Swedish National Election Study 2018 - CSES Edition

SND-ID: 2020-159

This study is part of the collection Swedish National Election Studies (SNES)

Description Data and documentation

Creator/Principal investigator(s)

Henrik Oscarsson - (PI) University of Gothenburg, Swedish National Election Studies, Department of Political Science orcid

Dennis Andersson - University of Gothenburg, Swedish National Election Studies, Department of Political Science

Per Hedberg - University of Gothenburg, Swedish National Election Studies, Department of Political Science

Richard Svensson - University of Gothenburg, Swedish National Election Studies, Department of Political Science orcid

Description

The National Election Survey 2018 was conducted in a collaboration between the Department of Political Science of University of Gothenburg and Statistics Sweden (SCB). This collaboration has covered all of the parliamentary elections, referendums and elections to the European Parliament since 1956. The Department of Political Science is responsible for the questionnaires, processing of data, coding and analyses. SCB is responsible for sampling and fieldwork.

Swedish National Election Studies participates in a wider international cooperation: Comparative Study of Electoral Systems (CSES). The cooperation means, among other things, that the same interview questions are asked not only in Sweden, but also in several other countries around the world. The Swedish National Election Studies participate in the CSES collaboration for the fifth time in connection to the election 2018.

Previously, the CSES questionnaires have been included in the Election Surveys' comprehensive post-election surveys. In connection to the election 2018 a new design was introduced. For the first time, a separate sample

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Language

English

Swedish

Research principal, contributors, and funding

Research principal

University of Gothenburg

Funding 1

  • Funding agency: Swedish Research Council

Funding 2

  • Funding agency: Riksbankens Jubileumsfond
Protection and ethical review

Data contains personal data

No

Ethics Review

Gothenburg - Ref. 1156-16

Method

Unit of analysis

Population

Swedish citizens, 18 to 80 years of age, living in Sweden

Sampling procedure

Probability: Simple random

Time period(s) investigated

2018-09-10–2018-11-06

Geographic coverage

Geographic spread

Geographic location: Sweden

Lowest geographic unit

Municipality

Highest geographic unit

Country

Publications
Dataset
The Swedish National Election Study 2018 - CSES Edition

Version 1

Citation

Dennis Andersson, Per Hedberg, Richard Svensson, Henrik Oscarsson. University of Gothenburg, Swedish National Election Studies, Department of Political Science (2021). <em>The Swedish National Election Study 2018 - CSES Edition</em>. Swedish National Data Service. Version 1. <a href="https://doi.org/10.5878/p9eq-2883">https://doi.org/10.5878/p9eq-2883</a>

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Data format / data structure

Numeric

Text

Creator/Principal investigator(s)

Dennis Andersson - University of Gothenburg, Swedish National Election Studies, Department of Political Science

Per Hedberg - University of Gothenburg, Swedish National Election Studies, Department of Political Science

Richard Svensson - University of Gothenburg, Swedish National Election Studies, Department of Political Science orcid

Henrik Oscarsson - (PI) University of Gothenburg, Swedish National Election Studies, Department of Political Science orcid

Time period(s) investigated

2018-09-10–2018-11-06

Data collection 1

  • Mode of collection: Self-administered questionnaire: web based
  • Time period(s) for data collection: 2018-09-10–2018-10-06
  • Data collector: Swedish National Election Studies
  • Source of the data: Population group

Data collection 2

  • Mode of collection: Self-administered questionnaire: paper
  • Time period(s) for data collection: 2018-09-10–2018-11-06
  • Data collector: Statistics Sweden
  • Source of the data: Population group

Variables

201

Number of individuals/objects

8000

Response rate/participation rate

47.3

Published: 2021-03-09
Last updated: 2021-03-09