GESIS - DBK - ZA5717

ZA5717: European Parliament Election Study 2014, Candidate Survey (GLES)

Downloads and Data Access

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ZA5717 Downloads and Data Access

List of Files

List of Files


  • ZA5318_data_access.pdf (User Contract) 47 KBytes
  • ZA5318_Datenzugang.pdf (User Contract) 78 KBytes


  • ZA5717_fb.pdf (Questionnaire) 408 KBytes

Other Documents

  • ZA5717_sb.pdf (Study Description) 328 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 (2016): European Parliament Election Study 2014, Candidate Survey (GLES). GESIS Data Archive, Cologne. ZA5717 Data file Version 2.0.0,
Study No.ZA5717
TitleEuropean Parliament Election Study 2014, Candidate Survey (GLES)
Current Version2.0.0, 2016-1-13,
Date of Collection18.03.2015 - 15.06.2015
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
  • Giebler, Heiko - Wissenschaftszentrum Berlin für Sozialforschung - ProjectManager
  • Melcher, Reinhold - Wissenschaftszentrum Berlin für Sozialforschung - ProjectMember
  • Wagner, Aiko - Wissenschaftszentrum Berlin für Sozialforschung - ProjectMember
  • Kaukal, Malte - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator


Topics Topics
  • 11.5 Mass political behaviour, attitudes/opinion
  • 11.6 Government, political systems and organisation
  • 11.7 Elections


Geographic Coverage
  • Germany (DE)
UniverseThe survey focused on candidates of german established parties (SPD, CDU, CSU, Bündnis90/Die Grünen, FDP, Die Linke) and new ones (Piratenpartei, AfD). This selection is due to financial restraints and, moreover, to the aim to gather more information about candidates of parties being relevant to the political process. Therefore, the universe consists of 564 candidates.
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
  • 18.03.2015 - 15.06.2015

Errata & Versions

VersionDate, Name, DOI
2.0.0 (current version)2016-1-13 Release2-0-0
1.0.02015-10-1 first archive edition
Errata in current version
Version changes
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2016-1-14b6a-b6c have been recoded. "No answer" (Code -99) has been recoded into zero if the remaining answers concerning the campaign budget sum up to 100 percent. 2016-1-14
2016-1-14b6a-b6c have been recoded into -97 ("not applicable") if the respondents answer was zero euro in b5 ("Election campaign: budget").2016-1-14
2016-1-14e12a-e12f containing birth years of further household members have been recoded. Now, they are in a descending order from old to young. Additionally, e12 has been added which contains the number of further household members.2016-1-14
2016-1-14Because of the 75% criterium of inclusion all respondents with less than 75% valid answers had been dropped from the dataset. Unfortunately, the syntax being used accounted for two variables which have administrative purpose only. In correcting the error, two more respondents have been added to the dataset. Therefore, there are 208 oberservations instead of 206.2016-1-14

Further Remarks

Number of Units: 208
Number of Variables: 243
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.