German Internet Panel, Wave 13 - Core Study (September 2014)

Resource Type
Dataset : Survey and aggregate data
  • 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´
Publication Date
  • LINK, Frankfurt (Online survey) (Data Collector)
  • ZA:
    • Political Attitudes and Behavior
    • Communication, Public Opinion, Media
  • CESSDA Topic Classification:
    • Mass political behaviour, attitudes/opinion
    • Information technology
  • 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 as well as a cross-questionnaire experiment. Further information can be found in the study documentation. Topics: German citizenship or indication of foreign citizenship; number of household members (household size); age (classified) and gender of persons in the household and their relationship to the respondent; current or former employment status; current or former occupational position; religion; self-assessment of religiousness; computer use outside the survey; confidence in using computers; satisfaction scale for selected areas of life (family life, leisure, financial situation and work); social activity: active or passive membership in selected associations and organisations (sports, music or cultural associations, human rights, environment 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); voting behaviour in the last Bundestag election (second vote); party preference (Sunday question); left-right self-assessment; left-right-assessment of the parties CDU, CSU, SPD, FDP, Bündnis 90/Die Grünen, Die Linke, NPD, Piratenpartei and Alternative für Deutschland; party affiliation and party identification; internal political effectiveness (Efficacy: good understanding of important political issues, reliance on one´s own political expertise in political discussions); external political effectiveness (politicians strive for close contact with the population, politicians care what ordinary people think); psychological self-characterization (Big 5: reserved, trusting, lazy, relaxed, little artistic interest, sociable, inclination to criticize others, thorough, nervous, active imagination); financial situation: personal net income; number of people contributing to household income; household net income. The following questions were asked only to participants who had taken part in the 1st or 2nd wave of the survey: Sample 2012: German citizenship or indication of foreign citizenship; marital status; federal state of main residence; highest school leaving certificate; highest vocational qualification; frequency of Internet use for private purposes. Sample 2014: Years of professional and private computer use; display of the checkbox ´erst seit Beginn der Teilnahme an der Studie´; use of several e-mail addresses; frequency of e-mail retrievals within one week; time at which e-mails are retrieved; completion of questionnaire directly after receipt of e-mail with invitation to a new survey or at a later time. Demography: sex; citizenship; year of birth (categorised); highest school leaving certificate; highest vocational qualification; marital status; number of household members (household size); employment status; federal state; year of recruitment. Additionally coded was: interview date; questionnaire evaluation; assessment of the survey as a whole; answer field further comments were not filled in; unique ID, household identifier and person identifier within the household; experimental variables.
Temporal Coverage
  • 2014-07-01 / 2015-03-30
Geographic Coverage
  • Germany (DE)
Sampled Universe
Resident population in private households between 16 and 75 years of age
Collection Mode
  • Self-administered questionnaire: CAWI (Computer Assisted Web Interview)
Data and File Information
  • Number of Variables: 193
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.
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Alternative Identifiers
  • ZA5924 (Type: ZA-No.)
  • Is new version of
    DOI: 10.4232/1.12178
  • 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., 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.

Update Metadata: 2021-04-07 | Issue Number: 20 | Registration Date: 2016-08-23