Citation
Primary investigators
Name
|
Affiliation
|
Elisabeth Ivarsflaten
|
UiB
|
Bjørn Sætrevik
|
UiB
|
Erla Løvseth
|
UiB
|
Producers
Name
|
Affiliation
|
Role
|
Øivind Skjervheim
|
ideas2evidence
|
Coordinator
|
Olav Bjørnebekk
|
ideas2evidence
|
Project team member
|
Amund Eikrem
|
ideas2evidence
|
Project team member
|
Asle Høgestøl
|
ideas2evidence
|
Quality assurance
|
Study Description
Abstract
The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time 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.uib.no/medborger
Scope
Geographic coverage: National geographic coverage. Counties as geographic coding.
Unit of analysis: Individuals
Univers: Norwegian Citizens above the age of 18.
Methodology
Sampling procedure
Members of the Norwegian Citizen Panel have been recruited in seven waves:
In wave 1, 4 870 panel members were recruited (gross sample: 25 000).
In wave 3, 5 623 members were recruited (gross sample: 25 000).
In wave 8, 4 245 new members were recruited (gross sample: 22 000).
In wave 11, 2 069 panel members were recruited (gross sample: 14 000).
In wave 14, 2 036 panel members were recruited (gross sample: 14 000).
In wave 16, 5 163 panel members were recruited (gross sample: 34 000).
In wave 18, 2 048 panel members were recruited (gross sample: 15 000).
For every wave with recruitment a sample has been randomly drawn from the Norwegian National Population Registry. The size of the gross sample has varied somewhat over time. For more details on recruitment we refer you to the documentation for each respective wave.
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.
NCP Fast Track 2 COVID-19 was sent out to a selection of the panels members whom belonged to certain sub-groups in the first “Fast Track” study (carried out in the spring of 2020). Se documentation for more information.
Mode of Data Collection
The survey is based on a web-based questionnaire.
This survey was sent out as a “Fast Track” study in connection with the corona pandemic in Norway, late summer/fall 2020. For this reason, both the content of the study and the implementation phase are somewhat different from ordinary rounds of the Norwegian Citizens' Panel. This is the second “Fast Track” study dedicated to the topic of the ongoing pandemic.
In NCP Fast Track 2 COVID-19, invitation emails were sent out on August 26th, 2020.
Reminder emails were sent twice, on August 28th and 31st, respectively, to respondents who a) had not logged in to the survey, or b) had not completed the survey.
NCP Fast Track 2 COVID-19 was completed on September 3rd 2020.
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 stratums are listed in the documentation report. When calculating the weights, the information regarding the respondent's geographical location, gender and age are based on registry data. These attributes were included in the sample file we received from the Norwegian Population Register. Information regarding the level of education is provided by the respondents when answering the questionnaire.
Two different weights have been calculated:
-
Weight 1 based on demographic variables (age, gender and geography)
-
Weight 2 combining the demographic variables with education. Respondents with missing data on the education variable are only weighted on demography (the education component of the weight is set to 1 in these cases).
When applied, both weights will provide a weighted N equal to the number of cases in the dataset.
We will strongly recommend using weight 2 in any statistical analysis, as this weight provides the most accurate compensation for the various sources of bias in the net sample.
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
No changes registred.
Dataset contents
File name
|
Norwegian Citizen Panel - Fast Track 2 - COVID-19 v-100.sav
|
# Cases
|
5531
|
# Variables
|
50
|
Variable Documentation
responseid
Variable label:
|
responseid
|
Technical attributes:
|
[Format:character] [Valid:5531] [Invalid:0] [Range:-]
|
ft2interview_start
Variable label:
|
[Date and time of when the respondent first opened the questionnaire. Excel-format.]
|
Technical attributes:
|
[Format:character] [Valid:5531] [Invalid:0] [Range:-]
|
ft2interview_end
Variable label:
|
[Date and time of when the respondent completed the questionnaire. Excel-format.]
