Swedish Party Membership Survey 2015, prepared dataset
Documentation files
Documentation files
Citation and access
Citation and access
Data access level:
Creator/Principal investigator(s):
Research principal:
Data contains personal data:
Yes
Type of personal data:
Pseudonymised data containing political views. Some respondents may be under risk of reidentification when data is combined with other preserved datasets.
Sensitive personal data:
Yes
Citation:
Method and outcome
Method and outcome
Unit of analysis:
Population:
Registered party members
Time method:
Sampling procedure:
Description of sampling:
In May 2015, the party secretaries of each party distributed a personal link to their members. The link went to an otherwise identical survey. All parties except for the Social Democrats sent the survey to all their registered members. The Social Democrats instead sent the survey to a large, random sample of their members. The gross sample size is 105,632 party members (Fp/L = 11,807; Mp = 18,772; S = 7,500; V =16,009; KD = 9,797; M =20,007; Fi = 22,240)
Time period(s) investigated:
Variables:
392
Number of individuals/objects:
10392
Data collection - Self-administered questionnaire: Web-based (CAWI)
Data collection - Self-administered questionnaire: Web-based (CAWI)
Mode of collection:
Self-administered questionnaire: Web-based (CAWI)
Time period(s) for data collection:
2015-05-01 - 2015-07-03
Data collector:
- University of Gothenburg
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Number of responses:
10392
Source of the data:
- Population group
Geographic coverage
Geographic coverage
Geographic location:
Geographic description:
The survey covered the entire country of Sweden.
Lowest geographic unit:
Constituency
Highest geographic unit:
Country
Administrative information
Administrative information
Responsible department/unit:
Department of Political Science
Funding
Funding
Funding agency:
- Ministry of Justice
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Award title:
Partimedlemmar i Sverige / Party Members in Sweden
Funding information:
Performed as a part of the 2014 Royal Commission of Democracy (Ju 2014:19)
Topic and keywords
Topic and keywords
CESSDA Topic Classification:
Standard för svensk indelning av forskningsämnen 2025:
Relations
Relations
Is variant form of:
Related research data:
Publications
Publications
Citation:
Metadata
Metadata
