German Internet Panel, Wave 34 (March 2018)

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
  • forsa Marktforschung, Frankfurt am Main (Data Collector)
  • ZA:
    • Political Attitudes and Behavior
    • Budget and Fiscal Policy
    • Technology, Energy
  • CESSDA Topic Classification:
    • Information society
    • Mass media
    • Mass political behaviour, attitudes/opinion
    • Economic systems and development
    • Information technology
  • 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. The questionnaire contains numerous experimental variations in the survey instruments. Further information can be found in the study documentation. New technology usage: Internet and Smartphone. Opinion on the topics technology and Internet. Political attitudes. Topics: New technologies: frequency of Internet usage at home or at work; Non-users: reasons for non-use of the Internet; most important reason for non-use of the Internet; Internet users: devices for Internet usage; Internet device most frequent; Smartphone usage: phone location while using the Internet; phone display orientation and phone handling; types of Internet activities; opinion on technology: technology trying is good; technology at home stay up-to-date; opinion on Internet: Internet simplifies life; simplifies communication between people; easy navigation; personal problem-solving skills regarding the devices used; demands for anonymous opinion on the Internet; legitimate concerns about the security of credit card when paying on the Internet; Internet as a threat to privacy; difficulties in deleting self-published information; trust in the quality of products on the Internet; trust in the quality of news on the Internet; Internet destroys regional jobs; surveillance threatens privacy. Political attitudes: trust in the actions of the federal government; opinion on tax wastage; economic left right placement; party preference (Sunday question); opinion on tax competition between states; opinion on international coordination; opinion on the general tax load in Germany; main reasons for taxation (financing state tasks, redistribution of income, contributing to society - ranking); main consequences of an increase in the tax on corporate profits (higher consumer prices, lower wages of employees, dismissal of employees, lower corporate profits - ranking); satisfaction with democracy; expected role of Andrea Nahles as future party leader of the SPD; assessment of the competence of Andrea Nahles as chair of the SPD; role of Martin Schulz as former party leader of the SPD; assessment of the competence of Martin Schulz as chair of the SPD. Experiment on the taxation of corporate profits in three hypothetical countries with selected political and economic framework conditions (attributes: The level of national debt, inequality of income, size of the country, tax policy of neighbouring countries, integration into world trade and possibilities for companies to transfer profits abroad) with various questions: Level of taxation of corporate profits; proportion of profits that companies are expected to pay to the state as taxes (in percent); higher taxation of corporate profits vs. wages and salaries; use for stronger international cooperation in the taxation of corporate profits; priority level of the aforementioned attributes (level of national debt, inequality of income, size of the country, tax policy of neighbouring countries, integration into world trade and possibilities for the company to transfer profits abroad) for personal decision in the previous scenarios. Demography (variables added): sex; age (year of birth categories); highest educational degree; highest professional qualification; marital status; number of household members (household size); employment status; residence state; year of recruitment; German citizenship; private Internet usage. Additionally coded: Unique ID identifier; household identifier and person identifier within the household; interview date; current online status; questionnaire evaluation (interesting, varied, relevant, long, difficult, too personal); overall assessment of the survey; further comments.
Temporal Coverage
  • 2018-03-01 / 2018-04-02
Geographic Coverage
  • Germany (DE)
Sampled Universe
Persons aged between 16 and 75 living in private households at the time of recruitment
Probability: Multistage; Sampling Procedure Comment: Probability Sample: Multistage Sample
Collection Mode
  • Self-administered questionnaire: Web-based
  • Self-administered questionnaire: CAWI (Computer Assisted Web Interview)
Data and File Information
  • Number of Variables: 143
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
  • ZA6954 (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
  • 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: 19 | Registration Date: 2018-10-08