws adapted to the various needs and conditions in different parts of Norway.
Pre-question text:

Norway has a system of government comprising three levels – the national, the regional (counties) and the municipal (municipality) level of government.

We want to know how advantageous or disadvantageous you find the following aspects of having multiple levels of government.

Literal question: To allow the implementation of different laws adapted to the various needs and conditions in different parts of Norway.
Technical description:

[Asked if p7group = 2]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Very advantageous 226 19.3% 0.19283276
2 Slightly advantageous 468 39.9% 0.39931741
3 Slightly disadvantageous 237 20.2% 0.20221843
4 Very disadvantageous 203 17.3% 0.17320819
97 Not answered 38 3.2% 0.03242321
98 Not asked 1163 NA


p7pertdr3_3


Variable label: Advantage/disadvantage of a government comprising three levels: That different levels of governance can hold each other accountable for problems.
Pre-question text:

Norway has a system of government comprising three levels – the national, the regional (counties) and the municipal (municipality) level of government.

We want to know how advantageous or disadvantageous you find the following aspects of having multiple levels of government.

Literal question: That different levels of governance can hold each other accountable for problems.
Technical description:

[Asked if p7group = 2]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Very advantageous 239 20.4% 0.20392491
2 Slightly advantageous 494 42.2% 0.42150171
3 Slightly disadvantageous 286 24.4% 0.24402730
4 Very disadvantageous 111 9.5% 0.09470990
97 Not answered 42 3.6% 0.03583618
98 Not asked 1163 NA


p7pertdr3_4


Variable label: Advantage/disadvantage of a government comprising three levels: To allow the authorities in different parts of Norway to be involved in decisions concerning national issues.
Pre-question text:

Norway has a system of government comprising three levels – the national, the regional (counties) and the municipal (municipality) level of government.

We want to know how advantageous or disadvantageous you find the following aspects of having multiple levels of government.

Literal question: To allow the authorities in different parts of Norway to be involved in decisions concerning national issues.
Technical description:

[Asked if p7group = 2]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Very advantageous 412 35.2% 0.35153584
2 Slightly advantageous 527 45% 0.44965870
3 Slightly disadvantageous 136 11.6% 0.11604096
4 Very disadvantageous 58 4.9% 0.04948805
97 Not answered 39 3.3% 0.03327645
98 Not asked 1163 NA


p7pertdr3_5


Variable label: Advantage/disadvantage of a government comprising three levels: That different levels of governance can discuss how to best resolve specific problems.
Pre-question text:

Norway has a system of government comprising three levels – the national, the regional (counties) and the municipal (municipality) level of government.

We want to know how advantageous or disadvantageous you find the following aspects of having multiple levels of government.

Literal question: That different levels of governance can discuss how to best resolve specific problems.
Technical description:

[Asked if p7group = 2]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Very advantageous 609 52% 0.51962457
2 Slightly advantageous 428 36.5% 0.36518771
3 Slightly disadvantageous 74 6.3% 0.06313993
4 Very disadvantageous 25 2.1% 0.02133106
97 Not answered 36 3.1% 0.03071672
98 Not asked 1163 NA


p7pertdr3_6


Variable label: Advantage/disadvantage of a government comprising three levels: That different levels of governance are compelled to respect each other’s roles and responsibilities when addressing problems.
Pre-question text:

Norway has a system of government comprising three levels – the national, the regional (counties) and the municipal (municipality) level of government.

We want to know how advantageous or disadvantageous you find the following aspects of having multiple levels of government.

Literal question: That different levels of governance are compelled to respect each other’s roles and responsibilities when addressing problems.
Technical description:

[Asked if p7group = 2]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Very advantageous 458 39.1% 0.39078498
2 Slightly advantageous 509 43.4% 0.43430034
3 Slightly disadvantageous 125 10.7% 0.10665529
4 Very disadvantageous 42 3.6% 0.03583618
97 Not answered 38 3.2% 0.03242321
98 Not asked 1163 NA


p7pertdr2a_1


Variable label: How important for you as a municipal council representative: Control the decisions of the [chairmanship/city council] of your municipality
Pre-question text: Below you will find a list of tasks that can be part of your job as a municipal council representative. How important are the following tasks for you?
Literal question: Control and monitor the decisions and actions of the [chairmanship/city council] of your municipality.
Technical description:

[Asked if p7P6 = 1 & p7group = 2]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 319 29.4% 0.293738490
2 Important 466 42.9% 0.429097606
3 Fairly important 187 17.2% 0.172191529
4 Slightly important 66 6.1% 0.060773481
5 Not important at all 5 0.5% 0.004604052
97 Not answered 43 4% 0.039594843
98 Not asked 1249 NA


p7pertdr2a_2


Variable label: How important for you as a municipal council representative: Monitor the decisions of your county authority
Pre-question text: Below you will find a list of tasks that can be part of your job as a municipal council representative. How important are the following tasks for you?
Literal question: Monitor the decisions and actions of your county authority.
Technical description:

[Asked if p7P6 = 1 & p7group = 2]

[Display order of questions in grid: Randomized]

