Citation
Primary investigators
Name
|
Affiliation
|
Elisabeth Ivarsflaten
|
Coordinator, University of Bergen
|
Sveinung Arnesen, Endre Tvinnereim, Kristine Bærøe, Ivar Eimhjellen,
Erla Løvseth, Marta Eidheim.
|
Scientific team, University of Bergen and UNI Research Rokkan Centre
|
Producers
Name
|
Affiliation
|
Role
|
Asle Høgestøl
|
ideas2evidence
|
Coordinator
|
Øivind Skjervheim
|
ideas2evidence
|
Coordinator
|
Olav Bjørnebekk
|
ideas2evidence
|
Project team member
|
Jostein Ryssevik
|
ideas2evidence
|
Quality assurance
|
Study Description
Abstract
The Norwegian Citizen Panel is a platform for internet surveys of public
opinion in important areas of society and politics in Norway.
Participants are randomly recruited from the Norwegian population
register, and they are encouraged to participate over time. The panel
was fielded for the first time the fall of 2013 and as of 2017 the
survey is carried out three times a year. The University of Bergen owns
and is responsible for the Citizen panel. The company ideas2evidence
recruits respondents, produces the survey, and provides documentation of
the data. Data is stored and shared by the Norwegian Social Science Data
services (NSD). The Norwegian Citizen Panel welcomes research proposals
for survey content. More information about calls and other updates are
available at
www.medborger.uib.no
Scope
Geographic coverage: National geographic coverage.
Counties as geographic coding.
Unit of analysis:
Individuals
Univers: Norwegian Citizens above the
age of 18.
Methodology
Sampling procedure
Members of the Norwegian Citizen Panel have been recruited in three
waves, wave 1, wave 3 and wave 8. In wave 1, 4.870 panel members were
recruited (see documentation from wave 1). In wave 3, 5.623 members were
recruited (see documentation from wave 3). In wave 8, 4.245 new members
were recruited (see documentation from wave 8).
In wave 1 and 3 a gross sample of 25 000 individuals was randomly drawn
from the Norwegian National Population Registry. The sampling procedure
of wave 8 equals that of wave 1 and 3, but with a gross sample of 22 000
individuals.
This National Population Registry includes everyone born in Norway as
well as former and current inhabitants. The Norwegian Tax Administration
is responsible for the register, but the administration is partly
outsourced to the private IT-company Evry. Evry drew the sample on
behalf of the Citizen Panel after the necessary permissions were
acquired from the Norwegian Tax Administration.
Mode of Data Collection
The survey is based on a online questionnaire with postal recruitment.
For a more detailed description, please see the documentation report
from wave 8. The report is available here:
http://digsscore.uib.no/download-data-and-documentation
The invitation was emailed on the 11th of May 2017.
Three reminders were sent at the following dates: 15th of May, 18th of
May, and 22th of May. The reminder was sent to those who a) had not
entered the questionnaire, and b) had not completed the questionnaire.
Panel members with registered phone number received the last of these
reminders as a text message. Panel members without registered phone
number received the reminder as an email.
Wave 9 was closed 06th of June.
Weighting
To compensate for the observed bias, a set of weights has been
calculated. The weights equal the relation between a given strata in the
population and the total population, divided by the relation between a
given strata in the net sample and the total net sample. This procedure
returns values around 1, but above 0. Respondents who are
underrepresented will receive a weight above 1 and respondents who are
overrepresented a weight below 1. The weights of the different stratums
are listed in the documentation report (table 8 in the appendix). When
calculating the weights, the information regarding the respondent’s
geographical location, gender and age are based on registry data. These
attributes were included in the sample file we received from the
Norwegian Population Register. Information regarding the level of
education is provided by the respondents when answering the
questionnaire. Approximately 9 percent of the net sample did not answer
this question. Because of this, two different weights have been
calculated:
-
Weight 1 based on demographic variables (age, gender and geography)
-
Weight 2 combining the demographic variables with education. Respondents
with missing data on the education variable are only weighted on
demography (the education component of the weight is set to 1 in these
cases).
When applied, both weights will provide a weighted N equal to the number
of cases in the dataset.
We will strongly recommend using weight 2 in any statistical analysis,
as this weight provides the most accurate compensation for the various
sources of bias in the net sample.
Change Log
Version
|
Release date / Date changed
|
Variable
|
Changes and notes
|
v-102
|
2023-11-06
|
NA
|
Revised
release of round 9
|
NA
|
2023-11-02
|
r9Weight4
|
New
variable: Added r9Weight4
|
NA
|
2023-11-02
|
r9Weight4
|
Variable
documentation inserted
|
NA
|
2020-07-01
|
r9k26
|
Variable
documentation updated
|
v-101
|
2020-06-15
|
NA
|
Revised
release of round 9
|
NA
|
2020-06-11
|
r9k24_1_1
|
Data
redacted due to privacy concerns (263 non-missing obs).
|
NA
|
2019-08-12
|
r9tilfreds3
|
Updated value labels from 4 (“Dissatisfied”) and 5 (“Very dissatisfied”)
to 4 (“Not very satisfied”) and 5 (“Not satisfied at all”)
|
NA
|
2019-08-12
|
r9tilfreds4
|
Updated value labels from 4 (“Dissatisfied”) and 5 (“Very dissatisfied”)
to 4 (“Not very satisfied”) and 5 (“Not satisfied at all”)
|
NA
|
2019-01-19
|
r9k33_9_other_kodet
|
New variable based on r9k33_9_other.
|
NA
|
2019-01-18
|
r9k21_6_other_kodet
|
New variable based on r9k21_6_other.
|
NA
|
2019-01-17
|
r9k27_9_other_kodet
|
New variable based on r9k27_9_other.
|
NA
|
2019-01-08
|
r9helse1a
|
Added anonymized data. Available on request.
|
NA
|
2019-01-08
|
r9helse1b
|
Added anonymized data. Available on request.
|
NA
|
2018-04-13
|
r9p5_1
|
Changed from age intervals to birth year intervals.
|
NA
|
2018-04-13
|
r9p5_2
|
Changed from age intervals to birth year intervals.
|
NA
|
2018-02-21
|
r9p3
|
Updated the value of 1 respondent.
|
NA
|
2018-02-15
|
r9_weight_2
|
Corrected values of 2 respondents.
|
NA
|
2018-02-14
|
r9p4_1
|
Corrected values of 2 respondents.
|
NA
|
2018-02-14
|
r9p4_2
|
Corrected values of 2 respondents.
|
NA
|
2018-01-17
|
r9helse3_1
|
Added anonymized data. Available on request.
|
NA
|
2018-01-17
|
r9helse3_2
|
Added anonymized data. Available on request.
|
NA
|
2017-10-18
|
r9tvdeb2
|
Added anonymized data. Available on request.
|
v-100
|
2017-08-28
|
NA
|
Initial
release of round 9
|
NA
|
2017-08-24
|
r9medtrust1
|
Added anonymized data. Available on request.
|
NA
|
2017-06-21
|
eips2017i
|
Changed group description. [The Progress party/ The Liberal party/
Christian church / Muslim community / An anti-Islamic group / A neo-Nazi
group /A Muslim fundamentalist group]
|
Dataset contents
File name
|
Norwegian Citizen Panel - round 9 - v-102-O.sav
|
Distribution type
|
Public
|
# Cases
|
6897
|
# Variables
|
243
|
Variable Documentation
responseid
Variable label:
|
responseid
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
interview_start
Variable label:
|
[Date and time of when the respondent first opened the questionnaire.
Excel-format.]
|
Technical description:
|
[Date and time of when the respondentent first opened the questionnaire.
Excel-format.]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
interview_end
Variable label:
|
[Date and time of when the respondent completed the questionnaire.
Excel-format.]
|
Technical description:
|
[Date and time of when the respondentn completed the questionnaire.
Excel-format.]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
rekruttert
Variable label:
|
[The wave the respondent was recruited. ]
|
Technical description:
|
[The wave the respondent was recruited. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-8]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Wave 1 |
1954 |
28.3% |
0.2833116 |
3 |
Wave 3 |
2237 |
32.4% |
0.3243439 |
8 |
Wave 8 |
2706 |
39.2% |
0.3923445 |
browsertype
Variable label:
|
[Browertype used by respondent]
|
Technical description:
|
[Browertype used by respondent]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
browserversion
Variable label:
|
[Browser version used by respondent]
|
Technical description:
|
[Browser version used by respondent]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
mobil
Variable label:
|
[Determines if the respondents uses mobile ]
|
Technical description:
|
[Determines if the respondents uses mobile ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
Other |
4708 |
68.3% |
0.6826156 |
1 |
Mobile |
2189 |
31.7% |
0.3173844 |
opplosning
Variable label:
|
[Screen resolution of the applied device]
|
Technical description:
|
[Screen resolution of the applied device]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
enhetstype
Variable label:
|
[Determines respondents device type.]
|
Technical description:
|
[Determines respondents device type.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
PC |
4817 |
69.8% |
0.698419603 |
2 |
Touch |
2061 |
29.9% |
0.298825576 |
3 |
Generic |
19 |
0.3% |
0.002754821 |
advancedwifeaturesenabled
Variable label:
|
[Determine whether the respondent’s browser supports Advanced WI
Features that require client side scripts, such as sliders, drag-n-drop
ranking, images instead of radio-buttons/check-boxes etc.]
|
Technical description:
|
[Determine whether the respondent’s browser supports Advanced WI
Features that require client side scripts, such as sliders, drag-n-drop
ranking, images instead of radio-buttons/check-boxes etc.]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
x_ran
Variable label:
|
[Randomizes if rekruttert!=8.Divides respondents recruited prior to wave
8 into two thematically separate groups. Besides the core questions, the
respondents only answer questions connected to their assigned group. ]
|
Technical description:
|
[Randomizes if rekruttert!=8.Divides respondents recruited prior to wave
8 into two thematically separate groups. Besides the core questions, the
respondents only answer questions connected to their assigned group. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:4191] [Invalid:2706]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Part 2 - Respondents recruited in wave 1/3 |
2099 |
50.1% |
0.5008351 |
2 |
Part 3 - Respondents recruited in wave 1/3 |
2092 |
49.9% |
0.4991649 |
Sysmiss |
|
2706 |
|
NA |
r9k1
Variable label:
|
Interest in politics
|
Literal question:
|
In general, how interested are you in politics?
|
Technical description:
|
[All respondents asked.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very interested |
846 |
12.3% |
0.12266203 |
2 |
Interested |
3259 |
47.3% |
0.47252429 |
3 |
Somewhat interested |
2125 |
30.8% |
0.30810497 |
4 |
Not very interested |
567 |
8.2% |
0.08220966 |
5 |
Not interested at all |
83 |
1.2% |
0.01203422 |
97 |
No answer |
17 |
0.2% |
0.00246484 |
r9k8_1
Variable label:
|
Placement on scale, political standing
|
Pre-question text:
|
In politics people often talk about the “left wing” and the “right
wing”. Below is a scale where 0 represents those who are politically on
the far left, and 10 represents those who are politically on the far
right.
|
Literal question:
|
Where would you place yourself on such a scale?
|
Technical description:
|
[All respondents asked.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0]
[Range:1-11]
|
Value |
Label |
Cases |
Percentage |
|
1 |
0 Left |
124 |
1.8% |
0.01797883 |
2 |
1 |
301 |
4.4% |
0.04364216 |
3 |
2 |
514 |
7.5% |
0.07452516 |
4 |
3 |
1033 |
15.0% |
0.14977526 |
5 |
4 |
923 |
13.4% |
0.13382630 |
6 |
5 |
1105 |
16.0% |
0.16021459 |
7 |
6 |
756 |
11.0% |
0.10961288 |
8 |
7 |
920 |
13.3% |
0.13339133 |
9 |
8 |
679 |
9.8% |
0.09844860 |
10 |
9 |
218 |
3.2% |
0.03160795 |
11 |
10 Right |
141 |
2.0% |
0.02044367 |
97 |
No answer |
183 |
2.7% |
0.02653328 |
r9tilfreds3
Variable label:
|
Satisfied with: The government in Norway
|
Literal question:
|
How satisfied are you with the present government in Norway?
|
Technical description:
|
[All respondents asked.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very satisfied |
267 |
3.9% |
0.03871248 |
2 |
Satisfied |
2047 |
29.7% |
0.29679571 |
3 |
Somewhat satisfied |
2228 |
32.3% |
0.32303900 |
4 |
Not very satisfied |
1623 |
23.5% |
0.23531970 |
5 |
Not satisfied at all |
485 |
7.0% |
0.07032043 |
97 |
No answer |
247 |
3.6% |
0.03581267 |
r9tilfreds4
Variable label:
|
Satisfied with: How democracy works in Norway
|
Literal question:
|
How satisfied are you with the way in which democracy works in Norway?
|
Technical description:
|
[All respondents asked.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very satisfied |
990 |
14.4% |
0.14354067 |
2 |
Satisfied |
3442 |
49.9% |
0.49905756 |
3 |
Somewhat satisfied |
1326 |
19.2% |
0.19225750 |
4 |
Not very satisfied |
424 |
6.1% |
0.06147600 |
5 |
Not satisfied at all |
85 |
1.2% |
0.01232420 |
97 |
No answer |
630 |
9.1% |
0.09134406 |
r9k204
Variable label:
|
Would vote for following party at parliamentary election tomorrow
|
Literal question:
|
Which party would you vote for if there were a parliamentary election
tomorrow?
|
Technical description:
|
[All respondents asked.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0]
[Range:1-12]
|
Value |
Label |
Cases |
Percentage |
|
1 |
The Christian Democrats |
308 |
4.5% |
0.04465710 |
2 |
The Conservative Party |
1576 |
22.9% |
0.22850515 |
3 |
The Progress Party |
612 |
8.9% |
0.08873423 |
4 |
The Liberal Party |
264 |
3.8% |
0.03827751 |
5 |
The Socialist Left Party |
366 |
5.3% |
0.05306655 |
6 |
The Centre Party |
733 |
10.6% |
0.10627809 |
7 |
The Green Party |
299 |
4.3% |
0.04335218 |
8 |
The Labour Party |
1914 |
27.8% |
0.27751196 |
9 |
The Red Party |
206 |
3.0% |
0.02986806 |
10 |
Other: |
177 |
2.6% |
0.02566333 |
11 |
Would not vote |
223 |
3.2% |
0.03233290 |
12 |
Not entitled to vote |
167 |
2.4% |
0.02421343 |
97 |
No answer |
52 |
0.8% |
0.00753951 |
r9k204_10_other
Variable label:
|
Would vote for following party at parliamentary election tomorrow, other
[Data withheld for the sake of anonymity]
|
Literal question:
|
Which party would you vote for if there were a parliamentary election
tomorrow?
|
Technical description:
|
[All respondents asked.]
[Text data will not be distributed due to privacy considerations.
However, data can be made available for researchers after contacting The
Norwegian Citizen Panel at University of Bergen.]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
r9k9_1
Variable label:
|
[1] Most important political issues [Data withheld for the sake of
anonymity]
|
Literal question:
|
What are the most important political issues or areas for you
personally?
|
Post-question:
|
Please list the three most important issues where 1 is the most
important, 2 the second most important and 3 is the third most
important.
|
Technical description:
|
[All respondents asked.]
[Text data will not be distributed due to privacy considerations.
However, data can be made available for researchers after contacting The
Norwegian Citizen Panel at University of Bergen.]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
r9k9_2
Variable label:
|
[2] Most important political issues [Data withheld for the sake of
anonymity]
|
Literal question:
|
What are the most important political issues or areas for you
personally?
|
Post-question:
|
Please list the three most important issues where 1 is the most
important, 2 the second most important and 3 is the third most
important.
|
Technical description:
|
[All respondents asked.]
[Text data will not be distributed due to privacy considerations.
However, data can be made available for researchers after contacting The
Norwegian Citizen Panel at University of Bergen.]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
r9k9_3
Variable label:
|
[3] Most important political issues [Data withheld for the sake of
anonymity]
|
Literal question:
|
What are the most important political issues or areas for you
personally?
|
Post-question:
|
Please list the three most important issues where 1 is the most
important, 2 the second most important and 3 is the third most
important.
|
Technical description:
|
[All respondents asked.]
[Text data will not be distributed due to privacy considerations.
However, data can be made available for researchers after contacting The
Norwegian Citizen Panel at University of Bergen.]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
r9k6_1
Variable label:
|
Like/dislike: The Christian Democrats
|
Pre-question text:
|
We would like you to rate how much you like or dislike the various
Norwegian political parties.
|
Literal question:
|
The Christian Democratic Party
|
Technical description:
|
[All respondents asked.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Intensely dislike |
686 |
9.9% |
0.09946353 |
2 |
Really dislike |
1087 |
15.8% |
0.15760476 |
3 |
Dislike somewhat |
1712 |
24.8% |
0.24822387 |
4 |
Neither dislike nor like |
1563 |
22.7% |
0.22662027 |
5 |
Like somewhat |
1235 |
17.9% |
0.17906336 |
6 |
Really like |
377 |
5.5% |
0.05466145 |
7 |
Intensely like |
81 |
1.2% |
0.01174424 |
97 |
No answer |
156 |
2.3% |
0.02261853 |
r9k6_2
Variable label:
|
Like/dislike: The Conservative Party
|
Pre-question text:
|
We would like you to rate how much you like or dislike the various
Norwegian political parties.
|
Literal question:
|
The Conservative Party
|
Technical description:
|
[All respondents asked.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Intensely dislike |
244 |
3.5% |
0.03537770 |
2 |
Really dislike |
839 |
12.2% |
0.12164709 |
3 |
Dislike somewhat |
1340 |
19.4% |
0.19428737 |
4 |
Neither dislike nor like |
874 |
12.7% |
0.12672176 |
5 |
Like somewhat |
1613 |
23.4% |
0.23386980 |
6 |
Really like |
1502 |
21.8% |
0.21777584 |
7 |
Intensely like |
333 |
4.8% |
0.04828186 |
97 |
No answer |
152 |
2.2% |
0.02203857 |
r9k6_3
Variable label:
|
Like/dislike: The Progress Party
|
Pre-question text:
|
We would like you to rate how much you like or dislike the various
Norwegian political parties.
|
Literal question:
|
The Progress Party
|
Technical description:
|
[All respondents asked.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Intensely dislike |
1841 |
26.7% |
0.26692765 |
2 |
Really dislike |
1378 |
20.0% |
0.19979701 |
3 |
Dislike somewhat |
972 |
14.1% |
0.14093084 |
4 |
Neither dislike nor like |
639 |
9.3% |
0.09264898 |
5 |
Like somewhat |
1055 |
15.3% |
0.15296506 |
6 |
Really like |
650 |
9.4% |
0.09424387 |
7 |
Intensely like |
207 |
3.0% |
0.03001305 |
97 |
No answer |
155 |
2.2% |
0.02247354 |
r9k6_4
Variable label:
|
Like/dislike: The Liberal Party
|
Pre-question text:
|
We would like you to rate how much you like or dislike the various
Norwegian political parties.
|
Literal question:
|
The Liberal Party
|
Technical description:
|
[All respondents asked.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Intensely dislike |
766 |
11.1% |
0.111062781 |
2 |
Really dislike |
1044 |
15.1% |
0.151370161 |
3 |
Dislike somewhat |
1492 |
21.6% |
0.216325939 |
4 |
Neither dislike nor like |
1597 |
23.2% |
0.231549949 |
5 |
Like somewhat |
1379 |
20.0% |
0.199942004 |
6 |
Really like |
391 |
5.7% |
0.056691315 |
7 |
Intensely like |
59 |
0.9% |
0.008554444 |
97 |
No answer |
169 |
2.5% |
0.024503407 |
r9k6_5
Variable label:
|
Like/dislike: The Socialist Left Party
|
Pre-question text:
|
We would like you to rate how much you like or dislike the various
Norwegian political parties.
|
Literal question:
|
The Socialist Left Party
|
Technical description:
|
[All respondents asked.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Intensely dislike |
1057 |
15.3% |
0.15325504 |
2 |
Really dislike |
1187 |
17.2% |
0.17210381 |
3 |
Dislike somewhat |
1285 |
18.6% |
0.18631289 |
4 |
Neither dislike nor like |
1278 |
18.5% |
0.18529796 |
5 |
Like somewhat |
1198 |
17.4% |
0.17369871 |
6 |
Really like |
592 |
8.6% |
0.08583442 |
7 |
Intensely like |
135 |
2.0% |
0.01957373 |
97 |
No answer |
165 |
2.4% |
0.02392344 |
r9k6_6
Variable label:
|
Like/dislike: The Centre Party
|
Pre-question text:
|
We would like you to rate how much you like or dislike the various
Norwegian political parties.
