GESIS - DBK - ZA6902

ZA6902: German Internet Panel, Wave 28 (March 2017)

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  • ZA5866_data_access.pdf (User Contract) 47 KBytes
  • ZA5866_Datenzugang.pdf (User Contract) 33 KBytes


  • ZA5866_cod_all.pdf (Codebook) 131 MBytes
  • ZA6902_cod.pdf (Codebook) 4 MBytes
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Bibliographic Citation

Citation Citation Blom, Annelies G.; Bruch, Christian; Felderer, Barbara; Gebhard, Franziska; Herzing, Jessica; Krieger, Ulrich; SFB 884 ´Political Economy of Reforms´, Universität Mannheim (2017): German Internet Panel, Wave 28 (March 2017). GESIS Data Archive, Cologne. ZA6902 Data file Version 1.0.0,
Study No.ZA6902
TitleGerman Internet Panel, Wave 28 (March 2017)
Current Version1.0.0, 2017-9-28,
Date of Collection01.03.2017 - 02.04.2017
Principal Investigator/ Authoring Entity, Institution
  • 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


AbstractThe 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.
Categories Categories
  • Occupation, Profession
  • Political Attitudes and Behavior
Topics Topics
  • 1.5 Employment
  • 18.2 Information technology
  • 11.7 Elections
  • 13.4 Gender and gender roles


Geographic Coverage
  • Germany (DE)
UniversePersons aged 15 to 75 years, resident in private households at the time of recruitment
Sampling Procedure Sampling Procedure
Probability Sample: Multistage Sample
Mode of Collection Mode of Collection
Online survey Self-administered questionnaire: CAWI (Computer Assisted Web Interview)
Data Collectorforsa Marktforschung, Frankfurt am Main
Date of Collection
  • 01.03.2017 - 02.04.2017

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2017-9-28 first archive edition
Errata in current version
Version changes

Further Remarks

Analysis System(s): SPSS, Stata


  • 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.
Relevant full texts
from SSOAR (automatically assigned)


  • German Internet Panel
    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 data obtained this way form the empirical basis.
    A cumulative questionnaire documentation (in German) can be downloaded here.