GESIS - DBK - ZA5351

ZA5351: Long-term Online Tracking, T18 (GLES)

Downloads and Data Access

On this page you find the complete metadata and an overview of all available data sets and documents for the requested study. The download of all files is possible from our central search page under the following link:
ZA5351 Downloads and Data Access

List of Files

List of Files


  • ZA5351_v2-0-0.dta (Dataset Stata) 1 MByte
  • ZA5351_v2-0-0.sav (Dataset SPSS) 2 MBytes


  • ZA5351_fb_v2-0-0.pdf (Questionnaire) 688 KBytes

Other Documents

  • (Other Document) 2 MBytes
  • ZA5351_sb_v2-0-0.pdf (Study Description) 836 KBytes
Availability Availability A - Data and documents are released for academic research and teaching.
Download of Data and Documents Download of Data and Documents All downloads from this catalogue are free of charge. Data-sets available under access categories B and C must be ordered via the shopping cart with a few exceptions. Charges apply! Please respect our Terms of use.

Bibliographic Citation

Citation Citation GLES (2014): Long-term Online Tracking, T18 (GLES). GESIS Data Archive, Cologne. ZA5351 Data file Version 2.0.0,
Study No.ZA5351
TitleLong-term Online Tracking, T18 (GLES)
Other Titles
  • GLES (Project Title)
Current Version2.0.0, 2014-8-21,
Date of Collection17.09.2012 - 01.10.2012
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
  • Strack, Sascha - Universität Frankfurt - ProjectManager
  • Bieber, Ina - Universität Frankfurt - ProjectMember
  • Scherer, Philipp - Universität Frankfurt - ProjectMember
  • Kaukal, Malte - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Roßmann, Joss - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator


Topics Topics
  • 9.1 Information society
  • 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 CollectorLINK Institut für Markt- und Sozialforschung, Frankfurt am Main
Date of Collection
  • 17.09.2012 - 01.10.2012

Errata & Versions

VersionDate, Name, DOI
2.0.0 (current version)2014-8-21 Release2-0-0
1.0.02013-2-14 Pre-Release 1-0-0
Errata in current version
2013-2-14Case number 592 (lfdn) did not answer question t10 “Wichtigstes Problem“ (“most important problem“) but received the follow-up (filtered) question t11 “Wichtigstes Problem, Lösungskompetenz“ (“most important problem, issue competence”). This combination is excluded by the filter design. Thus, case 592 is to be perceived as a filter flaw.
2014-8-22Due to the transformation into a STATA File ".dta", all open answers were cut to 244 characters. Thus, we strongly recommend to use SPSS datasets for anlysis of open answers only.
Version changes
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2014-8-22Coded open answers of t10 "Most important problem" and t12 "Second most important problem" have been added. The coding scheme can be downloaded from GLES Microsite at GESIS (

Further Remarks

Number of Units: 1075
Number of Variables: 447
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.