GESIS - DBK - ZA5720

ZA5720: Long-term Online Tracking, T20 (GLES)

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ZA5720 Downloads and Data Access

List of Files

List of Files


  • (Dataset) 2 KBytes
  • ZA5720_v3-0-0.dta (Dataset Stata) 1 MByte
  • ZA5720_v3-0-0.sav (Dataset SPSS) 1 MByte
  • ZA5720_v3-0-0_open-ended.csv (Dataset) 87 KBytes


  • ZA5720_fb.pdf (Questionnaire) 747 KBytes

Other Documents

  • (Codeplan) 2 MBytes
  • ZA5720_sb.pdf (Study Description) 722 KBytes
Availability Availability A - Data and documents are released for academic research and teaching.
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Bibliographic Citation

Citation Citation GLES (2018): Long-term Online Tracking, T20 (GLES). GESIS Data Archive, Cologne. ZA5720 Data file Version 3.0.0,
Study No.ZA5720
TitleLong-term Online Tracking, T20 (GLES)
Current Version3.0.0, 2018-4-17,
Date of Collection24.05.2013 - 08.06.2013
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
  • Jungmann, Nils - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Kaukal, Malte - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator


  • International politics and organisations
  • Political behaviour and attitudes
  • Government, political systems and organisations
  • Elections
  • Economic policy, public expenditure and revenue
  • Economic systems and development
Old Topics Old Topics
  • 11.2 International politics and organisation
  • 11.5 Mass political behaviour, attitudes/opinion
  • 11.6 Government, political systems and organisation
  • 11.7 Elections
  • 17.5 Economic policy
  • 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
  • 24.05.2013 - 08.06.2013

Errata & Versions

VersionDate, Name, DOI
3.0.0 (current version)2018-4-17 Release3-0-0
2.0.02014-8-21 Release2-0-0
1.0.02013-7-26 first archive edition
Errata in current version
Version changes
Changes between version 3.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2018-4-17Open answers to t307s "Reasons for vote abstention", t10s "Most important problem", t12s "Second most important problem", t314as "Debt crisis, main fault (Split 1, open question)" and t314bs "Debt crisis, main fault (Split 2, other mentions)" are now available in .csv-format. For this purpose, answers were intensively checked for privacy sensitive mentions and censored if necessary.2018-4-17
2018-4-17The Digital Object Identifier variable has been added and the order of meta data variables has been adapted to current releases.2018-4-17
2018-4-17The value label character length of t3 "Graduation" has been shortened.2018-4-17
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: 1048
Number of Variables: 453
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 the central infrastructure project in Germany for the continuous collection and provision of high-quality data for national and international election research. The methodologically diverse surveys of the GLES enable the research of political attitudes and behavior of voters and candidates. Since its inception, the GLES has been conducted in close cooperation between the German Society for Electoral Research (DGfW) and GESIS – Leibniz Institute for the Social Sciences.