GESIS - DBK - ZA7592
 

ZA7592: German Internet Panel, Wave 43 - Core Study (September 2019)

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List of Files

List of Files
 

Datasets

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

Codebooks

  • ZA5866_cod_all.pdf (Codebook) 190 MBytes
  • ZA7592_cod.pdf (Codebook) 7 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 43 - Core Study (September 2019). GESIS Data Archive, Cologne. ZA7592 Data file Version 2.0.0, https://doi.org/10.4232/1.13586
Study No.ZA7592
TitleGerman Internet Panel, Wave 43 - Core Study (September 2019)
Current Version2.0.0, 2020-8-25, https://doi.org/10.4232/1.13586
Date of Collection01.09.2019 - 30.09.2019
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

Content

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. 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.
Categories Categories
  • Political Attitudes and Behavior
  • Occupation, Profession
  • Income
  • Society, Culture
Topics Topics
  • 5.3 Cultural activities and participation
  • 5.6 Social conditions and indicators
  • 5.8 Social behaviour and attitudes
  • 11.5 Mass political behaviour, attitudes/opinion
  • 17.4 Economic conditions and indicators

Methodology

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
  • 01.09.2019 - 30.09.2019

Errata & Versions

VersionDate, Name, DOI
2.0.0 (current version)2020-8-25 variable "hh_income_19" added, "AA43023" recoded https://doi.org/10.4232/1.13586
1.0.02020-3-16 first archive edition https://doi.org/10.4232/1.13466
Errata in current version
none
Version changes

Further Remarks

Links
Number of Units: 4622
Number of Variables: 121
Analysis System(s): SPSS, Stata

Publications

Publications
  • 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. 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
Relevant full texts
from SSOAR (automatically assigned)

Groups

Groups
  • 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.