Citation
Primary investigators
Name
|
Affiliation
|
Elisabeth Ivarsflaten
|
UiB
|
Stefan Dahlberg
|
UiB
|
Erla Løvseth
|
UiB
|
Hege Høivik Bye
|
UiB
|
Lise Lund Bjånesøy
|
UiB
|
Gisela Böhm
|
UiB
|
Dag Elgesem
|
UiB
|
Thea Gregersen
|
UiB
|
Anne Lise Fimreite
|
UiB
|
Arjan Hille Schakel
|
UiB
|
Åsta Dyrnes Nordø
|
NORCE
|
Erik Knudsen
|
UiB
|
Soran Hajo Dahl
|
UiB
|
Ingrid Kvåle Faleide
|
UiB
|
Coordinating team
Name
|
Erla Løvseth
|
Ingrid Kvåle Faleide
|
Soran Hajo Dahl
|
Producers
Name
|
Affiliation
|
Role
|
Øivind Skjervheim
|
ideas2evidence
|
Coordinator
|
Olav Bjørnebekk
|
ideas2evidence
|
Project team member
|
Amund Eikrem
|
ideas2evidence
|
Project team member
|
Joachim Wettergreen
|
ideas2evidence
|
Project team member
|
Asle Høgestøl
|
ideas2evidence
|
Quality assurance
|
Study Description
Abstract
The Norwegian Citizen Panel is a platform for internet surveys of public
opinion in important areas of society and politics in Norway.
Participants are randomly recruited from the Norwegian population
register, and they are encouraged to participate over time. The panel
was fielded for the first time in 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
Universe: Norwegian Citizens above
the age of 18.
Methodology
Sampling procedure
Members of the Norwegian Citizen Panel have been recruited in seven
waves:
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
11, 2 069 panel members were recruited (see documentation from wave
11).
In wave 14, 2 036 panel members were recruited (see
documentation from wave 14).
In wave 16, 5 163 panel members were
recruited (see documentation from wave 16).
In wave 18, 2 048
panel members were recruited (see documentation from wave 18).
In wave 1 and 3 a gross sample of 25 000 individuals was randomly drawn
from the Norwegian National Population Registry, while in wave 8 the
gross sample amounted to 22 000 individuals. In wave 11, 14, and 18, a
corresponding gross sample of 14 000 people was drawn. In wave 16, the
gross sample was 34 000.
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.
The extracted data was a) last name, b) first name, c) address, d)
gender, e) age, and f) phone number. The sample excluded people with no
current home address in Norway.
Mode of Data Collection
The survey is based on a web-based questionnaire with postal
recruitment. Please refer to documentation and other information from
previous waves:
https://nsd.no/nsddata/serier/norsk_medborgerpanel_eng.html
In wave 21, emails were sent out on 26th of May, 2021.
An e-mail with reminder was sent out three times, June 2nd, June 6th,
and Juni 11th, respectively, to respondents who: a) had not logged in to
the survey, or b) had not completed the survey. Panel members with
registered mobile numbers received the last reminder via text message.
Panel members without registered phone number were reminded by e-mail.
Wave 21 ended on June 15th 2021.
Weighting
To compensate for 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 strata are listed in the
documentation report. When calculating the weights, the information
regarding the respondent’s geographical location, gender and age are
based on registry data. These attributes were included in the sample
file we received from the Norwegian Population Register. Information
regarding the level of education is provided by the respondents when
answering the questionnaire.
Two different weights have been calculated:
-
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. In other words, the weights are calculated
using the whole dataset. NCP has an extensive use of (randomized)
sub-groups, which might alter the demographic profile of the sub-group
compared to the whole dataset. If custom weights are necessary, variable
columns are included in the dataset that indicates the proportion size
of strata in the population.
Note: In 2018 NCP changed the age variables in the datasets in order to
make the respondents less identifiable. The weights are calculated with
the old age variables, which no longer are publically available.
Change Log
Version
|
Release date / Date changed
|
Variable
|
Changes and notes
|
v-101
|
2023-11-22
|
NA
|
Revised
release of round 21
|
NA
|
2023-10-25
|
r21Weight4
|
New
variable: Added r21Weight4
|
NA
|
2023-10-25
|
r21Weight4
|
Variable
documentation inserted
|
v-101
|
2023-10-25
|
NA
|
Revised
release of round 21
|
v-100
|
2021-07-01
|
NA
|
Initial
release of round 21
|
Dataset contents
File name
|
Norwegian Citizen Panel - round 21 - v-101-O.sav
|
Distribution type
|
Public
|
# Cases
|
10040
|
# Variables
|
324
|
Variable Documentation
responseid
Variable label:
|
responseid
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:10040] [Invalid:0]
[Range:-]
|
r21rekruttert
Variable label:
|
[The wave the respondent was recruited]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-18]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Round 1 |
1455 |
14.5% |
0.14492032 |
3 |
Round 3 |
1581 |
15.7% |
0.15747012 |
8 |
Round 8 |
1539 |
15.3% |
0.15328685 |
11 |
Round 11 |
907 |
9.0% |
0.09033865 |
14 |
Round 14 |
928 |
9.2% |
0.09243028 |
16 |
Round 16 |
2538 |
25.3% |
0.25278884 |
18 |
Round 18 |
1092 |
10.9% |
0.10876494 |
r21group
Variable label:
|
[Randomization of sub-groups]
|
Technical description:
|
Randomized for all respondents
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Group 1 |
1989 |
19.8% |
0.1981076 |
2 |
Group 2 |
2030 |
20.2% |
0.2021912 |
3 |
Group 3 |
1941 |
19.3% |
0.1933267 |
4 |
Group 4 |
2023 |
20.1% |
0.2014940 |
5 |
Group 5 |
2057 |
20.5% |
0.2048805 |
r21interview_start
Variable label:
|
[Date and time of when the respondent first opened the questionnaire.
Excel-format.]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:10040] [Invalid:0]
[Range:-]
|
r21interview_end
Variable label:
|
[Date and time of when the respondent completed the questionnaire.
Excel-format.]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:9210] [Invalid:830]
[Range:-]
|
r21browsertype
Variable label:
|
[Browertype used by respondent]
|
Technical description:
|
[Browertype used by respondent]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:10040] [Invalid:0]
[Range:-]
|
r21browserversion
Variable label:
|
[Browser version used by respondent]
|
Technical description:
|
[Browser version used by respondent]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:10040] [Invalid:0]
[Range:-]
|
r21mobil
Variable label:
|
[Determines if the respondents uses mobile ]
|
Technical description:
|
[Determines if the respondents uses mobile ]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
Other |
5586 |
55.6% |
0.5563745 |
1 |
Mobile |
4454 |
44.4% |
0.4436255 |
r21opplosning
Variable label:
|
[Screen resolution of the applied device]
|
Technical description:
|
[Screen resolution of the applied device]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:10040] [Invalid:0]
[Range:-]
|
r21enhetstype
Variable label:
|
[Determines respondents device type]
|
Technical description:
|
[Determines respondents device type]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
PC |
5586 |
55.6% |
0.556374502 |
2 |
Touch |
4414 |
44.0% |
0.439641434 |
3 |
Generic |
40 |
0.4% |
0.003984064 |
r21advancedwifeaturesenabled
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:10040] [Invalid:0]
[Range:-]
|
r21getrenderingmode
Variable label:
|
[Detects the browsers rendering mode]
|
Technical description:
|
[Detects the browsers rendering mode]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:10040] [Invalid:0]
[Range:-]
|
r21pk204
Variable label:
|
Would vote for which party if parliamentary election tomorrow
|
Literal question:
|
Which party would you vote for if there were a parliamentary election
tomorrow?
|
Technical description:
|
[All respondents asked]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-13]
|
Value |
Label |
Cases |
Percentage |
|
1 |
The Christian Democrats |
273 |
2.7% |
0.027191235 |
2 |
The Conservative Party |
2167 |
21.6% |
0.215836653 |
3 |
The Progress Party |
662 |
6.6% |
0.065936255 |
4 |
The Liberal Party |
293 |
2.9% |
0.029183267 |
5 |
The Socialist Left Party |
964 |
9.6% |
0.096015936 |
6 |
The Centre Party |
1469 |
14.6% |
0.146314741 |
7 |
The Green Party |
523 |
5.2% |
0.052091633 |
8 |
The Labour Party |
2059 |
20.5% |
0.205079681 |
9 |
The Red Party |
581 |
5.8% |
0.057868526 |
10 |
Would not vote |
152 |
1.5% |
0.015139442 |
11 |
Would cast a blank vote |
223 |
2.2% |
0.022211155 |
12 |
Not entitled to vote |
218 |
2.2% |
0.021713147 |
13 |
Other: |
422 |
4.2% |
0.042031873 |
97 |
Not answered |
34 |
0.3% |
0.003386454 |
r21pk204_13_other
Variable label:
|
Other: Would vote for which party if parliamentary election tomorrow
|
Pre-question text:
|
Which party would you vote for if there were a parliamentary election
tomorrow?
|
Literal question:
|
Other:
|
Technical description:
|
[All respondents asked]
[Answer list display order: Randomize]
[Text data witheld due to privacy considerations. However, data can be
made available for researchers after contacting DIGSSCORE/University of
Bergen.]
|
Technical attributes:
|
[Question type:Single - Other] [Format:character] [Valid:0]
[Invalid:10040] [Range:-]
|
r21tdr8a
Variable label:
|
Would vote for which party if municipal elections tomorrow
|
Literal question:
|
Which political party would you vote for if municipal elections were to
take place tomorrow?
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-16]
|
Value |
Label |
Cases |
Percentage |
|
1 |
The Christian Democrats |
57 |
2.9% |
0.028657617 |
2 |
The Conservative Party |
452 |
22.7% |
0.227249874 |
3 |
The Progress Party |
104 |
5.2% |
0.052287582 |
4 |
The Liberal Party |
58 |
2.9% |
0.029160382 |
5 |
The Socialist Left Party |
156 |
7.8% |
0.078431373 |
6 |
The Centre Party |
243 |
12.2% |
0.122171946 |
7 |
The Green Party |
146 |
7.3% |
0.073403720 |
8 |
The Labour Party |
443 |
22.3% |
0.222724987 |
9 |
The Red Party |
123 |
6.2% |
0.061840121 |
10 |
The People’s Movement - No to More Road Tolls (or similar road toll initiative) |
11 |
0.6% |
0.005530417 |
11 |
A joint party list |
3 |
0.2% |
0.001508296 |
12 |
A local list |
33 |
1.7% |
0.016591252 |
13 |
Would not vote |
47 |
2.4% |
0.023629965 |
14 |
Would cast a blank vote |
30 |
1.5% |
0.015082956 |
15 |
Not entitled to vote |
2 |
0.1% |
0.001005530 |
16 |
Other: |
75 |
3.8% |
0.037707391 |
97 |
Not answered |
6 |
0.3% |
0.003016591 |
98 |
Not asked |
8051 |
|
NA |
r21tdr8a_16_other
Variable label:
|
Other: Would vote for which party if municipal elections tomorrow
|
Pre-question text:
|
Which political party would you vote for if municipal elections were to
take place tomorrow?
|
Literal question:
|
Other:
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
[Text data witheld due to privacy considerations. However, data can be
made available for researchers after contacting DIGSSCORE/University of
Bergen.]
|
Technical attributes:
|
[Question type:Single - Other] [Format:character] [Valid:0]
[Invalid:10040] [Range:-]
|
r21tdr8b
Variable label:
|
Would vote for which party if county council elections tomorrow
|
Literal question:
|
Which political party would you vote for if county council elections
were to take place tomorrow?
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-16]
|
Value |
Label |
Cases |
Percentage |
|
1 |
The Christian Democrats |
55 |
2.8% |
0.027652086 |
2 |
The Conservative Party |
431 |
21.7% |
0.216691805 |
3 |
The Progress Party |
110 |
5.5% |
0.055304173 |
4 |
The Liberal Party |
58 |
2.9% |
0.029160382 |
5 |
The Socialist Left Party |
161 |
8.1% |
0.080945199 |
6 |
The Centre Party |
253 |
12.7% |
0.127199598 |
7 |
The Green Party |
140 |
7.0% |
0.070387129 |
8 |
The Labour Party |
393 |
19.8% |
0.197586727 |
9 |
The Red Party |
110 |
5.5% |
0.055304173 |
10 |
The People’s Movement - No to More Road Tolls (or similar road toll initiative) |
13 |
0.7% |
0.006535948 |
11 |
A joint party list |
0 |
0.0% |
0.000000000 |
12 |
A local list |
17 |
0.9% |
0.008547009 |
13 |
Would not vote |
59 |
3.0% |
0.029663147 |
14 |
Would cast a blank vote |
89 |
4.5% |
0.044746104 |
15 |
Not entitled to vote |
7 |
0.4% |
0.003519356 |
16 |
Other: |
78 |
3.9% |
0.039215686 |
97 |
Not answered |
15 |
0.8% |
0.007541478 |
98 |
Not asked |
8051 |
|
NA |
r21tdr8b_16_other
Variable label:
|
Other: Would vote for which party if county council elections tomorrow
|
Pre-question text:
|
Which political party would you vote for if county council elections
were to take place tomorrow?
|
Literal question:
|
Other:
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
[Text data witheld due to privacy considerations. However, data can be
made available for researchers after contacting DIGSSCORE/University of
Bergen.]
|
Technical attributes:
|
[Question type:Single - Other] [Format:character] [Valid:0]
[Invalid:10040] [Range:-]
|
r21pk6_1
Variable label:
|
Like or 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 Democrats
|
Technical description:
|
[All respondents asked]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Intensely dislike |
1753 |
17.5% |
0.174601594 |
2 |
Really dislike |
2302 |
22.9% |
0.229282869 |
3 |
Dislike somewhat |
2474 |
24.6% |
0.246414343 |
4 |
Neither dislike nor like |
1734 |
17.3% |
0.172709163 |
5 |
Like somewhat |
1197 |
11.9% |
0.119223108 |
6 |
Really like |
369 |
3.7% |
0.036752988 |
7 |
Intensely like |
87 |
0.9% |
0.008665339 |
97 |
Not answered |
124 |
1.2% |
0.012350598 |
r21pk6_2
Variable label:
|
Like or 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]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Intensely dislike |
628 |
6.3% |
0.06254980 |
2 |
Really dislike |
1495 |
14.9% |
0.14890438 |
3 |
Dislike somewhat |
2005 |
20.0% |
0.19970120 |
4 |
Neither dislike nor like |
1223 |
12.2% |
0.12181275 |
5 |
Like somewhat |
2204 |
22.0% |
0.21952191 |
6 |
Really like |
1844 |
18.4% |
0.18366534 |
7 |
Intensely like |
516 |
5.1% |
0.05139442 |
97 |
Not answered |
125 |
1.2% |
0.01245020 |
r21pk6_3
Variable label:
|
Like or 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]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Intensely dislike |
3263 |
32.5% |
0.32500000 |
2 |
Really dislike |
2098 |
20.9% |
0.20896414 |
3 |
Dislike somewhat |
1506 |
15.0% |
0.15000000 |
4 |
Neither dislike nor like |
890 |
8.9% |
0.08864542 |
5 |
Like somewhat |
1267 |
12.6% |
0.12619522 |
6 |
Really like |
653 |
6.5% |
0.06503984 |
7 |
Intensely like |
240 |
2.4% |
0.02390438 |
97 |
Not answered |
123 |
1.2% |
0.01225100 |
r21pk6_4
Variable label:
|
Like or 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]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Intensely dislike |
1043 |
10.4% |
0.103884462 |
2 |
Really dislike |
1622 |
16.2% |
0.161553785 |
3 |
Dislike somewhat |
2260 |
22.5% |
0.225099602 |
4 |
Neither dislike nor like |
2498 |
24.9% |
0.248804781 |
5 |
Like somewhat |
1872 |
18.6% |
0.186454183 |
6 |
Really like |
507 |
5.0% |
0.050498008 |
7 |
Intensely like |
78 |
0.8% |
0.007768924 |
97 |
Not answered |
160 |
1.6% |
0.015936255 |
r21pk6_5
Variable label:
|
Like or 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]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Intensely dislike |
1269 |
12.6% |
0.12639442 |
2 |
Really dislike |
1612 |
16.1% |
0.16055777 |
3 |
Dislike somewhat |
1737 |
17.3% |
0.17300797 |
4 |
Neither dislike nor like |
1624 |
16.2% |
0.16175299 |
5 |
Like somewhat |
1878 |
18.7% |
0.18705179 |
6 |
Really like |
1364 |
13.6% |
0.13585657 |
7 |
Intensely like |
425 |
4.2% |
0.04233068 |
97 |
Not answered |
131 |
1.3% |
0.01304781 |
r21pk6_6
Variable label:
|
Like or 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]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Intensely dislike |
542 |
5.4% |
0.05398406 |
2 |
Really dislike |
1074 |
10.7% |
0.10697211 |
3 |
Dislike somewhat |
1803 |
18.0% |
0.17958167 |
4 |
Neither dislike nor like |
2082 |
20.7% |
0.20737052 |
5 |
Like somewhat |
2563 |
25.5% |
0.25527888 |
6 |
Really like |
1472 |
14.7% |
0.14661355 |
7 |
Intensely like |
374 |
3.7% |
0.03725100 |
97 |
Not answered |
130 |
1.3% |
0.01294821 |
r21pk6_7
Variable label:
|
Like or 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]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Intensely dislike |
2351 |
23.4% |
0.23416335 |
2 |
Really dislike |
1629 |
16.2% |
0.16225100 |
3 |
Dislike somewhat |
1604 |
16.0% |
0.15976096 |
4 |
Neither dislike nor like |
1285 |
12.8% |
0.12798805 |
5 |
Like somewhat |
1878 |
18.7% |
0.18705179 |
6 |
Really like |
927 |
9.2% |
0.09233068 |
7 |
Intensely like |
249 |
2.5% |
0.02480080 |
97 |
Not answered |
117 |
1.2% |
0.01165339 |
r21pk6_8
Variable label:
|
Like or 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]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Intensely dislike |
363 |
3.6% |
0.03615538 |
2 |
Really dislike |
785 |
7.8% |
0.07818725 |
3 |
Dislike somewhat |
1796 |
17.9% |
0.17888446 |
4 |
Neither dislike nor like |
1599 |
15.9% |
0.15926295 |
5 |
Like somewhat |
2947 |
29.4% |
0.29352590 |
6 |
Really like |
2033 |
20.2% |
0.20249004 |
7 |
Intensely like |
389 |
3.9% |
0.03874502 |
97 |
Not answered |
128 |
1.3% |
0.01274900 |
r21pk6_9
Variable label:
|
Like or 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]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Intensely dislike |
2148 |
21.4% |
0.21394422 |
2 |
Really dislike |
1671 |
16.6% |
0.16643426 |
3 |
Dislike somewhat |
1481 |
14.8% |
0.14750996 |
4 |
Neither dislike nor like |
1573 |
15.7% |
0.15667331 |
5 |
Like somewhat |
1804 |
18.0% |
0.17968127 |
6 |
Really like |
875 |
8.7% |
0.08715139 |
7 |
Intensely like |
335 |
3.3% |
0.03336653 |
97 |
Not answered |
153 |
1.5% |
0.01523904 |
r21meme1_1
Variable label:
|
Identify as: Norwegian
|
Pre-question text:
|
People have different ethnic origins. What do you identify as?
|
Literal question:
|
Norwegian
|
Post-question:
|
You can tick multiple boxes.
|
Technical description:
|
[Asked if r21group = 4]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21meme1_2
Variable label:
|
Identify as: Sami
|
Pre-question text:
|
People have different ethnic origins. What do you identify as?
|
Literal question:
|
Sami
|
Post-question:
|
You can tick multiple boxes.
|
Technical description:
|
[Asked if r21group = 4]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21meme1_3
Variable label:
|
Identify as: Kven/Norwegian Finnish
|
Pre-question text:
|
People have different ethnic origins. What do you identify as?
|
Literal question:
|
Kven/Norwegian Finnish
|
Post-question:
|
You can tick multiple boxes.
|
Technical description:
|
[Asked if r21group = 4]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21meme1_4
Variable label:
|
Identify as: Forest Finn
|
Pre-question text:
|
People have different ethnic origins. What do you identify as?
|
Literal question:
|
Forest Finn
|
Post-question:
|
You can tick multiple boxes.
|
Technical description:
|
[Asked if r21group = 4]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21meme1_5
Variable label:
|
Identify as: Other
|
Pre-question text:
|
People have different ethnic origins. What do you identify as?
|
Literal question:
|
Other
|
Post-question:
|
You can tick multiple boxes.
|
Technical description:
|
[Asked if r21group = 4]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21meme1_5_other
Variable label:
|
Identify as: Other
|
Pre-question text:
|
People have different ethnic origins. What do you identify as?
|
Literal question:
|
Other
|
Post-question:
|
You can tick multiple boxes.
|
Technical description:
|
[Asked if r21group = 4]
[Text data witheld due to privacy considerations. However, data can be
made available for researchers after contacting DIGSSCORE/University of
Bergen.]
|
Technical attributes:
|
[Question type:Multi - Other] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21meme2
Variable label:
|
Open: What do you think of when you hear/read the word
“Norwegianisation”?
|
Literal question:
|
What do you think of when you hear or read the word “Norwegianisation”?
|
Post-question:
|
You can be brief or write at length. We are looking for all types of
answers.
|
Technical description:
|
[Asked if r21group = 4]
[Text data witheld due to privacy considerations. However, data can be
made available for researchers after contacting DIGSSCORE/University of
Bergen.]
|
Technical attributes:
|
[Question type:Open] [Format:character] [Valid:0] [Invalid:10040]
[Range:-]
|
r21meme3
Variable label:
|
Aware that the Storting has appointed a commission to investigate the
Norwegianisation policy?
|
Literal question:
|
Are you aware that the Storting (the Norwegian parliament) has appointed
a special truth and reconciliation commission to investigate the
Norwegianisation policy that targeted Sami, Kven/Norwegian Finn, and
Forest Finn people?
|
Technical description:
|
[Asked if r21group = 4]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Yes |
552 |
27.3% |
0.272862086 |
2 |
No |
1462 |
72.3% |
0.722689076 |
97 |
Not answered |
9 |
0.4% |
0.004448838 |
98 |
Not asked |
8017 |
|
NA |
r21meme4
Variable label:
|
How important to survey the impact of the Norwegianisation policy on
Sami/Kven language/culture?
|
Pre-question text:
|
In 2018, the Storting appointed the Norwegian Truth and Reconciliation
Commission to survey the impact of the Norwegianisation policy on Sami,
Kven/Norwegian Finn, and Forest Finn people’s use and practice of their
own language, culture, and traditional occupations.
|
Literal question:
|
How important do you think such a commission is?
|
Technical description:
|
[Asked if r21group = 4]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very important |
670 |
33.1% |
0.331191300 |
2 |
Quite important |
768 |
38.0% |
0.379634207 |
3 |
Not very important |
333 |
16.5% |
0.164607019 |
4 |
Not important |
107 |
5.3% |
0.052891745 |
5 |
Don’t know |
140 |
6.9% |
0.069204152 |
97 |
Not answered |
5 |
0.2% |
0.002471577 |
98 |
Not asked |
8017 |
|
NA |
r21meme5
Variable label:
|
To what extent a truth and reconciliation commission reconciles minority
groups and the State
|
Literal question:
|
To what extent do you think that a truth and reconciliation commission
in Norway can contribute to reconciliation between minority groups
(Sami, Kven/Norwegian Finn, and Forest Finn people) and the State?
|
Technical description:
|
[Asked if r21group = 4]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
1 |
To a very great extent |
54 |
2.7% |
0.026693030 |
2 |
To a great extent |
322 |
15.9% |
0.159169550 |
3 |
To some extent |
1012 |
50.0% |
0.500247158 |
4 |
To a small extent |
333 |
16.5% |
0.164607019 |
5 |
Not at all |
94 |
4.6% |
0.046465645 |
6 |
Don’t know |
198 |
9.8% |
0.097874444 |
97 |
Not answered |
10 |
0.5% |
0.004943154 |
98 |
Not asked |
8017 |
|
NA |
r21meme6
Variable label:
|
To what extent a truth and reconciliation commission reconciles minority
and majority groups
|
Literal question:
|
To what extent do you believe truth and reconciliation commissions have
an impact on reconciliation between different minority and majority
groups?
|
Technical description:
|
[Asked if r21group = 4]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
1 |
To a very great extent |
43 |
2.1% |
0.021255561 |
2 |
To a great extent |
282 |
13.9% |
0.139396935 |
3 |
To some extent |
1000 |
49.4% |
0.494315373 |
4 |
To a small extent |
396 |
19.6% |
0.195748888 |
5 |
Not at all |
98 |
4.8% |
0.048442907 |
6 |
Don’t know |
189 |
9.3% |
0.093425606 |
97 |
Not answered |
15 |
0.7% |
0.007414731 |
98 |
Not asked |
8017 |
|
NA |
r21meme7_1
Variable label:
|
Most people know about the Norwegianisation policy that targeted: Sami
people
|
Pre-question text:
|
How well do you think most people know about the State’s active
Norwegianisation policy that targeted these groups and continued well
into the second half of the 1900s?
|
Literal question:
|
Sami people
|
Technical description:
|
[Asked if r21group = 4]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very well |
130 |
6.4% |
0.064260999 |
2 |
Well |
594 |
29.4% |
0.293623332 |
3 |
Not very well |
900 |
44.5% |
0.444883836 |
4 |
Not at all |
194 |
9.6% |
0.095897182 |
5 |
Don't know |
194 |
9.6% |
0.095897182 |
97 |
Not answered |
11 |
0.5% |
0.005437469 |
98 |
Not asked |
8017 |
|
NA |
r21meme7_2
Variable label:
|
Most people know about the Norwegianisation policy that targeted:
Kven/Norwegian Finns
|
Pre-question text:
|
How well do you think most people know about the State’s active
Norwegianisation policy that targeted these groups and continued well
into the second half of the 1900s?
|
Literal question:
|
Kven/Norwegian Finns
|
Technical description:
|
[Asked if r21group = 4]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very well |
36 |
1.8% |
0.01779535 |
2 |
Well |
166 |
8.2% |
0.08205635 |
3 |
Not very well |
845 |
41.8% |
0.41769649 |
4 |
Not at all |
694 |
34.3% |
0.34305487 |
5 |
Don't know |
246 |
12.2% |
0.12160158 |
97 |
Not answered |
36 |
1.8% |
0.01779535 |
98 |
Not asked |
8017 |
|
NA |
r21meme7_3
Variable label:
|
Most people know about the Norwegianisation policy that targeted: Forest
Finns
|
Pre-question text:
|
How well do you think most people know about the State’s active
Norwegianisation policy that targeted these groups and continued well
into the second half of the 1900s?
|
Literal question:
|
Forest Finns
|
Technical description:
|
[Asked if r21group = 4]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very well |
30 |
1.5% |
0.01482946 |
2 |
Well |
106 |
5.2% |
0.05239743 |
3 |
Not very well |
732 |
36.2% |
0.36183885 |
4 |
Not at all |
857 |
42.4% |
0.42362827 |
5 |
Don't know |
263 |
13.0% |
0.13000494 |
97 |
Not answered |
35 |
1.7% |
0.01730104 |
98 |
Not asked |
8017 |
|
NA |
r21meme8b_ran
Variable label:
|
NA
|
Technical description:
|
[Randomized if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:2056] [Invalid:7984]
[Range:3-5]
|
Value |
Label |
Cases |
Percentage |
|
3 |
construction of a new mosque |
691 |
33.6% |
0.3360895 |
4 |
that a centrally located chuch is conferted to a mosque |
693 |
33.7% |
0.3370623 |
5 |
that a centrally located existing building is converted to a mosque |
672 |
32.7% |
0.3268482 |
Sysmiss |
|
7984 |
|
NA |
r21meme8b
Variable label:
|
In favour of/against permitting [r21meme8b_ran]?
|
Pre-question text:
|
In some Norwegian municipalities there have been debates about
permitting [r21meme8b_ran].
|
Literal question:
|
Are you in favour of or against allowing this?
|
Technical description:
|
[Asked if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Completely in favour |
269 |
13.1% |
0.130772970 |
2 |
Somewhat in favour |
598 |
29.1% |
0.290714633 |
3 |
Somewhat against |
502 |
24.4% |
0.244044725 |
4 |
Completely against |
673 |
32.7% |
0.327175498 |
97 |
Not answered |
15 |
0.7% |
0.007292173 |
98 |
Not asked |
7983 |
|
NA |
r21meme11_ran1
Variable label:
|
NA
|
Technical description:
|
[Randomized if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:2056] [Invalid:7984]
[Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
[blank] |
508 |
24.7% |
0.2470817 |
2 |
because it is important that all women learn to swim |
538 |
26.2% |
0.2616732 |
3 |
because it makes women feel safer |
528 |
25.7% |
0.2568093 |
4 |
because this enables Muslim women to adhere to conservative rules in Islam |
482 |
23.4% |
0.2344358 |
Sysmiss |
|
7984 |
|
NA |
r21meme11
Variable label:
|
Statment: Municipal swimming pools only open to women at certain times
|
Pre-question text:
|
Some people think that municipal swimming pools should only be open to
women at certain times [not mentioned/because it is important that all
women learn to swim/because it makes women feel safer/because this
enables Muslim women to adhere to conservative rules in Islam].
|
Literal question:
|
Do you support or do you not support municipal swimming pools only being
open to women at certain times?
|
Technical description:
|
[Asked if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Completely support |
80 |
3.9% |
0.038891590 |
2 |
Support |
556 |
27.0% |
0.270296548 |
3 |
Do not support |
757 |
36.8% |
0.368011667 |
4 |
Do not support at all |
644 |
31.3% |
0.313077297 |
97 |
Not answered |
20 |
1.0% |
0.009722897 |
98 |
Not asked |
7983 |
|
NA |
r21meme10_ran1
Variable label:
|
NA
|
Technical description:
|
[Randomized if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:2056] [Invalid:7984]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
has been appointed to the council by the mayor |
673 |
32.7% |
0.3273346 |
2 |
has been elected to the council by the members of the largest Muslim
organisation in the municipality |
671 |
32.6% |
0.3263619 |
3 |
has been appointed to the council by an imam (religious leader) from the largest
mosque in the municipality |
712 |
34.6% |
0.3463035 |
Sysmiss |
|
7984 |
|
NA |
r21meme10_ran2
Variable label:
|
NA
|
Technical description:
|
[Randomized if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:2056] [Invalid:7984]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
will represent the views of ordinary Muslims on the council |
1031 |
50.1% |
0.5014591 |
2 |
will contribute to improving the municipality’s decisions in such cases |
1025 |
49.9% |
0.4985409 |
Sysmiss |
|
7984 |
|
NA |
r21meme10
Variable label:
|
Confident/doubt that Muslim representative in the municipality
[represents Muslims/improves decisions]
|
Pre-question text:
|
The leaders of a municipality want to appoint a council that will be
consulted on issues where people with different backgrounds usually have
different opinions, e.g. 17th May celebrations, 8th March
commemorations, or Pride events. A Muslim representative [has been
appointed to the council by the mayor/has been elected to the council by
the members of the largest Muslim organisation in the municipality/has
been appointed to the council by an imam (religious leader) from the
largest mosque in the municipality].
