German Internet Panel, Wave 30 (July 2017)

Resource Type
Dataset : Survey and aggregate data
  • Blom, Annelies G. (Universität Mannheim)
  • Felderer, Barbara (Universität Mannheim)
  • Herzing, Jessica (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 Institutions
    • Political Attitudes and Behavior
  • CESSDA Topic Classification:
    • Mass political behaviour, attitudes/opinion
    • Government, political systems and organisation
    • Elections
  • 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. The questionnaire contains numerous experimental variations in the survey instruments. For more information, see the study documentation. Topics: Social justice: success depends on hard work vs. luck; fairness in retaining earnings, even though some are richer than others; demand for greater redistribution of income by the state; market economy in Germany is social; demand for state measures to reduce income disparities; inheritance tax in Germany too low vs. too high; inheritance tax should be increased; development of global income inequality is to be viewed positively; rising incomes in emerging markets at the expense of the lower middle class in industrialized countries; personal benefit from globalization; opinion on the dependence of wages on effort respectively on productivity; most important argument for the introduction of a minimum wage; party preference (sunday question); assessment of the statements of the parties CDU/CSU, SPD, FDP, Bündnis 90/Die Grünen, Die Linke and AfD on the implementation of reforms as vague or accurate; left-right classification of the aforementioned parties; left-right self-classification; ideological position of the current Federal Constitutional Court or respectively of the Federal Government; consent to statements relating to the Federal Constitutional Court: demand for the dismissal of federal constitutional judges who are constantly deciding against the will of the majority of the population; federal constitutional judges, like politicians, are not relying on decisions in the best interests of the state; completely abolishing the Federal Constitutional Court in decisions without the consent of the majority of the population; excessive interference by the Federal Constitutional Court in politics; demand that the power of the Federal Constitutional Court be restricted to certain decisions; manipulation test of the ideological position of the current Federal Constitutional Court respectively of the Federal Government; knowledge test: knowledge of the parties represented in the Federal Government; assessment of the result of the coalition on a left-right scale due to the ideological placement of four hypothetical parties; evaluation of a fictitious trade agreement respectiveley an environmental agreement between the European Union and Australia (conditions: public access to information on each stage of the negotiations, no public access to information on the negotiations, only provision of the results after the negotiations have been concluded on the Internet); intention to vote AfD in the forthcoming Bundestag elections (Randomized-Response-Technique. List experiment); expected election result (percent of the second vote) of the AfD in the upcoming Bundestag election (open); preferred role of a party leader in the party; role of Martin Schulz as party leader of the SPD; evaluation of Martin Schulz´s competence as party leader of the SPD; percent threshold in local elections in the state of residence; participation in the last local elections; change of personal voting behaviour without a percent threshold in local elections (would have been more likely to vote for another party). Demography (imported variables): sex; year of birth (categorised); highest educational degree; highest professional qualification; marital status; number of household members (household size); employment status; federal state; year of recruitment; german citizenship; private internet usage. Additionally coded was: unique ID, GIP; household ID, GIP; person ID within the household; interview date; current online status; allocation to the experimental groups; questionnaire evaluation (interesting, varied, relevant, long, difficult, too personal); assessment of the survey in total. In addition, the data set contains various time tracking variables (length of stay on different question pages and time stamp for the start and end of visiting different question pages).
Temporal Coverage
  • 2017-07-01 / 2017-08-01
Geographic Coverage
  • Germany (DE)
Sampled Universe
Persons aged 15 to 75 years, resident in private households at the time of recruitment
Sampling Procedure Comment: Probability Sample: Multistage Sample
Collection Mode
  • Onlinesurvey Self-administered questionnaire: CAWI (Computer-Assisted Web Interview)
Data and File Information
  • Number of Variables: 123
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
  • ZA6904 (Type: ZA-No.)
  • Is new version of
    DOI: 10.4232/1.12977
  • Steinacker, G.; Schmidt, S. (2014): German Internet Panel (GIP): Stichprobenziehung und Rekrutierung der Teilnehmer. München: TNS Infratest Sozialforschung, Feldbericht zur Erhebung 2014
  • 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: 17 | Registration Date: 2018-10-04