GESIS - DBK - ZA5716
 

ZA5716: Candidate Campaign Survey 2013, Survey and Electoral/Structural Data (GLES)

Downloads and Data Access


On this page you find the complete metadata and an overview of all available data sets and documents for the requested study. The download of all files is possible from our central search page under the following link:
ZA5716 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5318_data_access.pdf (User Contract) 77 KBytes
  • ZA5318_Datenzugang.pdf (User Contract) 78 KBytes

Questionnaires

  • ZA5716_fb_v3-0-0.pdf (Questionnaire) 459 KBytes

Other Documents

  • ZA5716_sb_v3-0-0.pdf (Study Description) 355 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.
Download of Data and Documents Download of Data and Documents All downloads from this catalogue are free of charge. Data-sets available under access categories B and C must be ordered via the shopping cart with a few exceptions. Charges apply! Please respect our Terms of use.


Bibliographic Citation

Citation Citation GLES (2014): Candidate Campaign Survey 2013, Survey and Electoral/Structural Data (GLES). GESIS Data Archive, Cologne. ZA5716 Data file Version 3.0.0, https://doi.org/10.4232/1.12043
Study No.ZA5716
TitleCandidate Campaign Survey 2013, Survey and Electoral/Structural Data (GLES)
Current Version3.0.0, 2014-9-9, https://doi.org/10.4232/1.12043
Date of Collection16.10.2013 - 10.01.2014
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
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung - ProjectLeader
  • Giebler, Heiko - Wissenschaftszentrum Berlin für Sozialforschung - ProjectManager
  • Wagner, Aiko - Wissenschaftszentrum Berlin für Sozialforschung - ProjectMember
  • Kaukal, Malte - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator

Content

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

Methodology

Geographic Coverage
  • Germany (DE)
UniverseThe population comprises all candidates of political parties which were in represented in German Bundestag before 2013 Federal Election: SPD, CDU, CSU, Bündnis90/Die Grünen, FDP and Die Linke. These group was enlarged by candidates of the two biggest non-represented parties prior to the election, Piratenpartei and AfD. This restriction was based on considerations concerning surveying only information about candidates of parties which were relevant in the political process.
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 CollectorDatenerhebung Wissenschaftszentrum Berlin für Sozialforschung (WZB) Bamberg Center for Empirical Studies (BACES)
Date of Collection
  • 16.10.2013 - 10.01.2014

Errata & Versions

VersionDate, Name, DOI
3.0.0 (current version)2014-9-9 Release 3 https://doi.org/10.4232/1.12043
2.0.02014-8-8 Release2-0-0 https://doi.org/10.4232/1.12016
1.0.02014-3-11 Release1-0-0 https://doi.org/10.4232/1.11859
Errata in current version
DateSubjectDescription
2014-3-11Cut open answersDue to constraints by Stata all open answers were cut by 244 characters. For any analysis of open answers we strongly recommend to use the SPSS-datafile (".sav").
Version changes
Changes between version 3.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2014-9-9Coded open answers in e14c1 were added.2014-9-9
2014-9-9Wrong codings have been corrected in b3a-c. If given answers in b3b and b3c were identical to b3a they were recoded into zero.2014-9-9
2014-9-9Participants who made suggestions about supporter of their own party were recoded into -97 "not applicable". This concerns partymembers of the CDU who made suggestions about CSU supportes and vice versa, too.2014-9-9
2014-9-9Some given open answers didn´t differ from the provided answer options in semi-open questions. If no multiple answerering was intended the open answer was coded into -97 "not applicable" and the categorized answer was kept.2014-9-9
2014-9-9One participant (lfdn 113) had a system missing value in e9 and was coded into -92 "Error in data", because it is unclear what its original answer was.2014-9-9
2014-9-9Variablelabels and order of variables were corrected.2014-9-9
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2014-8-8Wrong match of electoral districts were corrected.2014-8-8
Changes between version 1.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2014-8-8Wrong match of election districtsUnfortunatley, 70 participants were matched with a electoral district they don´t belong to.2014-8-8

Further Remarks

Links
Number of Units: 1137
Number of Variables: 548
Analysis System(s): SPSS, Stata

Publications

Relevant full texts
from SSOAR (automatically assigned)

Groups

Research Data Centre
Groups
  •  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.
  • German Candidate Surveys