GESIS - DBK - ZA5734
 

ZA5734: Long-term Online Tracking, T34 (GLES)

Downloads and Data Access


Downloads

We are currently not allowing direct download or shopping cart orders of restricted files, only non-restricted files can be downloaded directly. More information here.

Data access

Datasets

sortsort


Questionnaires

sortsort


Other Documents

sortsort

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. Charges apply! Please respect our Terms of use.


Bibliographic Citation

Citation Citation    Roßteutscher, Sigrid; Schmitt-Beck, Rüdiger; Schoen, Harald ; Weßels, Bernhard; Wolf, Christof; Henckel, Simon; Bieber, Ina; Scherer, Philipp (2017): Long-term Online Tracking, T34 (GLES). GESIS Data Archive, Cologne. ZA5734 Data file Version 1.0.0, https://doi.org/10.4232/1.12731
Study No.ZA5734
TitleLong-term Online Tracking, T34 (GLES)
Current Version1.0.0, 2017-1-19, https://doi.org/10.4232/1.12731
Date of Collection02.12.2016 - 16.12.2016
Principal Investigator/ Authoring Entity, Institution
  • Roßteutscher, Sigrid - Universität Frankfurt
  • Schmitt-Beck, Rüdiger - Universität Mannheim
  • Schoen, Harald - Universität Mannheim
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung
  • Wolf, Christof - GESIS - Leibniz-Institut für Sozialwissenschaften
  • Henckel, Simon - Universität Frankfurt
  • Bieber, Ina - Universität Frankfurt
  • Scherer, Philipp - Universität Frankfurt

Methodology

Geographic Coverage
  • Germany (DE)
UniverseThe population comprises all German citizens who were eligible to vote when the survey was conducted. Due to the fact that this was an online survey not everybody who was eligible to vote had a probability to get selected for this Online Tracking. Therefore the population comprises all persons with German citizenship resident in the Federal Republic of Germany and being part of the forsa omninet, who had a minimum age of 18 years, who lived in Germany and used at least once a week the Internet for private reasons. This group comprised nearly 75000 active Panel members. Active Panel members had been recruited exclusively by phone, had filled out a basic questionaire and had attended to at least one survey within the last twelve months.
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Non-probability: Quota
Sampling was based on a primary defined ratio schedule (sex, age, education). Moreover it was paid heed to the fact that Panel members are only allowed to participate once a year in an Online Tracking of GLES study.
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 CollectorForsa.main Marktinformationssysteme GmbH, Frankfurt am Main
Date of Collection
  • 02.12.2016 - 16.12.2016

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2017-1-19 first archive edition https://doi.org/10.4232/1.12731
Errata in current version
DateSubjectDescription
2017-1-19Filter error t59In addition to the intended filter t54=1 the filter condition t56=1-3,8 was wrongly assigend to t59 "Former field of employment" as well. In a consequence, 25 respondents weren´t shown the questions although they should had been.
Version changes

Further Remarks

Links
Number of Units: 1022
Number of Variables: 506
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.