euandi2019 : project description and datasets documentation
Title: euandi2019 : project description and datasets documentation
Author: MICHEL, Elie; CICCHI, Lorenzo ; GARZIA, Diego; FERREIRA DA SILVA, Frederico; TRECHSEL, Alexander H.
Publisher: European University Institute
Series/Number: EUI RSCAS; 2019/61
In occasion of the European Parliament elections of 2019, the EUI in collaboration with the University of Lucerne in Switzerland launched euandi2019 (reads: EU and I). The academic relevance of the euandi2019 endeavour lies primarily in its choice to stick to the party positioning methodology already employed by the EU Profiler in 2009 and by euandi2014, as well as in the choice to keep as many policy items as possible in the 2019 questionnaire in order to allow cross-national, longitudinal research on party competition and voting behaviour in the EU across a ten-year period. In this paper, we present the euandi2019 project in a nutshell, the making of the questionnaire and the way in which political parties have been coded. Then, we illustrate the functioning of the application and the specifics of the resulting user dataset, comprising the opinions of over 1.2 million users that completed the euandi2019 questionnaire during the four weeks preceding the EP elections.
Subject: European elections; Party placement; Voting advice applications
Type of Access: openAccess