GESIS - DBK - ZA5755

ZA5755: Short-term Campaign Panel 2013 – Control Group III (to Panel Wave 7) (GLES)

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ZA5755 Downloads and Data Access

List of Files

List of Files


  • (Dataset) 37 KBytes
  • (Dataset) 37 KBytes
  • ZA5755_en_v3-1-0.dta (Dataset Stata) 4 MBytes
  • ZA5755_en_v3-1-0.sav (Dataset SPSS) 3 MBytes
  • (Dataset) 3 KBytes
  • (Dataset) 2 KBytes
  • ZA5755_v3-1-0.dta (Dataset Stata) 4 MBytes
  • ZA5755_v3-1-0.sav (Dataset SPSS) 3 MBytes


  • ZA5755_fb.pdf (Questionnaire) 1 MByte
  • ZA5755_q.pdf (Questionnaire) 775 KBytes

Other Documents

  • (Codeplan) 138 KBytes
  • ZA5755_sb.pdf (Study Description) 680 KBytes
Availability Availability A - Data and documents are released for academic research and teaching.
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Bibliographic Citation

Citation Citation GLES (2016): Short-term Campaign Panel 2013 – Control Group III (to Panel Wave 7) (GLES). GESIS Data Archive, Cologne. ZA5755 Data file Version 3.1.0,
Study No.ZA5755
TitleShort-term Campaign Panel 2013 – Control Group III (to Panel Wave 7) (GLES)
Current Version3.1.0, 2016-4-27,
Date of Collection24.09.2013 - 03.10.2013
Principal Investigator/ Authoring Entity, Institution
  • Rattinger, Hans - Universität Mannheim
  • Roßteutscher, Sigrid - Universität Frankfurt
  • Schmitt-Beck, Rüdiger - Universität Mannheim
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung
  • Wolf, Christof - GESIS - Leibniz-Institut für Sozialwissenschaften
Contributor, Institution, Role
  • Rattinger, Hans - Universität Mannheim - ProjectLeader
  • Wiegand, Elena - Universität Mannheim - ProjectManager
  • Plischke, Thomas - Universität Mannheim - ProjectMember
  • Kaukal, Malte - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator


  • Media
  • Political behaviour and attitudes
  • Government, political systems and organisations
  • Elections
  • Economic systems and development
Old Topics Old Topics
  • 9.2 Mass media
  • 11.5 Mass political behaviour, attitudes/opinion
  • 11.6 Government, political systems and organisation
  • 11.7 Elections
  • 17.6 Economic systems and development


Geographic Coverage
  • Germany (DE)
UniverseThe universe of the sample was comprised of the Online-Access-Panel conducted by Respondi AG. This panel included 96,445 active members in 2013. The members of the Access-Panel 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 CollectorBamberg Center for Empirical Studies (BACES), Bamberg
Date of Collection
  • 24.09.2013 - 03.10.2013

Errata & Versions

VersionDate, Name, DOI
3.1.0 (current version)2016-4-27 Release3-1-0
3.0.02015-1-26 Release3-0-0
2.0.02014-6-3 Release2-0-0
1.0.02013-11-13 first archive edition
Errata in current version
2013-11-13Cut open answersDue to the transformation into a STATA File ".dta", all open answers (kp7_840s, kp7_860s, kp7_4230s, kp7_4270s) were cut to 244 characters. Thus, we strongly recommend to use SPSS datasets for anlysis of open answers only.
Version changes
Changes between version 3.1.0 and it's previous version
DateSubjectDescriptionCorrection Description
2016-4-28In variable kp7_3591 the coding was twisted and have been corrected.2016-4-28
Changes between version 3.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2015-1-27Due to a better comparability several variables were renamed. If the wording and the answer options differ, but have the same variable name as in 2009, the variable was given a new name. If the questions were collected totally equal but had erroneously different variablenames, they have been renamed into the version of 2009. See study description.2015-1-27
2015-1-27Suffixes of the variables "kp7_661", "kp7_650" and "kp7_261" were adjusted to their use in 2009. 2015-1-27
2015-1-27The suffix “a” of the variable kp7_341a” was renamed to “j”, as there were two separate question concerning the party CDU/CSU in 2009.2015-1-27
2015-1-27The data quality indicators “kp7_itnrp”, “kp7_strl”, “kp7_mtime”, “kp7_mtimex” and “kp7_dokn” were added to the data set.2015-1-27
2015-1-27The dataset and questionnaire are now also available in English.2015-1-27
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description

Further Remarks

Number of Units: 1186
Number of Variables: 759
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.