|
Technical attributes:
|
[Format:character] [Valid:5417] [Invalid:114] [Range:-]
|
ft2rekruttert
Variable label:
|
[The wave the respondent was recruited. ]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-16]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Round 1 |
834 |
15.1% |
0.15078648 |
3 |
Round 3 |
901 |
16.3% |
0.16290002 |
8 |
Round 8 |
893 |
16.1% |
0.16145363 |
11 |
Round 11 |
531 |
9.6% |
0.09600434 |
14 |
Round 14 |
578 |
10.5% |
0.10450190 |
16 |
Round 16 |
1794 |
32.4% |
0.32435364 |
18 |
Round 18 |
0 |
0% |
0.00000000 |
ft2browsertype
Variable label:
|
[Browsertype used by respondent]
|
Technical attributes:
|
[Format:character] [Valid:5531] [Invalid:0] [Range:-]
|
ft2browserversion
Variable label:
|
[Browser version used by respondent]
|
Technical attributes:
|
[Format:character] [Valid:5531] [Invalid:0] [Range:-]
|
ft2mobil
Variable label:
|
[Determines if the respondents uses mobile ]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:0-1]
|
Value |
Label |
Cases |
Percentage |
|
0 |
Other |
2973 |
53.8% |
0.5375158 |
1 |
Mobile |
2558 |
46.2% |
0.4624842 |
ft2opplosning
Variable label:
|
[Screen resolution of the applied device]
|
Technical attributes:
|
[Format:character] [Valid:5531] [Invalid:0] [Range:-]
|
ft2enhetstype
Variable label:
|
[Determines respondents device type.]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
PC |
3042 |
55% |
0.549990960 |
2 |
Touch |
2472 |
44.7% |
0.446935455 |
3 |
Generic |
17 |
0.3% |
0.003073585 |
ft2advancedwifeaturesenabled
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 attributes:
|
[Format:character] [Valid:5531] [Invalid:0] [Range:-]
|
ft2getrenderingmode
Variable label:
|
[Detects the browsers rendering mode]
|
Technical attributes:
|
[Format:character] [Valid:5531] [Invalid:0] [Range:-]
|
ft2covid1_1
Variable label:
|
Assesment of risk: you will become infected by the coronavirus (in 2020)
|
Pre-question text:
|
How high do you consider the risk that during 2020…
|
Literal question:
|
… you will become infected by the coronavirus?
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very low |
1375 |
24.9% |
0.248598807 |
2 |
Somewhat low |
2279 |
41.2% |
0.412041222 |
3 |
Medium |
1557 |
28.2% |
0.281504249 |
4 |
Somewhat high |
262 |
4.7% |
0.047369373 |
5 |
Very high |
40 |
0.7% |
0.007231965 |
97 |
Not answered |
18 |
0.3% |
0.003254384 |
ft2covid1_2
Variable label:
|
Assesment of risk: an average adult in Norway will become infected (in 2020)
|
Pre-question text:
|
How high do you consider the risk that during 2020…
|
Literal question:
|
… an average adult in Norway will become infected?
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very low |
577 |
10.4% |
0.10432110 |
2 |
Somewhat low |
2149 |
38.9% |
0.38853734 |
3 |
Medium |
2226 |
40.2% |
0.40245887 |
4 |
Somewhat high |
412 |
7.4% |
0.07448924 |
5 |
Very high |
100 |
1.8% |
0.01807991 |
97 |
Not answered |
67 |
1.2% |
0.01211354 |
ft2covid1_3
Variable label:
|
Assesment of risk: you will become seriously ill (in 2020)
|
Pre-question text:
|
How high do you consider the risk that during 2020…
|
Literal question:
|
… you will become seriously ill?
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very low |
2000 |
36.2% |
0.36159826 |
2 |
Somewhat low |
2055 |
37.2% |
0.37154222 |
3 |
Medium |
993 |
18% |
0.17953354 |
4 |
Somewhat high |
340 |
6.1% |
0.06147170 |
5 |
Very high |
68 |
1.2% |
0.01229434 |
97 |
Not answered |
75 |
1.4% |
0.01355993 |
ft2covid1_4
Variable label:
|
Assesment of risk: your everyday life will change a lot from the way it is today (in 2020)
|
Pre-question text:
|
How high do you consider the risk that during 2020…
|
Literal question:
|
… your everyday life will change a lot from the way it is today?
