Study title

The stacked data matrix (henceforward, SDM) of the 2019 European Election Studies (hereinafter, EES), is a long format data matrix based on the 2019 EES voter study dataset. In this SDM each row represents the (dyadic) relationship between a voter and each relevant party of her party system at 2019 EP elections. The creation of this SDM is part of the research activities of the ProConEU project, an academic research effort analysing the enlarging gaps between proponents and opponents of the European Union (EU) in terms of party politics, citizen politics, and social media communication. The data pipeline and workflow were completed between July 2021 and January 2022 making use of R ≥ 4.1 and are deposited in a online public repository available at https://github.com/giucarny/EESstacked.Most important issue or problem in the country (open); most suitable party to solve this problem (country-specific); satisfaction with democracy; satisfaction with democracy in the EU; satisfaction with government performance; turnout in European Parliament elections; voting behaviour (party preference) in European Parliament elections (country-specific); personal attention to the European election campaign in public media and social media; Voting behaviour in the last federal election (country-specific); likelihood of ever voting for certain parties (country-specific); left-right self-placement; left-right placement of various parties (country-specific); political attitude towards various issues (state regulation and control of the market, redistribution of wealth, same-sex marriage, restriction of the right to privacy, restrictive immigration policy, environmental protection); opinion on the country´s membership in the European Union (preference for continued membership in the EU versus the country leaving the EU); importance of living in a democratically governed country; opinion on the following statements: Independent judges should be able to overrule the decisions of the...