GESIS - DBK - ZA5705
 

ZA5705: Campaign Media Content Analysis: TV (GLES 2013)

Downloads and Data Access


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ZA5705 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5705_v1-0-0.dta (Dataset Stata) 3 MBytes
  • ZA5705_v1-0-0.sav (Dataset SPSS) 2 MBytes
  • ZA5705_v1-0-0_en.dta (Dataset Stata) 3 MBytes
  • ZA5705_v1-0-0_en.sav (Dataset SPSS) 2 MBytes

Other Documents

  • ZA5705_Kurzanleitung_v1-0-0.pdf (Other Document) 61 KBytes
  • ZA5705_mb_v1-0-0.pdf (Method Report) 593 KBytes
  • ZA5705_mr_v1-0-0.pdf (Method Report) 584 KBytes
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Bibliographic Citation

Citation Citation GLES (2015): Campaign Media Content Analysis: TV (GLES 2013). GESIS Data Archive, Cologne. ZA5705 Data file Version 1.0.0, https://doi.org/10.4232/1.12173
Study No.ZA5705
TitleCampaign Media Content Analysis: TV (GLES 2013)
Current Version1.0.0, 2015-2-3, https://doi.org/10.4232/1.12173
Date of Collection23.06.2013 - 21.09.2013
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
  • Schmitt-Beck, Rüdiger - Universität Mannheim - ProjectLeader
  • Schäfer, Anne - Universität Mannheim - ProjectManager
  • Krewel, Mona - Universität Mannheim - ProjectMember
  • Schmidt, Sebastian - Universität Mannheim - ProjectMember
  • Blumenberg, Manuela - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator

Content

Topics Topics
  • 9.2 Mass media
  • 11.5 Mass political behaviour, attitudes/opinion
  • 11.6 Government, political systems and organisation
  • 11.7 Elections

Methodology

Geographic Coverage
  • Germany (DE)
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
Date of Collection
  • 23.06.2013 - 21.09.2013

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2015-2-3 first archive edition https://doi.org/10.4232/1.12173
Errata in current version
none
Version changes

Further Remarks

Links
Number of Units: 5947
Number of Variables: 104
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.