|
Literal question:
|
The Centre Party
|
Technical description:
|
[All respondents asked.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Intensely dislike |
389 |
5.6% |
0.05640133 |
2 |
Really dislike |
717 |
10.4% |
0.10395824 |
3 |
Dislike somewhat |
1281 |
18.6% |
0.18573293 |
4 |
Neither dislike nor like |
1773 |
25.7% |
0.25706829 |
5 |
Like somewhat |
1638 |
23.7% |
0.23749456 |
6 |
Really like |
768 |
11.1% |
0.11135276 |
7 |
Intensely like |
168 |
2.4% |
0.02435842 |
97 |
No answer |
163 |
2.4% |
0.02363346 |
r9k6_7
Variable label:
|
Like/dislike: The Green Party
|
Pre-question text:
|
We would like you to rate how much you like or dislike the various
Norwegian political parties.
|
Literal question:
|
The Green Party
|
Technical description:
|
[All respondents asked.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Intensely dislike |
1414 |
20.5% |
0.20501667 |
2 |
Really dislike |
1111 |
16.1% |
0.16108453 |
3 |
Dislike somewhat |
1136 |
16.5% |
0.16470929 |
4 |
Neither dislike nor like |
1177 |
17.1% |
0.17065391 |
5 |
Like somewhat |
1247 |
18.1% |
0.18080325 |
6 |
Really like |
538 |
7.8% |
0.07800493 |
7 |
Intensely like |
115 |
1.7% |
0.01667392 |
97 |
No answer |
159 |
2.3% |
0.02305350 |
r9k6_8
Variable label:
|
Like/dislike: The Labour Party
|
Pre-question text:
|
We would like you to rate how much you like or dislike the various
Norwegian political parties.
|
Literal question:
|
The Labour Party
|
Technical description:
|
[All respondents asked.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Intensely dislike |
306 |
4.4% |
0.04436712 |
2 |
Really dislike |
548 |
7.9% |
0.07945484 |
3 |
Dislike somewhat |
1101 |
16.0% |
0.15963462 |
4 |
Neither dislike nor like |
952 |
13.8% |
0.13803103 |
5 |
Like somewhat |
1970 |
28.6% |
0.28563143 |
6 |
Really like |
1581 |
22.9% |
0.22923010 |
7 |
Intensely like |
294 |
4.3% |
0.04262723 |
97 |
No answer |
145 |
2.1% |
0.02102363 |
r9k6_9
Variable label:
|
Like/dislike: The Red Party
|
Pre-question text:
|
We would like you to rate how much you like or dislike the various
Norwegian political parties.
|
Literal question:
|
The Red Party
|
Technical description:
|
[All respondents asked.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Intensely dislike |
1592 |
23.1% |
0.23082500 |
2 |
Really dislike |
1228 |
17.8% |
0.17804843 |
3 |
Dislike somewhat |
1067 |
15.5% |
0.15470494 |
4 |
Neither dislike nor like |
1456 |
21.1% |
0.21110628 |
5 |
Like somewhat |
887 |
12.9% |
0.12860664 |
6 |
Really like |
376 |
5.5% |
0.05451646 |
7 |
Intensely like |
110 |
1.6% |
0.01594896 |
97 |
No answer |
181 |
2.6% |
0.02624329 |
r9k10
Variable label:
|
Perception of the economic situation in Norway
|
Literal question:
|
How do you perceive the current economic situation to be in Norway?
|
Post-question:
|
Do you think it is:
|
Technical description:
|
[All respondents asked.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very good |
1220 |
17.7% |
0.176888502 |
2 |
Good |
3773 |
54.7% |
0.547049442 |
3 |
Quite good |
1143 |
16.6% |
0.165724228 |
4 |
Neither good nor bad |
301 |
4.4% |
0.043642163 |
5 |
Quite bad |
240 |
3.5% |
0.034797738 |
6 |
Bad |
49 |
0.7% |
0.007104538 |
7 |
Very bad |
16 |
0.2% |
0.002319849 |
97 |
No answer |
155 |
2.2% |
0.022473539 |
r9sentral
Variable label:
|
Agree/disagree: Government authorities show little consideration for
rural Norway.
|
Pre-question text:
|
To what extent do you agree or disagree with the following assertion?
|
Literal question:
|
Government authorities show little consideration for non-urban/rural
Norway.
|
Technical description:
|
[All respondents asked.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
975 |
14.1% |
0.14136581 |
2 |
Agree |
1649 |
23.9% |
0.23908946 |
3 |
Agree somewhat |
1732 |
25.1% |
0.25112368 |
4 |
Neither agree nor disagree |
961 |
13.9% |
0.13933594 |
5 |
Disagree somewhat |
496 |
7.2% |
0.07191533 |
6 |
Disagree |
418 |
6.1% |
0.06060606 |
7 |
Strongly disagree |
133 |
1.9% |
0.01928375 |
97 |
No answer |
533 |
7.7% |
0.07727998 |
r9k29
Variable label:
|
Agree/disagree: Begging should be prohibited in Norway.
|
Pre-question text:
|
Please look at the statement below.
|
Literal question:
|
Begging should be prohibited in Norway.
|
Technical description:
|
[All respondents asked.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
1591 |
23.1% |
0.23068001 |
2 |
Agree |
1480 |
21.5% |
0.21458605 |
3 |
Agree somewhat |
1284 |
18.6% |
0.18616790 |
4 |
Neither agree nor disagree |
739 |
10.7% |
0.10714804 |
5 |
Disagree somewhat |
563 |
8.2% |
0.08162969 |
6 |
Disagree |
699 |
10.1% |
0.10134841 |
7 |
Strongly disagree |
313 |
4.5% |
0.04538205 |
97 |
No answer |
228 |
3.3% |
0.03305785 |
r9komref
Variable label:
|
Support/oppose municipal reform
|
Pre-question text:
|
As you are perhaps aware, the Government has suggested consolidating a
number of municipalities in Norway.
|
Literal question:
|
How much do you support or oppose this municipal reform?
|
Technical description:
|
[Asked if x_ran!=2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Support a lot |
559 |
11.7% |
0.11743697 |
2 |
Support |
932 |
19.6% |
0.19579832 |
3 |
Support somewhat |
1103 |
23.2% |
0.23172269 |
4 |
Neither support nor oppose |
717 |
15.1% |
0.15063025 |
5 |
Oppose somewhat |
657 |
13.8% |
0.13802521 |
6 |
Oppose |
429 |
9.0% |
0.09012605 |
7 |
Strongly oppose |
310 |
6.5% |
0.06512605 |
97 |
No answer |
53 |
1.1% |
0.01113445 |
98 |
Not asked |
2137 |
|
NA |
r9intpol
Variable label:
|
Interest in news pertaining to politics
|
Literal question:
|
How interested are you in news pertaining to politics?
|
Technical description:
|
[All respondents asked.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very interested |
1159 |
16.8% |
0.168044077 |
2 |
Interested |
3428 |
49.7% |
0.497027693 |
3 |
Somewhat interested |
1783 |
25.9% |
0.258518196 |
4 |
Not very interested |
430 |
6.2% |
0.062345948 |
5 |
Not interested at all |
71 |
1.0% |
0.010294331 |
97 |
No answer |
26 |
0.4% |
0.003769755 |
r9intliv
Variable label:
|
Interest in news pertaining to sports/lifestyle/entertainment
|
Literal question:
|
How interested are you in news pertaining to
sports/lifestyle/entertainment?
|
Technical description:
|
[All respondents asked.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very interested |
545 |
7.9% |
0.07901986 |
2 |
Interested |
2507 |
36.3% |
0.36349137 |
3 |
Somewhat interested |
2142 |
31.1% |
0.31056981 |
4 |
Not very interested |
1123 |
16.3% |
0.16282442 |
5 |
Not interested at all |
243 |
3.5% |
0.03523271 |
97 |
No answer |
337 |
4.9% |
0.04886182 |
r9knyhetred
Variable label:
|
How important are the established media as source of news
|
Literal question:
|
How important are the established media (such as TV, newspapers, radio
and Internet newspapers) for you as sources of news?
|
Technical description:
|
[All respondents asked.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very important |
3128 |
45.4% |
0.453530521 |
2 |
Important |
2932 |
42.5% |
0.425112368 |
3 |
Somewhat important |
577 |
8.4% |
0.083659562 |
4 |
Slightly important |
148 |
2.1% |
0.021458605 |
5 |
Not important at all |
37 |
0.5% |
0.005364651 |
97 |
No answer |
75 |
1.1% |
0.010874293 |
r9knyhetliv
Variable label:
|
How important are social media as source of news
|
Literal question:
|
How important are social media (such as Facebook, Twitter and Snapchat)
for you as sources of news?
|
Technical description:
|
[All respondents asked.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very important |
361 |
5.2% |
0.05234160 |
2 |
Important |
1035 |
15.0% |
0.15006525 |
3 |
Somewhat important |
1584 |
23.0% |
0.22966507 |
4 |
Slightly important |
2097 |
30.4% |
0.30404524 |
5 |
Not important at all |
1606 |
23.3% |
0.23285486 |
97 |
No answer |
214 |
3.1% |
0.03102798 |
eips2017a_ran
Variable label:
|
[Randomizes if rekruttert=8. Selects random political unit [Norway / EU]
for question eips2017a.]
|
Technical description:
|
[Randomizes if rekruttert=8. Selects random political unit [Norway / EU]
for question eips2017a.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2706] [Invalid:4191]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Norway |
1347 |
49.8% |
0.4977827 |
2 |
EU |
1359 |
50.2% |
0.5022173 |
Sysmiss |
|
4191 |
|
NA |
eips2017a
Variable label:
|
How democratic do you think [Norway/EU] is overall?
|
Literal question:
|
How democratic do you think [Norway/EU] is overall?
|
Post-question:
|
Please choose your answer below where 0 is not at all democratic and 10
is completely democratic.
|
Technical description:
|
[Asked if rekruttert=8.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0]
[Range:1-11]
|
Value |
Label |
Cases |
Percentage |
|
1 |
0 - Not democratic at all |
71 |
2.6% |
0.02623799 |
2 |
1 |
71 |
2.6% |
0.02623799 |
3 |
2 |
148 |
5.5% |
0.05469327 |
4 |
3 |
211 |
7.8% |
0.07797487 |
5 |
4 |
192 |
7.1% |
0.07095344 |
6 |
5 |
378 |
14.0% |
0.13968958 |
7 |
6 |
265 |
9.8% |
0.09793052 |
8 |
7 |
442 |
16.3% |
0.16334072 |
9 |
8 |
479 |
17.7% |
0.17701404 |
10 |
9 |
298 |
11.0% |
0.11012565 |
11 |
10 - Completely democratic |
115 |
4.2% |
0.04249815 |
97 |
No answer |
36 |
1.3% |
0.01330377 |
98 |
Not asked |
4191 |
|
NA |
eips2017b
Variable label:
|
Justification to how democratic you think [Norway/EU] is overall [Data
withheld for the sake of anonymity]
|
Pre-question text:
|
How democratic do you think [Norway/EU] is overall? Please choose your
alternative below where 0 is not at all democratic and 10 is completely
democratic. Your answer: [print out of eips2017a, 0-10]
|
Literal question:
|
Could you justify your answer to the previous question?
|
Post-question:
|
Your response will be studied carefully, so please take the time to fill
in your views:
|
Technical description:
|
[Asked if rekruttert=8 and eips2017a is answered.]
[Text data will not be distributed due to privacy considerations.
However, data can be made available for researchers after contacting The
Norwegian Citizen Panel at University of Bergen.]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
eips2017c_ran
Variable label:
|
[Randomizes if rekruttert=8. Selects random geographic distance [blank /
for you personally / for Norway / for Europe / for the world] for the
question eips2017c_1.]
|
Technical description:
|
[Randomizes if rekruttert=8. Selects random geographic distance [blank /
for you personally / for Norway / for Europe / for the world] for the
question eips2017a.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2688] [Invalid:4209]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
[blank] |
534 |
19.9% |
0.1986607 |
2 |
for you personally |
547 |
20.3% |
0.2034970 |
3 |
for Norway |
544 |
20.2% |
0.2023810 |
4 |
for Europe |
530 |
19.7% |
0.1971726 |
5 |
for the world |
533 |
19.8% |
0.1982887 |
Sysmiss |
|
4209 |
|
NA |
eips2017c_1
Variable label:
|
To what extent do you see climate change as a threat [blank / for you
personally / for Norway / for Europe / for the world]?
|
Literal question:
|
To what extent do you see climate change as a threat [blank / for you
personally / for Norway / for Europe / for the world]?
|
Technical description:
|
[Asked if rekruttert=8.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0]
[Range:1-11]
|
Value |
Label |
Cases |
Percentage |
|
1 |
0 No threat at all |
103 |
3.8% |
0.03806356 |
2 |
1 |
61 |
2.3% |
0.02254250 |
3 |
2 |
139 |
5.1% |
0.05136733 |
4 |
3 |
191 |
7.1% |
0.07058389 |
5 |
4 |
180 |
6.7% |
0.06651885 |
6 |
5 |
343 |
12.7% |
0.12675536 |
7 |
6 |
353 |
13.0% |
0.13045085 |
8 |
7 |
532 |
19.7% |
0.19660015 |
9 |
8 |
412 |
15.2% |
0.15225425 |
10 |
9 |
191 |
7.1% |
0.07058389 |
11 |
10 Extreme threat |
169 |
6.2% |
0.06245381 |
97 |
No answer |
32 |
1.2% |
0.01182557 |
98 |
Not asked |
4191 |
|
NA |
eips2017d
Variable label:
|
Do you oppose/support Norwegian membership in the EU?
|
Literal question:
|
Now thinking about the European Union, how much do you oppose or support
Norwegian membership in the EU?
|
Post-question:
|
Please choose your answer below where 0 is completely oppose and 10 is
completely support.
|
Technical description:
|
[Asked if rekruttert=8.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0]
[Range:1-11]
|
Value |
Label |
Cases |
Percentage |
|
1 |
0 I completely oppose Norwegian EU membership |
747 |
27.6% |
0.27605322 |
2 |
1 |
189 |
7.0% |
0.06984479 |
3 |
2 |
282 |
10.4% |
0.10421286 |
4 |
3 |
272 |
10.1% |
0.10051737 |
5 |
4 |
168 |
6.2% |
0.06208426 |
6 |
5 |
363 |
13.4% |
0.13414634 |
7 |
6 |
141 |
5.2% |
0.05210643 |
8 |
7 |
146 |
5.4% |
0.05395418 |
9 |
8 |
163 |
6.0% |
0.06023651 |
10 |
9 |
54 |
2.0% |
0.01995565 |
11 |
10 I completely support Norwegian EU membership |
135 |
5.0% |
0.04988914 |
97 |
Ikke svart |
46 |
1.7% |
0.01699926 |
98 |
Ikke spurt |
4191 |
|
NA |
eips2017e_turnout
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses election turnout. ]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses election turnout. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2682] [Invalid:4215]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
[Blank] |
532 |
19.8% |
0.1983594 |
2 |
35% of the citizens participated |
532 |
19.8% |
0.1983594 |
3 |
47% of the citizens participated |
570 |
21.3% |
0.2125280 |
4 |
53% of the citizens participated |
567 |
21.1% |
0.2114094 |
5 |
85% of the citizens participated |
481 |
17.9% |
0.1793438 |
Sysmiss |
|
4215 |
|
NA |
eips2017e_majoritysize
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses majority size. ]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses majority size. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2682] [Invalid:4215]
[Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
[Blank] |
658 |
24.5% |
0.2453393 |
2 |
The winning side received 51% of the votes |
656 |
24.5% |
0.2445936 |
3 |
The winning side received 55% of the votes |
707 |
26.4% |
0.2636092 |
4 |
The winning side received 70% of the votes |
661 |
24.6% |
0.2464579 |
Sysmiss |
|
4215 |
|
NA |
eips2017e_winner
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses winner. ]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses winner. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2682] [Invalid:4215]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
[Blank] |
881 |
32.8% |
0.3284862 |
2 |
The pro-EU side won the majority |
918 |
34.2% |
0.3422819 |
3 |
The anti-EU side won the majority |
883 |
32.9% |
0.3292319 |
Sysmiss |
|
4215 |
|
NA |
eips2017e_dv
Variable label:
|
Should the government follow outcome of referendum even though the
majority of the national parliament disagreed?
|
Pre-question text:
|
We are interested in how people see the role of referendums in
political decisions. Imagine a debate surfaced concerning the membership
of Norway in the EU, and that an advisory referendum was held on the
issue.
[Printout of the value of eips2017e_turnout, eips2017e_majoritysize,
eips2017e_winner]
|
Literal question:
|
What is right in such a situation, should the government follow the
outcome of the referendum even though the majority of the national
parliament disagreed with the referendum outcome?
|
Technical description:
|
[Asked if rekruttert=8. Conjoint experiment. Respondent is exposed to an
vignette which vary along three dimensions (see background variables). ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
No, the government should not follow the outcome of the referendum |
627 |
23.2% |
0.23170732 |
1 |
Yes, the government should follow the outcome of the referendum |
1968 |
72.7% |
0.72727273 |
97 |
No answer |
111 |
4.1% |
0.04101996 |
98 |
Not asked |
4191 |
|
NA |
eips2017f_entity
Variable label:
|
[Asked if rekruttert=8. Selects random political unit [Norway / EU] for
question eips2017f_dv.]
|
Technical description:
|
[Asked if rekruttert=8. Selects random political unit [Norway / EU] for
question eips2017f_dv.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2676] [Invalid:4221]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Norway |
1329 |
49.7% |
0.4966368 |
2 |
EU |
1347 |
50.3% |
0.5033632 |
Sysmiss |
|
4221 |
|
NA |
eips2017f_dv
Variable label:
|
How much does the political system in [Norway / EU] allow people like
you to have an influence on politics?
|
Literal question:
|
How much would you say that the political system in [Norway / EU] allows
people like you to have an influence on politics?
|
Technical description:
|
[Asked if rekruttert=8.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0]
[Range:1-11]
|
Value |
Label |
Cases |
Percentage |
|
1 |
0 Not at all |
450 |
16.6% |
0.166297118 |
2 |
1 |
221 |
8.2% |
0.081670362 |
3 |
2 |
294 |
10.9% |
0.108647450 |
4 |
3 |
373 |
13.8% |
0.137841833 |
5 |
4 |
260 |
9.6% |
0.096082779 |
6 |
5 |
404 |
14.9% |
0.149297857 |
7 |
6 |
239 |
8.8% |
0.088322247 |
8 |
7 |
245 |
9.1% |
0.090539542 |
9 |
8 |
102 |
3.8% |
0.037694013 |
10 |
9 |
28 |
1.0% |
0.010347376 |
11 |
10 Completely |
25 |
0.9% |
0.009238729 |
97 |
No answer |
65 |
2.4% |
0.024020695 |
98 |
Not asked |
4191 |
|
NA |
eips2017g_ran
Variable label:
|
[Randomizes if rekruttert=8. Conjoint Experiment. Randomly selects
either eips2017g_1 or eips2017g_2.]
|
Technical description:
|
[Randomizes if rekruttert=8. Conjoint Experiment. Randomly selects
either eips2017g_1 or eips2017g_2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2671] [Invalid:4226]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Choose eips2017g_1 |
1353 |
50.7% |
0.5065519 |
2 |
Choose eips2017g_2 |
1318 |
49.3% |
0.4934481 |
Sysmiss |
|
4226 |
|
NA |
eips2017g_1_gender
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses gender for candidate 1.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses gender for candidate 1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2671] [Invalid:4226]
[Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
Male |
1316 |
49.3% |
0.4926994 |
1 |
Female |
1355 |
50.7% |
0.5073006 |
Sysmiss |
|
4226 |
|
NA |
eips2017g_2_gender
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses gender for candidate 2.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses gender for candidate 2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2671] [Invalid:4226]
[Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
Male |
1370 |
51.3% |
0.5129165 |
1 |
Female |
1301 |
48.7% |
0.4870835 |
Sysmiss |
|
4226 |
|
NA |
eips2017g_1_age
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses age for candidate 1.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses age for candidate 1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2671] [Invalid:4226]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
28 |
943 |
35.3% |
0.3530513 |
2 |
45 |
826 |
30.9% |
0.3092475 |
3 |
71 |
902 |
33.8% |
0.3377012 |
Sysmiss |
|
4226 |
|
NA |
eips2017g_2_age
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses age for candidate 2.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses age for candidate 2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2671] [Invalid:4226]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
28 |
883 |
33.1% |
0.3305878 |
2 |
45 |
906 |
33.9% |
0.3391988 |
3 |
71 |
882 |
33.0% |
0.3302134 |
Sysmiss |
|
4226 |
|
NA |
eips2017g_1_edu
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses completed level of education for candidate 1.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses completed level of education for candidate 1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2671] [Invalid:4226]
[Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
High school |
1318 |
49.3% |
0.4934481 |
1 |
University level |
1353 |
50.7% |
0.5065519 |
Sysmiss |
|
4226 |
|
NA |
eips2017g_2_edu
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses completed level of education for candidate 2.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses completed level of education for candidate 2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2671] [Invalid:4226]
[Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
High school |
1298 |
48.6% |
0.4859603 |
1 |
University level |
1373 |
51.4% |
0.5140397 |
Sysmiss |
|
4226 |
|
NA |
eips2017g_1_religion
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses religious background for candidate 1.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses religious background for candidate 1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2671] [Invalid:4226]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
No religion |
508 |
19.0% |
0.1901909 |
2 |
Christian |
531 |
19.9% |
0.1988019 |
3 |
Non-practicing Christian |
531 |
19.9% |
0.1988019 |
4 |
Muslim |
524 |
19.6% |
0.1961812 |
5 |
Non-practicing Muslim |
577 |
21.6% |
0.2160240 |
Sysmiss |
|
4226 |
|
NA |
eips2017g_2_religion
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses religious background for candidate 2.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses religious background for candidate 2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2671] [Invalid:4226]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
No religion |
525 |
19.7% |
0.1965556 |
2 |
Christian |
545 |
20.4% |
0.2040434 |
3 |
Non-practicing Christian |
525 |
19.7% |
0.1965556 |
4 |
Muslim |
538 |
20.1% |
0.2014227 |
5 |
Non-practicing Muslim |
538 |
20.1% |
0.2014227 |
Sysmiss |
|
4226 |
|
NA |
eips2017g_1_class
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses familiy background for candidate 1.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses familiy background for candidate 1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2671] [Invalid:4226]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Working class |
890 |
33.3% |
0.3332085 |
2 |
Middle class |
907 |
34.0% |
0.3395732 |
3 |
Upper class |
874 |
32.7% |
0.3272183 |
Sysmiss |
|
4226 |
|
NA |
eips2017g_2_class
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses family background for candidate 2.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses family background for candidate 2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2671] [Invalid:4226]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Working class |
912 |
34.1% |
0.3414452 |
2 |
Middle class |
841 |
31.5% |
0.3148633 |
3 |
Upper class |
918 |
34.4% |
0.3436915 |
Sysmiss |
|
4226 |
|
NA |
eips2017g_1
Variable label:
|
Political candidate that will agree most with your own political views
|
Pre-question text:
|
Below we describe two hypothetical political candidates. Please read
the descriptions of each person carefully.
