GESIS - DBK - ZA6807

ZA6807: Short-term Campaign Panel 2017 – Control Group III (to Panel Wave 8) (GLES)

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List of Files

List of Files


  • (Dataset) 36 KBytes
  • (Dataset) 2 KBytes
  • ZA6807_missing.sps (Dataset) 1 KByte
  • ZA6807_open-ended_v2-0-0.csv (Dataset) 143 KBytes
  • ZA6807_timestamps_v2-0-0.dta (Dataset Stata) 595 KBytes
  • ZA6807_timestamps_v2-0-0.sav (Dataset SPSS) 1020 KBytes
  • ZA6807_v2-0-0.dta (Dataset Stata) 972 KBytes
  • ZA6807_v2-0-0.sav (Dataset SPSS) 1 MByte
  • ZA6807_v2-0-0_en.dta (Dataset Stata) 1 MByte
  • ZA6807_v2-0-0_en.sav (Dataset SPSS) 1 MByte
  • ZA6807_Zeitvariablen_v2-0-0.dta (Dataset Stata) 595 KBytes
  • ZA6807_Zeitvariablen_v2-0-0.sav (Dataset SPSS) 1019 KBytes
  • (Dataset) 2 KBytes
  • ZA6807_Zeitvariablen_zuspielen.sps (Dataset) 2 KBytes


  • ZA6807_Bildschirmansichten_KQSIII.pdf (Questionnaire) 6 MBytes
  • ZA6807_fb.pdf (Questionnaire) 788 KBytes
  • ZA6807_q.pdf (Questionnaire) 876 KBytes

Other Documents

  • (Codeplan) 705 KBytes
  • ZA6807_sb.pdf (Study Description) 1 MByte
Availability Availability A - Data and documents are released for academic research and teaching.
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Bibliographic Citation

Citation Citation GLES (2019): Short-term Campaign Panel 2017 – Control Group III (to Panel Wave 8) (GLES). GESIS Data Archive, Cologne. ZA6807 Data file Version 2.0.0,
Study No.ZA6807
TitleShort-term Campaign Panel 2017 – Control Group III (to Panel Wave 8) (GLES)
Current Version2.0.0, 2019-12-11,
Date of Collection27.09.2017 - 09.10.2017
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
  • Kratz, Agatha - Universität Mannheim - ProjectMember
  • Wuttke, Alexander - 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.
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
  • 27.09.2017 - 09.10.2017

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
2018-2-26Programming error kpx_2291, kpx_2290All 16 respondents who were born after December 31, 1998, erroneously were screened out.
2018-2-26Filter error kp8_1681, kp8_1661Due to unclear circumstances, 1 respondent in kp8_1681a-f and 1 respondent in kp8_1661a-h were not directed to the follow-up request, although they had not moved the sliders.
2018-2-26Filter error kp8_1933Due to unclear circumstances, 6 respondents in kp8_1933 were not directed to the follow-up request, although they had not moved the slider.
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(kp8_840_c1-c5, kp8_860_c1-c5, kp8_260_c1-c3). 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 kp8_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 kp8_650x "Scalometer Politician: Frauke Petry" has been changed to kp8_650p in accordance with the naming of the variable in the campaign panel. 2019-12-12
2019-12-12The name of the variable kp8_262s "Reasons for voting decision" has been changed to kp8_260s in accordance with the naming of the variable in the campaign panel.2019-12-12
2019-12-12The name of the variable kp8_250 "Reasons for decision not to vote" has been changed to kp8_252 in accordance with the naming of the variable in the campaign panel.2019-12-12
2019-12-12The names of the variables kp8_352aa-bb "Recall previous federal election" has been changed to kp8_350aa-bb in accordance with the naming of the variables in the campaign panel.2019-12-12

Further Remarks

Number of Units: 1156
Number of Variables: 343 (+ 255 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.