GESIS - DBK - ZA5307
 

ZA5307: Campaign Media Content Analysis, Print Media (GLES 2009)

Downloads and Data Access


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ZA5307 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5307_en_v1-0-0.dta (Dataset Stata) 704 KBytes
  • ZA5307_en_v1-0-0.sav (Dataset SPSS) 882 KBytes
  • ZA5307_v1-0-0.dta (Dataset Stata) 716 KBytes
  • ZA5307_v1-0-0.sav (Dataset SPSS) 893 KBytes

Other Documents

  • ZA5307_mb_v1-0-0.pdf (Method Report) 758 KBytes
  • ZA5307_mr_v1-0-0.pdf (Method Report) 579 KBytes
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Bibliographic Citation

Citation Citation GLES (2012): Campaign Media Content Analysis, Print Media (GLES 2009). GESIS Data Archive, Cologne. ZA5307 Data file Version 1.0.0, https://doi.org/10.4232/1.11387
Study No.ZA5307
TitleCampaign Media Content Analysis, Print Media (GLES 2009)
Current Version1.0.0, 2012-6-29, https://doi.org/10.4232/1.11387
Date of Collection29.06.2009 - 26.09.2009
Principal Investigator/ Authoring Entity, Institution
  • Rattinger, Hans - Universität Mannheim
  • Roßteutscher, Sigrid - Universität Frankfurt
  • Schmitt-Beck, Rüdiger - Universität Mannheim
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung
Contributor, Institution, Role
  • Schmitt-Beck, Rüdiger - Universität Mannheim - ProjectLeader
  • Krewel, Mona - Universität Mannheim - ProjectManager
  • Walter, Stefanie - Universität Mannheim - ProjectMember
  • Kulick, Manuela - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Prinz, Christian - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Roßmann, Joss - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator

Content

Categories Categories
  • Political Attitudes and Behavior
Topics Topics
  • 9.2 Mass media
  • 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
  • 29.06.2009 - 26.09.2009

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2012-6-29 first archive edition https://doi.org/10.4232/1.11387
Errata in current version
none
Version changes

Further Remarks

Links
Number of Units: 2323
Number of Variables: 83
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.