[Printout of the value of eips2017g_1_gender, eips2017g_2_gender,
eips2017g_1_age, eips2017g_2_age, eips2017g_1_edu, eips2017g_2_edu,
eips2017g_1_religion, eips2017g_2_religion, eips2017g_1_class,
eips2017g_2_class]
|
Literal question:
|
Based on your own judgment, please indicate which political candidate
you think will agree most with your own political views.
|
Technical description:
|
[Asked if rekruttert=8 and eips2017g_ran=1. Conjoint experiment. The
respondents are exposed to two political candidates. The characteristics
of the candidates is chosen at random. See background variables. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Candidate 1 |
648 |
47.9% |
0.4789357 |
2 |
Candidate 2 |
647 |
47.8% |
0.4781966 |
97 |
No answer |
58 |
4.3% |
0.0428677 |
98 |
Not asked |
5544 |
|
NA |
eips2017g_2
Variable label:
|
Relying on given information, which candidate would you prefer as
political representative at the national level?
|
Pre-question text:
|
Below we describe two hypothetical political candidates. Please read
the descriptions of each person carefully.
[Printout of the value of eips2017g_1_gender, eips2017g_2_gender,
eips2017g_1_age, eips2017g_2_age, eips2017g_1_edu, eips2017g_2_edu,
eips2017g_1_religion, eips2017g_2_religion, eips2017g_1_class,
eips2017g_2_class]
|
Literal question:
|
Relying solely on this information, which political candidate would you
prefer as your political representative at the national level?
|
Technical description:
|
[Asked if rekruttert=8 and eips2017g_ran=2. Conjoint experiment. The
respondents are exposed to two political candidates. The characteristics
of the candidates is chosen at random. See background variables. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Candidate 1 |
641 |
48.6% |
0.48634294 |
2 |
Candidate 2 |
611 |
46.4% |
0.46358118 |
97 |
No answer |
66 |
5.0% |
0.05007587 |
98 |
Not asked |
5579 |
|
NA |
eips2017h_ran
Variable label:
|
[Randomizes if rekruttert=8. Randomly selects either eips2017h_1 or
eips2017h_2.]
|
Technical description:
|
[Randomizes if rekruttert=8. Randomly selects either eips2017h_1 or
eips2017h_2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2669] [Invalid:4228]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Choose eips2017h_1. |
1300 |
48.7% |
0.4870738 |
2 |
Choose eips2017h_2. |
1369 |
51.3% |
0.5129262 |
Sysmiss |
|
4228 |
|
NA |
eips2017h_1_gender
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses gender for candidate 1.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses gender for candidate 1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2669] [Invalid:4228]
[Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
Male |
1347 |
50.5% |
0.5046834 |
1 |
Female |
1322 |
49.5% |
0.4953166 |
Sysmiss |
|
4228 |
|
NA |
eips2017h_2_gender
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses gender for candidate 2.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses gender for candidate 2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2669] [Invalid:4228]
[Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
Male |
1393 |
52.2% |
0.5219183 |
1 |
Female |
1276 |
47.8% |
0.4780817 |
Sysmiss |
|
4228 |
|
NA |
eips2017h_1_edu
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses completed level of education for candidate 1.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses completed level of education for candidate 1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2669] [Invalid:4228]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
High school |
1280 |
48.0% |
0.4795804 |
2 |
University level |
1389 |
52.0% |
0.5204196 |
Sysmiss |
|
4228 |
|
NA |
eips2017h_2_edu
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses completed level of education for candidate 2.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses completed level of education for candidate 2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2669] [Invalid:4228]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
High school |
1378 |
51.6% |
0.5162982 |
2 |
University level |
1291 |
48.4% |
0.4837018 |
Sysmiss |
|
4228 |
|
NA |
eips2017h_1_age
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses age for candidate 1.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses age for candidate 1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2669] [Invalid:4228]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
30's |
1305 |
48.9% |
0.4889472 |
2 |
50's |
1364 |
51.1% |
0.5110528 |
Sysmiss |
|
4228 |
|
NA |
eips2017h_2_age
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses age for candidate 2.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses age for candidate 2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2669] [Invalid:4228]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
30's |
1350 |
50.6% |
0.5058074 |
2 |
50's |
1319 |
49.4% |
0.4941926 |
Sysmiss |
|
4228 |
|
NA |
eips2017h_1_class
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses familiy background for candidate 1.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses familiy background for candidate 1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2669] [Invalid:4228]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Working class |
888 |
33.3% |
0.3327089 |
2 |
Middle class |
882 |
33.0% |
0.3304608 |
3 |
Upper class |
899 |
33.7% |
0.3368303 |
Sysmiss |
|
4228 |
|
NA |
eips2017h_2_class
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses family background for candidate 2.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses family background for candidate 2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2669] [Invalid:4228]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Working class |
900 |
33.7% |
0.3372049 |
2 |
Middle class |
918 |
34.4% |
0.3439490 |
3 |
Upper class |
851 |
31.9% |
0.3188460 |
Sysmiss |
|
4228 |
|
NA |
eips2017h_1_occupation
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses occupation for candidate 1.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses occupation for candidate 1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2669] [Invalid:4228]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Politician |
558 |
20.9% |
0.2090671 |
2 |
Business leader |
526 |
19.7% |
0.1970776 |
3 |
TV Celebrity |
571 |
21.4% |
0.2139378 |
4 |
Industry worker |
506 |
19.0% |
0.1895841 |
5 |
Farmer |
508 |
19.0% |
0.1903335 |
Sysmiss |
|
4228 |
|
NA |
eips2017h_2_occupation
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses occupation for candidate 2.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses occupation for candidate 2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2669] [Invalid:4228]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Politician |
554 |
20.8% |
0.2075684 |
2 |
Business leader |
504 |
18.9% |
0.1888348 |
3 |
TV Celebrity |
522 |
19.6% |
0.1955789 |
4 |
Industry worker |
530 |
19.9% |
0.1985762 |
5 |
Farmer |
559 |
20.9% |
0.2094417 |
Sysmiss |
|
4228 |
|
NA |
eips2017h_1_polex
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses the political experience for candidate 1.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses the political experience for candidate 1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2669] [Invalid:4228]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
None |
942 |
35.3% |
0.3529412 |
2 |
Limited |
883 |
33.1% |
0.3308355 |
3 |
Extensive |
844 |
31.6% |
0.3162233 |
Sysmiss |
|
4228 |
|
NA |
eips2017h_2_polex
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses the political experience for candidate 2.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses the political experience for candidate 2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2669] [Invalid:4228]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
None |
875 |
32.8% |
0.3278381 |
2 |
Limited |
897 |
33.6% |
0.3360809 |
3 |
Extensive |
897 |
33.6% |
0.3360809 |
Sysmiss |
|
4228 |
|
NA |
eips2017h_1_workplace
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses workplace for candidate 1.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses workplace for candidate 1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2669] [Invalid:4228]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Brussel |
862 |
32.3% |
0.3229674 |
2 |
Oslo |
882 |
33.0% |
0.3304608 |
3 |
In your home region |
925 |
34.7% |
0.3465717 |
Sysmiss |
|
4228 |
|
NA |
eips2017h_2_workplace
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses workplace for candidate 2.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses workplace for candidate 2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2669] [Invalid:4228]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Brussel |
930 |
34.8% |
0.3484451 |
2 |
Oslo |
890 |
33.3% |
0.3334582 |
3 |
In your home region |
849 |
31.8% |
0.3180967 |
Sysmiss |
|
4228 |
|
NA |
eips2017h_1_media
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses a news story for candidate 1.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses a news story for candidate 1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2669] [Invalid:4228]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Endorsed candidate |
909 |
34.1% |
0.3405770 |
2 |
Critized candidate |
878 |
32.9% |
0.3289622 |
3 |
Ridiculed candidate |
882 |
33.0% |
0.3304608 |
Sysmiss |
|
4228 |
|
NA |
eips2017h_2_media
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses a news story for candidate 2.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses a news story for candidate 2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2669] [Invalid:4228]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Endorsed candidate |
891 |
33.4% |
0.3338329 |
2 |
Critized candidate |
903 |
33.8% |
0.3383290 |
3 |
Ridiculed candidate |
875 |
32.8% |
0.3278381 |
Sysmiss |
|
4228 |
|
NA |
eips2017h_1_ideology
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses the political ideology for candidate 1.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses the political ideology for candidate 1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2669] [Invalid:4228]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
On the left |
1335 |
50.0% |
0.5001873 |
2 |
On the right |
1334 |
50.0% |
0.4998127 |
Sysmiss |
|
4228 |
|
NA |
eips2017h_2_ideology
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses the political ideology for candidate 2.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses the political ideology for candidate 2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2669] [Invalid:4228]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
On the left |
1341 |
50.2% |
0.5024354 |
2 |
On the right |
1328 |
49.8% |
0.4975646 |
Sysmiss |
|
4228 |
|
NA |
eips2017h_1_immigration
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses candidate 1’s attitude towards immigration.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses candidate 1’s attitude towards immigration.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2669] [Invalid:4228]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Bad for the country |
1331 |
49.9% |
0.4986886 |
2 |
Good for the country |
1338 |
50.1% |
0.5013114 |
Sysmiss |
|
4228 |
|
NA |
eips2017h_2_immigration
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses candidate 2’s attitude towards immigration.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses candidate 2’s attitude towards immigration.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2669] [Invalid:4228]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Bad for the country |
1320 |
49.5% |
0.4945673 |
2 |
Good for the country |
1349 |
50.5% |
0.5054327 |
Sysmiss |
|
4228 |
|
NA |
eips2017h_1_eumembership
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses candidate 1’s attitude towards membership in EU.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses candidate 1’s attitude towards membership in EU.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2669] [Invalid:4228]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
In favor of referendum on EU membership |
1346 |
50.4% |
0.5043087 |
2 |
Against referendum on EU membership |
1323 |
49.6% |
0.4956913 |
Sysmiss |
|
4228 |
|
NA |
eips2017h_2_eumembership
Variable label:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses candidate 2’s attitude towards membership in EU.]
|
Technical description:
|
[Asked if rekruttert=8. Background variable for conjoint experiment.
Randomly chooses candidate 2’s attitude towards membership in EU.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2669] [Invalid:4228]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
In favor of referendum on EU membership |
1332 |
49.9% |
0.4990633 |
2 |
Against referendum on EU membership |
1337 |
50.1% |
0.5009367 |
Sysmiss |
|
4228 |
|
NA |
eips2017h_1a
Variable label:
|
Description of two candidates: Who would you choose, national elections
tomorrow
|
Pre-question text:
|
Below we describe two hypothetical political candidates. Please read
the descriptions of each person carefully.
[Printout of the value of eips2017h_1_gender, eips2017h_2_gender,
eips2017h_1_edu, eips2017h_2_edu, eips2017h_1_age, eips2017h_2_age,
eips2017h_1_class, eips2017h_2_class, eips2017h_1_occupation,
eips2017h_2_occupation, eips2017h_1_polex, eips2017h_2_polex,
eips2017h_1_workplace, eips2017h_2_workplace, eips2017h_1_media,
eips2017h_2_media, eips2017h_1_ideology, eips2017h_2_ideology,
eips2017h_1_immigration, eips2017h_2_immigration,
eips2017h_1_eumembership, eips2017h_2_eumembership]
|
Literal question:
|
If there were national elections tomorrow and you had to vote for one of
these two candidates, which candidate would you choose?
|
Technical description:
|
[Asked if rekruttert=8 and eips2017h_ran=1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Candidate 1 |
633 |
48.7% |
0.48692308 |
2 |
Candidate 2 |
616 |
47.4% |
0.47384615 |
97 |
No answer |
51 |
3.9% |
0.03923077 |
98 |
Not asked |
5597 |
|
NA |
eips2017h_1b
Variable label:
|
Candidate who is most likely to represent the concerns of ordinary
people in your country
|
Literal question:
|
Which candidate is in your view most likely to represent the concerns of
ordinary people in your country?
|
Technical description:
|
[Asked if rekruttert=8 and eips2017h_ran=1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Candidate 1 |
617 |
47.5% |
0.47461538 |
2 |
Candidate 2 |
611 |
47.0% |
0.47000000 |
97 |
No answer |
72 |
5.5% |
0.05538462 |
98 |
Not asked |
5597 |
|
NA |
eips2017h_2a
Variable label:
|
Description of two candidates: Candidate who is most likely to represent
the concerns of ordinary people in your country
|
Pre-question text:
|
Below we describe two hypothetical political candidates. Please read
the descriptions of each person carefully.
[Printout of the value of eips2017h_1_gender, eips2017h_2_gender,
eips2017h_1_edu, eips2017h_2_edu, eips2017h_1_age, eips2017h_2_age,
eips2017h_1_class, eips2017h_2_class, eips2017h_1_occupation,
eips2017h_2_occupation, eips2017h_1_polex, eips2017h_2_polex,
eips2017h_1_workplace, eips2017h_2_workplace, eips2017h_1_media,
eips2017h_2_media, eips2017h_1_ideology, eips2017h_2_ideology,
eips2017h_1_immigration, eips2017h_2_immigration,
eips2017h_1_eumembership, eips2017h_2_eumembership]
|
Literal question:
|
Which candidate is in your view most likely to represent the concerns of
ordinary people in your country?
|
Technical description:
|
[Asked if rekruttert=8 and eips2017h_ran=2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Candidate 1 |
663 |
48.4% |
0.48429511 |
2 |
Candidate 2 |
640 |
46.7% |
0.46749452 |
97 |
No answer |
66 |
4.8% |
0.04821037 |
98 |
Not asked |
5528 |
|
NA |
eips2017h_2b
Variable label:
|
Who would you choose, national elections tomorrow
|
Literal question:
|
If there were national elections tomorrow and you had to vote for one of
these two candidates, which candidate would you choose?
|
Technical description:
|
[Asked if rekruttert=8 and eips2017h_ran=2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Candidate 1 |
634 |
46.3% |
0.46311176 |
2 |
Candidate 2 |
648 |
47.3% |
0.47333820 |
97 |
No answer |
87 |
6.4% |
0.06355004 |
98 |
Not asked |
5528 |
|
NA |
eips2017i_ran
Variable label:
|
[Randomizes if rekruttert=8. Randomly selects [The Progress party/ The
Liberal party/ Christian church / Muslim community / An anti-Islamic
group / A neo-Nazi group /A Muslim fundamentalist group] to question
EIPS2017I.]
|
Technical description:
|
[Randomizes if rekruttert=8. Randomly selects [The Progress party/ The
Liberal party/ Christian church / Muslim community / An anti-Islamic
group / A neo-Nazi group /A Muslim fundamentalist group] to question
eips2017i.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2661] [Invalid:4236]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
The Progress party |
394 |
14.8% |
0.1480646 |
2 |
The Liberal party |
380 |
14.3% |
0.1428035 |
3 |
Christian church |
407 |
15.3% |
0.1529500 |
4 |
Muslim community |
357 |
13.4% |
0.1341601 |
5 |
An anti-Islamic group |
363 |
13.6% |
0.1364149 |
6 |
A neo-Nazi group |
370 |
13.9% |
0.1390455 |
7 |
A Muslim fundamentalist group |
390 |
14.7% |
0.1465614 |
Sysmiss |
|
4236 |
|
NA |
eips2017i
Variable label:
|
Agree/disagree: [The Progress party/ The Liberal party/ Christian church
/ Muslim community / An anti-Islamic group / A neo-Nazi group /A Muslim
fundamentalist group] has asked to rent local community house, should
they be allowed?
|
Pre-question text:
|
Imagine that [The Progress party/ The Liberal party/ Christian church /
Muslim community / An anti-Islamic group / A neo-Nazi group /A Muslim
fundamentalist group] has asked to rent a local community house in order
to hold a meeting for its members and sympathizers.
|
Literal question:
|
To what extent do you agree that the [The Progress party/ The Liberal
party/ Christian church / Muslim community / An anti-Islamic group / A
neo-Nazi group /A Muslim fundamentalist group] should be allowed to rent
the local community house for this purpose?
|
Technical description:
|
[Asked if rekruttert=8.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0]
[Range:1-11]
|
Value |
Label |
Cases |
Percentage |
|
1 |
0 Do not agree at all |
503 |
18.6% |
0.18588322 |
2 |
1 |
99 |
3.7% |
0.03658537 |
3 |
2 |
110 |
4.1% |
0.04065041 |
4 |
3 |
98 |
3.6% |
0.03621582 |
5 |
4 |
83 |
3.1% |
0.03067258 |
6 |
5 |
297 |
11.0% |
0.10975610 |
7 |
6 |
84 |
3.1% |
0.03104213 |
8 |
7 |
144 |
5.3% |
0.05321508 |
9 |
8 |
197 |
7.3% |
0.07280118 |
10 |
9 |
114 |
4.2% |
0.04212860 |
11 |
10 Completely agree |
899 |
33.2% |
0.33222469 |
97 |
No answer |
78 |
2.9% |
0.02882483 |
98 |
Not asked |
4191 |
|
NA |
r9helse1_ran
Variable label:
|
[Randomizes if rekruttert=8. Randomly selects r9helse1a or r9helse1b.]
|
Technical description:
|
[Randomizes if rekruttert=8. Randomly selects r9helse1a or r9helse1b.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2657] [Invalid:4240]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Choose r9helse1a. |
1336 |
50.3% |
0.5028227 |
2 |
Choose r9helse1ab. |
1321 |
49.7% |
0.4971773 |
Sysmiss |
|
4240 |
|
NA |
r9helse1a
Variable label:
|
Thoughts when you hear/read the word antibiotics [Data withheld for the
sake of anonymity]
|
Literal question:
|
What do you think when you hear or read the word antibiotics?
|
Post-question:
|
Please write the first thing that comes into your mind. We want all
types of answers; a couple of sentences would be good, or just a few
words if that is better for you.
|
Technical description:
|
[Asked if rekruttert=8 and r9helse1_ran=1.]
[Text data will not be distributed due to privacy considerations.
However, data can be made available for researchers after contacting The
Norwegian Citizen Panel at University of Bergen.]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
r9helse1b
Variable label:
|
Thoughts when you hear/read the term “antibiotics-resistant bacteria”
[Data withheld for the sake of anonymity]
|
Literal question:
|
What do you think when you hear or read the term “antibiotics-resistant
bacteria”?
|
Post-question:
|
Please write the first thing that comes into your mind. We want all
types of answers; a couple of sentences would be good, or just a few
words if that is better for you.
|
Technical description:
|
[Asked if rekruttert=8 and r9helse1_ran=2.]
