GESIS - DBK - ZA5759
 

ZA5759: Intermediate inquiry 2015 of Long-term Panel started in 2005,2009 and 2013 and of Short-term Campaign Panel 2013 (GLES)

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ZA5759 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5759_missing.do (Dataset) 2 KBytes
  • ZA5759_open-ended_v1-0-0.xls (Dataset) 486 KBytes
  • ZA5759_v1-0-0.dta (Dataset Stata) 5 MBytes
  • ZA5759_v1-0-0.sav (Dataset SPSS) 3 MBytes

Questionnaires

  • ZA5759_fb.pdf (Questionnaire) 409 KBytes

Other Documents

  • ZA5300-57_GLES_Doku_insgesamt.zip (Codeplan) 2 MBytes
  • ZA5700ff_GLES2013_Doku_insgesamt.zip (Codeplan) 138 KBytes
  • ZA5759_Bildschirmansichten_LFP.pdf (Other Document) 4 MBytes
  • ZA5759_Bildschirmansichten_WKP.pdf (Other Document) 1 MByte
  • ZA5759_sb.pdf (Study Description) 437 KBytes
Availability Availability A - Data and documents are released for academic research and teaching.
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Bibliographic Citation

Citation Citation GLES (2016): Intermediate inquiry 2015 of Long-term Panel started in 2005,2009 and 2013 and of Short-term Campaign Panel 2013 (GLES). GESIS Data Archive, Cologne. ZA5759 Data file Version 1.0.0, https://doi.org/10.4232/1.12491
Study No.ZA5759
TitleIntermediate inquiry 2015 of Long-term Panel started in 2005,2009 and 2013 and of Short-term Campaign Panel 2013 (GLES)
Current Version1.0.0, 2016-3-15, https://doi.org/10.4232/1.12491
Date of Collection29.09.2015 - 07.01.2016
Principal Investigator/ Authoring Entity, Institution
  • Roßteutscher, Sigrid - Universität Frankfurt
  • Schmitt-Beck, Rüdiger - Universität Mannheim
  • Schoen, Harald - Universität Mannheim
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung
  • Wolf, Christof - GESIS - Leibniz-Institut für Sozialwissenschaften
Contributor, Institution, Role
  • Schoen, Harald - Universität Mannheim - ProjectLeader
  • Preißinger, Maria - Universität Mannheim - ProjectManager
  • Rudnik, Agatha - Universität Mannheim - ProjectMember
  • Kaukal, Malte - 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)
UniverseEvery particpant of the Long-term Panel 2009-2013-2017 or of the Cross Section 2013 (GLES) who agreed to be interviewed again. Furthermore, the Long-term Panel 2009-2013-2017 was restocked with particpants of the Long-term Panel 2005-2009-2013. Finally, every participant of the Short-term Campaign Panel 2013 who attented to at least three waves was invited as well.
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Probability: Stratified: Disproportional
  • Non-probability: Quota
Mode of Collection Mode of Collection
  • Self-administered questionnaire: Paper
  • Telephone interview: Computer-assisted (CATI)
  • Self-administered questionnaire: Web-based (CAWI)
Time Method Time Method
  • Longitudinal: Panel
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorFoerster & Thelen Marktforschung Feldservice GmbH, Bochum, and respondi AG, Cologne.
Date of Collection
  • 29.09.2015 - 07.01.2016

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2016-3-15 first archive edition https://doi.org/10.4232/1.12491
Errata in current version
DateSubjectDescription
2016-3-15The dynamic filter of "v21a,b" (multiple party identification) could have been used in the online survey only. The Self-directed paper-based survey did not allow for such a filter due to its conduction mode. Thus, independent of the answer given in "v19a,b" all parties in "v21a,b" were able to be selected. Furthermore, because of using CATI software to implement paper-based answers the dynamic filter could not be used in CATI mode, either. Additionally, in CATI participants were able to name the connected parties CDU/CSU seperatly.
2016-3-15The variable "v4a-d" was asked with a reversed scale in the Short-term Campaign Panel 2013 ("kpX_2860a-f"). This should be taken into account in case of merging the data.
2016-3-15Due to data transformation into Stata 12 all strings ("v34s") are cut by 244 characters. For any analysis of the open comments use „ZA5759_v1-0-0_open-ended.xls“ .
Version changes

Further Remarks

Links
Number of Units: 5164
Number of Variables: 146
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.