|
Literal question:
|
To what extent are you confident or do you doubt that the Muslim
representative [will represent the views of ordinary Muslims on the
council/will contribute to improving the municipality’s decisions in
such cases]?
|
Technical description:
|
[Asked if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Completely confident |
473 |
23.0% |
0.22994652 |
2 |
Somewhat confident |
892 |
43.4% |
0.43364123 |
3 |
Doubt to some extent |
468 |
22.8% |
0.22751580 |
4 |
Doubt completely |
202 |
9.8% |
0.09820126 |
97 |
Not answered |
22 |
1.1% |
0.01069519 |
98 |
Not asked |
7983 |
|
NA |
r21kmopen1
Variable label:
|
Open: What do you think when you hear or read the term “climate change”?
|
Literal question:
|
What do you think when you hear or read the term “climate change”?
|
Post-question:
|
Please write down the first thing you think of. All responses are
welcome, preferably a couple of sentences, or just a few words if you
would prefer.
|
Technical description:
|
[Asked if r21group = 4]
[Text data witheld due to privacy considerations. However, data can be
made available for researchers after contacting DIGSSCORE/University of
Bergen.]
|
Technical attributes:
|
[Question type:Open] [Format:character] [Valid:0] [Invalid:10040]
[Range:-]
|
r21kmopen2_ran
Variable label:
|
Randomized text piping for r21kmopen2
|
Technical description:
|
[Randomized if r21group = 1,3,4]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:5935] [Invalid:4105]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
As far as climate change is concerned, what do you think should be done? |
1904 |
32.1% |
0.3208088 |
2 |
Norway has set ambitious targets for climate cuts in the coming years. What do
you think could be obstacles to achieving the emissions targets? |
2024 |
34.1% |
0.3410278 |
3 |
Norway has set ambitious targets for climate cuts in the coming years. What do
you think could be opportunities for achieving these emissions targets? |
2007 |
33.8% |
0.3381634 |
Sysmiss |
|
4105 |
|
NA |
r21kmopen2
Variable label:
|
Open: [Obstacles/opportunities] for achieving emissions targets
|
Literal question:
|
[As far as climate change is concerned, what do you think should be
done?/Norway has set ambitious targets for climate cuts in the coming
years. What do you think could be obstacles to achieving the emissions
targets?/Norway has set ambitious targets for climate cuts in the coming
years. What do you think could be opportunities for achieving these
emissions targets?]
|
Post-question:
|
Please write down the first thing you think of. All responses are
welcome, preferably a couple of sentences, or just a few words if you
would prefer.
|
Technical description:
|
[Asked if r21group = 1,3]
[Text data witheld due to privacy considerations. However, data can be
made available for researchers after contacting DIGSSCORE/University of
Bergen.]
|
Technical attributes:
|
[Question type:Open] [Format:character] [Valid:0] [Invalid:10040]
[Range:-]
|
r21tdr24
Variable label:
|
Agree/disagree: Allocate more vaccine doses to areas that have had high
infection rates over time
|
Pre-question text:
|
There has been a debate in Norway about whether one should allocate more
vaccine doses to areas with high infection rates over time. This means
that municipalities with low infection rates would get fewer vaccine
doses.
|
Literal question:
|
To what extent do you agree or disagree that one should allocate more
vaccine doses to areas that have had high infection rates over time?
|
Technical description:
|
[Asked if r19group = 3]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
298 |
21.4% |
0.213773314 |
2 |
Agree |
409 |
29.3% |
0.293400287 |
3 |
Agree somewhat |
347 |
24.9% |
0.248923960 |
4 |
Neither agree nor disagree |
106 |
7.6% |
0.076040172 |
5 |
Disagree somewhat |
71 |
5.1% |
0.050932568 |
6 |
Disagree |
95 |
6.8% |
0.068149211 |
7 |
Strongly disagree |
62 |
4.4% |
0.044476327 |
97 |
Not answered |
6 |
0.4% |
0.004304161 |
98 |
Not asked |
8646 |
|
NA |
r21tdr25_1
Variable label:
|
How confident that: rural voters make good decisions
|
Pre-question text:
|
On a scale of 0 to 10, how confident are you…
|
Literal question:
|
that rural voters make good decisions?
|
Technical description:
|
[Asked if r19group = 3]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:0-10]
|
Value |
Label |
Cases |
Percentage |
|
0 |
0 – Not at all confident |
8 |
0.6% |
0.005738881 |
1 |
1 |
7 |
0.5% |
0.005021521 |
2 |
2 |
12 |
0.9% |
0.008608321 |
3 |
3 |
48 |
3.4% |
0.034433286 |
4 |
4 |
79 |
5.7% |
0.056671449 |
5 |
5 |
221 |
15.9% |
0.158536585 |
6 |
6 |
176 |
12.6% |
0.126255380 |
7 |
7 |
264 |
18.9% |
0.189383070 |
8 |
8 |
261 |
18.7% |
0.187230990 |
9 |
9 |
98 |
7.0% |
0.070301291 |
10 |
10 – Completely confident |
206 |
14.8% |
0.147776184 |
97 |
Not answered |
14 |
1.0% |
0.010043042 |
98 |
Not asked |
8646 |
|
NA |
r21tdr25_2
Variable label:
|
How confident that: urban voters make good decisions
|
Pre-question text:
|
On a scale of 0 to 10, how confident are you…
|
Literal question:
|
that urban voters make good decisions?
|
Technical description:
|
[Asked if r19group = 3]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:0-10]
|
Value |
Label |
Cases |
Percentage |
|
0 |
0 – Not at all confident |
12 |
0.9% |
0.008608321 |
1 |
1 |
9 |
0.6% |
0.006456241 |
2 |
2 |
13 |
0.9% |
0.009325681 |
3 |
3 |
48 |
3.4% |
0.034433286 |
4 |
4 |
78 |
5.6% |
0.055954089 |
5 |
5 |
299 |
21.4% |
0.214490674 |
6 |
6 |
212 |
15.2% |
0.152080344 |
7 |
7 |
261 |
18.7% |
0.187230990 |
8 |
8 |
230 |
16.5% |
0.164992826 |
9 |
9 |
69 |
4.9% |
0.049497848 |
10 |
10 – Completely confident |
149 |
10.7% |
0.106886657 |
97 |
Not answered |
14 |
1.0% |
0.010043042 |
98 |
Not asked |
8646 |
|
NA |
r21tdr25_3
Variable label:
|
How confident that: elected rural politicians make good decisions
|
Pre-question text:
|
On a scale of 0 to 10, how confident are you…
|
Literal question:
|
that elected rural politicians make good decisions?
|
Technical description:
|
[Asked if r19group = 3]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:0-10]
|
Value |
Label |
Cases |
Percentage |
|
0 |
0 – Not at all confident |
13 |
0.9% |
0.009325681 |
1 |
1 |
7 |
0.5% |
0.005021521 |
2 |
2 |
28 |
2.0% |
0.020086083 |
3 |
3 |
58 |
4.2% |
0.041606887 |
4 |
4 |
83 |
6.0% |
0.059540890 |
5 |
5 |
268 |
19.2% |
0.192252511 |
6 |
6 |
204 |
14.6% |
0.146341463 |
7 |
7 |
274 |
19.7% |
0.196556671 |
8 |
8 |
247 |
17.7% |
0.177187948 |
9 |
9 |
88 |
6.3% |
0.063127690 |
10 |
10 – Completely confident |
111 |
8.0% |
0.079626973 |
97 |
Not answered |
13 |
0.9% |
0.009325681 |
98 |
Not asked |
8646 |
|
NA |
r21tdr25_4
Variable label:
|
How confident that: elected urban politicians make good decisions
|
Pre-question text:
|
On a scale of 0 to 10, how confident are you…
|
Literal question:
|
that elected urban politicians make good decisions?
|
Technical description:
|
[Asked if r19group = 3]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:0-10]
|
Value |
Label |
Cases |
Percentage |
|
0 |
0 – Not at all confident |
18 |
1.3% |
0.012912482 |
1 |
1 |
11 |
0.8% |
0.007890961 |
2 |
2 |
34 |
2.4% |
0.024390244 |
3 |
3 |
65 |
4.7% |
0.046628407 |
4 |
4 |
101 |
7.2% |
0.072453372 |
5 |
5 |
297 |
21.3% |
0.213055954 |
6 |
6 |
216 |
15.5% |
0.154949785 |
7 |
7 |
264 |
18.9% |
0.189383070 |
8 |
8 |
220 |
15.8% |
0.157819225 |
9 |
9 |
66 |
4.7% |
0.047345768 |
10 |
10 – Completely confident |
88 |
6.3% |
0.063127690 |
97 |
Not answered |
14 |
1.0% |
0.010043042 |
98 |
Not asked |
8646 |
|
NA |
r19identitet6_ran
Variable label:
|
[Experiment. Randomly chooses an alternative for text piping in
r19identitet6]
|
Technical description:
|
[Randomized if r19group = 3]
[Experiment. Randomly chooses an alternative for text piping in
r19identitet6]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:1391] [Invalid:8649]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
in cities |
696 |
50.0% |
0.5003595 |
2 |
in villages |
695 |
50.0% |
0.4996405 |
Sysmiss |
|
8649 |
|
NA |
r19identitet6_ran_contra
Variable label:
|
[Experiment. Opposite value of r19identitet6_ran]
|
Technical description:
|
[Randomized if r19group = 3]
[Experiment. Opposite value of r19identitet6_ran]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:1391] [Invalid:8649]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
in cities |
695 |
50.0% |
0.4996405 |
2 |
in villages |
696 |
50.0% |
0.5003595 |
Sysmiss |
|
8649 |
|
NA |
r21tdr26_1
Variable label:
|
Agree/disagree: People [in cities/in villages] don’t appreciate life [in
villages/in cities]
|
Pre-question text:
|
To what extent do you agree or disagree with the following statements?
|
Literal question:
|
People [in cities/in villages] don’t appreciate life [in villages/in
cities].
|
Technical description:
|
[Asked if r19group = 3 & r19identitet6_ran is answered]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
28 |
2.0% |
0.02012940 |
2 |
Agree |
150 |
10.8% |
0.10783609 |
3 |
Agree somewhat |
440 |
31.6% |
0.31631919 |
4 |
Disagree somewhat |
295 |
21.2% |
0.21207764 |
5 |
Disagree |
395 |
28.4% |
0.28396837 |
6 |
Strongly disagree |
62 |
4.5% |
0.04457225 |
97 |
Not answered |
21 |
1.5% |
0.01509705 |
98 |
Not asked |
8649 |
|
NA |
r21tdr26_2
Variable label:
|
Agree/disagree: People [in cities/in villages] get more than their fair
share of public resources
|
Pre-question text:
|
To what extent do you agree or disagree with the following statements?
|
Literal question:
|
People [in cities/in villages] get more than their fair share of public
resources.
|
Technical description:
|
[Asked if r19group = 3 & r19identitet6_ran is answered]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
33 |
2.4% |
0.02372394 |
2 |
Agree |
152 |
10.9% |
0.10927390 |
3 |
Agree somewhat |
311 |
22.4% |
0.22358016 |
4 |
Disagree somewhat |
293 |
21.1% |
0.21063983 |
5 |
Disagree |
428 |
30.8% |
0.30769231 |
6 |
Strongly disagree |
151 |
10.9% |
0.10855500 |
97 |
Not answered |
23 |
1.7% |
0.01653487 |
98 |
Not asked |
8649 |
|
NA |
r21tdr26_3
Variable label:
|
Agree/disagree: People [in cities/in villages] think more about
themselves than the nation as a whole
|
Pre-question text:
|
To what extent do you agree or disagree with the following statements?
|
Literal question:
|
People [in cities/in villages] think more about themselves than what is
best for the nation as a whole.
|
Technical description:
|
[Asked if r19group = 3 & r19identitet6_ran is answered]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
40 |
2.9% |
0.02875629 |
2 |
Agree |
156 |
11.2% |
0.11214953 |
3 |
Agree somewhat |
339 |
24.4% |
0.24370956 |
4 |
Disagree somewhat |
271 |
19.5% |
0.19482387 |
5 |
Disagree |
397 |
28.5% |
0.28540618 |
6 |
Strongly disagree |
167 |
12.0% |
0.12005751 |
97 |
Not answered |
21 |
1.5% |
0.01509705 |
98 |
Not asked |
8649 |
|
NA |
r19identitet7_ran
Variable label:
|
[Experiment. Randomly chooses an alternative for text piping in
r19identitet7]
|
Technical description:
|
[Randomized if r19group = 3]
[Experiment. Randomly chooses an alternative for text piping in
r19identitet7]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:1391] [Invalid:8649]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
in Oslo |
693 |
49.8% |
0.4982027 |
2 |
outside Oslo |
698 |
50.2% |
0.5017973 |
Sysmiss |
|
8649 |
|
NA |
r19identitet7_ran_contra
Variable label:
|
[Experiment. Opposite value of r19identitet7_ran]
|
Technical description:
|
[Randomized if r19group = 3]
[Experiment. Opposite value of r19identitet7_ran]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:1391] [Invalid:8649]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
in Oslo |
698 |
50.2% |
0.5017973 |
2 |
outside Oslo |
693 |
49.8% |
0.4982027 |
Sysmiss |
|
8649 |
|
NA |
r21tdr27_1
Variable label:
|
Agree/disagree: People [in Oslo/outside Oslo] do not appreciate life
[outside Oslo/in Oslo]
|
Pre-question text:
|
To what extent do you agree or disagree with the following statements?
|
Literal question:
|
People [in Oslo/outside Oslo] do not appreciate life [outside Oslo/in
Oslo].
|
Technical description:
|
[Asked if r19group = 3 & r19identitet7_ran is answered]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
45 |
3.2% |
0.03235083 |
2 |
Agree |
136 |
9.8% |
0.09777139 |
3 |
Agree somewhat |
468 |
33.6% |
0.33644860 |
4 |
Disagree somewhat |
328 |
23.6% |
0.23580158 |
5 |
Disagree |
339 |
24.4% |
0.24370956 |
6 |
Strongly disagree |
55 |
4.0% |
0.03953990 |
97 |
Not answered |
20 |
1.4% |
0.01437815 |
98 |
Not asked |
8649 |
|
NA |
r21tdr27_2
Variable label:
|
Agree/disagree: People [in Oslo/outside Oslo] get more than their fair
share of public resources
|
Pre-question text:
|
To what extent do you agree or disagree with the following statements?
|
Literal question:
|
People [in Oslo/outside Oslo] get more than their fair share of public
resources.
|
Technical description:
|
[Asked if r19group = 3 & r19identitet7_ran is answered]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
51 |
3.7% |
0.03666427 |
2 |
Agree |
142 |
10.2% |
0.10208483 |
3 |
Agree somewhat |
280 |
20.1% |
0.20129403 |
4 |
Disagree somewhat |
345 |
24.8% |
0.24802301 |
5 |
Disagree |
410 |
29.5% |
0.29475198 |
6 |
Strongly disagree |
141 |
10.1% |
0.10136592 |
97 |
Not answered |
22 |
1.6% |
0.01581596 |
98 |
Not asked |
8649 |
|
NA |
r21tdr27_3
Variable label:
|
Agree/disagree: People [in Oslo/outside Oslo] think more about
themselves than the nation as a whole
|
Pre-question text:
|
To what extent do you agree or disagree with the following statements?
|
Literal question:
|
People [in Oslo/outside Oslo] think more about themselves than what is
best for the nation as a whole.
|
Technical description:
|
[Asked if r19group = 3 & r19identitet7_ran is answered]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
57 |
4.1% |
0.04097771 |
2 |
Agree |
142 |
10.2% |
0.10208483 |
3 |
Agree somewhat |
363 |
26.1% |
0.26096334 |
4 |
Disagree somewhat |
296 |
21.3% |
0.21279655 |
5 |
Disagree |
374 |
26.9% |
0.26887132 |
6 |
Strongly disagree |
138 |
9.9% |
0.09920920 |
97 |
Not answered |
21 |
1.5% |
0.01509705 |
98 |
Not asked |
8649 |
|
NA |
r21tdr28_1
Variable label:
|
How confident that: voters from Oslo make good decisions
|
Pre-question text:
|
On a scale of 0 to 10, how confident are you…
|
Literal question:
|
that voters from Oslo make good decisions?
|
Technical description:
|
[Asked if r19group = 3]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:0-10]
|
Value |
Label |
Cases |
Percentage |
|
0 |
0 – Not at all confident |
37 |
2.7% |
0.02654232 |
1 |
1 |
20 |
1.4% |
0.01434720 |
2 |
2 |
32 |
2.3% |
0.02295552 |
3 |
3 |
99 |
7.1% |
0.07101865 |
4 |
4 |
127 |
9.1% |
0.09110473 |
5 |
5 |
305 |
21.9% |
0.21879484 |
6 |
6 |
191 |
13.7% |
0.13701578 |
7 |
7 |
239 |
17.1% |
0.17144907 |
8 |
8 |
186 |
13.3% |
0.13342898 |
9 |
9 |
58 |
4.2% |
0.04160689 |
10 |
10 – Completely confident |
82 |
5.9% |
0.05882353 |
97 |
Not answered |
18 |
1.3% |
0.01291248 |
98 |
Not asked |
8646 |
|
NA |
r21tdr28_2
Variable label:
|
How confident that: voters from your region make good decisions
|
Pre-question text:
|
On a scale of 0 to 10, how confident are you…
|
Literal question:
|
that voters from your region make good decisions?
|
Technical description:
|
[Asked if r19group = 3]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:0-10]
|
Value |
Label |
Cases |
Percentage |
|
0 |
0 – Not at all confident |
10 |
0.7% |
0.007173601 |
1 |
1 |
5 |
0.4% |
0.003586801 |
2 |
2 |
12 |
0.9% |
0.008608321 |
3 |
3 |
43 |
3.1% |
0.030846485 |
4 |
4 |
83 |
6.0% |
0.059540890 |
5 |
5 |
281 |
20.2% |
0.201578192 |
6 |
6 |
232 |
16.6% |
0.166427547 |
7 |
7 |
285 |
20.4% |
0.204447633 |
8 |
8 |
241 |
17.3% |
0.172883788 |
9 |
9 |
82 |
5.9% |
0.058823529 |
10 |
10 – Completely confident |
100 |
7.2% |
0.071736011 |
97 |
Not answered |
20 |
1.4% |
0.014347202 |
98 |
Not asked |
8646 |
|
NA |
r21tdr28_3
Variable label:
|
How confident that: elected politicians from Oslo make good decisions
|
Pre-question text:
|
On a scale of 0 to 10, how confident are you…
|
Literal question:
|
that elected politicians from Oslo make good decisions?
|
Technical description:
|
[Asked if r19group = 3]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:0-10]
|
Value |
Label |
Cases |
Percentage |
|
0 |
0 – Not at all confident |
38 |
2.7% |
0.02725968 |
1 |
1 |
30 |
2.2% |
0.02152080 |
2 |
2 |
51 |
3.7% |
0.03658537 |
3 |
3 |
110 |
7.9% |
0.07890961 |
4 |
4 |
124 |
8.9% |
0.08895265 |
5 |
5 |
291 |
20.9% |
0.20875179 |
6 |
6 |
188 |
13.5% |
0.13486370 |
7 |
7 |
251 |
18.0% |
0.18005739 |
8 |
8 |
183 |
13.1% |
0.13127690 |
9 |
9 |
48 |
3.4% |
0.03443329 |
10 |
10 – Completely confident |
63 |
4.5% |
0.04519369 |
97 |
Not answered |
17 |
1.2% |
0.01219512 |
98 |
Not asked |
8646 |
|
NA |
r21tdr28_4
Variable label:
|
How confident that: elected politicians from your region good decisions
|
Pre-question text:
|
On a scale of 0 to 10, how confident are you…
|
Literal question:
|
that elected politicians from your region good decisions?
|
Technical description:
|
[Asked if r19group = 3]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:0-10]
|
Value |
Label |
Cases |
Percentage |
|
0 |
0 – Not at all confident |
14 |
1.0% |
0.010043042 |
1 |
1 |
12 |
0.9% |
0.008608321 |
2 |
2 |
22 |
1.6% |
0.015781923 |
3 |
3 |
66 |
4.7% |
0.047345768 |
4 |
4 |
96 |
6.9% |
0.068866571 |
5 |
5 |
272 |
19.5% |
0.195121951 |
6 |
6 |
219 |
15.7% |
0.157101865 |
7 |
7 |
309 |
22.2% |
0.221664275 |
8 |
8 |
222 |
15.9% |
0.159253945 |
9 |
9 |
74 |
5.3% |
0.053084648 |
10 |
10 – Completely confident |
69 |
4.9% |
0.049497848 |
97 |
Not answered |
19 |
1.4% |
0.013629842 |
98 |
Not asked |
8646 |
|
NA |
r21tdr29_1
Variable label:
|
Agree/disagree: People in rural areas have too much say in Norwegian
politics
|
Pre-question text:
|
To what extent do you agree or disagree with the following statements:
|
Literal question:
|
People in rural areas have too much say in Norwegian politics.
|
Technical description:
|
[Asked if r19group = 3]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
16 |
1.1% |
0.01147776 |
2 |
Agree |
78 |
5.6% |
0.05595409 |
3 |
Agree somewhat |
210 |
15.1% |
0.15064562 |
4 |
Disagree somewhat |
347 |
24.9% |
0.24892396 |
5 |
Disagree |
547 |
39.2% |
0.39239598 |
6 |
Strongly disagree |
177 |
12.7% |
0.12697274 |
97 |
Not answered |
19 |
1.4% |
0.01362984 |
98 |
Not asked |
8646 |
|
NA |
r21tdr29_2
Variable label:
|
Agree/disagree: People in urban areas have too much say in Norwegian
politics
|
Pre-question text:
|
To what extent do you agree or disagree with the following statements:
|
Literal question:
|
People in urban areas have too much say in Norwegian politics.
|
Technical description:
|
[Asked if r19group = 3]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
46 |
3.3% |
0.03299857 |
2 |
Agree |
162 |
11.6% |
0.11621234 |
3 |
Agree somewhat |
363 |
26.0% |
0.26040172 |
4 |
Disagree somewhat |
397 |
28.5% |
0.28479197 |
5 |
Disagree |
342 |
24.5% |
0.24533716 |
6 |
Strongly disagree |
62 |
4.4% |
0.04447633 |
97 |
Not answered |
22 |
1.6% |
0.01578192 |
98 |
Not asked |
8646 |
|
NA |
r21tdr30_1
Variable label:
|
Agree/disagree: People in Oslo have too much say in Norwegian politics
|
Pre-question text:
|
To what extent do you agree or disagree with the following statements:
|
Literal question:
|
People in Oslo have too much say in Norwegian politics.
|
Technical description:
|
[Asked if r19group = 3]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
90 |
6.5% |
0.06456241 |
2 |
Agree |
209 |
15.0% |
0.14992826 |
3 |
Agree somewhat |
438 |
31.4% |
0.31420373 |
4 |
Disagree somewhat |
307 |
22.0% |
0.22022956 |
5 |
Disagree |
267 |
19.2% |
0.19153515 |
6 |
Strongly disagree |
47 |
3.4% |
0.03371593 |
97 |
Not answered |
36 |
2.6% |
0.02582496 |
98 |
Not asked |
8646 |
|
NA |
r21tdr30_2
Variable label:
|
Agree/disagree: People outside Oslo have too much say in Norwegian
politics
|
Pre-question text:
|
To what extent do you agree or disagree with the following statements:
|
Literal question:
|
People outside Oslo have too much say in Norwegian politics.
|
Technical description:
|
[Asked if r19group = 3]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
16 |
1.1% |
0.01147776 |
2 |
Agree |
42 |
3.0% |
0.03012912 |
3 |
Agree somewhat |
198 |
14.2% |
0.14203730 |
4 |
Disagree somewhat |
551 |
39.5% |
0.39526542 |
5 |
Disagree |
461 |
33.1% |
0.33070301 |
6 |
Strongly disagree |
92 |
6.6% |
0.06599713 |
97 |
Not answered |
34 |
2.4% |
0.02439024 |
98 |
Not asked |
8646 |
|
NA |
r21_psykpr1
Variable label:
|
How high do you consider the risk to become infected by the coronavirus?
|
Literal question:
|
How high do you consider the risk that during the outbreak you will
become infected by the coronavirus?
|
Technical description:
|
[Asked if r20group = 6]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very low |
751 |
38.0% |
0.3802531646 |
2 |
Somewhat low |
667 |
33.8% |
0.3377215190 |
3 |
Medium |
432 |
21.9% |
0.2187341772 |
4 |
Somewhat high |
97 |
4.9% |
0.0491139241 |
5 |
Very high |
27 |
1.4% |
0.0136708861 |
97 |
Not answered |
1 |
0.1% |
0.0005063291 |
98 |
Not asked |
8065 |
|
NA |
r21_covid_plager_1
Variable label:
|
Experienced to feel, during the Covid-19 pandemic: Scared/anxious
|
Pre-question text:
|
Below you will find a list of various ailments. To what extent have you
experienced any of this during the Covid-19 pandemic?
|
Literal question:
|
Feeling scared or anxious
|
Technical description:
|
[Asked if r20group = 6]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21_covid_plager_2
Variable label:
|
Experienced to feel, during the Covid-19 pandemic: Nervous, inner
turmoil
|
Pre-question text:
|
Below you will find a list of various ailments. To what extent have you
experienced any of this during the Covid-19 pandemic?
|
Literal question:
|
Nervous, inner turmoil
|
Technical description:
|
[Asked if r20group = 6]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21_covid_plager_3
Variable label:
|
Experienced to feel, during the Covid-19 pandemic: Depressed, low (sad)
|
Pre-question text:
|
Below you will find a list of various ailments. To what extent have you
experienced any of this during the Covid-19 pandemic?
|
Literal question:
|
Feeling depressed, low (sad)
|
Technical description:
|
[Asked if r20group = 6]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21_covid_plager_4
Variable label:
|
Experienced to feel, during the Covid-19 pandemic: Worrying too much
|
Pre-question text:
|
Below you will find a list of various ailments. To what extent have you
experienced any of this during the Covid-19 pandemic?
|
Literal question:
|
Worrying too much
|
Technical description:
|
[Asked if r20group = 6]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21_covid_plager_5
Variable label:
|
Experienced to feel, during the Covid-19 pandemic: Hopelessness about
the future
|
Pre-question text:
|
Below you will find a list of various ailments. To what extent have you
experienced any of this during the Covid-19 pandemic?
|
Literal question:
|
Feelings of hopelessness about the future
|
Technical description:
|
[Asked if r20group = 6]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21covid1
Variable label:
|
Are you or have you been infected with the coronavirus?
|
Literal question:
|
Are you or have you been infected with the coronavirus?
|
Technical description:
|
[Asked if r20group = 6]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21covid2
Variable label:
|
Have you been unsure if you may be infected with the coronavirus?
|
Literal question:
|
Have you at any point been unsure if you may be infected with the
coronavirus?
|
Technical description:
|
[Asked if r21covid1 = 3 & r20group = 6]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21covid3
Variable label:
|
Have you been tested for possible Covid-19 infection or contacted a
doctor due to suspicion?
|
Literal question:
|
Have you been tested for possible Covid-19 infection or contacted a
doctor because you suspected you might be infected?
|
Technical description:
|
[Asked if r20group = 6]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21covid3_1_other
Variable label:
|
How many times: Tested for/contacted doctor due to possible Covid-19
infection?
|
Pre-question text:
|
Have you been tested for possible Covid-19 infection or contacted a
doctor because you suspected you might be infected?
|
Literal question:
|
times
|
Technical description:
|
[Asked if r20group = 6]
[Text data witheld due to privacy considerations. However, data can be
made available for researchers after contacting DIGSSCORE/University of
Bergen.]
|
Technical attributes:
|
[Question type:Single - Other] [Format:numeric] [Valid:0]
[Invalid:10040] [Range:-]
|
r21covid4_1
Variable label:
|
Have you during the pandemic been in: Isolation
|
Pre-question text:
|
Have you been in quarantine or isolation during the pandemic?
Explanation of the different terms:
Isolation means staying at home or another appropriate place all of
the time and not going out, with the exception of your own garden or a
private outside area, that you must stay at home at all times (or
another appropriate place) and are only allowed to be in your own garden
or outside area.
Quarantine means staying at home or another appropriate place and
avoiding anywhere you cannot maintain your distance from others, that
you must stay at home (or another appropriate place) and must avoid
anywhere you cannot maintain your distance from others.
Temporary quarantine is a temporary period where you stay at home while
waiting for the test results of a close contact who has possibly been
infected, when you must stay at home while waiting for the test results
of a close contact who may possibly have been infected.
|
Literal question:
|
Isolation (imposed by the health authorities)
|
Post-question:
|
Tick all that are relevant.
|
Technical description:
|
[Asked if r20group = 6]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21covid4_2
Variable label:
|
Have you during the pandemic been in: Voluntary isolation
|
Pre-question text:
|
Have you been in quarantine or isolation during the pandemic?
Explanation of the different terms:
Isolation means staying at home or another appropriate place all of
the time and not going out, with the exception of your own garden or a
private outside area, that you must stay at home at all times (or
another appropriate place) and are only allowed to be in your own garden
or outside area.
Quarantine means staying at home or another appropriate place and
avoiding anywhere you cannot maintain your distance from others, that
you must stay at home (or another appropriate place) and must avoid
anywhere you cannot maintain your distance from others.
Temporary quarantine is a temporary period where you stay at home while
waiting for the test results of a close contact who has possibly been
infected, when you must stay at home while waiting for the test results
of a close contact who may possibly have been infected.
|
Literal question:
|
Voluntary isolation
|
Post-question:
|
Tick all that are relevant.
|
Technical description:
|
[Asked if r20group = 6]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21covid4_3
Variable label:
|
Have you during the pandemic been in: Quarantine/temporary quarantine
|
Pre-question text:
|
Have you been in quarantine or isolation during the pandemic?
Explanation of the different terms:
Isolation means staying at home or another appropriate place all of
the time and not going out, with the exception of your own garden or a
private outside area, that you must stay at home at all times (or
another appropriate place) and are only allowed to be in your own garden
or outside area.
Quarantine means staying at home or another appropriate place and
avoiding anywhere you cannot maintain your distance from others, that
you must stay at home (or another appropriate place) and must avoid
anywhere you cannot maintain your distance from others.