[Not posed to respondents from Oslo.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 123 11.3% 0.11325967
2 Important 390 35.9% 0.35911602
3 Fairly important 327 30.1% 0.30110497
4 Slightly important 177 16.3% 0.16298343
5 Not important at all 25 2.3% 0.02302026
97 Not answered 44 4.1% 0.04051565
98 Not asked 1249 NA


p7pertdr2a_3


Variable label: How important for you as a municipal council representative: Monitor the decision the national government
Pre-question text: Below you will find a list of tasks that can be part of your job as a municipal council representative. How important are the following tasks for you?
Literal question: Monitor the decisions and actions of the national government.
Technical description:

[Asked if p7P6 = 1 & p7group = 2]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 133 12.2% 0.12246777
2 Important 373 34.3% 0.34346225
3 Fairly important 363 33.4% 0.33425414
4 Slightly important 147 13.5% 0.13535912
5 Not important at all 27 2.5% 0.02486188
97 Not answered 43 4% 0.03959484
98 Not asked 1249 NA


p7pertdr2a_4


Variable label: How important for you as a municipal council representative: Influence the political priorities of the [chairmanship/city council] of your municipality
Pre-question text: Below you will find a list of tasks that can be part of your job as a municipal council representative. How important are the following tasks for you?
Literal question: Influence the main political priorities of the [chairmanship/city council] of your municipality.
Technical description:

[Asked if p7P6 = 1 & p7group = 2]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 505 46.5% 0.465009208
2 Important 447 41.2% 0.411602210
3 Fairly important 80 7.4% 0.073664825
4 Slightly important 10 0.9% 0.009208103
5 Not important at all 3 0.3% 0.002762431
97 Not answered 41 3.8% 0.037753223
98 Not asked 1249 NA


p7pertdr2a_5


Variable label: How important for you as a municipal council representative: Propose new policies for your municipality
Pre-question text: Below you will find a list of tasks that can be part of your job as a municipal council representative. How important are the following tasks for you?
Literal question: Propose new policies for your municipality.
Technical description:

[Asked if p7P6 = 1 & p7group = 2]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 465 42.8% 0.428176796
2 Important 416 38.3% 0.383057090
3 Fairly important 131 12.1% 0.120626151
4 Slightly important 26 2.4% 0.023941068
5 Not important at all 7 0.6% 0.006445672
97 Not answered 41 3.8% 0.037753223
98 Not asked 1249 NA


p7pertdr2a_6


Variable label: How important for you as a municipal council representative: Influence municipal policy with the views of your municipal party
Pre-question text: Below you will find a list of tasks that can be part of your job as a municipal council representative. How important are the following tasks for you?
Literal question: Influence the implementation of municipal policy so that it is more in line with the views of your municipal party.
Technical description:

[Asked if p7P6 = 1 & p7group = 2]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 465 42.8% 0.428176796
2 Important 466 42.9% 0.429097606
3 Fairly important 101 9.3% 0.093001842
4 Slightly important 9 0.8% 0.008287293
5 Not important at all 4 0.4% 0.003683241
97 Not answered 41 3.8% 0.037753223
98 Not asked 1249 NA


p7pertdr2a_7


Variable label: How important for you as a municipal council representative: Influence municipal policy with the views of your national party
Pre-question text: Below you will find a list of tasks that can be part of your job as a municipal council representative. How important are the following tasks for you?
Literal question: Influence the implementation of municipal policy so that it is more in line with the views of your national party.
Technical description:

[Asked if p7P6 = 1 & p7group = 2]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 168 15.5% 0.15469613
2 Important 411 37.8% 0.37845304
3 Fairly important 326 30% 0.30018416
4 Slightly important 107 9.9% 0.09852670
5 Not important at all 32 2.9% 0.02946593
97 Not answered 42 3.9% 0.03867403
98 Not asked 1249 NA


p7pertdr2a_8


Variable label: How important for you as a municipal council representative: Influence municipal policy with the preferences of the inhabitants in your municipality
Pre-question text: Below you will find a list of tasks that can be part of your job as a municipal council representative. How important are the following tasks for you?
Literal question: Influence the implementation of municipal policy so that it is more in line with the preferences of the inhabitants in your municipality.
Technical description:

[Asked if p7P6 = 1 & p7group = 2]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 358 33% 0.329650092
2 Important 539 49.6% 0.496316759
3 Fairly important 132 12.2% 0.121546961
4 Slightly important 12 1.1% 0.011049724
5 Not important at all 3 0.3% 0.002762431
97 Not answered 42 3.9% 0.038674033
98 Not asked 1249 NA


p7pertdr2a_9


Variable label: How important for you as a municipal council representative: Influence national government policy with the preferences of inhabitants in your municipality
Pre-question text: Below you will find a list of tasks that can be part of your job as a municipal council representative. How important are the following tasks for you?
Literal question: Influence the implementation of national government policy so that it is more in line with the preferences of inhabitants in your municipality.
Technical description:

[Asked if p7P6 = 1 & p7group = 2]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 228 21% 0.20994475
2 Important 457 42.1% 0.42081031
3 Fairly important 265 24.4% 0.24401473
4 Slightly important 80 7.4% 0.07366483
5 Not important at all 14 1.3% 0.01289134
97 Not answered 42 3.9% 0.03867403
98 Not asked 1249 NA


p7pertdr2b_1


Variable label: How important for you as a county council representative: Check the decisions of the [county executive board/county council] in your county
Pre-question text: Below you will find a list of tasks that can be part of your job as a county council representative. How important are the following tasks for you?
Literal question: Check and monitor the decisions and actions of the [county executive board/county council] in your county.
Technical description:

