GESIS - DBK - ZA5322
 

ZA5322: Long-term Panel 2009-2013-2017 (GLES 2013)

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:
ZA5322 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5322_RecodeMissings.do (Dataset) 41 KBytes
  • ZA5322_RecodeMissings.sps (Dataset) 71 KBytes
  • ZA5322_v1-1-0.dta (Dataset Stata) 28 MBytes
  • ZA5322_v1-1-0.sav (Dataset SPSS) 26 MBytes

Questionnaires

  • ZA5322_Einzelfrageboegen.zip (Questionnaire) 6 MBytes
  • ZA5322_fb.pdf (Questionnaire) 4 MBytes

Other Documents

  • ZA5300-57_GLES_Doku_insgesamt.zip (Codeplan) 2 MBytes
  • ZA5700ff_GLES2013_Doku_insgesamt.zip (Codeplan) 138 KBytes
  • ZA5322_mb.pdf (Method Report) 3 MBytes
  • ZA5322_sb.pdf (Study Description) 2 MBytes
  • ZA5322_Variablensystematik_1994-2013.xlsx (Table) 10 MBytes
Availability Availability A - Data and documents are released for academic research and teaching.
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 (2016): Long-term Panel 2009-2013-2017 (GLES 2013). GESIS Data Archive, Cologne. ZA5322 Data file Version 1.1.0, https://doi.org/10.4232/1.12627
Study No.ZA5322
TitleLong-term Panel 2009-2013-2017 (GLES 2013)
Current Version1.1.0, 2016-9-9, https://doi.org/10.4232/1.12627
Date of Collection10.08.2009 - 11.12.2013
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
  • Blumenstiel, Jan Eric - Universität Mannheim - ProjectMember
  • Rudi, Tatjana - GESIS - Leibniz-Institut für Sozialwissenschaften - ProjectMember
  • Gummer, Tobias - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator

Content

Topics Topics
  • 9.2 Mass media
  • 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 persons who were german state residents,had a minimum age of 16 years and who lived in a German private household in 2009.
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Probability: Stratified: Disproportional
Mode of Collection Mode of Collection
  • Face-to-face interview: Computer-assisted (CAPI/CAMI)
  • Telephone interview: Computer-assisted (CATI)
  • Self-administered questionnaire: Paper
  • Self-administered questionnaire: Web-based (CAWI)
Time Method Time Method
  • Longitudinal: Panel
Kind of Data Kind of Data
  • Numeric
  • Text
Date of Collection
  • 10.08.2009 - 11.12.2013

Errata & Versions

VersionDate, Name, DOI
1.1.0 (current version)2016-9-9 Release1-1-0 https://doi.org/10.4232/1.12627
1.0.02014-10-22 Release1-0-0 https://doi.org/10.4232/1.12060
Errata in current version
none
Version changes
Changes between version 1.1.0 and it's previous version
DateSubjectDescriptionCorrection Description
2016-9-22Correction of variable labels: Participation variables h and iThe variable labels of the participation variables h and i were corrected.2016-9-22
2016-9-22Correction of variable labels: j69a/b, j70a/b (intention to vote and voting decision (first and second vote)) The variable labels of the cumulated variables regarding intention to vote and voting decision (first and second vote) in the federal election (wave j) were corrected (variables j69a, j69b, j70a, j70b).2016-9-22
2016-9-22Recoding of cases: jgebland_1 (country of birth)The coding of persons stating that they were born on the "former territory of the German Reich" in variable jgebland_1 was corrected.2016-9-22

Further Remarks

Links
Number of Units: 4974
Number of Variables: 1670
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.