GESIS - DBK - ZA6822

ZA6822: Short-term Campaign Panel - Lower Saxony election wave (GLES 2017)

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List of Files

List of Files


  • (Dataset) 2 KBytes
  • ZA6822_v2-0-0.dta (Dataset Stata) 686 KBytes
  • ZA6822_v2-0-0.sav (Dataset SPSS) 867 KBytes
  • (Dataset) 4 KBytes
  • ZA6822_v2-0-0_NI_open-ended.csv (Dataset) 102 KBytes
  • ZA6822_Zeitvariablen_v2-0-0.dta (Dataset Stata) 376 KBytes
  • ZA6822_Zeitvariablen_v2-0-0.sav (Dataset SPSS) 346 KBytes
  • (Dataset) 1 KByte
  • ZA6822_Zeitvariablen_zuspielen.sps (Dataset) 2 KBytes


  • ZA6822_Bildschirmansichten.pdf (Questionnaire) 3 MBytes
  • ZA6822_fb.pdf (Questionnaire) 642 KBytes

Other Documents

  • (Codeplan) 348 KBytes
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Bibliographic Citation

Citation Citation GLES (2018): Short-term Campaign Panel - Lower Saxony election wave (GLES 2017). GESIS Data Archive, Cologne. ZA6822 Data file Version 2.0.0,
Study No.ZA6822
TitleShort-term Campaign Panel - Lower Saxony election wave (GLES 2017)
Current Version2.0.0, 2018-9-26,
Date of Collection16.10.2017 - 24.10.2017
Principal Investigator/ Authoring Entity, Institution
  • Roßteutscher, Sigrid - Universität Frankfurt
  • Schmitt-Beck, Rüdiger - Universität Mannheim
  • Schoen, Harald - Universität Mannheim
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung
  • Wolf, Christof - GESIS - Leibniz-Institut für Sozialwissenschaften
Contributor, Institution, Role
  • Schoen, Harald - Universität Mannheim - ProjectLeader
  • Preißinger, Maria - Universität Mannheim - ProjectManager
  • Gärtner, Lea - Universität Mannheim - ProjectMember
  • Kratz, Agatha - Universität Mannheim - ProjectMember
  • Wuttke, Alexander - Universität Mannheim - ProjectMember
  • Bucher, Hannah - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Jungmann, Nils - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Stroppe, Anne-Kathrin - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator


Geographic Coverage
  • Germany (DE)
UniverseThe target population of the Campaign Panel comprises all German citizens who were eligible to vote in the election to the German Bundestag on September 24, 2017. Due to conducting the study online, not every German citizen eligible to vote had a chance to be selected for the survey. Thus, the frame population is restricted to German citizens eligible to vote who were members of the Online-Access-Panels conducted by Respondi AG and GapFish GmbH. The members of the Access-Panels are mainly recruited online. A smaller proportion is recruited by telephone.
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
  • Longitudinal: Panel
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorUniversity of Mannheim, Chair for Political Psychology
Date of Collection
  • 16.10.2017 - 24.10.2017

Errata & Versions

VersionDate, Name, DOI
2.0.0 (current version)2018-9-26 Release2-0-0
1.0.02018-3-28 first archive edition
Errata in current version
2018-3-28Filter error kpN_1933Due to unclear circumstances, 1 respondent in kpN_1933 was not directed to the follow-up request, although she had not moved the slider.
Version changes
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2018-9-25Open answers are coded and included in the dataset(kpN_840_c1-5, kpN_860_c1-5).2018-9-25
2018-9-25Post-stratification weights have been recalculated based on the marginal distributions from the (N)Onliner-Atlas 2016 (weiN_on) and the German microcensus 2016 (weiN_mz).2018-9-25
2018-9-25Variable names have been adjusted according to the Short-Term Campaign-Panel 2013 (ZA5704). This affects the variables: kpX_250; kpX_262* (New names: kpX_252;kpX_260*).2018-9-25
2018-9-25Update of the Do-File to link the wave of the Lower Saxony election 2017 (version 2.0.0) and the campaign panel 2017 (version 6.0.0)2018-9-25
2018-9-25Correction of variable and value labels2018-9-25

Further Remarks

Number of Units: 1153
Number of Variables: 173
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.
  • State Elections in Lower Saxony