German Internet Panel, Wave 9 (January 2014)

Resource Type
Dataset : Survey and aggregate data
  • Blom, Annelies G. (Universität Mannheim)
  • Bossert, Dayana (Universität Mannheim)
  • Gebhard, Franziska (Universität Mannheim)
  • Herzing, Jessica (Universität Mannheim)
  • Krieger, Ulrich (Universität Mannheim)
  • SFB 884 ´Political Economy of Reforms´
Publication Date
  • TNS Infratest Sozialforschung, München (F2F-recruitment) (Data Collector)
  • LINK, Frankfurt (Online survey) (Data Collector)
  • ZA:
    • Political Attitudes and Behavior
    • Social Policy
    • Work and Industry
  • CESSDA Topic Classification:
    • Mass political behaviour, attitudes/opinion
    • Working conditions
    • Social welfare policy
  • 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 (e.g. order of option A and B) as well as a cross-questionnaire experiment. Topics: 1. Political attitudes: preferred sole governments or government coalitions; preference for a government coalition of CDU/CSU and FDP or for a coalition of SPD and Bündnis90/Die Grünen; maximum monthly amount the respondent would be willing to pay for the realization of the desired coalition; support for nuclear phase-out; maximum monthly amount the respondent would be willing to pay for the implementation of the desired nuclear phase-out and anticipated maximum amount of other supporters; unemployment benefit ALG II: preference for the current or amended ALG II scheme in terms of standard rates and additional earnings limits; expected impact of the amended ALG II scheme on the proportion of ALG II recipients seeking work; expected impact of the amended ALG II scheme on the financial situation of selected groups (unemployed, low-income and high-income workers respectively enterprises); expected impact of the amended ALG II scheme on the personal financial situation, the likelihood of own unemployment and personal living standards; expected effect of an anticipated general wage cut of three per cent on labour demand; estimated percentage by which labour demand would increase or decrease. 2. Preferences and interests in terms of working life: in relation to current and last occupation: actual weekly working hours including overtime; preferred weekly working hours; monthly net wage (classified); year of last wage payment; preferences for selected options in various decision-making situations regarding weekly working hours, monthly net earnings and income from other sources; self-assessment of risk appetite (scalometer); impact of income tax reform on preferred weekly working hours: preferences for selected options in various decision-making situations (permanent increase or decrease in income tax, partial suspension or one-off increase in income tax). 3. Opinion on the emotional suitability of women for politics; policy competence: complexity of politics and government; opinion on freedom of speech; climate change: knowledge of global changes in average temperatures; general personal confidence; expected persistence of inequality due to benefits for the rich and powerful. 4. Estimate of the likelihood of selected future events occurring in the next 12 months (in percent): job loss, finding a new job, rising cost of living; lowest or highest net monthly wage on a new job (in euros); estimate of the likelihood (in percent) that the monthly wage on a new job is at least sum x. 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
  • 2014-01-01 / 2014-02-01
Geographic Coverage
  • Germany (DE)
Sampled Universe
Persons between 16 and 75 years, living in private households
Sampling Procedure Comment: Multistage proportionate stratified random sample
Collection Mode
  • Self-administered questionnaire: CAWI (Computer Assisted Web Interview)
Data and File Information
  • Number of Variables: 324
The data of the F2F-recruitment is not availabe.
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.
All metadata from GESIS DBK are available free of restriction under the Creative Commons CC0 1.0 Universal Public Domain Dedication. However, GESIS requests that you actively acknowledge and give attribution to all metadata sources, such as the data providers and any data aggregators, including GESIS. For further information see
Alternative Identifiers
  • ZA5920 (Type: ZA-No.)
  • Is new version of
    DOI: 10.4232/1.12120
  • Steinacker, G.; Schmidt, S.; Schneekloth, U. (2012): German Internet Panel (GIP): Stichprobenziehung und Rekrutierung der Teilnehmer. München: TNS Infratest Sozialforschung, Feldbericht zur Erhebung 2012
  • Steinacker, G.; Schmidt, S. (2014): German Internet Panel (GIP): Stichprobenziehung und Rekrutierung der Teilnehmer. München: TNS Infratest Sozialforschung, Feldbericht zur Erhebung 2014
  • 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