German Internet Panel, Wave 3 (January 2013)

Resource Type
Dataset : Survey and aggregate data
  • Blom, Annelies G. (Universität Mannheim)
  • Bossert, Dayana (Universität Mannheim)
  • Funke, Frederik (Universität Mannheim)
  • Gebhard, Franziska (Universität Mannheim)
  • Holthausen, Annette (Universität Mannheim)
  • Krieger, Ulrich (Universität Mannheim)
  • SFB 884 "Political Economy of Reforms" Universität Mannheim
Publication Date
  • TNS Infratest Sozialforschung, München (F2F-recruitment) (Data Collector)
  • LINK, Frankfurt (online survey) (Data Collector)
  • ZA:
    • Political Attitudes and Behavior
    • Social Policy
    • Public expenditures
  • CESSDA Topic Classification:
    • Health policy
    • Government, political systems and organisation
    • Social welfare policy
    • Social welfare systems/structures
    • Mass political behaviour, attitudes/opinion
  • 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. Experimental variations in the instruments were used. The questionnaire contains numerous randomizations (order of variables or answers) as well as a cross-questionnaire experiment on the respondent´s intermediate feedback. Topics: 1. Health care system: satisfaction with the health care system in Germany; demand for a reform of the health care system; opinion on higher expenditures of the state or the statutory health insurance funds for the health care system; willingness to pay higher contributions to improve health care for all; responsibility of the state for basic health care; preference for income-dependent or uniform insurance contributions to the statutory health insurance system; most strongly rejected or preferred measure to finance the health care system; private co-payments: preference for eliminating, reducing, maintaining or increasing the surgery fee, co-payments for dental care, co-payments for medication and hospitalisation; willingness to participate in a family doctor model; preference for free choice of specialist versus referral by family doctor; health insurance status; self-assessment of health status; chronic health problems. 2. Political system of the FRG and political parties: political knowledge: blackout clause; election of the Federal Chancellor; assignment of portrait photos of selected politicians to a party; sympathy scale for the parties CDU/CSU, SPD, Bündnis90/Die Grünen, FDP and Die Linke. 3. Unemployment benefit (ALG II): preference for the current regulation or a reform of the ALG II; expected increase of ALG II recipients who would look for a job after the reform; expected influence on the financial situation of the state if the changed regulation is implemented; employment status; expected influence of a changed ALG II regulation on selected areas of life (personal income, probability of own unemployment as well as personal standard of living); amount of monthly compensation payment to maintain personal standard of living; amount of ALG-II as a function of last income; expected demand for labour by a general wage reduction of 3 per cent; estimated percentage by which demand for labour would change if wages were reduced by 3 per cent. 4. Pension system: preference for higher government spending to secure pensions and old-age pensions; demand for private old-age provision above the basic needs covered by law; demand for a reform of the German pension system; opinion on pensions at 67; physical and mental abilities still meet job requirements at 67; preferred and rejected proposal on pension financing in view of demographic change; opinion on selected proposals on capitalisation of the pension system; guaranteed minimum pension as a civil right; demand for government support for private old-age provision e.g. for the unemployed and low-income earners; main sources of information used on pension and health policy; social justice (scale). Demography: sex; citizenship; year of birth (categorised); highest school leaving certificate; highest occupational qualification; marital status; household size; employment status; private Internet use; federal state. Additionally coded was: interview date; questionnaire evaluation; overall assessment of the survey; unique ID, household identification and person identification within the household.
Temporal Coverage
  • 2013-01-01 / 2013-02-01
Geographic Coverage
  • Germany (DE)
Sampled Universe
Residents in private households between 16 and 75 years of age
Sampling Procedure Comment: Multistage proportionate stratified random sample (ADM-Random-Route)
Collection Mode
  • Self-administered questionnaire: CAWI (Computer Assisted Web Interview)
Data and File Information
  • Number of Variables: 126
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Alternative Identifiers
  • ZA5868 (Type: ZA-No.)
  • Is new version of
    DOI: 10.4232/1.12109
  • 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: 23 | Registration Date: 2016-08-23