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Very low |
1088 |
19.7% |
0.19670946 |
2 |
Somewhat low |
1876 |
33.9% |
0.33917917 |
3 |
Medium |
1644 |
29.7% |
0.29723377 |
4 |
Somewhat high |
721 |
13% |
0.13035617 |
5 |
Very high |
137 |
2.5% |
0.02476948 |
97 |
Not answered |
65 |
1.2% |
0.01175194 |
ft2covid2
Variable label:
|
Have you been abroad during the last three months?
|
Literal question:
|
Have you been abroad during the last three months?
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Yes |
567 |
10.3% |
0.102513108 |
2 |
No |
4957 |
89.6% |
0.896221298 |
97 |
Not answered |
7 |
0.1% |
0.001265594 |
ft2covid3
Variable label:
|
Did you stay at home for 10 days after your trip?
|
Literal question:
|
Did you stay at home for 10 days after your trip?
|
Technical description:
|
[Asked if ft2covid2 = 1]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
I was in a red list country and complied with the quarantine regulations |
99 |
17.5% |
0.174603175 |
2 |
I was in a red list country and did not comply with the quarantine regulations |
3 |
0.5% |
0.005291005 |
3 |
I was in a green or yellow list country and did not self-isolate |
423 |
74.6% |
0.746031746 |
4 |
I was in a green or yellow list country, but nevertheless decided to self-
isolate |
34 |
6% |
0.059964727 |
97 |
Not answered |
8 |
1.4% |
0.014109347 |
98 |
Not asked |
4964 |
|
NA |
ft2covid4_1
Variable label:
|
The last two weeks I have: been close to others in connection with work/school
|
Pre-question text:
|
The last two weeks I have…
|
Literal question:
|
been close to others in connection with work, school, or studies (for example in public transport to work/school, customer contact, open-plan office, lunch room, classroom, reading room)
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Several times a day |
888 |
16.1% |
0.160549629 |
2 |
Daily |
962 |
17.4% |
0.173928765 |
3 |
Less than daily |
1079 |
19.5% |
0.195082264 |
4 |
Almost never |
1260 |
22.8% |
0.227806907 |
5 |
Never |
1306 |
23.6% |
0.236123667 |
97 |
Not answered |
36 |
0.7% |
0.006508769 |
ft2covid4_2
Variable label:
|
The last two weeks I have: been close to others during leisure time
|
Pre-question text:
|
The last two weeks I have…
|
Literal question:
|
been close to others during leisure time (such as buying groceries, other shops, restaurants or pubs, visiting the doctor, dentist, hairdresser or similar)
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Several times a day |
157 |
2.8% |
0.028385464 |
2 |
Daily |
965 |
17.4% |
0.174471163 |
3 |
Less than daily |
3315 |
59.9% |
0.599349123 |
4 |
Almost never |
973 |
17.6% |
0.175917556 |
5 |
Never |
104 |
1.9% |
0.018803110 |
97 |
Not answered |
17 |
0.3% |
0.003073585 |
ft2covid4_3
Variable label:
|
The last two weeks I have: generally been in situations that expose me to infection
|
Pre-question text:
|
The last two weeks I have…
|
Literal question:
|
generally been in situations that expose me to infection
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Several times a day |
313 |
5.7% |
0.056590128 |
2 |
Daily |
979 |
17.7% |
0.177002350 |
3 |
Less than daily |
2002 |
36.2% |
0.361959863 |
4 |
Almost never |
1922 |
34.7% |
0.347495932 |
5 |
Never |
271 |
4.9% |
0.048996565 |
97 |
Not answered |
44 |
0.8% |
0.007955162 |
ft2covid5_1
Variable label:
|
The last two weeks I have: washed my hands every time I have been out
|
Pre-question text:
|
The last two weeks I have…
|
Literal question:
