COVID-19 and Social Inequality - April 2020

To develop a better understanding how people in Germany handle the social and political consequences of the Corona (COVID-19) crisis, the Cluster of Excellence "The Politics of Inequality" has installed a surveys program with the participation of researchers from several different departments and disciplines at the University of Konstanz (Sociology, Political Science, Economics and Psychology). The surveys focus on the social and political consequences of the Corona crisis and cover multiple topics, such as the perceived individual and social consequences of the pandemic and the measures taken to contain it, trust in health and social policy and the welfare state, support for government aid given to businesses, gender inequalities, questions of solidarity within the EU, opinions on the "Corona app", on debates on loosening the emergency measures, and on perceived infection risks in the working place. The survey program took the form of several online surveys conducted in 2020. This dataset is the survey that took place in April 2020. The other survey and the second wave of this survey can also be found in the GESIS repository (https://doi.org/10.7802/2118 , https://doi.org/10.7802/2334).

Non-probability Sample - Quota Sample

Web-based interviewInterview.WebBased

Webbasiertes InterviewInterview.WebBased

Identifier
Source https://search.gesis.org/research_data/SDN-10.7802-2116?lang=de
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=00e32c4ad6ab21e6ed2320b0a81e4a32b7f776f0dcf030e8bea51c119e154482
Provenance
Creator Busemeyer, Marius R.; Diehl, Claudia; Bellani, Luna; Koos, Sebastian; Schmelz, Katrin; Selb, Peter; Hinz, Thomas
Publisher GESIS Data Archive for the Social Sciences; GESIS Datenarchiv für Sozialwissenschaften
Publication Year 2020
Funding Reference [Funded by the Deutsche Forschungsgemeinschaft (DFG – German Research Foundation) under Germany‘s Excellence Strategy – EXC-2035/1 – 390681379]
Rights Free access (without registration) - The research data can be downloaded directly by anyone without further limitations. CC BY-SA 4.0: Attribution – ShareAlike (https://creativecommons.org/licenses/by-sa/4.0/deed.de); Freier Zugang (ohne Registrierung) - Die Forschungsdaten können von jedem direkt heruntergeladen werden. CC BY-SA 4.0: Attribution – ShareAlike (https://creativecommons.org/licenses/by-sa/4.0/deed.de)
OpenAccess true
Contact http://www.gesis.org/
Representation
Language English; German
Discipline Social Sciences
Spatial Coverage Germany; Germany