GESIS - DBK - ZA5338

ZA5338: Long-term Online Tracking, T5 (GLES 2009)

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ZA5338 Downloads and Data Access

List of Files

List of Files


  • ZA5338_v3-1-0.dta (Dataset Stata) 3 MBytes
  • ZA5338_v3-1-0.sav (Dataset SPSS) 3 MBytes


  • ZA5338_fb_v3-1-0.pdf (Questionnaire) 834 KBytes

Other Documents

  • (Other Document) 2 MBytes
  • ZA5338_Aenderungen_v3-0-0_zu_v3-1-0.pdf (Other Document) 19 KBytes
  • ZA5338_sb_v3-1-0.pdf (Study Description) 439 KBytes
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Bibliographic Citation

Citation Citation GLES (2015): Long-term Online Tracking, T5 (GLES 2009). GESIS Data Archive, Cologne. ZA5338 Data file Version 3.1.0,
Study No.ZA5338
TitleLong-term Online Tracking, T5 (GLES 2009)
Other Titles
  • German Longitudinal Election Study (Project Title)
Current Version3.1.0, 2015-6-29,
Date of Collection24.08.2009 - 01.09.2009
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
  • Rattinger, Hans - Universität Mannheim - ProjectLeader
  • Fürnberg, Ossip - GESIS - Leibniz-Institut für Sozialwissenschaften - ProjectManager
  • Bieber, Ina - Universität Frankfurt - ProjectMember
  • Fürnberg, Ossip - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Roßmann, Joss - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator


Categories Categories
  • Political Attitudes and Behavior
Topics Topics
  • 11.5 Mass political behaviour, attitudes/opinion
  • 11.6 Government, political systems and organisation
  • 11.7 Elections
  • 17.6 Economic systems and development


Geographic Coverage
  • Germany (DE)
UniverseThe population comprises all German citizens who were at least 18 years old and participated at the Online-Access-Panel by Respondi AG. This panel comprised in 2009 nearly 65000 active members. Recruitment primary works online but also by phone.
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Non-probability: Quota
Mode of Collection Mode of Collection
  • Self-administered questionnaire: Web-based (CAWI)
Time Method Time Method
  • Cross-section
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorBamberg Center for Empirical Studies (BACES)
Date of Collection
  • 24.08.2009 - 01.09.2009

Errata & Versions

VersionDate, Name, DOI
3.1.0 (current version)2015-6-29 Release3-1-0
3.0.02011-1-4 Pre-Release1.2
2.0.02010-3-8 Pre-Release1.1
1.0.02010-1-27 Pre-Release1.0
Errata in current version
Version changes
Changes between version 3.1.0 and it's previous version
DateSubjectDescriptionCorrection Description
2015-6-29The coding of c03yc_1-6 was wrong and have been corrected (respondents who are supportive to european integration were coded with values of being against the integration process). Furthermore, ec03z and ec03zc have been renamed into c03z and c03cz.2015-6-29
Changes between version 3.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2011-1-4Some response variables (t_A04, t_B23aa, t_E01a, t_E01b, t_A26, t_42 to t_52) contained erroneous response times. The mistake has been corrected.--
2011-1-4New codings have been added for reasons for electoral decision (“Gründe der Wahlentscheidung”) and assessment of most important problems. Also, issue competence (“Problemlösungskompetenz“) has been recoded. Variables: a56a-c, a3, a5.--
2011-1-4The variable v04c (“Bundesland”, “federal state”) has been recoded.--
2011-1-4The variable wahlkreis (electoral district) has been added to the data set.--
2011-1-4Adjustments made to variables “Beschäftigungssektor, damalig/früher“(“occupational sector, previous“) and “Geburtsland” (“country of birth”). Variables: A40a, A45.--
2011-1-4The average response duration in the study documentation has been corrected.--
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2010-3-8Optimization of the data set (to ensure, inter alia, improved compatibility between SPSS and Stata).--

Further Remarks

Number of Units: 1139
Number of Variables: 1027
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.