[Asked if p7P6 = 2 & p7group = 2]

[Display order of questions in grid: Randomized]

[Not posed to respondents from Oslo.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 18 20.9% 0.20930233
2 Important 34 39.5% 0.39534884
3 Fairly important 22 25.6% 0.25581395
4 Slightly important 4 4.7% 0.04651163
5 Not important at all 6 7% 0.06976744
97 Not answered 2 2.3% 0.02325581
98 Not asked 2249 NA


p7pertdr2b_2


Variable label: How important for you as a county council representative: Monitor the decisions of the municipalities in your county
Pre-question text: Below you will find a list of tasks that can be part of your job as a county council representative. How important are the following tasks for you?
Literal question: Monitor the decisions and actions of the municipalities in your county.
Technical description:

[Asked if p7P6 = 2 & p7group = 2]

[Display order of questions in grid: Randomized]

[Not posed to respondents from Oslo.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 7 8.1% 0.08139535
2 Important 20 23.3% 0.23255814
3 Fairly important 26 30.2% 0.30232558
4 Slightly important 26 30.2% 0.30232558
5 Not important at all 6 7% 0.06976744
97 Not answered 1 1.2% 0.01162791
98 Not asked 2249 NA


p7pertdr2b_3


Variable label: How important for you as a county council representative: Monitor the decisions of the national government
Pre-question text: Below you will find a list of tasks that can be part of your job as a county council representative. How important are the following tasks for you?
Literal question: Monitor the decisions and actions of the national government.
Technical description:

[Asked if p7P6 = 2 & p7group = 2]

[Display order of questions in grid: Randomized]

[Not posed to respondents from Oslo.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 18 20.9% 0.20930233
2 Important 27 31.4% 0.31395349
3 Fairly important 25 29.1% 0.29069767
4 Slightly important 10 11.6% 0.11627907
5 Not important at all 4 4.7% 0.04651163
97 Not answered 2 2.3% 0.02325581
98 Not asked 2249 NA


p7pertdr2b_4


Variable label: How important for you as a county council representative: Influence the political priorities of the [county executive board/county council] in your county
Pre-question text: Below you will find a list of tasks that can be part of your job as a county council representative. How important are the following tasks for you?
Literal question: Influence the main political priorities of the [county executive board/county council] in your county.
Technical description:

[Asked if p7P6 = 2 & p7group = 2]

[Display order of questions in grid: Randomized]

[Not posed to respondents from Oslo.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 39 45.3% 0.45348837
2 Important 35 40.7% 0.40697674
3 Fairly important 6 7% 0.06976744
4 Slightly important 0 0% 0.00000000
5 Not important at all 3 3.5% 0.03488372
97 Not answered 3 3.5% 0.03488372
98 Not asked 2249 NA


p7pertdr2b_5


Variable label: How important for you as a county council representative: Propose new policies for your county
Pre-question text: Below you will find a list of tasks that can be part of your job as a county council representative. How important are the following tasks for you?
Literal question: Propose new policies for your county.
Technical description:

[Asked if p7P6 = 2 & p7group = 2]

[Display order of questions in grid: Randomized]

[Not posed to respondents from Oslo.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Very important 54 62.8% 0.62790698
2 Important 30 34.9% 0.34883721
3 Fairly important 1 1.2% 0.01162791
4 Slightly important 0 0% 0.00000000
5 Not important at all 0 0% 0.00000000
97 Not answered 1 1.2% 0.01162791
98 Not asked 2249 NA


p7pertdr2b_6


Variable label: How important for you as a county council representative: Influence county policy with the views of your county party
Pre-question text: Below you will find a list of tasks that can be part of your job as a county council representative. How important are the following tasks for you?
Literal question: Influence the implementation of county policy so that it is more in line with the views of your county party.
Technical description:

[Asked if p7P6 = 2 & p7group = 2]

[Display order of questions in grid: Randomized]

[Not posed to respondents from Oslo.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 50 58.1% 0.58139535
2 Important 29 33.7% 0.33720930
3 Fairly important 4 4.7% 0.04651163
4 Slightly important 1 1.2% 0.01162791
5 Not important at all 1 1.2% 0.01162791
97 Not answered 1 1.2% 0.01162791
98 Not asked 2249 NA


p7pertdr2b_7


Variable label: How important for you as a county council representative: Influence county policy with the views of your national party
Pre-question text: Below you will find a list of tasks that can be part of your job as a county council representative. How important are the following tasks for you?
Literal question: Influence the implementation of county policy so that it is more in line with the views of your national party.
Technical description:

[Asked if p7P6 = 2 & p7group = 2]

[Display order of questions in grid: Randomized]

