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German Internet Panel, Wave 28 (March 2017)

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 Attitudes and Behavior
    • Occupation, Profession
  • CESSDA Topic Classification:
    • Employment
    • Information technology
    • Elections
    • Gender and gender roles
  • 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: possession of mobile phone, computer or laptop and tablet; mobile phone is Smartphone; Smartphone type; equipment used for Internet access; Social Media: use of different applications (such as Facebook, Instagram, etc.) on the Internet or as a mobile app; knowledge of the difference between an EU regulation and an EU directive; initiative of an EU directive; language skills in French, English, Spanish and Italian; knowledge of an important French institution; equal opportunities in work life in Germany; responsibility of the state for gender equality in work life; estimated share of women in supervisory boards of large publicly traded companies in Germany; support of the legal women´s quota for supervisory boards; most important reason for the support or rejection of the women´s quota; professional activity: number of coworkers; leading position; attitude towards work position; gender distribution of coworkers and of superiors; gender balance in the company; European Union (EU): meaning of the European Union for the respondent personally; voting behavior in a referendum on Germany´s remaining in the EU (Sunday question); attitude towards the EU (anti-europeanism); politics in the state of North-Rhine Westphalia (Saarland, Schleswig-Holstein): expected percent seats after the federal state elections for the parties CDU, SPD, Bündnis90 / Die Grünen, Die Linke, FDP, AfD and SSW; expected federal state government after the federal state elections; prediction federal state government: party of the Prime Minister, Minister of Finance, Minister of the Interior, and Minister of Education; party with the strongest assertiveness within the federal state government. Demography (assigned variables): sex; year of birth (categorized); 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; current online status. Additionally coded was: Unique-ID, GIP; household identifier and person identifier within the household; date of the interview; assignment to experimental groups; survey evaluation (interesting, varied, relevant, long, difficult, too personal); assessment of the survey in total; activation of JavaScript; federal state from which the respondent participated in the survey; participation in the survey outside Germany; place from which the survey was conducted (at home, at work, at family or acquaintance, public place, on the road or elsewhere); permission to read out geodata.
Temporal Coverage
  • 2017-03-01 / 2017-04-02
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
  • Online survey Self-administered questionnaire: CAWI (Computer Assisted Web Interview)
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
  • ZA6902 (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

Update Metadata: 2020-10-21 | Issue Number: 19 | Registration Date: 2017-09-28

Blom, Annelies G.; Bruch, Christian; Felderer, Barbara; Gebhard, Franziska; Herzing, Jessica et. al. (2017): German Internet Panel, Welle 28 (März 2017). Version: 1.0.0. GESIS Datenarchiv. Dataset.