GESIS - DBK - ZA6808

ZA6808: Campaign Media Content Analysis, TV (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:
ZA6808 Downloads and Data Access

List of Files

List of Files


  • (Dataset) 2 KBytes
  • ZA6808_v1-0-0.dta (Dataset Stata) 2 MBytes
  • ZA6808_v1-0-0.sav (Dataset SPSS) 2 MBytes

Other Documents

  • ZA6808_Kurzanleitung.pdf (Other Document) 112 KBytes
  • ZA6808_mb.pdf (Method Report) 2 MBytes
  • ZA6808_mr.pdf (Method Report) 1 MByte
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 (2018): Campaign Media Content Analysis, TV (GLES 2017). GESIS Data Archive, Cologne. ZA6808 Data file Version 1.0.0,
Study No.ZA6808
TitleCampaign Media Content Analysis, TV (GLES 2017)
Current Version1.0.0, 2018-11-20,
Date of Collection27.06.2017 - 23.09.2017
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
  • Schmitt-Beck, Rüdiger - Universität Mannheim - ProjectLeader
  • Schackmann, Lena Marie - Universität Mannheim - ProjectManager
  • Krewel, Mona - Universität Mannheim - ProjectMember
  • Schäfer, Anne - Universität Mannheim - ProjectMember
  • Schmidt, Sebastian - Universität Mannheim - ProjectMember
  • Jungmann, Nils - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator


Geographic Coverage
  • Germany (DE)
UniverseTV news coverage during the field period
Analysis Unit Analysis Unit
  • Text Unit
Sampling Procedure Sampling Procedure
  • Non-probability: Purposive
Mode of Collection Mode of Collection
  • Content coding
Time Method Time Method
  • Longitudinal: Trend/Repeated cross-section
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorUniversity of Mannheim - Chair of Political Science I
Date of Collection
  • 27.06.2017 - 23.09.2017

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2018-11-20 first archive edition
Errata in current version
Version changes

Further Remarks

Number of Units: 5151
Number of Variables: 105
Analysis System(s): SPSS, Stata


Relevant full texts
from SSOAR (automatically assigned)


Research Data Centre
  •  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.