German Internet Panel, Wave 33 (January 2018)

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 Issues
    • Political Attitudes and Behavior
    • Social Policy
  • CESSDA Topic Classification:
    • Mass political behaviour, attitudes/opinion
    • Social and occupational mobility
    • Specific social services: use and provision
    • Social welfare policy
    • Social welfare systems/structures
  • 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 more information, see the study documentation. Topics: Responsibility of the state for adequate health care for the sick; more or less expenditure of the state and the statutory health insurance fund for the health system; self-assessment of the state of health; type of health insurance; (professional) activity; start of unemployment (year); ever unemployed for more than 3 months; unemployed at least once for more than 3 months in the last 5 years; probability of own unemployment in the next 12 months; estimated proportion of unemployed in Germany; responsibility of the state for an adequate standard of living in old age; more or less expenditure of the state and the statutory pension insurance for pensions; preferred statutory retirement age in Germany; actual or expected age at retirement; preferred age for personal retirement; receipt of pension payments in 2017 from various sources; last year´s contributions to selected types of old-age provision; financing of pensions mainly by the state, the statutory pension scheme, employers and employees or by each individual; responsibility of the state for an adequate standard of living for the unemployed; more or less government expenditure for supporting the unemployed; advocacy of the nationwide statutory minimum wage vs. no statutory minimum wage; responsibility of the state for adequate care for elderly people in need of care; preference for long-term care (at home vs. retirement home); priority family policy (cash benefits and tax breaks, expansion of childcare or neither); responsibility of the state to ensure equal professional opportunities for men and women; support of the statutory quota for women on the supervisory boards of large listed companies; refugees: approval of a generous examination of asylum applications by the state; approval of the right to family reunion for refugees with granted asylum applications; happiness or effort decisive for financial success in Germany; responsiveness of the European Union to the wishes of citizens vs. responsibility and effectiveness; populism: politics as a struggle between righteous people and a corrupt elite; political and social goals best achieved through direct action rather than through politicians; better governance through independent expert decisions; importance of compromise in a democracy; better to abolish the EU completely if these decisions were taken without the consent of most people; satisfaction with the achievements of the EU; confidence in the decision-making competence of the EU; perception of the connection between the incomes of parents and adult children (social mobility); approval of more redistribution of income (by reducing income differences through taxes and transfer payments); more or less expenditure of the Federal Government for the education system; year of birth of the child (categorised); respondent / child: student status; subject of study; receipt of BAföG or BAföG application. Experiment: distribution of real sums of money to randomly selected participants in the survey in different decision-making situations (income group of the other player). Demography (variables passed on): sex; year of birth (categorised); highest school leaving certificate; 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 code; household code and person code within the household; interview date; current online status; questionnaire evaluation (interesting, varied, relevant, long, difficult, too personal); overall assessment of the survey; activation of JavaScript; allocation to main groups; allocation to experimental groups.
Temporal Coverage
  • 2018-01-01 / 2018-01-31
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
Probability: Multistage; Sampling Procedure Comment: Probability Sample: Multistage Sample
Collection Mode
  • Self-administered questionnaire: Web-based
  • Onlinesurvey Self-administered questionnaire: CAWI (Computer-Assisted Web Interview)
Data and File Information
  • Number of Variables: 102
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
  • ZA6953 (Type: ZA-No.)
  • Is new version of
    DOI: 10.4232/1.13082
  • 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: 2020-11-16 | Issue Number: 15 | Registration Date: 2018-10-08