German Internet Panel, Wave 31 - Core Study (September 2017)

Resource Type
Dataset : Survey and aggregate data
  • Blom, Annelies G. (Universität Mannheim)
  • Felderer, Barbara (Universität Mannheim)
  • Höhne, Jan K. (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
    • Occupation, Profession
    • Income
  • CESSDA Topic Classification:
    • Employment
    • Mass political behaviour, attitudes/opinion
    • Income, property and investment/saving
  • Abstract

    The German Internet Panel (GIP) is an infrastructure project. The GIP is used to collect data on individual attitudes and preferences relevant to political and economic decision-making processes. The questionnaire contains numerous experimental variations in the survey instruments. For more information, see the study documentation. Topics: verification of stored data of the respondent such as surname, first name, sex, year of birth, mobile phone number and landline number and, if necessary, addition of mobile phone number and landline number or not specified; household composition: age and sex of up to four household members and their relationship to the respondent; current employment (full-time or part-time employment, partial retirement, mini-job, one-euro job, occasional or irregular employment, vocational training/apprenticeship, retraining, federal volunteer service, voluntary social/ecological/cultural year, maternity and parental leave, pupil, student, pensioner, unemployed, permanently unable to work, housewife/househusband); current or former main employment status; based on current or last paid activity: dependent employment, self-employed or assisting family member; fixed-term employment contract; employment in the public sector; economic sector employment; religion; religiousness; computer use besides the study; frequency of Internet usage for private purposes; frequency of private Internet usage per day; satisfaction with selected areas of life (family life, leisure, financial situation, work); social activities: active, passive, or no membership in selected organisations and associations (sports, music or cultural association, other hobby association, human rights, environmental or animal protection association, charity or aid organisation, religious or ecclesiastical organisation, youth, parents or senior citizens´ association, citizens´ initiative, professional association, trade union and political party); left-right self-assessment; party affiliation and party identification; personal net income (categorized); number of income contributin persons in the household; household income (categorized); voted in the 2017 federal election; voting choice election (second vote); vote intention; vote at last election. Demography: highest educational degree; highest professional qualification; marital status; number of household members (household size); employment status; occupational status; state of principal residence; German nationality; (variables passed on: sex; year of birth (categorized); year of recruitment). Additionally coded: unique ID; household and person ID within the household; interview date; current online status; experiment; questionnaire evaluation (interesting, varied, relevant, long, difficult, too personal); overall assessment of the survey.
Temporal Coverage
  • 2017-09-01 / 2017-09-30
Geographic Coverage
  • Germany (DE)
Sampled Universe
Persons aged 15 to 75 years, resident 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: 118
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.
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
Alternative Identifiers
  • ZA6905 (Type: ZA-No.)
  • 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.
  • 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: 2021-04-07 | Issue Number: 19 | Registration Date: 2018-04-04