Temporary quarantine is a temporary period where you stay at home while
waiting for the test results of a close contact who has possibly been
infected, when you must stay at home while waiting for the test results
of a close contact who may possibly have been infected.
|
Literal question:
|
Quarantine or temporary quarantine (imposed by the health authorities)
|
Post-question:
|
Tick all that are relevant.
|
Technical description:
|
[Asked if r20group = 6]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21covid4_4
Variable label:
|
Have you during the pandemic been in: Voluntary/temporary quarantine
|
Pre-question text:
|
Have you been in quarantine or isolation during the pandemic?
Explanation of the different terms:
Isolation means staying at home or another appropriate place all of
the time and not going out, with the exception of your own garden or a
private outside area, that you must stay at home at all times (or
another appropriate place) and are only allowed to be in your own garden
or outside area.
Quarantine means staying at home or another appropriate place and
avoiding anywhere you cannot maintain your distance from others, that
you must stay at home (or another appropriate place) and must avoid
anywhere you cannot maintain your distance from others.
Temporary quarantine is a temporary period where you stay at home while
waiting for the test results of a close contact who has possibly been
infected, when you must stay at home while waiting for the test results
of a close contact who may possibly have been infected.
|
Literal question:
|
Voluntary quarantine or temporary quarantine
|
Post-question:
|
Tick all that are relevant.
|
Technical description:
|
[Asked if r20group = 6]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21covid4_5
Variable label:
|
Have you during the pandemic been in: quarantine/isolation
|
Pre-question text:
|
Have you been in quarantine or isolation during the pandemic?
Explanation of the different terms:
Isolation means staying at home or another appropriate place all of
the time and not going out, with the exception of your own garden or a
private outside area, that you must stay at home at all times (or
another appropriate place) and are only allowed to be in your own garden
or outside area.
Quarantine means staying at home or another appropriate place and
avoiding anywhere you cannot maintain your distance from others, that
you must stay at home (or another appropriate place) and must avoid
anywhere you cannot maintain your distance from others.
Temporary quarantine is a temporary period where you stay at home while
waiting for the test results of a close contact who has possibly been
infected, when you must stay at home while waiting for the test results
of a close contact who may possibly have been infected.
|
Literal question:
|
No, I have not been in quarantine or isolation
|
Post-question:
|
Tick all that are relevant.
|
Technical description:
|
[Asked if r20group = 6]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21cov_psykac1
Variable label:
|
Agree/disagree: Do my best to follow the health authorities’ advice to
limit the risk of infection
|
Pre-question text:
|
To what extent do you agree or disagree with the following
statement:
|
Literal question:
|
I do my best to follow the health authorities’ advice to limit the risk
of infection (wash my hands frequently, avoid travel and situations
involving contact with other people, keep distance and avoid touching
things).
|
Technical description:
|
[Asked if r20group = 6]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Completely disagree |
71 |
3.6% |
0.035949367 |
2 |
Disagree |
10 |
0.5% |
0.005063291 |
3 |
Neither agree nor disagree |
40 |
2.0% |
0.020253165 |
4 |
Agree |
623 |
31.5% |
0.315443038 |
5 |
Completely agree |
1229 |
62.2% |
0.622278481 |
97 |
Not answered |
2 |
0.1% |
0.001012658 |
98 |
Not asked |
8065 |
|
NA |
r21meme_skatt1_ran1
Variable label:
|
NA
|
Technical description:
|
[Randomized if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:5132] [Invalid:4908]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
income |
1345 |
26.2% |
0.2620811 |
2 |
share dividends |
1237 |
24.1% |
0.2410366 |
4 |
wealth |
1291 |
25.2% |
0.2515588 |
5 |
inheritance |
1259 |
24.5% |
0.2453235 |
Sysmiss |
|
4908 |
|
NA |
r21meme_skatt1_ran2
Variable label:
|
NA
|
Technical description:
|
[Randomized if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:5132] [Invalid:4908]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
[blank] |
2612 |
50.9% |
0.5089634 |
2 |
for the richest |
2520 |
49.1% |
0.4910366 |
Sysmiss |
|
4908 |
|
NA |
r21meme_skatt1a
Variable label:
|
Good/bad proposal: Increase [different types of taxes] [/for the
richest]
|
Literal question:
|
How good or bad do you think the proposal is?
|
Technical description:
|
[Asked if (r19group != 3 & r20group != 6 & r16group != 6,7)]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Good proposal |
1335 |
26.0% |
0.26033541 |
2 |
Somewhat good proposal |
1287 |
25.1% |
0.25097504 |
3 |
Neither a good nor bad proposal |
850 |
16.6% |
0.16575663 |
4 |
Somewhat bad proposal |
716 |
14.0% |
0.13962559 |
5 |
Bad proposal |
931 |
18.2% |
0.18155226 |
97 |
Not answered |
9 |
0.2% |
0.00175507 |
98 |
Not asked |
4912 |
|
NA |
r21meme_skatt1b
Variable label:
|
How likely to vote for party that made proposal for [increased taxes]
|
Pre-question text:
|
How likely is it that you would vote for a party that made such a
proposal?
|
Technical description:
|
[Asked if (r19group != 3 & r20group != 6 & r16group != 6,7)]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Highly probable |
632 |
12.3% |
0.123244930 |
2 |
Likely |
918 |
17.9% |
0.179017161 |
3 |
Somewhat likely |
879 |
17.1% |
0.171411856 |
4 |
Neither likely nor unlikely |
1082 |
21.1% |
0.210998440 |
5 |
Somewhat unlikely |
481 |
9.4% |
0.093798752 |
6 |
Unlikely |
487 |
9.5% |
0.094968799 |
7 |
Highly unlikely |
635 |
12.4% |
0.123829953 |
97 |
Not answered |
14 |
0.3% |
0.002730109 |
98 |
Not asked |
4912 |
|
NA |
r21meme_skatt2_ran1
Variable label:
|
NA
|
Technical description:
|
[Randomized if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:5130] [Invalid:4910]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Inheritance tax should be reintroduced. |
985 |
19.2% |
0.1920078 |
2 |
Inheritance tax should be reintroduced in such a way that only those who inherit
large amounts must pay. |
1028 |
20.0% |
0.2003899 |
3 |
Inheritance tax should be reintroduced in such a way that only the rich have to
pay. |
1047 |
20.4% |
0.2040936 |
4 |
Inheritance tax should be reintroduced in such a way that only the richest have
to pay. |
1047 |
20.4% |
0.2040936 |
5 |
Inheritance tax should be reintroduced so that the State can spend the money on
reducing tax on income. |
1023 |
19.9% |
0.1994152 |
Sysmiss |
|
4910 |
|
NA |
r21meme_skatt2
Variable label:
|
How good/bad is proposal for [inherance tax]?
|
Pre-question text:
|
Look at the following political proposals:
Inheritance tax should be reintroduced [NA/in such a way that only those
who inherit large amounts must pay/in such a way that only the rich have
to pay/in such a way that only the richest have to pay/so that the State
can spend the money on reducing tax on income].
|
Literal question:
|
How good or bad do you think the proposal is?
|
Technical description:
|
[Asked if (r19group != 3 & r20group != 6 & r16group != 6,7)]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Good proposal |
940 |
18.4% |
0.183522062 |
2 |
Somewhat good proposal |
1126 |
22.0% |
0.219836002 |
3 |
Neither a good nor bad proposal |
812 |
15.9% |
0.158531824 |
4 |
Somewhat bad proposal |
842 |
16.4% |
0.164388911 |
5 |
Bad proposal |
1387 |
27.1% |
0.270792659 |
97 |
Not answered |
15 |
0.3% |
0.002928544 |
98 |
Not asked |
4918 |
|
NA |
r21oc1_ran1_1
Variable label:
|
Experiment. Man 1: Religion
|
Technical description:
|
[Randomized if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
[The alternatives ‘Christian’ and ‘Married by arranged marriage’ was
excluded as valid combination in randomisation.]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:5129] [Invalid:4911]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Muslim |
2610 |
50.9% |
0.5088711 |
2 |
Christian |
2519 |
49.1% |
0.4911289 |
Sysmiss |
|
4911 |
|
NA |
r21oc1_ran1_2
Variable label:
|
Experiment. Man 2: Religion
|
Technical description:
|
[Randomized if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
[The alternatives ‘Christian’ and ‘Married by arranged marriage’ was
excluded as valid combination in randomisation.]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:5129] [Invalid:4911]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Muslim |
2588 |
50.5% |
0.5045818 |
2 |
Christian |
2541 |
49.5% |
0.4954182 |
Sysmiss |
|
4911 |
|
NA |
r21oc1_ran2_1
Variable label:
|
Experiment. Man 1: Marital status
|
Technical description:
|
[Randomized if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
[The alternatives ‘Christian’ and ‘Married by arranged marriage’ was
excluded as valid combination in randomisation.]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:5129] [Invalid:4911]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Unmarried |
2158 |
42.1% |
0.4207448 |
2 |
Married by love |
2088 |
40.7% |
0.4070969 |
3 |
Married by arranged marriage |
883 |
17.2% |
0.1721583 |
Sysmiss |
|
4911 |
|
NA |
r21oc1_ran2_2
Variable label:
|
Experiment. Man 2: Marital status
|
Technical description:
|
[Randomized if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
[The alternatives ‘Christian’ and ‘Married by arranged marriage’ was
excluded as valid combination in randomisation.]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:5129] [Invalid:4911]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Unmarried |
2118 |
41.3% |
0.4129460 |
2 |
Married by love |
2154 |
42.0% |
0.4199649 |
3 |
Married by arranged marriage |
857 |
16.7% |
0.1670891 |
Sysmiss |
|
4911 |
|
NA |
r21oc1_ran3_1
Variable label:
|
Experiment. Man 1: Birth country
|
Technical description:
|
[Randomized if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:5129] [Invalid:4911]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Born in Norway |
1719 |
33.5% |
0.3351531 |
2 |
Born in Bosnia |
1735 |
33.8% |
0.3382726 |
3 |
Born in Syria |
1675 |
32.7% |
0.3265744 |
Sysmiss |
|
4911 |
|
NA |
r21oc1_ran3_2
Variable label:
|
Experiment. Man 2: Birth country
|
Technical description:
|
[Randomized if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:5129] [Invalid:4911]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Born in Norway |
1683 |
32.8% |
0.3281341 |
2 |
Born in Bosnia |
1682 |
32.8% |
0.3279392 |
3 |
Born in Syria |
1764 |
34.4% |
0.3439267 |
Sysmiss |
|
4911 |
|
NA |
r21oc1_ran4_1
Variable label:
|
Experiment. Man 1: Education level
|
Technical description:
|
[Randomized if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:5129] [Invalid:4911]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
did not complete upper secondary school |
1802 |
35.1% |
0.3513355 |
2 |
upper secondary school education |
1647 |
32.1% |
0.3211152 |
3 |
university graduate |
1680 |
32.8% |
0.3275492 |
Sysmiss |
|
4911 |
|
NA |
r21oc1_ran4_2
Variable label:
|
Experiment. Man 2: Education level
|
Technical description:
|
[Randomized if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:5129] [Invalid:4911]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
did not complete upper secondary school |
1676 |
32.7% |
0.3267694 |
2 |
upper secondary school education |
1775 |
34.6% |
0.3460714 |
3 |
university graduate |
1678 |
32.7% |
0.3271593 |
Sysmiss |
|
4911 |
|
NA |
r21oc1_ran5_1
Variable label:
|
Experiment. Man 1: Religiosity
|
Technical description:
|
[Randomized if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:5129] [Invalid:4911]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
is not religious |
1777 |
34.6% |
0.3464613 |
2 |
prays occasionally |
1600 |
31.2% |
0.3119516 |
3 |
prays several times a day |
1752 |
34.2% |
0.3415871 |
Sysmiss |
|
4911 |
|
NA |
r21oc1_ran5_2
Variable label:
|
Experiment. Man 2: Religiosity
|
Technical description:
|
[Randomized if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:5129] [Invalid:4911]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
is not religious |
1765 |
34.4% |
0.3441217 |
2 |
prays occasionally |
1640 |
32.0% |
0.3197504 |
3 |
prays several times a day |
1724 |
33.6% |
0.3361279 |
Sysmiss |
|
4911 |
|
NA |
r21oc1_ran6_1
Variable label:
|
Experiment. Man 1: Gay marriage
|
Technical description:
|
[Randomized if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:5129] [Invalid:4911]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
supports same-sex marriage |
2594 |
50.6% |
0.5057516 |
2 |
is against same-sex marriage |
2535 |
49.4% |
0.4942484 |
Sysmiss |
|
4911 |
|
NA |
r21oc1_ran6_2
Variable label:
|
Experiment. Man 2: Gay marriage
|
Technical description:
|
[Randomized if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:5129] [Invalid:4911]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
supports same-sex marriage |
2526 |
49.2% |
0.4924937 |
2 |
is against same-sex marriage |
2603 |
50.8% |
0.5075063 |
Sysmiss |
|
4911 |
|
NA |
r21oc1_ran7_1
Variable label:
|
Experiment. Man 1: Gender roles
|
Technical description:
|
[Randomized if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:5129] [Invalid:4911]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
believes women should obey their men |
1702 |
33.2% |
0.3318386 |
2 |
believes men and women should be equal |
1728 |
33.7% |
0.3369078 |
3 |
believes women should dress conservatively |
1699 |
33.1% |
0.3312537 |
Sysmiss |
|
4911 |
|
NA |
r21oc1_ran7_2
Variable label:
|
Experiment. Man 2: Gender roles
|
Technical description:
|
[Randomized if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:5129] [Invalid:4911]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
believes women should obey their men |
1753 |
34.2% |
0.3417820 |
2 |
believes men and women should be equal |
1740 |
33.9% |
0.3392474 |
3 |
believes women should dress conservatively |
1636 |
31.9% |
0.3189706 |
Sysmiss |
|
4911 |
|
NA |
r21oc1_order_1
Variable label:
|
Experiment. First attribute to be listed.
|
Technical description:
|
[Randomized if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
|
Technical attributes:
|
[Question type:Open Text List] [Format:character] [Valid:5129]
[Invalid:4911] [Range:-]
|
r21oc1_order_2
Variable label:
|
Experiment. Second attribute to be listed.
|
Technical description:
|
[Randomized if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
|
Technical attributes:
|
[Question type:Open Text List] [Format:character] [Valid:5129]
[Invalid:4911] [Range:-]
|
r21oc1_order_3
Variable label:
|
Experiment. Third attribute to be listed.
|
Technical description:
|
[Randomized if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
|
Technical attributes:
|
[Question type:Open Text List] [Format:character] [Valid:5129]
[Invalid:4911] [Range:-]
|
r21oc1_order_4
Variable label:
|
Experiment. Fourth attribute to be listed.
|
Technical description:
|
[Randomized if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
|
Technical attributes:
|
[Question type:Open Text List] [Format:character] [Valid:5129]
[Invalid:4911] [Range:-]
|
r21oc1_order_5
Variable label:
|
Experiment. Fifth attribute to be listed.
|
Technical description:
|
[Randomized if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
|
Technical attributes:
|
[Question type:Open Text List] [Format:character] [Valid:5129]
[Invalid:4911] [Range:-]
|
r21oc1_order_6
Variable label:
|
Experiment. Sixth attribute to be listed.
|
Technical description:
|
[Randomized if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
|
Technical attributes:
|
[Question type:Open Text List] [Format:character] [Valid:5129]
[Invalid:4911] [Range:-]
|
r21oc1_order_7
Variable label:
|
Experiment. Seventh attribute to be listed.
|
Technical description:
|
[Randomized if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
|
Technical attributes:
|
[Question type:Open Text List] [Format:character] [Valid:5129]
[Invalid:4911] [Range:-]
|
r21oc1
Variable label:
|
Which of two men would you rather have as a colleague?
|
Pre-question text:
|
Please consider the two profiles below carefully. Once you have
considered both profiles, you can answer the question below. You will
see a total of two profiles.
[The respondent was shown two randomized profiles based on r21oc1_ran1
through r21oc1_ran7]
|
Literal question:
|
Which of the two men would you rather have as a colleague?
|
Technical description:
|
[Asked if (r19group != 3 & r20group != 6 & r16group !=
6,7)]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Man 1 |
2440 |
48.4% |
0.48422306 |
2 |
Man 2 |
2339 |
46.4% |
0.46417940 |
97 |
Not answered |
260 |
5.2% |
0.05159754 |
98 |
Not asked |
5001 |
|
NA |
r21oc2
Variable label:
|
How would you feel about having man 1 as a colleague?
|
Literal question:
|
On a scale of 0 to 100, how would you feel about having man 1 as a
colleague?
|
Post-question:
|
Scores between 50 and 100 mean that you feel warmth and goodwill towards
him; scores between 0 and 50 mean you do not feel goodwill towards him
and did not think much of him. If you do not feel particularly warm or
cold towards him, you can give him a score of 50.
|
Technical description:
|
[Asked if (r19group != 3 & r20group != 6 & r16group != 6,7)]
|
Technical attributes:
|
[Question type:Numeric] [Format:numeric] [Valid:4802] [Invalid:5238]
[Range:0-100]
|
r21oc3
Variable label:
|
How would you feel about having man 2 as a colleague?
|
Literal question:
|
On a scale of 0 to 100, how would you feel about having man 2 as a
colleague?
|
Post-question:
|
Scores between 50 and 100 mean that you feel warmth and goodwill towards
him; scores between 0 and 50 mean you do not feel goodwill towards him
and did not think much of him. If you do not feel particularly warm or
cold towards him, you can give him a score of 50.
|
Technical description:
|
[Asked if (r19group != 3 & r20group != 6 & r16group != 6,7)]
|
Technical attributes:
|
[Question type:Numeric] [Format:numeric] [Valid:4793] [Invalid:5247]
[Range:0-100]
|
r21padkom1
Variable label:
|
Agree/disagree: The will of the majority should govern, even at the
expense of minorities
|
Literal question:
|
In Norway, the will of the majority should always govern, even at the
expense of the rights of minorities.
|
Technical description:
|
[Asked if r16group = 6,7]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Completely agree |
218 |
8.7% |
0.087409783 |
2 |
Somewhat agree |
773 |
31.0% |
0.309943865 |
3 |
Neither agree nor disagree |
504 |
20.2% |
0.202085004 |
4 |
Somewhat disagree |
659 |
26.4% |
0.264234162 |
5 |
Completely disagree |
323 |
13.0% |
0.129510826 |
97 |
Not answered |
17 |
0.7% |
0.006816359 |
98 |
Not asked |
7546 |
|
NA |
r21padkom2
Variable label:
|
Agree/disagree: A strong political leader is good, even if rules are
bend to get things done
|
Literal question:
|
A strong political leader is good for Norway, even if the leader bends
the rules to get things done.
|
Technical description:
|
[Asked if r16group = 6,7]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Completely agree |
99 |
4.0% |
0.03969527 |
2 |
Somewhat agree |
463 |
18.6% |
0.18564555 |
3 |
Neither agree nor disagree |
322 |
12.9% |
0.12910986 |
4 |
Somewhat disagree |
865 |
34.7% |
0.34683240 |
5 |
Completely disagree |
720 |
28.9% |
0.28869286 |
97 |
Not answered |
25 |
1.0% |
0.01002406 |
98 |
Not asked |
7546 |
|
NA |
r21padkom3
Variable label:
|
Agree/disagree: Norwegian citizens should have the last word in
important decisions via referendums
|
Literal question:
|
In Norway, Norwegian citizens should have the last word in important
political decisions via referendums.
|
Technical description:
|
[Asked if r16group = 6,7]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Completely agree |
668 |
26.8% |
0.267842823 |
2 |
Somewhat agree |
789 |
31.6% |
0.316359262 |
3 |
Neither agree nor disagree |
442 |
17.7% |
0.177225341 |
4 |
Somewhat disagree |
436 |
17.5% |
0.174819567 |
5 |
Completely disagree |
139 |
5.6% |
0.055733761 |
97 |
Not answered |
20 |
0.8% |
0.008019246 |
98 |
Not asked |
7546 |
|
NA |
r21padkom4
Variable label:
|
Agree/disagree: Courts must be able to stop the government if it
oversteps its authority
|
Literal question:
|
In Norway, courts must be able to stop the government if it oversteps
its authority.
|
Technical description:
|
[Asked if r16group = 6,7]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Completely agree |
1417 |
56.8% |
0.568163593 |
2 |
Somewhat agree |
708 |
28.4% |
0.283881315 |
3 |
Neither agree nor disagree |
211 |
8.5% |
0.084603047 |
4 |
Somewhat disagree |
93 |
3.7% |
0.037289495 |
5 |
Completely disagree |
44 |
1.8% |
0.017642342 |
97 |
Not answered |
21 |
0.8% |
0.008420209 |
98 |
Not asked |
7546 |
|
NA |
r21padkom5
Variable label:
|
Agree/disagree: If the majority in Norway change their minds, the
government should change its policy
|
Literal question:
|
If the majority in Norway change their minds, the government should
change its policy.
|
Technical description:
|
[Asked if r16group = 6,7]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Completely agree |
375 |
15.0% |
0.15036087 |
2 |
Somewhat agree |
889 |
35.6% |
0.35645549 |
3 |
Neither agree nor disagree |
662 |
26.5% |
0.26543705 |
4 |
Somewhat disagree |
390 |
15.6% |
0.15637530 |
5 |
Completely disagree |
151 |
6.1% |
0.06054531 |
97 |
Not answered |
27 |
1.1% |
0.01082598 |
98 |
Not asked |
7546 |
|
NA |
r21tdr16
Variable label:
|
How do you perceive the current economic situation to be in Norway?
|
Pre-question text:
|
How do you perceive the current economic situation to be in
Norway?
|
Literal question:
|
Do you think it is:
|
Technical description:
|
[Asked if r21group = 1]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very good |
508 |
25.5% |
0.255404726 |
2 |
Good |
1031 |
51.8% |
0.518350930 |
3 |
Quite good |
259 |
13.0% |
0.130216189 |
4 |
Neither good nor bad |
93 |
4.7% |
0.046757164 |
5 |
Quite bad |
70 |
3.5% |
0.035193565 |
6 |
Bad |
15 |
0.8% |
0.007541478 |
7 |
Very bad |
7 |
0.4% |
0.003519356 |
97 |
Not answered |
6 |
0.3% |
0.003016591 |
98 |
Not asked |
8051 |
|
NA |
r21tdr17
Variable label:
|
Economic situation in [region] compared to [region]
|
Literal question:
|
If you compare the economic situation in [region] with the rest of
Norway, do you consider the situation in [region] as better, worse or
the same?
|
Technical description:
|
[Asked if r21group = 1]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Better |
484 |
24.3% |
0.2433384 |
2 |
The same |
1212 |
60.9% |
0.6093514 |
3 |
Worse |
270 |
13.6% |
0.1357466 |
97 |
Not answered |
23 |
1.2% |
0.0115636 |
98 |
Not asked |
8051 |
|
NA |
r21tdr1_1
Variable label:
|
How strong connection to: The municipality you live in
|
Pre-question text:
|
How strong is your connection to:
|
Literal question:
|
The municipality you live in
|
Technical description:
|
[Asked if r21group = 1]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strong connection |
690 |
34.7% |
0.346907994 |
2 |
Connection |
774 |
38.9% |
0.389140271 |
3 |
Some connection |
357 |
17.9% |
0.179487179 |
4 |
Small connection |
134 |
6.7% |
0.067370538 |
5 |
No connection |
20 |
1.0% |
0.010055304 |
97 |
Not answered |
14 |
0.7% |
0.007038713 |
98 |
Not asked |
8051 |
|
NA |
r21tdr1_2
Variable label:
|
How strong connection to: The county you live in
|
Pre-question text:
|
How strong is your connection to:
|
Literal question:
|
The county you live in
|
Technical description:
|
[Asked if r21group = 1]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strong connection |
427 |
21.5% |
0.21468074 |
2 |
Connection |
694 |
34.9% |
0.34891905 |
3 |
Some connection |
442 |
22.2% |
0.22222222 |
4 |
Small connection |
289 |
14.5% |
0.14529915 |
5 |
No connection |
114 |
5.7% |
0.05731523 |
97 |
Not answered |
23 |
1.2% |
0.01156360 |
98 |
Not asked |
8051 |
|
NA |
r21tdr1_3
Variable label:
|
How strong connection to: Norway
|
Pre-question text:
|
How strong is your connection to:
|
Literal question:
|
Norway
|
Technical description:
|
[Asked if r21group = 1]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strong connection |
1397 |
70.2% |
0.702362996 |
2 |
Connection |
467 |
23.5% |
0.234791352 |
3 |
Some connection |
78 |
3.9% |
0.039215686 |
4 |
Small connection |
22 |
1.1% |
0.011060835 |
5 |
No connection |
4 |
0.2% |
0.002011061 |
97 |
Not answered |
21 |
1.1% |
0.010558069 |
98 |
Not asked |
8051 |
|
NA |
r21tdr19
Variable label:
|
Agree/disagree: Should transfer resources from rich to poor parts of the
country
|
Pre-question text:
|
To what extent do you agree with the following statement:
|
Literal question:
|
Economic resources should be transferred from the rich parts of the
country to parts that are not so rich, to ensure that everyone receives
public services of the same quality.
|
Technical description:
|
[Asked if r21group = 1]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
291 |
14.6% |
0.146304676 |
2 |
Agree |
688 |
34.6% |
0.345902464 |
3 |
Somewhat agree |
608 |
30.6% |
0.305681247 |
4 |
Neither agree nor disagree |
203 |
10.2% |
0.102061337 |
5 |
Somewhat disagree |
92 |
4.6% |
0.046254399 |
6 |
Disagree |
72 |
3.6% |
0.036199095 |
7 |
Strongly disagree |
22 |
1.1% |
0.011060835 |
97 |
Not answered |
13 |
0.7% |
0.006535948 |
98 |
Not asked |
8051 |
|
NA |
r21tdr20_1
Variable label:
|
Wins at least one district seat in your constituency: The Christian
Democrats
|
Pre-question text:
|
How likely do you think it is that the following parties will win at
least one district seat in your constituency?
|
Literal question:
|
The Christian Democrats
|
Post-question:
|
The 19 former counties make up the constituencies.
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Definitely not |
120 |
6.0% |
0.06033183 |
2 |
Unlikely |
329 |
16.5% |
0.16540975 |
3 |
Quite unlikely |
351 |
17.6% |
0.17647059 |
4 |
Neither likely nor unlikely |
506 |
25.4% |
0.25439920 |
5 |
Quite likely |
349 |
17.5% |
0.17546506 |
6 |
Likely |
149 |
7.5% |
0.07491202 |
7 |
Definitely |
65 |
3.3% |
0.03267974 |
97 |
Not answered |
120 |
6.0% |
0.06033183 |
98 |
Not asked |
8051 |
|
NA |
r21tdr20_2
Variable label:
|
Wins at least one district seat in your constituency: The Conservative
Party
|
Pre-question text:
|
How likely do you think it is that the following parties will win at
least one district seat in your constituency?
|
Literal question:
|
The Conservative Party
|
Post-question:
|
The 19 former counties make up the constituencies.
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Definitely not |
28 |
1.4% |
0.01407743 |
2 |
Unlikely |
36 |
1.8% |
0.01809955 |
3 |
Quite unlikely |
98 |
4.9% |
0.04927099 |
4 |
Neither likely nor unlikely |
201 |
10.1% |
0.10105581 |
5 |
Quite likely |
416 |
20.9% |
0.20915033 |
6 |
Likely |
423 |
21.3% |
0.21266968 |
7 |
Definitely |
685 |
34.4% |
0.34439417 |
97 |
Not answered |
102 |
5.1% |
0.05128205 |
98 |
Not asked |
8051 |
|
NA |
r21tdr20_3
Variable label:
|
Wins at least one district seat in your constituency: The Progressive
Party
|
Pre-question text:
|
How likely do you think it is that the following parties will win at
least one district seat in your constituency?
|
Literal question:
|
The Progressive Party
|
Post-question:
|
The 19 former counties make up the constituencies.
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Definitely not |
54 |
2.7% |
0.02714932 |
2 |
Unlikely |
107 |
5.4% |
0.05379588 |
3 |
Quite unlikely |
208 |
10.5% |
0.10457516 |
4 |
Neither likely nor unlikely |
356 |
17.9% |
0.17898441 |
5 |
Quite likely |
528 |
26.5% |
0.26546003 |
6 |
Likely |
350 |
17.6% |
0.17596782 |
7 |
Definitely |
271 |
13.6% |
0.13624937 |
97 |
Not answered |
115 |
5.8% |
0.05781800 |
98 |
Not asked |
8051 |
|
NA |
r21tdr20_4
Variable label:
|
Wins at least one district seat in your constituency: The Liberal Party
|
Pre-question text:
|
How likely do you think it is that the following parties will win at
least one district seat in your constituency?
|
Literal question:
|
The Liberal Party
|
Post-question:
|
The 19 former counties make up the constituencies.
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Definitely not |
118 |
5.9% |
0.05932629 |
2 |
Unlikely |
300 |
15.1% |
0.15082956 |
3 |
Quite unlikely |
368 |
18.5% |
0.18501760 |
4 |
Neither likely nor unlikely |
564 |
28.4% |
0.28355958 |
5 |
Quite likely |
340 |
17.1% |
0.17094017 |
6 |
Likely |
118 |
5.9% |
0.05932629 |
7 |
Definitely |
53 |
2.7% |
0.02664656 |
97 |
Not answered |
128 |
6.4% |
0.06435395 |
98 |
Not asked |
8051 |
|
NA |
r21tdr20_5
Variable label:
|
Wins at least one district seat in your constituency: The Centre Party
|
Pre-question text:
|
How likely do you think it is that the following parties will win at
least one district seat in your constituency?
|
Literal question:
|
The Centre Party
|
Post-question:
|
The 19 former counties make up the constituencies.
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Definitely not |
32 |
1.6% |
0.01608849 |
2 |
Unlikely |
67 |
3.4% |
0.03368527 |
3 |
Quite unlikely |
129 |
6.5% |
0.06485671 |
4 |
Neither likely nor unlikely |
295 |
14.8% |
0.14831574 |
5 |
Quite likely |
532 |
26.7% |
0.26747109 |
6 |
Likely |
444 |
22.3% |
0.22322775 |
7 |
Definitely |
384 |
19.3% |
0.19306184 |
97 |
Not answered |
106 |
5.3% |
0.05329311 |
98 |
Not asked |
8051 |
|
NA |
r21tdr20_6
Variable label:
|
Wins at least one district seat in your constituency: The Socialist Left
Party
|
Pre-question text:
|
How likely do you think it is that the following parties will win at
least one district seat in your constituency?
|
Literal question:
|
The Socialist Left Party
|
Post-question:
|
The 19 former counties make up the constituencies.