|
washed my hands every time I have been out
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Always |
3624 |
65.5% |
0.655216055 |
2 |
Often |
1619 |
29.3% |
0.292713795 |
3 |
Sometimes |
221 |
4% |
0.039956608 |
4 |
Rarely |
43 |
0.8% |
0.007774363 |
5 |
Never |
6 |
0.1% |
0.001084795 |
97 |
Not answered |
18 |
0.3% |
0.003254384 |
ft2covid5_2
Variable label:
|
The last two weeks I have: kept a distance of 1 metre from all strangers
|
Pre-question text:
|
The last two weeks I have…
|
Literal question:
|
kept a distance of 1 metre from all strangers
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Always |
1896 |
34.3% |
0.342795155 |
2 |
Often |
3386 |
61.2% |
0.612185862 |
3 |
Sometimes |
178 |
3.2% |
0.032182246 |
4 |
Rarely |
53 |
1% |
0.009582354 |
5 |
Never |
0 |
0% |
0.000000000 |
97 |
Not answered |
18 |
0.3% |
0.003254384 |
ft2covid5_3
Variable label:
|
The last two weeks I have: avoided all social situations with strangers
|
Pre-question text:
|
The last two weeks I have…
|
Literal question:
|
avoided all social situations with strangers
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Always |
1669 |
30.2% |
0.301753752 |
2 |
Often |
2559 |
46.3% |
0.462664979 |
3 |
Sometimes |
803 |
14.5% |
0.145181703 |
4 |
Rarely |
377 |
6.8% |
0.068161273 |
5 |
Never |
101 |
1.8% |
0.018260712 |
97 |
Not answered |
22 |
0.4% |
0.003977581 |
ft2covid6_1
Variable label:
|
Dealing with stress: When a stressful situation does not improve, I try to think of other ways of dealing with it
|
Pre-question text:
|
To what extent do the following statements apply to how you deal with stress?
|
Literal question:
|
When a stressful situation does not improve, I try to think of other ways of dealing with it
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Applies very well |
1191 |
21.5% |
0.21533177 |
2 |
Applies |
2539 |
45.9% |
0.45904900 |
3 |
Partly applies |
1427 |
25.8% |
0.25800036 |
4 |
Does not apply |
283 |
5.1% |
0.05116615 |
97 |
Not answered |
91 |
1.6% |
0.01645272 |
ft2covid6_2
Variable label:
|
Dealing with stress: I have a few fixed methods for dealing with stress
|
Pre-question text:
|
To what extent do the following statements apply to how you deal with stress?
|
Literal question:
|
I have a few fixed methods for dealing with stress
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Applies very well |
513 |
9.3% |
0.09274995 |
2 |
Applies |
1981 |
35.8% |
0.35816308 |
3 |
Partly applies |
2146 |
38.8% |
0.38799494 |
4 |
Does not apply |
789 |
14.3% |
0.14265052 |
97 |
Not answered |
102 |
1.8% |
0.01844151 |
ft2covid6_3
Variable label:
|
Dealing with stress: When I am stressed, I use different approaches for dealing with and improving the situation
|
Pre-question text:
|
To what extent do the following statements apply to how you deal with stress?
|
Literal question:
|
When I am stressed, I use different approaches for dealing with and improving the situation
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Applies very well |
654 |
11.8% |
0.11824263 |
2 |
Applies |
2407 |
43.5% |
0.43518351 |
3 |
Partly applies |
1955 |
35.3% |
0.35346230 |
4 |
Does not apply |
390 |
7.1% |
0.07051166 |
97 |
Not answered |
125 |
2.3% |
0.02259989 |
ft2covid6_4
Variable label:
|
Dealing with stress: When I have not dealt well with a stressful situation, I find other ways of dealing with it
|
Pre-question text:
|
To what extent do the following statements apply to how you deal with stress?
