TV Debate Analysis, Content Analysis Fünfkampf (GLES 2017)
GESIS Data Archive, Cologne. ZA6829 Data file Version 1.0.0, https://doi.org/10.4232/1.13260
Methodology
Date(s) of Data Collection: 04.09.2017
Geographic coverage: Germany (DE)
Number of Units: 682
Sampling Procedure: • Non-probability: Purposive;
Temporal Research Design: Longitudinal: Trend/Repeated cross-section Analysis Unit: Media unit: Text Mode of Data Collection: • Content coding;
Data Collector: This study was conducted by Prof. Dr. Thorsten Faas (Johannes Gutenberg University Mainz), Prof. Dr. Jürgen Maier (University of Koblenz-Landau) and Prof. Dr. Michaela Maier (University of Koblenz-Landau) at Mainz and Landau.
Analysis System(s): SPSS, Stata
Kind of Data: Numeric | Text Number of Variables: 55
Bibliographic information
Principal Investigator/ Authoring Entity, Institution: Roßteutscher, Sigrid - Universität Frankfurt | Schmitt-Beck, Rüdiger - Universität Mannheim | Schoen, Harald - Universität Mannheim | Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung | Wolf, Christof - GESIS – Leibniz-Institut für Sozialwissenschaften
Publication year: 2019
DOI: 10.4232/1.13260
Study number: ZA6829
Contributor, Institution, Role: Faas, Thorsten - Freie Universität Berlin - ProjectLeader | Maier, Jürgen - Universität Koblenz-Landau - ProjectLeader | Maier, Michaela - Universität Koblenz-Landau - ProjectLeader | Jungmann, Nils - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
Publisher: GESIS Data Archive
Versions
Current Version: 1.0.0, 2019-04-08, https://doi.org/10.4232/1.13260
Version history: ... more Study group:
German Longitudinal Election Study (GLES) |
show all hits of the groupThe 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