Research data

GLES Coding of the Most Important Political Problem (2018-2023)

GESIS, Cologne. ZA7957 Data file Version 3.0.0, https://doi.org/10.4232/1.14338

Methodology

Date(s) of Data Collection: 20.04.2018 - 15.11.2023
Geographic coverage: Germany (DE)
Number of Units: 66662
Analysis Unit: Individual
Data Collector: GESIS – Leibniz-Institut für Sozialwissenschaften
Analysis System(s): SPSS, Stata, CSV
Kind of Data: Numeric | Text
Number of Variables: 187

Bibliographic information

Principal Investigator/ Authoring Entity, Institution: Debus, Marc - Universität Mannheim | Faas, Thorsten - Freie Universität Berlin | Roßteutscher, Sigrid - Goethe-Universität Frankfurt am Main | Schoen, Harald - Universität Mannheim
Publication year: 2024
DOI: 10.4232/1.14338 | 10.4232/1.14241 | 10.4232/1.14200
Study number: ZA7957
Contributor, Institution, Role: Weiß, Julia - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectLeader | Marquardt, Jan - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectLeader | Eschenwecker, Stefan - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember | Meurer, Jan Eric - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember | Marqu ... more
Publisher: GESIS
Research data center: FDZ Wahlen bei GESIS

Versions

Current Version: 3.0.0, 2024-07-09, https://doi.org/10.4232/1.14338
Version history: ... more
Version changes: ... more
Study group:
German Longitudinal Election Study (GLES) | show all hits of the group
The German Longitudinal Election Study (GLES) is the central infrastructure project in Germany for the continuous collection and provision of high-quality data for national and international election research. The methodologically diverse surveys of the GLES enable the research of political attitudes and behavior of voters and candidates. Since it ... more

Cite:

GLES (2024). GLES Coding of the Most Important Political Problem (2018-2023). GESIS, Cologne. ZA7957 Data file Version 3.0.0, https://doi.org/10.4232/1.14338.

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