German Internet Panel, MOCK 2012

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
  • TNS Infratest Sozialforschung, München (Data Collector)
  • ZA:
    • Political Attitudes and Behavior
    • Social Policy
    • Patterns of Consumption
    • Natural Environment, Nature
  • CESSDA Topic Classification:
    • Mass political behaviour, attitudes/opinion
    • Social welfare policy
    • Environmental degradation/pollution and protection
    • Consumption/consumer behaviour
  • Abstract

    The German Internet Panel (GIP) is an infrastructure project. The GIP serves to collect data on individual attitudes and preferences that are relevant for political and economic decision-making processes. In the present case, this is a recruitment survey. The questionnaire consists of several parts with experiments and non-experimental questions. Since there are several independent experiments, the allocation of respondents to experimental groups is independent for each block. The questionnaire consists of 5 blocks: - Experiment: Answer Formats and Priming: Environmental and Nature Conservation Questions (6 groups) - Experiment: Right-left classification (3 groups) - Tax rates and social justice (3 groups, 2*2 groups and 2 groups) - Filter questions (8 groups) - Feedback questions (3 groups) Further information can be found in the study documentation. Topics: Experiment: Environmental and nature conservation issues: preferred amount of state spending per inhabitant per year on environmental and nature conservation measures; captcha consisting of random numbers; last three digits of telephone number; respondent´s willingness to pay (euros per month) to conserve nature and the environment (in the form of taxes, donations, fees, price increases, etc.). (Scale) experiment: right-left classification: right-left classification of the parties CDU, CSU, SPD, FDP, Die Linke, Bündnis 90/Die Grünen and Piratenpartei; left-right self-classification. (Question Formulation) Experiment: Tax Rates and Social Justice: adequate top tax rate in percent; adequate standard rate of unemployment benefit 2 (Hartz-IV) for a couple without children or with two preschool children (in Euro); agreement to increase income tax for all to finance higher standard rates for Hartz-IV recipients; willingness to donate money to a beggar. Experiment Filter questions: eating out last month; buying new clothes last month, even if not absolutely necessary; at least one week´s holiday in the last 12 months; friends invited to eat home last month; regular saving in the last 12 months; visiting cinema, theatre or concert last month; purchases for personal use in 2011: new car, digital camera, new bicycle, computer or laptop; financial vs. other reasons why not eating out last month (or no purchase of new clothes, no one-week holiday, no friends invited home for dinner, no regular savings, no going to the movies, no new car, digital camera, bike, computer or laptop); respondent could easily afford to eat out (or purchase new clothes, one-week holiday, invite friends home for dinner, regular savings, visits to the cinema, theatre or concert, purchase a new car, digital camera, bike, computer or laptop) vs. was rather an exception. Feedback questions (respondents should get feedback on how their answers relate to the answers of others): time spent on a working day for television in general, for political news on television, listening to the radio, reading newspapers, reading articles about politics and current political events, and using the Internet for private purposes. Demography (imported variables): sex; year of birth (categorised); highest school leaving certificate; highest occupational qualification; marital status; number of household members (household size); employment status; federal state; GIP sample (2012). Additionally coded was: Unique ID; household identifier and person identifier within the household; questionnaire evaluation (interesting, varied, relevant, long, difficult, too personal); overall assessment of the survey; no indication of further comments; allocation to experimental groups.
Temporal Coverage
  • 2012-07-01 / 2012-07-31
Geographic Coverage
  • Germany (DE)
Sampled Universe
German-speaking resident population aged 16-75 with and without Internet connection
Sampling Procedure Comment: Probability Sample: Multistage Sample
Collection Mode
  • Self-administered questionnaire: CAWI (Computer-Assisted Web Interview)
Data and File Information
  • Number of Variables: 121
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
  • ZA6959 (Type: ZA-No.)
  • 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: 20 | Registration Date: 2018-08-16