2026-04-17T04:10:06Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

a5b8947fab515e6ba8e8012bd1001f39eaa14cd1ecc56fd23b80ca3af23346c8 2025-06-17T03:15:16Z language:enopenaire_data

DDI study level documentation for study 10.7802/2118 COVID-19 and Social Inequality - B (Welle 1) COVID-19 and Social Inequality - B (Welle 1) COVID-19 and Social Inequality - B (Welle 1) 10.7802/211810.7802/211810.7802/211810.7802/2118 Busemeyer, Marius R. Busemeyer, Marius R. Diehl, Claudia Diehl, Claudia Bellani, Luna Bellani, Luna Koos, Sebastian Koos, Sebastian Schmelz, Katrin Schmelz, Katrin Selb, Peter Selb, Peter Hinz, Thomas Hinz, Thomas [Funded by the Deutsche Forschungsgemeinschaft (DFG – German Research Foundation) under Germany‘s Excellence Strategy – EXC-2035/1 – 390681379] GESIS Data Archive for the Social SciencesGESIS Datenarchiv für Sozialwissenschaften COVID-19Wirtschaftinequalityhealth policyconfidencegender relationsjobsolidarityCOVID-19Wirtschaftinequalityhealth policyconfidencegender relationsjobsolidarity To develop a better understanding how people in Germany handle the social and political consequences of the Corona 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 May 2020. The other survey can also be found in the GESIS repository (https://doi.org/10.7802/2116). The second wave of this study is available at https://doi.org/10.7802/2335 .To develop a better understanding how people in Germany handle the social and political consequences of the Corona 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 May 2020. The other survey can also be found in the GESIS repository (https://doi.org/10.7802/2116). The second wave of this study is available at https://doi.org/10.7802/2335 . GermanyGermany Wohnbevölkerung über 18 Jahre cross-sectioncross-section Non-probability Sample - Quota SampleNon-probability Sample - Quota Sample Web-basiertes InterviewWeb-basiertes ExperimentWeb-basiertes InterviewWeb-basiertes Experiment 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) http://dbkapps.gesis.org/dbkoai/oai.asp oai:dbk.gesis.org:SDN/10.7802_2118 2023-03-11 ddi:codebook:2_5