GESIS - DBK - ZA5342
 

ZA5342: Long-term Online Tracking, T9 (GLES 2009)

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ZA5342 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5342_v2-0-0.dta (Dataset Stata) 3 MBytes
  • ZA5342_v2-0-0.sav (Dataset SPSS) 5 MBytes

Questionnaires

  • ZA5342_fb_v2-0-0.pdf (Questionnaire) 692 KBytes

Other Documents

  • ZA5300-57_GLES_Doku_insgesamt.zip (Other Document) 2 MBytes
  • ZA5342_Aenderungen_v1-0-0_zu_v2-0-0.pdf (Other Document) 97 KBytes
  • ZA5342_sb_v2-0-0.pdf (Study Description) 424 KBytes
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Bibliographic Citation

Citation Citation GLES (2015): Long-term Online Tracking, T9 (GLES 2009). GESIS Data Archive, Cologne. ZA5342 Data file Version 2.0.0, https://doi.org/10.4232/1.12222
Study No.ZA5342
TitleLong-term Online Tracking, T9 (GLES 2009)
Other Titles
  • German Longitudinal Election Study (Project Title)
Current Version2.0.0, 2015-5-6, https://doi.org/10.4232/1.12222
Date of Collection15.04.2010 - 23.04.2010
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 - Universität Frankfurt - ProjectManager
  • Bytzek, Evelyn - Universität Frankfurt - ProjectMember
  • Scherer, Philipp - Universität Frankfurt - ProjectMember
  • Kaukal, Malte - 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
  • 17.4 Economic conditions and indicators
  • 17.5 Economic policy
  • 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 2010 nearly 100000 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
  • 15.04.2010 - 23.04.2010

Errata & Versions

VersionDate, Name, DOI
2.0.0 (current version)2015-5-6 Release2-0-0 https://doi.org/10.4232/1.12222
1.0.02010-9-17 Pre-Release1.0 https://doi.org/10.4232/1.10403
Errata in current version
none
Version changes
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2015-5-11Umlauts (ä, ö, ü) and „ß“ were changed into „ae“, “oe”, “ue” and “ss” in variable- and value-labels of data set. It should guarantee the international usability of this data set. Moreover upper and lower case was adapted to German spelling.2015-5-11
2015-5-11Missing values were partly recoded in order to harmonize GLES data sets. Answer category “don´t know” was coded with code (98), (998) or (9998). If answer was refused or no answer was given (“no answer”) was coded with code (99), (999) or (9999). If a question does not fit to respondent due to filtering (“not applicable”) it was coded with (1000) or (10000).2015-5-11
2015-5-11Maximum length of variable labels was limited to 80 figures and maximum length of value labels was limited to 120 figures. In some cases variables exceeded these limits. Variable and value labels were then shortened so that meaning with regard to contend remained.2015-5-11
2015-5-11Variables asking for political parties were coded with the help of a standardized coding scheme due to harmonization of GLES data. Variables like voting intention, voting decision or party identification are affected by this. The coding scheme “political parties” can be downloaded at www.gesis.org/gles.2015-5-11
2015-5-11Structural data are not included in current version of data set anymore.2015-5-11
2015-5-11Answer categories „Jewish“, „Muslim“ and other answers of non-christian religion were summarized into answer category „other denomination“ at question A42 (“religious affiliation”). All other answers were recoded according the coding scheme “religious affiliation”. This causes that the variables A42a “frequency of church attendance, christian”, A42b “frequency of church attendance, jewish” and A42c “frequency of church attendance, muslim” were summarized into variable kirchg “frequency of church/mosque/synagogue attendance”.2015-5-11
2015-5-11Open answers regarding questions A45 (“country of birth”), A46a (“country of birth, mother”), A46b (“country of birth, father”) were summarized into „abroad“ because of privacy reasons. If open answer was a city or region on current German territory it was recoded.2015-5-11
2015-5-11Variable label of variable A43 (“German citizenship”) was unclear because it was asked whether respondent has German citizenship since his birth and not whether he currently has German citizenship. Variable label was changed into “German citizenship since birth”.2015-5-11
2015-5-11Open answers of variables A56_a “reasons of voting decision”, A03 “most important problem”, A05 “second most important problem” were published in version 2.0.0 for the first time. If open answers included problems regarding privacy they were overwritten.2015-5-11

Further Remarks

Links
Number of Units: 1136
Number of Variables: 704
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.