Summary information

Study title

COVID-19 and Social Inequality – A (Welle 3)

Creator

Busemeyer, Marius R. ( Universität Konstanz)
Diehl, Claudia ( Universität Konstanz)
Bellani, Luna ( Universität Konstanz)
Koos, Sebastian ( Universität Konstanz)
Schmelz, Katrin ( Universität Konstanz)
Selb, Peter ( Universität Konstanz)
Hinz, Thomas ( Universität Konstanz)

Study number / PID

10.7802/2456 (GESIS)

10.7802/2456 (DOI)

Data access

Information not available

Series

Not available

Abstract

To develop a better understanding of 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, 2021 and 2022. The surveys were organized in two series, Survey A and B. For each series, three cross-sectional surveys were conducted that included a sample of respondents who were surveyed repeatedly. This dataset is the survey that took place in May 2021. It is the third Wave of Survey A. The other surveys can also be found in the GESIS repository (https://doi.org/10.7802/2116 , https://doi.org/10.7802/2118 , https://doi.org/10.7802/2334 , https://doi.org/10.7802/2335).

Topics

Not available

Methodology

Data collection period

01/05/2021

Country

Germany

Time dimension

cross-section

Analysis unit

Not available

Universe

Wohnbevölkerung über 18 Jahre

Sampling procedure

Non-probability Sample - Quota Sample

Kind of data

Not available

Data collection mode

Web-based interview
Web-based experiment

Access

Publisher

GESIS Data Archive for the Social Sciences

Publication year

2023

Terms of data access

Free access (with registration) - The research data can be downloaded by registered users. CC BY 4.0: Attribution (https://creativecommons.org/licenses/by/4.0/deed.de)

Related publications

Not available