GESIS - DBK - ZA5349

ZA5349: Long-term Online Tracking, T16 (GLES 2009)

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ZA5349 Downloads and Data Access

List of Files

List of Files


  • ZA5349_v2-0-0.dta (Dataset Stata) 3 MBytes
  • ZA5349_v2-0-0.sav (Dataset SPSS) 8 MBytes


  • ZA5349_fb_v2-0-0.pdf (Questionnaire) 975 KBytes

Other Documents

  • (Other Document) 2 MBytes
  • ZA5349_Aenderungen_v1-0-0_zu_v2-0-0.pdf (Other Document) 92 KBytes
  • ZA5349_sb_v2-0-0.pdf (Study Description) 518 KBytes
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Bibliographic Citation

Citation Citation GLES (2015): Long-term Online Tracking, T16 (GLES 2009). GESIS Data Archive, Cologne. ZA5349 Data file Version 2.0.0,
Study No.ZA5349
TitleLong-term Online Tracking, T16 (GLES 2009)
Other Titles
  • German Longitudinal Election Study (Project Title)
Current Version2.0.0, 2015-5-6,
Date of Collection08.12.2011 - 18.12.2011
Principal Investigator/ Authoring Entity, Institution
  • Rattinger, Hans - Universität Mannheim
  • Roßteutscher, Sigrid - Universität Frankfurt
  • Schmitt-Beck, Rüdiger - Universität Mannheim
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung
  • Bieber, Ina - Universität Frankfurt
  • Scherer, Philipp - Universität Frankfurt
Contributor, Institution, Role
  • Roßteutscher, Sigrid - Universität Frankfurt - ProjectLeader
  • Bieber, Ina - Universität Frankfurt - ProjectManager
  • Scherer, Philipp - Universität Frankfurt - ProjectMember
  • Beermann, Pia - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Fürnberg, Ossip - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator


Categories Categories
  • Political Attitudes and Behavior
Topics Topics
  • 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 at least 18 years old and participated at the Online-Access-Panel by Respondi AG. This panel comprised in 2011 nearly 100000 active members. Recruitment primary works online but also 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 CollectorBamberg Center for Empirical Studies (BACES)
Date of Collection
  • 08.12.2011 - 18.12.2011

Errata & Versions

VersionDate, Name, DOI
2.0.0 (current version)2015-5-6 Release2-0-0
1.0.02012-1-19 Pre-Release1-0-0
Errata in current version
Version changes
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2015-5-11Umlauts (ä, ö, ü) and „ß“ were changed into „ae“, “oe”, “ue” and “ss” in variable- and value-labels of data set. It should guarantee the international usability of this data set. Moreover upper and lower case was adapted to German spelling.2015-5-11
2015-5-11Maximum length of variable labels was limited to 80 figures and maximum length of value labels was limited to 120 figures. In some cases variables exceeded these limits. Variable and value labels were then shortened so that meaning with regard to contend remained.2015-5-11
2015-5-11Variablenames of variables „dkirchg“ were renamed in „kirchg“ in version 2.0.02015-5-11
2015-5-11Variables A03s and A05s were added into the Scientific Use File in version 2.0.02015-5-11
2015-5-11Missing values were definied in version 2.0.0 for variables A36 („party identification“), duration („duration of interview“), A39a-l („membership of organization“) und kirchg („frequency of church/mosque/synagogue attendance“).2015-5-11
2015-5-11Wrongly assigned letters in questionnaire were corrected in version 2.0.0 for questions A16c-j_c („scalometer coalition“).2015-5-11
2015-5-11Variable- and value labels are corrected in version

Further Remarks

Number of Units: 1114
Number of Variables: 681
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.