GESIS - DBK - ZA5703
 

ZA5703: Rolling Cross-Section Campaign Survey with Post-election Panel Wave (GLES 2013)

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  • ZA5703_missing_de.do (Dataset) 3 KBytes
  • ZA5703_missing_en.do (Dataset) 2 KBytes
  • ZA5703_v2-0-2_de.dta (Dataset Stata) 15 MBytes
  • ZA5703_v2-0-2_de.sav (Dataset SPSS) 11 MBytes
  • ZA5703_v2-0-2_en.dta (Dataset Stata) 15 MBytes
  • ZA5703_v2-0-2_en.sav (Dataset SPSS) 11 MBytes

Questionnaires

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  • ZA5703_fb.pdf (Questionnaire) 667 KBytes
  • ZA5703_q.pdf (Questionnaire) 692 KBytes

Other Documents

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  • ZA5700ff_GLES2013_Doku_insgesamt.zip (Codeplan) 138 KBytes
  • ZA5703_b.pdf (Report) 1 MByte
  • ZA5703_sb.pdf (Study Description) 675 KBytes
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Bibliographic Citation

Citation Citation GLES (2019): Rolling Cross-Section Campaign Survey with Post-election Panel Wave (GLES 2013). GESIS Data Archive, Cologne. ZA5703 Data file Version 2.0.2, https://doi.org/10.4232/1.13214
Study No.ZA5703
TitleRolling Cross-Section Campaign Survey with Post-election Panel Wave (GLES 2013)
Current Version2.0.2, 2019-2-5, https://doi.org/10.4232/1.13214
Date of Collection08.07.2013 - 03.11.2013
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
  • Schmitt-Beck, Rüdiger - Universität Mannheim - ProjectLeader
  • Partheymüller, Julia - Universität Mannheim - ProjectManager
  • Blumenberg, Manuela - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Förster, André - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Glinitzer, Konstantin - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator

Content

AbstractThe Rolling Cross-Section campaign study with a post-election panel wave realised by telephone interviews allows for analysing election campaign dynamics on a daily basis. Thus, even short-term effects can be made visible. Topics:
Topics Topics
  • 9.1 Information society
  • 9.2 Mass media
  • 11.5 Mass political behaviour, attitudes/opinion
  • 11.6 Government, political systems and organisation
  • 11.7 Elections
  • 17.5 Economic policy
  • 17.6 Economic systems and development

Methodology

Geographic Coverage
  • Germany (DE)
UniverseThe population comprises all German-speaking persons, whose residence is in the Federal Republic of Germany and who are eligible to vote in the federal election 2013 as well as living in private households with a landline.
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Probability: Stratified: Proportional
Mode of Collection Mode of Collection
  • Telephone interview: Computer-assisted (CATI)
Time Method Time Method
  • Cross-section
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorIpsos, Hamburg
Date of Collection
  • 08.07.2013 - 21.09.2013 (pre-election)
  • 23.09.2013 - 03.11.2013 (post-election (panel))

Errata & Versions

VersionDate, Name, DOI
2.0.2 (current version)2019-2-5 Release2-0-2 https://doi.org/10.4232/1.13214
2.0.12017-6-7 Release2-0-1 https://doi.org/10.4232/1.12811
2.0.02014-4-17 Release2-0-0 https://doi.org/10.4232/1.11892
1.0.02013-12-9 first archive edition https://doi.org/10.4232/1.11803
Errata in current version
none
Version changes
Changes between version 2.0.2 and it's previous version
DateSubjectDescriptionCorrection Description
2019-2-5Variable labels and value labels in the English data set have been adapted to the harmonized translation.2019-2-5

Further Remarks

Links
Number of Units: 7882 (5353 pre- and post-election; 2529 only pre-election)
Number of Variables: 613
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.