[Not posed to respondents from Oslo.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Very important 30 34.9% 0.34883721
2 Important 35 40.7% 0.40697674
3 Fairly important 17 19.8% 0.19767442
4 Slightly important 3 3.5% 0.03488372
5 Not important at all 0 0% 0.00000000
97 Not answered 1 1.2% 0.01162791
98 Not asked 2249 NA


p7pertdr2b_8


Variable label: How important for you as a county council representative: Influence county policy with the preferences of the inhabitants in your county
Pre-question text: Below you will find a list of tasks that can be part of your job as a county council representative. How important are the following tasks for you?
Literal question: Influence the implementation of county policy so that it is more in line with the preferences of the inhabitants in your county.
Technical description:

[Asked if p7P6 = 2 & p7group = 2]

[Display order of questions in grid: Randomized]

[Not posed to respondents from Oslo.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Very important 22 25.6% 0.25581395
2 Important 44 51.2% 0.51162791
3 Fairly important 18 20.9% 0.20930233
4 Slightly important 1 1.2% 0.01162791
5 Not important at all 0 0% 0.00000000
97 Not answered 1 1.2% 0.01162791
98 Not asked 2249 NA


p7pertdr2b_9


Variable label: How important for you as a county council representative: Influence national government policy with the preferences of inhabitants in your county
Pre-question text: Below you will find a list of tasks that can be part of your job as a county council representative. How important are the following tasks for you?
Literal question: Influence the implementation of national government policy so that it is more in line with the preferences of inhabitants in your county.
Technical description:

[Asked if p7P6 = 2 & p7group = 2]

[Display order of questions in grid: Randomized]

[Not posed to respondents from Oslo.]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 20 23.3% 0.23255814
2 Important 40 46.5% 0.46511628
3 Fairly important 22 25.6% 0.25581395
4 Slightly important 1 1.2% 0.01162791
5 Not important at all 1 1.2% 0.01162791
97 Not answered 2 2.3% 0.02325581
98 Not asked 2249 NA


p7pergender_ran


Variable label: Experiment. Randomly selects whether the respondent is exposed to [p7gender3a] or [p7gender3b] first.
Technical description: [Randomized for all respondents]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2286] [Invalid:49] [Range:1-2]

Value Label Cases Percentage
1 p7pergender3a is posed first 1166 51% 0.5100612
2 p7pergender3b is posed first 1120 49% 0.4899388
Sysmiss 49 NA


p7pergender3a


Variable label: To what extent would you say that you had female characteristics?
Pre-question text: Occasionally, individuals can be referred to as having female and/or male characteristics.
Literal question: To what extent would you say that you had female characteristics?
Technical description: [All respondents asked][Posed on the same page as p7pergender3b][If [p7pergender_ran == 1] the respondent was exposed to p7pergender3a first]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 0 = "I have no female characteristics" 306 13.1% 0.13104925
1 1 203 8.7% 0.08693790
2 2 326 14% 0.13961456
3 3 305 13.1% 0.13062099
4 4 157 6.7% 0.06723769
5 5 223 9.6% 0.09550321
6 6 130 5.6% 0.05567452
7 7 209 9% 0.08950749
8 8 192 8.2% 0.08222698
9 9 102 4.4% 0.04368308
10 10 = "I have only female characteristics" 77 3.3% 0.03297645
97 Not answered 105 4.5% 0.04496788


p7pergender3b


Variable label: To what extent would you say that you had male characteristics?
Pre-question text: Occasionally, individuals can be referred to as having female and/or male characteristics.
Literal question: To what extent would you say that you had male characteristics?
Technical description: [All respondents asked][Posed on the same page as p7pergender3a][If [p7pergender_ran == 2] the respondent was exposed to p7pergender3b first]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 0 = "I have no male characteristics" 98 4.2% 0.04197002
1 1 83 3.6% 0.03554604
2 2 132 5.7% 0.05653105
3 3 175 7.5% 0.07494647
4 4 131 5.6% 0.05610278
5 5 234 10% 0.10021413
6 6 183 7.8% 0.07837259
7 7 326 14% 0.13961456
8 8 426 18.2% 0.18244111
9 9 208 8.9% 0.08907923
10 10 = "I have only male characteristics" 231 9.9% 0.09892934
97 Not answered 108 4.6% 0.04625268


p7perearth1_ran1


Variable label: Experiment. Randomly assigns an element for textpiping in [p7perearth1].
Technical description: [Randomized if p7group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1145] [Invalid:1190] [Range:0-1]

Value Label Cases Percentage
0 590 51.5% 0.5152838
1 m It has been reported that two thirds of Norway’s ice mass will disappear within the next 70 –100 years (source: link 1) 555 48.5% 0.4847162
Sysmiss 1190 NA


p7perearth1_ran2


Variable label: Experiment. Randomly assigns an element for textpiping in [p7perearth1].
Technical description: [Randomized if p7group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1145] [Invalid:1190] [Range:0-2]

Value Label Cases Percentage
0 393 34.3% 0.3432314
1 which can supply Norwegian industry 386 33.7% 0.3371179
2 which can supplement energy supply in Europe 366 32% 0.3196507
Sysmiss 1190 NA


p7perearth1_ran3


Variable label: Experiment. Randomly assigns an element for textpiping in [p7perearth1].
Technical description:

[Randomized if p7group = 1]

[Experiment. When p7perearth1_ran3 is randomly assigned to ‘0’, then p7perearth1_ran4 will also be assigned to ‘0’.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1145] [Invalid:1190] [Range:0-3]

