German Internet Panel, Wave 32 (November 2017)

Resource Type
Dataset : Survey and aggregate data
  • Blom, Annelies G. (Universität Mannheim)
  • Felderer, Barbara (Universität Mannheim)
  • Höhne, Jan Karem (Universität Mannheim)
  • Krieger, Ulrich (Universität Mannheim)
  • Rettig, Tobias (Universität Mannheim)
  • SFB 884 ´Political Economy of Reforms´, Universität Mannheim
Publication Date
  • forsa Marktforschung, Frankfurt am Main (Data Collector)
  • ZA:
    • Political Attitudes and Behavior
    • Family
    • Communication, Public Opinion, Media
  • CESSDA Topic Classification:
    • Information society
    • Mass political behaviour, attitudes/opinion
    • Family life and marriage
  • 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. Topics: satisfaction with the performance of the federal government; satisfaction with the performance of the parties CDU/CSU, SPD, Bündnis 90/Die Grünen and Die Linke in the Bundestag; unity of the federal government; unity of the parties CDU, CSU, SPD, FDP, Bündnis 90/Die Grünen, Die Linke and AfD; role of Martin Schulz as party leader of the SPD; evaluation of Martin Schulz´s competence as SPD party leader; evaluation of the parties´ election statements as vague or precise (CDU/CSU, SPD, FDP, Bündnis 90/Die Grünen, Die Linke and AfD); leisure activities in the last ten years (football club, home or allotment garden club, holidays in the USA, Canada, Australia or New Zealand (Split: on holiday on a city trip lasting several days, on holiday in Germany, Austria or Switzerland, in Africa, Asia or South America, in the USA or Canada, in a Japanese restaurant, in an Indian restaurant); sympathy scalometers for Angela Merkel, Alexander Gauland, Martin Schulz, Cem Özdemir and Horst Seehofer; expected deterioration or improvement of the overall economic situation in Germany; voting behaviour in the last Bundestag election in 2017 (second vote). Owning a mobile phone; mobile phone is smartphone; frequency of use of the smartphone in addition to telephoning or sending SMS; willingness to participate in passive mobile data collection 2016: use of the smartphone for selected activities; self-assessment of smartphone skills; concerns about privacy in general; concerns about the security of own data during smartphone activities as part of a research study (filling out an online questionnaire, downloading an app that collects data about the use of the smartphone, camera use to photograph or scan receipts or barcodes of purchased products, measuring frequency and speed while walking, running and cycling, releasing GPS position). Relationsship: relationship status; satisfaction with relationship; self-assessment of attractiveness; sex frequency in the last three months; satisfaction with sex life; change in satisfaction with sex life. Demography (variables passed on): gender; year of birth (categorised); highest educational degree; highest professional qualification; marital status; number of household members (household size); employment status; federal state; year of recruitment; german citizenship; private Internet use. Additionally coded was: unique ID; household and person ID within the household; interview date; current online status; questionnaire evaluation (interesting, varied, relevant, long, difficult, too personal); overall assessment of the survey.
Temporal Coverage
  • 2017-11-01 / 2017-11-30
Geographic Coverage
  • Germany (DE)
Sampled Universe
Persons between the ages of 16 and 75 who were living in private households at the time of recruitment
Sampling Procedure Comment: Probability Sample: Multistage Sample
Collection Mode
  • Onlinesurvey Self-administered questionnaire: CAWI (Computer-Assisted Web Interview)
Data and File Information
  • Number of Variables: 99
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.
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Alternative Identifiers
  • ZA6906 (Type: ZA-No.)
  • Steinacker, G.; Schmidt, S.; Schneekloth, U. (2012): German Internet Panel (GIP): Stichprobenziehung und Rekrutierung der Teilnehmer. München: TNS Infratest Sozialforschung, Feldbericht zur Erhebung 2012
  • Steinacker, G.; Schmidt, S. (2014): German Internet Panel (GIP): Stichprobenziehung und Rekrutierung der Teilnehmer. München: TNS Infratest Sozialforschung, Feldbericht zur Erhebung 2014
  • 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.
  • 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.
  • 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.
  • Felderer, B., & Blom, A. G. (2019). Acceptance of the automated online collection of geographical information. Sociological Methods & Research, 1-21.

Update Metadata: 2020-11-16 | Issue Number: 17 | Registration Date: 2018-06-05