GESIS - DBK - ZA5872

ZA5872: German Internet Panel, Wave 7 - Core Study (September 2013)

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


  • ZA5866_cod_all.pdf (Codebook) 109 MBytes
  • ZA5872_cod.pdf (Codebook) 5 MBytes
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Bibliographic Citation

Citation Citation Blom, Annelies G.; Bossert, Dayana; Gebhard, Franziska; Funke, Frederik; Holthausen, Annette; Krieger, Ulrich; SFB 884 ´Political Economy of Reforms´Universität Mannheim (2016): German Internet Panel, Wave 7 - Core Study (September 2013). GESIS Data Archive, Cologne. ZA5872 Data file Version 2.0.0,
Study No.ZA5872
TitleGerman Internet Panel, Wave 7 - Core Study (September 2013)
Current Version2.0.0, 2016-8-23,
Date of Collection01.09.2013 - 01.10.2013
Principal Investigator/ Authoring Entity, Institution
  • Blom, Annelies G. - Universität Mannheim
  • Bossert, Dayana - Universität Mannheim
  • Gebhard, Franziska - Universität Mannheim
  • Funke, Frederik - Universität Mannheim
  • Holthausen, Annette - 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. Experimental variations in the instruments were used. The questionnaire contains a cross-questionnaire experiment. Topics: Verification of the respondent´s stored data such as surname, first name, sex, year of birth, mobile phone number and landline number and, if applicable, correction of sex and year of birth or addition of mobile phone number and landline number (correct or incorrect); German citizenship or indication of foreign citizenship; household composition: age and sex of all household members and their relationship to the respondent; current or previous employment status and respective occupational status; denomination or religion; religiosity; years of regular computer use; BenPC use only since the beginning of the survey; frequency of use of other computers in addition to the BenPC; self-assessment of computer skills; frequency of private Internet use; several e-mail addresses; frequency and time of e-mail retrieval per week; time of completion of the questionnaire after receipt of the invitation by e-mail (directly or later); satisfaction scale for selected areas of life (family life, leisure time, financial situation and work); social activities: active or passive memberships in selected organisations and associations (sports, music or cultural associations, human rights, environmental or animal welfare associations, charitable or relief organisations, religious or church organisations, youth, parents´ or senior citizens´ associations, citizens´ initiatives, professional associations, trade unions, political parties or others); left-right self-rating (scalometer); left-right-rating of the parties CDU, CSU, SPD, FDP, Bündnis 90/Die Grünen, Die Linke, NPD, Piratenpartei and Alternative für Deutschland (scalometer); party affiliation and party identification; internal and external political effectiveness (politicial efficacy): good understanding of important political issues; politicians strive for close contact with the population; trust in one´ s own political knowledge in political conversations; politicians care about what ordinary people think; financial situation: personal net income (classified); number of people contributing to household income; household net income (classified). Demography: sex; citizenship; year of birth (categorised); highest school leaving certificate; highest professional qualification; marital status; household size; employment status; federal state. Additionally coded was: interview date; questionnaire evaluation; assessment of the survey as a whole; unique ID, household identifier and person identifier within the household.
Categories Categories
  • Person, Personality, Role
  • Income
  • Political Attitudes and Behavior
  • Leisure
Topics Topics
  • 5.3 Cultural activities and participation
  • 5.1 Leisure, tourism and sport
  • 11.5 Mass political behaviour, attitudes/opinion
  • 17.4 Economic conditions and indicators


Geographic Coverage
  • Germany (DE)
UniverseResidents in private households between 16 and 75 years of age
Sampling Procedure Sampling Procedure
Multistage proportionate stratified random sample (ADM-Random-Route)
Mode of Collection Mode of Collection
Self-administered questionnaire: CAWI (Computer Assisted Web Interview)
Data CollectorTNS Infratest Sozialforschung, München (F2F-recruitment); LINK, Frankfurt (online survey)
Date of Collection
  • 01.09.2013 - 01.10.2013

Errata & Versions

VersionDate, Name, DOI
2.0.0 (current version)2016-8-23 new: private internet usage, citizenship, year of birth (categorised); deleted: age
1.0.02014-11-20 first archive edition
Errata in current version
Version changes

Further Remarks

Number of Units: 1100
Number of Variables: 186
Analysis System(s): SPSS, Stata


  • 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.