Summary information

Study title

COVID-19 and Social Inequality - April 2020

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

10.7802/2116 (GESIS)

10.7802/2116 (DOI)

Data access

Information not available

Series

Not available

Abstract

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).

Topics

Not available

Methodology

Data collection period

29/04/2020 - 08/05/2020

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

Access

Publisher

GESIS Data Archive for the Social Sciences

Publication year

2020

Terms of data access

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)

Related publications

Not available