German Internet Panel, Wave 8 (November 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
    • Political Parties, Organizations
  • CESSDA Topic Classification:
    • Mass political behaviour, attitudes/opinion
    • Government, political systems and organisation
  • 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 questions or answer categories) as well as a cross-questionnaire experiment. Topics: Opinion on general or on more reforms in Germany to improve the economic competitiveness of EU member states; voting behaviour in the last Bundestag elections and party preference (Sunday question); personal importance of selected policy areas (labour market, foreign policy, education and research, citizen participation, energy supply, European integration, family, health system, equality, internal security, personal rights, pension system, national debt, tax system, environmental and climate protection, transport, defence, currency, economy, immigration and integration); expected development of the personal economic situation and the economic situation in Germany in one year; policy field with the greatest problem-solving competence of the parties CDU/CSU, SPD, FDP, Bündnis90/Die Grünen, Die Linke and Alternative für Deutschland; perception of the aforementioned parties as closed or divided (scalometer); expected respective influence of the parties CDU/CSU, SPD, Bündnis90/Die Grünen and Die Linke on reforms in the next four years; party with the greatest future influence in the areas of labour market, health system, family, environment and climate protection and European unification; party mainly responsible for the failure of reforms (party of the Federal Minister with responsibility for financial issues, federal government as a whole, coalition partner without responsibility for financial issues, Federal Chancellor, Federal Minister with responsibility for financial affairs, others (open question); attitude towards the introduction of European government bonds (Eurobonds); attitude towards the Euro as the common currency; estimated period with sufficient oil supply (in 25 years still plenty of oil versus in 15 years no more oil); opinion on the determination of petrol and oil prices (each oil company determines its own prices versus price agreements among oil companies); opinion on responsibility for adequate housing (state versus personal responsibility); opinion on responsibility for crime in the country (individuals versus social circumstances); opinion on the state´s responsibility for job creation and a good standard of living; too harsh action by courts against criminals versus not harsh enough; opinion on the intelligence of government leaders; estimated prevalence of corruption among government members; opinion on legally mandated heating throttling in the event of severe fuel shortages; opinion on mandatory union membership for workers; opinion on legally mandated abortion for married women who don´t want children and in the case of damage to the baby; opinion on the use of trade union funds to support certain parties or to prevent their election; preference for the reintroduction of the D-mark; opinion on withdrawing from the euro. Demography: sex; citizenship; year of birth (categorised); highest school leaving certificate; highest professional qualification; marital status; household size; employment status; private internet use; federal state. Additionally coded was: interview date; questionnaire evaluation; assessment of the survey as a whole; unique ID, household ID and person ID within the household.
Temporal Coverage
  • 2013-11-01 / 2013-11-30
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: 150
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
  • ZA5873 (Type: ZA-No.)
  • Is new version of
    DOI: 10.4232/1.12114
  • 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: 21 | Registration Date: 2016-08-23