Value Label Cases Percentage
0 487 42.5% 0.4253275
1 One argument in favour of this is that it creates more jobs in local government. 226 19.7% 0.1973799
2 One argument in favour of this is that it helps protect against floods that occur as a consequence of extreme weather. 216 18.9% 0.1886463
3 One argument in favour of this is that it helps reduce Norway’s reliance on oil revenues. 216 18.9% 0.1886463
Sysmiss 1190 NA


p7perearth1_ran4


Variable label: Experiment. Randomly assigns an element for textpiping in [p7perearth1].
Technical description:

[Randomized if p7group = 1]

[Experiment. When p7perearth1_ran4 is randomly assigned to ‘0’, then p7perearth1_ran3 will also be assigned to ‘0’.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1145] [Invalid:1190] [Range:0-3]

Value Label Cases Percentage
0 487 42.5% 0.4253275
1 One argument against this is that it results in developments that change the landscape. 211 18.4% 0.1842795
2 One argument against this is that flora and fauna will be irreparably damaged. 235 20.5% 0.2052402
3 One argument against this is the significant cost of building a hydroelectric power plant. 212 18.5% 0.1851528
Sysmiss 1190 NA


p7perearth1


Variable label: Support/oppose: construct a hydroelectric power plant
Pre-question text:

As a consequence of climate change, glaciers throughout the world are melting, including in Norway. [p7perearth1_ran1]

Imagine a municipality in Norway with such a glacier. When it melts, new water reservoirs become available. It is therefore been proposed that a new hydroelectric power plant is built to produce renewable energy[p7perearth1_ran2].

[p7perearth1_ran3]

[p7perearth1_ran4]

Imagine that you were involved in making a decision regarding the hydroelectric power plant.
Literal question: To what extent would you support or oppose building such a hydroelectric power plant?
Technical description: [Asked if p7group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 157 13.5% 0.13499570
2 Support strongly 340 29.2% 0.29234738
3 Support somewhat 316 27.2% 0.27171109
4 Neither support nor oppose 100 8.6% 0.08598452
5 Oppose somewhat 106 9.1% 0.09114359
6 Oppose strongly 79 6.8% 0.06792777
7 Oppose very strongly 38 3.3% 0.03267412
97 Not answered 27 2.3% 0.02321582
98 Not asked 1172 NA


p7perearth1_onclick


Variable label: Experiment. Collects whether the respondent has accessed the link in the second alternative in [p7perearth1_ran1]. The link is only available to respondents which has [p7perearth1_ran1 == 1].
Technical description: [Asked if p7group = 1]
Technical attributes: [Question type:Open] [Format:integer] [Valid:0] [Invalid:2335] [Range:-]



p7perearth2b_1


Variable label: Support/oppose: Significantly reduce international flights
Pre-question text:

Glaciers melt as a result of climate change (source: link 1) and this can be prevented to some extent if we change our lifestyles.

To what extent do you support or oppose political regulation for the following purposes to contribute to this:

Literal question: Significantly reduce international flights
Post-question: If you require further information about the effect that lifestyle change can have on climate change, see the report from the Norwegian Environment Agency (link 2).
Technical description:

[Asked if p7perearth2_ran = 2, 3 & p7group = 1]

[Link 1 (NVE): https://www.nve.no/vann-og-vassdrag/vannets-kretslop/bre/breer-og-klima/][Link 2 (Miljødirektoratet): https://www.miljodirektoratet.no/publikasjoner/2020/januar-2020/klimakur2030/]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 88 11% 0.11000
2 Support strongly 171 21.4% 0.21375
3 Support somewhat 281 35.1% 0.35125
4 Neither support nor oppose 89 11.1% 0.11125
5 Oppose somewhat 63 7.9% 0.07875
6 Oppose strongly 48 6% 0.06000
7 Oppose very strongly 34 4.3% 0.04250
97 Not answered 26 3.2% 0.03250
98 Not asked 1535 NA


p7perearth2b_2


Variable label: Support/oppose: Significantly reduce the number of non-electric cars
Pre-question text:

Glaciers melt as a result of climate change (source: link 1) and this can be prevented to some extent if we change our lifestyles.

To what extent do you support or oppose political regulation for the following purposes to contribute to this:

Literal question: Significantly reduce the number of non-electric cars
Post-question: If you require further information about the effect that lifestyle change can have on climate change, see the report from the Norwegian Environment Agency (link 2).
Technical description:

[Asked if p7perearth2_ran = 2, 3 & p7group = 1]

[Link 1 (NVE): https://www.nve.no/vann-og-vassdrag/vannets-kretslop/bre/breer-og-klima/][Link 2 (Miljødirektoratet): https://www.miljodirektoratet.no/publikasjoner/2020/januar-2020/klimakur2030/]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 82 10.2% 0.10250
2 Support strongly 182 22.8% 0.22750
3 Support somewhat 211 26.4% 0.26375
4 Neither support nor oppose 102 12.8% 0.12750
5 Oppose somewhat 95 11.9% 0.11875
6 Oppose strongly 53 6.6% 0.06625
7 Oppose very strongly 49 6.1% 0.06125
97 Not answered 26 3.2% 0.03250
98 Not asked 1535 NA


p7perearth2b_3


Variable label: Support/oppose: Significantly reduce the use of disposable items
Pre-question text:

Glaciers melt as a result of climate change (source: link 1) and this can be prevented to some extent if we change our lifestyles.

