2026-04-30T18:13:44Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

8ee818c993f47710f652645e4a0c7c77c77224f414194a023d8e2973c552b7d6 2025-06-17T03:14:45Z language:enopenaire_data

DDI study level documentation for study 10.7802/1750 EUvox2014: Voting Advice Application data for the 2014 European Parliament elections EUvox2014: Voting Advice Application data for the 2014 European Parliament elections EUvox2014: Voting Advice Application data for the 2014 European Parliament elections 10.7802/175010.7802/175010.7802/175010.7802/1750 Mendez, Fernando Mendez, Fernando GESIS Data Archive for the Social SciencesGESIS Datenarchiv für Sozialwissenschaften 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 the latter’s programmatic positions or estimates thereof. The dataset available in the present file contains responses of individual users to a number of questions that can be summarised into 6 categories: a) demographics, b) politics-related questions (e.g. vote intention), c) self-placement of users and parties on 3 axes: economic values (Left - Right), social values (Progressive – Cosnervative) and EU-integration (Pro – Against), d) Probability To Vote for competing parties, e) Policy preferences, f) Questions asked following the presentation of the results of the VAA to the user. Additionally encoded and included in the datasets are para- and meta-data, e.g. time and date of completion, web-browser used, response times for questions etc.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 the latter’s programmatic positions or estimates thereof. The dataset available in the present file contains responses of individual users to a number of questions that can be summarised into 6 categories: a) demographics, b) politics-related questions (e.g. vote intention), c) self-placement of users and parties on 3 axes: economic values (Left - Right), social values (Progressive – Cosnervative) and EU-integration (Pro – Against), d) Probability To Vote for competing parties, e) Policy preferences, f) Questions asked following the presentation of the results of the VAA to the user. Additionally encoded and included in the datasets are para- and meta-data, e.g. time and date of completion, web-browser used, response times for questions etc. population with internet access Self selected sampleSelf selected sample Self-administered questionnaire:CAWI(Computer-assisted web interviewing)Self-administered questionnaire:CAWI(Computer-assisted web interviewing) Free access (with registration) - The research data can be downloaded by registered users. CC BY-NC-SA 4.0: Namensnennung - Nicht kommerziell – Weitergabe unter gleichen Bedingungen (http://creativecommons.org/licenses/by-nc-sa/4.0/deed.de)Freier Zugang (mit Registrierung) - Die Forschungsdaten können von allen registrierten Nutzerinnen und Nutzern heruntergeladen werden. CC BY-NC-SA 4.0: Namensnennung - Nicht kommerziell – Weitergabe unter gleichen Bedingungen (http://creativecommons.org/licenses/by-nc-sa/4.0/deed.de) http://dbkapps.gesis.org/dbkoai/oai.asp oai:dbk.gesis.org:SDN/10.7802_1750 2023-03-11 ddi:codebook:2_5