|
Literal question:
|
When I have not dealt well with a stressful situation, I find other ways of dealing with it
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Applies very well |
594 |
10.7% |
0.10739468 |
2 |
Applies |
2334 |
42.2% |
0.42198517 |
3 |
Partly applies |
2034 |
36.8% |
0.36774543 |
4 |
Does not apply |
438 |
7.9% |
0.07919002 |
97 |
Not answered |
131 |
2.4% |
0.02368469 |
ft2covid6_5
Variable label:
|
Dealing with stress: If a stressful situation does not improve, I find other ways of dealing with it
|
Pre-question text:
|
To what extent do the following statements apply to how you deal with stress?
|
Literal question:
|
If a stressful situation does not improve, I find other ways of dealing with it
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Applies very well |
696 |
12.6% |
0.12583620 |
2 |
Applies |
2589 |
46.8% |
0.46808895 |
3 |
Partly applies |
1802 |
32.6% |
0.32580004 |
4 |
Does not apply |
313 |
5.7% |
0.05659013 |
97 |
Not answered |
131 |
2.4% |
0.02368469 |
ft2covid6_6
Variable label:
|
Dealing with stress: I am aware of how successful or unsuccessful my attempts at dealing with stress have been
|
Pre-question text:
|
To what extent do the following statements apply to how you deal with stress?
|
Literal question:
|
I am aware of how successful or unsuccessful my attempts at dealing with stress have been
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Applies very well |
850 |
15.4% |
0.15367926 |
2 |
Applies |
2720 |
49.2% |
0.49177364 |
3 |
Partly applies |
1468 |
26.5% |
0.26541313 |
4 |
Does not apply |
346 |
6.3% |
0.06255650 |
97 |
Not answered |
147 |
2.7% |
0.02657747 |
ft2covid6_7
Variable label:
|
Dealing with stress: I do not notice it when I have not dealt well with stress
|
Pre-question text:
|
To what extent do the following statements apply to how you deal with stress?
|
Literal question:
|
I do not notice it when I have not dealt well with stress
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Applies very well |
177 |
3.2% |
0.03200145 |
2 |
Applies |
783 |
14.2% |
0.14156572 |
3 |
Partly applies |
1949 |
35.2% |
0.35237751 |
4 |
Does not apply |
2471 |
44.7% |
0.44675466 |
97 |
Not answered |
151 |
2.7% |
0.02730067 |
ft2covid6_8
Variable label:
|
Dealing with stress: If I feel that I have not been able to deal with stress, I change the way in which I deal with it
|
Pre-question text:
|
To what extent do the following statements apply to how you deal with stress?
|
Literal question:
|
If I feel that I have not been able to deal with stress, I change the way in which I deal with it
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Applies very well |
374 |
6.8% |
0.06761888 |
2 |
Applies |
1877 |
33.9% |
0.33935997 |
3 |
Partly applies |
2505 |
45.3% |
0.45290183 |
4 |
Does not apply |
593 |
10.7% |
0.10721389 |
97 |
Not answered |
182 |
3.3% |
0.03290544 |
ft2covid6_9
Variable label:
|
Dealing with stress: When I have experienced something stressful, I think about how well my way of dealing with it worked or did not work
|
Pre-question text:
|
To what extent do the following statements apply to how you deal with stress?
|
Literal question:
|
When I have experienced something stressful, I think about how well my way of dealing with it worked or did not work
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Applies very well |
502 |
9.1% |
0.09076116 |
2 |
Applies |
1930 |
34.9% |
0.34894233 |
3 |
Partly applies |
2177 |
39.4% |
0.39359971 |
4 |
Does not apply |
766 |
13.8% |
0.13849214 |
97 |
Not answered |
156 |
2.8% |
0.02820466 |
ft2covid6_10
Variable label:
|
Dealing with stress: If I have not been able to deal with stress, I think about other ways of dealing with it
|
Pre-question text:
|
To what extent do the following statements apply to how you deal with stress?
