Research data

EUvox2014: Voting Advice Application data for the 2014 European Parliament elections

GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/1750
Abstract: EUvox2014 was a Voting Advice Application (VAA) operating during the pre-electoral period of the 2014 European Parliament elections. VAAs are online platforms developed and published online in periods before elections with the purpose of providing prospective voters with information concerning their proximity to competing political parties, given their policy preferences. Users are able to visit these platforms and, after providing their agreement or disagreement with a number of policy statements, they are provided with measures of proximity to political parties or candidates, on the basis of ... more
Availability: Free access (with registration)
License: CC BY-NC-SA 4.0: Namensnennung - Nicht kommerziell – Weitergabe unter gleichen Bedingungen (http://creativecommons.org/licenses/by-nc-sa/4.0/deed.de)
Subject area: Political Science

Methodology

Date(s) of Data Collection: 2014-05-25;2018-04-24
Universe: population with internet access
Sampling Procedure: Self selected sample
Mode of Data Collection: Self-administered questionnaire:CAWI(Computer-assisted web interviewing)
Notes: Related data on party positions can be found here: Gemenis, K., Mendez, F. and Wheatley, J. (2018). 'Political parties' policy positions for the 2014 elections to the European Parliament". Dataset published by GESIS Datorium (Licences: CC BY-NC 4.0). Available at: http://dx.doi.org/10.7802/1594;

Bibliographic information

Primärforschende, Institution: Mendez, Fernando; University of Zürich
Publication year: 2018
DOI: 10.7802/1750
Study number: SDN-10.7802-1750
Contributor, Institution, Role: Manavopoulos, Vasileios;Cyprus University of Technology;Researcher
Publisher: GESIS, Cologne

Versions

Current Version: 1.0.0, https://doi.org/10.7802/1750

Cite

Mendez, Fernando (2018). EUvox2014: Voting Advice Application data for the 2014 European Parliament elections. GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/1750.

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