To what extent do you support or oppose political regulation for the following purposes to contribute to this:

Literal question: Significantly reduce the use of disposable items
Post-question: If you require further information about the effect that lifestyle change can have on climate change, see the report from the Norwegian Environment Agency (link 2).
Technical description:

[Asked if p7perearth2_ran = 2, 3 & p7group = 1]

[Link 1 (NVE): https://www.nve.no/vann-og-vassdrag/vannets-kretslop/bre/breer-og-klima/][Link 2 (Miljødirektoratet): https://www.miljodirektoratet.no/publikasjoner/2020/januar-2020/klimakur2030/]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 243 30.4% 0.30375
2 Support strongly 295 36.9% 0.36875
3 Support somewhat 149 18.6% 0.18625
4 Neither support nor oppose 45 5.6% 0.05625
5 Oppose somewhat 27 3.4% 0.03375
6 Oppose strongly 6 0.7% 0.00750
7 Oppose very strongly 10 1.3% 0.01250
97 Not answered 25 3.1% 0.03125
98 Not asked 1535 NA


p7perearth2b_4


Variable label: Support/oppose: Encourage a more plant-based diet by taxing and subsidising foods
Pre-question text:

Glaciers melt as a result of climate change (source: link 1) and this can be prevented to some extent if we change our lifestyles.

To what extent do you support or oppose political regulation for the following purposes to contribute to this:

Literal question: Encourage a more plant-based diet by taxing and subsidising foods
Post-question: If you require further information about the effect that lifestyle change can have on climate change, see the report from the Norwegian Environment Agency (link 2).
Technical description:

[Asked if p7perearth2_ran = 2, 3 & p7group = 1]

[Link 1 (NVE): https://www.nve.no/vann-og-vassdrag/vannets-kretslop/bre/breer-og-klima/][Link 2 (Miljødirektoratet): https://www.miljodirektoratet.no/publikasjoner/2020/januar-2020/klimakur2030/]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 45 5.6% 0.05625
2 Support strongly 85 10.6% 0.10625
3 Support somewhat 186 23.2% 0.23250
4 Neither support nor oppose 123 15.4% 0.15375
5 Oppose somewhat 125 15.6% 0.15625
6 Oppose strongly 108 13.5% 0.13500
7 Oppose very strongly 103 12.9% 0.12875
97 Not answered 25 3.1% 0.03125
98 Not asked 1535 NA


p7perearth2b_5


Variable label: Support/oppose: Encourage a more plant-based diet by providing useful information about how this can be achieved in a healthy way
Pre-question text:

Glaciers melt as a result of climate change (source: link 1) and this can be prevented to some extent if we change our lifestyles.

To what extent do you support or oppose political regulation for the following purposes to contribute to this:

Literal question: Encourage a more plant-based diet by providing useful information about how this can be achieved in a healthy way
Post-question: If you require further information about the effect that lifestyle change can have on climate change, see the report from the Norwegian Environment Agency (link 2).
Technical description:

[Asked if p7perearth2_ran = 2, 3 & p7group = 1]

[Link 1 (NVE): https://www.nve.no/vann-og-vassdrag/vannets-kretslop/bre/breer-og-klima/][Link 2 (Miljødirektoratet): https://www.miljodirektoratet.no/publikasjoner/2020/januar-2020/klimakur2030/]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Support very strongly 130 16.2% 0.16250
2 Support strongly 156 19.5% 0.19500
3 Support somewhat 206 25.8% 0.25750
4 Neither support nor oppose 115 14.4% 0.14375
5 Oppose somewhat 68 8.5% 0.08500
6 Oppose strongly 54 6.8% 0.06750
7 Oppose very strongly 47 5.9% 0.05875
97 Not answered 24 3% 0.03000
98 Not asked 1535 NA


p7perurban


Variable label: Which description best fits the area you live in?
Literal question: Which description best fits the area you live in?
Post-question: In this context, we are thinking about Norwegian conditions.
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A large city 137 5.9% 0.05867238
2 A suburb or the outskirts of a big city 168 7.2% 0.07194861
3 A small or medium-sized city 641 27.5% 0.27451820
4 A village 714 30.6% 0.30578158
5 A sparsely populated area 604 25.9% 0.25867238
97 Not answered 71 3% 0.03040685


p7per34


Variable label: What is your highest completed education?
Literal question: What is your highest completed education?
Post-question: If you have obtained multiple qualifications of the same level, select the one that is the most relevant to you.
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-12]