[Text data will not be distributed due to privacy considerations.
However, data can be made available for researchers after contacting The
Norwegian Citizen Panel at University of Bergen.]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
r9helse3
Variable label:
|
Agree/disagree: Should spend fewer resources on treatment of illnesses
due to smoking/alcohol/narcotics
|
Pre-question text:
|
Many people become ill because of a lifestyle that includes smoking,
high alcohol consumption, abuse of medications or narcotic substances.
|
Literal question:
|
Do you agree or disagree that the authorities should spend fewer
resources on treatment of illnesses that are due to these types of
lifestyle (for example, that the patient should pay a higher co-pay fee
or get a less expensive treatment than other patients get)?
|
Post-question:
|
Afterwards, we will ask you to justify your answer.
|
Technical description:
|
[Asked if rekruttert=8.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Agree |
584 |
21.6% |
0.21581670 |
2 |
Disagree |
2028 |
74.9% |
0.74944568 |
97 |
No answer |
94 |
3.5% |
0.03473762 |
98 |
Not asked |
4191 |
|
NA |
r9helse3_1
Variable label:
|
Explanation why you agree on spending fewer resources [Data withheld for
the sake of anonymity]
|
Literal question:
|
Can you explain why you answered that you agree that the authorities
should spend fewer resources to treat these kinds of lifestyle-related
illnesses?
|
Technical description:
|
[Asked if rekruttert=8 and r9helse3=1.]
[Text data will not be distributed due to privacy considerations.
However, data can be made available for researchers after contacting The
Norwegian Citizen Panel at University of Bergen.]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
r9helse3_2
Variable label:
|
Explanation why you disagree on spending fewer resources [Data withheld
for the sake of anonymity]
|
Literal question:
|
Can you explain why you answered that you disagree that the authorities
should spend fewer resources to treat these kinds of lifestyle-related
illnesses?
|
Technical description:
|
[Asked if rekruttert=8 and r9helse3=2.]
[Text data will not be distributed due to privacy considerations.
However, data can be made available for researchers after contacting The
Norwegian Citizen Panel at University of Bergen.]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
r9helse2_1
Variable label:
|
Perception, Norwegian public health system: Confident that you will be
given good treatment if you become acutely and seriously ill
|
Pre-question text:
|
We want to ask you a few questions related to your perception of how the
Norwegian public health service functions.
|
Literal question:
|
How confident do you feel that you will be given good treatment in the
public healthcare system if you should become acutely and seriously ill?
|
Technical description:
|
[Asked if rekruttert=8.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very confident |
846 |
31.3% |
0.312638581 |
2 |
Confident |
1234 |
45.6% |
0.456023651 |
3 |
Somewhat confident |
341 |
12.6% |
0.126016260 |
4 |
Neither confident nor unconfident |
59 |
2.2% |
0.021803400 |
5 |
Somewhat unconfident |
88 |
3.3% |
0.032520325 |
6 |
Unconfident |
45 |
1.7% |
0.016629712 |
7 |
Very unconfident |
20 |
0.7% |
0.007390983 |
97 |
No answer |
73 |
2.7% |
0.026977088 |
98 |
Not asked |
4191 |
|
NA |
r9helse2_2
Variable label:
|
Perception, Norwegian public health system: Confident that you will be
given good treatment if you become seriously ill, not acutely
|
Pre-question text:
|
We want to ask you a few questions related to your perception of how the
Norwegian public health service functions.
|
Literal question:
|
How confident do you feel that you will be given good treatment in the
public healthcare system if you should become seriously sick (but not
acutely)?
|
Technical description:
|
[Asked if rekruttert=8.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very confident |
546 |
20.2% |
0.20177384 |
2 |
Confident |
1231 |
45.5% |
0.45491500 |
3 |
Somewhat confident |
548 |
20.3% |
0.20251293 |
4 |
Neither confident nor unconfident |
92 |
3.4% |
0.03399852 |
5 |
Somewhat unconfident |
132 |
4.9% |
0.04878049 |
6 |
Unconfident |
59 |
2.2% |
0.02180340 |
7 |
Very unconfident |
23 |
0.8% |
0.00849963 |
97 |
No answer |
75 |
2.8% |
0.02771619 |
98 |
Not asked |
4191 |
|
NA |
r9helse2_3
Variable label:
|
Perception, Norwegian public health system: Confident that you will be
given good treatment if you experience a troublesome condition, neither
acutely or seriously ill
|
Pre-question text:
|
We want to ask you a few questions related to your perception of how the
Norwegian public health service functions.
|
Literal question:
|
How confident do you feel that you will be given good treatment in the
public healthcare system if you should experience a troublesome
condition (but not acute or serious illness)?
|
Technical description:
|
[Asked if rekruttert=8.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very confident |
281 |
10.4% |
0.10384331 |
2 |
Confident |
871 |
32.2% |
0.32187731 |
3 |
Somewhat confident |
761 |
28.1% |
0.28122690 |
4 |
Neither confident nor unconfident |
285 |
10.5% |
0.10532151 |
5 |
Somewhat unconfident |
243 |
9.0% |
0.08980044 |
6 |
Unconfident |
115 |
4.2% |
0.04249815 |
7 |
Very unconfident |
74 |
2.7% |
0.02734664 |
97 |
No answer |
76 |
2.8% |
0.02808574 |
98 |
Not asked |
4191 |
|
NA |
r9helse4
Variable label:
|
Aware of advice given by health authorities pertaining to
lifestyle/health
|
Literal question:
|
Are you aware of advice given by health authorities pertaining to
lifestyle and health, such as advice on diet/nutrition or a
recommendation to take flu shots?
|
Technical description:
|
[Asked if rekruttert=8.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Yes |
2366 |
87.4% |
0.87435329 |
2 |
No |
231 |
8.5% |
0.08536585 |
97 |
No answer |
109 |
4.0% |
0.04028086 |
98 |
Not asked |
4191 |
|
NA |
r9helse4_1
Variable label:
|
To what extent do you trust such advice from the health authorities?
|
Literal question:
|
To what extent do you trust such advice from the health authorities?
|
Technical description:
|
[Asked if rekruttert=8 and r9helse4=1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
To a very great extent |
338 |
14.3% |
0.142857143 |
2 |
To a great extent |
1186 |
50.1% |
0.501267963 |
3 |
Somewhat |
702 |
29.7% |
0.296703297 |
4 |
To a small extent |
90 |
3.8% |
0.038038884 |
5 |
Not at all |
31 |
1.3% |
0.013102282 |
97 |
No answer |
19 |
0.8% |
0.008030431 |
98 |
Not asked |
4531 |
|
NA |
r9helse4_2
Variable label:
|
To what extent do you follow the advice from the health authorities?
|
Literal question:
|
To what extent do you follow the advice from the health authorities?
|
Technical description:
|
[Asked if rekruttert=8 and r9helse4=1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
To a very great extent |
151 |
6.4% |
0.063820795 |
2 |
To a great extent |
896 |
37.9% |
0.378698225 |
3 |
Somewhat |
1060 |
44.8% |
0.448013525 |
4 |
To a small extent |
137 |
5.8% |
0.057903635 |
5 |
Not at all |
19 |
0.8% |
0.008030431 |
97 |
No answer |
103 |
4.4% |
0.043533390 |
98 |
Not asked |
4531 |
|
NA |
r9helse5
Variable label:
|
To what extent do you follow the advice given by your family doctor
|
Literal question:
|
To what extent do you follow the advice given by your family doctor,
such as advice on diet/nutrition or a recommendation to take flu shots?
|
Technical description:
|
[Asked if rekruttert=8.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
To a very great extent |
376 |
13.9% |
0.13895048 |
2 |
To a great extent |
1205 |
44.5% |
0.44530673 |
3 |
Somewhat |
788 |
29.1% |
0.29120473 |
4 |
To a small extent |
141 |
5.2% |
0.05210643 |
5 |
Not at all |
84 |
3.1% |
0.03104213 |
97 |
No answer |
112 |
4.1% |
0.04138950 |
98 |
Not asked |
4191 |
|
NA |
r9pad1
Variable label:
|
How important is it to accept decisions about important social issues
adopted by politicians/authorities
|
Pre-question text:
|
We would like to ask you some general questions about how you perceive
being a citizen in a democratic society.
|
Literal question:
|
What is your opinion – how important is it to accept the decisions about
important social issues after they have been adopted by politicians and
the authorities?
|
Technical description:
|
[Asked if x_ran=1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very important |
245 |
11.7% |
0.116722249 |
2 |
Important |
1158 |
55.2% |
0.551691282 |
3 |
Somewhat important |
566 |
27.0% |
0.269652215 |
4 |
Slightly important |
82 |
3.9% |
0.039066222 |
5 |
Not important at all |
31 |
1.5% |
0.014768938 |
97 |
No answer |
17 |
0.8% |
0.008099095 |
98 |
Not asked |
4798 |
|
NA |
r9pad2
Variable label:
|
To what extent do people in Norway accept decisions about important
social issues adopted by politicians/authorities
|
Literal question:
|
To what extent do you think people in Norway are willing to accept the
decisions about important social issues after they have been adopted by
politicians and the authorities?
|
Technical description:
|
[Asked if x_ran=1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
To a very great extent |
111 |
5.3% |
0.052882325 |
2 |
To a great extent |
1021 |
48.6% |
0.486422106 |
3 |
Somewhat |
786 |
37.4% |
0.374464030 |
4 |
To a small extent |
100 |
4.8% |
0.047641734 |
5 |
Not at all |
8 |
0.4% |
0.003811339 |
97 |
No answer |
73 |
3.5% |
0.034778466 |
98 |
Not asked |
4798 |
|
NA |
r9pad3
Variable label:
|
Do you accept decisions about important social issues adopted by
politicians/authorities?
|
Literal question:
|
What about you personally – do you live up to this standard (i.e.,
accept the decisions about important social issues after they have been
adopted by politicians and the authorities)?
|
Technical description:
|
[Asked if x_ran=1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
To a very great extent |
161 |
7.7% |
0.07670319 |
2 |
To a great extent |
1146 |
54.6% |
0.54597427 |
3 |
Somewhat |
650 |
31.0% |
0.30967127 |
4 |
To a small extent |
61 |
2.9% |
0.02906146 |
5 |
Not at all |
22 |
1.0% |
0.01048118 |
97 |
No answer |
59 |
2.8% |
0.02810862 |
98 |
Not asked |
4798 |
|
NA |
r9disc_setting
Variable label:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses the setting of a discussion between the respondent and a
hypothetical person. ]
|
Technical description:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses the setting of a discussion between the respondent and a
hypothetical person. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2096] [Invalid:4801]
[Range:0-3]
|
Value |
Label |
Cases |
Percentage |
|
0 |
[blank] |
547 |
26.1% |
0.2609733 |
1 |
in a publicly accessible comment field signed with one’s full name online |
550 |
26.2% |
0.2624046 |
2 |
in a social gathering |
462 |
22.0% |
0.2204198 |
3 |
on a train trip |
537 |
25.6% |
0.2562023 |
Sysmiss |
|
4801 |
|
NA |
r9disc_aktor
Variable label:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses the relationship between the respondent and the hypothetical
person. ]
|
Technical description:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses the relationship between the respondent and the hypothetical
person. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2096] [Invalid:4801]
[Range:0-2]
|
Value |
Label |
Cases |
Percentage |
|
0 |
a person |
675 |
32.2% |
0.3220420 |
1 |
a total stranger |
696 |
33.2% |
0.3320611 |
2 |
someone you know well |
725 |
34.6% |
0.3458969 |
Sysmiss |
|
4801 |
|
NA |
r9disc_kjonn
Variable label:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses the gender of the hypothetical person. ]
|
Technical description:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses the gender of the hypothetical person. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2096] [Invalid:4801]
[Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
he |
1051 |
50.1% |
0.5014313 |
1 |
she |
1045 |
49.9% |
0.4985687 |
Sysmiss |
|
4801 |
|
NA |
r9disc_parti
Variable label:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses the party preferance of the hypothetical person. ]
|
Technical description:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses the party preferance of the hypothetical person. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2096] [Invalid:4801]
[Range:0-9]
|
Value |
Label |
Cases |
Percentage |
|
0 |
[Blank] |
241 |
11.5% |
0.11498092 |
1 |
vote for the Red Party in the parliamentary election in September. Subsequently,
the person begins to |
210 |
10.0% |
0.10019084 |
2 |
vote for the Socialist Left Party in the parliamentary election in September.
Subsequently, the person begins to |
217 |
10.4% |
0.10353053 |
3 |
vote for the Labour Party in the parliamentary election in September.
Subsequently, the person begins to |
209 |
10.0% |
0.09971374 |
4 |
vote for the Centre Party in the parliamentary election in September.
Subsequently, the person begins to |
172 |
8.2% |
0.08206107 |
5 |
vote for the Green Party in the parliamentary election in September.
Subsequently, the person begins to |
229 |
10.9% |
0.10925573 |
6 |
vote for the Liberal Party in the parliamentary election in September.
Subsequently, the person begins to |
182 |
8.7% |
0.08683206 |
7 |
vote for the Christian Democratic Party in the parliamentary election in
September. Subsequently, the person begins to |
193 |
9.2% |
0.09208015 |
8 |
vote for the Conservative Party in the parliamentary election in September.
Subsequently, the person begins to |
210 |
10.0% |
0.10019084 |
9 |
vote for the Progress Party in the parliamentary election in September.
Subsequently, the person begins to |
233 |
11.1% |
0.11116412 |
Sysmiss |
|
4801 |
|
NA |
r9disc_uenighet
Variable label:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses the level of disagreement between the disussants.]
|
Technical description:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses the level of disagreement between the disussants.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2096] [Invalid:4801]
[Range:0-2]
|
Value |
Label |
Cases |
Percentage |
|
0 |
disagree extremely with the person |
722 |
34.4% |
0.3444656 |
1 |
disagree with the person |
681 |
32.5% |
0.3249046 |
2 |
disagree somewhat with the person |
693 |
33.1% |
0.3306298 |
Sysmiss |
|
4801 |
|
NA |
r9disc_saker
Variable label:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses the topic of the discussion.]
|
Technical description:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses the topic of the discussion.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2096] [Invalid:4801]
[Range:0-3]
|
Value |
Label |
Cases |
Percentage |
|
0 |
immigration policy |
501 |
23.9% |
0.2390267 |
1 |
climate policy |
531 |
25.3% |
0.2533397 |
2 |
taxation policy |
520 |
24.8% |
0.2480916 |
3 |
privatization of public services |
544 |
26.0% |
0.2595420 |
Sysmiss |
|
4801 |
|
NA |
r9disc_strategi_a
Variable label:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses 1/4 strategies that the respondent can select. ]
|
Technical description:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses 1/4 strategies that the respondent can select. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2096] [Invalid:4801]
[Range:0-3]
|
Value |
Label |
Cases |
Percentage |
|
0 |
I concede to the person’s opinion |
520 |
24.8% |
0.2480916 |
1 |
I say that I agree with the person |
531 |
25.3% |
0.2533397 |
2 |
I try to be accommodating |
523 |
25.0% |
0.2495229 |
3 |
I adapt to the other person’s opinion |
522 |
24.9% |
0.2490458 |
Sysmiss |
|
4801 |
|
NA |
r9disc_strategi_b
Variable label:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses 1/4 strategies that the respondent can select. ]
|
Technical description:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses 1/4 strategies that the respondent can select. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2096] [Invalid:4801]
[Range:0-3]
|
Value |
Label |
Cases |
Percentage |
|
0 |
I try to meet the other person halfway |
513 |
24.5% |
0.2447519 |
1 |
I put emphasis on reaching agreement |
560 |
26.7% |
0.2671756 |
2 |
I insist that both of us compromise a little |
494 |
23.6% |
0.2356870 |
3 |
I strive to reach a fifty-fifty compromise |
529 |
25.2% |
0.2523855 |
Sysmiss |
|
4801 |
|
NA |
r9disc_strategi_c
Variable label:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses 1/4 strategies that the respondent can select. ]
|
Technical description:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses 1/4 strategies that the respondent can select. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2096] [Invalid:4801]
[Range:0-3]
|
Value |
Label |
Cases |
Percentage |
|
0 |
I stress my opinion very strongly |
511 |
24.4% |
0.2437977 |
1 |
I look for counter-arguments that refute the person’s opinion |
536 |
25.6% |
0.2557252 |
2 |
I fight for my opinion |
512 |
24.4% |
0.2442748 |
3 |
I do everything I can to win the discussion with the person |
537 |
25.6% |
0.2562023 |
Sysmiss |
|
4801 |
|
NA |
r9disc_strategi_d
Variable label:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses 1/4 strategies that the respondent can select. ]
|
Technical description:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses 1/4 strategies that the respondent can select. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2096] [Invalid:4801]
[Range:0-3]
|
Value |
Label |
Cases |
Percentage |
|
0 |
I avoid confrontation linked to our differences |
501 |
23.9% |
0.2390267 |
1 |
I avoid differences of opinion to the greatest extent possible |
545 |
26.0% |
0.2600191 |
2 |
I try to make the differences seem less serious |
550 |
26.2% |
0.2624046 |
3 |
I try to avoid confronting the person |
500 |
23.9% |
0.2385496 |
Sysmiss |
|
4801 |
|
NA |
r9disc_strategi_aa
Variable label:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses 1/4 strategies that the respondent can select. ]
|
Technical description:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses 1/4 strategies that the respondent can select. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2096] [Invalid:4801]
[Range:0-3]
|
Value |
Label |
Cases |
Percentage |
|
0 |
I concede to the person’s opinion |
558 |
26.6% |
0.2662214 |
1 |
I say that I now agree with the person |
525 |
25.0% |
0.2504771 |
2 |
I try to be accommodating |
504 |
24.0% |
0.2404580 |
3 |
I adapt to the other person’s opinion |
509 |
24.3% |
0.2428435 |
Sysmiss |
|
4801 |
|
NA |
r9disc_strategi_bb
Variable label:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses 1/4 strategies that the respondent can select. ]
|
Technical description:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses 1/4 strategies that the respondent can select. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2096] [Invalid:4801]
[Range:0-3]
|
Value |
Label |
Cases |
Percentage |
|
0 |
I try to meet the other person halfway |
535 |
25.5% |
0.2552481 |
1 |
I put emphasis on reaching agreement |
492 |
23.5% |
0.2347328 |
2 |
I insist that both of us compromise a little |
547 |
26.1% |
0.2609733 |
3 |
I strive to reach a fifty-fifty compromise |
522 |
24.9% |
0.2490458 |
Sysmiss |
|
4801 |
|
NA |
r9disc_strategi_cc
Variable label:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses 1/4 strategies that the respondent can select. ]
|
Technical description:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses 1/4 strategies that the respondent can select. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2096] [Invalid:4801]
[Range:0-3]
|
Value |
Label |
Cases |
Percentage |
|
0 |
I stress my opinion very strongly |
530 |
25.3% |
0.2528626 |
1 |
I look for counter-arguments that refute the person’s opinion |
517 |
24.7% |
0.2466603 |
2 |
I stand up for my opinion |
505 |
24.1% |
0.2409351 |
3 |
I do everything I can to win the discussion with the person |
544 |
26.0% |
0.2595420 |
Sysmiss |
|
4801 |
|
NA |
r9disc_strategi_dd
Variable label:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses 1/4 strategies that the respondent can select. ]
|
Technical description:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses 1/4 strategies that the respondent can select. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2096] [Invalid:4801]
[Range:0-3]
|
Value |
Label |
Cases |
Percentage |
|
0 |
I avoid confrontation linked to our differences |
536 |
25.6% |
0.2557252 |
1 |
I avoid differences of opinion to the greatest extent possible |
501 |
23.9% |
0.2390267 |
2 |
I now try to make the differences seem less serious |
535 |
25.5% |
0.2552481 |
3 |
I try to avoid confronting the person |
524 |
25.0% |
0.2500000 |
Sysmiss |
|
4801 |
|
NA |
r9disc_pers_strategi
Variable label:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses the strategy of the hypothetical person. ]
|
Technical description:
|
[Asked if x_ran=1. Background variable for conjoint experiment. Randomly
chooses the strategy of the hypothetical person. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2096] [Invalid:4801]
[Range:0-15]
|
Value |
Label |
Cases |
Percentage |
|
0 |
to give in and concede to your opinion |
127 |
6.1% |
0.06059160 |
1 |
to agree with you |
128 |
6.1% |
0.06106870 |
2 |
to try to be accommodating |
139 |
6.6% |
0.06631679 |
3 |
to adapt to your opinion |
157 |
7.5% |
0.07490458 |
4 |
to try to meet halfway |
130 |
6.2% |
0.06202290 |
5 |
to place emphasis on coming to agreement |
127 |
6.1% |
0.06059160 |
6 |
to insist that both of you compromise a little |
125 |
6.0% |
0.05963740 |
7 |
to strive to reach a fifty-fifty compromise |
120 |
5.7% |
0.05725191 |
8 |
to insist that one’s own opinion is correct |
129 |
6.2% |
0.06154580 |
9 |
to try to find counter-arguments that refute your opinion |
129 |
6.2% |
0.06154580 |
10 |
to stand up for one’s opinion |
145 |
6.9% |
0.06917939 |
11 |
to do everything possible to win the discussion with you |
135 |
6.4% |
0.06440840 |
12 |
to avoid confrontation linked to our differences |
130 |
6.2% |
0.06202290 |
13 |
to avoid differences of opinion to the greatest extent possible |
131 |
6.2% |
0.06250000 |
14 |
to try to make the differences seem less serious |
127 |
6.1% |
0.06059160 |
15 |
to try to avoid confronting you |
117 |
5.6% |
0.05582061 |
Sysmiss |
|
4801 |
|
NA |
r9disc_1
Variable label:
|
Discussion with hypothetical person, which reaction suits you the best
|
Pre-question text:
|
We are interested in knowing more about how people discuss issues with
others. Imagine that you will be having a discussion later today with
[printout of the value of R9DISC_aktor] [printout of the value of
R9DISC_setting]. In the course of the discussion, it turns out that
[printout of the value of r9disc_kjonn] wants [printout of the value of
r9disc_parti] to discuss [printout of the value of r9disc_saker] in an
objective manner and that you are [printout of the value of
r9disc_uenighet]. We have described four different ways of reacting
below.
