GESIS - DBK - ZA7707
 

ZA7707: GLES Tracking April 2021, T49

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ZA7707 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA7707_missing.do (Dataset) 2 KBytes
  • ZA7707_missing.sps (Dataset) 1 KByte
  • ZA7707_v1-0-0.dta (Dataset Stata) 954 KBytes
  • ZA7707_v1-0-0.sav (Dataset SPSS) 920 KBytes
  • ZA7707_v1-0-0_open-ended.csv (Dataset) 47 KBytes

Questionnaires

  • ZA7707_fb.pdf (Questionnaire) 837 KBytes

Other Documents

  • ZA7707_sb.pdf (Study Description) 747 KBytes
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Bibliographic Citation

Citation Citation GLES (2021): GLES Tracking April 2021, T49. GESIS Data Archive, Cologne. ZA7707 Data file Version 1.0.0, https://doi.org/10.4232/1.13739
Study No.ZA7707
TitleGLES Tracking April 2021, T49
Current Version1.0.0, 2021-5-25, https://doi.org/10.4232/1.13739
Date of Collection22.04.2021 - 30.04.2021
Principal Investigator/ Authoring Entity, Institution
  • Debus, Marc - Universität Mannheim
  • Faas, Thorsten - Freie Universität Berlin
  • Roßteutscher, Sigrid - Goethe-Universität Frankfurt am Main
  • Schoen, Harald - Universität Mannheim
Contributor, Institution, Role
  • Roßteutscher, Sigrid - Goethe-Universität Frankfurt am Main - ProjectLeader
  • Blumenberg, Manuela - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectLeader
  • Blumenberg, Manuela - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectManager
  • Dietz, Melanie - Goethe-Universität Frankfurt am Main - ProjectMember
  • Scherer, Philipp - Goethe-Universität Frankfurt am Main - ProjectMember
  • Stövsand, Lars-Christopher - Goethe-Universität Frankfurt am Main - ProjectMember
  • Jungmann, Nils - GESIS – Leibniz-Institut für Sozialwissenschaften - DataCurator

Methodology

Geographic Coverage
  • Germany (DE)
UniverseThe population of the GLES tracking consists of citizens of the Federal Republic of Germany who were eligible to vote in elections to the German Bundestag at the time of the survey, i.e. German citizens who had reached the age of 18 at the time of the survey. Since the data was collected using computer-aided web interviews (CAWI), not all citizens who were eligible to participate also had a chance different from zero of being selected for the survey. The frame population therefore only includes active participants in the Online-Access-Panel operated by respondi AG who were German citizens and who had reached the age of 18 at the time the study was conducted.
Data CollectorGESIS – Leibniz Institute for the Social Sciences
Date of Collection
  • 22.04.2021 - 30.04.2021

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2021-5-25 first archive edition https://doi.org/10.4232/1.13739
Errata in current version
DateSubjectDescription
2021-5-25Filter error t47Due to a filtering error, six respondents were not able to answer and were therefore coded -92 "Error in data".
2021-5-25Filter error t48Due to a filtering error, six respondents were not able to answer and were therefore coded -92 "Error in data".
2021-5-25Programming error t68Due to a programming error, two respondents were able to select a closed response option and also give a (different) open answer. They were therefore coded -92 "Error in data" on this variable.
2021-5-25Programming error t67Due to a programming error, one respondent was able to select a closed response option and also give a (different) open answer. They were therefore coded -92 "Error in data" on this variable.
2021-5-25NoteFor data protection reasons, individuals who indicated "diverse" as gender (t1) were randomly assigned to one of the two remaining categories "male" or "female." In addition, respondents aged (t2) 75 or older were grouped into one age category. For more information, see the notes on the entries in the questionnaire documentation. An overview of unpublished variables is provided in Table 19 of the study description.
Version changes

Further Remarks

Number of Units: 431
Number of Variables: 1095
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.