Value Label Cases Percentage
1 No completed education 4 0.2% 0.001713062
2 Primary and lower secondary school (completed either the first part of compulsory education (elementary school), primary and lower secondary school, upper secondary school, 7-year elementary school, secondary modern school or lower secondary school) 62 2.7% 0.026552463
3 Secondary education – general studies/programme for general studies, one-year supplementary study for university and college admission certification (VK2, VG3, High School, business college) 133 5.7% 0.056959315
4 Secondary education – vocational line of study/education programme (e.g. VK2, VK3, VG3, apprenticeship examination, apprentices’ final exam, business college) 251 10.7% 0.107494647
5 Craft training (e.g. vocational school, technical school/college, maritime vocational school, officer candidate school, pilot training, secretary school, home industry school/handicrafts school, master craftsman certificate training) 234 10% 0.100214133
6 University/College, less than 3 years, but at least 2 years (e.g. university college graduate 2 and 2½ years) 256 11% 0.109635974
7 College – 3-4 year education (Bachelor-, cand.mag., teacher training college, school of nursing, preschool teacher, engineer, business graduate, maritime subjects, aviation subjects, military subjects etc.) 459 19.7% 0.196573876
8 University – 3-4 year education (BA, cand.mag.) 191 8.2% 0.081798715
9 University college – 5-6 year education (MA, subject at second degree level or longer vocational education on a university college level) 247 10.6% 0.105781585
10 University 5-6 year education (Master, majors or a longer professional education (e.g. MA in Theology., MA in Psychology., Doctor of Medicine, chartered engineer, graduate in architecture, Master of Science in Business and Economics) 379 16.2% 0.162312634
11 Researcher level (Doctorate, Ph.d.) 40 1.7% 0.017130621
12 None of these (describe): 13 0.6% 0.005567452
97 Not answered 66 2.8% 0.028265525


p7per34_12_other


Variable label: Other: What is your highest completed education?
Pre-question text: What is your highest completed education?
Literal question: None of these: describe
Post-question: If you have obtained multiple qualifications of the same level, select the one that is the most relevant to you.
Technical description:

[All respondents asked]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Single - Other] [Format:character] [Valid:0] [Invalid:2335] [Range:-]



p7perincome


Variable label: What was the total income of your family in 2021?
Literal question: What was the total income of your family in 2021?
Post-question: We are referring here to work income plus pension income, capital income, share dividends, and all other forms of income during the year.
Technical description: [All respondents asked]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-16]

Value Label Cases Percentage
1 Less than NOK 100,000 7 0.3% 0.0029978587
2 NOK 100,000–250,000 19 0.8% 0.0081370450
3 NOK 250,001–400,000 77 3.3% 0.0329764454
4 NOK 400,001–550,000 161 6.9% 0.0689507495
5 NOK 550,001–700,000 276 11.8% 0.1182012848
6 NOK 700,001–800,000 196 8.4% 0.0839400428
7 NOK 800,001–900,000 199 8.5% 0.0852248394
8 NOK 900,001–1,000,000 183 7.8% 0.0783725910
9 NOK 1,000,001–1,300,000 463 19.8% 0.1982869379
10 NOK 1,300,001–1,600,000 345 14.8% 0.1477516060
11 NOK 1,600,001–2,000,000 196 8.4% 0.0839400428
12 NOK 2,000,001–3,000,000 78 3.3% 0.0334047109
13 NOK 3,000,001–5,000,000 23 1% 0.0098501071
14 NOK 5,000,001–10,000,000 6 0.3% 0.0025695931
15 Over NOK 10,000,000 1 0% 0.0004282655
16 Don’t know 34 1.5% 0.0145610278
97 Not answered 71 3% 0.0304068522


p7perwealth


Variable label: What was the total assets of your household in 2021?
Literal question: What was the total assets of your household in 2021?
Post-question: We are referring to the value of your house plus the value of any vehicles, second homes, stocks and mutual funds, savings accounts, retirement accounts and all other assets, minus what is owed on mortgages, car loans and other debts.
Technical description: [Asked if p7group = 1]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-16]

Value Label Cases Percentage
1 Less than NOK 50,000 153 13.2% 0.131556320
2 NOK 50,000–200,000 61 5.2% 0.052450559
3 NOK 200,001–400,000 69 5.9% 0.059329321
4 NOK 400,001–750,000 63 5.4% 0.054170249
5 NOK 750,001–1,000,000 60 5.2% 0.051590714
6 NOK 1,000,001–1,500,000 80 6.9% 0.068787618
7 NOK 1,500,001–2,500,000 145 12.5% 0.124677558
8 NOK 2,500,001–5,000,000 241 20.7% 0.207222700
9 NOK 5,000,001–10,000,000 113 9.7% 0.097162511
10 NOK 10,000,001–20,000,000 48 4.1% 0.041272571
11 NOK 20,000,001–30,000,000 4 0.3% 0.003439381
12 NOK 30,000,001–40,000,000 6 0.5% 0.005159071
13 NOK 40,000,001–50,000,000 3 0.3% 0.002579536
14 NOK 50,000,001–100,000,000 6 0.5% 0.005159071
15 Over NOK 100,000,000 5 0.4% 0.004299226
16 Don’t know 75 6.4% 0.064488392
97 Not answered 31 2.7% 0.026655202
98 Not asked 1172 NA


p7avslutt


Variable label: Closing comments
Technical description:

[All respondents asked]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open] [Format:character] [Valid:0] [Invalid:2335] [Range:-]



p7P1


Variable label: Gender
Technical attributes: [Question type: -] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Male 1464 62.7% 0.6269807
2 Female 871 37.3% 0.3730193


p7P2


Variable label: Region where the representative is elected
Technical attributes: [Question type: -] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-99]