|
Literal question:
|
It may be that none of these reactions suit you, but if you had to
choose one, which reaction would you consider best?
|
Technical description:
|
[Asked if x_ran=1. Conjoint experiment. The respondents are exposed to
an vignette. The vignette varies along multiple dimensions. Please see
background variables. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
[Printout of the value of r9disc_strategi_a] |
211 |
10.1% |
0.10052406 |
2 |
[Printout of the value of r9disc_strategi_b] |
597 |
28.4% |
0.28442115 |
3 |
[Printout of the value of r9disc_strategi_c] |
784 |
37.4% |
0.37351120 |
4 |
[Printout of the value of r9disc_strategi_d] |
477 |
22.7% |
0.22725107 |
97 |
No answer |
30 |
1.4% |
0.01429252 |
98 |
Not asked |
4798 |
|
NA |
r9disc_2
Variable label:
|
The same hypothetical person is leaning towards a given strategy, which
reaction would you choose
|
Pre-question text:
|
Imagine that you now notice the same person is leaning towards [printout
of the value of r9disc_pers_strategi].
|
Literal question:
|
If you now had to choose to react in one of the four ways listed, which
one would you choose?
|
Technical description:
|
[Asked if x_ran=1. Conjoint experiment. The respondents are exposed to
an vignette. The vignette varies along multiple dimensions. Please see
background variables. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
[Printout of the value of r9disc_strategi_aa] |
198 |
9.4% |
0.09433063 |
2 |
[Printout of the value of r9disc_strategi_bb] |
716 |
34.1% |
0.34111482 |
3 |
[Printout of the value of r9disc_strategi_cc] |
531 |
25.3% |
0.25297761 |
4 |
[Printout of the value of r9disc_strategi_dd] |
569 |
27.1% |
0.27108147 |
97 |
No answer |
85 |
4.0% |
0.04049547 |
98 |
Not asked |
4798 |
|
NA |
r9disc_2_comment
Variable label:
|
Comments relating to reaction [Data withheld for the sake of anonymity]
|
Literal question:
|
You can write any comments you might have here
|
Technical description:
|
[Asked if x_ran=1.]
[Text data will not be distributed due to privacy considerations.
However, data can be made available for researchers after contacting The
Norwegian Citizen Panel at University of Bergen.]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
r9tvdeb1
Variable label:
|
How important are TV debates for which political party you vote for
|
Pre-question text:
|
During the election campaign for the parliamentary election, the party
leaders for most of the Norwegian political parties will participate in
debates broadcasted live on TV.
|
Literal question:
|
How important are these TV debates for you in making up your mind about
which political party you will vote for?
|
Technical description:
|
[Asked if x_ran=1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very important |
67 |
3.2% |
0.031919962 |
2 |
Important |
272 |
13.0% |
0.129585517 |
3 |
Somewhat important |
629 |
30.0% |
0.299666508 |
4 |
Slightly important |
705 |
33.6% |
0.335874226 |
5 |
Not important at all |
364 |
17.3% |
0.173415912 |
6 |
I have never seen a TV debate |
49 |
2.3% |
0.023344450 |
97 |
No answer |
13 |
0.6% |
0.006193425 |
98 |
Not asked |
4798 |
|
NA |
r9tvdeb2
Variable label:
|
Associations to televised election campaign debates [Data withheld for
the sake of anonymity]
|
Literal question:
|
What associations come to mind when you think about televised election
campaign debates before the election?
|
Post-question:
|
We are interested in your answers, irrespective of whether or not you
have watched a TV debate before. Please write the first thing that comes
into your mind. We want all types of answers; a couple of sentences
would be good, or just a few words if that is better for you.
|
Technical description:
|
[Asked if x_ran=1.]
[Text data will not be distributed due to privacy considerations.
However, data can be made available for researchers after contacting The
Norwegian Citizen Panel at University of Bergen.]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
r9tvdeb3_1
Variable label:
|
Statement, party leader debates: Important part of election campaign
|
Pre-question text:
|
Below we have listed some statements about party leader debates on TV.
Please put an X next to the descriptions with which you agree or that
you think apply to you.
|
Literal question:
|
The party leader debates are an important part of the election campaign
|
Technical description:
|
[Asked if x_ran=1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
The party leader debates are an important part of the election campaign |
611 |
29.1% |
0.291090996 |
97 |
No answer |
11 |
0.5% |
0.005240591 |
98 |
Not asked |
4798 |
|
NA |
0 |
|
1477 |
70.4% |
0.703668414 |
r9tvdeb3_2
Variable label:
|
Statement, party leader debates: Best described as politicians only
fighting one another
|
Pre-question text:
|
Below we have listed some statements about party leader debates on TV.
Please put an X next to the descriptions with which you agree or that
you think apply to you.
|
Literal question:
|
The party leader debates can best be described as politicians only
fighting with one another
|
Technical description:
|
[Asked if x_ran=1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
The party leader debates can best be described as politicians only fighting with
one another |
1208 |
57.6% |
0.575512149 |
97 |
No answer |
11 |
0.5% |
0.005240591 |
98 |
Not asked |
4798 |
|
NA |
0 |
|
880 |
41.9% |
0.419247261 |
r9tvdeb3_3
Variable label:
|
Statement, party leader debates: Too strongly controlled by the
journalists
|
Pre-question text:
|
Below we have listed some statements about party leader debates on TV.
Please put an X next to the descriptions with which you agree or that
you think apply to you.
|
Literal question:
|
Party leader debates are too strongly controlled by the journalists
|
Technical description:
|
[Asked if x_ran=1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Party leader debates are too strongly controlled by the journalists |
393 |
18.7% |
0.187232015 |
97 |
No answer |
11 |
0.5% |
0.005240591 |
98 |
Not asked |
4798 |
|
NA |
0 |
|
1695 |
80.8% |
0.807527394 |
r9tvdeb3_4
Variable label:
|
Statement, party leader debates: Difficult to keep up with politicians’
opinions
|
Pre-question text:
|
Below we have listed some statements about party leader debates on TV.
Please put an X next to the descriptions with which you agree or that
you think apply to you.
|
Literal question:
|
It is difficult to keep up with politicians’ opinions
|
Technical description:
|
[Asked if x_ran=1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
It is difficult to keep up with politicians’ opinions |
434 |
20.7% |
0.206765126 |
97 |
No answer |
11 |
0.5% |
0.005240591 |
98 |
Not asked |
4798 |
|
NA |
0 |
|
1654 |
78.8% |
0.787994283 |
r9tvdeb3_5
Variable label:
|
Statement, party leader debates: Not controlled enough by the
journalists
|
Pre-question text:
|
Below we have listed some statements about party leader debates on TV.
Please put an X next to the descriptions with which you agree or that
you think apply to you.
|
Literal question:
|
Party leader debates are not controlled enough by the journalists
|
Technical description:
|
[Asked if x_ran=1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Party leader debates are not controlled enough by the journalists |
143 |
6.8% |
0.068127680 |
97 |
No answer |
11 |
0.5% |
0.005240591 |
98 |
Not asked |
4798 |
|
NA |
0 |
|
1945 |
92.7% |
0.926631729 |
r9medtrust1
Variable label:
|
What do you think it means to trust the media? [Data withheld for the
sake of anonymity]
|
Pre-question text:
|
People often talk about “trusting the media”.
|
Literal question:
|
In your own words, explain what you think it means to trust the media.
|
Post-question:
|
Please write the first thing that comes into your mind. We want all
types of answers; a couple of sentences would be good, or just a few
words if that is better for you.
|
Technical description:
|
[Asked if x_ran=2.]
[Text data will not be distributed due to privacy considerations.
However, data can be made available for researchers after contacting The
Norwegian Citizen Panel at University of Bergen.]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
r9medtrust2_ran
Variable label:
|
[Randomizes if x_ran=2.Randomly selects r9medtrust2a, r9medtrust2b,
r9medtrust2c eller r9medtrust2d.]
|
Technical description:
|
[Randomizes if x_ran=2.Randomly selects r9medtrust2a, r9medtrust2b,
r9medtrust2c eller r9medtrust2d.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2086] [Invalid:4811]
[Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Choose r9medtrust2a. |
544 |
26.1% |
0.2607862 |
2 |
Choose r9medtrust2b. |
529 |
25.4% |
0.2535954 |
3 |
Choose r9medtrust2c. |
494 |
23.7% |
0.2368169 |
4 |
Choose r9medtrust2d. |
519 |
24.9% |
0.2488015 |
Sysmiss |
|
4811 |
|
NA |
r9medtrust2a
Variable label:
|
Confidence in trustworthy information in articles pertaining to
immigration from: VG.no
|
Pre-question text:
|
People write regularly in the Norwegian news media, in blogs and on
politicians’ Facebook pages about issues associated with immigration.
|
Literal question:
|
How confident are you that you get trustworthy information from VG.no in
articles pertaining to immigration?
|
Technical description:
|
[Asked if x_ran=2 and r9medtrust2_ran=1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
1 |
I have never heard of VG.no |
28 |
5.1% |
0.051470588 |
2 |
I have no confidence at all |
23 |
4.2% |
0.042279412 |
3 |
I have little confidence |
130 |
23.9% |
0.238970588 |
4 |
I have a moderate degree of confidence |
285 |
52.4% |
0.523897059 |
5 |
I have high confidence |
68 |
12.5% |
0.125000000 |
6 |
I have very high confidence |
3 |
0.6% |
0.005514706 |
97 |
No answer |
7 |
1.3% |
0.012867647 |
98 |
Not asked |
6353 |
|
NA |
r9medtrust2b
Variable label:
|
Confidence in trustworthy information in articles pertaining to
immigration from: Document.no
|
Pre-question text:
|
People write regularly in the Norwegian news media, in blogs and on
politicians’ Facebook pages about issues associated with immigration.
|
Literal question:
|
How confident are you that you get trustworthy information from
Document.no in articles pertaining to immigration?
|
Technical description:
|
[Asked if x_ran=2 and r9medtrust2_ran=2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
1 |
I have never heard of Document.no |
285 |
53.9% |
0.538752363 |
2 |
I have no confidence at all |
67 |
12.7% |
0.126654064 |
3 |
I have little confidence |
82 |
15.5% |
0.155009452 |
4 |
I have a moderate degree of confidence |
72 |
13.6% |
0.136105860 |
5 |
I have high confidence |
11 |
2.1% |
0.020793951 |
6 |
I have very high confidence |
3 |
0.6% |
0.005671078 |
97 |
No answer |
9 |
1.7% |
0.017013233 |
98 |
Not asked |
6368 |
|
NA |
r9medtrust2c
Variable label:
|
Confidence in trustworthy information in articles pertaining to
immigration from: Sylvi Listhaug’s Facebook page
|
Pre-question text:
|
People write regularly in the Norwegian news media, in blogs and on
politicians’ Facebook pages about issues associated with immigration.
|
Literal question:
|
How confident are you that you get trustworthy information from Sylvi
Listhaug’s Facebook page pertaining to immigration?
|
Technical description:
|
[Asked if x_ran=2 and r9medtrust2_ran=3.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
1 |
I have never heard of Sylvi Listhaug’s Facebook page |
132 |
26.7% |
0.26720648 |
2 |
I have no confidence at all |
129 |
26.1% |
0.26113360 |
3 |
I have little confidence |
97 |
19.6% |
0.19635628 |
4 |
I have a moderate degree of confidence |
77 |
15.6% |
0.15587045 |
5 |
I have high confidence |
39 |
7.9% |
0.07894737 |
6 |
I have very high confidence |
14 |
2.8% |
0.02834008 |
97 |
No answer |
6 |
1.2% |
0.01214575 |
98 |
Not asked |
6403 |
|
NA |
r9medtrust2d
Variable label:
|
Confidence in trustworthy information in articles pertaining to
immigration from: Nrk.no
|
Pre-question text:
|
People write regularly in the Norwegian news media, in blogs and on
politicians’ Facebook pages about issues associated with immigration.
|
Literal question:
|
How confident are you that you get trustworthy information from Nrk.no
in articles pertaining to immigration?
|
Technical description:
|
[Asked if x_ran=2 and r9medtrust2_ran=4.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
1 |
I have never heard of Nrk.no |
10 |
1.9% |
0.019267823 |
2 |
I have no confidence at all |
11 |
2.1% |
0.021194605 |
3 |
I have little confidence |
52 |
10.0% |
0.100192678 |
4 |
I have a moderate degree of confidence |
195 |
37.6% |
0.375722543 |
5 |
I have high confidence |
221 |
42.6% |
0.425818882 |
6 |
I have very high confidence |
25 |
4.8% |
0.048169557 |
97 |
No answer |
5 |
1.0% |
0.009633911 |
98 |
Not asked |
6378 |
|
NA |
r9fake1
Variable label:
|
Agree/disagree: Political discussions cannot speak about facts, everyone
fights for the truth as they know it
|
Pre-question text:
|
Much attention has been given to so-called “fake news” during the past
year. To what extent do you agree or disagree that…
|
Literal question:
|
In political discussions, one cannot speak about facts. There are
differences of opinion and everyone fights for the truth as they know
it.
|
Technical description:
|
[Asked if x_ran=2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
104 |
5.0% |
0.04971319 |
2 |
Agree |
440 |
21.0% |
0.21032505 |
3 |
Agree somewhat |
549 |
26.2% |
0.26242830 |
4 |
Neither agree nor disagree |
234 |
11.2% |
0.11185468 |
5 |
Disagree somewhat |
169 |
8.1% |
0.08078394 |
6 |
Disagree |
355 |
17.0% |
0.16969407 |
7 |
Strongly disagree |
179 |
8.6% |
0.08556405 |
97 |
No answer |
62 |
3.0% |
0.02963671 |
98 |
Not asked |
4805 |
|
NA |
r9fake2
Variable label:
|
Agree/disagree: Most Norwegian newspapers/TV channels have never been
neutral
|
Pre-question text:
|
Much attention has been given to so-called “fake news” during the past
year. To what extent do you agree or disagree that…
|
Literal question:
|
Most Norwegian newspapers and TV channels are not now and have never
been neutral.
|
Technical description:
|
[Asked if x_ran=2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
149 |
7.1% |
0.071223709 |
2 |
Agree |
407 |
19.5% |
0.194550669 |
3 |
Agree somewhat |
725 |
34.7% |
0.346558317 |
4 |
Neither agree nor disagree |
306 |
14.6% |
0.146271511 |
5 |
Disagree somewhat |
264 |
12.6% |
0.126195029 |
6 |
Disagree |
190 |
9.1% |
0.090822180 |
7 |
Strongly disagree |
16 |
0.8% |
0.007648184 |
97 |
No answer |
35 |
1.7% |
0.016730402 |
98 |
Not asked |
4805 |
|
NA |
r9fake2_comment
Variable label:
|
Comments relating to neutrality in Norwegian media [Data withheld for
the sake of anonymity]
|
Literal question:
|
You can write any comments you might have here:
|
Technical description:
|
[Asked if x_ran=2.]
[Text data will not be distributed due to privacy considerations.
However, data can be made available for researchers after contacting The
Norwegian Citizen Panel at University of Bergen.]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
r9fake3
Variable label:
|
More trustworthy: Social or traditional media
|
Pre-question text:
|
Much attention has been given to so-called “fake news” during the past
year.
|
Literal question:
|
Would you say that you get more trustworthy information from social
media (for example Facebook and Twitter) or from the traditional media
(for example NRK, TV2 and VG)?
|
Technical description:
|
[Asked if x_ran=2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Social media provide me with very much more trustworthy information than do the
traditional media |
24 |
1.1% |
0.01147228 |
2 |
Social media provide me with more trustworthy information than do the
traditional media |
77 |
3.7% |
0.03680688 |
3 |
Both are equally trustworthy |
287 |
13.7% |
0.13718929 |
4 |
Traditional media provide me with more trustworthy information than do the
social media |
1062 |
50.8% |
0.50764818 |
5 |
Traditional media provide me with very much more trustworthy information than do
the social media |
578 |
27.6% |
0.27629063 |
97 |
No answer |
64 |
3.1% |
0.03059273 |
98 |
Not asked |
4805 |
|
NA |
r9selexp3_valgteoverskrifter_0
Variable label:
|
[Asked if x_ran=2. Conjoint experiment. One of four randomly chosen
headlines that the respondent can select. The headlines are chosen from
a predefind list. Please contact Erik Knudsen and Mikael Johannesson
(UiB) for questions. ]
|
Technical description:
|
[Asked if x_ran=2. Conjoint experiment. One of four randomly chosen
headlines that the respondent can select. The headlines are chosen from
a predefind list. Please contact Erik Knudsen and Mikael Johannesson
(UiB) for questions. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2075] [Invalid:4822]
[Range:1-756]
|
r9selexp3_valgteoverskrifter_1
Variable label:
|
[Asked if x_ran=2. Conjoint experiment. One of four randomly chosen
headlines that the respondent can select. The headlines are chosen from
a predefind list. Please contact Erik Knudsen and Mikael Johannesson
(UiB) for questions. ]
|
Technical description:
|
[Asked if x_ran=2. Conjoint experiment. One of four randomly chosen
headlines that the respondent can select. The headlines are chosen from
a predefind list. Please contact Erik Knudsen and Mikael Johannesson
(UiB) for questions. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2075] [Invalid:4822]
[Range:1-756]
|
r9selexp3_valgteoverskrifter_2
Variable label:
|
[Asked if x_ran=2. Conjoint experiment. One of four randomly chosen
headlines that the respondent can select. The headlines are chosen from
a predefind list. Please contact Erik Knudsen and Mikael Johannesson
(UiB) for questions. ]
|
Technical description:
|
[Asked if x_ran=2. Conjoint experiment. One of four randomly chosen
headlines that the respondent can select. The headlines are chosen from
a predefind list. Please contact Erik Knudsen and Mikael Johannesson
(UiB) for questions. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2075] [Invalid:4822]
[Range:1-756]
|
r9selexp3_valgteoverskrifter_3
Variable label:
|
[Asked if x_ran=2. Conjoint experiment. One of four randomly chosen
headlines that the respondent can select. The headlines are chosen from
a predefind list. Please contact Erik Knudsen and Mikael Johannesson
(UiB) for questions. ]
|
Technical description:
|
[Asked if x_ran=2. Conjoint experiment. One of four randomly chosen
headlines that the respondent can select. The headlines are chosen from
a predefind list. Please contact Erik Knudsen and Mikael Johannesson
(UiB) for questions. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2075] [Invalid:4822]
[Range:1-756]
|
r9selexp3_valgtekilder_0
Variable label:
|
[Asked if x_ran=2. Conjoint experiment. One of four randomly chosen
headline sources. Please contact Erik Knudsen and Mikael Johannesson
(UiB) for questions. ]
|
Technical description:
|
[Asked if x_ran=2. Conjoint experiment. One of four randomly chosen
headline sources. Please contact Erik Knudsen and Mikael Johannesson
(UiB) for questions. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2075] [Invalid:4822]
[Range:0-4]
|
Value |
Label |
Cases |
Percentage |
|
0 |
NRK |
421 |
20.3% |
0.2028916 |
1 |
TV2 |
426 |
20.5% |
0.2053012 |
2 |
Aftenposten |
382 |
18.4% |
0.1840964 |
3 |
Dagens Næringsliv |
432 |
20.8% |
0.2081928 |
4 |
Klassekampen |
414 |
20.0% |
0.1995181 |
Sysmiss |
|
4822 |
|
NA |
r9selexp3_valgtekilder_1
Variable label:
|
[Asked if x_ran=2. Conjoint experiment. One of four randomly chosen
headline sources. Please contact Erik Knudsen and Mikael Johannesson
(UiB) for questions. ]
|
Technical description:
|
[Asked if x_ran=2. Conjoint experiment. One of four randomly chosen
headline sources. Please contact Erik Knudsen and Mikael Johannesson
(UiB) for questions. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2075] [Invalid:4822]
[Range:0-4]
|
Value |
Label |
Cases |
Percentage |
|
0 |
NRK |
425 |
20.5% |
0.2048193 |
1 |
TV2 |
395 |
19.0% |
0.1903614 |
2 |
Aftenposten |
457 |
22.0% |
0.2202410 |
3 |
Dagens Næringsliv |
384 |
18.5% |
0.1850602 |
4 |
Klassekampen |
414 |
20.0% |
0.1995181 |
Sysmiss |
|
4822 |
|
NA |
r9selexp3_valgtekilder_2
Variable label:
|
[Asked if x_ran=2. Conjoint experiment. One of four randomly chosen
headline sources. Please contact Erik Knudsen and Mikael Johannesson
(UiB) for questions. ]
|
Technical description:
|
[Asked if x_ran=2. Conjoint experiment. One of four randomly chosen
headline sources. Please contact Erik Knudsen and Mikael Johannesson
(UiB) for questions. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2075] [Invalid:4822]
[Range:0-4]
|
Value |
Label |
Cases |
Percentage |
|
0 |
NRK |
420 |
20.2% |
0.2024096 |
1 |
TV2 |
411 |
19.8% |
0.1980723 |
2 |
Aftenposten |
446 |
21.5% |
0.2149398 |
3 |
Dagens Næringsliv |
381 |
18.4% |
0.1836145 |
4 |
Klassekampen |
417 |
20.1% |
0.2009639 |
Sysmiss |
|
4822 |
|
NA |
r9selexp3_valgtekilder_3
Variable label:
|
[Asked if x_ran=2. Conjoint experiment. One of four randomly chosen
headline sources. Please contact Erik Knudsen and Mikael Johannesson
(UiB) for questions. ]
|
Technical description:
|
[Asked if x_ran=2. Conjoint experiment. One of four randomly chosen
headline sources. Please contact Erik Knudsen and Mikael Johannesson
(UiB) for questions. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2075] [Invalid:4822]
[Range:0-4]
|
Value |
Label |
Cases |
Percentage |
|
0 |
NRK |
396 |
19.1% |
0.1908434 |
1 |
TV2 |
394 |
19.0% |
0.1898795 |
2 |
Aftenposten |
425 |
20.5% |
0.2048193 |
3 |
Dagens Næringsliv |
422 |
20.3% |
0.2033735 |
4 |
Klassekampen |
438 |
21.1% |
0.2110843 |
Sysmiss |
|
4822 |
|
NA |
r9selexp3_1
Variable label:
|
Which two online articles would you spend your time reading?
