GESIS - DBK - ZA6831
 

ZA6831: TV Debate Analysis, Real-Time-Response Data Fünfkampf (pushbutton) (GLES 2017)

Downloads and Data Access


On this page you find the complete metadata and an overview of all available data sets and documents for the requested study. The download of all files is possible from our central search page under the following link:
ZA6831 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA6831_v1-0-0.dta (Dataset Stata) 2 MBytes
  • ZA6831_v1-0-0.sav (Dataset SPSS) 2 MBytes

Other Documents

  • ZA6810ff_sb.pdf (Study Description) 880 KBytes
Availability Availability A - Data and documents are released for academic research and teaching.
Download of Data and Documents Download of Data and Documents All downloads from this catalogue are free of charge. Data-sets available under access categories B and C must be ordered via the shopping cart with a few exceptions. Charges apply! Please respect our Terms of use.


Bibliographic Citation

Citation Citation GLES (2019): TV Debate Analysis, Real-Time-Response Data Fünfkampf (pushbutton) (GLES 2017). GESIS Data Archive, Cologne. ZA6831 Data file Version 1.0.0, https://doi.org/10.4232/1.13262
Study No.ZA6831
TitleTV Debate Analysis, Real-Time-Response Data Fünfkampf (pushbutton) (GLES 2017)
Current Version1.0.0, 2019-4-8, https://doi.org/10.4232/1.13262
Date of Collection04.09.2017 - 04.09.2017
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
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

Methodology

Geographic Coverage
  • Germany (DE)
UniverseGerman citizens who were eligible to vote in the 2017 German federal election at the time of the survey
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Non-probability: Availability
  • Non-probability: Quota
The self-recruited participants were selected using a quota plan.
Mode of Collection Mode of Collection
  • Measurements and tests
Real-time response measurement (Push-Button)
Time Method Time Method
  • Time series: Continuous
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorThis 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.
Date of Collection
  • 04.09.2017

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2019-4-8 first archive edition https://doi.org/10.4232/1.13262
Errata in current version
none
Version changes

Further Remarks

Number of Units: 32
Number of Variables: 9223
Analysis System(s): SPSS, Stata

Publications

Relevant full texts
from SSOAR (automatically assigned)

Groups

Research Data Centre
Groups
  •  German Longitudinal Election Study (GLES)
     The German Longitudinal Election Study (GLES) is a DFG-funded project which made its debut just prior to the 2009 federal election. GLES is the largest and most ambitious election study held so far in Germany. Although the initial mandate is to examine and analyse the electorate for three consecutive elections, the aspired goal is to integrate the project within GESIS as an institutionalized election study after the federal election of 2017, and hence to make it a permanent study.