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Definitely not |
89 |
4.5% |
0.04474610 |
2 |
Unlikely |
157 |
7.9% |
0.07893414 |
3 |
Quite unlikely |
249 |
12.5% |
0.12518854 |
4 |
Neither likely nor unlikely |
465 |
23.4% |
0.23378582 |
5 |
Quite likely |
471 |
23.7% |
0.23680241 |
6 |
Likely |
262 |
13.2% |
0.13172448 |
7 |
Definitely |
172 |
8.6% |
0.08647562 |
97 |
Not answered |
124 |
6.2% |
0.06234289 |
98 |
Not asked |
8051 |
|
NA |
r21tdr20_7
Variable label:
|
Wins at least one district seat in your constituency: The Green Party
|
Pre-question text:
|
How likely do you think it is that the following parties will win at
least one district seat in your constituency?
|
Literal question:
|
The Green Party
|
Post-question:
|
The 19 former counties make up the constituencies.
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Definitely not |
206 |
10.4% |
0.10356963 |
2 |
Unlikely |
318 |
16.0% |
0.15987934 |
3 |
Quite unlikely |
285 |
14.3% |
0.14328808 |
4 |
Neither likely nor unlikely |
448 |
22.5% |
0.22523881 |
5 |
Quite likely |
356 |
17.9% |
0.17898441 |
6 |
Likely |
179 |
9.0% |
0.08999497 |
7 |
Definitely |
79 |
4.0% |
0.03971845 |
97 |
Not answered |
118 |
5.9% |
0.05932629 |
98 |
Not asked |
8051 |
|
NA |
r21tdr20_8
Variable label:
|
Wins at least one district seat in your constituency: The Labour Party
|
Pre-question text:
|
How likely do you think it is that the following parties will win at
least one district seat in your constituency?
|
Literal question:
|
The Labour Party
|
Post-question:
|
The 19 former counties make up the constituencies.
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Definitely not |
26 |
1.3% |
0.01307190 |
2 |
Unlikely |
23 |
1.2% |
0.01156360 |
3 |
Quite unlikely |
52 |
2.6% |
0.02614379 |
4 |
Neither likely nor unlikely |
165 |
8.3% |
0.08295626 |
5 |
Quite likely |
439 |
22.1% |
0.22071393 |
6 |
Likely |
460 |
23.1% |
0.23127200 |
7 |
Definitely |
728 |
36.6% |
0.36601307 |
97 |
Not answered |
96 |
4.8% |
0.04826546 |
98 |
Not asked |
8051 |
|
NA |
r21tdr20_9
Variable label:
|
Wins at least one district seat in your constituency: The Red Party
|
Pre-question text:
|
How likely do you think it is that the following parties will win at
least one district seat in your constituency?
|
Literal question:
|
The Red Party
|
Post-question:
|
The 19 former counties make up the constituencies.
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Definitely not |
235 |
11.8% |
0.11814982 |
2 |
Unlikely |
418 |
21.0% |
0.21015586 |
3 |
Quite unlikely |
391 |
19.7% |
0.19658120 |
4 |
Neither likely nor unlikely |
411 |
20.7% |
0.20663650 |
5 |
Quite likely |
239 |
12.0% |
0.12016088 |
6 |
Likely |
125 |
6.3% |
0.06284565 |
7 |
Definitely |
42 |
2.1% |
0.02111614 |
97 |
Not answered |
128 |
6.4% |
0.06435395 |
98 |
Not asked |
8051 |
|
NA |
r21tdr21_1
Variable label:
|
The following party will cross the election threshold: The Christian
Democrats
|
Pre-question text:
|
How likely do you think it is that the following parties will cross the
election threshold (4% of the votes nationwide)?
|
Literal question:
|
The Christian Democrats
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Definitely not |
78 |
3.9% |
0.03921569 |
2 |
Unlikely |
227 |
11.4% |
0.11412770 |
3 |
Quite unlikely |
420 |
21.1% |
0.21116139 |
4 |
Neither likely nor unlikely |
623 |
31.3% |
0.31322272 |
5 |
Quite likely |
428 |
21.5% |
0.21518351 |
6 |
Likely |
111 |
5.6% |
0.05580694 |
7 |
Definitely |
30 |
1.5% |
0.01508296 |
97 |
Not answered |
72 |
3.6% |
0.03619910 |
98 |
Not asked |
8051 |
|
NA |
r21tdr21_2
Variable label:
|
The following party will cross the election threshold: The Liberal Party
|
Pre-question text:
|
How likely do you think it is that the following parties will cross the
election threshold (4% of the votes nationwide)?
|
Literal question:
|
The Liberal Party
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Definitely not |
82 |
4.1% |
0.04122675 |
2 |
Unlikely |
205 |
10.3% |
0.10306687 |
3 |
Quite unlikely |
458 |
23.0% |
0.23026647 |
4 |
Neither likely nor unlikely |
646 |
32.5% |
0.32478632 |
5 |
Quite likely |
368 |
18.5% |
0.18501760 |
6 |
Likely |
130 |
6.5% |
0.06535948 |
7 |
Definitely |
23 |
1.2% |
0.01156360 |
97 |
Not answered |
77 |
3.9% |
0.03871292 |
98 |
Not asked |
8051 |
|
NA |
r21tdr21_3
Variable label:
|
The following party will cross the election threshold: The Socialist
Left Party
|
Pre-question text:
|
How likely do you think it is that the following parties will cross the
election threshold (4% of the votes nationwide)?
|
Literal question:
|
The Socialist Left Party
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Definitely not |
20 |
1.0% |
0.01005530 |
2 |
Unlikely |
67 |
3.4% |
0.03368527 |
3 |
Quite unlikely |
141 |
7.1% |
0.07088989 |
4 |
Neither likely nor unlikely |
301 |
15.1% |
0.15133233 |
5 |
Quite likely |
607 |
30.5% |
0.30517848 |
6 |
Likely |
420 |
21.1% |
0.21116139 |
7 |
Definitely |
354 |
17.8% |
0.17797888 |
97 |
Not answered |
79 |
4.0% |
0.03971845 |
98 |
Not asked |
8051 |
|
NA |
r21tdr21_4
Variable label:
|
The following party will cross the election threshold: The Green Party
|
Pre-question text:
|
How likely do you think it is that the following parties will cross the
election threshold (4% of the votes nationwide)?
|
Literal question:
|
The Green Party
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Definitely not |
103 |
5.2% |
0.05178482 |
2 |
Unlikely |
174 |
8.7% |
0.08748115 |
3 |
Quite unlikely |
277 |
13.9% |
0.13926596 |
4 |
Neither likely nor unlikely |
471 |
23.7% |
0.23680241 |
5 |
Quite likely |
599 |
30.1% |
0.30115636 |
6 |
Likely |
230 |
11.6% |
0.11563600 |
7 |
Definitely |
64 |
3.2% |
0.03217697 |
97 |
Not answered |
71 |
3.6% |
0.03569633 |
98 |
Not asked |
8051 |
|
NA |
r21tdr21_5
Variable label:
|
The following party will cross the election threshold: The Red Party
|
Pre-question text:
|
How likely do you think it is that the following parties will cross the
election threshold (4% of the votes nationwide)?
|
Literal question:
|
The Red Party
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Definitely not |
106 |
5.3% |
0.05329311 |
2 |
Unlikely |
252 |
12.7% |
0.12669683 |
3 |
Quite unlikely |
410 |
20.6% |
0.20613374 |
4 |
Neither likely nor unlikely |
536 |
26.9% |
0.26948215 |
5 |
Quite likely |
419 |
21.1% |
0.21065862 |
6 |
Likely |
159 |
8.0% |
0.07993967 |
7 |
Definitely |
27 |
1.4% |
0.01357466 |
97 |
Not answered |
80 |
4.0% |
0.04022122 |
98 |
Not asked |
8051 |
|
NA |
r21tdr22_1
Variable label:
|
Want the following party to enter government after the election: The
Christian Democrats
|
Pre-question text:
|
To what extent do you want the following parties to enter government
after the parliamentary election?
|
Literal question:
|
The Christian Democrats
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Not desirable at all |
593 |
29.8% |
0.29813977 |
2 |
Undesirable |
311 |
15.6% |
0.15635998 |
3 |
Somewhat undesirable |
240 |
12.1% |
0.12066365 |
4 |
Neither desirable nor undesirable |
336 |
16.9% |
0.16892911 |
5 |
Somewhat desirable |
207 |
10.4% |
0.10407240 |
6 |
Desirable |
130 |
6.5% |
0.06535948 |
7 |
Highly desirable |
61 |
3.1% |
0.03066868 |
97 |
Not answered |
111 |
5.6% |
0.05580694 |
98 |
Not asked |
8051 |
|
NA |
r21tdr22_2
Variable label:
|
Want the following party to enter government after the election: The
Conservative Party
|
Pre-question text:
|
To what extent do you want the following parties to enter government
after the parliamentary election?
|
Literal question:
|
The Conservative Party
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Not desirable at all |
340 |
17.1% |
0.17094017 |
2 |
Undesirable |
221 |
11.1% |
0.11111111 |
3 |
Somewhat undesirable |
207 |
10.4% |
0.10407240 |
4 |
Neither desirable nor undesirable |
207 |
10.4% |
0.10407240 |
5 |
Somewhat desirable |
249 |
12.5% |
0.12518854 |
6 |
Desirable |
326 |
16.4% |
0.16390146 |
7 |
Highly desirable |
334 |
16.8% |
0.16792358 |
97 |
Not answered |
105 |
5.3% |
0.05279035 |
98 |
Not asked |
8051 |
|
NA |
r21tdr22_3
Variable label:
|
Want the following party to enter government after the election: The
Progress Party
|
Pre-question text:
|
To what extent do you want the following parties to enter government
after the parliamentary election?
|
Literal question:
|
The Progressive Party
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Not desirable at all |
825 |
41.5% |
0.41478130 |
2 |
Undesirable |
257 |
12.9% |
0.12921066 |
3 |
Somewhat undesirable |
149 |
7.5% |
0.07491202 |
4 |
Neither desirable nor undesirable |
194 |
9.8% |
0.09753645 |
5 |
Somewhat desirable |
202 |
10.2% |
0.10155857 |
6 |
Desirable |
141 |
7.1% |
0.07088989 |
7 |
Highly desirable |
110 |
5.5% |
0.05530417 |
97 |
Not answered |
111 |
5.6% |
0.05580694 |
98 |
Not asked |
8051 |
|
NA |
r21tdr22_4
Variable label:
|
Want the following party to enter government after the election: The
Liberal Party
|
Pre-question text:
|
To what extent do you want the following parties to enter government
after the parliamentary election?
|
Literal question:
|
The Liberal Party
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Not desirable at all |
420 |
21.1% |
0.21116139 |
2 |
Undesirable |
244 |
12.3% |
0.12267471 |
3 |
Somewhat undesirable |
228 |
11.5% |
0.11463047 |
4 |
Neither desirable nor undesirable |
410 |
20.6% |
0.20613374 |
5 |
Somewhat desirable |
296 |
14.9% |
0.14881850 |
6 |
Desirable |
204 |
10.3% |
0.10256410 |
7 |
Highly desirable |
76 |
3.8% |
0.03821016 |
97 |
Not answered |
111 |
5.6% |
0.05580694 |
98 |
Not asked |
8051 |
|
NA |
r21tdr22_5
Variable label:
|
Want the following party to enter government after the election: The
Centre Party
|
Pre-question text:
|
To what extent do you want the following parties to enter government
after the parliamentary election?
|
Literal question:
|
The Centre Party
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Not desirable at all |
188 |
9.5% |
0.09451986 |
2 |
Undesirable |
141 |
7.1% |
0.07088989 |
3 |
Somewhat undesirable |
183 |
9.2% |
0.09200603 |
4 |
Neither desirable nor undesirable |
319 |
16.0% |
0.16038210 |
5 |
Somewhat desirable |
437 |
22.0% |
0.21970840 |
6 |
Desirable |
372 |
18.7% |
0.18702866 |
7 |
Highly desirable |
265 |
13.3% |
0.13323278 |
97 |
Not answered |
84 |
4.2% |
0.04223228 |
98 |
Not asked |
8051 |
|
NA |
r21tdr22_6
Variable label:
|
Want the following party to enter government after the election: The
Socialist Left Party
|
Pre-question text:
|
To what extent do you want the following parties to enter government
after the parliamentary election?
|
Literal question:
|
The Socialist Left Party
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Not desirable at all |
362 |
18.2% |
0.18200101 |
2 |
Undesirable |
214 |
10.8% |
0.10759175 |
3 |
Somewhat undesirable |
201 |
10.1% |
0.10105581 |
4 |
Neither desirable nor undesirable |
294 |
14.8% |
0.14781297 |
5 |
Somewhat desirable |
291 |
14.6% |
0.14630468 |
6 |
Desirable |
272 |
13.7% |
0.13675214 |
7 |
Highly desirable |
251 |
12.6% |
0.12619407 |
97 |
Not answered |
104 |
5.2% |
0.05228758 |
98 |
Not asked |
8051 |
|
NA |
r21tdr22_7
Variable label:
|
Want the following party to enter government after the election: The
Green Party
|
Pre-question text:
|
To what extent do you want the following parties to enter government
after the parliamentary election?
|
Literal question:
|
The Green Party
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Not desirable at all |
587 |
29.5% |
0.29512318 |
2 |
Undesirable |
242 |
12.2% |
0.12166918 |
3 |
Somewhat undesirable |
187 |
9.4% |
0.09401709 |
4 |
Neither desirable nor undesirable |
239 |
12.0% |
0.12016088 |
5 |
Somewhat desirable |
287 |
14.4% |
0.14429361 |
6 |
Desirable |
203 |
10.2% |
0.10206134 |
7 |
Highly desirable |
125 |
6.3% |
0.06284565 |
97 |
Not answered |
119 |
6.0% |
0.05982906 |
98 |
Not asked |
8051 |
|
NA |
r21tdr22_8
Variable label:
|
Want the following party to enter government after the election: The
Labour Party
|
Pre-question text:
|
To what extent do you want the following parties to enter government
after the parliamentary election?
|
Literal question:
|
The Labour Party
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Not desirable at all |
124 |
6.2% |
0.06234289 |
2 |
Undesirable |
118 |
5.9% |
0.05932629 |
3 |
Somewhat undesirable |
158 |
7.9% |
0.07943690 |
4 |
Neither desirable nor undesirable |
246 |
12.4% |
0.12368024 |
5 |
Somewhat desirable |
331 |
16.6% |
0.16641528 |
6 |
Desirable |
477 |
24.0% |
0.23981900 |
7 |
Highly desirable |
449 |
22.6% |
0.22574158 |
97 |
Not answered |
86 |
4.3% |
0.04323781 |
98 |
Not asked |
8051 |
|
NA |
r21tdr22_9
Variable label:
|
Want the following party to enter government after the election: The Red
Party
|
Pre-question text:
|
To what extent do you want the following parties to enter government
after the parliamentary election?
|
Literal question:
|
The Red Party
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Not desirable at all |
619 |
31.1% |
0.31121166 |
2 |
Undesirable |
257 |
12.9% |
0.12921066 |
3 |
Somewhat undesirable |
198 |
10.0% |
0.09954751 |
4 |
Neither desirable nor undesirable |
289 |
14.5% |
0.14529915 |
5 |
Somewhat desirable |
245 |
12.3% |
0.12317748 |
6 |
Desirable |
149 |
7.5% |
0.07491202 |
7 |
Highly desirable |
111 |
5.6% |
0.05580694 |
97 |
Not answered |
121 |
6.1% |
0.06083459 |
98 |
Not asked |
8051 |
|
NA |
r21tdr23_1
Variable label:
|
Following party will actually enter government after the election: The
Christian Democrats
|
Pre-question text:
|
How likely do you think it is that the following parties will actually
enter government after the upcoming parliamentary election?
|
Literal question:
|
The Christian Democrats
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Definitely not |
274 |
13.8% |
0.137757667 |
2 |
Unlikely |
427 |
21.5% |
0.214680744 |
3 |
Quite unlikely |
436 |
21.9% |
0.219205631 |
4 |
Neither likely nor unlikely |
431 |
21.7% |
0.216691805 |
5 |
Quite likely |
189 |
9.5% |
0.095022624 |
6 |
Likely |
57 |
2.9% |
0.028657617 |
7 |
Definitely |
16 |
0.8% |
0.008044243 |
97 |
Not answered |
159 |
8.0% |
0.079939668 |
98 |
Not asked |
8051 |
|
NA |
r21tdr23_2
Variable label:
|
Following party will actually enter government after the election: The
Conservative Party
|
Pre-question text:
|
How likely do you think it is that the following parties will actually
enter government after the upcoming parliamentary election?
|
Literal question:
|
The Conservative Party
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Definitely not |
196 |
9.9% |
0.09854198 |
2 |
Unlikely |
257 |
12.9% |
0.12921066 |
3 |
Quite unlikely |
419 |
21.1% |
0.21065862 |
4 |
Neither likely nor unlikely |
363 |
18.3% |
0.18250377 |
5 |
Quite likely |
297 |
14.9% |
0.14932127 |
6 |
Likely |
236 |
11.9% |
0.11865259 |
7 |
Definitely |
64 |
3.2% |
0.03217697 |
97 |
Not answered |
157 |
7.9% |
0.07893414 |
98 |
Not asked |
8051 |
|
NA |
r21tdr23_3
Variable label:
|
Following party will actually enter government after the election: The
Progressive Party
|
Pre-question text:
|
How likely do you think it is that the following parties will actually
enter government after the upcoming parliamentary election?
|
Literal question:
|
The Progressive Party
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Definitely not |
416 |
20.9% |
0.20915033 |
2 |
Unlikely |
472 |
23.7% |
0.23730518 |
3 |
Quite unlikely |
376 |
18.9% |
0.18903972 |
4 |
Neither likely nor unlikely |
295 |
14.8% |
0.14831574 |
5 |
Quite likely |
172 |
8.6% |
0.08647562 |
6 |
Likely |
77 |
3.9% |
0.03871292 |
7 |
Definitely |
22 |
1.1% |
0.01106083 |
97 |
Not answered |
159 |
8.0% |
0.07993967 |
98 |
Not asked |
8051 |
|
NA |
r21tdr23_4
Variable label:
|
Following party will actually enter government after the election: The
Liberal Party
|
Pre-question text:
|
How likely do you think it is that the following parties will actually
enter government after the upcoming parliamentary election?
|
Literal question:
|
The Liberal Party
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Definitely not |
260 |
13.1% |
0.130718954 |
2 |
Unlikely |
387 |
19.5% |
0.194570136 |
3 |
Quite unlikely |
471 |
23.7% |
0.236802413 |
4 |
Neither likely nor unlikely |
430 |
21.6% |
0.216189040 |
5 |
Quite likely |
196 |
9.9% |
0.098541981 |
6 |
Likely |
67 |
3.4% |
0.033685269 |
7 |
Definitely |
15 |
0.8% |
0.007541478 |
97 |
Not answered |
163 |
8.2% |
0.081950729 |
98 |
Not asked |
8051 |
|
NA |
r21tdr23_5
Variable label:
|
Following party will actually enter government after the election: The
Centre Party
|
Pre-question text:
|
How likely do you think it is that the following parties will actually
enter government after the upcoming parliamentary election?
|
Literal question:
|
The Centre Party
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Definitely not |
18 |
0.9% |
0.009049774 |
2 |
Unlikely |
26 |
1.3% |
0.013071895 |
3 |
Quite unlikely |
56 |
2.8% |
0.028154852 |
4 |
Neither likely nor unlikely |
257 |
12.9% |
0.129210659 |
5 |
Quite likely |
642 |
32.3% |
0.322775264 |
6 |
Likely |
644 |
32.4% |
0.323780794 |
7 |
Definitely |
252 |
12.7% |
0.126696833 |
97 |
Not answered |
94 |
4.7% |
0.047259930 |
98 |
Not asked |
8051 |
|
NA |
r21tdr23_6
Variable label:
|
Following party will actually enter government after the election: The
Socialist Left Party
|
Pre-question text:
|
How likely do you think it is that the following parties will actually
enter government after the upcoming parliamentary election?
|
Literal question:
|
The Socialist Left Party
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Definitely not |
62 |
3.1% |
0.03117144 |
2 |
Unlikely |
121 |
6.1% |
0.06083459 |
3 |
Quite unlikely |
234 |
11.8% |
0.11764706 |
4 |
Neither likely nor unlikely |
437 |
22.0% |
0.21970840 |
5 |
Quite likely |
600 |
30.2% |
0.30165913 |
6 |
Likely |
341 |
17.1% |
0.17144294 |
7 |
Definitely |
75 |
3.8% |
0.03770739 |
97 |
Not answered |
119 |
6.0% |
0.05982906 |
98 |
Not asked |
8051 |
|
NA |
r21tdr23_7
Variable label:
|
Following party will actually enter government after the election: The
Green Party
|
Pre-question text:
|
How likely do you think it is that the following parties will actually
enter government after the upcoming parliamentary election?
|
Literal question:
|
The Green Party
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Definitely not |
313 |
15.7% |
0.157365510 |
2 |
Unlikely |
363 |
18.3% |
0.182503771 |
3 |
Quite unlikely |
380 |
19.1% |
0.191050779 |
4 |
Neither likely nor unlikely |
437 |
22.0% |
0.219708396 |
5 |
Quite likely |
240 |
12.1% |
0.120663650 |
6 |
Likely |
77 |
3.9% |
0.038712921 |
7 |
Definitely |
15 |
0.8% |
0.007541478 |
97 |
Not answered |
164 |
8.2% |
0.082453494 |
98 |
Not asked |
8051 |
|
NA |
r21tdr23_8
Variable label:
|
Following party will actually enter government after the election: The
Labour Party
|
Pre-question text:
|
How likely do you think it is that the following parties will actually
enter government after the upcoming parliamentary election?
|
Literal question:
|
The Labour Party
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Definitely not |
20 |
1.0% |
0.010055304 |
2 |
Unlikely |
17 |
0.9% |
0.008547009 |
3 |
Quite unlikely |
39 |
2.0% |
0.019607843 |
4 |
Neither likely nor unlikely |
173 |
8.7% |
0.086978381 |
5 |
Quite likely |
541 |
27.2% |
0.271995978 |
6 |
Likely |
738 |
37.1% |
0.371040724 |
7 |
Definitely |
371 |
18.7% |
0.186525892 |
97 |
Not answered |
90 |
4.5% |
0.045248869 |
98 |
Not asked |
8051 |
|
NA |
r21tdr23_9
Variable label:
|
Following party will actually enter government after the election: The
Red Party
|
Pre-question text:
|
How likely do you think it is that the following parties will actually
enter government after the upcoming parliamentary election?
|
Literal question:
|
The Red Party
|
Technical description:
|
[Asked if r21group = 1]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Definitely not |
465 |
23.4% |
0.233785822 |
2 |
Unlikely |
442 |
22.2% |
0.222222222 |
3 |
Quite unlikely |
391 |
19.7% |
0.196581197 |
4 |
Neither likely nor unlikely |
380 |
19.1% |
0.191050779 |
5 |
Quite likely |
96 |
4.8% |
0.048265460 |
6 |
Likely |
42 |
2.1% |
0.021116139 |
7 |
Definitely |
8 |
0.4% |
0.004022122 |
97 |
Not answered |
165 |
8.3% |
0.082956259 |
98 |
Not asked |
8051 |
|
NA |
r21km_ansvar_1
Variable label:
|
Responsible for cutting greenhouse gas emissions: The international
community
|
Pre-question text:
|
To what extent do you think the following stakeholders are responsible
for cutting greenhouse gas emissions?
|
Literal question:
|
The international community
|
Technical description:
|
[Asked if r21group = 2]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Not at all |
19 |
0.9% |
0.009359606 |
2 |
To a small extent |
29 |
1.4% |
0.014285714 |
3 |
To some extent |
175 |
8.6% |
0.086206897 |
4 |
To a large extent |
759 |
37.4% |
0.373891626 |
5 |
To a very large extent |
1031 |
50.8% |
0.507881773 |
97 |
Not answered |
17 |
0.8% |
0.008374384 |
98 |
Not asked |
8010 |
|
NA |
r21km_ansvar_2
Variable label:
|
Responsible for cutting greenhouse gas emissions: National authorities
|
Pre-question text:
|
To what extent do you think the following stakeholders are responsible
for cutting greenhouse gas emissions?
|
Literal question:
|
National authorities (the State)
|
Technical description:
|
[Asked if r21group = 2]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Not at all |
25 |
1.2% |
0.01231527 |
2 |
To a small extent |
48 |
2.4% |
0.02364532 |
3 |
To some extent |
316 |
15.6% |
0.15566502 |
4 |
To a large extent |
806 |
39.7% |
0.39704433 |
5 |
To a very large extent |
810 |
39.9% |
0.39901478 |
97 |
Not answered |
25 |
1.2% |
0.01231527 |
98 |
Not asked |
8010 |
|
NA |
r21km_ansvar_3
Variable label:
|
Responsible for cutting greenhouse gas emissions: Local/regional
authorities
|
Pre-question text:
|
To what extent do you think the following stakeholders are responsible
for cutting greenhouse gas emissions?
|
Literal question:
|
Local and regional authorities (municipality and county)
|
Technical description:
|
[Asked if r21group = 2]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Not at all |
42 |
2.1% |
0.02068966 |
2 |
To a small extent |
131 |
6.5% |
0.06453202 |
3 |
To some extent |
535 |
26.4% |
0.26354680 |
4 |
To a large extent |
797 |
39.3% |
0.39261084 |
5 |
To a very large extent |
499 |
24.6% |
0.24581281 |
97 |
Not answered |
26 |
1.3% |
0.01280788 |
98 |
Not asked |
8010 |
|
NA |
r21km_ansvar_4
Variable label:
|
Responsible for cutting greenhouse gas emissions: Private trade and
industry
|
Pre-question text:
|
To what extent do you think the following stakeholders are responsible
for cutting greenhouse gas emissions?
|
Literal question:
|
Private trade and industry
|
Technical description:
|
[Asked if r21group = 2]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Not at all |
32 |
1.6% |
0.01576355 |
2 |
To a small extent |
75 |
3.7% |
0.03694581 |
3 |
To some extent |
435 |
21.4% |
0.21428571 |
4 |
To a large extent |
840 |
41.4% |
0.41379310 |
5 |
To a very large extent |
620 |
30.5% |
0.30541872 |
97 |
Not answered |
28 |
1.4% |
0.01379310 |
98 |
Not asked |
8010 |
|
NA |
r21km_ansvar_5
Variable label:
|
Responsible for cutting greenhouse gas emissions: Individuals
|
Pre-question text:
|
To what extent do you think the following stakeholders are responsible
for cutting greenhouse gas emissions?
|
Literal question:
|
Individuals
|
Technical description:
|
[Asked if r21group = 2]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Not at all |
66 |
3.3% |
0.03251232 |
2 |
To a small extent |
230 |
11.3% |
0.11330049 |
3 |
To some extent |
637 |
31.4% |
0.31379310 |
4 |
To a large extent |
673 |
33.2% |
0.33152709 |
5 |
To a very large extent |
399 |
19.7% |
0.19655172 |
97 |
Not answered |
25 |
1.2% |
0.01231527 |
98 |
Not asked |
8010 |
|
NA |
r21padkom13_1
Variable label:
|
Agree/disagree: I am able to get all public benifits I am entitled to
|
Pre-question text:
|
In general, how much do you agree or disagree with the following
statements?
|
Literal question:
|
I am able to obtain all public benefits, services and permits that I am
entitled to.
|
Technical description:
|
[Asked if r21group = 2]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
131 |
6.5% |
0.064532020 |
2 |
Agree |
625 |
30.8% |
0.307881773 |
3 |
Agree somewhat |
514 |
25.3% |
0.253201970 |
4 |
Neither agree nor disagree |
276 |
13.6% |
0.135960591 |
5 |
Disagree somewhat |
310 |
15.3% |
0.152709360 |
6 |
Disagree |
117 |
5.8% |
0.057635468 |
7 |
Strongly disagree |
40 |
2.0% |
0.019704433 |
97 |
Not answered |
17 |
0.8% |
0.008374384 |
98 |
Not asked |
8010 |
|
NA |
r21padkom13_2
Variable label:
|
Agree/disagree: Public admistration is too complicated for people like
me to understand.
|
Pre-question text:
|
In general, how much do you agree or disagree with the following
statements?
|
Literal question:
|
The public administration is so complicated that people like me are
unable to understand what is going on within varios agencies,
directorates, municipalities, and so on.
|
Technical description:
|
[Asked if r21group = 2]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
149 |
7.3% |
0.07339901 |
2 |
Agree |
388 |
19.1% |
0.19113300 |
3 |
Agree somewhat |
693 |
34.1% |
0.34137931 |
4 |
Neither agree nor disagree |
198 |
9.8% |
0.09753695 |
5 |
Disagree somewhat |
260 |
12.8% |
0.12807882 |
6 |
Disagree |
268 |
13.2% |
0.13201970 |
7 |
Strongly disagree |
53 |
2.6% |
0.02610837 |
97 |
Not answered |
21 |
1.0% |
0.01034483 |
98 |
Not asked |
8010 |
|
NA |
r21padkom14_1
Variable label:
|
Agree/disagree: Public servants do not care about the needs of people
like med
|
Pre-question text:
|
In general, how much do you agree or disagree with the following
statements?
|
Literal question:
|
Those who work in the public administration do not care about the needs
of people like me.
|
Technical description:
|
[Asked if r21group = 2]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
87 |
4.3% |
0.04285714 |
2 |
Agree |
196 |
9.7% |
0.09655172 |
3 |
Agree somewhat |
419 |
20.6% |
0.20640394 |
4 |
Neither agree nor disagree |
450 |
22.2% |
0.22167488 |
5 |
Disagree somewhat |
333 |
16.4% |
0.16403941 |
6 |
Disagree |
440 |
21.7% |
0.21674877 |
7 |
Strongly disagree |
82 |
4.0% |
0.04039409 |
97 |
Not answered |
23 |
1.1% |
0.01133005 |
98 |
Not asked |
8010 |
|
NA |
r21padkom14_2
Variable label:
|
Agree/disagree: Caseworkers in public administration care only about
technical aspects of cases.
|
Pre-question text:
|
In general, how much do you agree or disagree with the following
statements?
|
Literal question:
|
Caseworkers in the public administration are only interested in the
technical aspects of the case, not what those affected actually want.
|
Technical description:
|
[Asked if r21group = 2]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
116 |
5.7% |
0.05714286 |
2 |
Agree |
249 |
12.3% |
0.12266010 |
3 |
Agree somewhat |
558 |
27.5% |
0.27487685 |
4 |
Neither agree nor disagree |
442 |
21.8% |
0.21773399 |
5 |
Disagree somewhat |
277 |
13.6% |
0.13645320 |
6 |
Disagree |
316 |
15.6% |
0.15566502 |
7 |
Strongly disagree |
47 |
2.3% |
0.02315271 |
97 |
Not answered |
25 |
1.2% |
0.01231527 |
98 |
Not asked |
8010 |
|
NA |
r21padkom15
Variable label:
|
Generally speaking, how much confidence do you have in NAV as an
institution?
|
Literal question:
|
Generally speaking, how much confidence do you have in NAV as an
institution?