|
Pre-question text:
|
Our aim is to study people’s routines pertaining to the media. Below are
some fictional articles we have made up to resemble articles one might
find in Norwegian online newspapers. Please read all the headings
carefully and pretend that the articles are authentic.
|
Literal question:
|
It is possible that you would not read any of these articles on an
ordinary day, but let’s say that you had to read two of these articles.
Which articles would you prefer to spend your time reading?
|
Technical description:
|
[Asked if x_ran=2. Conjoint experiment. The respondents are exposed to
four randomly chosen headlines from the news. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
[Printout of the value of r9selexp3_valgtekilder_0 og
r9selexp3_valgteoverskrifter_0] |
1036 |
49.5% |
0.49521989 |
97 |
No answer |
21 |
1.0% |
0.01003824 |
98 |
Not asked |
4805 |
|
NA |
0 |
|
1035 |
49.5% |
0.49474187 |
r9selexp3_2
Variable label:
|
Which two online articles would you spend your time reading?
|
Pre-question text:
|
Our aim is to study people’s routines pertaining to the media. Below are
some fictional articles we have made up to resemble articles one might
find in Norwegian online newspapers. Please read all the headings
carefully and pretend that the articles are authentic.
|
Literal question:
|
It is possible that you would not read any of these articles on an
ordinary day, but let’s say that you had to read two of these articles.
Which articles would you prefer to spend your time reading?
|
Technical description:
|
[Asked if x_ran=2. Conjoint experiment. The respondents are exposed to
four randomly chosen headlines from the news. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
[Printout of the value of r9selexp3_valgtekilder_1 og
r9selexp3_valgteoverskrifter_1] |
995 |
47.6% |
0.47562141 |
97 |
No answer |
21 |
1.0% |
0.01003824 |
98 |
Not asked |
4805 |
|
NA |
0 |
|
1076 |
51.4% |
0.51434034 |
r9selexp3_3
Variable label:
|
Which two online articles would you spend your time reading?
|
Pre-question text:
|
Our aim is to study people’s routines pertaining to the media. Below are
some fictional articles we have made up to resemble articles one might
find in Norwegian online newspapers. Please read all the headings
carefully and pretend that the articles are authentic.
|
Literal question:
|
It is possible that you would not read any of these articles on an
ordinary day, but let’s say that you had to read two of these articles.
Which articles would you prefer to spend your time reading?
|
Technical description:
|
[Asked if x_ran=2. Conjoint experiment. The respondents are exposed to
four randomly chosen headlines from the news. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
[Printout of the value of r9selexp3_valgtekilder_2 og
r9selexp3_valgteoverskrifter_2] |
994 |
47.5% |
0.47514340 |
97 |
No answer |
21 |
1.0% |
0.01003824 |
98 |
Not asked |
4805 |
|
NA |
0 |
|
1077 |
51.5% |
0.51481836 |
r9selexp3_4
Variable label:
|
Which two online articles would you spend your time reading?
|
Pre-question text:
|
Our aim is to study people’s routines pertaining to the media. Below are
some fictional articles we have made up to resemble articles one might
find in Norwegian online newspapers. Please read all the headings
carefully and pretend that the articles are authentic.
|
Literal question:
|
It is possible that you would not read any of these articles on an
ordinary day, but let’s say that you had to read two of these articles.
Which articles would you prefer to spend your time reading?
|
Technical description:
|
[Asked if x_ran=2. Conjoint experiment. The respondents are exposed to
four randomly chosen headlines from the news. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
[Printout of the value of r9selexp3_valgtekilder_3 og
r9selexp3_valgteoverskrifter_3] |
991 |
47.4% |
0.47370937 |
97 |
No answer |
21 |
1.0% |
0.01003824 |
98 |
Not asked |
4805 |
|
NA |
0 |
|
1080 |
51.6% |
0.51625239 |
r9selexp1_overskrift_sak1
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses a headline for news item 1.]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses a headline for news item 1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2070] [Invalid:4827]
[Range:1-756]
|
r9selexp1_overskrift_sak2
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses a headline for news item 2.]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses a headline for news item 2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2070] [Invalid:4827]
[Range:1-756]
|
r9selexp1_plassering_sak1
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the placement of the news item 1 on the front page. ]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the placement of the news item 1 on the front page. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2070] [Invalid:4827]
[Range:0-3]
|
Value |
Label |
Cases |
Percentage |
|
0 |
Very prominently visible on the front page |
507 |
24.5% |
0.2449275 |
1 |
Somewhat prominent on the front page |
509 |
24.6% |
0.2458937 |
2 |
Not very prominent on the front page |
498 |
24.1% |
0.2405797 |
3 |
The news item is not published on the front page |
556 |
26.9% |
0.2685990 |
Sysmiss |
|
4827 |
|
NA |
r9selexp1_plassering_sak2
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the placement of the news item 2 on the front page. ]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the placement of the news item 2 on the front page. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2070] [Invalid:4827]
[Range:0-3]
|
Value |
Label |
Cases |
Percentage |
|
0 |
Very prominently visible on the front page |
520 |
25.1% |
0.2512077 |
1 |
Somewhat prominent on the front page |
504 |
24.3% |
0.2434783 |
2 |
Not very prominent on the front page |
520 |
25.1% |
0.2512077 |
3 |
The news item is not published on the front page |
526 |
25.4% |
0.2541063 |
Sysmiss |
|
4827 |
|
NA |
r9selexp1_lesere_sak1
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the level of popularity of news item 1. ]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the level of popularity of news item 1. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2070] [Invalid:4827]
[Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
On the list of the most read articles this week |
1022 |
49.4% |
0.4937198 |
1 |
Not on the list of the most read articles this week |
1048 |
50.6% |
0.5062802 |
Sysmiss |
|
4827 |
|
NA |
r9selexp1_lesere_sak2
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the level of popularity of news item 2. ]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the level of popularity of news item 2. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2070] [Invalid:4827]
[Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
On the list of the most read articles this week |
1011 |
48.8% |
0.4884058 |
1 |
Not on the list of the most read articles this week |
1059 |
51.2% |
0.5115942 |
Sysmiss |
|
4827 |
|
NA |
r9selexp1_anbefal_sak1
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the social media recommendations of news item 1. ]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the social media recommendations of news item 1. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2070] [Invalid:4827]
[Range:0-2]
|
Value |
Label |
Cases |
Percentage |
|
0 |
Very many recommendations |
694 |
33.5% |
0.3352657 |
1 |
Some recommendations |
703 |
34.0% |
0.3396135 |
2 |
No recommendations at all |
673 |
32.5% |
0.3251208 |
Sysmiss |
|
4827 |
|
NA |
r9selexp1_anbefal_sak2
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the social media recommendations of news item 2. ]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the social media recommendations of news item 2. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2070] [Invalid:4827]
[Range:0-2]
|
Value |
Label |
Cases |
Percentage |
|
0 |
Very many recommendations |
696 |
33.6% |
0.3362319 |
1 |
Some recommendations |
673 |
32.5% |
0.3251208 |
2 |
No recommendations at all |
701 |
33.9% |
0.3386473 |
Sysmiss |
|
4827 |
|
NA |
r9selexp1_kilde_sak1
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the source of news item 1. ]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the source of news item 1. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2070] [Invalid:4827]
[Range:0-4]
|
Value |
Label |
Cases |
Percentage |
|
0 |
NRK |
417 |
20.1% |
0.2014493 |
1 |
TV2 |
374 |
18.1% |
0.1806763 |
2 |
Aftenposten |
405 |
19.6% |
0.1956522 |
3 |
Dagens Næringsliv |
415 |
20.0% |
0.2004831 |
4 |
Klassekampen |
459 |
22.2% |
0.2217391 |
Sysmiss |
|
4827 |
|
NA |
r9selexp1_kilde_sak2
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the source of news item 2. ]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the source of news item 2. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2070] [Invalid:4827]
[Range:0-4]
|
Value |
Label |
Cases |
Percentage |
|
0 |
NRK |
388 |
18.7% |
0.1874396 |
1 |
TV2 |
441 |
21.3% |
0.2130435 |
2 |
Aftenposten |
400 |
19.3% |
0.1932367 |
3 |
Dagens Næringsliv |
429 |
20.7% |
0.2072464 |
4 |
Klassekampen |
412 |
19.9% |
0.1990338 |
Sysmiss |
|
4827 |
|
NA |
r9selexp1
Variable label:
|
Two hypothetical news items, which one would you read?
|
Pre-question text:
|
Below we have provided information about the two different news items
we made up. Please read the descriptions of both news items carefully
and answer the questions below.
[Printout of the value of r9selexp1_overskrift_sak1,
r9selexp1_overskrift_sak2, r9selexp1_plassering_sak1,
r9selexp1_plassering_sak2, r9selexp1_lesere_sak1, r9selexp1_lesere_sak2,
r9selexp1_anbefal_sak1, r9selexp1_anbefal_sak2, r9selexp1_kilde_sak1,
r9selexp1_kilde_sak2]
|
Literal question:
|
It is possible that you would read any of these articles on an ordinary
day, but if you had to choose one of the two articles to read based on
the information in the table above, which article would you choose?
|
Technical description:
|
[Asked if x_ran=2. Conjoint experiment. Respondent is exposed to a
description of two news items. The description contains 5 randomly
chosen characteristics from predefined lists. The characteristics are
orderer in a randomly fashion.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
News item 1 |
1063 |
50.8% |
0.50812620 |
2 |
News item 2 |
932 |
44.6% |
0.44550669 |
97 |
No answer |
97 |
4.6% |
0.04636711 |
98 |
Not asked |
4805 |
|
NA |
r9selexp2_ran
Variable label:
|
[Randomizes if x_ran=2. Randomly selects r9selexp2_1 or r9selexp2_2.]
|
Technical description:
|
[Randomizes if x_ran=2. Randomly selects r9selexp2_1 or r9selexp2_2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2064] [Invalid:4833]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Choose r9selexp2_1 |
1028 |
49.8% |
0.498062 |
2 |
Choose r9selexp2_2 |
1036 |
50.2% |
0.501938 |
Sysmiss |
|
4833 |
|
NA |
r9selexp2_kjonn_person1
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the gender of person 1.]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the gender of person 1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2064] [Invalid:4833]
[Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
Male |
1070 |
51.8% |
0.5184109 |
1 |
Female |
994 |
48.2% |
0.4815891 |
Sysmiss |
|
4833 |
|
NA |
r9selexp2_kjonn_person2
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the gender of person 2.]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the gender of person 2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2064] [Invalid:4833]
[Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
Male |
1053 |
51.0% |
0.5101744 |
1 |
Female |
1011 |
49.0% |
0.4898256 |
Sysmiss |
|
4833 |
|
NA |
r9selexp2_sprak_person1
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the norwegian language abilities of person 1.]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the norwegian language abilities of person 1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2064] [Invalid:4833]
[Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
Does not write Norwegian well |
1048 |
50.8% |
0.5077519 |
1 |
Writes Norwegian well |
1016 |
49.2% |
0.4922481 |
Sysmiss |
|
4833 |
|
NA |
r9selexp2_sprak_person2
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the norwegian language abilities of person 2.]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the norwegian language abilities of person 2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2064] [Invalid:4833]
[Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
Does not write Norwegian well |
1064 |
51.6% |
0.5155039 |
1 |
Writes Norwegian well |
1000 |
48.4% |
0.4844961 |
Sysmiss |
|
4833 |
|
NA |
r9selexp2_kunnskap_person1
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the level of knowledge on a particular subject of person 1.]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the level of knowledge on a particular subject of person 1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2064] [Invalid:4833]
[Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
Little knowledge |
1019 |
49.4% |
0.4937016 |
1 |
A lot of knowledge |
1045 |
50.6% |
0.5062984 |
Sysmiss |
|
4833 |
|
NA |
r9selexp2_kunnskap_person2
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the level of knowledge on a particular subject of person 2.]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the level of knowledge on a particular subject of person 2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2064] [Invalid:4833]
[Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
Little knowledge |
1039 |
50.3% |
0.5033915 |
1 |
A lot of knowledge |
1025 |
49.7% |
0.4966085 |
Sysmiss |
|
4833 |
|
NA |
r9selexp2_popularitet_person1
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the popularity of the news item shared by person 1.]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the popularity of the news item shared by person 1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2064] [Invalid:4833]
[Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
Few people share posts |
1009 |
48.9% |
0.4888566 |
1 |
Many people share posts |
1055 |
51.1% |
0.5111434 |
Sysmiss |
|
4833 |
|
NA |
r9selexp2_popularitet_person2
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the popularity of the news item shared by person 2.]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the popularity of the news item shared by person 2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2064] [Invalid:4833]
[Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
Few people share posts |
998 |
48.4% |
0.4835271 |
1 |
Many people share posts |
1066 |
51.6% |
0.5164729 |
Sysmiss |
|
4833 |
|
NA |
r9selexp2_vennskap_person1
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the relationship between the respondent and person 1.]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the relationship between the respondent and person 1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2064] [Invalid:4833]
[Range:0-2]
|
Value |
Label |
Cases |
Percentage |
|
0 |
You are close friends |
712 |
34.5% |
0.3449612 |
1 |
You are only acquaintances, but you have mutual friends |
664 |
32.2% |
0.3217054 |
2 |
You are only acquaintances (through work or school) |
688 |
33.3% |
0.3333333 |
Sysmiss |
|
4833 |
|
NA |
r9selexp2_vennskap_person2
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the relationship between the respondent and person 2.]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the relationship between the respondent and person 2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2064] [Invalid:4833]
[Range:0-2]
|
Value |
Label |
Cases |
Percentage |
|
0 |
You are close friends |
694 |
33.6% |
0.3362403 |
1 |
You are only acquaintances, but you have mutual friends |
711 |
34.4% |
0.3444767 |
2 |
You are only acquaintances (through work or school) |
659 |
31.9% |
0.3192829 |
Sysmiss |
|
4833 |
|
NA |
r9selexp2_enighet_person1
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the level of agreement political matters between the respondent
and person 1.]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the level of agreement political matters between the respondent
and person 1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2064] [Invalid:4833]
[Range:0-2]
|
Value |
Label |
Cases |
Percentage |
|
0 |
For the most part, you agree on political items |
668 |
32.4% |
0.3236434 |
1 |
For the most part, you disagree on political items |
658 |
31.9% |
0.3187984 |
2 |
To about the same extent, you agree and disagree on political items |
738 |
35.8% |
0.3575581 |
Sysmiss |
|
4833 |
|
NA |
r9selexp2_enighet_person2
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the level of agreement political matters between the respondent
and person 2.]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the level of agreement political matters between the respondent
and person 2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2064] [Invalid:4833]
[Range:0-2]
|
Value |
Label |
Cases |
Percentage |
|
0 |
For the most part, you agree on political items |
685 |
33.2% |
0.3318798 |
1 |
For the most part, you disagree on political items |
708 |
34.3% |
0.3430233 |
2 |
To about the same extent, you agree and disagree on political items |
671 |
32.5% |
0.3250969 |
Sysmiss |
|
4833 |
|
NA |
r9selexp2_diskuterer_person1
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses how frequent person 1 discusses or writes about politics. ]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses how frequent person 1 discusses or writes about politics. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2064] [Invalid:4833]
[Range:0-2]
|
Value |
Label |
Cases |
Percentage |
|
0 |
Often |
676 |
32.8% |
0.3275194 |
1 |
Sometimes |
722 |
35.0% |
0.3498062 |
2 |
Rarely or never |
666 |
32.3% |
0.3226744 |
Sysmiss |
|
4833 |
|
NA |
r9selexp2_diskuterer_person2
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses how frequent person 1 discusses or writes about politics. ]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses how frequent person 1 discusses or writes about politics. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2064] [Invalid:4833]
[Range:0-2]
|
Value |
Label |
Cases |
Percentage |
|
0 |
Often |
682 |
33.0% |
0.3304264 |
1 |
Sometimes |
666 |
32.3% |
0.3226744 |
2 |
Rarely or never |
716 |
34.7% |
0.3468992 |
Sysmiss |
|
4833 |
|
NA |
r9selexp2_omtale_person1
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses how person 1 describes the news item. ]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses how person 1 describes the news item. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2064] [Invalid:4833]
[Range:0-3]
|
Value |
Label |
Cases |
Percentage |
|
0 |
I could not have agreed more with this article! |
524 |
25.4% |
0.2538760 |
1 |
I could not have disagreed more with this article! |
531 |
25.7% |
0.2572674 |
2 |
This has to be the worst article I have ever read! |
523 |
25.3% |
0.2533915 |
3 |
This has to be the best article I have ever read! |
486 |
23.5% |
0.2354651 |
Sysmiss |
|
4833 |
|
NA |
r9selexp2_omtale_person2
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses how person 2 describes the news item. ]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses how person 2 describes the news item. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2064] [Invalid:4833]
[Range:0-3]
|
Value |
Label |
Cases |
Percentage |
|
0 |
I could not have agreed more with this article! |
512 |
24.8% |
0.2480620 |
1 |
I could not have disagreed more with this article! |
548 |
26.6% |
0.2655039 |
2 |
This has to be the worst article I have ever read! |
534 |
25.9% |
0.2587209 |
3 |
This has to be the best article I have ever read! |
470 |
22.8% |
0.2277132 |
Sysmiss |
|
4833 |
|
NA |
r9selexp2_overskrift_person1
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses a headline for the news item person 1 shared. ]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses a headline for the news item person 1 shared. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2064] [Invalid:4833]
[Range:1-756]
|
r9selexp2_overskrift_person2
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses a headline for the news item person 2 shared. ]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses a headline for the news item person 2 shared. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2064] [Invalid:4833]
[Range:1-756]
|
r9selexp2_kilde_person1
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the source of the news item that person 1 shared. ]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the source of the news item that person 1 shared. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2064] [Invalid:4833]
[Range:0-4]
|
Value |
Label |
Cases |
Percentage |
|
0 |
NRK |
441 |
21.4% |
0.2136628 |
1 |
TV2 |
382 |
18.5% |
0.1850775 |
2 |
Aftenposten |
422 |
20.4% |
0.2044574 |
3 |
Dagens Næringsliv |
404 |
19.6% |
0.1957364 |
4 |
Klassekampen |
415 |
20.1% |
0.2010659 |
Sysmiss |
|
4833 |
|
NA |
r9selexp2_kilde_person2
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the source of the news item that person 2 shared. ]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the source of the news item that person 2 shared. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2064] [Invalid:4833]
[Range:0-4]
|
Value |
Label |
Cases |
Percentage |
|
0 |
NRK |
428 |
20.7% |
0.2073643 |
1 |
TV2 |
433 |
21.0% |
0.2097868 |
2 |
Aftenposten |
366 |
17.7% |
0.1773256 |
3 |
Dagens Næringsliv |
396 |
19.2% |
0.1918605 |
4 |
Klassekampen |
441 |
21.4% |
0.2136628 |
Sysmiss |
|
4833 |
|
NA |
r9selexp2_sporsmal_0
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the question text order.]
|
Pre-question text:
|
[Indicates which version of the question that was asked first. The
version containing the value ‘0’ is asked first. Must be seen in
conjunction with r9selexp2_sporsmal_1]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the question text exposed to the respondent. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2064] [Invalid:4833]
[Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
First: Let’s say that you had to read one of the two shared news items. If you
didn't have more information than the above, which person would you choose to
get news from? |
1050 |
50.9% |
0.5087209 |
1 |
Second: Let's say you were forced to recommend one of the two news items
shared by these two, in a way that everyone else you are in contact with via
social media can see that you are sharing these posts. If you didn't have more
information than the [..] |
1014 |
49.1% |
0.4912791 |
Sysmiss |
|
4833 |
|
NA |
r9selexp2_sporsmal_1
Variable label:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the question text order ]
|
Pre-question text:
|
[Indicates which version of the question that was asked first. The
version containing the value ‘0’ is asked first. Must be seen in
conjunction with r9selexp2_sporsmal_0]
|
Technical description:
|
[Asked if x_ran=2. Background variable for conjoint experiment. Randomly
chooses the question text exposed to the respondent. ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:2064] [Invalid:4833]
[Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
First: Let's say you were forced to recommend one of the two news items
shared by these two, in a way that everyone else you are in contact with via
social media can see that you are sharing these posts. If you didn't have more
information than the [..] |
1014 |
49.1% |
0.4912791 |
1 |
Second: Let’s say that you had to read one of the two shared news items. If you
didn't have more information than the above, which person would you choose to
get news from? |
1050 |
50.9% |
0.5087209 |
Sysmiss |
|
4833 |
|
NA |
r9selexp2_1a
Variable label:
|
Description of two news items and the people who shared them. Excluded
r9selexp2_omtale.
|
Pre-question text:
|
We have described below two news items and the persons who have
shared them. Not everyone uses social media, but think of the two people
we have described as persons of your own age with whom you have contact
through the social media. Please read the description carefully and
answer the questions below.
