Summary information

Study title

COVID-19 and Social Inequality - B (Welle 1)

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

10.7802/2118 (GESIS)

10.7802/2118 (DOI)

Data access

Informationen nicht verfügbar

Series

Nicht verfügbar

Abstract

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 .

Topics

Nicht verfügbar

Methodology

Data collection period

14/05/2020 - 03/06/2020

Country

Germany

Time dimension

cross-section

Analysis unit

Nicht verfügbar

Universe

Nicht verfügbar

Sampling procedure

Non-probability Sample - Quota Sample

Kind of data

Nicht verfügbar

Data collection mode

Web-basiertes InterviewWeb-basiertes Experiment

Access

Publisher

GESIS Datenarchiv für Sozialwissenschaften

Publication year

2020

Terms of data access

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)

Related publications

Nicht verfügbar