GESIS - DBK - ZA5304
 

ZA5304: Multi Level Panel (GLES 2009)

Downloads and Data Access


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ZA5304 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5304_v2-1-0.dta (Dataset Stata) 28 MBytes
  • ZA5304_v2-1-0.sav (Dataset SPSS) 25 MBytes

Questionnaires

  • ZA5304_fb_Welle1_v2-1-0.pdf (Questionnaire) 494 KBytes
  • ZA5304_fb_Welle2_v2-1-0.pdf (Questionnaire) 470 KBytes
  • ZA5304_fb_Welle3_v2-1-0.pdf (Questionnaire) 445 KBytes

Other Documents

  • ZA5300-57_GLES_Doku_insgesamt.zip (Other Document) 2 MBytes
  • ZA5304_sb_v2-1-0.pdf (Study Description) 317 KBytes
Availability Availability A - Data and documents are released for academic research and teaching.
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Bibliographic Citation

Citation Citation Rattinger, Hans; Roßteutscher, Sigrid; Schmitt-Beck, Rüdiger; Weßels, Bernhard (2010): Multi Level Panel (GLES 2009). GLES. GESIS Data Archive, Cologne. ZA5304 Data file Version 2.1.0, https://doi.org/10.4232/1.10363
Study No.ZA5304
TitleMulti Level Panel (GLES 2009)
Other Titles
  • German Longitudinal Election Study (Project Title)
Current Version2.1.0, 2010-10-4, https://doi.org/10.4232/1.10363
Date of Collection27.05.2009 - 27.09.2009
Principal Investigator/ Authoring Entity, Institution
  • Rattinger, Hans - Universität Mannheim
  • Roßteutscher, Sigrid - Universität Frankfurt
  • Schmitt-Beck, Rüdiger - Universität Mannheim
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung
Contributor, Institution, Role
  • Roßteutscher, Sigrid - Universität Frankfurt - ProjectLeader
  • Bieber, Ina - Universität Frankfurt - ProjectManager
  • Bytzek, Evelyn - Universität Frankfurt - ProjectMember
  • Scherer, Philipp - Universität Frankfurt - ProjectMember
  • Fürnberg, Ossip - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Kulick, Manuela - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator

Content

Categories Categories
  • Political Attitudes and Behavior
Topics Topics
  • 9.2 Mass media
  • 11.2 International politics and organisation
  • 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 participants of the Online-Access-Panel from Respondi AG. This group comprised nearly 65000 active Panel members in 2009. Active Panel members are defined by Respondi as those persons who filled in basic claims data after their registration (Double-opt-in) and who participated at at least one survey in the last twelve month.
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Non-probability: Quota
Mode of Collection Mode of Collection
  • Self-administered questionnaire: Web-based (CAWI)
Time Method Time Method
  • Longitudinal: Panel
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorBamberg Center for Empirical Studies (BACES)
Date of Collection
  • 27.05.2009 - 07.06.2009
  • 16.06.2009 - 22.06.2009
  • 21.08.2009 - 31.08.2009
  • 18.09.2009 - 27.09.2009

Errata & Versions

VersionDate, Name, DOI
2.1.0 (current version)2010-10-4 Pre-Release1.2 https://doi.org/10.4232/1.10363
2.0.02010-7-13 Pre-Release1.1 https://doi.org/10.4232/1.10362
1.0.02010-4-28 Pre-Release1.0 https://doi.org/10.4232/1.10361
Errata in current version
none
Version changes
Changes between version 2.1.0 and it's previous version
DateSubjectDescriptionCorrection Description
2010-10-4Socio-demographic data of Schleswig-Holstein boost has been updated.--
2010-10-4Correction of sample variable “Stichproben”.--
2010-10-4Update and extension of method report.--
2010-10-4Correction of variable names: Some variables contained a full stop in their names, causing SPSS to print error messages. Now, the full stops are substituted by underlines. --
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2010-7-13Extension of MLP by waves 2 and 3, including boost for Schleswig-Holstein.--
2010-7-13Complete coding of open questions (variables: M1_a03, M1_a05, M1_a34, M1_e56).--

Further Remarks

Links
Number of Units: 3737
Number of Variables: 3796
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.