GESIS - DBK - ZA7591

ZA7591: German Internet Panel, Wave 42 (July 2019)

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  • ZA5866_data_access.pdf (User Contract) 62 KBytes
  • ZA5866_Datenzugang.pdf (User Contract) 56 KBytes


  • ZA5866_cod_all.pdf (Codebook) 190 MBytes
  • ZA7591_cod.pdf (Codebook) 11 MBytes
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Bibliographic Citation

Citation Citation Blom, Annelies G.; Fikel, Marina; Friedel, Sabine; Höhne, Jan Karem; Krieger, Ulrich; Rettig, Tobias; Wenz, Alexander; SFB 884 ´Political Economy of Reforms´, Universität Mannheim (2020): German Internet Panel, Wave 42 (July 2019). GESIS Data Archive, Cologne. ZA7591 Data file Version 1.0.0,
Study No.ZA7591
TitleGerman Internet Panel, Wave 42 (July 2019)
Current Version1.0.0, 2020-3-16,
Date of Collection01.07.2019 - 01.08.2019
Principal Investigator/ Authoring Entity, Institution
  • Blom, Annelies G. - Universität Mannheim
  • Fikel, Marina - Universität Mannheim
  • Friedel, Sabine - Universität Mannheim
  • Höhne, Jan Karem - Universität Mannheim
  • Krieger, Ulrich - Universität Mannheim
  • Rettig, Tobias - Universität Mannheim
  • Wenz, Alexander - 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. For further information, please refer to the study documentation. Topics: Political efficacy (understanding and assessing political issues well, politicians strive to maintain close contact with the population, participation in discussions on political issues, contact between politicians and citizens); political interest; importance of environmental issues/ gender issues; self-characterisation (Big 5: trusting, little artistic interest, tend to criticize others, active imagination); life satisfaction; performance motivation (enjoy competing with others, satisfaction through better performance compared to others, strive to be better than others, make more effort when competing with others, strive to be one of the best in one´s own field of work); work motivation: intrinsic work motivation (working independently, using one´s own talents and skills, tasks that require a sense of responsibility, realising one´s own ideas); extrinsic work motivation (high income, good opportunities for advancement, clear career prospects). EU: voting decision in the 2019 elections to the European Parliament; opinion on European unification; classification of the views of parties on European unification (CDU/CSU, SPD, Die Linke, Bündnis 90/ Die Grünen, FDP, AfD); classification of the views of the European Parliament on European unification; left-right classification of the European Parliament; advocacy of abolition of the EU if most people do not agree with EU decisions; satisfaction with the achievements of the EU; agreement on various statements: bad for the German economy/cultural life in Germany is undermined when people come from other countries to live here (nativism); good understanding and assessment of important EU policy issues or Politicians in the EU care about what people think (internal/external political efficacy). Experiment to collect additional information using a JavaScript: Consent to automatic recording of keystrokes and mouse clicks/ of GPS data in addition to the survey data; main reason for giving consent or refusing consent to automatic recording; technical understanding: understanding of keystrokes and mouse clicks/ of GPS data/ automatic recording of additional information by a JavaScript. Survey length (general and online) (in minutes); ideal length and maximum length of a survey (general and online) in which the respondent would participate (in minutes); recall policy interest; repeat policy interest response; security recall policy interest. Demography: sex; age (year of birth, categorized); highest educational degree; highest professional qualification; marital status; household size; employment status; German citizenship; frequency of private Internet usage; federal state. Additionally coded: respondent ID; household ID, GIP; person ID (within the household); year of recruitment (2012, 2014, and 2018); interview date; current online status; assignment to experimental groups. Questionnaire evaluation (interesting, varied, relevant, long, difficult, too personal); assessment of the survey as a whole; respondent made further comments on the questionnaire.
Categories Categories
  • International Institutions, Relations, Conditions
  • Political Attitudes and Behavior
  • Person, Personality, Role
Topics Topics
  • 11.2 International politics and organisation
  • 11.5 Mass political behaviour, attitudes/opinion
  • 11.6 Government, political systems and organisation
  • 12 Psychology


Geographic Coverage
  • Germany (DE)
UniversePersons between the ages of 16 and 75 who were living in private households at the time of recruitment
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Probability: Multistage
Mode of Collection Mode of Collection
  • Self-administered questionnaire: Web-based (CAWI)
Time Method Time Method
  • Longitudinal: Panel
Kind of Data Kind of Data
  • Numeric
Data Collectorforsa Marktforschung, Frankfurt am Main
Date of Collection
  • 01.07.2019 - 01.08.2019

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2020-3-16 first archive edition
Errata in current version
Version changes

Further Remarks

Number of Units: 4714
Number of Variables: 177
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.