GESIS - DBK - ZA5340
 

ZA5340: Long-term Online Tracking, T7 (GLES 2009)

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ZA5340 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5340_v4-0-0.dta (Dataset Stata) 4 MBytes
  • ZA5340_v4-0-0.sav (Dataset SPSS) 5 MBytes

Questionnaires

  • ZA5340_fb_v4-0-0.pdf (Questionnaire) 830 KBytes

Other Documents

  • ZA5300-57_GLES_Doku_insgesamt.zip (Other Document) 2 MBytes
  • ZA5340_Aenderungen_v3-0-0_zu_v4-0-0.pdf (Other Document) 134 KBytes
  • ZA5340_sb_v4-0-0.pdf (Study Description) 724 KBytes
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Bibliographic Citation

Citation Citation GLES (2013): Long-term Online Tracking, T7 (GLES 2009). GESIS Data Archive, Cologne. ZA5340 Data file Version 4.0.0, https://doi.org/10.4232/1.11699
Study No.ZA5340
TitleLong-term Online Tracking, T7 (GLES 2009)
Other Titles
  • German Longitudinal Election Study (Project Title)
Current Version4.0.0, 2013-6-27, https://doi.org/10.4232/1.11699
Date of Collection29.09.2009 - 25.10.2009
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
  • Rattinger, Hans - Universität Mannheim - ProjectLeader
  • Blumenstiel, Jan Eric - GESIS - Leibniz-Institut für Sozialwissenschaften - ProjectManager
  • Bieber, Ina - 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
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
  • Germany (DE)
UniverseThe population comprises all German citizens who were at least 18 years old and participated at the Online-Access-Panel by Respondi AG. This panel comprised in 2009 nearly 65000 active members. Recruitment primary works 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
  • 29.09.2009 - 08.10.2009
  • 08.10.2009 - 25.10.2009

Errata & Versions

VersionDate, Name, DOI
4.0.0 (current version)2013-6-27 Release 4.0.0 https://doi.org/10.4232/1.11699
3.0.02011-1-24 Pre-Release1.2 https://doi.org/10.4232/1.10401
2.0.02010-11-4 Pre-Release1.1 https://doi.org/10.4232/1.10400
1.0.02010-7-12 Pre-Release1.0 https://doi.org/10.4232/1.10399
Errata in current version
DateSubjectDescription
2010-11-4Items A16h "Skalometer Koalitionen: SPD, Die Linke und Bündnis 90/Die Grünen" and A16f "Skalometer Koalitionen: SPD und FDP" are subject to a programming mistake by the research institute. Values for answer category 11 “+5 äußerst wünschenswert“ (“+5 very preferable”) of variable A16h had been erroneously saved in variable A16f. For a more detailed problem description and hints on handling the respective variables see the method report.
Version changes
Changes between version 3.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2011-1-24Creation of binary variable teilexp (“Teilnahme am Experiment”, “participation in the experiment”) which indicates which respondents of Online-Tracking T7 also participated in the subsequent experiment. --
2011-1-24Matching the Online-Tracking with the experiment revealed 101 cases in which deviations between sex, age and education occurred. So far, these respondents had been deleted from the data set. For the new pre-release the identification of the respondents has been modified (see new marker variables: mut_sex, mut_age, mut_educ and mutation) but the cases remain in the data set. Thus, the users may decide for themselves whether to include or exclude these cases from their analyses.--
2011-1-24Due to the deviating handling of mutant cases new weights have been constructed (including and excluding mutant cases). A detailed description on weights is included in the method report. --
2011-1-24The 16 dummy variables containing the information on the respondent’s federal state residence have been combined into one variable (T7_01). --
2011-1-24Merging the Online-Tracking data with the experiment data led to an overwriting of the respective data of some system- and time variables. The problem has been corrected.--
2011-1-24Minor changes to variable labels.--
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2010-11-4The data set has been expanded by data from an experiment that took place subsequent to the federal election of 2009. In the experiment variables were collected that enable examining the causal relations between sex and origin on electoral decisions of German voters.--
2010-11-4Items A16h "Skalometer Koalitionen: SPD, Die Linke und Bündnis 90/Die Grünen" and A16f "Skalometer Koalitionen: SPD und FDP" are subject to a programming mistake by the research institute. Values for answer category 11 “+5 äußerst wünschenswert“ (“+5 very preferable”) of variable A16h had been erroneously saved in variable A16f. For a more detailed problem description and hints on handling the respective variables see the method report.--
2010-11-4Subsequent coding of “reasons for electoral decision” (“Gründe der Wahlentscheidung”), “most important problem” (“Wichtigstes Problem”) and “second most important problem” (“Zweitwichtigstes Problem”). Variables: a03, a05, a56a-c.--
2010-11-4Creation of flag variable for problematic or implausible values and creation of comment variable (variables: Probflag, Probkomm). --
2010-11-4Alterations of value labels and variable labels (no substantial changes).--

Further Remarks

Links
Number of Units: 1147
Number of Variables: 1101
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.