|
Technical description:
|
[Asked if r21group = 2]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very high confidence |
45 |
2.2% |
0.02216749 |
2 |
High confidence |
761 |
37.5% |
0.37487685 |
3 |
Some confidence |
879 |
43.3% |
0.43300493 |
4 |
Little confidence |
265 |
13.1% |
0.13054187 |
5 |
No confidence at all |
59 |
2.9% |
0.02906404 |
97 |
Not answered |
21 |
1.0% |
0.01034483 |
98 |
Not asked |
8010 |
|
NA |
r21padkom16
Variable label:
|
Generally speaking, how much would you say you know about NAV?
|
Literal question:
|
Generally speaking, how much would you say you know about NAV?
|
Technical description:
|
[Asked if r21group = 2]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
A great deal |
99 |
4.9% |
0.04876847 |
2 |
A lot |
339 |
16.7% |
0.16699507 |
3 |
Quite a lot |
748 |
36.8% |
0.36847291 |
4 |
Not much |
775 |
38.2% |
0.38177340 |
5 |
Nothing at all |
34 |
1.7% |
0.01674877 |
97 |
Not answered |
35 |
1.7% |
0.01724138 |
98 |
Not asked |
8010 |
|
NA |
r21padkom17_1_1
Variable label:
|
Personal experience with NAV in the area: Family
|
Pre-question text:
|
Do you have any experience with NAV, personally or as next of kin, in
the following areas?
|
Literal question:
|
Family (child benefit, parental benefit, cash grants for families with
small children, benefits for single parents, child support payments)
|
Post-question:
|
Please tick every relevant box.
|
Technical description:
|
[Asked if r21group = 2]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21padkom17_1_2
Variable label:
|
Experience with NAV as next of kin in the area: Family
|
Pre-question text:
|
Do you have any experience with NAV, personally or as next of kin, in
the following areas?
|
Literal question:
|
Family (child benefit, parental benefit, cash grants for families with
small children, benefits for single parents, child support payments)
|
Post-question:
|
Please tick every relevant box.
|
Technical description:
|
[Asked if r21group = 2]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21padkom17_1_3
Variable label:
|
No experience with NAV in the area: Family
|
Pre-question text:
|
Do you have any experience with NAV, personally or as next of kin, in
the following areas?
|
Literal question:
|
Family (child benefit, parental benefit, cash grants for families with
small children, benefits for single parents, child support payments)
|
Post-question:
|
Please tick every relevant box.
|
Technical description:
|
[Asked if r21group = 2]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21padkom17_2_1
Variable label:
|
Personal experience with NAV in the area: Illness and injury
|
Pre-question text:
|
Do you have any experience with NAV, personally or as next of kin, in
the following areas?
|
Literal question:
|
Illness and injury (temporary disability benefit, rehabilitation
allowance, sickness benefit)
|
Post-question:
|
Please tick every relevant box.
|
Technical description:
|
[Asked if r21group = 2]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21padkom17_2_2
Variable label:
|
Experience with NAV as next of kin in the area: Illness and injury
|
Pre-question text:
|
Do you have any experience with NAV, personally or as next of kin, in
the following areas?
|
Literal question:
|
Illness and injury (temporary disability benefit, rehabilitation
allowance, sickness benefit)
|
Post-question:
|
Please tick every relevant box.
|
Technical description:
|
[Asked if r21group = 2]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21padkom17_2_3
Variable label:
|
No experience with NAV in the area: Illness and injury
|
Pre-question text:
|
Do you have any experience with NAV, personally or as next of kin, in
the following areas?
|
Literal question:
|
Illness and injury (temporary disability benefit, rehabilitation
allowance, sickness benefit)
|
Post-question:
|
Please tick every relevant box.
|
Technical description:
|
[Asked if r21group = 2]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21padkom17_3_1
Variable label:
|
Personal experience with NAV in the area: Unemployment
|
Pre-question text:
|
Do you have any experience with NAV, personally or as next of kin, in
the following areas?
|
Literal question:
|
Unemployment (unemployment benefit, job searches, registration card,
industrial rehabilitation)
|
Post-question:
|
Please tick every relevant box.
|
Technical description:
|
[Asked if r21group = 2]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21padkom17_3_2
Variable label:
|
Experience with NAV as next of kin in the area: Unemployment
|
Pre-question text:
|
Do you have any experience with NAV, personally or as next of kin, in
the following areas?
|
Literal question:
|
Unemployment (unemployment benefit, job searches, registration card,
industrial rehabilitation)
|
Post-question:
|
Please tick every relevant box.
|
Technical description:
|
[Asked if r21group = 2]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21padkom17_3_3
Variable label:
|
No experience with NAV in the area: Unemployment
|
Pre-question text:
|
Do you have any experience with NAV, personally or as next of kin, in
the following areas?
|
Literal question:
|
Unemployment (unemployment benefit, job searches, registration card,
industrial rehabilitation)
|
Post-question:
|
Please tick every relevant box.
|
Technical description:
|
[Asked if r21group = 2]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21padkom17_4_1
Variable label:
|
Personal experience with NAV in the area: Old age and disability
|
Pre-question text:
|
Do you have any experience with NAV, personally or as next of kin, in
the following areas?
|
Literal question:
|
Old age and disability (disability pension, retirement pension)
|
Post-question:
|
Please tick every relevant box.
|
Technical description:
|
[Asked if r21group = 2]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21padkom17_4_2
Variable label:
|
Experience with NAV as next of kin in the area: Old age and disability
|
Pre-question text:
|
Do you have any experience with NAV, personally or as next of kin, in
the following areas?
|
Literal question:
|
Old age and disability (disability pension, retirement pension)
|
Post-question:
|
Please tick every relevant box.
|
Technical description:
|
[Asked if r21group = 2]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21padkom17_4_3
Variable label:
|
No experience with NAV in the area: Old age and disability
|
Pre-question text:
|
Do you have any experience with NAV, personally or as next of kin, in
the following areas?
|
Literal question:
|
Old age and disability (disability pension, retirement pension)
|
Post-question:
|
Please tick every relevant box.
|
Technical description:
|
[Asked if r21group = 2]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21padkom17_5_1
Variable label:
|
Personal experience with NAV in the area: Social services
|
Pre-question text:
|
Do you have any experience with NAV, personally or as next of kin, in
the following areas?
|
Literal question:
|
Social services (social assistance, financial advice, qualification
programme)
|
Post-question:
|
Please tick every relevant box.
|
Technical description:
|
[Asked if r21group = 2]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21padkom17_5_2
Variable label:
|
Experience with NAV as next of kin in the area: Social services
|
Pre-question text:
|
Do you have any experience with NAV, personally or as next of kin, in
the following areas?
|
Literal question:
|
Social services (social assistance, financial advice, qualification
programme)
|
Post-question:
|
Please tick every relevant box.
|
Technical description:
|
[Asked if r21group = 2]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21padkom17_5_3
Variable label:
|
No experience with NAV in the area: Social services
|
Pre-question text:
|
Do you have any experience with NAV, personally or as next of kin, in
the following areas?
|
Literal question:
|
Social services (social assistance, financial advice, qualification
programme)
|
Post-question:
|
Please tick every relevant box.
|
Technical description:
|
[Asked if r21group = 2]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21padkom17_6_1
Variable label:
|
Personal experience with NAV in the area: Health services
|
Pre-question text:
|
Do you have any experience with NAV, personally or as next of kin, in
the following areas?
|
Literal question:
|
Health services (exemption card scheme, aids, travel allowance)
|
Post-question:
|
Please tick every relevant box.
|
Technical description:
|
[Asked if r21group = 2]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21padkom17_6_2
Variable label:
|
Experience with NAV as next of kin in the area: Health services
|
Pre-question text:
|
Do you have any experience with NAV, personally or as next of kin, in
the following areas?
|
Literal question:
|
Health services (exemption card scheme, aids, travel allowance)
|
Post-question:
|
Please tick every relevant box.
|
Technical description:
|
[Asked if r21group = 2]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21padkom17_6_3
Variable label:
|
No experience with NAV in the area: Health services
|
Pre-question text:
|
Do you have any experience with NAV, personally or as next of kin, in
the following areas?
|
Literal question:
|
Health services (exemption card scheme, aids, travel allowance)
|
Post-question:
|
Please tick every relevant box.
|
Technical description:
|
[Asked if r21group = 2]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21padkom17_7_1
Variable label:
|
Personal experience with NAV in the area: Other matters
|
Pre-question text:
|
Do you have any experience with NAV, personally or as next of kin, in
the following areas?
|
Literal question:
|
Other matters
|
Post-question:
|
Please tick every relevant box.
|
Technical description:
|
[Asked if r21group = 2]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21padkom17_7_2
Variable label:
|
Experience with NAV as next of kin in the area: Other matters
|
Pre-question text:
|
Do you have any experience with NAV, personally or as next of kin, in
the following areas?
|
Literal question:
|
Other matters
|
Post-question:
|
Please tick every relevant box.
|
Technical description:
|
[Asked if r21group = 2]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21padkom17_7_3
Variable label:
|
No experience with NAV in the area: Other matters
|
Pre-question text:
|
Do you have any experience with NAV, personally or as next of kin, in
the following areas?
|
Literal question:
|
Other matters
|
Post-question:
|
Please tick every relevant box.
|
Technical description:
|
[Asked if r21group = 2]
[Data withheld due to privacy considerations.]
|
Technical attributes:
|
[Question type:Multi Grid] [Format:numeric] [Valid:0] [Invalid:10040]
[Range:-]
|
r21padkom18
Variable label:
|
Have you ever been in personal contact with a case officer in NAV?
|
Literal question:
|
Have you ever been in personal contact with a case officer in NAV?
|
Post-question:
|
Online chats do not count.
|
Technical description:
|
[Asked if r21group = 2]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Yes |
1154 |
56.8% |
0.56847291 |
2 |
No |
850 |
41.9% |
0.41871921 |
97 |
Not answered |
26 |
1.3% |
0.01280788 |
98 |
Not asked |
8010 |
|
NA |
r21padkom19_ran
Variable label:
|
Experiments. Randomly selects alternative for r21padkom19
|
Technical description:
|
[Randomized if r21group = 2]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:2012] [Invalid:8028]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Family (child benefit, parental benefit, cash grants for families with small
children, benefits for single parents, child support payments) |
345 |
17.1% |
0.1714712 |
2 |
Illness and injury (temporary disability benefit, rehabilitation allowance,
sickness benefit) |
349 |
17.3% |
0.1734592 |
3 |
Unemployment (unemployment benefit, job searches, registration card, industrial
rehabilitation) |
317 |
15.8% |
0.1575547 |
4 |
Old age and disability (disability pension, retirement pension) |
337 |
16.7% |
0.1674950 |
5 |
Social services (social assistance, financial advice, qualification programme) |
303 |
15.1% |
0.1505964 |
6 |
Health services (exemption card scheme, aids, travel allowance) |
361 |
17.9% |
0.1794235 |
Sysmiss |
|
8028 |
|
NA |
r21padkom19
Variable label:
|
To what extent case officers in NAV are influenced by personal attitudes
in cases regarding [different areas]
|
Literal question:
|
To what extent do you think that case officers in NAV let themselves be
influenced by their own personal attitudes when they make decisions in
cases about [family (child benefit, parental benefit, cash grants for
families with small children, benefits for single parents, child support
payments/illness and injury (temporary disability benefit,
rehabilitation allowance, sickness benefit)/unemployment (unemployment
benefit, job searches, registration card, industrial rehabilitation)/old
age and disability (disability pension, retirement pension)/social
services (social assistance, financial advice, qualification
programme)/health services (exemption card scheme, aids, travel
allowance)]?
|
Technical description:
|
[Asked if r21group = 2]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
To a very great extent |
63 |
3.1% |
0.03103448 |
2 |
To a great extent |
215 |
10.6% |
0.10591133 |
3 |
To some extent |
863 |
42.5% |
0.42512315 |
4 |
To a small extent |
758 |
37.3% |
0.37339901 |
5 |
Not at all |
96 |
4.7% |
0.04729064 |
97 |
Not answered |
35 |
1.7% |
0.01724138 |
98 |
Not asked |
8010 |
|
NA |
r21padkom20
Variable label:
|
How much would you say you know about machine learning and artificial
intelligence?
|
Pre-question text:
|
We now want to ask about your attitudes towards the use of machine
learning in public administration. Machine learning is also often
referred to as artificial intelligence.
Using machine learning involves getting computers to learn how to
solve tasks based on data. Computers can often become extremely
accurate, although this typically requires a lot of data. Today, machine
learning provides the basis for everything from automatic voice
recognition to driverless cars.
In some cases, public agencies, including NAV, uses machine learning
to help make decisions in cases for which they are responsible. The aim
is to reduce costs and processing time, and to make decisions better and
more accurate. One example might be to teach a computer to predict
approximately how long a person will be on sick leave based on
information about the disease and the person. A case officer can then
use this to choose appropriate measures.
|
Literal question:
|
Generally speaking, how much would you say you know about machine
learning and artificial intelligence?
|
Technical description:
|
[Asked if r21group = 2]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
A great deal |
110 |
2.8% |
0.027721774 |
2 |
A lot |
432 |
10.9% |
0.108870968 |
3 |
Quite a lot |
897 |
22.6% |
0.226058468 |
4 |
Not much |
2055 |
51.8% |
0.517893145 |
5 |
Nothing at all |
449 |
11.3% |
0.113155242 |
97 |
Not answered |
25 |
0.6% |
0.006300403 |
98 |
Not asked |
6072 |
|
NA |
r21padkom21
Variable label:
|
Are your interests better/worse safeguarded if machine learning is used
in NAV?
|
Pre-question text:
|
Let’s say that you were in a situation where you had to apply to NAV for
financial support.
|
Literal question:
|
Do you think that your interests would be safeguarded better or worse if
the case officer used machine learning and artificial intelligence as
help in making a decision about financial support?
|
Technical description:
|
[Asked if r21group = 2]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very much better |
11 |
0.5% |
0.005418719 |
2 |
Much better |
91 |
4.5% |
0.044827586 |
3 |
Somewhat better |
412 |
20.3% |
0.202955665 |
4 |
Neither better nor worse |
830 |
40.9% |
0.408866995 |
5 |
Somewhat worse |
407 |
20.0% |
0.200492611 |
6 |
Much worse |
174 |
8.6% |
0.085714286 |
7 |
Very much worse |
62 |
3.1% |
0.030541872 |
97 |
Not answered |
43 |
2.1% |
0.021182266 |
98 |
Not asked |
8010 |
|
NA |
r21padkom24
Variable label:
|
Would you accept a work preparation course offered by NAV?
|
Pre-question text:
|
First, we ask you to imagine that you are in a situation where, as a job
seeker registered with NAV, you are offered a work preparation course.
|
Literal question:
|
Do you think you would accept it?
|
Post-question:
|
If you are not sure, please choose the option that is most likely.
|
Technical description:
|
[Asked if r21group = 2]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Yes, I would have accepted a work preparation course |
1666 |
82.1% |
0.8206897 |
2 |
No, I wouldn't have accepted a work preparation course |
309 |
15.2% |
0.1522167 |
97 |
Not answered |
55 |
2.7% |
0.0270936 |
98 |
Not asked |
8010 |
|
NA |
r21padkom25_1
Variable label:
|
Machine learning in NAV may use: Data about job seeker’s health issues
|
Pre-question text:
|
Access to job-oriented measures is needs-based. The case officer will
decide which measures a job seeker will be offered based on an
individual assessment of their needs. Such assessments have previously
been made by the case officer alone. Today, NAV is testing machine
learning as a means of assisting case officers with proposals in such
assessments.
Given that this helps to ensure that proposals are more accurate, how
appropriate do you think it is that in connection with machine learning
a computer will process the following data about the job seeker?
|
Literal question:
|
The extent to which the job seeker states that they have health issues
|
Technical description:
|
[Asked if r21group = 2]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Highly appropriate |
272 |
13.4% |
0.13399015 |
2 |
Appropriate |
589 |
29.0% |
0.29014778 |
3 |
Somewhat appropriate |
584 |
28.8% |
0.28768473 |
4 |
Not very appropriate |
316 |
15.6% |
0.15566502 |
5 |
Not appropriate at all |
152 |
7.5% |
0.07487685 |
97 |
Not answered |
117 |
5.8% |
0.05763547 |
98 |
Not asked |
8010 |
|
NA |
r21padkom25_2
Variable label:
|
Machine learning in NAV may use: Data about job seeker’s other issues
|
Pre-question text:
|
Access to job-oriented measures is needs-based. The case officer will
decide which measures a job seeker will be offered based on an
individual assessment of their needs. Such assessments have previously
been made by the case officer alone. Today, NAV is testing machine
learning as a means of assisting case officers with proposals in such
assessments.
Given that this helps to ensure that proposals are more accurate, how
appropriate do you think it is that in connection with machine learning
a computer will process the following data about the job seeker?
|
Literal question:
|
The extent to which the job seeker states that they have other issues
that prevent them from working
|
Technical description:
|
[Asked if r21group = 2]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Highly appropriate |
309 |
15.2% |
0.15221675 |
2 |
Appropriate |
655 |
32.3% |
0.32266010 |
3 |
Somewhat appropriate |
543 |
26.7% |
0.26748768 |
4 |
Not very appropriate |
278 |
13.7% |
0.13694581 |
5 |
Not appropriate at all |
127 |
6.3% |
0.06256158 |
97 |
Not answered |
118 |
5.8% |
0.05812808 |
98 |
Not asked |
8010 |
|
NA |
r21padkom25_3
Variable label:
|
Machine learning in NAV may use: Data about job seeker’s education
|
Pre-question text:
|
Access to job-oriented measures is needs-based. The case officer will
decide which measures a job seeker will be offered based on an
individual assessment of their needs. Such assessments have previously
been made by the case officer alone. Today, NAV is testing machine
learning as a means of assisting case officers with proposals in such
assessments.
Given that this helps to ensure that proposals are more accurate, how
appropriate do you think it is that in connection with machine learning
a computer will process the following data about the job seeker?
|
Literal question:
|
Education: The extent to which the job seeker has completed approved
education in Norway
|
Technical description:
|
[Asked if r21group = 2]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Highly appropriate |
619 |
30.5% |
0.30492611 |
2 |
Appropriate |
783 |
38.6% |
0.38571429 |
3 |
Somewhat appropriate |
359 |
17.7% |
0.17684729 |
4 |
Not very appropriate |
107 |
5.3% |
0.05270936 |
5 |
Not appropriate at all |
53 |
2.6% |
0.02610837 |
97 |
Not answered |
109 |
5.4% |
0.05369458 |
98 |
Not asked |
8010 |
|
NA |
r21padkom25_4
Variable label:
|
Machine learning in NAV may use: Data about job seeker’s work history
|
Pre-question text:
|
Access to job-oriented measures is needs-based. The case officer will
decide which measures a job seeker will be offered based on an
individual assessment of their needs. Such assessments have previously
been made by the case officer alone. Today, NAV is testing machine
learning as a means of assisting case officers with proposals in such
assessments.
Given that this helps to ensure that proposals are more accurate, how
appropriate do you think it is that in connection with machine learning
a computer will process the following data about the job seeker?
|
Literal question:
|
Work history: Has the job seeker been in continuous work for 6 months in
the last 12 months?
|
Technical description:
|
[Asked if r21group = 2]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Highly appropriate |
389 |
19.2% |
0.19162562 |
2 |
Appropriate |
724 |
35.7% |
0.35665025 |
3 |
Somewhat appropriate |
519 |
25.6% |
0.25566502 |
4 |
Not very appropriate |
195 |
9.6% |
0.09605911 |
5 |
Not appropriate at all |
89 |
4.4% |
0.04384236 |
97 |
Not answered |
114 |
5.6% |
0.05615764 |
98 |
Not asked |
8010 |
|
NA |
r21padkom25_5
Variable label:
|
Machine learning in NAV may use: Data about job seeker’s age
|
Pre-question text:
|
Access to job-oriented measures is needs-based. The case officer will
decide which measures a job seeker will be offered based on an
individual assessment of their needs. Such assessments have previously
been made by the case officer alone. Today, NAV is testing machine
learning as a means of assisting case officers with proposals in such
assessments.
Given that this helps to ensure that proposals are more accurate, how
appropriate do you think it is that in connection with machine learning
a computer will process the following data about the job seeker?
|
Literal question:
|
Age
|
Technical description:
|
[Asked if r21group = 2]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Highly appropriate |
345 |
17.0% |
0.16995074 |
2 |
Appropriate |
591 |
29.1% |
0.29113300 |
3 |
Somewhat appropriate |
563 |
27.7% |
0.27733990 |
4 |
Not very appropriate |
289 |
14.2% |
0.14236453 |
5 |
Not appropriate at all |
125 |
6.2% |
0.06157635 |
97 |
Not answered |
117 |
5.8% |
0.05763547 |
98 |
Not asked |
8010 |
|
NA |
r21padkom25_6
Variable label:
|
Machine learning in NAV may use: Data about job seeker’s sex
|
Pre-question text:
|
Access to job-oriented measures is needs-based. The case officer will
decide which measures a job seeker will be offered based on an
individual assessment of their needs. Such assessments have previously
been made by the case officer alone. Today, NAV is testing machine
learning as a means of assisting case officers with proposals in such
assessments.
Given that this helps to ensure that proposals are more accurate, how
appropriate do you think it is that in connection with machine learning
a computer will process the following data about the job seeker?
|
Literal question:
|
Sex
|
Technical description:
|
[Asked if r21group = 2]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Highly appropriate |
279 |
13.7% |
0.13743842 |
2 |
Appropriate |
425 |
20.9% |
0.20935961 |
3 |
Somewhat appropriate |
436 |
21.5% |
0.21477833 |
4 |
Not very appropriate |
387 |
19.1% |
0.19064039 |
5 |
Not appropriate at all |
387 |
19.1% |
0.19064039 |
97 |
Not answered |
116 |
5.7% |
0.05714286 |
98 |
Not asked |
8010 |
|
NA |
r21padkom25_7
Variable label:
|
Machine learning in NAV may use: Data about job seeker’s nationality
|
Pre-question text:
|
Access to job-oriented measures is needs-based. The case officer will
decide which measures a job seeker will be offered based on an
individual assessment of their needs. Such assessments have previously
been made by the case officer alone. Today, NAV is testing machine
learning as a means of assisting case officers with proposals in such
assessments.
Given that this helps to ensure that proposals are more accurate, how
appropriate do you think it is that in connection with machine learning
a computer will process the following data about the job seeker?
|
Literal question:
|
The job seeker’s nationality
|
Technical description:
|
[Asked if r21group = 2]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Highly appropriate |
219 |
10.8% |
0.10788177 |
2 |
Appropriate |
423 |
20.8% |
0.20837438 |
3 |
Somewhat appropriate |
523 |
25.8% |
0.25763547 |
4 |
Not very appropriate |
455 |
22.4% |
0.22413793 |
5 |
Not appropriate at all |
293 |
14.4% |
0.14433498 |
97 |
Not answered |
117 |
5.8% |
0.05763547 |
98 |
Not asked |
8010 |
|
NA |
r21padkom25_8
Variable label:
|
Machine learning in NAV may use: Data about job seeker’s place of
residence
|
Pre-question text:
|
Access to job-oriented measures is needs-based. The case officer will
decide which measures a job seeker will be offered based on an
individual assessment of their needs. Such assessments have previously
been made by the case officer alone. Today, NAV is testing machine
learning as a means of assisting case officers with proposals in such
assessments.
Given that this helps to ensure that proposals are more accurate, how
appropriate do you think it is that in connection with machine learning
a computer will process the following data about the job seeker?
|
Literal question:
|
Place of residence: Where in the country does the job seeker live?
|
Technical description:
|
[Asked if r21group = 2]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Highly appropriate |
476 |
23.4% |
0.23448276 |
2 |
Appropriate |
696 |
34.3% |
0.34285714 |
3 |
Somewhat appropriate |
441 |
21.7% |
0.21724138 |
4 |
Not very appropriate |
179 |
8.8% |
0.08817734 |
5 |
Not appropriate at all |
120 |
5.9% |
0.05911330 |
97 |
Not answered |
118 |
5.8% |
0.05812808 |
98 |
Not asked |
8010 |
|
NA |
r21padkom25_9
Variable label:
|
Machine learning in NAV may use: Data about job seeker’s criminal record
|
Pre-question text:
|
Access to job-oriented measures is needs-based. The case officer will
decide which measures a job seeker will be offered based on an
individual assessment of their needs. Such assessments have previously
been made by the case officer alone. Today, NAV is testing machine
learning as a means of assisting case officers with proposals in such
assessments.
Given that this helps to ensure that proposals are more accurate, how
appropriate do you think it is that in connection with machine learning
a computer will process the following data about the job seeker?
|
Literal question:
|
Criminal record: Has the job seeker been convicted of criminal acts?
|
Technical description:
|
[Asked if r21group = 2]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Highly appropriate |
424 |
20.9% |
0.20886700 |
2 |
Appropriate |
562 |
27.7% |
0.27684729 |
3 |
Somewhat appropriate |
473 |
23.3% |
0.23300493 |
4 |
Not very appropriate |
303 |
14.9% |
0.14926108 |
5 |
Not appropriate at all |
149 |
7.3% |
0.07339901 |
97 |
Not answered |
119 |
5.9% |
0.05862069 |
98 |
Not asked |
8010 |
|
NA |
r21padkom29_ran
Variable label:
|
NA
|
Technical description:
|
[Randomized if r21group = 2]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:1982] [Invalid:8058]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
As support in the decision-making process, the case officer uses artificial
intelligence, based on machine learning, which recommends who should receive
support. |
1043 |
52.6% |
0.5262361 |
2 |
[blank] |
939 |
47.4% |
0.4737639 |
Sysmiss |
|
8058 |
|
NA |
r21padkom29_1
Variable label:
|
How important that case officer in NAV has: Same level of education as
you
|
Pre-question text:
|
Let’s say that you were in a situation where you had to apply to NAV
for financial support. If you could choose a case officer to safeguard
your interests in NAV, how important do you think it would be for the
person to have the following characteristics?
[blank / As support in the decision-making process, the case officer
uses artificial intelligence, based on machine learning, which
recommends who should receive support.]
|
Literal question:
|
Same level of education as you
|
Technical description:
|
[Asked if r21group = 2]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very important |
109 |
5.4% |
0.05369458 |
2 |
Important |
382 |
18.8% |
0.18817734 |
3 |
Somewhat important |
519 |
25.6% |
0.25566502 |
4 |
Not very important |
555 |
27.3% |
0.27339901 |
5 |
Not important at all |
368 |
18.1% |
0.18128079 |
97 |
Not answered |
97 |
4.8% |
0.04778325 |
98 |
Not asked |
8010 |
|
NA |
r21padkom29_2
Variable label:
|
How important that case officer in NAV is: From the same region as you
|
Pre-question text:
|
Let’s say that you were in a situation where you had to apply to NAV
for financial support. If you could choose a case officer to safeguard
your interests in NAV, how important do you think it would be for the
person to have the following characteristics?
[blank / As support in the decision-making process, the case officer
uses artificial intelligence, based on machine learning, which
recommends who should receive support.]
|
Literal question:
|
From the same region as you
|
Technical description:
|
[Asked if r21group = 2]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very important |
38 |
1.9% |
0.01871921 |
2 |
Important |
162 |
8.0% |
0.07980296 |
3 |
Somewhat important |
277 |
13.6% |
0.13645320 |
4 |
Not very important |
717 |
35.3% |
0.35320197 |
5 |
Not important at all |
737 |
36.3% |
0.36305419 |
97 |
Not answered |
99 |
4.9% |
0.04876847 |
98 |
Not asked |
8010 |
|
NA |
r21padkom29_3
Variable label:
|
How important that case officer in NAV has: Same sex as you
|
Pre-question text:
|
Let’s say that you were in a situation where you had to apply to NAV
for financial support. If you could choose a case officer to safeguard
your interests in NAV, how important do you think it would be for the
person to have the following characteristics?
[blank / As support in the decision-making process, the case officer
uses artificial intelligence, based on machine learning, which
recommends who should receive support.]
|
Literal question:
|
Same sex as you
|
Technical description:
|
[Asked if r21group = 2]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very important |
16 |
0.8% |
0.007881773 |
2 |
Important |
76 |
3.7% |
0.037438424 |
3 |
Somewhat important |
211 |
10.4% |
0.103940887 |
4 |
Not very important |
721 |
35.5% |
0.355172414 |
5 |
Not important at all |
899 |
44.3% |
0.442857143 |
97 |
Not answered |
107 |
5.3% |
0.052709360 |
98 |
Not asked |
8010 |
|
NA |
r21padkom29_4
Variable label:
|
How important that case officer in NAV has: Same religious fatih as you
|
Pre-question text:
|
Let’s say that you were in a situation where you had to apply to NAV
for financial support. If you could choose a case officer to safeguard
your interests in NAV, how important do you think it would be for the
person to have the following characteristics?
[blank / As support in the decision-making process, the case officer
uses artificial intelligence, based on machine learning, which
recommends who should receive support.]
|
Literal question:
|
Same religious faith as you
|
Technical description:
|
[Asked if r21group = 2]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very important |
30 |
1.5% |
0.01477833 |
2 |
Important |
65 |
3.2% |
0.03201970 |
3 |
Somewhat important |
163 |
8.0% |
0.08029557 |
4 |
Not very important |
658 |
32.4% |
0.32413793 |
5 |
Not important at all |
1014 |
50.0% |
0.49950739 |
97 |
Not answered |
100 |
4.9% |
0.04926108 |
98 |
Not asked |
8010 |
|
NA |
r21padkom29_5
Variable label:
|
How important that case officer in NAV is: About the same age as you
|
Pre-question text:
|
Let’s say that you were in a situation where you had to apply to NAV
for financial support. If you could choose a case officer to safeguard
your interests in NAV, how important do you think it would be for the
person to have the following characteristics?
[blank / As support in the decision-making process, the case officer
uses artificial intelligence, based on machine learning, which
recommends who should receive support.]
|
Literal question:
|
About the same age as you
|
Technical description:
|
[Asked if r21group = 2]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very important |
18 |
0.9% |
0.008866995 |
2 |
Important |
112 |
5.5% |
0.055172414 |
3 |
Somewhat important |
421 |
20.7% |
0.207389163 |
4 |
Not very important |
676 |
33.3% |
0.333004926 |
5 |
Not important at all |
699 |
34.4% |
0.344334975 |
97 |
Not answered |
104 |
5.1% |
0.051231527 |
98 |
Not asked |
8010 |
|
NA |
r21padkom29_6
Variable label:
|
How important that case officer in NAV has: Same ethnic origin as you
|
Pre-question text:
|
Let’s say that you were in a situation where you had to apply to NAV
for financial support. If you could choose a case officer to safeguard
your interests in NAV, how important do you think it would be for the
person to have the following characteristics?
