GESIS - DBK - ZA5736
 

ZA5736: Long-term-Online-Tracking of State Election Bavaria 2013 (GLES)

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Bibliographic Citation

Citation Citation    Rattinger, Hans; Roßteutscher, Sigrid; Schmitt-Beck, Rüdiger; Weßels, Bernhard; Wolf, Christof; Bieber, Ina; Scherer, Philipp (2014): Long-term-Online-Tracking of State Election Bavaria 2013 (GLES). GESIS Data Archive, Cologne. ZA5736 Data file Version 2.0.0, https://doi.org/10.4232/1.12039
Study No.ZA5736
TitleLong-term-Online-Tracking of State Election Bavaria 2013 (GLES)
Current Version2.0.0, 2014-8-21, https://doi.org/10.4232/1.12039
Date of Collection30.08.2013 - 14.09.2013
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
  • Bieber, Ina - Universität Frankfurt
  • Scherer, Philipp - Universität Frankfurt

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
  • 17.6 Economic systems and development

Methodology

Geographic Coverage
  • Bavaria (DE-BY)
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 Bavaria and used at least once a week the Internet for private reasons. This group comprised nearly 5800 active Panel members in the LINK Internet Panel in Bavaria. 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
Sampling was based on a primary defined ratio schedule (sex, age, education).
Mode of Collection Mode of Collection
  • Self-administered questionnaire: Web-based (CAWI)
Online Survey with standardized questionnaires
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
  • 30.08.2013 - 14.09.2013

Errata & Versions

VersionDate, Name, DOI
2.0.0 (current version)2014-8-21 Release2-0-0 https://doi.org/10.4232/1.12039
1.0.02013-10-2 first archive edition https://doi.org/10.4232/1.11770
Errata in current version
DateSubjectDescription
2013-10-2Request of item C in variable l345 (own position, Bavaria) differs from position regarding political parties (see l342a-g, knowledge about positions III, Bavaria). Instead of asking for financial equalization scheme between the Federal Government and the Länder (=Länderfinanzausgleich), it was ask for opinion regarding abolishment of solidarity tax. Therefore you cannot compare own position of people with position of political parties with regard to this topic.
2014-8-22Due to the transformation into a STATA File ".dta", all open answers were cut to 244 characters. Thus, we strongly recommend to use SPSS datasets for anlysis of open answers only.
Version changes
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2014-8-22Coded open answers of l25s "Most important problem", l27 "Second most important problem". l96s "Most important problem, federal election" and l98s ""Second most important problem, federal election" have been added. The coding scheme can be downloaded from GLES Microsite at GESIS (http://www.gesis.org/gles).2014-8-22

Further Remarks

Links
Number of Units: 532
Number of Variables: 783
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 Bavaria