German Internet Panel, Wave 42 (July 2019)

Resource Type
Dataset : Survey and aggregate data
  • Blom, Annelies G. (Universität Mannheim)
  • Fikel, Marina (Universität Mannheim)
  • Friedel, Sabine (Universität Mannheim)
  • Höhne, Jan Karem (Universität Mannheim)
  • Krieger, Ulrich (Universität Mannheim)
  • Rettig, Tobias (Universität Mannheim)
  • Wenz, Alexander (Universität Mannheim)
  • SFB 884 ´Political Economy of Reforms´, Universität Mannheim
Publication Date
  • forsa Marktforschung, Frankfurt am Main (Data Collector)
  • ZA:
    • International Institutions, Relations, Conditions
    • Political Attitudes and Behavior
    • Person, Personality, Role
  • CESSDA Topic Classification:
    • International politics and organisation
    • Mass political behaviour, attitudes/opinion
    • Government, political systems and organisation
    • Psychology
  • 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. The questionnaire contains numerous experimental variations in the survey instruments. For further information, please refer to the study documentation. Topics: Political efficacy (understanding and assessing political issues well, politicians strive to maintain close contact with the population, participation in discussions on political issues, contact between politicians and citizens); political interest; importance of environmental issues/ gender issues; self-characterisation (Big 5: trusting, little artistic interest, tend to criticize others, active imagination); life satisfaction; performance motivation (enjoy competing with others, satisfaction through better performance compared to others, strive to be better than others, make more effort when competing with others, strive to be one of the best in one´s own field of work); work motivation: intrinsic work motivation (working independently, using one´s own talents and skills, tasks that require a sense of responsibility, realising one´s own ideas); extrinsic work motivation (high income, good opportunities for advancement, clear career prospects). EU: voting decision in the 2019 elections to the European Parliament; opinion on European unification; classification of the views of parties on European unification (CDU/CSU, SPD, Die Linke, Bündnis 90/ Die Grünen, FDP, AfD); classification of the views of the European Parliament on European unification; left-right classification of the European Parliament; advocacy of abolition of the EU if most people do not agree with EU decisions; satisfaction with the achievements of the EU; agreement on various statements: bad for the German economy/cultural life in Germany is undermined when people come from other countries to live here (nativism); good understanding and assessment of important EU policy issues or Politicians in the EU care about what people think (internal/external political efficacy). Experiment to collect additional information using a JavaScript: Consent to automatic recording of keystrokes and mouse clicks/ of GPS data in addition to the survey data; main reason for giving consent or refusing consent to automatic recording; technical understanding: understanding of keystrokes and mouse clicks/ of GPS data/ automatic recording of additional information by a JavaScript. Survey length (general and online) (in minutes); ideal length and maximum length of a survey (general and online) in which the respondent would participate (in minutes); recall policy interest; repeat policy interest response; security recall policy interest. Demography: sex; age (year of birth, categorized); highest educational degree; highest professional qualification; marital status; household size; employment status; German citizenship; frequency of private Internet usage; federal state. Additionally coded: respondent ID; household ID, GIP; person ID (within the household); year of recruitment (2012, 2014, and 2018); interview date; current online status; assignment to experimental groups. Questionnaire evaluation (interesting, varied, relevant, long, difficult, too personal); assessment of the survey as a whole; respondent made further comments on the questionnaire.
Temporal Coverage
  • 2019-07-01 / 2019-08-01
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
Time Dimension
  • Longitudinal: Panel
Collection Mode
  • Self-administered questionnaire: Web-based
Data and File Information
  • Number of Variables: 177
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
  • ZA7591 (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: 16 | Registration Date: 2020-03-16