GESIS - DBK - ZA6800

ZA6800: Pre-election Cross Section (GLES 2017)

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Bibliographic Citation

Citation Citation Roßteutscher, Sigrid; Schmitt-Beck, Rüdiger; Schoen, Harald; Weßels, Bernhard; Wolf, Christof; Bieber, Ina; Stövsand, Lars-Christopher; Dietz, Melanie; Scherer, Philipp (2019): Pre-election Cross Section (GLES 2017). GESIS Data Archive, Cologne. ZA6800 Data file Version 5.0.1,
Study No.ZA6800
TitlePre-election Cross Section (GLES 2017)
Current Version5.0.1, 2019-2-26,
Date of Collection31.07.2017 - 23.09.2017
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
  • Bieber, Ina - Universität Frankfurt
  • Stövsand, Lars-Christopher - Universität Frankfurt
  • Dietz, Melanie - Universität Frankfurt
  • Scherer, Philipp - Universität Frankfurt


Geographic Coverage
  • Germany (DE)
UniverseThe population comprises all persons with German citizenship resident in the Federal Republic of Germany, who had a minimum age of 16 years and lived in private households at the time the survey was being conducted.
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Probability: Stratified: Disproportional
Random sampling on the basis of local population registers. Oversampling of population in East Germany.
Mode of Collection Mode of Collection
  • Face-to-face interview: Computer-assisted (CAPI/CAMI)
Computer Assisted Personal Interview (CAPI)
Time Method Time Method
  • Cross-section
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorKantar Public Germany
Date of Collection
  • 31.07.2017 - 23.09.2017

Errata & Versions

VersionDate, Name, DOI
5.0.1 (current version)2019-2-26 Release5-0-1
5.0.02018-9-19 Release5-0-0
4.0.02018-8-3 Release4-0-0
3.0.02018-2-23 Release3-0-0
2.0.02017-11-23 Release2-0-0
1.0.02017-11-13 first archive edition
Errata in current version
2018-8-6Coding error q77b1-q77f1Contrary to specifications in the questionnaire, several respondents received code -97 "doesn´t apply" in variables q77a1-q77f1 "Knowledge of Constituency Candidates". This concerns 55 respondents for SPD, DIE LINKE, and FDP, as well as 60 respondents for GRÜNE and 140 respondents for AfD. For 55 respondents, this is probably due to a coding error, as they received code -99 "not stated" in q77a1 "Knowledge of Constituency Candidates of CDU/CSU". For the remaining respondents who received -97 "doesn´t apply" for knowledge of the constituency candidates of GRÜNE and AfD, probably no candidates of the respective parties stood for election in their constituencies.
Version changes
Changes between version 5.0.1 and it's previous version
DateSubjectDescriptionCorrection Description
2019-2-26Release of an English version of the datasets and the questionnaire2019-2-26
Changes between version 5.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2018-9-19The weighting variables have been updated, now using the marginal distributions of the German micro census 2017 (previously micro census 2016).2018-9-19
2018-9-19Timestamps are provided in a separate data set.2018-9-19
Changes between version 4.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2018-8-6Codings of the open answers to the variables "Most important problem" and "Second most important problem" (q22_c1 - q22_c5, q23_c1 - q23_c5) have been added to the data set.2018-8-6
2018-8-6The open answers to the variables "Most important problem" and "Second most important problem" (q22s, q23s) have been deleted.2018-8-6
2018-8-6The serial number has been corrected.2018-8-6
2018-8-6The weighting variables have been updated, now using the marginal distributions of the German micro census 2016 (previously micro census 2013).2018-8-6
2018-8-6The variable Virtual Sample Points (vpoint) has been added to the dataset.2018-8-6
2018-8-6The variable bik10 has been removed due to data protection.2018-8-6
Changes between version 3.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2018-8-6The respondent´s ID has been replaced by the variable lfdn "Laufende Nummer".2018-8-6
2018-8-6The variable q190z has been removed from the dataset.2018-8-6
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2017-11-28Control of interviewers resulted into the deletion of two observations.2017-11-28
2017-11-28ISCO-88 and ISCO-08 variables have been added.2017-11-28
2017-11-28Open answers of the most and the second most important problem are added in a csv-file.2017-11-28
2017-11-28Correction of variable and value labels.2017-11-28

Further Remarks

Number of Units: 2179
Number of Variables: 563 (+ 455 Zeitvariablen)
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.