Value Label Cases Percentage
1 Oslo 25 1.1% 0.010706638
2 Østlandet 899 38.5% 0.385010707
3 Sørlandet 163 7% 0.069807281
4 Vestlandet 700 30% 0.299785867
5 Trøndelag 201 8.6% 0.086081370
6 Nord-Norge 342 14.6% 0.146466809
99 Not relevant 5 0.2% 0.002141328


p7P3


Variable label: County where the representative is elected
Technical attributes: [Question type: -] [Format:numeric] [Valid:2335] [Invalid:0] [Range:3-99]

Value Label Cases Percentage
3 Oslo 25 1.1% 0.010706638
11 Rogaland 192 8.2% 0.082226981
15 Møre og Romsdal 196 8.4% 0.083940043
18 Nordland 183 7.8% 0.078372591
30 Viken 434 18.6% 0.185867238
34 Innlandet 256 11% 0.109635974
38 Vestfold og Telemark 209 9% 0.089507495
42 Agder 163 7% 0.069807281
46 Vestlandet 312 13.4% 0.133618844
50 Trøndelag 201 8.6% 0.086081370
54 Troms og Finnmark 159 6.8% 0.068094218
99 Not relevant 5 0.2% 0.002141328


p7P3_1


Variable label: Municipality
Technical attributes: [Question type: -] [Format:numeric] [Valid:2335] [Invalid:0] [Range:301-99999]



p7P4_1


Variable label: Highest level of completed education (condensed)
Technical attributes: [Question type: -] [Format:integer] [Valid:2335] [Invalid:0] [Range:-]

Value Label Cases Percentage
1 No education/elementary school 69 3% 0.02955032
2 Upper secondary education 629 26.9% 0.26937901
3 University/University College 1593 68.2% 0.68222698
97 Not answered 44 1.9% 0.01884368


p7P4_2


Variable label: Highest level of completed education (expanded)
Technical attributes: [Question type: -] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-12]

Value Label Cases Percentage
1 No completed education 4 0.2% 0.001713062
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) 65 2.8% 0.027837259
3 Secondary education-general studies/programme for general studies, one-year supplementary study for university and college admission certification (VK2, VG3, High School) 136 5.8% 0.058244111
4 Secondary education-vocational line of study/education programme (VK2, VK3, VG3, apprenticeship examination, apprentices’ final exam ) 257 11% 0.110064240
5 Craft training (e.g. vocational school, technical school/college, maritime vocational school, officer candidate school, pilot training, secretary school, home industry school/handicrafts school, master craftsman certificate training) 236 10.1% 0.101070664
6 University/College, less than 3 years, but at least 2 years (university college graduate 2 and 2½ years) 261 11.2% 0.111777302
7 College-3-4 year education (Bachelor-, cand.mag., teacher training college, school of nursing, preschool teacher, engineer, business graduate, etc.) 468 20% 0.200428266
8 University-3-4 year education (Bachelor, cand.mag.) 191 8.2% 0.081798715
9 College-5-6 year education (Master, major) 248 10.6% 0.106209850
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 385 16.5% 0.164882227
11 Researcher level (Doctorate, Ph.d.) 40 1.7% 0.017130621
12 None of the above (please enter): 13 0.6% 0.005567452
97 Not answered 31 1.3% 0.013276231


p7P5_1


Variable label: Year of birth (expanded)
Technical attributes: [Question type: -] [Format:numeric] [Valid:2264] [Invalid:71] [Range:1-6]

Value Label Cases Percentage
1 1949 or earlier 191 8.4% 0.08436396
2 1950-1959 554 24.5% 0.24469965
3 1960-1969 688 30.4% 0.30388693
4 1970-1979 479 21.2% 0.21157244
5 1980-1989 241 10.6% 0.10644876
6 1990 or later 111 4.9% 0.04902827
97 Not answered 0 0% 0.00000000
Sysmiss 71 NA


p7P5_2


Variable label: Year of birth (condensed)
Technical attributes: [Question type: -] [Format:numeric] [Valid:2264] [Invalid:71] [Range:1-3]

Value Label Cases Percentage
1 1959 or earlier 745 32.9% 0.32906360
2 1960-1989 1408 62.2% 0.62190813
3 1990 or later 111 4.9% 0.04902827
Sysmiss 71 NA


p7P6


Variable label: Administrative level to which the representative is elected
Technical attributes: [Question type: -] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Municipality 2184 93.5% 0.935331906
2 County 86 3.7% 0.036830835
3 Parliament 60 2.6% 0.025695931
4 The Sami Parliament 5 0.2% 0.002141328


p7P7


Variable label: Party affiliation
Technical attributes: [Question type: -] [Format:numeric] [Valid:2335] [Invalid:0] [Range:1-10]

Value Label Cases Percentage
1 The Red Party 59 2.5% 0.025267666
2 The Socialist Left Party 149 6.4% 0.063811563
3 The Labour Party 637 27.3% 0.272805139
4 The Centre Party 457 19.6% 0.195717345
5 The Green Party 93 4% 0.039828694
6 The Christian Democrats 114 4.9% 0.048822270
7 The Liberal Party 82 3.5% 0.035117773
8 The Conservative Party 368 15.8% 0.157601713
9 The Progress Party 146 6.3% 0.062526767
10 Other 222 9.5% 0.095074946
97 Not answered 8 0.3% 0.003426124