[blank / As support in the decision-making process, the case officer
uses artificial intelligence, based on machine learning, which
recommends who should receive support.]
|
Literal question:
|
Same ethnic origin as you
|
Technical description:
|
[Asked if r21group = 2]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very important |
51 |
2.5% |
0.02512315 |
2 |
Important |
143 |
7.0% |
0.07044335 |
3 |
Somewhat important |
308 |
15.2% |
0.15172414 |
4 |
Not very important |
612 |
30.1% |
0.30147783 |
5 |
Not important at all |
812 |
40.0% |
0.40000000 |
97 |
Not answered |
104 |
5.1% |
0.05123153 |
98 |
Not asked |
8010 |
|
NA |
r21padkom29_7
Variable label:
|
How important that case officer in NAV has: Same political standpoint as
you
|
Pre-question text:
|
Let’s say that you were in a situation where you had to apply to NAV
for financial support. If you could choose a case officer to safeguard
your interests in NAV, how important do you think it would be for the
person to have the following characteristics?
[blank / As support in the decision-making process, the case officer
uses artificial intelligence, based on machine learning, which
recommends who should receive support.]
|
Literal question:
|
Same political standpoint as you
|
Technical description:
|
[Asked if r21group = 2]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very important |
13 |
0.6% |
0.006403941 |
2 |
Important |
53 |
2.6% |
0.026108374 |
3 |
Somewhat important |
224 |
11.0% |
0.110344828 |
4 |
Not very important |
713 |
35.1% |
0.351231527 |
5 |
Not important at all |
920 |
45.3% |
0.453201970 |
97 |
Not answered |
107 |
5.3% |
0.052709360 |
98 |
Not asked |
8010 |
|
NA |
r21padkom29_8
Variable label:
|
How important that case officer in NAV has: Same type of work experience
as you
|
Pre-question text:
|
Let’s say that you were in a situation where you had to apply to NAV
for financial support. If you could choose a case officer to safeguard
your interests in NAV, how important do you think it would be for the
person to have the following characteristics?
[blank / As support in the decision-making process, the case officer
uses artificial intelligence, based on machine learning, which
recommends who should receive support.]
|
Literal question:
|
Same type of work experience as you
|
Technical description:
|
[Asked if r21group = 2]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very important |
43 |
2.1% |
0.02118227 |
2 |
Important |
201 |
9.9% |
0.09901478 |
3 |
Somewhat important |
479 |
23.6% |
0.23596059 |
4 |
Not very important |
593 |
29.2% |
0.29211823 |
5 |
Not important at all |
615 |
30.3% |
0.30295567 |
97 |
Not answered |
99 |
4.9% |
0.04876847 |
98 |
Not asked |
8010 |
|
NA |
r21padkom29_9
Variable label:
|
How important that case officer in NAV has: Same sexual orientation as
you
|
Pre-question text:
|
Let’s say that you were in a situation where you had to apply to NAV
for financial support. If you could choose a case officer to safeguard
your interests in NAV, how important do you think it would be for the
person to have the following characteristics?
[blank / As support in the decision-making process, the case officer
uses artificial intelligence, based on machine learning, which
recommends who should receive support.]
|
Literal question:
|
Same sexual orientation as you
|
Technical description:
|
[Asked if r21group = 2]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very important |
10 |
0.5% |
0.004926108 |
2 |
Important |
45 |
2.2% |
0.022167488 |
3 |
Somewhat important |
77 |
3.8% |
0.037931034 |
4 |
Not very important |
459 |
22.6% |
0.226108374 |
5 |
Not important at all |
1334 |
65.7% |
0.657142857 |
97 |
Not answered |
105 |
5.2% |
0.051724138 |
98 |
Not asked |
8010 |
|
NA |
r21padkom22
Variable label:
|
How concerned about the use of machine learning in public
administration?
|
Literal question:
|
How concerned are you about the use of machine learning and
artificial intelligence in public administration?
|
Post-question:
|
You will have the opportunity to justify your answer in the next page.
|
Technical description:
|
[Asked if r21group = 3]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very concerned |
103 |
5.3% |
0.05306543 |
2 |
Concerned |
360 |
18.5% |
0.18547141 |
3 |
Somewhat concerned |
806 |
41.5% |
0.41524987 |
4 |
Not particularly concerned |
563 |
29.0% |
0.29005667 |
5 |
Not at all concerned |
97 |
5.0% |
0.04997424 |
97 |
Not answered |
12 |
0.6% |
0.00618238 |
98 |
Not asked |
8099 |
|
NA |
r21padkom23
Variable label:
|
Open: Why you answered like you did to [R21PADKOM22]
|
Pre-question text:
|
In the previous question you answered that you were [R21PADKOM22_]
about the use of machine learning and artificial intelligence in public
administration.
|
Literal question:
|
Why is that?
|
Technical description:
|
[Asked if r21group = 3 & r21padkom22 is answered]
[Text data witheld due to privacy considerations. However, data can be
made available for researchers after contacting DIGSSCORE/University of
Bergen.]
|
Technical attributes:
|
[Question type:Open] [Format:character] [Valid:0] [Invalid:10040]
[Range:-]
|
r21padkom26_ran
Variable label:
|
Randomly selects alternative for r21PADKOM26
|
Technical description:
|
[Randomized if r21group = 3]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:1941] [Invalid:8099]
[Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
men than women |
965 |
49.7% |
0.4971664 |
1 |
women than men |
976 |
50.3% |
0.5028336 |
Sysmiss |
|
8099 |
|
NA |
r21padkom26_ran_contra
Variable label:
|
The opposite of av r21PADKOM26_ran
|
Technical description:
|
[Takes the oposite value of r21padkom26_ran]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:1941] [Invalid:8099]
[Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
men than women |
976 |
50.3% |
0.5028336 |
0 |
women than men |
965 |
49.7% |
0.4971664 |
Sysmiss |
|
8099 |
|
NA |
r21padkom26
Variable label:
|
Which of two machine learning models in NAV seems the fairest?
|
Pre-question text:
|
A realistic example of where machine learning can be used in public
administration is when NAV decides which people on sick leave will be
offered a dialogue meeting with NAV. A dialogue meeting is a
conversation between NAV and the person on sick leave that is regarded
as positive for the person on sick leave’s chances of returning to
work.
Imagine we can choose between two alternative machine learning models
for choosing who will be offered a dialogue meeting.
Neither of the models is perfect but they are imperfect in different
ways.
The first model is the most accurate. However, from among those who
need a dialogue meeting, more [women than men/men than women] are
offered a dialogue meeting. Thus, the proportion who need a dialogue
meeting but are not offered one is greater among [men than women/ women
than men].
The second model ensures that the proportion of women and men on sick
leave called in for a dialogue meeting is the same. However, it is less
accurate overall, such that fewer people who need a dialogue meeting are
called in. This applies to both women and men.
|
Literal question:
|
If the choice was between these two models only, which seems the fairest
to you?
|
Technical description:
|
[Asked if r21group = 3]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
The first model seems the fairest |
870 |
44.8% |
0.44822257 |
2 |
The second model seems the fairest |
957 |
49.3% |
0.49304482 |
97 |
Not answered |
114 |
5.9% |
0.05873261 |
98 |
Not asked |
8099 |
|
NA |
r21padkom27
Variable label:
|
Open: Can you give the reasons for your answer to [r21PADKOM26]?
|
Literal question:
|
Can you give the reasons for your answer?
|
Technical description:
|
[Asked if r21group = 3 & r21padkom26 is answered]
[Text data witheld due to privacy considerations. However, data can be
made available for researchers after contacting DIGSSCORE/University of
Bergen.]
|
Technical attributes:
|
[Question type:Open] [Format:character] [Valid:0] [Invalid:10040]
[Range:-]
|
r21padkom28
Variable label:
|
Use of artificial intelligence in public administration or not, given
the consequences in sum and for groups?
|
Pre-question text:
|
Many decisions in public administration require the exercise of
judgement based on an overall assessment of the individual case. If
artificial intelligence is adopted, decisions made with the assistance
of machine learning will probably be more accurate, thereby increasing
the proportion of correct decisions. At the same time, a computer cannot
be completely accurate either. There is also reason to believe that the
remaining proportion of incorrect decisions disproportionately affects
some groups in society when one uses machine learning and artificial
intelligence. This is due to the great variation in how human case
officers exercise judgement, while for a computer there is no variation.
|
Literal question:
|
Generally speaking, which do you prefer in such situations? Using
artificial intelligence (which leads to many more correct decisions in
exchange for the fact that it is always the same ones who are subject to
incorrect decisions), or not using artificial intelligence (which leads
to many fewer correct decisions in exchange for the ones who are subject
to incorrect decisions varying).
|
Technical description:
|
[Asked if r21group = 3]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Use artificial intelligence |
871 |
44.9% |
0.44873776 |
2 |
Do not use artificial intelligence |
978 |
50.4% |
0.50386399 |
97 |
Not answered |
92 |
4.7% |
0.04739825 |
98 |
Not asked |
8099 |
|
NA |
r21padkom32_ran
Variable label:
|
Randomly selects alternative for r21PADKOM32.
|
Technical description:
|
[Randomized if r21group = 3]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:1925] [Invalid:8115]
[Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
promoting a message that the so-called gay lobby is destroying Norwegian society |
478 |
24.8% |
0.2483117 |
2 |
promoting a message that multiculturalism is destroying Norwegian society |
422 |
21.9% |
0.2192208 |
3 |
promoting a message that Islam and Muslim immigration pose a threat to the
rights of women and gays |
538 |
27.9% |
0.2794805 |
4 |
burning the Koran |
487 |
25.3% |
0.2529870 |
Sysmiss |
|
8115 |
|
NA |
r21padkom32
Variable label:
|
How acceptable that counter-demonstrators physically attack to prevent
far right activists?
|
Pre-question text:
|
Imagine the following scenario. During a public demonstration, a group
of counter-demonstrators physically attack activists from the far right
to prevent them from [promoting a message that the so-called gay lobby
is destroying Norwegian society/promoting a message that
multiculturalism is destroying Norwegian society/promoting a message
that Islam and Muslim immigration pose a threat to the rights of women
and gays/burning the Koran].
|
Literal question:
|
How acceptable or unacceptable do you think it is for the
counter-demonstrators to physically attack activists from the far right
to prevent them from doing this?
|
Technical description:
|
[Asked if r21padkom32_ran = 1,2,3,4 & r21group = 3]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Highly acceptable |
35 |
1.8% |
0.01818182 |
2 |
Acceptable |
31 |
1.6% |
0.01610390 |
3 |
Somewhat acceptable |
75 |
3.9% |
0.03896104 |
4 |
Neither acceptable nor unacceptable |
84 |
4.4% |
0.04363636 |
5 |
Somewhat unacceptable |
107 |
5.6% |
0.05558442 |
6 |
Unacceptable |
698 |
36.3% |
0.36259740 |
7 |
Highly unacceptable |
876 |
45.5% |
0.45506494 |
97 |
Not answered |
19 |
1.0% |
0.00987013 |
98 |
Not asked |
8115 |
|
NA |
r21padkom33
Variable label:
|
Agree/disagree: Far right activists should be allowed to rent community
centres in my area to hold meetings
|
Pre-question text:
|
To what extent do you agree or disagree with the following statement:
|
Literal question:
|
Activist groups from the far right should be allowed to rent community
centres in my local area to hold meetings for their members and
sympathisers.
|
Technical description:
|
[Asked if r21group = 3]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
115 |
5.9% |
0.05924781 |
2 |
Agree |
314 |
16.2% |
0.16177228 |
3 |
Somewhat agree |
249 |
12.8% |
0.12828439 |
4 |
Neither agree nor disagree |
331 |
17.1% |
0.17053065 |
5 |
Somewhat disagree |
237 |
12.2% |
0.12210201 |
6 |
Disagree |
368 |
19.0% |
0.18959299 |
7 |
Strongly disagree |
288 |
14.8% |
0.14837713 |
97 |
Not answered |
39 |
2.0% |
0.02009274 |
98 |
Not asked |
8099 |
|
NA |
r21padkom6
Variable label:
|
By how much do you think Norway has cut its greenhouse gas emissions
from 1990 to 2019?
|
Pre-question text:
|
On the next question, please give us your best guess and do not look up
the answer. The government’s goal is for Norwegian greenhouse gas
emissions to be 50% lower than they were in 1990 by 2030.
|
Literal question:
|
By how much do you think Norway has cut its greenhouse gas emissions
so far from 1990 to 2019?
|
Technical description:
|
[Asked if r21group = 4]
|
Technical attributes:
|
[Question type:Numeric] [Format:numeric] [Valid:1943] [Invalid:8097]
[Range:0-100]
|
r21padkom7_ran
Variable label:
|
NA
|
Technical description:
|
[Randomized if r21group = 4]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:1984] [Invalid:8056]
[Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
We also want to ask you about an item that has been in the news recently. The
news item was about a report that was recently published about global warming
and Norway’s greenhouse gas emissions. |
523 |
26.4% |
0.2636089 |
2 |
We also want to ask you about an item that has been in the news recently. The
news item was about a report that was recently published about global warming
and Norway’s greenhouse gas emissions. The report said that in 2019 Norway’s
emissions were about the same as in 1990. Norway has only cut about 3% of its
greenhouse gas emissions in the past 30 years. |
491 |
24.7% |
0.2474798 |
3 |
We also want to ask you about an item that has been in the news recently. The
news item was about a report that was recently published about global warming
and Norway’s greenhouse gas emissions. The report said that in 2019 Norway’s
emissions were about the same as in 1990. Norway has only cut about 3% of its
greenhouse gas emissions in the past 30 years. Over the same time period, Sweden
has cut 30% of its emissions, and the EU countries have cut an average of 26%. |
473 |
23.8% |
0.2384073 |
4 |
We also want to ask you about an item that has been in the news recently. The
news item was about a report that was recently published about global warming
and Norway’s greenhouse gas emissions. The report said that about 97% of climate
scientists now agree that rising global temperatures are mainly due to human
activity. The expected consequences of global warming include an increase in
extreme weather events, such as droughts, floods, and storms. |
497 |
25.1% |
0.2505040 |
Sysmiss |
|
8056 |
|
NA |
r21padkom7
Variable label:
|
Have you heard about recent item in the news about [report about
greenhouse gas emissions]?
|
Pre-question text:
|
[We also want to ask you about an item that has been in the news
recently. The news item was about a report that was recently published
about global warming and Norway’s greenhouse gas emissions./ We also
want to ask you about an item that has been in the news recently. The
news item was about a report that was recently published about global
warming and Norway’s greenhouse gas emissions. The report said that in
2019 Norway’s emissions were about the same as in 1990. Norway has only
cut about 3% of its greenhouse gas emissions in the past 30 years./ We
also want to ask you about an item that has been in the news recently.
The news item was about a report that was recently published about
global warming and Norway’s greenhouse gas emissions. The report said
that in 2019 Norway’s emissions were about the same as in 1990. Norway
has only cut about 3% of its greenhouse gas emissions in the past 30
years. Over the same time period, Sweden has cut 30% of its emissions,
and the EU countries have cut an average of 26%./ We also want to ask
you about an item that has been in the news recently. The news item was
about a report that was recently published about global warming and
Norway’s greenhouse gas emissions. The report said that about 97% of
climate scientists now agree that rising global temperatures are mainly
due to human activity. The expected consequences of global warming
include an increase in extreme weather events, such as droughts, floods,
and storms.]
|
Literal question:
|
Have you heard about a news item like this?
|
Technical description:
|
[Asked if r21group = 4]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Yes |
794 |
39.2% |
0.39248641 |
2 |
No |
857 |
42.4% |
0.42362827 |
3 |
Don't know |
323 |
16.0% |
0.15966387 |
97 |
Not answered |
49 |
2.4% |
0.02422145 |
98 |
Not asked |
8017 |
|
NA |
r21padkom8_1
Variable label:
|
Agree/disagree: The government is doing enough to cut Norway’s
greenhouse gas emissions
|
Pre-question text:
|
Please read the following statements on climate policy and state the
extent to which you agree or disagree with them:
|
Literal question:
|
The government is doing enough to cut Norway’s greenhouse gas emissions.
|
Technical description:
|
[Asked if r21group = 4]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
121 |
6.0% |
0.05981216 |
2 |
Agree |
532 |
26.3% |
0.26297578 |
3 |
Disagree |
780 |
38.6% |
0.38556599 |
4 |
Strongly disagree |
390 |
19.3% |
0.19278300 |
5 |
Don't know |
150 |
7.4% |
0.07414731 |
97 |
Not answered |
50 |
2.5% |
0.02471577 |
98 |
Not asked |
8017 |
|
NA |
r21padkom8_2
Variable label:
|
Agree/disagree: The carbon tax should be tripled by 2030, making it
considerably more expensive to emit CO2
|
Pre-question text:
|
Please read the following statements on climate policy and state the
extent to which you agree or disagree with them:
|
Literal question:
|
The carbon tax should be tripled by 2030, making it considerably more
expensive to emit CO2.
|
Technical description:
|
[Asked if r21group = 4]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
170 |
8.4% |
0.08403361 |
2 |
Agree |
664 |
32.8% |
0.32822541 |
3 |
Disagree |
561 |
27.7% |
0.27731092 |
4 |
Strongly disagree |
334 |
16.5% |
0.16510133 |
5 |
Don't know |
240 |
11.9% |
0.11863569 |
97 |
Not answered |
54 |
2.7% |
0.02669303 |
98 |
Not asked |
8017 |
|
NA |
r21padkom8_3
Variable label:
|
Agree/disagree: The Norwegian oil and gas industry should be phased out
within the next 15 years
|
Pre-question text:
|
Please read the following statements on climate policy and state the
extent to which you agree or disagree with them:
|
Literal question:
|
The Norwegian oil and gas industry should be phased out within the next
15 years.
|
Technical description:
|
[Asked if r21group = 4]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
172 |
8.5% |
0.08502224 |
2 |
Agree |
422 |
20.9% |
0.20860109 |
3 |
Disagree |
623 |
30.8% |
0.30795848 |
4 |
Strongly disagree |
537 |
26.5% |
0.26544736 |
5 |
Don't know |
215 |
10.6% |
0.10627781 |
97 |
Not answered |
54 |
2.7% |
0.02669303 |
98 |
Not asked |
8017 |
|
NA |
r21padkom8_4
Variable label:
|
Agree/disagree: Could take part in a demonstration to get the government
to take action on the climate
|
Pre-question text:
|
Please read the following statements on climate policy and state the
extent to which you agree or disagree with them:
|
Literal question:
|
I could take part in a demonstration to get the government to take more
action on the climate.
|
Technical description:
|
[Asked if r21group = 4]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
119 |
5.9% |
0.05882353 |
2 |
Agree |
334 |
16.5% |
0.16510133 |
3 |
Disagree |
542 |
26.8% |
0.26791893 |
4 |
Strongly disagree |
679 |
33.6% |
0.33564014 |
5 |
Don't know |
297 |
14.7% |
0.14681167 |
97 |
Not answered |
52 |
2.6% |
0.02570440 |
98 |
Not asked |
8017 |
|
NA |
r21padkom10_articles
Variable label:
|
Experiment: List of articles shown
|
Pre-question text:
|
Experiment. The respondents were shown a «news site» with eight
fictitious news articles. Two of the articles ere treatment articles,
one negative and one positive. The rest were neutral.
The respondents were assigned at random to one of nine groups,
varying on article sorting method, visual prominence of the treatment
articles on the front page and geographic relevance for the
respondent.
The respondents could click and read the articles as they wished, and
could at any time return to the front page. Two minutes into the
experiment, the respondents were automatically sent to the next
question. The respondents could enter the question as many times as they
wished, with the first, second and last session being saved.
|
Literal question:
|
For the next two minutes, you will be able to click on and read news
on a news site reminiscent of an ordinary Norwegian news site. The news
items are reminiscent of and based on real items in Norwegian online
newspapers.
Please click on and read the items you want to read like you normally
would when you read news online. Click on the headlines to read the
articles and “To front page” to return to the front page.
The survey will automatically move on to the next question when two
minutes have passed. You will not have time to read all of the articles
carefully before the time runs out.
|
Technical attributes:
|
[Question type:Open] [Format:character] [Valid:3280] [Invalid:6760]
[Range:-]
|
r21padkom10_position
Variable label:
|
Experiment: Article display order
|
Pre-question text:
|
Experiment. The respondents were shown a «news site» with eight
fictitious news articles. Two of the articles ere treatment articles,
one negative and one positive. The rest were neutral.
The respondents were assigned at random to one of nine groups,
varying on article sorting method, visual prominence of the treatment
articles on the front page and geographic relevance for the
respondent.
The respondents could click and read the articles as they wished, and
could at any time return to the front page. Two minutes into the
experiment, the respondents were automatically sent to the next
question. The respondents could enter the question as many times as they
wished, with the first, second and last session being saved.
|
Literal question:
|
For the next two minutes, you will be able to click on and read news
on a news site reminiscent of an ordinary Norwegian news site. The news
items are reminiscent of and based on real items in Norwegian online
newspapers.
Please click on and read the items you want to read like you normally
would when you read news online. Click on the headlines to read the
articles and “To front page” to return to the front page.
The survey will automatically move on to the next question when two
minutes have passed. You will not have time to read all of the articles
carefully before the time runs out.
|
Technical attributes:
|
[Question type:Open] [Format:character] [Valid:10040] [Invalid:0]
[Range:-]
|
r21padkom10_time_1
Variable label:
|
Experiment session 1: Time spent reading articles
|
Pre-question text:
|
Experiment. The respondents were shown a «news site» with eight
fictitious news articles. Two of the articles ere treatment articles,
one negative and one positive. The rest were neutral.
The respondents were assigned at random to one of nine groups,
varying on article sorting method, visual prominence of the treatment
articles on the front page and geographic relevance for the
respondent.
The respondents could click and read the articles as they wished, and
could at any time return to the front page. Two minutes into the
experiment, the respondents were automatically sent to the next
question. The respondents could enter the question as many times as they
wished, with the first, second and last session being saved.
|
Literal question:
|
For the next two minutes, you will be able to click on and read news
on a news site reminiscent of an ordinary Norwegian news site. The news
items are reminiscent of and based on real items in Norwegian online
newspapers.
Please click on and read the items you want to read like you normally
would when you read news online. Click on the headlines to read the
articles and “To front page” to return to the front page.
The survey will automatically move on to the next question when two
minutes have passed. You will not have time to read all of the articles
carefully before the time runs out.
|
Technical attributes:
|
[Question type:Open] [Format:character] [Valid:3186] [Invalid:6854]
[Range:-]
|
r21padkom10_time_2
Variable label:
|
Experiment session 2: Time spent reading articles
|
Pre-question text:
|
Experiment. The respondents were shown a «news site» with eight
fictitious news articles. Two of the articles ere treatment articles,
one negative and one positive. The rest were neutral.
The respondents were assigned at random to one of nine groups,
varying on article sorting method, visual prominence of the treatment
articles on the front page and geographic relevance for the
respondent.
The respondents could click and read the articles as they wished, and
could at any time return to the front page. Two minutes into the
experiment, the respondents were automatically sent to the next
question. The respondents could enter the question as many times as they
wished, with the first, second and last session being saved.
|
Literal question:
|
For the next two minutes, you will be able to click on and read news
on a news site reminiscent of an ordinary Norwegian news site. The news
items are reminiscent of and based on real items in Norwegian online
newspapers.
Please click on and read the items you want to read like you normally
would when you read news online. Click on the headlines to read the
articles and “To front page” to return to the front page.
The survey will automatically move on to the next question when two
minutes have passed. You will not have time to read all of the articles
carefully before the time runs out.
|
Technical attributes:
|
[Question type:Open] [Format:character] [Valid:250] [Invalid:9790]
[Range:-]
|
r21padkom10_time_3
Variable label:
|
Experiment session 3: Time spent reading articles
|
Pre-question text:
|
Experiment. The respondents were shown a «news site» with eight
fictitious news articles. Two of the articles ere treatment articles,
one negative and one positive. The rest were neutral.
The respondents were assigned at random to one of nine groups,
varying on article sorting method, visual prominence of the treatment
articles on the front page and geographic relevance for the
respondent.
The respondents could click and read the articles as they wished, and
could at any time return to the front page. Two minutes into the
experiment, the respondents were automatically sent to the next
question. The respondents could enter the question as many times as they
wished, with the first, second and last session being saved.
|
Literal question:
|
For the next two minutes, you will be able to click on and read news
on a news site reminiscent of an ordinary Norwegian news site. The news
items are reminiscent of and based on real items in Norwegian online
newspapers.
Please click on and read the items you want to read like you normally
would when you read news online. Click on the headlines to read the
articles and “To front page” to return to the front page.
The survey will automatically move on to the next question when two
minutes have passed. You will not have time to read all of the articles
carefully before the time runs out.
|
Technical attributes:
|
[Question type:Open] [Format:character] [Valid:49] [Invalid:9991]
[Range:-]
|
r21padkom10_time_fp_1
Variable label:
|
Experiment session 1: Time spent on front page
|
Pre-question text:
|
Experiment. The respondents were shown a «news site» with eight
fictitious news articles. Two of the articles ere treatment articles,
one negative and one positive. The rest were neutral.
The respondents were assigned at random to one of nine groups,
varying on article sorting method, visual prominence of the treatment
articles on the front page and geographic relevance for the
respondent.
The respondents could click and read the articles as they wished, and
could at any time return to the front page. Two minutes into the
experiment, the respondents were automatically sent to the next
question. The respondents could enter the question as many times as they
wished, with the first, second and last session being saved.
|
Literal question:
|
For the next two minutes, you will be able to click on and read news
on a news site reminiscent of an ordinary Norwegian news site. The news
items are reminiscent of and based on real items in Norwegian online
newspapers.
Please click on and read the items you want to read like you normally
would when you read news online. Click on the headlines to read the
articles and “To front page” to return to the front page.
The survey will automatically move on to the next question when two
minutes have passed. You will not have time to read all of the articles
carefully before the time runs out.
|
Technical attributes:
|
[Question type:Numeric] [Format:character] [Valid:3186] [Invalid:6854]
[Range:-]
|
r21padkom10_time_fp_2
Variable label:
|
Experiment session 2: Time spent on front page
|
Pre-question text:
|
Experiment. The respondents were shown a «news site» with eight
fictitious news articles. Two of the articles ere treatment articles,
one negative and one positive. The rest were neutral.
The respondents were assigned at random to one of nine groups,
varying on article sorting method, visual prominence of the treatment
articles on the front page and geographic relevance for the
respondent.
The respondents could click and read the articles as they wished, and
could at any time return to the front page. Two minutes into the
experiment, the respondents were automatically sent to the next
question. The respondents could enter the question as many times as they
wished, with the first, second and last session being saved.
|
Literal question:
|
For the next two minutes, you will be able to click on and read news
on a news site reminiscent of an ordinary Norwegian news site. The news
items are reminiscent of and based on real items in Norwegian online
newspapers.
Please click on and read the items you want to read like you normally
would when you read news online. Click on the headlines to read the
articles and “To front page” to return to the front page.
The survey will automatically move on to the next question when two
minutes have passed. You will not have time to read all of the articles
carefully before the time runs out.
|
Technical attributes:
|
[Question type:Numeric] [Format:character] [Valid:250] [Invalid:9790]
[Range:-]
|
r21padkom10_time_fp_3
Variable label:
|
Experiment session 3: Time spent on front page
|
Pre-question text:
|
Experiment. The respondents were shown a «news site» with eight
fictitious news articles. Two of the articles ere treatment articles,
one negative and one positive. The rest were neutral.
The respondents were assigned at random to one of nine groups,
varying on article sorting method, visual prominence of the treatment
articles on the front page and geographic relevance for the
respondent.
The respondents could click and read the articles as they wished, and
could at any time return to the front page. Two minutes into the
experiment, the respondents were automatically sent to the next
question. The respondents could enter the question as many times as they
wished, with the first, second and last session being saved.
|
Literal question:
|
For the next two minutes, you will be able to click on and read news
on a news site reminiscent of an ordinary Norwegian news site. The news
items are reminiscent of and based on real items in Norwegian online
newspapers.
Please click on and read the items you want to read like you normally
would when you read news online. Click on the headlines to read the
articles and “To front page” to return to the front page.
The survey will automatically move on to the next question when two
minutes have passed. You will not have time to read all of the articles
carefully before the time runs out.
|
Technical attributes:
|
[Question type:Numeric] [Format:character] [Valid:49] [Invalid:9991]
[Range:-]
|
r21padkom10_click_order_session_1
Variable label:
|
Experiment session 1: Article click order
|
Pre-question text:
|
Experiment. The respondents were shown a «news site» with eight
fictitious news articles. Two of the articles ere treatment articles,
one negative and one positive. The rest were neutral.
The respondents were assigned at random to one of nine groups,
varying on article sorting method, visual prominence of the treatment
articles on the front page and geographic relevance for the
respondent.
The respondents could click and read the articles as they wished, and
could at any time return to the front page. Two minutes into the
experiment, the respondents were automatically sent to the next
question. The respondents could enter the question as many times as they
wished, with the first, second and last session being saved.
|
Literal question:
|
For the next two minutes, you will be able to click on and read news
on a news site reminiscent of an ordinary Norwegian news site. The news
items are reminiscent of and based on real items in Norwegian online
newspapers.
Please click on and read the items you want to read like you normally
would when you read news online. Click on the headlines to read the
articles and “To front page” to return to the front page.
The survey will automatically move on to the next question when two
minutes have passed. You will not have time to read all of the articles
carefully before the time runs out.
|
Technical attributes:
|
[Question type:Open] [Format:character] [Valid:2690] [Invalid:7350]
[Range:-]
|
r21padkom10_click_order_session_2
Variable label:
|
Experiment session 2: Article click order
|
Pre-question text:
|
Experiment. The respondents were shown a «news site» with eight
fictitious news articles. Two of the articles ere treatment articles,
one negative and one positive. The rest were neutral.
The respondents were assigned at random to one of nine groups,
varying on article sorting method, visual prominence of the treatment
articles on the front page and geographic relevance for the
respondent.
The respondents could click and read the articles as they wished, and
could at any time return to the front page. Two minutes into the
experiment, the respondents were automatically sent to the next
question. The respondents could enter the question as many times as they
wished, with the first, second and last session being saved.
|
Literal question:
|
For the next two minutes, you will be able to click on and read news
on a news site reminiscent of an ordinary Norwegian news site. The news
items are reminiscent of and based on real items in Norwegian online
newspapers.
Please click on and read the items you want to read like you normally
would when you read news online. Click on the headlines to read the
articles and “To front page” to return to the front page.
The survey will automatically move on to the next question when two
minutes have passed. You will not have time to read all of the articles
carefully before the time runs out.
|
Technical attributes:
|
[Question type:Open] [Format:character] [Valid:189] [Invalid:9851]
[Range:-]
|
r21padkom10_click_order_session_3
Variable label:
|
Experiment session 3: Article click order
|
Pre-question text:
|
Experiment. The respondents were shown a «news site» with eight
fictitious news articles. Two of the articles ere treatment articles,
one negative and one positive. The rest were neutral.
