German Internet Panel, Wave 35 (May 2018)

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:
    • Political Attitudes and Behavior
    • Social Policy
  • CESSDA Topic Classification:
    • Mass political behaviour, attitudes/opinion
    • 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 experimental variations in the survey instruments. For further information, please refer to the study documentation. Topics: Opinion on the need for reform of the health care system in Germany; advocated measures to keep revenues and expenditures of the health care system in balance (higher contributions to health insurance, higher private co-payments by patients, general tax increases, cuts in the remuneration of physicians, pharmacies and the pharmaceutical industry, restriction of medical services paid for by the health insurance, other, none of these measures); Preference for family doctor model or free choice of doctor; opinion on the need for reform of the social security system for unemployed people in Germany; conditions for receiving Hartz IV (without further conditions, indigence, actively seeking work, accepting reasonable offers of work, accepting any offer of work, having previously worked in Germany, possession of German citizenship, other conditions (open), unemployment benefit II should be abolished without replacement or abolished and replaced by something else); Federal government should set more or less rules for the German labour market than at present; opinion on the need for reform of the pension system in Germany; most (split: least) supported proposal on the financing of statutory pensions (higher contributions to the statutory pension insurance, increase of the retirement age, general tax increases, reduction of the level of the statutory pension, none of them); opinion on the need for reform of the education system in Germany; federal government should spend more or less money on the education system than at present; most important area of the education system on which the federal government should spend more money or especially less money (childcare for 1-5 year olds, primary and secondary schools, vocational training, academic training, further education for working people, other area (open), none of these areas); opinion on the need for reform of the tax system in Germany in general and against the background of the consequences associated with taxes; demand for government measures to reduce income disparities; opinion on the tax burden on high-income earners; opinion on the need for reform of the labor market and social systems in the member states of the euro zone in general and against the background of the disadvantages for individual population groups; EU should decide more or less on reforms in the member states than it does at present; policy areas in which the EU should decide more or less; policy areas in which the state is most likely to extend or reduce benefits (health services, basic provision for the unemployed, employment promotion for the unemployed, old-age pensions, education, childcare facilities, in none of these areas); perception of the federal government as divided or closed; perception of the parties CDU, CSU, SPD, FDP, Bündnis90/Die Grünen, Die Linke and AfD as divided or closed; role of Andrea Nahles as SPD party leader; assessment of the competence of Andrea Nahles as SPD party leader. 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 was: respondent ID; household ID, GIP; person ID (within household); year of recruitment (2012, 2014); interview date; current online status; experimental variable. Questionnaire evaluation (interesting, varied, relevant, long, difficult, too personal); overall evaluation of the survey; respondent made further comments on the questionnaire.
Temporal Coverage
  • 2018-05-01 / 2018-06-05
Geographic Coverage
  • Germany (DE)
Sampled Universe
Persons between 16 and 75 years of age living in private households at the time of recruitment
Probability: Multistage
Time Dimension
  • Longitudinal: Panel
Collection Mode
  • Self-administered questionnaire: Web-based
Data and File Information
  • Number of Variables: 108
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
  • ZA6955 (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: 2020-11-16 | Issue Number: 15 | Registration Date: 2019-11-20