GESIS - DBK - ZA5350

ZA5350: Long-term Online Tracking, T17 (GLES)

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ZA5350 Downloads and Data Access

List of Files

List of Files


  • ZA5350_v1-2-0.dta (Dataset Stata) 2 MBytes
  • ZA5350_v1-2-0.sav (Dataset SPSS) 5 MBytes


  • ZA5350_fb_v1-2-0.pdf (Questionnaire) 1 MByte

Other Documents

  • (Other Document) 2 MBytes
  • ZA5350_sb_v1-2-0.pdf (Study Description) 833 KBytes
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Bibliographic Citation

Citation Citation GLES (2015): Long-term Online Tracking, T17 (GLES). GESIS Data Archive, Cologne. ZA5350 Data file Version 1.2.0,
Study No.ZA5350
TitleLong-term Online Tracking, T17 (GLES)
Current Version1.2.0, 2015-5-6,
Date of Collection02.05.2012 - 15.05.2012
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
  • Bieber, Ina - Universität Frankfurt - ProjectManager
  • Scherer, Philipp - Universität Frankfurt - ProjectMember
  • Kaukal, Malte - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Prinz, Christian - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Roßmann, Joss - 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
  • 17.6 Economic systems and development


Geographic Coverage
  • Germany (DE)
UniverseThe population comprises all Germans who were eligible to vote German Bundestag. Due to the fact that the study was conducted online, not everybody had a chance to get selected for this survey. Therefore population comprises only members of the LINK Internet Panel who are at least 18 years old, are German citizens, live in Germany and use the Internet for private purposes at least once a week. This population comprises at sampling time nearly 40000 active panel members. Recruitment of panel members was exclusively done 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 CollectorDatenerhebung LINK Institut für Markt- und Sozialforschung, Frankfurt am Main
Date of Collection
  • 02.05.2012 - 15.05.2012

Errata & Versions

VersionDate, Name, DOI
1.2.0 (current version)2015-5-6 Release1-2-0
1.1.02014-4-22 Release1-1-0
1.0.02013-4-25 Pre-Release 1-0-0
Errata in current version
Version changes
Changes between version 1.2.0 and it's previous version
DateSubjectDescriptionCorrection Description
2015-5-11The suffix „s“ was added to variable t178 in order to mark them as string variable. One case had code 3818 in variable t12c1 although this code does not exist in coding scheme. Due to the fact that it was a typing error, the code was recoded into 3181 which fits with regards to content.2015-5-11

Further Remarks

Number of Units: 1016
Number of Variables: 582
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.