GESIS - DBK - ZA6957

ZA6957: German Internet Panel, Wave 37 - Core Study (September 2018)

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ZA6957 Downloads and Data Access

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List of Files


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


  • ZA5866_cod_all.pdf (Codebook) 190 MBytes
  • ZA6957_cod.pdf (Codebook) 4 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 37 - Core Study (September 2018). GESIS Data Archive, Cologne. ZA6957 Data file Version 2.0.0,
Study No.ZA6957
TitleGerman Internet Panel, Wave 37 - Core Study (September 2018)
Current Version2.0.0, 2020-8-25,
Date of Collection01.09.2018 - 31.03.2019
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: Verification of first name, surname, sex and year of birth and, if necessary, correction of the information stored in the database; verification of mobile phone number and landline number and, if necessary correction of the information; German citizenship; marital status; number of household members (household size); age and sex of these persons and their relationship to the respondent; principal residence; highest educational degree; highest professional qualification; occupational situation (full-time employment, part-time employment, partial retirement, minijob, one-euro job, irregular employment, vocational training, occupational retraining, federal volunteer service, gab year, parental leave, pupil, student, pensioner, unemployed, permanently unable to work, housewife/househusband); main employment status; previous employment status; current or previous occupational status (employed, self-employed or assisting family member); time limit of employment contract; (last) employment in the public service; economic sector of (last) employment; religion; self-assessment of religiousness; frequency of use of computers outside the study; frequency of Internet usage for private purposes; frequency of daily internet usage; satisfaction with selected areas of life (family life, leisure time, financial situation, work); social activity: Membership (active, passive) in various organisations and associations (sports, music or cultural association, human rights, environmental or animal protection association, charity or aid organisation, religious or church organisation, youth, parents or senior citizens´ association, citizens´ initiative, professional association, trade union, political party, other (open)); Left-right self-placement; left-right placement of the parties CDU/CSU, SPD, FDP, Bündnis90/ Die Grünen, Die Linke and AfD; party affiliation and party identification; self-characterisation (Big Five): reserved, trusting, lazy, relaxed, few artistic interest, sociable, find fault with others, thorough, nervous and insecure, active imagination); financial situation: personal net income (categories); number of persons contributing to household income; respondent contributes to household income; net household income; voting behaviour in the last federal election (second vote). 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 was: respondent ID; household ID, GIP; person ID (within household); year of recruitment (2012, 2014); interview date; current online status. Questionnaire evaluation (interesting, varied, relevant, long, difficult, too personal); overall evaluation of the survey; respondent made further comments on the questionnaire.
Categories Categories
  • Income
  • Person, Personality, Role
Topics Topics
  • 13 Social stratification and groupings


Geographic Coverage
  • Germany (DE)
UniversePersons aged between 16 and 75 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
  • 01.09.2018 - 31.03.2019

Errata & Versions

VersionDate, Name, DOI
2.0.0 (current version)2020-8-25 variable "hh_income_18" added, in "AA37055" missings recoded
1.0.02019-11-20 first archive edition
Errata in current version
Version changes

Further Remarks

Number of Units: 5411
Number of Variables: 133
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.