GESIS - DBK - ZA5719

ZA5719: Long-term Online Tracking, T19 (GLES)

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List of Files

List of Files


  • ZA5719_v2-0-0.dta (Dataset Stata) 1 MByte
  • ZA5719_v2-0-0.sav (Dataset SPSS) 1 MByte


  • ZA5719_fb_v2-0-0.pdf (Questionnaire) 782 KBytes

Other Documents

  • (Codeplan) 2 MBytes
  • ZA5719_sb_v2-0-0.pdf (Study Description) 743 KBytes
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Bibliographic Citation

Citation Citation GLES (2014): Long-term Online Tracking, T19 (GLES). GESIS Data Archive, Cologne. ZA5719 Data file Version 2.0.0,
Study No.ZA5719
TitleLong-term Online Tracking, T19 (GLES)
Current Version2.0.0, 2014-8-21,
Date of Collection04.01.2013 - 19.01.2013
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
  • Lamers, Patrick - Universität Frankfurt - ProjectManager
  • Bieber, Ina - Universität Frankfurt - ProjectMember
  • Scherer, Philipp - Universität Frankfurt - ProjectMember
  • Kaukal, Malte - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Prinz, Christian - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator


Categories Categories
  • Political Attitudes and Behavior
  • Political Issues
Topics Topics
  • 5.8 Social behaviour and attitudes
  • 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 eligible to vote at the German Federal Election 2013. 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 LINK Internet Panel, who had a minimum age of 18 years, who lived in Germany and used at least once a week the Internet for private reasons. This group comprised nearly 40000 active Panel members in the LINK Internet Panel. Panel members were recruited exclusively 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 Institute for Market and Social Science Research, Frankfurt am Main
Date of Collection
  • 04.01.2013 - 19.01.2013

Errata & Versions

VersionDate, Name, DOI
2.0.0 (current version)2014-8-21 Release2-0-0
1.0.02013-3-18 first archive edition
Errata in current version
2013-3-1810 respondents that stated to be in a relationship (t170=1) and 17 respondents that stated to live with their marital partner (t57=1) have not been asked question t173 (“Partner, Arbeitslosigkeit”, “unemployment of partner”).
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 (
2014-8-22Scale in variable t157f was coded wrong and have been corrected.2014-8-22
2014-8-22Recode of participants being older than 80 years in t2 have been removed and were replaced through their actual birth year.2014-8-22
2014-8-22Variable labels have been corrected2014-8-22
Changes between version 1.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2013-3-18Filter flaw: unemployment of partner10 respondents that stated to be in a relationship (t170=1) and 17 respondents that stated to live with their marital partner (t57=1) have not been asked question t173 (“Partner, Arbeitslosigkeit”, “unemployment of partner”).--

Further Remarks

Number of Units: 1034
Number of Variables: 421
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.