GESIS - DBK - ZA5738
 

ZA5738: Long-term-Online-Tracking of State Election Saxony 2014 (GLES)

Downloads and Data Access


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ZA5738 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5738_missing_v2-0-0.do (Dataset) 2 KBytes
  • ZA5738_v2-0-0.dta (Dataset Stata) 1 MByte
  • ZA5738_v2-0-0.sav (Dataset SPSS) 1 MByte

Questionnaires

  • ZA5738_fb.pdf (Questionnaire) 878 KBytes

Other Documents

  • ZA5700ff_GLES2013_Doku_insgesamt.zip (Codeplan) 138 KBytes
  • ZA5738_sb.pdf (Study Description) 893 KBytes
Availability Availability A - Data and documents are released for academic research and teaching.
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Bibliographic Citation

Citation Citation GLES (2015): Long-term-Online-Tracking of State Election Saxony 2014 (GLES). GESIS Data Archive, Cologne. ZA5738 Data file Version 2.0.0, https://doi.org/10.4232/1.12283
Study No.ZA5738
TitleLong-term-Online-Tracking of State Election Saxony 2014 (GLES)
Current Version2.0.0, 2015-7-2, https://doi.org/10.4232/1.12283
Date of Collection15.08.2014 - 30.08.2014
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
  • Roßteutscher, Sigrid - Universität Frankfurt - ProjectLeader
  • Henckel, Simon - Universität Frankfurt - ProjectManager
  • Bieber, Ina - Universität Frankfurt - ProjectMember
  • Scherer, Philipp - Universität Frankfurt - ProjectMember
  • Kaukal, Malte - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Roßmann, Joss - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator

Content

Categories Categories
  • Political Attitudes and Behavior
  • Political Issues
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
  • Saxony (DE-SN)
UniverseThe population comprises all persons with German citizenship resident in the Federal Republic of Germany and being part of the LINK Internet Panel, who had a minimum age of 18 years, who lived in Saxony and used at least once a week the Internet for private reasons. This group comprised nearly 2500 active Panel members in the LINK Internet Panel in Saxony. Active Panel members are defined as persons who filled in master data survey after recruitment by phone (Double-op-in-Registration) and who participated at a minimum surveys of one 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
  • Cross-section
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorLINK Institute for Market and Social Science Research, Frankfurt am Main
Date of Collection
  • 15.08.2014 - 30.08.2014

Errata & Versions

VersionDate, Name, DOI
2.0.0 (current version)2015-7-2 Release2-0-0 https://doi.org/10.4232/1.12283
1.0.02014-10-13 Release1-0-0 https://doi.org/10.4232/1.12047
Errata in current version
DateSubjectDescription
2014-10-15The addition "BTW 2013" in the variable labels l8 to l10 is wrong. Actually, they concern to a fictive upcomming election.
Version changes
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2015-7-2Weights adjusting to the online population based on the (N)Onliner Atlas 2014 have been added.2015-7-2
2015-7-2Corrections in the questionaire2015-7-2

Further Remarks

Links
NotesThe weights adjusting for the online population will be published later because the marginal distributions of the (N)OnlinerAtlas 2014 were not available at the the time of release.
Number of Units: 503
Number of Variables: 738
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.
  • State Elections in Saxony