VALU 2019 - SVT exit poll survey European parliament election 2019

SND-ID: SND 1115

This study is part of the collection SVT exit poll surveys

Description Data and documentation

Creator/Principal investigator(s)

Per Näsman - Royal Institute of Technology, Division of Safety Research

Sören Holmberg - University of Gothenburg, Department of Political Science

Henrik Ekengren Oscarsson - University of Gothenburg, Department of Political Science

Kajsa Gudmundson - Sveriges Television

Eva Landahl - Sveriges Television

Description

This exit poll survey was carried out in connection with the survey European parliament election 2019. In VALU - Swedish exit poll surveys - voters leaving polling stations are asked by public service broadcaster Sveriges Television, SVT, to fill in a questionnaire and put it anonymously in a sealed box. After collecting and processing the responses, Sveriges Television is able to present an election forecast and an analysis of the reasons underlying the outcome of the election in it´s Election Night broadcast. The surveys are referred to as VALU, an abbreviation for vallokalsundersökning, Swedish for exit poll survey. The first exit poll survey in Sweden was carried out at the parliamentary election in 1991. Since then similar studies have been carried out in connection with all Parliamentary elections, referendums and elections to the European Parliament.

Purpose:

Provide analytical support for the election night broadcast on Swedish television during the election night, and for other post-election analysis.

Language

English

Swedish

Research principal, contributors, and funding

Research principal

Sveriges Television

Responsible department/unit

Sveriges Television

Commissioning organisation

Sveriges Television

Protection and ethical review
Method

Unit of analysis

Population

Swedish electorate

Time Method

Sampling procedure

Mixed probability and non-probability
In VALU a selection is made of a number of electoral districts and in this way their respective polling station. The number of electoral districts to be selected for VALU is allocated among the different regions according to the size of the electorate. Within each region, the electoral districts are then selected to be included in VALU. This selection is based on the size and geographical location of the electoral district.

Time period(s) investigated

2019

Geographic coverage

Geographic spread

Geographic location: Sweden

Highest geographic unit

Country

Topic and keywords

Research area

Political behaviour and attitudes, Elections, International politics and organisations (CESSDA Topic Classification)
Social Sciences, Political Science (The Swedish standard of fields of research 2011)

Keywords

population migration, exit polls, voting, european union, voting behaviour, election data, european parliament, democracy, political parties, electoral issues, european parliament elections

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Dataset
VALU 2019 - SVT exit poll survey

Version 1.0

Citation

Per Näsman, Sören Holmberg, Henrik Ekengren Oscarsson, Kajsa Gudmundson, Eva Landahl. Sveriges Television (2019). <em>VALU 2019 - SVT exit poll survey</em>. Swedish National Data Service. Version 1.0. <a href="https://doi.org/10.5878/b6zd-8j63">https://doi.org/10.5878/b6zd-8j63</a>

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Data format / data structure

Numeric

Creator/Principal investigator(s)

Per Näsman - Royal Institute of Technology, Division of Safety Research

Sören Holmberg - University of Gothenburg, Department of Political Science

Henrik Ekengren Oscarsson - University of Gothenburg, Department of Political Science

Kajsa Gudmundson - Sveriges Television

Eva Landahl - Sveriges Television

Data collection

  • Mode of collection: Self-administered questionnaire: paper
  • Time period(s) for data collection: 2019-05-08–2019-05-26
  • Data collector: Sveriges Television
  • Instrument: VALU2019EUP (Structured questionnaire)
  • Source of the data: Population group

Variables

56

Number of individuals/objects

9256

Is part of collection at SND

SVT exit poll surveys

Published: 2019-08-23
Last updated: 2020-01-22