GESIS - DBK - ZA5711
 

ZA5711: TV Debate Analysis, Real_Time-Response Data (Dial) (GLES 2013)

Downloads and Data Access


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ZA5711 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5711_missing_v1-0-0.do (Dataset) 2 KBytes
  • ZA5711_v1-0-0.dta (Dataset Stata) 3 MBytes
  • ZA5711_v1-0-0.sav (Dataset SPSS) 2 MBytes

Other Documents

  • ZA5709-12_sb.pdf (Study Description) 607 KBytes
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Bibliographic Citation

Citation Citation GLES (2014): TV Debate Analysis, Real_Time-Response Data (Dial) (GLES 2013). GESIS Data Archive, Cologne. ZA5711 Data file Version 1.0.0, https://doi.org/10.4232/1.11944
Study No.ZA5711
TitleTV Debate Analysis, Real_Time-Response Data (Dial) (GLES 2013)
Current Version1.0.0, 2014-6-13, https://doi.org/10.4232/1.11944
Date of Collection01.09.2013 - 01.09.2013
Principal Investigator/ Authoring Entity, Institution
  • Rattinger, Hans - Universität Mannheim
  • Roßteutscher, Sigrid - Universität Frankfurt
  • Schmitt-Beck, Rüdiger - Universität Mannheim
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung
  • Wolf, Christof - GESIS - Leibniz-Institut für Sozialwissenschaften
Contributor, Institution, Role
  • Faas, Thorsten - Universität Mainz - ProjectLeader
  • Maier, Jürgen - Universität Koblenz-Landau - ProjectLeader
  • Maier, Michaela - Universität Koblenz-Landau - ProjectLeader
  • Kaukal, Malte - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator

Content

Topics Topics
  • 9.2 Mass media
  • 11.7 Elections

Methodology

Geographic Coverage
  • Germany (DE)
UniversePeople eligible to vote at the federal election 2013
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Non-probability: Availability
  • Non-probability: Quota
Mode of Collection Mode of Collection
  • Measurements and tests
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 (Universität Mainz), Prof. Dr. Jürgen Maier (Universität Koblenz-Landau) and Prof. Dr. Michaela Maier (Universität Koblenz-Landau) at Koblenz, Landau/Pfalz und Mainz.
Date of Collection
  • 01.09.2013

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2014-6-13 Release1-0-0 https://doi.org/10.4232/1.11944
Errata in current version
none
Version changes

Further Remarks

Links
Number of Units: 88
Number of Variables: 5609
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.