GESIS - DBK - ZA5749

ZA5749: Long-term Online-Tracking, Cumulation 2009-2014, Core questions (GLES)

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List of Files

List of Files


  • (Dataset) 2 KBytes
  • ZA5749_open-ended_v1-2-0.csv (Dataset) 1 MByte
  • ZA5749_v1-2-0.dta (Dataset Stata) 17 MBytes
  • ZA5749_v1-2-0.sav (Dataset SPSS) 17 MBytes


  • ZA5749_fb.pdf (Questionnaire) 2 MBytes

Other Documents

  • (Codeplan) 2 MBytes
  • (Codeplan) 138 KBytes
  • ZA5749_sb.pdf (Study Description) 1 MByte
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Bibliographic Citation

Citation Citation GLES (2016): Long-term Online-Tracking, Cumulation 2009-2014, Core questions (GLES). GESIS Data Archive, Cologne. ZA5749 Data file Version 1.2.0,
Study No.ZA5749
TitleLong-term Online-Tracking, Cumulation 2009-2014, Core questions (GLES)
Current Version1.2.0, 2016-9-12,
Date of Collection18.09.2009 - 23.05.2014
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
  • Roßteutscher, Sigrid - Universität Frankfurt - ProjectLeader
  • Henckel, Simon - Universität Frankfurt - ProjectManager
  • Bieber, Ina - Universität Frankfurt - ProjectMember
  • Scherer, Philipp - Universität Frankfurt - ProjectMember
  • Kaukal, Malte - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator


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


Geographic Coverage
  • Germany (DE)
UniverseThe population comprises all German citizens who were eligible to vote when the survey was conducted . Due to the fact that this was an online survey not everybody who was eligible to vote had a probability to get selected for this Online Tracking. Therefore the population comprises all persons with German citizenship resident in the Federal Republic of Germany and being part of the Respondi-Access-Panel (T6,8-16) or LINK Internet Panel (T17-), who had a minimum age of 18 years, who lived in Germany and used at least once a week the Internet for private reasons.
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
  • Longitudinal: Trend/Repeated cross-section
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorTracking 6,8-16: Bamberg Center for Empirical Studies (BACES), Bamberg Tracking T17-: LINK Institute for Market and Social Science Research, Frankfurt am Main
Date of Collection
  • 18.09.2009 - 23.05.2014

Errata & Versions

VersionDate, Name, DOI
1.2.0 (current version)2016-9-12 Release1-2-0
1.1.02015-7-3 Release1-1-0
1.0.02015-5-6 Release1-0-0
Errata in current version
Version changes
Changes between version 1.2.0 and it's previous version
DateSubjectDescriptionCorrection Description
2016-9-12or observations of Tracking T18-21 the variable k0230d_1 "Left-Right perception, Die Linke" contains data of k0230e_1 and therefore left-right perceptions of the FDP. Thus, the perceptions of "die Linke" is missing. This has been corrected.2016-9-12
2016-9-12For observations of Tracking T9 the variables k0451c1-5_1 "Use of internet, Sites, 1.-5. mentioned site" contains only data of k0451c1_1. This has been corrected.2016-9-12
2016-9-12For observations of Tracking T21 the variable k0489g_1 "Attitudes to politics/society, socialism is a good idea" contains the data of k0489h_1 "Attitudes to politics/society, voting is a citizen duty". This has been corrected.2016-9-12
2016-9-12For observations of Tracking T21 the variable k0140f_1 "Skalomter Parties, Greens" contains the data of k0140e_1 "Skalometer Parties, the Left". This has been corrected.2016-9-12
Changes between version 1.1.0 and it's previous version
DateSubjectDescriptionCorrection Description
2015-7-3Due to a coding error in variable "k0680_1" (Religion) and "k0680_2" (Religion, T6-14) all respondents of the Longterm-Online Tracking T13 who told to have no religion were coded like they would have "another religion". This have been corrected. 2015-7-3

Further Remarks

Number of Units: 19704
Number of Variables: 492
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.