[Printout of the value of the following variables, in radomized
order:
r9selexp2_kjonn_person1, r9selexp2_kjonn_person2,
r9selexp2_sprak_person1, r9selexp2_sprak_person2,
r9selexp2_kunnskap_person1, r9selexp_kunnskap_person2,
r9selexp2_popularitet_person1, r9selexp2_popularitet_person2,
r9selexp2_vennskap_person1, r9selexp2_vennskap_person2,
r9selexp2_enighet_person1, r9selexp2_enighet_person2,
r9selexp2_diskuterer_person1, r9selexp2_diskuterer_person2,
r9selexp2_overskrift_person1, r9selexp2_overskrift_person2,
r9selexp2_kilde_person1, r9selexp2_kilde_person2]
|
Literal question:
|
[First question. R9SELEXP2_sporsmal_0 or R9SELEXP2_sporsmal_1. See
instructions of R9SELEXP2_sporsmal]
|
Technical description:
|
[Asked if x_ran=2 and r9selexp2_ran=1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Person and case 1 |
528 |
51.4% |
0.51361868 |
2 |
Person and case 2 |
426 |
41.4% |
0.41439689 |
97 |
No answer |
74 |
7.2% |
0.07198444 |
98 |
Not asked |
5869 |
|
NA |
r9selexp2_1b
Variable label:
|
Description of two news items and the people who shared them. Excluded
r9selexp2_omtale.
|
Pre-question text:
|
We have described below two news items and the persons who have
shared them. Not everyone uses social media, but think of the two people
we have described as persons of your own age with whom you have contact
through the social media. Please read the description carefully and
answer the questions below.
[Printout of the value of the following variables, in radomized
order:
r9selexp2_kjonn_person1, r9selexp2_kjonn_person2,
r9selexp2_sprak_person1, r9selexp2_sprak_person2,
r9selexp2_kunnskap_person1 , r9selexp_kunnskap_person2,
r9selexp2_popularitet_person1, r9selexp2_popularitet_person2,
r9selexp2_vennskap_person1, r9selexp2_vennskap_person2,
r9selexp2_enighet_person1, r9selexp2_enighet_person2,
r9selexp2_diskuterer_person1, r9selexp2_diskuterer_person2,
r9selexp2_overskrift_person1, r9selexp2_overskrift_person2,
r9selexp2_kilde_person1, r9selexp2_kilde_person2]
|
Literal question:
|
[Second question. R9SELEXP2_sporsmal_0 or R9SELEXP2_sporsmal_1. See
instructions of R9SELEXP2_sporsmal]
|
Technical description:
|
[Asked if x_ran=2 and r9selexp2_ran=1.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Person and case 1 |
509 |
49.5% |
0.49513619 |
2 |
Person and case 2 |
430 |
41.8% |
0.41828794 |
97 |
No answer |
89 |
8.7% |
0.08657588 |
98 |
Not asked |
5869 |
|
NA |
r9selexp2_2a
Variable label:
|
Description of two news items and the people who shared them. Included
r9selexp2_omtale.
|
Pre-question text:
|
We have described below two news items and the persons who have
shared them. Not everyone uses social media, but think of the two people
we have described as persons of your own age with whom you have contact
through the social media. Please read the description carefully and
answer the questions below.
[Printout of the value of the following variables, in radomized
order:
r9selexp2_kjonn_person1, r9selexp2_kjonn_person2,
r9selexp2_sprak_person1, r9selexp2_sprak_person2,
r9selexp2_kunnskap_person1 , r9selexp_kunnskap_person2,
r9selexp2_popularitet_person1, r9selexp2_popularitet_person2,
r9selexp2_vennskap_person1, r9selexp2_vennskap_person2,
r9selexp2_enighet_person1, r9selexp2_enighet_person2,
r9selexp2_diskuterer_person1, r9selexp2_diskuterer_person2,
r9selexp2_omtale_person1, r9selexp2_omtale_person2,
r9selexp2_overskrift_person1, r9selexp2_overskrift_person2,
r9selexp2_kilde_person1, r9selexp2_kilde_person2]
|
Literal question:
|
[First question. R9SELEXP2_sporsmal_0 or R9SELEXP2_sporsmal_1. See
instructions of R9SELEXP2_sporsmal]
|
Technical description:
|
[Asked if x_ran=2 and r9selexp2_ran=2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Person and case 1 |
496 |
47.9% |
0.47876448 |
2 |
Person and case 2 |
458 |
44.2% |
0.44208494 |
97 |
No answer |
82 |
7.9% |
0.07915058 |
98 |
Not asked |
5861 |
|
NA |
r9selexp2_2b
Variable label:
|
Description of two news items and the people who shared them. Included
r9selexp2_omtale.
|
Pre-question text:
|
We have described below two news items and the persons who have
shared them. Not everyone uses social media, but think of the two people
we have described as persons of your own age with whom you have contact
through the social media. Please read the description carefully and
answer the questions below.
[Printout of the value of the following variables, in radomized
order:
r9selexp2_kjonn_person1, r9selexp2_kjonn_person2,
r9selexp2_sprak_person1, r9selexp2_sprak_person2,
r9selexp2_kunnskap_person1 , r9selexp_kunnskap_person2,
r9selexp2_popularitet_person1, r9selexp2_popularitet_person2,
r9selexp2_vennskap_person1, r9selexp2_vennskap_person2,
r9selexp2_enighet_person1, r9selexp2_enighet_person2,
r9selexp2_diskuterer_person1, r9selexp2_diskuterer_person2,
r9selexp2_omtale_person1, r9selexp2_omtale_person2,
r9selexp2_overskrift_person1, r9selexp2_overskrift_person2,
r9selexp2_kilde_person1, r9selexp2_kilde_person2]
|
Literal question:
|
[Second question. R9SELEXP2_sporsmal_0 or R9SELEXP2_sporsmal_1. See
instructions of R9SELEXP2_sporsmal]
|
Technical description:
|
[Asked if x_ran=2 and r9selexp2_ran=2.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Person and case 1 |
479 |
46.2% |
0.46235521 |
2 |
Person and case 2 |
461 |
44.5% |
0.44498069 |
97 |
No answer |
96 |
9.3% |
0.09266409 |
98 |
Not asked |
5861 |
|
NA |
r9k26
Variable label:
|
Highest completed education
|
Literal question:
|
What is your highest completed education?
|
Technical description:
|
[All respondents asked. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0]
[Range:1-15]
|
Value |
Label |
Cases |
Percentage |
|
1 |
No completed education |
41 |
0.6% |
0.005944614 |
2 |
Primary school (first part of compulsory education) |
52 |
0.8% |
0.007539510 |
3 |
Elementary school (primary, 7 year elementary school, continuation school,
secondary school) |
511 |
7.4% |
0.074090184 |
4 |
College certificate |
59 |
0.9% |
0.008554444 |
5 |
Completed upper secondary education, general studies/preparatory education
programme, oneyear post admission |
843 |
12.2% |
0.122227055 |
6 |
Completed upper secondary eduction, vocational subjects/education programmes
(qualifying examination, apprenticeship examination) |
810 |
11.7% |
0.117442366 |
7 |
Pre-university/college course that does not give credits |
75 |
1.1% |
0.010874293 |
8 |
Diploma from addition to upper secondary education (vocational, technical
college) |
221 |
3.2% |
0.032042917 |
9 |
University/university college, less than three years, but at least 2 years
(university college graduate 2 and 2½ year) |
716 |
10.4% |
0.103813252 |
10 |
Completed 3-4 year education from university college (Bachelor, teacher's
college, nursing college, pre-school teacher, engineer, business economist,
etc.) |
1354 |
19.6% |
0.196317239 |
11 |
Completed 3-4 year education from University (Bachelor) |
461 |
6.7% |
0.066840655 |
12 |
Completed 5-6 year education from university college (Master) |
552 |
8.0% |
0.080034798 |
13 |
Completed 5-6 year education from university (master, graduate), further
professional education (theologist, psychologist, physician, veterinarian,
engineer, architect, senior business economist) |
800 |
11.6% |
0.115992460 |
14 |
Research level (Ph.D.) |
148 |
2.1% |
0.021458605 |
15 |
None of these |
85 |
1.2% |
0.012324199 |
97 |
No answer |
169 |
2.5% |
0.024503407 |
r9k33
Variable label:
|
What applies best to what you have been doing for the last 7 days
|
Literal question:
|
Which of the following descriptions best applies to what you have been
doing for the last 7 days.
|
Post-question:
|
Select one option.
|
Technical description:
|
[Asked if rekruttert!=8. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-9]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Paid work (or temporarily absent) |
2393 |
57.1% |
0.570985445 |
2 |
Studying (not paid for by an employer) |
185 |
4.4% |
0.044142209 |
3 |
Unemployed and actively seeking work |
62 |
1.5% |
0.014793605 |
4 |
Unemployed, wanting a job, but not actively seeking work |
22 |
0.5% |
0.005249344 |
5 |
Permanently ill or disabled |
158 |
3.8% |
0.037699833 |
6 |
Retired |
1074 |
25.6% |
0.256263422 |
7 |
Military service |
5 |
0.1% |
0.001193033 |
8 |
At home, looking after children or others |
28 |
0.7% |
0.006680983 |
9 |
Other: |
173 |
4.1% |
0.041278931 |
97 |
No answer |
91 |
2.2% |
0.021713195 |
98 |
Not asked |
2706 |
|
NA |
r9k33_9_other
Variable label:
|
What applies best to what you have been doing for the last 7 days, Other
[Data withheld for the sake of anonymity]
|
Literal question:
|
Which of the following descriptions best applies to what you have been
doing for the last 7 days.
|
Post-question:
|
Merk av ett alternativ.
|
Technical description:
|
[Asked if rekruttert!=8. Background variable.]
[Text data will not be distributed due to privacy considerations.
However, data can be made available for researchers after contacting The
Norwegian Citizen Panel at University of Bergen.]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
r9k33_kodet
Variable label:
|
What applies best to what you have been doing for the last 7 days
[coded]
|
Literal question:
|
Which of the following descriptions best applies to what you have been
doing for the last 7 days.
|
Post-question:
|
Select one option.
|
Technical description:
|
[Asked if rekruttert!=8. Background variable.]
[This variable contains the values of r9k33 plus coded values of
r9k33_9_other]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-9]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Paid work (or temporarily absent) |
2440 |
58.2% |
0.582199952 |
2 |
Studying (not paid for by an employer) |
189 |
4.5% |
0.045096636 |
3 |
Unemployed and actively seeking work |
63 |
1.5% |
0.015032212 |
4 |
Unemployed, wanting a job, but not actively seeking work |
22 |
0.5% |
0.005249344 |
5 |
Permanently ill or disabled |
175 |
4.2% |
0.041756144 |
6 |
Retired |
1082 |
25.8% |
0.258172274 |
7 |
Military service |
5 |
0.1% |
0.001193033 |
8 |
At home, looking after children or others |
29 |
0.7% |
0.006919590 |
9 |
Other: |
96 |
2.3% |
0.022906228 |
97 |
No answer |
90 |
2.1% |
0.021474588 |
98 |
Not asked |
2706 |
|
NA |
r9k34_1
Variable label:
|
What industry do you work in: Public central administration
|
Literal question:
|
What industry do you (your company) work in?
|
Post-question:
|
It is possible to mark more than one answer.
|
Technical description:
|
[Asked if rekruttert!=8 and r9k33=1. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Public central administration |
253 |
10.6% |
0.1057250313 |
97 |
No answer |
1 |
0.0% |
0.0004178855 |
98 |
Not asked |
4504 |
|
NA |
0 |
|
2139 |
89.4% |
0.8938570832 |
r9k34_2
Variable label:
|
What industry do you work in: Kindergarten/school/teaching
|
Literal question:
|
What industry do you (your company) work in?
|
Post-question:
|
It is possible to mark more than one answer.
|
Technical description:
|
[Asked if rekruttert!=8 and r9k33=1. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Kindergarten/school/teaching |
342 |
14.3% |
0.1429168408 |
97 |
No answer |
1 |
0.0% |
0.0004178855 |
98 |
Not asked |
4504 |
|
NA |
0 |
|
2050 |
85.7% |
0.8566652737 |
r9k34_3
Variable label:
|
What industry do you work in: Health services
|
Literal question:
|
What industry do you (your company) work in?
|
Post-question:
|
It is possible to mark more than one answer.
|
Technical description:
|
[Asked if rekruttert!=8 and r9k33=1. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Health services |
320 |
13.4% |
0.1337233598 |
97 |
No answer |
1 |
0.0% |
0.0004178855 |
98 |
Not asked |
4504 |
|
NA |
0 |
|
2072 |
86.6% |
0.8658587547 |
r9k34_4
Variable label:
|
What industry do you work in: Social services/child protection
|
Literal question:
|
What industry do you (your company) work in?
|
Post-question:
|
It is possible to mark more than one answer.
|
Technical description:
|
[Asked if rekruttert!=8 and r9k33=1. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Social services/child protection |
57 |
2.4% |
0.0238194735 |
97 |
No answer |
1 |
0.0% |
0.0004178855 |
98 |
Not asked |
4504 |
|
NA |
0 |
|
2335 |
97.6% |
0.9757626410 |
r9k34_5
Variable label:
|
What industry do you work in: Nursing and care services
|
Literal question:
|
What industry do you (your company) work in?
|
Post-question:
|
It is possible to mark more than one answer.
|
Technical description:
|
[Asked if rekruttert!=8 and r9k33=1. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Nursing and care services |
118 |
4.9% |
0.0493104889 |
97 |
No answer |
1 |
0.0% |
0.0004178855 |
98 |
Not asked |
4504 |
|
NA |
0 |
|
2274 |
95.0% |
0.9502716256 |
r9k34_6
Variable label:
|
What industry do you work in: Defence/police/judicial system/security
|
Literal question:
|
What industry do you (your company) work in?
|
Post-question:
|
It is possible to mark more than one answer.
|
Technical description:
|
[Asked if rekruttert!=8 and r9k33=1. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Defence/police/judicial system/security |
52 |
2.2% |
0.0217300460 |
97 |
No answer |
1 |
0.0% |
0.0004178855 |
98 |
Not asked |
4504 |
|
NA |
0 |
|
2340 |
97.8% |
0.9778520685 |
r9k34_7
Variable label:
|
What industry do you work in: Agriculture/forestry/fishing
|
Literal question:
|
What industry do you (your company) work in?
|
Post-question:
|
It is possible to mark more than one answer.
|
Technical description:
|
[Asked if rekruttert!=8 and r9k33=1. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Agriculture/forestry/fishing |
61 |
2.5% |
0.0254910155 |
97 |
No answer |
1 |
0.0% |
0.0004178855 |
98 |
Not asked |
4504 |
|
NA |
0 |
|
2331 |
97.4% |
0.9740910990 |
r9k34_8
Variable label:
|
What industry do you work in: Industry/technology
|
Literal question:
|
What industry do you (your company) work in?
|
Post-question:
|
It is possible to mark more than one answer.
|
Technical description:
|
[Asked if rekruttert!=8 and r9k33=1. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Industry/technology |
167 |
7.0% |
0.0697868784 |
97 |
No answer |
1 |
0.0% |
0.0004178855 |
98 |
Not asked |
4504 |
|
NA |
0 |
|
2225 |
93.0% |
0.9297952361 |
r9k34_9
Variable label:
|
What industry do you work in: Building/construction
|
Literal question:
|
What industry do you (your company) work in?
|
Post-question:
|
It is possible to mark more than one answer.
|
Technical description:
|
[Asked if rekruttert!=8 and r9k33=1. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Building/construction |
204 |
8.5% |
0.0852486419 |
97 |
No answer |
1 |
0.0% |
0.0004178855 |
98 |
Not asked |
4504 |
|
NA |
0 |
|
2188 |
91.4% |
0.9143334726 |
r9k34_10
Variable label:
|
What industry do you work in: Retailing/shop
|
Literal question:
|
What industry do you (your company) work in?
|
Post-question:
|
It is possible to mark more than one answer.
|
Technical description:
|
[Asked if rekruttert!=8 and r9k33=1. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Retailing/shop |
139 |
5.8% |
0.0580860844 |
97 |
No answer |
1 |
0.0% |
0.0004178855 |
98 |
Not asked |
4504 |
|
NA |
0 |
|
2253 |
94.1% |
0.9414960301 |
r9k34_11
Variable label:
|
What industry do you work in: Transport/communications
|
Literal question:
|
What industry do you (your company) work in?
|
Post-question:
|
It is possible to mark more than one answer.
|
Technical description:
|
[Asked if rekruttert!=8 and r9k33=1. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Transport/communications |
126 |
5.3% |
0.0526535729 |
97 |
No answer |
1 |
0.0% |
0.0004178855 |
98 |
Not asked |
4504 |
|
NA |
0 |
|
2266 |
94.7% |
0.9469285416 |
r9k34_12
Variable label:
|
What industry do you work in: Culture/sport/organisations
|
Literal question:
|
What industry do you (your company) work in?
|
Post-question:
|
It is possible to mark more than one answer.
|
Technical description:
|
[Asked if rekruttert!=8 and r9k33=1. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Culture/sport/organisations |
75 |
3.1% |
0.0313414125 |
97 |
No answer |
1 |
0.0% |
0.0004178855 |
98 |
Not asked |
4504 |
|
NA |
0 |
|
2317 |
96.8% |
0.9682407020 |
r9k34_13
Variable label:
|
What industry do you work in: Media/advertising/PR/information
|
Literal question:
|
What industry do you (your company) work in?
|
Post-question:
|
It is possible to mark more than one answer.
|
Technical description:
|
[Asked if rekruttert!=8 and r9k33=1. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Media/advertising/PR/information |
67 |
2.8% |
0.0279983285 |
97 |
No answer |
1 |
0.0% |
0.0004178855 |
98 |
Not asked |
4504 |
|
NA |
0 |
|
2325 |
97.2% |
0.9715837860 |
r9k34_14
Variable label:
|
What industry do you work in: Research/analysis
|
Literal question:
|
What industry do you (your company) work in?