|
Literal question:
|
If I have not been able to deal with stress, I think about other ways of dealing with it
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Applies very well |
522 |
9.4% |
0.09437715 |
2 |
Applies |
2319 |
41.9% |
0.41927319 |
3 |
Partly applies |
2005 |
36.3% |
0.36250226 |
4 |
Does not apply |
503 |
9.1% |
0.09094196 |
97 |
Not answered |
182 |
3.3% |
0.03290544 |
ft2covid7_ran
Variable label:
|
[Experiment. Randomly selects among alternatives for ft2covid7]
|
Technical description:
|
[Experiment. Randomly selects among alternatives for ft2covid7]
|
Technical attributes:
|
[Format:numeric] [Valid:5481] [Invalid:50] [Range:1-4]
|
Value |
Label |
Cases |
Percentage |
|
1 |
The vaccine provides effective protection against the disease and will help
you to stay healthy. Therefore, it is an advantage if individuals like you are
vaccinated. |
1346 |
24.6% |
0.2455756 |
2 |
The vaccine provides effective protection against the disease and will help you
to stay healthy. Therefore, it is important that as many people as possible are
vaccinated. |
1347 |
24.6% |
0.2457581 |
3 |
Some people will be unable to take the vaccine for medical reasons, and in
order to prevent them from being infected, as many other people as possible
must take the vaccine. Therefore, it is an advantage if individuals like you are
vaccinated. |
1379 |
25.2% |
0.2515964 |
4 |
Some people will be unable to take the vaccine for medical reasons, and in order
to prevent them from being infected, as many other people as possible must take
the vaccine. Therefore, it is important that as many people as possible are
vaccinated. |
1409 |
25.7% |
0.2570699 |
Sysmiss |
|
50 |
|
NA |
ft2covid7
Variable label:
|
Would take a vaccine against Covid-19 som have not been tested for long-term side effects?
|
Pre-question text:
|
Imagine that a vaccine against Covid-19 has been developed that has not been tested for its long-term side effects.
[ft2covid7_ran]
|
Literal question:
|
Would you take such a vaccine if you were offered it?
|
Technical description:
|
[Experiment. The wording of the question depends on randomized values in ft2covid7_ran]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
I would definitely have taken the vaccine |
907 |
16.4% |
0.163984813 |
2 |
I would probably have taken the vaccine |
1787 |
32.3% |
0.323088049 |
3 |
I'm not sure if I would have taken the vaccine |
1695 |
30.6% |
0.306454529 |
4 |
I would probably not have taken the vaccine |
698 |
12.6% |
0.126197794 |
5 |
I would definitely not have taken the vaccine |
391 |
7.1% |
0.070692461 |
97 |
Not answered |
53 |
1% |
0.009582354 |
ft2covid8_1
Variable label:
|
Statement: I worry that I will get infected by the coronavirus
|
Pre-question text:
|
To what extent do you agree or disagree with the following statements:
|
Literal question:
|
I worry that I will get infected by the coronavirus.
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Completely disagree |
696 |
12.6% |
0.12583620 |
2 |
Disagree |
1679 |
30.4% |
0.30356174 |
3 |
Neither agree nor disagree |
1481 |
26.8% |
0.26776351 |
4 |
Agree |
1380 |
25% |
0.24950280 |
5 |
Completely agree |
232 |
4.2% |
0.04194540 |
97 |
Not answered |
63 |
1.1% |
0.01139035 |
ft2covid8_2
Variable label:
|
Statement: I worry that someone in my family will get infected by the coronavirus
|
Pre-question text:
|
To what extent do you agree or disagree with the following statements:
|
Literal question:
|
I worry that someone in my family will get infected by the coronavirus.
