GESIS - DBK - ZA5324
 

ZA5324: Long-term-Online-Tracking of State Election North Rhine-Westphalia 2010 (GLES 2009)

Downloads and Data Access


On this page you find the complete metadata and an overview of all available data sets and documents for the requested study. The download of all files is possible from our central search page under the following link:
ZA5324 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5324_v2-0-0.dta (Dataset Stata) 2 MBytes
  • ZA5324_v2-0-0.sav (Dataset SPSS) 2 MBytes

Questionnaires

  • ZA5324_fb_v2-0-0.pdf (Questionnaire) 360 KBytes

Other Documents

  • ZA5300-57_GLES_Doku_insgesamt.zip (Other Document) 2 MBytes
  • ZA5324_Aenderungen_v1-0-0_zu_v2-0-0.pdf (Other Document) 27 KBytes
  • ZA5324_sb_v2-0-0.pdf (Study Description) 235 KBytes
  • ZA5324_Variablenlabels_v2-0-0.pdf (Other Document) 147 KBytes
Availability Availability A - Data and documents are released for academic research and teaching.
Download of Data and Documents Download of Data and Documents All downloads from this catalogue are free of charge. Data-sets available under access categories B and C must be ordered via the shopping cart with a few exceptions. Charges apply! Please respect our Terms of use.


Bibliographic Citation

Citation Citation GLES (2013): Long-term-Online-Tracking of State Election North Rhine-Westphalia 2010 (GLES 2009). GESIS Data Archive, Cologne. ZA5324 Data file Version 2.0.0, https://doi.org/10.4232/1.11504
Study No.ZA5324
TitleLong-term-Online-Tracking of State Election North Rhine-Westphalia 2010 (GLES 2009)
Other Titles
  • German Longitudinal Election Study (Project Title)
Current Version2.0.0, 2013-1-9, https://doi.org/10.4232/1.11504
Date of Collection15.04.2010 - 26.04.2010
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 - GESIS - Leibniz-Institut für Sozialwissenschaften - ProjectManager
  • Bytzek, Evelyn - Universität Frankfurt - ProjectMember
  • Scherer, Philipp - Universität Frankfurt - ProjectMember
  • Fürnberg, Ossip - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Prinz, Christian - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Roßmann, Joss - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator

Content

Categories Categories
  • Political Attitudes and Behavior
Topics Topics
  • 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
  • North Rhine-Westphalia (DE-NW)
UniverseThe population comprises all persons with German citizenship resident in the Federal Republic of Germany who are at least 18 years old, primary live in North Rhine-Westphalia and who are participants of the Online-Access-Panel from Respondi AG or their partners. This group comprised nearly 21000 active Panel members in North Rhine-Westphalia. Recruitment was primary done online but also by phone.
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 CollectorBamberg Center for Empirical Studies (BACES)
Date of Collection
  • 15.04.2010 - 26.04.2010

Errata & Versions

VersionDate, Name, DOI
2.0.0 (current version)2013-1-9 Final Release https://doi.org/10.4232/1.11504
1.0.02010-10-27 Pre-Release1.0 https://doi.org/10.4232/1.10380
Errata in current version
none
Version changes
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2013-1-9The coding of the federal states has been exchanged from an alphabetic to the officially used key.--
2013-1-9The coding of parties has been adjusted to the current coding scheme of GLES. The scheme is available under http://www.gesis.org/wahlen/gles/daten-und-dokumente/dokumente/.--
2013-1-9The open statements on reasons for electoral decision are now added to the data set.--
2013-1-9Special characters from the German language (Umlaute) have been removed from all labels.--
2013-1-9The values for respondents who did not answer questions with multiple answer categories including “none of the above” (or equivalent) have been ex post set to “no answer” (“keine Angabe”). --

Further Remarks

Links
Number of Units: 572
Number of Variables: 789
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 North Rhine-Westphalia