German Internet Panel, Wave 43 - Core Study (September 2019)

Version
2.0.0
Resource Type
Dataset : Survey and aggregate data
Creator
  • 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
Publication Date
2020-08-25
Contributor
  • forsa Marktforschung, Frankfurt am Main (Data Collector)
Language
German
Classification
  • ZA:
    • Political Attitudes and Behavior
    • Occupation, Profession
    • Income
    • Society, Culture
  • CESSDA Topic Classification:
    • Cultural activities and participation
    • Social conditions and indicators
    • Social behaviour and attitudes
    • Mass political behaviour, attitudes/opinion
    • Economic conditions and indicators
Description
  • 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. Topics: Verification of recorded personal data of the respondent, such as surname, first name, sex, year of birth, mobile phone number and landline number (information correct or incorrect) and, if necessary, correction of previous information or addition of mobile phone number and landline number; German citizenship; household composition: age and sex of all household members and their relationship to the respondent; federal state of principal residence; highest educational degree; highest professional qualification; current (professional) activity; current or previous employment; current or last main employment status; current or last occupational status; time limit of the current or last employment contract; current or previous employment in the public sector; economic sector; religion; self-assessment of religiousness; frequency of computer use besides the study Gesellschaft im Wandel; frequency of Internet usage; daily Internet usage; satisfaction with selected areas of life (family life, leisure time, financial situation and work); social activities: active or passive membership in selected organisations and associations (sports, music or cultural club, 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); left-right self-placement; left-right party placement (CDU/CSU, SPD, FDP, Bündnis 90/Die Grünen, Die Linke and AfD); party affiliation and party identification; financial situation: personal net income (classified); number of income contributing persons; respondent contributes to household income; net household income (classified); voting behaviour in the last federal election. Demography: sex; age (year of birth, categorized); highest educational degree; highest professional degree; 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, 2018); interview date; current online status; respondent did not provide information to verify recorded personal information.
Temporal Coverage
  • 2019-09-01 / 2019-09-30
Geographic Coverage
  • Germany (DE)
Sampled Universe
Persons between the ages of 16 and 75 who were living in private households at the time of recruitment
Time Dimension
  • Longitudinal: Panel
Collection Mode
  • Self-administered questionnaire: Web-based
Data and File Information
  • Number of Variables: 121
Availability
Delivery
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.
Rights
All metadata from GESIS DBK are available free of restriction under the Creative Commons CC0 1.0 Universal Public Domain Dedication. However, GESIS requests that you actively acknowledge and give attribution to all metadata sources, such as the data providers and any data aggregators, including GESIS. For further information see https://dbk.gesis.org/dbksearch/guidelines.asp
Alternative Identifiers
  • ZA7592 (Type: ZA-No.)
Relations
  • Is new version of
    DOI: 10.4232/1.13466
Publications
  • Steinacker, G.; Schmidt, S.; Schneekloth, U. (2012): German Internet Panel (GIP): Stichprobenziehung und Rekrutierung der Teilnehmer. München: TNS Infratest Sozialforschung, Feldbericht zur Erhebung 2012
  • Steinacker, G.; Schmidt, S. (2014): German Internet Panel (GIP): Stichprobenziehung und Rekrutierung der Teilnehmer. München: TNS Infratest Sozialforschung, Feldbericht zur Erhebung 2014
  • 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. https://doi.org/10.1177/1525822X15574494
  • 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. https://doi.org/10.1177/0894439316651584
  • 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. doi.org/10.1177/0894439318774758
  • Felderer, B., & Blom, A. G. (2019). Acceptance of the automated online collection of geographical information. Sociological Methods & Research, 1-21. https://doi.org/10.1177/0049124119882480

Update Metadata: 2020-11-16 | Issue Number: 14 | Registration Date: 2020-08-25