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Completely disagree |
297 |
5.4% |
0.05369734 |
2 |
Disagree |
886 |
16% |
0.16018803 |
3 |
Neither agree nor disagree |
1056 |
19.1% |
0.19092388 |
4 |
Agree |
2348 |
42.5% |
0.42451636 |
5 |
Completely agree |
881 |
15.9% |
0.15928404 |
97 |
Not answered |
63 |
1.1% |
0.01139035 |
ft2covid9
Variable label:
|
Statement: I am optimistic that I will deal with the challenges that I will face due to the coronavirus outbreak
|
Pre-question text:
|
To what extent do you agree or disagree with the following statement:
|
Literal question:
|
I am optimistic that I will deal with the challenges that I will face due to the coronavirus outbreak.
|
Technical description:
|
[All respondents asked]
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Completely disagree |
103 |
1.9% |
0.01862231 |
2 |
Disagree |
153 |
2.8% |
0.02766227 |
3 |
Neither agree nor disagree |
936 |
16.9% |
0.16922799 |
4 |
Agree |
3269 |
59.1% |
0.59103236 |
5 |
Completely agree |
1001 |
18.1% |
0.18097993 |
97 |
Not answered |
69 |
1.2% |
0.01247514 |
ft2covid10
Variable label:
|
Statement: Being infected by the virus would be very serious for me
|
Pre-question text:
|
To what extent do you agree or disagree with the following statement:
|
Literal question:
|
Being infected by the virus would be very serious for me.
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Completely disagree |
315 |
5.7% |
0.05695173 |
2 |
Disagree |
1124 |
20.3% |
0.20321822 |
3 |
Neither agree nor disagree |
1837 |
33.2% |
0.33212801 |
4 |
Agree |
1448 |
26.2% |
0.26179714 |
5 |
Completely agree |
695 |
12.6% |
0.12565540 |
97 |
Not answered |
112 |
2% |
0.02024950 |
ft2covid11
Variable label:
|
Statement: I 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 hands frequently, avoid travel and situations involving contact with other people, keep distance and avoid touching things).
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-5]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Completely disagree |
119 |
2.2% |
0.021515097 |
2 |
Disagree |
30 |
0.5% |
0.005423974 |
3 |
Neither agree nor disagree |
177 |
3.2% |
0.032001446 |
4 |
Agree |
2335 |
42.2% |
0.422165974 |
5 |
Completely agree |
2794 |
50.5% |
0.505152775 |
97 |
Not answered |
76 |
1.4% |
0.013740734 |
ft2avslutt
Variable label:
|
Feedback about the survey
|
Literal question:
|
Thank you for your participation in The Norwegian Citizen Panel! The answers you have provided today can contribute to imporantant knowledge that our society need to handle the Corona pandemic. We are greatful for your efforts. Your data will as always be treated confidentially.
The winners of the 5000 NOK gift cards will be contacted shortly after the survey has been closed.
Is there anything you wish to give feedback on in connection with the survey? If so you may write it here. If you have any questions about your participation, privacy policy and such, contact us at medborger@uib.no
|
Technical attributes:
|
[Format:integer] [Valid:0] [Invalid:5531] [Range:-]
|
ft2P1
Variable label:
|
Gender
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-2]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Male |
2704 |
48.9% |
0.4888809 |
2 |
Female |
2827 |
51.1% |
0.5111191 |
ft2P2
Variable label:
|
Region
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-6]
|
Value |
Label |
Cases |
Percentage |
|
1 |
Oslo |
867 |
15.7% |
0.15675285 |
2 |
Østlandet |
2015 |
36.4% |
0.36431025 |
3 |
Sørlandet |
302 |
5.5% |
0.05460134 |
4 |
Vestlandet |
1466 |
26.5% |
0.26505153 |
5 |
Trøndelag |
471 |
8.5% |
0.08515639 |
6 |
Nord-Norge |
410 |
7.4% |