The respondents were assigned at random to one of nine groups,
varying on article sorting method, visual prominence of the treatment
articles on the front page and geographic relevance for the
respondent.
The respondents could click and read the articles as they wished, and
could at any time return to the front page. Two minutes into the
experiment, the respondents were automatically sent to the next
question. The respondents could enter the question as many times as they
wished, with the first, second and last session being saved.
|
Literal question:
|
For the next two minutes, you will be able to click on and read news
on a news site reminiscent of an ordinary Norwegian news site. The news
items are reminiscent of and based on real items in Norwegian online
newspapers.
Please click on and read the items you want to read like you normally
would when you read news online. Click on the headlines to read the
articles and “To front page” to return to the front page.
The survey will automatically move on to the next question when two
minutes have passed. You will not have time to read all of the articles
carefully before the time runs out.
|
Technical attributes:
|
[Question type:Open] [Format:character] [Valid:26] [Invalid:10014]
[Range:-]
|
r21padkom10_clock_sessiondata_1
Variable label:
|
Time left upon ending experiment. First session
|
Pre-question text:
|
Time left upon ending experiment. First session
|
Technical attributes:
|
[Question type:Open Text List] [Format:character] [Valid:3186]
[Invalid:6854] [Range:-]
|
r21padkom10_clock_sessiondata_2
Variable label:
|
Time left upon ending experiment. Second session
|
Pre-question text:
|
Time left upon ending experiment. Second session
|
Technical attributes:
|
[Question type:Open Text List] [Format:character] [Valid:250]
[Invalid:9790] [Range:-]
|
r21padkom10_clock_sessiondata_3
Variable label:
|
Time left upon ending experiment. Last session
|
Pre-question text:
|
Time left upon ending experiment. Last session
|
Technical attributes:
|
[Question type:Open Text List] [Format:character] [Valid:49]
[Invalid:9991] [Range:-]
|
r21padkom10_endby_sessiondata_1
Variable label:
|
Reason for ending experiment. First session
|
Pre-question text:
|
Reason for ending experiment. First session
|
Technical attributes:
|
[Question type:Open Text List] [Format:character] [Valid:3202]
[Invalid:6838] [Range:-]
|
r21padkom10_endby_sessiondata_2
Variable label:
|
Reason for ending experiment. Second session
|
Pre-question text:
|
Reason for ending experiment. Second session
|
Technical attributes:
|
[Question type:Open Text List] [Format:character] [Valid:251]
[Invalid:9789] [Range:-]
|
r21padkom10_endby_sessiondata_3
Variable label:
|
Reason for ending experiment. Last session
|
Pre-question text:
|
Reason for ending experiment. Last session
|
Technical attributes:
|
[Question type:Open Text List] [Format:character] [Valid:49]
[Invalid:9991] [Range:-]
|
r21padkom10_group
Variable label:
|
Treatment group assigned at random.
|
Pre-question text:
|
Experiment. Treatment group assigned at random.
|
Literal question:
|
Experiment. The respondents were shown a «news site» with eight
fictitious news articles. Two of the articles ere treatment articles,
one negative and one positive. The rest were neutral.
The respondents were assigned at random to one of nine groups,
varying on article sorting method, visual prominence of the treatment
articles on the front page and geographic relevance for the
respondent.
The respondents could click and read the articles as they wished, and
could at any time return to the front page. Two minutes into the
experiment, the respondents were automatically sent to the next
question. The respondents could enter the question as many times as they
wished, with the first, second and last session being saved.
|
Technical description:
|
[Randomized if r21group = 3,4]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:3284] [Invalid:6756]
[Range:1-9]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Group 1 - Baseline |
348 |
10.6% |
0.1059683 |
2 |
Group 2 - Negative relevant |
343 |
10.4% |
0.1044458 |
3 |
Group 3 - Positive relevant |
357 |
10.9% |
0.1087089 |
4 |
Group 4 - Negative visible |
378 |
11.5% |
0.1151035 |
5 |
Group 5 - Positive visible |
388 |
11.8% |
0.1181486 |
6 |
Group 6 - Negative relevant visible |
389 |
11.8% |
0.1184531 |
7 |
Group 7 - Positive relevant visible |
352 |
10.7% |
0.1071864 |
8 |
Group 8 - Negative visible + other article relevant |
350 |
10.7% |
0.1065773 |
9 |
Group 9 - Positive visible + other article relevant |
379 |
11.5% |
0.1154080 |
Sysmiss |
|
6756 |
|
NA |
r21padkom10_angle
Variable label:
|
Indicates whether the treatment article has a negative or positive
angle.
|
Pre-question text:
|
Experiment. Indicates whether the treatment article has a negative or
positive angle.
Based on r21padkom10_group:
positive [3, 5, 7, 9]
negative [2, 4, 6, 8]
|
Literal question:
|
Experiment. The respondents were shown a «news site» with eight
fictitious news articles. Two of the articles ere treatment articles,
one negative and one positive. The rest were neutral.
The respondents were assigned at random to one of nine groups,
varying on article sorting method, visual prominence of the treatment
articles on the front page and geographic relevance for the
respondent.
The respondents could click and read the articles as they wished, and
could at any time return to the front page. Two minutes into the
experiment, the respondents were automatically sent to the next
question. The respondents could enter the question as many times as they
wished, with the first, second and last session being saved.
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:2936] [Invalid:7104]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Positive |
1476 |
50.3% |
0.5027248 |
2 |
Negative |
1460 |
49.7% |
0.4972752 |
Sysmiss |
|
7104 |
|
NA |
r21padkom10_relevance
Variable label:
|
Indicates whether the treatment article is geographically relevant to
the respondent.
|
Pre-question text:
|
Experiment. Indicates whether the treatment article is geographically
relevant to the respondent.
Based on r21padkom10_group:
Relevant [2, 3, 6, 7, 8, 9]
Not relevant [1, 4, 5]
|
Literal question:
|
Experiment. The respondents were shown a «news site» with eight
fictitious news articles. Two of the articles ere treatment articles,
one negative and one positive. The rest were neutral.
The respondents were assigned at random to one of nine groups,
varying on article sorting method, visual prominence of the treatment
articles on the front page and geographic relevance for the
respondent.
The respondents could click and read the articles as they wished, and
could at any time return to the front page. Two minutes into the
experiment, the respondents were automatically sent to the next
question. The respondents could enter the question as many times as they
wished, with the first, second and last session being saved.
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:3284] [Invalid:6756]
[Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Yes - relevance in treatment (geography) |
1441 |
43.9% |
0.4387942 |
0 |
No - relevance not in treatment (geography) |
1843 |
56.1% |
0.5612058 |
Sysmiss |
|
6756 |
|
NA |
r21padkom10_enlarged
Variable label:
|
Indicates whether the treatment article was highlited with a large image
on the front page.
|
Pre-question text:
|
Experiment. Indicates whether the treatment article was highlited
with a large image on the front page.
Based on r21padkom10_group:
Large image [4, 5, 6, 7, 8, 9]
Small image [0, 1, 2, 3]
|
Literal question:
|
Experiment. The respondents were shown a «news site» with eight
fictitious news articles. Two of the articles ere treatment articles,
one negative and one positive. The rest were neutral.
The respondents were assigned at random to one of nine groups,
varying on article sorting method, visual prominence of the treatment
articles on the front page and geographic relevance for the
respondent.
The respondents could click and read the articles as they wished, and
could at any time return to the front page. Two minutes into the
experiment, the respondents were automatically sent to the next
question. The respondents could enter the question as many times as they
wished, with the first, second and last session being saved.
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:3284] [Invalid:6756]
[Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Yes - enhanced visibility |
2236 |
68.1% |
0.680877 |
0 |
No - not enhanced visibility |
1048 |
31.9% |
0.319123 |
Sysmiss |
|
6756 |
|
NA |
r21padkom10_order_option
Variable label:
|
Indicates the method for sorting the news articles.
|
Pre-question text:
|
Experiment. Indicates the method for sorting the news articles.
Based on r21padkom10_group:
Random order [0, 1, 2, 3]
Treatment article was displayed first [4, 5, 6, 7, 8, 9]
|
Literal question:
|
Experiment. The respondents were shown a «news site» with eight
fictitious news articles. Two of the articles ere treatment articles,
one negative and one positive. The rest were neutral.
The respondents were assigned at random to one of nine groups,
varying on article sorting method, visual prominence of the treatment
articles on the front page and geographic relevance for the
respondent.
The respondents could click and read the articles as they wished, and
could at any time return to the front page. Two minutes into the
experiment, the respondents were automatically sent to the next
question. The respondents could enter the question as many times as they
wished, with the first, second and last session being saved.
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:3284] [Invalid:6756]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Group 0, 1, 2, 3: All in random order |
1048 |
31.9% |
0.319123 |
2 |
Group 4, 5, 6, 7, 8 og 9: Treatment-article on top of page |
2236 |
68.1% |
0.680877 |
Sysmiss |
|
6756 |
|
NA |
r21padkom11
Variable label:
|
How close to/far from is the place mentioned in [r21padkom10_header]
from here you live?
|
Pre-question text:
|
The title of the article below mentions a place.
|
Literal question:
|
How close to or far from where you live is this?
|
Technical description:
|
[Asked if r21padkom10_relevance = 1 & r21group = 3,4]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very close/I live here |
943 |
65.4% |
0.65440666 |
2 |
Somewhat close |
186 |
12.9% |
0.12907703 |
3 |
Neither close nor far away |
130 |
9.0% |
0.09021513 |
4 |
Somewhat far away |
62 |
4.3% |
0.04302568 |
5 |
Very far away |
33 |
2.3% |
0.02290076 |
6 |
I haven't heard of this place. |
65 |
4.5% |
0.04510756 |
97 |
Not answered |
22 |
1.5% |
0.01526718 |
98 |
Not asked |
8599 |
|
NA |
r21padkom12_ran
Variable label:
|
Randomly selects if the respondents is shown a negative or positive
article.
|
Technical description:
|
[Randomized if r21group = 3,4]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:1843] [Invalid:8197]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Positive |
929 |
50.4% |
0.5040695 |
2 |
Negative |
914 |
49.6% |
0.4959305 |
Sysmiss |
|
8197 |
|
NA |
r21padkom12_articleheader
Variable label:
|
Randomly selected headline for r21padkom12
|
Technical description:
|
[Randomized if r21group = 3,4]
[Text data witheld due to privacy considerations. However, data can be
made available for researchers after contacting DIGSSCORE/University of
Bergen.]
|
Technical attributes:
|
[Question type:Open] [Format:character] [Valid:0] [Invalid:10040]
[Range:-]
|
r21padkom12
Variable label:
|
To what extent does [r21padkom12_articleheader] portray immigration in a
negative/positive way?
|
Pre-question text:
|
[r21padkom12_articleheader]
|
Literal question:
|
To what extent do you think the title of the article below portrays
immigration in a negative or positive way?
|
Technical description:
|
[Asked if r21padkom10_relevance = 0 & r21group = 3,4]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Portrays immigration in a very positive way |
74 |
4.0% |
0.04015193 |
2 |
Portrays immigration in a positive way |
532 |
28.9% |
0.28865979 |
3 |
Portrays immigration in neither a positive nor a negative way |
692 |
37.5% |
0.37547477 |
4 |
Portrays immigration in a negative way |
410 |
22.2% |
0.22246337 |
5 |
Portrays immigration in a very negative way |
82 |
4.4% |
0.04449267 |
97 |
Not answered |
53 |
2.9% |
0.02875746 |
98 |
Not asked |
8197 |
|
NA |
r21km_fly
Variable label:
|
How often did you travel by air in connection with holiday travel before
the Covid-19 pandemic?
|
Literal question:
|
If you think back to before the Covid-19 pandemic, how often would you
estimate that you travelled by air in connection with holiday travel?
|
Post-question:
|
If you choose the top option, please enter the number of flights in
the open field/on the line yourself.
|
Technical description:
|
[Asked if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
About ___ holiday flights (round-trip flights) a year |
1401 |
68.1% |
0.681088965 |
2 |
I flew less than once a year |
515 |
25.0% |
0.250364609 |
3 |
I never flew |
130 |
6.3% |
0.063198833 |
97 |
Not answered |
11 |
0.5% |
0.005347594 |
98 |
Not asked |
7983 |
|
NA |
r21km_fly_1_other
Variable label:
|
Open: How often did you travel by air in connection with holiday travel
before the Covid-19 pandemic?
|
Pre-question text:
|
If you think back to before the Covid-19 pandemic, how often would you
estimate that you travelled by air in connection with holiday travel?
|
Literal question:
|
[Open]
|
Post-question:
|
If you choose the top option, please enter the number of flights in
the open field/on the line yourself.
|
Technical description:
|
[Asked if r21group = 5]
|
Technical attributes:
|
[Question type:Single - Other] [Format:numeric] [Valid:1401]
[Invalid:8639] [Range:1-120]
|
Value |
Label |
Cases |
Percentage |
|
1 |
|
324 |
23.1% |
0.2312633833 |
2 |
|
526 |
37.5% |
0.3754461099 |
3 |
|
245 |
17.5% |
0.1748750892 |
4 |
|
159 |
11.3% |
0.1134903640 |
5 |
|
67 |
4.8% |
0.0478229836 |
6 |
|
41 |
2.9% |
0.0292648108 |
7 |
|
5 |
0.4% |
0.0035688794 |
8 |
|
8 |
0.6% |
0.0057102070 |
9 |
|
1 |
0.1% |
0.0007137759 |
10 |
|
16 |
1.1% |
0.0114204140 |
11 |
|
1 |
0.1% |
0.0007137759 |
12 |
|
4 |
0.3% |
0.0028551035 |
25 |
|
2 |
0.1% |
0.0014275517 |
30 |
|
1 |
0.1% |
0.0007137759 |
120 |
|
1 |
0.1% |
0.0007137759 |
Sysmiss |
|
8639 |
|
NA |
r21km_fly2
Variable label:
|
Travel more/less by air in connection with holiday travel after the
pandemic than before?
|
Literal question:
|
When the Covid-19 pandemic is over, do you think you will travel by air
in connection with holiday travel more often or less frequently than
before the pandemic?
|
Technical description:
|
[Asked if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Much more frequently |
14 |
0.7% |
0.006806028 |
2 |
More frequently |
38 |
1.8% |
0.018473505 |
3 |
A little more frequently |
82 |
4.0% |
0.039863879 |
4 |
About the same |
1365 |
66.4% |
0.663587749 |
5 |
A little less frequently |
284 |
13.8% |
0.138065143 |
6 |
Less frequently |
181 |
8.8% |
0.087992222 |
7 |
Much less frequently |
77 |
3.7% |
0.037433155 |
97 |
Not answered |
16 |
0.8% |
0.007778318 |
98 |
Not asked |
7983 |
|
NA |
r21km_fly4
Variable label:
|
Fits you: Most people I know associate holidays with flights abroad
|
Pre-question text:
|
To what extent do you agree with this statement?
|
Literal question:
|
Most people I know associate holidays with flights abroad.
|
Technical description:
|
[Asked if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
To a very large extent |
112 |
5.4% |
0.054448226 |
2 |
To a large extent |
568 |
27.6% |
0.276130287 |
3 |
To some extent |
906 |
44.0% |
0.440447253 |
4 |
To a small extent |
394 |
19.2% |
0.191541079 |
5 |
Not at all |
66 |
3.2% |
0.032085561 |
97 |
Not answered |
11 |
0.5% |
0.005347594 |
98 |
Not asked |
7983 |
|
NA |
r21meme8a_ran
Variable label:
|
Randomly selects alternative for r21meme8a
|
Technical description:
|
[Randomized if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:2054] [Invalid:7986]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
The Church of Norway has been debating whether or not to sell some buildings. A
proposal has now been made that involves a centrally located church being sold
and converted into a hotel run by a multinational commercial company |
390 |
19.0% |
0.1898734 |
2 |
The Church of Norway has been debating whether or not to sell some buildings. A
proposal has now been made that involves a centrally located church being sold
and converted into a mosque. |
420 |
20.4% |
0.2044791 |
3 |
The Church of Norway has been debating whether or not to sell some buildings. A
proposal has now been made that involves a centrally located church being sold
and converted into a mosque. The church spire will be replaced by a minaret. |
428 |
20.8% |
0.2083739 |
4 |
The Church of Norway has been debating whether or not to sell some buildings. A
proposal has now been made that involves a centrally located church being sold
and converted into a mosque. The conversion is being financed by Saudi Arabia. |
415 |
20.2% |
0.2020448 |
5 |
The Church of Norway has been debating whether or not to sell some buildings. A
proposal has now been made that involves a centrally located church being sold
and converted into a mosque. The church spire will be replaced by a minaret. The
conversion is being financed by Saudi Arabia. |
401 |
19.5% |
0.1952288 |
Sysmiss |
|
7986 |
|
NA |
r21meme8a
Variable label:
|
For or against proposal: Sell and convert church into [hotel/mosque]
|
Pre-question text:
|
The Church of Norway has been debating whether or not to sell some
buildings. A proposal has now been made that involves a centrally
located church being sold and converted into [a hotel run by a
multinational commercial company/a mosque]. [NO MENTION/ the church
spire will be replaced by a minaret]. The conversion [NO MENTION/is
being financed by Saudi Arabia].
|
Literal question:
|
Are you in favour of or against the proposal to sell the church?
|
Technical description:
|
[Asked if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Completely in favour |
169 |
8.2% |
0.08215848 |
2 |
Somewhat in favour |
431 |
21.0% |
0.20952844 |
3 |
Somewhat against |
548 |
26.6% |
0.26640739 |
4 |
Completely against |
886 |
43.1% |
0.43072436 |
97 |
Not answered |
23 |
1.1% |
0.01118133 |
98 |
Not asked |
7983 |
|
NA |
r21meme9_ran1
Variable label:
|
Experiment. Randomly selects alternative for r21meme9
|
Technical description:
|
[Randomized if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:2053] [Invalid:7987]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
leaders of Muslim communities |
1030 |
50.2% |
0.5017048 |
2 |
animal rights activists |
1023 |
49.8% |
0.4982952 |
Sysmiss |
|
7987 |
|
NA |
r21meme9_ran2
Variable label:
|
Experiment. Randomly selects alternative for r21meme9
|
Technical description:
|
[Randomized if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:2053] [Invalid:7987]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
if they are suspected of extremism |
696 |
33.9% |
0.3390161 |
2 |
if they apply for public funding |
683 |
33.3% |
0.3326839 |
3 |
to safeguard core values of society |
674 |
32.8% |
0.3283000 |
Sysmiss |
|
7987 |
|
NA |
r21meme9
Variable label:
|
For/against: The Government let PST monitor [Muslim leaders/animal right
activists] [if they are suspected of extremism/if they apply for public
funding/to safeguard core values of society]
|
Literal question:
|
Are you for or against the government allowing the Norwegian Police
Security Service (PST) to monitor the private lives of [leaders of
Muslim communities/animal rights activists] [if they are suspected of
extremism/ if they apply for public funding/to safeguard core values of
society]?
|
Technical description:
|
[Asked if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Completely in favour |
538 |
26.2% |
0.261545941 |
2 |
Somewhat in favour |
660 |
32.1% |
0.320855615 |
3 |
Somewhat against |
475 |
23.1% |
0.230918814 |
4 |
Completely against |
364 |
17.7% |
0.176956733 |
97 |
Not answered |
20 |
1.0% |
0.009722897 |
98 |
Not asked |
7983 |
|
NA |
r21meme12_ran1
Variable label:
|
Experiment. Randomly selects alternative for r21meme12
|
Technical description:
|
[Randomized if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:2051] [Invalid:7989]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
for Norway to function as it should |
718 |
35.0% |
0.3500731 |
2 |
to protect core Norwegian values |
692 |
33.7% |
0.3373964 |
3 |
to help stop global warming |
641 |
31.3% |
0.3125305 |
Sysmiss |
|
7989 |
|
NA |
r21meme12_ran2
Variable label:
|
Experiment. Randomly selects alternative for r21meme12
|
Technical description:
|
[Randomized if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:2051] [Invalid:7989]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
[blank] |
1052 |
51.3% |
0.5129205 |
2 |
– regardless of whether it is legal or not |
999 |
48.7% |
0.4870795 |
Sysmiss |
|
7989 |
|
NA |
r21meme12
Variable label:
|
Agree/disagree: Must [protect Norwegian values/stop global warming][even
if illegal]
|
Pre-question text:
|
To what extent do you agree or disagree with the following statement:
|
Literal question:
|
Given what the world looks like today, people have to do what it takes
[for Norway to function as it should/to protect core Norwegian values/to
help stop global warming] [not mentioned/- regardless of whether it is
legal or not].
|
Technical description:
|
[Asked if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Completely agree |
356 |
17.3% |
0.17306757 |
2 |
Agree |
701 |
34.1% |
0.34078755 |
3 |
Disagree |
683 |
33.2% |
0.33203695 |
4 |
Do not agree at all |
271 |
13.2% |
0.13174526 |
97 |
Not answered |
46 |
2.2% |
0.02236266 |
98 |
Not asked |
7983 |
|
NA |
r21meme13_ran1
Variable label:
|
Experiment. Randomly selects alternative for r21meme13
|
Technical description:
|
[Randomized if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:2048] [Invalid:7992]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
basic human rights |
694 |
33.9% |
0.3388672 |
2 |
the future of the earth |
690 |
33.7% |
0.3369141 |
3 |
Norwegian core values |
664 |
32.4% |
0.3242188 |
Sysmiss |
|
7992 |
|
NA |
r21meme13
Variable label:
|
Agree/disagree: Must work outside of democratic channels when [human
rights/values] are at stake
|
Pre-question text:
|
To what extent do you agree or disagree with the following statement:
|
Literal question:
|
Sometimes people have to take matters into their own hands instead of
using the formal democratic channels when [basic human rights/the future
of the earth/Norwegian core values] are at stake.
|
Technical description:
|
[Asked if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Completely agree |
87 |
4.2% |
0.04229460 |
2 |
Agree |
496 |
24.1% |
0.24112786 |
3 |
Disagree |
976 |
47.4% |
0.47447739 |
4 |
Do not agree at all |
452 |
22.0% |
0.21973748 |
97 |
Not answered |
46 |
2.2% |
0.02236266 |
98 |
Not asked |
7983 |
|
NA |
r21meme14_1
Variable label:
|
Good/bad proposal: Dramatically stricter sentences for criminals
|
Pre-question text:
|
What is your opinion of the following proposals?
|
Literal question:
|
Dramatically stricter sentences for criminals
|
Technical description:
|
[Asked if r21group = 5]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very good proposal |
373 |
18.1% |
0.18133204 |
2 |
Fairly good proposal |
609 |
29.6% |
0.29606223 |
3 |
Neither a good nor a bad proposal |
636 |
30.9% |
0.30918814 |
4 |
Fairly bad proposal |
319 |
15.5% |
0.15508021 |
5 |
Very bad proposal |
93 |
4.5% |
0.04521147 |
97 |
Not answered |
27 |
1.3% |
0.01312591 |
98 |
Not asked |
7983 |
|
NA |
r21meme14_2
Variable label:
|
Good/bad proposal: Reduce income inequalities in society
|
Pre-question text:
|
What is your opinion of the following proposals?
|
Literal question:
|
Reduce income inequalities in society
|
Technical description:
|
[Asked if r21group = 5]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very good proposal |
687 |
33.4% |
0.33398153 |
2 |
Fairly good proposal |
789 |
38.4% |
0.38356830 |
3 |
Neither a good nor a bad proposal |
381 |
18.5% |
0.18522120 |
4 |
Fairly bad proposal |
139 |
6.8% |
0.06757414 |
5 |
Very bad proposal |
32 |
1.6% |
0.01555664 |
97 |
Not answered |
29 |
1.4% |
0.01409820 |
98 |
Not asked |
7983 |
|
NA |
r21meme14_3
Variable label:
|
Good/bad proposal: Reserve more parental leave days for the
father/co-mother
|
Pre-question text:
|
What is your opinion of the following proposals?
|
Literal question:
|
Reserve more parental leave days for the father/co-mother
|
Technical description:
|
[Asked if r21group = 5]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very good proposal |
119 |
5.8% |
0.05785124 |
2 |
Fairly good proposal |
393 |
19.1% |
0.19105493 |
3 |
Neither a good nor a bad proposal |
937 |
45.6% |
0.45551774 |
4 |
Fairly bad proposal |
383 |
18.6% |
0.18619349 |
5 |
Very bad proposal |
186 |
9.0% |
0.09042295 |
97 |
Not answered |
39 |
1.9% |
0.01895965 |
98 |
Not asked |
7983 |
|
NA |
r21meme14_4
Variable label:
|
Good/bad proposal: Work to strengthen private entrepreneurship/market
economy
|
Pre-question text:
|
What is your opinion of the following proposals?
|
Literal question:
|
Work to strengthen private entrepreneurship and the market economy
|
Technical description:
|
[Asked if r21group = 5]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very good proposal |
265 |
12.9% |
0.12882839 |
2 |
Fairly good proposal |
734 |
35.7% |
0.35683034 |
3 |
Neither a good nor a bad proposal |
697 |
33.9% |
0.33884298 |
4 |
Fairly bad proposal |
267 |
13.0% |
0.12980068 |
5 |
Very bad proposal |
63 |
3.1% |
0.03062713 |
97 |
Not answered |
31 |
1.5% |
0.01507049 |
98 |
Not asked |
7983 |
|
NA |
r21meme14_5
Variable label:
|
Good/bad proposal: Make more space for Christian cultural heritage in
Norway
|
Pre-question text:
|
What is your opinion of the following proposals?
|
Literal question:
|
Make more space for Christian cultural heritage in Norway
|
Technical description:
|
[Asked if r21group = 5]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very good proposal |
201 |
9.8% |
0.09771512 |
2 |
Fairly good proposal |
440 |
21.4% |
0.21390374 |
3 |
Neither a good nor a bad proposal |
748 |
36.4% |
0.36363636 |
4 |
Fairly bad proposal |
398 |
19.3% |
0.19348566 |
5 |
Very bad proposal |
241 |
11.7% |
0.11716091 |
97 |
Not answered |
29 |
1.4% |
0.01409820 |
98 |
Not asked |
7983 |
|
NA |
r21meme14_6
Variable label:
|
Good/bad proposal: Strengthening the State’s control over business and
industry
|
Pre-question text:
|
What is your opinion of the following proposals?
|
Literal question:
|
Strengthening the State’s control over business and industry
|
Technical description:
|
[Asked if r21group = 5]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very good proposal |
119 |
5.8% |
0.05785124 |
2 |
Fairly good proposal |
532 |
25.9% |
0.25862907 |
3 |
Neither a good nor a bad proposal |
704 |
34.2% |
0.34224599 |
4 |
Fairly bad proposal |
519 |
25.2% |
0.25230919 |
5 |
Very bad proposal |
148 |
7.2% |
0.07194944 |
97 |
Not answered |
35 |
1.7% |
0.01701507 |
98 |
Not asked |
7983 |
|
NA |
r21meme14_7
Variable label:
|
Good/bad proposal: Accept fewer refugees
|
Pre-question text:
|
What is your opinion of the following proposals?
|
Literal question:
|
Accept fewer refugees
|
Technical description:
|
[Asked if r21group = 5]
[Answer list display order: Randomize]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very good proposal |
254 |
12.3% |
0.12348080 |
2 |
Fairly good proposal |
336 |
16.3% |
0.16334468 |
3 |
Neither a good nor a bad proposal |
617 |
30.0% |
0.29995139 |
4 |
Fairly bad proposal |
568 |
27.6% |
0.27613029 |
5 |
Very bad proposal |
247 |
12.0% |
0.12007778 |
97 |
Not answered |
35 |
1.7% |
0.01701507 |
98 |
Not asked |
7983 |
|
NA |
r21meme15_1
Variable label:
|
Describes you how well: Important to be unprejudiced towards Muslims
|
Pre-question text:
|
How well or poorly would you say the following descriptions apply to
you:
|
Literal question:
|
It is important for me personally to be unprejudiced towards Muslims.
|
Technical description:
|
[Asked if r21group = 5]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very well |
333 |
16.2% |
0.16188624 |
2 |
Well |
754 |
36.7% |
0.36655323 |
3 |
Somewhat well |
401 |
19.5% |
0.19494409 |
4 |
Neither well nor poorly |
389 |
18.9% |
0.18911035 |
5 |
Somewhat poorly |
78 |
3.8% |
0.03791930 |
6 |
Poorly |
40 |
1.9% |
0.01944579 |
7 |
Very poorly |
34 |
1.7% |
0.01652893 |
97 |
Not answered |
28 |
1.4% |
0.01361206 |
98 |
Not asked |
7983 |
|
NA |
r21meme15_2
Variable label:
|
Describes you how well: Feel guilty if I think negatively about
immigrants
|
Pre-question text:
|
How well or poorly would you say the following descriptions apply to
you:
|
Literal question:
|
I feel guilty if I think negatively about immigrants.
|
Technical description:
|
[Asked if r21group = 5]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very well |
146 |
7.1% |
0.07097715 |
2 |
Well |
368 |
17.9% |
0.17890131 |
3 |
Somewhat well |
351 |
17.1% |
0.17063685 |
4 |
Neither well nor poorly |
643 |
31.3% |
0.31259115 |
5 |
Somewhat poorly |
207 |
10.1% |
0.10063199 |
6 |
Poorly |
180 |
8.8% |
0.08750608 |
7 |
Very poorly |
124 |
6.0% |
0.06028196 |
97 |
Not answered |
38 |
1.8% |
0.01847351 |
98 |
Not asked |
7983 |
|
NA |
r21meme15_3
Variable label:
|
Describes you how well: Try to be unprejudiced towards immigrants
because of my own convictions
|
Pre-question text:
|
How well or poorly would you say the following descriptions apply to
you:
|
Literal question:
|
I try to be unprejudiced towards immigrants because of my own
convictions.
|
Technical description:
|
[Asked if r21group = 5]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very well |
295 |
14.3% |
0.14341274 |
2 |
Well |
697 |
33.9% |
0.33884298 |
3 |
Somewhat well |
423 |
20.6% |
0.20563928 |
4 |
Neither well nor poorly |
447 |
21.7% |
0.21730676 |
5 |
Somewhat poorly |
75 |
3.6% |
0.03646087 |
6 |
Poorly |
50 |
2.4% |
0.02430724 |
7 |
Very poorly |
33 |
1.6% |
0.01604278 |
97 |
Not answered |
37 |
1.8% |
0.01798736 |
98 |
Not asked |
7983 |
|
NA |
r21meme15_4
Variable label:
|
Describes you how well: Don’t want to appear racist, not even to myself
|
Pre-question text:
|
How well or poorly would you say the following descriptions apply to
you:
|
Literal question:
|
I don’t want to appear racist, not even to myself.
|
Technical description:
|
[Asked if r21group = 5]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very well |
479 |
23.3% |
0.23286339 |
2 |
Well |
679 |
33.0% |
0.33009237 |
3 |
Somewhat well |
298 |
14.5% |
0.14487117 |
4 |
Neither well nor poorly |
408 |
19.8% |
0.19834711 |
5 |
Somewhat poorly |
77 |
3.7% |
0.03743316 |
6 |
Poorly |
44 |
2.1% |
0.02139037 |
7 |
Very poorly |
41 |
2.0% |
0.01993194 |
97 |
Not answered |
31 |
1.5% |
0.01507049 |
98 |
Not asked |
7983 |
|
NA |
r21km_oljefremtid_ran
Variable label:
|
Randomly selects whether alternatives in r21km_oljefremtid are shown in
reverse order
|
Technical description:
|
[Randomized if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:2040] [Invalid:8000]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Normal |
1017 |
49.9% |
0.4985294 |
2 |
Flipped |
1023 |
50.1% |
0.5014706 |
Sysmiss |
|
8000 |
|
NA |
r21km_oljefremtid
Variable label:
|
Statement: In 20-30 years, the oil and gas industry should be more/less
developed
|
Pre-question text:
|
Production of oil and gas is an important industry for Norway. The
industry provides many jobs and considerable income for society. At the
same time, burning fossil energy is the main cause of climate change.
