My da|ra Login

Detailed view

metadata language: German English

German Internet Panel, Wave 19 - Core Study (September 2015)

Version
2.0.0
Resource Type
Dataset : Survey and aggregate data
Creator
  • Blom, Annelies G. (Universität Mannheim)
  • Bruch, Christian (Universität Mannheim)
  • Felderer, Barbara (Universität Mannheim)
  • Gebhard, Franziska (Universität Mannheim)
  • Herzing, Jessica (Universität Mannheim)
  • Krieger, Ulrich (Universität Mannheim)
  • SFB 884 ´Political Economy of Reforms´
Publication Date
2017-08-02
Contributor
  • LINK, Frankfurt (online-Survey) (Data Collector)
Language
German
Classification
  • CESSDA Topic Classification:
    • Social behaviour and attitudes
    • Information society
    • Mass political behaviour, attitudes/opinion
Description
  • Abstract

    The German Internet Panel (GIP) is an infrastructure project. The GIP serves to collect data about individual attitudes and preferences which are relevant for political and economic decision-making processes.
Temporal Coverage
  • 2015-09-01 / 2015-09-30
Geographic Coverage
  • Germany (DE)
Sampled Universe
Persons aged 15 to 75 years, resident in private households
Sampling
Sampling Procedure Comment: Probability Sample: Multistage Sample
Collection Mode
  • Online survey Self-administered questionnaire: CAWI (Computer-Assisted Web-Interview)
Data and File Information
  • Number of Variables: 170
Availability
Delivery
C - Data and documents are only released for academic research and teaching after the data depositor’s written authorization. For this purpose the Data Archive obtains a written permission with specification of the user and the analysis intention.
Rights
All metadata from GESIS DBK are available free of restriction under the Creative Commons CC0 1.0 Universal Public Domain Dedication. However, GESIS requests that you actively acknowledge and give attribution to all metadata sources, such as the data providers and any data aggregators, including GESIS. For further information see https://dbk.gesis.org/dbksearch/guidelines.asp
Alternative Identifiers
  • ZA5985 (Type: ZA-No.)
Relations
  • Is new version of
    DOI: 10.4232/1.12485
Publications
  • Steinacker, G.; Schmidt, S. (2014): German Internet Panel (GIP): Stichprobenziehung und Rekrutierung der Teilnehmer. München: TNS Infratest Sozialforschung, Feldbericht zur Erhebung 2014
  • Steinacker, G.; Schmidt, S.; Schneekloth, U. (2012): German Internet Panel (GIP): Stichprobenziehung und Rekrutierung der Teilnehmer. München: TNS Infratest Sozialforschung, Feldbericht zur Erhebung 2012
  • Blom, A. G., Gathmann, C., & Krieger, U. (2015). Setting Up an Online Panel Representative of the General Population: The German Internet Panel. Field Methods, 27(4), 391–408. https://doi.org/10.1177/1525822X15574494
  • Blom, A. G., Bosnjak, M., Cornilleau, A., Cousteaux, A. S., Das, M., Douhou, S. & Krieger, U. (2016). A Comparison of Four Probability-Based Online and Mixed-Mode Panels in Europe. Social Science Computer Review, 34(1), 8-25. doi: 10.1177/0894439315574825
  • Blom, A. G., Herzing, J. M. E., Cornesse, C., Sakshaug, J. W., Krieger, U., & Bossert, D. (2017). Does the Recruitment of Offline Households Increase the Sample Representativeness of Probability-Based Online Panels? Evidence From the German Internet Panel. Social Science Computer Review, 35(4), 498–520. https://doi.org/10.1177/0894439316651584
  • Herzing, J. M. E., & Blom, A. G. (2019). The Influence of a Person’s Digital Affinity on Unit Nonresponse and Attrition in an Online Panel. Social Science Computer Review, 37(3), 404–424. doi.org/10.1177/0894439318774758
  • Felderer, B., & Blom, A. G. (2019). Acceptance of the automated online collection of geographical information. Sociological Methods & Research, 1-21. https://doi.org/10.1177/0049124119882480

Update Metadata: 2020-11-16 | Issue Number: 18 | Registration Date: 2017-08-02

Blom, Annelies G.; Bruch, Christian; Felderer, Barbara; Gebhard, Franziska; Herzing, Jessica et. al. (2017): German Internet Panel, Welle 19 - Core Study (September 2015). Version: 2.0.0. GESIS Datenarchiv. Dataset. https://doi.org/10.4232/1.12838