0.07412764 |
ft2P3
Variable label:
|
County
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:3-54]
|
Value |
Label |
Cases |
Percentage |
|
3 |
Oslo |
867 |
15.7% |
0.15675285 |
11 |
Rogaland |
497 |
9% |
0.08985717 |
15 |
Møre og Romsdal |
204 |
3.7% |
0.03688302 |
18 |
Nordland |
195 |
3.5% |
0.03525583 |
30 |
Viken |
1308 |
23.6% |
0.23648526 |
34 |
Innlandet |
283 |
5.1% |
0.05116615 |
38 |
Vestfold og Telemark |
424 |
7.7% |
0.07665883 |
42 |
Agder |
302 |
5.5% |
0.05460134 |
46 |
Vestland |
765 |
13.8% |
0.13831134 |
50 |
Trøndelag |
471 |
8.5% |
0.08515639 |
54 |
Troms og Finnmark |
215 |
3.9% |
0.03887181 |
ft2P4_1
Variable label:
|
Highest completed education
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
No education/elementary school |
262 |
4.7% |
0.04736937 |
2 |
Upper secondary education |
1675 |
30.3% |
0.30283855 |
3 |
University/University college |
3479 |
62.9% |
0.62900018 |
97 |
Not answered |
115 |
2.1% |
0.02079190 |
ft2P4_2
Variable label:
|
Highest completed education
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-12]
|
Value |
Label |
Cases |
Percentage |
|
1 |
No completed education |
5 |
0.1% |
0.0009039957 |
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) |
257 |
4.6% |
0.0464653770 |
3 |
Secondary education-general studies/programme for general studies, one-year
supplementary study for university and college admission certification (VK2,
VG3, High School) |
487 |
8.8% |
0.0880491774 |
4 |
Secondary education-vocational line of study/education programme (VK2, VK3, VG3,
apprenticeship examination, apprentices’ final exam ) |
673 |
12.2% |
0.1216778159 |
5 |
Diploma from supplementary programme for general university and college
admissions certification (tertiary vocational education, vocational technical
college) |
514 |
9.3% |
0.0929307539 |
6 |
University/College, less than 3 years, but at least 2 years (university college
graduate 2 and 2½ years) |
454 |
8.2% |
0.0820828060 |
7 |
College-3-4 year education (Bachelor-, cand.mag., teacher training college,
school of nursing, preschool teacher, engineer, business graduate, etc.) |
1226 |
22.2% |
0.2216597360 |
8 |
University-3-4 year education (Bachelor, cand.mag.) |
379 |
6.9% |
0.0685228711 |
9 |
College-5-6 year education (Master, major) |
372 |
6.7% |
0.0672572772 |
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 |
900 |
16.3% |
0.1627192189 |
11 |
Researcher level (Doctorate, Ph.d.) |
148 |
2.7% |
0.0267582716 |
12 |
None of the above (please enter): |
65 |
1.2% |
0.0117519436 |
97 |
Not answered |
51 |
0.9% |
0.0092207557 |
ft2P5_1
Variable label:
|
Year of birth
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-7]
|
Value |
Label |
Cases |
Percentage |
|
1 |
1939 or earlier |
137 |
2.5% |
0.02476948 |
2 |
1940-1949 |
980 |
17.7% |
0.17718315 |
3 |
1950-1959 |
1391 |
25.1% |
0.25149159 |
4 |
1960-1969 |
1240 |
22.4% |
0.22419092 |
5 |
1970-1979 |
842 |
15.2% |
0.15223287 |
6 |
1980-1989 |
560 |
10.1% |
0.10124751 |
7 |
1990 or later |
381 |
6.9% |
0.06888447 |
ft2P5_2
Variable label:
|
Year of birth
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:1-3]
|
Value |
Label |
Cases |
Percentage |
|
1 |
1959 or earlier |
2508 |
45.3% |
0.45344422 |
2 |
1960-1989 |
2642 |
47.8% |
0.47767131 |
3 |
1990 or later |
381 |
6.9% |
0.06888447 |
ft2Weight1
Variable label:
|
Weight based on variables P2, P5_2, and P1. See documentation report.
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:0-6]
|
ft2Weight2
Variable label:
|
Weight based on variables P2, P5_2, P4, and P1. See documentation report.
|
Technical attributes:
|
[Format:numeric] [Valid:5531] [Invalid:0] [Range:0-44]
|