Opening new areas is also controversial because it can affect life in
the sea and at the ice edge. There are frequent debates about how the
oil and gas industry in Norway should be developed over the next 20 to
30 years.
|
Literal question:
|
Which of the following alternatives is closest to your view?
|
Post-question:
|
In 20 to 30 years, the industry should be…
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
As developed as possible |
88 |
4.3% |
0.043307087 |
2 |
More developed than today |
79 |
3.9% |
0.038877953 |
3 |
As developed as today |
503 |
24.8% |
0.247539370 |
4 |
Less developed than it is today |
839 |
41.3% |
0.412893701 |
5 |
As little as possible |
516 |
25.4% |
0.253937008 |
97 |
|
7 |
0.3% |
0.003444882 |
98 |
|
8008 |
|
NA |
r21km_trusselpersonlig
Variable label:
|
How serious a threat is climate change to you personally?
|
Literal question:
|
How serious a threat is climate change to you personally?
|
Technical description:
|
[Asked if r21group = 5]
[Randomised question order with r21km_trusselsamlet.]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very serious |
190 |
9.2% |
0.09236753 |
2 |
Serious |
536 |
26.1% |
0.26057365 |
3 |
Somewhat serious |
649 |
31.6% |
0.31550802 |
4 |
Not very serious |
458 |
22.3% |
0.22265435 |
5 |
Not a threat |
194 |
9.4% |
0.09431211 |
97 |
Not answered |
30 |
1.5% |
0.01458435 |
98 |
Not asked |
7983 |
|
NA |
r21km_trusselsamlet
Variable label:
|
How serious a threat is climate change overall?
|
Literal question:
|
How serious a threat is climate change overall?
|
Technical description:
|
[Asked if r21group = 5]
[Randomised question order with r21km_trusselpersonlig.]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very serious |
723 |
35.1% |
0.35148274 |
2 |
Serious |
717 |
34.9% |
0.34856587 |
3 |
Somewhat serious |
411 |
20.0% |
0.19980554 |
4 |
Not very serious |
112 |
5.4% |
0.05444823 |
5 |
Not a threat |
63 |
3.1% |
0.03062713 |
97 |
Not answered |
31 |
1.5% |
0.01507049 |
98 |
Not asked |
7983 |
|
NA |
r21km_fly3
Variable label:
|
Can reducing your own flights can help limit climate change?
|
Literal question:
|
To what extent do you think reducing your own flights can help limit
climate change?
|
Technical description:
|
[Asked if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
To a very great extent |
61 |
3.0% |
0.02965484 |
2 |
To a great extent |
163 |
7.9% |
0.07924161 |
3 |
To some extent |
675 |
32.8% |
0.32814779 |
4 |
To a small extent |
720 |
35.0% |
0.35002431 |
5 |
Not at all |
405 |
19.7% |
0.19688867 |
97 |
Not answered |
33 |
1.6% |
0.01604278 |
98 |
Not asked |
7983 |
|
NA |
r21km_fly5
Variable label:
|
Agree: Most people I know believe that we should reduce the number of
flights
|
Pre-question text:
|
To what extent do you agree with this statement?
|
Literal question:
|
Most people I know believe that we should reduce the number of flights
for climate reasons.
|
Technical description:
|
[Asked if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
To a very great extent |
54 |
2.6% |
0.02625182 |
2 |
To a great extent |
262 |
12.7% |
0.12736996 |
3 |
To some extent |
848 |
41.2% |
0.41225085 |
4 |
To a small extent |
663 |
32.2% |
0.32231405 |
5 |
Not at all |
190 |
9.2% |
0.09236753 |
97 |
Not answered |
40 |
1.9% |
0.01944579 |
98 |
Not asked |
7983 |
|
NA |
r21km_fly6
Variable label:
|
Does the pandemic make it easier/more difficult to reduce flights for
climate reasons in the future?
|
Pre-question text:
|
Fewer flights can help limit climate change. During the Covid-19
pandemic, we have had to reduce the number of flights.
|
Literal question:
|
Do you think this experience from the Covid-19 pandemic may make it
easier or more difficult to reduce flights for climate reasons in the
future?
|
Technical description:
|
[Asked if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very much easier |
72 |
3.5% |
0.035002431 |
2 |
Much easier |
387 |
18.8% |
0.188138065 |
3 |
A bit easier |
943 |
45.8% |
0.458434614 |
4 |
No difference |
540 |
26.3% |
0.262518230 |
5 |
A bit harder |
64 |
3.1% |
0.031113272 |
6 |
Much harder |
12 |
0.6% |
0.005833738 |
7 |
Very much harder |
6 |
0.3% |
0.002916869 |
97 |
Not answered |
33 |
1.6% |
0.016042781 |
98 |
Not asked |
7983 |
|
NA |
r21padkom9_ran
Variable label:
|
Randomly selects r21PADKOM9a, r21PADKOM9b or r21PADKOM9c.
|
Technical description:
|
[Randomized if r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:2032] [Invalid:8008]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
r21PADKOM9a |
679 |
33.4% |
0.3341535 |
2 |
r21PADKOM9b |
688 |
33.9% |
0.3385827 |
3 |
r21PADKOM9c |
665 |
32.7% |
0.3272638 |
Sysmiss |
|
8008 |
|
NA |
r21padkom9a
Variable label:
|
How to redistribute payment that was first determined by lottery?
|
Pre-question text:
|
Imagine that two individuals are recruited to do a job, let’s call
them Worker A and Worker B. They are told that their payment will be
determined by a lottery. The worker who wins the lottery will earn NOK
6,000 for the work, and the other worker will earn nothing.
You will have the opportunity to determine how much each of them
receive. The workers will not be told the result of the lottery but will
be told that another person will determine their payment for the
work.
Imagine that Worker A wins the lottery.
|
Literal question:
|
Please specify which of the following options would you choose.
|
Technical description:
|
[Asked if r21padkom9_ran = 1 & r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Worker A would receive NOK 6,000 and Worker B would receive NOK 0 |
54 |
8.0% |
0.079528719 |
2 |
Worker A would receive NOK 5,000 and Worker B would receive NOK 1,000 |
12 |
1.8% |
0.017673049 |
3 |
Worker A would receive NOK 4,000 and Worker B would receive NOK 2,000 |
42 |
6.2% |
0.061855670 |
4 |
Worker A would receive NOK 3,000 and Worker B would receive NOK 3,000 |
546 |
80.4% |
0.804123711 |
5 |
Worker A would receive NOK 2,000 and Worker B would receive NOK 4,000 |
2 |
0.3% |
0.002945508 |
6 |
Worker A would receive NOK 1,000 and Worker B would receive NOK 5,000 |
1 |
0.1% |
0.001472754 |
7 |
Worker A would receive NOK 0 and Worker B would receive NOK 6,000 |
3 |
0.4% |
0.004418262 |
97 |
Not answered |
19 |
2.8% |
0.027982327 |
98 |
Not asked |
9361 |
|
NA |
r21padkom9b
Variable label:
|
How to redistribute payment that was first determined by productivity?
|
Pre-question text:
|
Imagine that two individuals are recruited to do a job, let’s call
them Worker A and Worker B. They are told that their payment for their
work will be determined by their productivity. The most productive
worker will earn NOK 6,000 for the work and the least productive will
earn nothing.
You will have the opportunity to determine how much each of them
receive. The workers will not be told who was the most productive but
will be told that another person will determine their payment for the
work.
Imagine that Worker A was the most productive.
You will have the opportunity to determine how much each of them
receive. The workers will not be told who was the most productive but
will be told that another person will determine their payment for the
work.
Imagine that Worker A was the most productive.
|
Literal question:
|
Please specify which of the following options would you choose.
|
Technical description:
|
[Asked if r21padkom9_ran = 2 & r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Worker A would receive NOK 6,000 and Worker B would receive NOK 0 |
39 |
5.7% |
0.056686047 |
2 |
Worker A would receive NOK 5,000 and Worker B would receive NOK 1,000 |
45 |
6.5% |
0.065406977 |
3 |
Worker A would receive NOK 4,000 and Worker B would receive NOK 2,000 |
368 |
53.5% |
0.534883721 |
4 |
Worker A would receive NOK 3,000 and Worker B would receive NOK 3,000 |
216 |
31.4% |
0.313953488 |
5 |
Worker A would receive NOK 2,000 and Worker B would receive NOK 4,000 |
0 |
0.0% |
0.000000000 |
6 |
Worker A would receive NOK 1,000 and Worker B would receive NOK 5,000 |
2 |
0.3% |
0.002906977 |
7 |
Worker A would receive NOK 0 and Worker B would receive NOK 6,000 |
2 |
0.3% |
0.002906977 |
97 |
Not answered |
16 |
2.3% |
0.023255814 |
98 |
Not asked |
9352 |
|
NA |
r21padkom9c
Variable label:
|
How to redistribute lottery-determined payment, when it entails a cost
for the lottery’s winner?
|
Pre-question text:
|
Imagine that two individuals are recruited to do a job, let’s call
them Worker A and Worker B. They are told that their payment will be
determined by a lottery. The worker who wins the lottery will earn NOK
6,000 for the work, and the other worker will earn nothing.
You will have the opportunity to determine how much each of them
receive, although this will entail a cost. If you choose to
redistribute, a NOK 1,000 increase in Worker B’s payment will result in
a NOK 2,000 reduction in Worker A’s payment.
The workers will not be told the result of the lottery but will be
told that another person will determine their payment for the work.
Imagine that Worker A wins the lottery.
|
Literal question:
|
Please specify which of the following options would you choose.
|
Technical description:
|
[Asked if r21padkom9_ran = 3 & r21group = 5]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Worker A would receive NOK 6,000 and Worker B would receive NOK 0 |
58 |
8.7% |
0.087218045 |
2 |
Worker A would receive NOK 4,000 and Worker B would receive NOK 1,000 |
43 |
6.5% |
0.064661654 |
3 |
Worker A would receive NOK 2,000 and Worker B would receive NOK 2,000 |
540 |
81.2% |
0.812030075 |
4 |
Worker A would receive NOK 0 and Worker B would receive NOK 3,000 |
2 |
0.3% |
0.003007519 |
97 |
Not answered |
22 |
3.3% |
0.033082707 |
98 |
Not asked |
9375 |
|
NA |
r21bktivi_1
Variable label:
|
Resembles me: Respect for parents and elders, obedience
|
Pre-question text:
|
Here we briefly describe some people. Read each description, and think
about how much this person resembles you. For each person described,
check the form for how much this person resembles or does not resemble
you.
|
Literal question:
|
[He/She] believes that he should always show respect for his parents and
for older people. It’s important to [him/her] to be obedient.
|
Technical description:
|
[Asked if rekruttert = 18]
[Answer list display order: Randomize]
[The person described in the question has the same gender as the
respondent.]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
6 |
6 Very much resembles me |
57 |
5.2% |
0.05219780 |
5 |
5 Resembles me |
231 |
21.2% |
0.21153846 |
4 |
4 Somewhat resembles me |
419 |
38.4% |
0.38369963 |
3 |
3 Slightly resembles me |
211 |
19.3% |
0.19322344 |
2 |
2 Does not resemble me |
104 |
9.5% |
0.09523810 |
1 |
1 Does not resemble me at all |
42 |
3.8% |
0.03846154 |
97 |
Not answered |
28 |
2.6% |
0.02564103 |
98 |
Not asked |
8948 |
|
NA |
r21bktivi_2
Variable label:
|
Resembles me: Religion important, fulfills religious requirements
|
Pre-question text:
|
Here we briefly describe some people. Read each description, and think
about how much this person resembles you. For each person described,
check the form for how much this person resembles or does not resemble
you.
|
Literal question:
|
Religious faith is important to [him/her]. [He/She] endeavours to do
what [his/her] religion requires.
|
Technical description:
|
[Asked if rekruttert = 18]
[Answer list display order: Randomize]
[The person described in the question has the same gender as the
respondent.]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
6 |
6 Very much resembles me |
9 |
0.8% |
0.008241758 |
5 |
5 Resembles me |
34 |
3.1% |
0.031135531 |
4 |
4 Somewhat resembles me |
90 |
8.2% |
0.082417582 |
3 |
3 Slightly resembles me |
150 |
13.7% |
0.137362637 |
2 |
2 Does not resemble me |
214 |
19.6% |
0.195970696 |
1 |
1 Does not resemble me at all |
567 |
51.9% |
0.519230769 |
97 |
Not answered |
28 |
2.6% |
0.025641026 |
98 |
Not asked |
8948 |
|
NA |
r21bktivi_3
Variable label:
|
Resembles me: Important to help people, wants to make others do well
|
Pre-question text:
|
Here we briefly describe some people. Read each description, and think
about how much this person resembles you. For each person described,
check the form for how much this person resembles or does not resemble
you.
|
Literal question:
|
It’s very important to [him/her] to help the people around him. [He/She]
wants to do something to make sure they are doing well.
|
Technical description:
|
[Asked if rekruttert = 18]
[Answer list display order: Randomize]
[The person described in the question has the same gender as the
respondent.]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
6 |
6 Very much resembles me |
179 |
16.4% |
0.1639194139 |
5 |
5 Resembles me |
423 |
38.7% |
0.3873626374 |
4 |
4 Somewhat resembles me |
377 |
34.5% |
0.3452380952 |
3 |
3 Slightly resembles me |
73 |
6.7% |
0.0668498168 |
2 |
2 Does not resemble me |
9 |
0.8% |
0.0082417582 |
1 |
1 Does not resemble me at all |
1 |
0.1% |
0.0009157509 |
97 |
Not answered |
30 |
2.7% |
0.0274725275 |
98 |
Not asked |
8948 |
|
NA |
r21bktivi_4
Variable label:
|
Resembles me: Treat people equally, equal opportunities
|
Pre-question text:
|
Here we briefly describe some people. Read each description, and think
about how much this person resembles you. For each person described,
check the form for how much this person resembles or does not resemble
you.
|
Literal question:
|
[He/She] thinks it’s important that all people in the world be treated
equally. [He/She] thinks everyone should have equal opportunities in
life.
|
Technical description:
|
[Asked if rekruttert = 18]
[Answer list display order: Randomize]
[The person described in the question has the same gender as the
respondent.]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
6 |
6 Very much resembles me |
287 |
26.3% |
0.262820513 |
5 |
5 Resembles me |
399 |
36.5% |
0.365384615 |
4 |
4 Somewhat resembles me |
299 |
27.4% |
0.273809524 |
3 |
3 Slightly resembles me |
64 |
5.9% |
0.058608059 |
2 |
2 Does not resemble me |
13 |
1.2% |
0.011904762 |
1 |
1 Does not resemble me at all |
2 |
0.2% |
0.001831502 |
97 |
Not answered |
28 |
2.6% |
0.025641026 |
98 |
Not asked |
8948 |
|
NA |
r21bktivi_5
Variable label:
|
Resembles me: Interest important, likes to be curious and understand
things
|
Pre-question text:
|
Here we briefly describe some people. Read each description, and think
about how much this person resembles you. For each person described,
check the form for how much this person resembles or does not resemble
you.
|
Literal question:
|
[He/She] thinks it’s important to be interested in things. [He/She]
likes to be curious and tries to understand all sorts of issues.
|
Technical description:
|
[Asked if rekruttert = 18]
[Answer list display order: Randomize]
[The person described in the question has the same gender as the
respondent.]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
6 |
6 Very much resembles me |
219 |
20.1% |
0.200549451 |
5 |
5 Resembles me |
365 |
33.4% |
0.334249084 |
4 |
4 Somewhat resembles me |
358 |
32.8% |
0.327838828 |
3 |
3 Slightly resembles me |
95 |
8.7% |
0.086996337 |
2 |
2 Does not resemble me |
25 |
2.3% |
0.022893773 |
1 |
1 Does not resemble me at all |
2 |
0.2% |
0.001831502 |
97 |
Not answered |
28 |
2.6% |
0.025641026 |
98 |
Not asked |
8948 |
|
NA |
r21bktivi_6
Variable label:
|
Resembles me: Likes risks, looks for new experiences
|
Pre-question text:
|
Here we briefly describe some people. Read each description, and think
about how much this person resembles you. For each person described,
check the form for how much this person resembles or does not resemble
you.
|
Literal question:
|
[He/She] likes to take risks. [He/She]’s always looking for new
experiences.
|
Technical description:
|
[Asked if rekruttert = 18]
[Answer list display order: Randomize]
[The person described in the question has the same gender as the
respondent.]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
6 |
6 Very much resembles me |
26 |
2.4% |
0.02380952 |
5 |
5 Resembles me |
86 |
7.9% |
0.07875458 |
4 |
4 Somewhat resembles me |
256 |
23.4% |
0.23443223 |
3 |
3 Slightly resembles me |
374 |
34.2% |
0.34249084 |
2 |
2 Does not resemble me |
223 |
20.4% |
0.20421245 |
1 |
1 Does not resemble me at all |
97 |
8.9% |
0.08882784 |
97 |
Not answered |
30 |
2.7% |
0.02747253 |
98 |
Not asked |
8948 |
|
NA |
r21bktivi_7
Variable label:
|
Resembles me: Seeks out fun, important to do things that brings pleasure
|
Pre-question text:
|
Here we briefly describe some people. Read each description, and think
about how much this person resembles you. For each person described,
check the form for how much this person resembles or does not resemble
you.
|
Literal question:
|
[He/She] seeks out any opportunity to have fun. It is important for him
to do things that give him pleasure.
|
Technical description:
|
[Asked if rekruttert = 18]
[Answer list display order: Randomize]
[The person described in the question has the same gender as the
respondent.]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
6 |
6 Very much resembles me |
39 |
3.6% |
0.03571429 |
5 |
5 Resembles me |
133 |
12.2% |
0.12179487 |
4 |
4 Somewhat resembles me |
399 |
36.5% |
0.36538462 |
3 |
3 Slightly resembles me |
335 |
30.7% |
0.30677656 |
2 |
2 Does not resemble me |
112 |
10.3% |
0.10256410 |
1 |
1 Does not resemble me at all |
48 |
4.4% |
0.04395604 |
97 |
Not answered |
26 |
2.4% |
0.02380952 |
98 |
Not asked |
8948 |
|
NA |
r21bktivi_8
Variable label:
|
Resembles me: Important to be successful, likes to impress
|
Pre-question text:
|
Here we briefly describe some people. Read each description, and think
about how much this person resembles you. For each person described,
check the form for how much this person resembles or does not resemble
you.
|
Literal question:
|
It’s important to [him/her] to be successful. [He/She] likes to impress
other people.
|
Technical description:
|
[Asked if rekruttert = 18]
[Answer list display order: Randomize]
[The person described in the question has the same gender as the
respondent.]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
6 |
6 Very much resembles me |
17 |
1.6% |
0.01556777 |
5 |
5 Resembles me |
97 |
8.9% |
0.08882784 |
4 |
4 Somewhat resembles me |
276 |
25.3% |
0.25274725 |
3 |
3 Slightly resembles me |
374 |
34.2% |
0.34249084 |
2 |
2 Does not resemble me |
195 |
17.9% |
0.17857143 |
1 |
1 Does not resemble me at all |
105 |
9.6% |
0.09615385 |
97 |
Not answered |
28 |
2.6% |
0.02564103 |
98 |
Not asked |
8948 |
|
NA |
r21bktivi_9
Variable label:
|
Resembles me: Likes to lead, wants others to do as they say
|
Pre-question text:
|
Here we briefly describe some people. Read each description, and think
about how much this person resembles you. For each person described,
check the form for how much this person resembles or does not resemble
you.
|
Literal question:
|
It is important for him to take the lead and tell others what to do. He
wants people to do as he says.
|
Technical description:
|
[Asked if rekruttert = 18]
[Answer list display order: Randomize]
[The person described in the question has the same gender as the
respondent.]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
6 |
6 Very much resembles me |
6 |
0.5% |
0.005494505 |
5 |
5 Resembles me |
61 |
5.6% |
0.055860806 |
4 |
4 Somewhat resembles me |
298 |
27.3% |
0.272893773 |
3 |
3 Slightly resembles me |
349 |
32.0% |
0.319597070 |
2 |
2 Does not resemble me |
225 |
20.6% |
0.206043956 |
1 |
1 Does not resemble me at all |
126 |
11.5% |
0.115384615 |
97 |
Not answered |
27 |
2.5% |
0.024725275 |
98 |
Not asked |
8948 |
|
NA |
r21bktivi_10
Variable label:
|
Resembles me: Tidiness and cleanliness important, doesn’t like mess
|
Pre-question text:
|
Here we briefly describe some people. Read each description, and think
about how much this person resembles you. For each person described,
check the form for how much this person resembles or does not resemble
you.
|
Literal question:
|
It’s important to [him/her] that things are tidy and clean. [He/She]
really doesn’t like things to be messy.
|
Technical description:
|
[Asked if rekruttert = 18]
[Answer list display order: Randomize]
[The person described in the question has the same gender as the
respondent.]
|
Technical attributes:
|
[Question type:Grid] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
6 |
6 Very much resembles me |
141 |
12.9% |
0.12912088 |
5 |
5 Resembles me |
278 |
25.5% |
0.25457875 |
4 |
4 Somewhat resembles me |
383 |
35.1% |
0.35073260 |
3 |
3 Slightly resembles me |
161 |
14.7% |
0.14743590 |
2 |
2 Does not resemble me |
79 |
7.2% |
0.07234432 |
1 |
1 Does not resemble me at all |
23 |
2.1% |
0.02106227 |
97 |
Not answered |
27 |
2.5% |
0.02472527 |
98 |
Not asked |
8948 |
|
NA |
r21padkom34
Variable label:
|
Agree/disagree: Tend to exploit others for my own gain
|
Pre-question text:
|
To what extent do you agree or disagree with the following
statement:
|
Literal question:
|
I tend to exploit others for my own gain.
|
Technical description:
|
[Asked if r21group = 3]
|
Technical attributes:
|
[Question type:Single] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Strongly agree |
4 |
0.2% |
0.002060793 |
2 |
Agree |
4 |
0.2% |
0.002060793 |
3 |
Somewhat agree |
47 |
2.4% |
0.024214323 |
4 |
Neither agree nor disagree |
105 |
5.4% |
0.054095827 |
5 |
Somewhat disagree |
102 |
5.3% |
0.052550232 |
6 |
Disagree |
640 |
33.0% |
0.329726945 |
7 |
Strongly disagree |
995 |
51.3% |
0.512622360 |
97 |
Not answered |
44 |
2.3% |
0.022668727 |
98 |
Not asked |
8099 |
|
NA |
r21avslutt
Variable label:
|
Open: Feedback about the survey
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Question type: -] [Format:character] [Valid:0] [Invalid:10040]
[Range:-]
|
r21P1
Variable label:
|
Gender
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Male |
5116 |
51.0% |
0.5095618 |
2 |
Female |
4924 |
49.0% |
0.4904382 |
r21P2
Variable label:
|
Region
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Oslo |
1602 |
16.0% |
0.15956175 |
2 |
Østlandet |
3628 |
36.1% |
0.36135458 |
3 |
Sørlandet |
502 |
5.0% |
0.05000000 |
4 |
Vestlandet |
2715 |
27.0% |
0.27041833 |
5 |
Trøndelag |
805 |
8.0% |
0.08017928 |
6 |
Nord-Norge |
788 |
7.8% |
0.07848606 |
r21P3
Variable label:
|
County
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:3-54]
|
Value |
Label |
Cases |
Percentage |
|
3 |
Oslo |
1602 |
16.0% |
0.15956175 |
11 |
Rogaland |
934 |
9.3% |
0.09302789 |
15 |
Møre og Romsdal |
412 |
4.1% |
0.04103586 |
18 |
Nordland |
385 |
3.8% |
0.03834661 |
30 |
Viken |
2348 |
23.4% |
0.23386454 |
34 |
Innlandet |
539 |
5.4% |
0.05368526 |
38 |
Vestfold og Telemark |
741 |
7.4% |
0.07380478 |
42 |
Agder |
502 |
5.0% |
0.05000000 |
46 |
Vestland |
1369 |
13.6% |
0.13635458 |
50 |
Trøndelag |
805 |
8.0% |
0.08017928 |
54 |
Troms og Finnmark |
403 |
4.0% |
0.04013944 |
r21P3_2
Variable label:
|
Constituencies parliament election 2021
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-19]
|
Value |
Label |
Cases |
Percentage |
|
3 |
Østfold |
475 |
4.7% |
0.04731076 |
1 |
Akershus |
1407 |
14.0% |
0.14013944 |
2 |
Oslo |
1602 |
16.0% |
0.15956175 |
5 |
Hedmark |
299 |
3.0% |
0.02978088 |
6 |
Oppland |
240 |
2.4% |
0.02390438 |
7 |
Buskerud |
466 |
4.6% |
0.04641434 |
4 |
Vestfold |
473 |
4.7% |
0.04711155 |
8 |
Telemark |
268 |
2.7% |
0.02669323 |
10 |
Aust-Agder |
178 |
1.8% |
0.01772908 |
9 |
Vest-Agder |
324 |
3.2% |
0.03227092 |
11 |
Rogaland |
934 |
9.3% |
0.09302789 |
12 |
Hordaland |
1209 |
12.0% |
0.12041833 |
13 |
Sogn og Fjordane |
160 |
1.6% |
0.01593625 |
14 |
Møre og Romsdal |
412 |
4.1% |
0.04103586 |
16 |
Sør-Trøndelag |
639 |
6.4% |
0.06364542 |
15 |
Nord-Trøndelag |
166 |
1.7% |
0.01653386 |
17 |
Nordland |
385 |
3.8% |
0.03834661 |
18 |
Troms |
300 |
3.0% |
0.02988048 |
19 |
Finnmark |
103 |
1.0% |
0.01025896 |
r21P4_1
Variable label:
|
Highest completed education
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
No education/elementary school |
470 |
4.7% |
0.04681275 |
2 |
Upper secondary education |
3016 |
30.0% |
0.30039841 |
3 |
University/University college |
6386 |
63.6% |
0.63605578 |
97 |
Not answered |
168 |
1.7% |
0.01673307 |
r21P4_2
Variable label:
|
Highest completed education
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-12]
|
Value |
Label |
Cases |
Percentage |
|
1 |
No completed education |
22 |
0.2% |
0.002191235 |
2 |
Primary and lower secondary school (completed either the first part of
compulsory education (elementary school), primary and lower secondary school,
7-year elementary school, secondary modern school or lower secondary school) |
448 |
4.5% |
0.044621514 |
3 |
Secondary education-general studies/programme for general studies, one-year
supplementary study for university and college admission certification (VK2,
VG3, High School) |
907 |
9.0% |
0.090338645 |
4 |
Secondary education-vocational line of study/education programme (VK2, VK3, VG3,
apprenticeship examination, apprentices’ final exam ) |
1179 |
11.7% |
0.117430279 |
5 |
Diploma from supplementary programme for general university and college
admissions certification (tertiary vocational education, vocational technical
college) |
927 |
9.2% |
0.092330677 |
6 |
University/College, less than 3 years, but at least 2 years (university college
graduate 2 and 2½ years) |
837 |
8.3% |
0.083366534 |
7 |
College-3-4 year education (Bachelor-, cand.mag., teacher training college,
school of nursing, preschool teacher, engineer, business graduate, etc.) |
2121 |
21.1% |
0.211254980 |
8 |
University-3-4 year education (Bachelor, cand.mag.) |
720 |
7.2% |
0.071713147 |
9 |
College-5-6 year education (Master, major) |
742 |
7.4% |
0.073904382 |
10 |
University 5-6 year education (Master, majors (longer professional education
(MA in Theology., MA in Psychology., Doctor of Medicine, Doctor of Veterinary
Medicine, chartered engineer, graduate in architecture, Master of Science in
Business and Economic |
1694 |
16.9% |
0.168725100 |
11 |
Researcher level (Doctorate, Ph.d.) |
272 |
2.7% |
0.027091633 |
12 |
None of the above (please enter): |
134 |
1.3% |
0.013346614 |
97 |
Not answered |
37 |
0.4% |
0.003685259 |
r21P5_1
Variable label:
|
Year of birth
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
1939 or earlier |
261 |
2.6% |
0.02599602 |
2 |
1940-1949 |
1712 |
17.1% |
0.17051793 |
3 |
1950-1959 |
2554 |
25.4% |
0.25438247 |
4 |
1960-1969 |
2251 |
22.4% |
0.22420319 |
5 |
1970-1979 |
1517 |
15.1% |
0.15109562 |
6 |
1980-1989 |
1026 |
10.2% |
0.10219124 |
7 |
1990 or later |
719 |
7.2% |
0.07161355 |
r21P5_2
Variable label:
|
Year of birth
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
1959 or earlier |
4527 |
45.1% |
0.45089641 |
2 |
1960-1989 |
4794 |
47.7% |
0.47749004 |
3 |
1990 or later |
719 |
7.2% |
0.07161355 |
r21Weight1_stratapop
Variable label:
|
Indicates the proportion size of strata in the population. Strata
constructed with P1, P2, and age
|
Technical description:
|
[Can be used for calculating custom weights. Please see documentation
report.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:0-0]
|
r21Weight1
Variable label:
|
Weight based on variables P1, P2, and age. See documentation report.
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:0-6]
|
r21Weight2_stratapop
Variable label:
|
Indicates the proportion size of strata in the population. Strata
constructed with P1, P2, P4_1, and age
|
Technical description:
|
[Can be used for calculating custom weights. Please see documentation
report.]
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:9872] [Invalid:168]
[Range:0-0]
|
r21Weight2
Variable label:
|
Weight based on variables P1, P2, P4_1, and age. See documentation
report.
|
Technical attributes:
|
[Question type: -] [Format:numeric] [Valid:10040] [Invalid:0]
[Range:0-66]
|
r21Weight4
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:10040] [Invalid:0]
[Range:0-5]
|