GESIS - DBK - ZA6814

ZA6814: Candidate Campaign Survey (GLES 2017)

Downloads and Data Access

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ZA6814 Downloads and Data Access

List of Files

List of Files


  • ZA5318_data_access.pdf (User Contract) 64 KBytes
  • ZA5318_Datenzugang.pdf (User Contract) 67 KBytes


  • ZA6814_fb.pdf (Questionnaire) 525 KBytes

Other Documents

  • ZA6814_sb.pdf (Study Description) 701 KBytes
Availability Availability C - Data and documents are only released for academic research and teaching after the data depositor’s written authorization. For this purpose the Data Archive obtains a written permission with specification of the user and the analysis intention.
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Bibliographic Citation

Citation Citation GLES (2018): Candidate Campaign Survey (GLES 2017). GESIS Data Archive, Cologne. ZA6814 Data file Version 3.0.0,
Study No.ZA6814
TitleCandidate Campaign Survey (GLES 2017)
Current Version3.0.0, 2018-8-21,
Date of Collection25.10.2017 - 07.02.2018
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
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung - ProjectLeader
  • Melcher, Reinhold - Wissenschaftszentrum Berlin für Sozialforschung - ProjectManager
  • Giebler, Heiko - Wissenschaftszentrum Berlin für Sozialforschung - ProjectMember
  • Wagner, Aiko  - Wissenschaftszentrum Berlin für Sozialforschung - ProjectMember
  • Kratz, Agatha - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator


Geographic Coverage
  • Germany (DE)
UniverseThe frame population is restricted to candidates of parties that were members of the German Bundestag prior to the 2017 general election: SPD, CDU, CSU, Bündnis90/Die Grünen and Die Linke. These were complemented by candidates of the, according to pre-election surveys, biggest non-parliamentary parties FDP and AfD.
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Total universe/Complete enumeration
Mode of Collection Mode of Collection
  • Self-administered questionnaire: Paper
  • Self-administered questionnaire: Web-based (CAWI)
Time Method Time Method
  • Cross-section
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorBerlin Social Science Center (WZB)
Date of Collection
  • 25.10.2017 - 07.02.2018

Errata & Versions

VersionDate, Name, DOI
3.0.0 (current version)2018-8-21 Release3-0-0
2.0.02018-7-23 Release2-0-0
1.0.02018-3-21 Pre-Release
Errata in current version
Version changes
Changes between version 3.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2018-8-21The erroneous variables wk_gewinner13 and wk_gewinner17 have been deleted. These two variables incorrectly indicated which party won in each constituency and not whether or not the candidate won in that constituency. A new variable wk_gewinner "Constituency winner 2017" has been generated, which indicates whether a candidate has won the constituency.2018-8-21
2018-8-2112 new variables have been added to the dataset, containing first and second vote share of the candidate on the constituency, state and country level for 2013 and 2017.2018-8-21
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2018-7-23The erroneous post-stratification weight for mandate holders wei_mdb has been corrected.2018-7-23
2018-7-23Codings of open answers on the most important problem (c1as, c1bs, c1cs), local campaign topics (b10s) and job titles (e12s) have been added.2018-7-23
2018-7-23The values of the variable gewählt have been abdjusted.2018-7-23
2018-7-23Letter suffixes for variables b7, b11, b20, e1 and e12 have been assigned according to their sequence in the questionnaire. In version 1.0.0, the suffixes had yet been assigned analogous to the equivalent variables in the candidate study 2013.2018-7-23
2018-7-23The labels of the variables b11i (b11d in version 1.0.0), e11as and e11bs have been corrected/specified.2018-7-23

Further Remarks

Number of Units: 803
Number of Variables: 577
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.