GESIS - DBK - ZA6805

ZA6805: Short-term Campaign Panel 2017 – Control Group I (to Panel Wave 4) (GLES)

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List of Files

List of Files


  • (Dataset) 36 KBytes
  • (Dataset) 2 KBytes
  • ZA6805_missing.sps (Dataset) 1 KByte
  • ZA6805_open-ended_v2-0-0.csv (Dataset) 85 KBytes
  • ZA6805_timestamps_v2-0-0.dta (Dataset Stata) 501 KBytes
  • ZA6805_timestamps_v2-0-0.sav (Dataset SPSS) 835 KBytes
  • ZA6805_v2-0-0.dta (Dataset Stata) 895 KBytes
  • ZA6805_v2-0-0.sav (Dataset SPSS) 1 MByte
  • ZA6805_v2-0-0_en.dta (Dataset Stata) 1 MByte
  • ZA6805_v2-0-0_en.sav (Dataset SPSS) 1 MByte
  • ZA6805_Zeitvariablen_v2-0-0.dta (Dataset Stata) 501 KBytes
  • ZA6805_Zeitvariablen_v2-0-0.sav (Dataset SPSS) 835 KBytes
  • (Dataset) 2 KBytes
  • ZA6805_Zeitvariablen_zuspielen.sps (Dataset) 2 KBytes


  • ZA6805_Bildschirmansichten_KQSI.pdf (Questionnaire) 6 MBytes
  • ZA6805_fb.pdf (Questionnaire) 778 KBytes
  • ZA6805_q.pdf (Questionnaire) 690 KBytes

Other Documents

  • (Codeplan) 705 KBytes
  • ZA6805_sb.pdf (Study Description) 1 MByte
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Bibliographic Citation

Citation Citation GLES (2019): Short-term Campaign Panel 2017 – Control Group I (to Panel Wave 4) (GLES). GESIS Data Archive, Cologne. ZA6805 Data file Version 2.0.0,
Study No.ZA6805
TitleShort-term Campaign Panel 2017 – Control Group I (to Panel Wave 4) (GLES)
Current Version2.0.0, 2019-12-11,
Date of Collection06.07.2017 - 17.07.2017
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
  • Kratz, Agatha - Universität Mannheim - ProjectMember
  • Wuttke, Alexander - Universität Mannheim - ProjectMember
  • Manger, Lea - Universität Mannheim - ProjectMember
  • Blinzler, Katharina - 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 and the Control Groups 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. Only members of the GapFish panel were surveyed in Control Group I.
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 CollectorUniversity of Mannheim, Chair for Political Psychology
Date of Collection
  • 06.07.2017 - 17.07.2017

Errata & Versions

VersionDate, Name, DOI
2.0.0 (current version)2019-12-11 Release 2.0.0
1.0.02018-2-22 first archive edition
Errata in current version
Version changes
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2019-12-12For the allocation to constituencies the variables elecdist, elecdist1, elecdist2, elecdist3 and elecdist4 were newly created with the Stata-Ado "plztowknr". The variables now refer to the 2017 territorial status.2019-12-12
2019-12-12Post-stratification weights (wei_mzmz wei_mzoz) have been recalculated based on the marginal distributions from the German micro census 2016.2019-12-12
2019-12-12Open answers were coded by BACES and included in the dataset(kp4_840_c1-c5, kp4_860_c1-c5). In addition, the variables with open answers were checked for sensitive information and published in a separate .csv file.2019-12-12
2019-12-12The numerical variable study contains the (ZA-)study number of the data set in four-digit format. In addition to the ZA-number, the value label now also specifies the title of the respective study.2019-12-12
2019-12-12The numerical variable "sample" is used to allocate respondents to their sample or survey group. This variable is newly introduced for all GLES studies and harmonizes these information.2019-12-12
2019-12-12In the string variable field_start the date of the first day of the survey is stored in the format ´YYYYY-MM-DD´. In the string variable field_end the date of the last day of the survey is stored in the format ´YYYYY-MM-DD´. They replace the variable field, in which this information was previously summarized.2019-12-12
2019-12-12The variables kp4_field, year and survey have been dropped. The information can be found in the variables study and sample or in the study description.2019-12-12
2019-12-12An English version of the data set, the timestamps and the questionnaire were published.2019-12-12
2019-12-12The name of the variable kp4_650x "Scalometer Politician: Frauke Petry" has been changed to kp4_650p in accordance with the naming of the variable in the campaign panel.2019-12-12

Further Remarks

Number of Units: 1181
Number of Variables: 301 (+ 209 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.