German Internet Panel, Wave 26 (November 2016)

Resource Type
Dataset : Survey and aggregate data
  • Blom, Annelies G. (Universität Mannheim)
  • Bruch, Christian (Universität Mannheim)
  • Felderer, Barbara (Universität Mannheim)
  • Gebhard, Franziska (Universität Mannheim)
  • Herzing, Jessica (Universität Mannheim)
  • Krieger, Ulrich (Universität Mannheim)
  • SFB 884 ´Political Economy of Reforms´, Universität Mannheim
Publication Date
  • forsa Marktforschung, Frankfurt am Main (Data Collector)
  • ZA:
    • Political Issues
    • Political Attitudes and Behavior
  • 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. The questionnaire contains numerous experimental variations in the survey instruments and an experiment which is identical across all questionnaires. For more information see the study documentation. Topics: Opinion on current political issues: ALG II: preference for the current or a revised regulation of the ALG II with respect to the standard rates and the supplementary income limit; expected impact of the amended ALG II regulation on the share of ALG II job-seeking recipients; perceived budget effect of the amended ALG II regulation on the financial situation of selected groups (the unemployed, low-income employees and high-income employees); perceived effect of this amended ALG-II regulation on own income; perceived effect of an anticipated general wage reduction of three per cent on labor demand; estimated percentage by which labor demand would increase or decrease; willingness to pay for this reform, if the own standard of living would increase; amount of such financial compensation. Satisfaction with the achievements of the federal government (scale); satisfaction with the achievements of the parties CDU / CSU, Bündnis90 / Die Grünen, SPD and Die Linke (scale); unity of the federal government and of the party CDU; political interest; estimated influence of Federal Chancellor Angela Merkel on legislation; satisfaction with the achievements of Angela Merkel as Federal Chancellor; problem solving competence of Federal Chancellor Angela Merkel; vote choice on state level (second vote, Sunday question, state of the main residence); unity of the state government and of the parties on state level; estimated influence of the prime minister on legislation on state level; satisfaction with the achievements of the prime minister (scale); problem-solving competence of the prime minister. Opinion on a school safety law due to rampage; preferred candidate as a judge of the Federal Constitutional Court, on the basis of selected attributes: occupation, closeness to a party, selection, age, origin, gender, and marital status; satisfaction with the respective candidates 1 and 2 if they were elected as a judge of the Federal Constitutional Court; left-right self-placement; left-right-placement of the Federal Government and of the Federal Constitutional Court; knowledge of the acting president and of a judge of the Federal Constitutional Court; left-right placement of parties (CDU, CSU, SPD, FDP, Bündnis90 /Die Grünen, Die Linke, and Alternative für Deutschland. Additionally coded was: unique ID, GIP; household identifier and person identifier; date of the interview; current online status; assignment to experimental groups; survey evaluation; assessment of the survey in total. Assigned variables: sex; year of birth (categories); highest educational degree; highest professional degree; marital status; number of household members (household size); employment status; residence state; year of recruitment; German citizenship; private internet usage.
Temporal Coverage
  • 2016-11-01 / 2016-12-01
Geographic Coverage
  • Germany (DE)
Sampled Universe
Persons aged 15 to 75 years, resident in private households
Sampling Procedure Comment: Probability Sample: Multistage Sample
Collection Mode
  • Online survey Self-administered questionnaire: CAWI (Computer Assisted Web Interview)
Data and File Information
  • Number of Variables: 184
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
  • ZA6758 (Type: ZA-No.)
  • 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: 16 | Registration Date: 2017-06-01