|
Post-question:
|
It is possible to mark more than one answer.
|
Technical description:
|
[Asked if rekruttert!=8 and r9k33=1. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Research/analysis |
106 |
4.4% |
0.0442958629 |
97 |
No answer |
1 |
0.0% |
0.0004178855 |
98 |
Not asked |
4504 |
|
NA |
0 |
|
2286 |
95.5% |
0.9552862516 |
r9k34_15
Variable label:
|
What industry do you work in: Travel/hotels
|
Literal question:
|
What industry do you (your company) work in?
|
Post-question:
|
It is possible to mark more than one answer.
|
Technical description:
|
[Asked if rekruttert!=8 and r9k33=1. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Travel/hotels |
32 |
1.3% |
0.0133723360 |
97 |
No answer |
1 |
0.0% |
0.0004178855 |
98 |
Not asked |
4504 |
|
NA |
0 |
|
2360 |
98.6% |
0.9862097785 |
r9k34_16
Variable label:
|
What industry do you work in: Restaurants/catering
|
Literal question:
|
What industry do you (your company) work in?
|
Post-question:
|
It is possible to mark more than one answer.
|
Technical description:
|
[Asked if rekruttert!=8 and r9k33=1. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Restaurants/catering |
18 |
0.8% |
0.0075219390 |
97 |
No answer |
1 |
0.0% |
0.0004178855 |
98 |
Not asked |
4504 |
|
NA |
0 |
|
2374 |
99.2% |
0.9920601755 |
r9k34_17
Variable label:
|
What industry do you work in: Telecommunications/IT
|
Literal question:
|
What industry do you (your company) work in?
|
Post-question:
|
It is possible to mark more than one answer.
|
Technical description:
|
[Asked if rekruttert!=8 and r9k33=1. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Telecommunications/IT |
121 |
5.1% |
0.0505641454 |
97 |
No answer |
1 |
0.0% |
0.0004178855 |
98 |
Not asked |
4504 |
|
NA |
0 |
|
2271 |
94.9% |
0.9490179691 |
r9k34_18
Variable label:
|
What industry do you work in: Banking/insurance/finance
|
Literal question:
|
What industry do you (your company) work in?
|
Post-question:
|
It is possible to mark more than one answer.
|
Technical description:
|
[Asked if rekruttert!=8 and r9k33=1. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Banking/insurance/finance |
88 |
3.7% |
0.0367739239 |
97 |
No answer |
1 |
0.0% |
0.0004178855 |
98 |
Not asked |
4504 |
|
NA |
0 |
|
2304 |
96.3% |
0.9628081906 |
r9k34_19
Variable label:
|
What industry do you work in: Commercial services
|
Literal question:
|
What industry do you (your company) work in?
|
Post-question:
|
It is possible to mark more than one answer.
|
Technical description:
|
[Asked if rekruttert!=8 and r9k33=1. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Commercial services |
130 |
5.4% |
0.0543251149 |
97 |
No answer |
1 |
0.0% |
0.0004178855 |
98 |
Not asked |
4504 |
|
NA |
0 |
|
2262 |
94.5% |
0.9452569996 |
r9k34_20
Variable label:
|
What industry do you work in: Oil/gas
|
Literal question:
|
What industry do you (your company) work in?
|
Post-question:
|
It is possible to mark more than one answer.
|
Technical description:
|
[Asked if rekruttert!=8 and r9k33=1. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Oil/gas |
120 |
5.0% |
0.0501462599 |
97 |
No answer |
1 |
0.0% |
0.0004178855 |
98 |
Not asked |
4504 |
|
NA |
0 |
|
2272 |
94.9% |
0.9494358546 |
r9k34_21
Variable label:
|
What industry do you work in: Other
|
Literal question:
|
What industry do you (your company) work in?
|
Post-question:
|
It is possible to mark more than one answer.
|
Technical description:
|
[Asked if rekruttert!=8 and r9k33=1. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Other |
180 |
7.5% |
0.0752193899 |
97 |
No answer |
1 |
0.0% |
0.0004178855 |
98 |
Not asked |
4504 |
|
NA |
0 |
|
2212 |
92.4% |
0.9243627246 |
r9k34_21_other
Variable label:
|
What industry do you work in: Other [Data withheld for the sake of
anonymity]
|
Literal question:
|
What industry do you (your company) work in?
|
Technical description:
|
[Asked if rekruttert!=8 and r9k33=1. Background variable.]
[Text data will not be distributed due to privacy considerations.
However, data can be made available for researchers after contacting The
Norwegian Citizen Panel at University of Bergen.]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
r9k21_filter
Variable label:
|
[Defines respondents that were recruited in wave 8 and answered ‘paid
work’ on R8K33.]
|
Technical description:
|
[Background variabel for r9k21.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
Did not answer "paid work " on R8K33 |
5405 |
78.4% |
0.7836741 |
1 |
Answered "paid work " on R8K33 |
1492 |
21.6% |
0.2163259 |
r9k21
Variable label:
|
Which type of business do you work in?
|
Literal question:
|
Which type of business do you work in?
|
Technical description:
|
[Asked if R9K33=1 or R9_r8k33filter=1. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
1 |
State, county or municipal administration |
484 |
12.5% |
0.124581725 |
2 |
Public sector (e.g. school and health services) |
1116 |
28.7% |
0.287258687 |
3 |
Publicly owned enterprise |
228 |
5.9% |
0.058687259 |
4 |
Private business |
1714 |
44.1% |
0.441184041 |
5 |
Self-employed |
193 |
5.0% |
0.049678250 |
6 |
Other: |
118 |
3.0% |
0.030373230 |
97 |
No answer |
32 |
0.8% |
0.008236808 |
98 |
Not asked |
3012 |
|
NA |
r9k21_6_other
Variable label:
|
Which type of business do you work in? Other [Data withheld for the sake
of anonymity]
|
Literal question:
|
Which type of business do you work in?
|
Technical description:
|
[Asked if R9K33=1 or R9_r8k33filter=1. Background variable.]
[Text data will not be distributed due to privacy considerations.
However, data can be made available for researchers after contacting The
Norwegian Citizen Panel at University of Bergen.]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
r9k21_kodet
Variable label:
|
Which type of business do you work in? [coded]
|
Literal question:
|
Which type of business do you work in?
|
Technical description:
|
[Asked if R9K33=1 or R9_r8k33filter=1. Background variable.]
[This variable contains the values of r9k21 plus coded values of
r9k21_6_other]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
1 |
State, county or municipal administration |
484 |
12.5% |
0.124581725 |
2 |
Public sector (e.g. school and health services) |
1119 |
28.8% |
0.288030888 |
3 |
Publicly owned enterprise |
230 |
5.9% |
0.059202059 |
4 |
Private business |
1721 |
44.3% |
0.442985843 |
5 |
Self-employed |
193 |
5.0% |
0.049678250 |
6 |
Other: |
106 |
2.7% |
0.027284427 |
97 |
No answer |
32 |
0.8% |
0.008236808 |
98 |
Not asked |
3012 |
|
NA |
r9k24a
Variable label:
|
Is you workplace in/closely associated with the oil/gas industry?
|
Literal question:
|
Is your workplace in the oil and gas industry, or closely associated
with it?
|
Technical description:
|
[Asked if rekruttert!=8 and r9k33=1 and r9k34_20!=1. Background
variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Yes, I work for the oil and gas industry |
5 |
0.2% |
0.002199736 |
2 |
Yes, my work is closely associated with the oil and gas industry |
53 |
2.3% |
0.023317202 |
3 |
No, but previously I have worked in, or closely associated with, the oil/gas
industry |
109 |
4.8% |
0.047954245 |
4 |
No |
2101 |
92.4% |
0.924329081 |
97 |
No answer |
5 |
0.2% |
0.002199736 |
98 |
Not asked |
4624 |
|
NA |
r9k24_1_1
Variable label:
|
When did your first job in the oil/gas industry begin? [Data withheld
for the sake of anonymity]
|
Literal question:
|
When did your first job in the oil or gas industry begin (or your first
job closely affiliated with the oil and gas industry)?
|
Post-question:
|
Indicate the year to the best of your memory.
|
Technical description:
|
[Asked if rekruttert!=8 and R9k24a is answered and R9k24a!=4 or
R9K34_20=1. Background variable.]
[Text data will not be distributed due to privacy considerations.
However, data can be made available for researchers after contacting The
Norwegian Citizen Panel at University of Bergen.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:0] [Invalid:6897]
[Range:-]
|
r9k24_1_comment
Variable label:
|
Comments relating to your first job in the oil/gas industry [Data
withheld for the sake of anonymity]
|
Literal question:
|
You can write any comments you might have here:
|
Technical description:
|
[Asked if rekruttert!=8 and R9k24a is answered and R9k24a!=4 or
R9K34_20=1. Background variable.]
[Text data will not be distributed due to privacy considerations.
However, data can be made available for researchers after contacting The
Norwegian Citizen Panel at University of Bergen.]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
r9k25
Variable label:
|
Gross annual income
|
Pre-question text:
|
What is your current income?
|
Literal question:
|
Gross annual income is:
|
Technical description:
|
[Asked if rekruttert!=8. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-8]
|
Value |
Label |
Cases |
Percentage |
|
1 |
<150 000 |
245 |
5.8% |
0.05845860 |
2 |
150 001 - 300 000 |
535 |
12.8% |
0.12765450 |
3 |
300 001 - 400 000 |
672 |
16.0% |
0.16034359 |
4 |
400 001 - 500 000 |
830 |
19.8% |
0.19804343 |
5 |
500 001 - 600 000 |
656 |
15.7% |
0.15652589 |
6 |
600 001 - 700 000 |
415 |
9.9% |
0.09902171 |
7 |
700 001 - 1 000 000 |
440 |
10.5% |
0.10498688 |
8 |
>1 000 000 |
228 |
5.4% |
0.05440229 |
97 |
No answer |
170 |
4.1% |
0.04056311 |
98 |
Not asked |
2706 |
|
NA |
r9hp1
Variable label:
|
Your health
|
Literal question:
|
In general, would you say your health is:
|
Technical description:
|
[Asked if rekruttert!=8. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Excellent |
596 |
14.2% |
0.14220950 |
2 |
Very good |
1524 |
36.4% |
0.36363636 |
3 |
Good |
1362 |
32.5% |
0.32498210 |
4 |
Somewhat good |
458 |
10.9% |
0.10928179 |
5 |
Poor |
139 |
3.3% |
0.03316631 |
97 |
No answer |
112 |
2.7% |
0.02672393 |
98 |
Not asked |
2706 |
|
NA |
r9k27
Variable label:
|
Marital status
|
Pre-question text:
|
Marital status.
|
Literal question:
|
Please click whichever alternative is most applicable.
|
Technical description:
|
[Asked if rekruttert!=8. Background variable.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-9]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Never been married |
442 |
10.5% |
0.1054640897 |
2 |
Married |
2367 |
56.5% |
0.5647816750 |
3 |
Legally registered partner |
7 |
0.2% |
0.0016702458 |
4 |
Cohabitant |
696 |
16.6% |
0.1660701503 |
5 |
Divorced/separated |
321 |
7.7% |
0.0765926986 |
6 |
Former cohabitant |
105 |
2.5% |
0.0250536865 |
7 |
Former legally registered partner |
2 |
0.0% |
0.0004772131 |
8 |
Widow/widower |
121 |
2.9% |
0.0288713911 |
9 |
Other: |
43 |
1.0% |
0.0102600811 |
97 |
No answer |
87 |
2.1% |
0.0207587688 |
98 |
Not asked |
2706 |
|
NA |
r9k27_9_other
Variable label:
|
Marital status, other [Data withheld for the sake of anonymity]
|
Pre-question text:
|
Marital status.
|
Literal question:
|
Please click whichever alternative is most applicable.
|
Technical description:
|
[Asked if rekruttert!=8. Background variable.]
[Text data will not be distributed due to privacy considerations.
However, data can be made available for researchers after contacting The
Norwegian Citizen Panel at University of Bergen.]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
r9k27_kodet
Variable label:
|
Marital status [coded]
|
Pre-question text:
|
Marital status.
|
Literal question:
|
Please click whichever alternative is most applicable.
|
Technical description:
|
[Asked if rekruttert!=8. Background variable.]
[This variable contains the values of r9k27 plus coded values of
r9k27_9_other]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-9]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Never been married |
469 |
11.2% |
0.1119064662 |
2 |
Married |
2367 |
56.5% |
0.5647816750 |
3 |
Legally registered partner |
7 |
0.2% |
0.0016702458 |
4 |
Cohabitant |
696 |
16.6% |
0.1660701503 |
5 |
Divorced/separated |
323 |
7.7% |
0.0770699117 |
6 |
Former cohabitant |
105 |
2.5% |
0.0250536865 |
7 |
Former legally registered partner |
2 |
0.0% |
0.0004772131 |
8 |
Widow/widower |
123 |
2.9% |
0.0293486042 |
9 |
Other: |
12 |
0.3% |
0.0028632785 |
97 |
No answer |
87 |
2.1% |
0.0207587688 |
98 |
Not asked |
2706 |
|
NA |
r9qreview1
Variable label:
|
Satisfied with the survey
|
Pre-question text:
|
We are interested in knowing more about how participants perceive our
surveys.
|
Literal question:
|
All in all, how satisfied are you with the survey?
|
Technical description:
|
[All respondents asked.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very satisfied |
889 |
12.9% |
0.128896622 |
2 |
Satisfied |
4528 |
65.7% |
0.656517326 |
3 |
Somewhat satisfied |
1124 |
16.3% |
0.162969407 |
4 |
Slightly satisfied |
153 |
2.2% |
0.022183558 |
5 |
Not satisfied at all |
29 |
0.4% |
0.004204727 |
97 |
Not answered |
174 |
2.5% |
0.025228360 |
avslutt
Variable label:
|
Feedback on the survey [Data withheld for the sake of anonymity]
|
Pre-question text:
|
Thank you very much for your participation in the Citizens’ Panel! Your
answers are analyzed by Norwegian and international researchers, and are
therefore a useful contribution to social research. The 25,000 travel
gift card winner will be contacted as soon as the survey has closed.
|
Literal question:
|
Is there anything you wish to give feedback on in connection with the
survey?
|
Post-question:
|
If so, you can write it here:
|
Technical description:
|
[Text data will not be distributed due to privacy considerations.
However, data can be made available for researchers after contacting The
Norwegian Citizen Panel at University of Bergen.]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:6897] [Invalid:0]
[Range:-]
|
tid_brukt
Variable label:
|
[Respondents time usage.]
|
Technical description:
|
[Respondents time usage.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6724] [Invalid:173]
[Range:1-33284]
|
R9P1
Variable label:
|
Gender
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Male |
3477 |
50.4% |
0.5041322 |
2 |
Female |
3420 |
49.6% |
0.4958678 |
R9P2
Variable label:
|
Region
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Oslo/Akershus |
1943 |
28.2% |
0.28171669 |
2 |
Østlandet |
1655 |
24.0% |
0.23995940 |
3 |
Sørlandet |
335 |
4.9% |
0.04857184 |
4 |
Vestlandet |
1816 |
26.3% |
0.26330289 |
5 |
Trøndelag |
615 |
8.9% |
0.08916920 |
6 |
Nord-Norge |
533 |
7.7% |
0.07727998 |
R9P3
Variable label:
|
County
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0]
[Range:1-19]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Akershus |
868 |
12.6% |
0.125851820 |
2 |
Oslo |
1075 |
15.6% |
0.155864869 |
3 |
Østfold |
360 |
5.2% |
0.052196607 |
4 |
Vestfold |
313 |
4.5% |
0.045382050 |
5 |
Hedmark |
209 |
3.0% |
0.030303030 |
6 |
Oppland |
205 |
3.0% |
0.029723068 |
7 |
Buskerud |
360 |
5.2% |
0.052196607 |
8 |
Telemark |
208 |
3.0% |
0.030158040 |
9 |
Vest-Agder |
205 |
3.0% |
0.029723068 |
10 |
Aust-Agder |
130 |
1.9% |
0.018848775 |
11 |
Rogaland |
645 |
9.4% |
0.093518921 |
12 |
Hordaland |
767 |
11.1% |
0.111207771 |
13 |
Sogn og Fjordane |
123 |
1.8% |
0.017833841 |
14 |
Møre og Romsdal |
281 |
4.1% |
0.040742352 |
15 |
Sør-Trøndelag |
476 |
6.9% |
0.069015514 |
16 |
Nord-Trøndelag |
139 |
2.0% |
0.020153690 |
17 |
Nordland |
265 |
3.8% |
0.038422503 |
18 |
Troms |
200 |
2.9% |
0.028998115 |
19 |
Finmark |
68 |
1.0% |
0.009859359 |
R9P4_1
Variable label:
|
Highest level of completed education
|
Technical description:
|
[This variable is a recode of R8P4_2]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
No education/elementary school |
627 |
9.1% |
0.09090909 |
2 |
Upper secondary eduction |
2001 |
29.0% |
0.29012614 |
3 |
University/university college |
4090 |
59.3% |
0.59301145 |
97 |
No answer |
179 |
2.6% |
0.02595331 |
R9P4_2
Variable label:
|
Highest level of completed education
|
Technical description:
|
[This variable is a compilation of w01_k26, w03_r3k26, r4k26, r5k26,
r6k26, r8k26 and r9k26. Newest value is always applied.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0]
[Range:1-15]
|
Value |
Label |
Cases |
Percentage |
|
1 |
No completed education |
43 |
0.6% |
0.006234595 |
2 |
Primary school (first part of compulsory education) |
53 |
0.8% |
0.007684501 |
3 |
Elementary school (primary, 7 year elementary school, continuation school,
secondary school) |
531 |
7.7% |
0.076989996 |
4 |
College certificate |
64 |
0.9% |
0.009279397 |
5 |
Completed upper secondary education, general studies/preparatory education
programme, one-year post admission |
870 |
12.6% |
0.126141801 |
6 |
Completed upper secondary eduction, vocational subjects/education programmes
(qualifying examination, apprenticeship examination) |
833 |
12.1% |
0.120777149 |
7 |
Pre-university/college course that does not give credits |
75 |
1.1% |
0.010874293 |
8 |
Diploma from addition to upper secondary education (vocational, technical
college) |
223 |
3.2% |
0.032332898 |
9 |
University/university college, less than three years, but at least 2 years
(university college graduate 2 and 2½ year) |
729 |
10.6% |
0.105698130 |
10 |
Completed 3-4 year education from university college (Bachelor, teacher's
college, nursing college, pre-school teacher, engineer, business economist,
etc.) |
1376 |
20.0% |
0.199507032 |
11 |
Completed 3-4 year education from University (Bachelor) |
467 |
6.8% |
0.067710599 |
12 |
Completed 5-6 year education from university college (Master) |
559 |
8.1% |
0.081049732 |
13 |
Completed 5-6 year education from university (master, graduate), further
professional education (theologist, psychologist, physician, veterinarian,
engineer, architect, senior business economist) |
808 |
11.7% |
0.117152385 |
14 |
Research level (Ph.D.) |
151 |
2.2% |
0.021893577 |
15 |
None of these |
96 |
1.4% |
0.013919095 |
97 |
No answer |
19 |
0.3% |
0.002754821 |
R9P5_1
Variable label:
|
Year of birth
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
1939 or earlier |
244 |
3.5% |
0.0353777 |
2 |
1940-1949 |
1227 |
17.8% |
0.1779034 |
3 |
1950-1959 |
1570 |
22.8% |
0.2276352 |
4 |
1960-1969 |
1423 |
20.6% |
0.2063216 |
5 |
1970-1979 |
1051 |
15.2% |
0.1523851 |
6 |
1980-1989 |
820 |
11.9% |
0.1188923 |
7 |
1990 or later |
562 |
8.1% |
0.0814847 |
R9P5_2
Variable label:
|
Year of birth
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
1959 or earlier |
3041 |
44.1% |
0.4409163 |
2 |
1960-1989 |
3294 |
47.8% |
0.4775990 |
3 |
1990 or later |
562 |
8.1% |
0.0814847 |
r9Weight1
Variable label:
|
Weight based on variables P3, P5_2 and P1. See documentation report
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-4]
|
r9Weight2
Variable label:
|
Weight based on variables P3, P5_2, P1 and B3_1 . See documentation
report
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0]
[Range:0-18]
|
r9Weight4
Variable label:
|
Weight based on variables P1, P2, P4_1 (Note! recoded to two-level: 1)
upper secondary and lower, and 2) University/University college), and
age. Similiar to Weight2 only with capped weight value (x is >= .2
and x <= 5).
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:6897] [Invalid:0] [Range:0-5]
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