GESIS - DBK - ZA6757
 

ZA6757: German Internet Panel, Wave 25 - Core Study (September 2016)

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ZA6757 Downloads and Data Access

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List of Files
 

Datasets

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

Codebooks

  • ZA5866_cod_all.pdf (Codebook) 125 MBytes
  • ZA6757_cod.pdf (Codebook) 3 MBytes
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Bibliographic Citation

Citation Citation Blom, Annelies G.; Bruch, Christian; Felderer, Barbara; Gebhard, Franziska; Herzing, Jessica; Krieger, Ulrich; SFB 884 ´Political Economy of Reforms´, Universität Mannheim (2017): German Internet Panel, Wave 25 - Core Study (September 2016). GESIS Data Archive, Cologne. ZA6757 Data file Version 1.0.0, https://doi.org/10.4232/1.12755
Study No.ZA6757
TitleGerman Internet Panel, Wave 25 - Core Study (September 2016)
Current Version1.0.0, 2017-4-4, https://doi.org/10.4232/1.12755
Date of Collection01.09.2016 - 30.09.2016
Principal Investigator/ Authoring Entity, Institution
  • Blom, Annelies G. - Universität Mannheim
  • Bruch, Christian - Universität Mannheim
  • Felderer, Barbara - Universität Mannheim
  • Gebhard, Franziska - Universität Mannheim
  • Herzing, Jessica - Universität Mannheim
  • Krieger, Ulrich - 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. The questionnaire contains numerous experimental variations in the survey instruments and an experiment which is identical across all questionnaires. For more information see the study documentation. Topics: verification of first name, last name, sex, year of birth, mobile phone number and landline phone number; corrections; German citizenship; marital status; number of household members (household size); age and sex of up to 6 household members; relationship to each household member; principal residence; highest educational degree, highest professional degree. Professional situation: employment status or other activities; main employment status; previous employment status; occupational status; time limit employment; previous occupational status; previous time limit employment; economic sector; religion; religiousness; computer usage besides study; internet usage; daily internet usage; satisfaction with family, leisure time, financial situation, and work. Social activity: memberships (culture, environment, social cause, religion, youth organisation, civil action, professional, union, political party, other). Vote at last election; Sonntagsfrage; left-right self-placement; party identification. Economic situation: personal income (categories); number of income contributing persons; household income (categories); living space; number of rooms; property: number of houses / flats; number of cars; savings account, building loan contract, life insurance, fixed-interest securities, other securities, company assets, no investments); revenue investments. Additionally coded was: unique ID, GIP; household identifier and person identifier; date of the interview; online equipment at home; assignment to experimental groups; survey evaluation; assessment of the survey in total. Assigned variables: sex; year of birth (categories); highest educational degree; highest professional degree; marital status; number of household members (household size); employment status; residence state; year of recruitment; German citizenship; private internet usage.
Categories Categories
  • Political Attitudes and Behavior
  • Occupation, Profession
  • Income
  • Patterns of Consumption
  • Group
Topics Topics
  • 1.1 Working conditions
  • 1.5 Employment
  • 11.5 Mass political behaviour, attitudes/opinion
  • 17.2 Income, property and investment/saving
  • 17.4 Economic conditions and indicators
  • 13 Social stratification and groupings

Methodology

Geographic Coverage
  • Germany (DE)
UniversePersons aged 15 to 75 years, resident in private households
Sampling Procedure Sampling Procedure
Probability Sample: Multistage Sample
Mode of Collection Mode of Collection
Online survey Self-administered questionnaire: CAWI (Computer Assisted Web Interview)
Data Collectorforsa Marktforschung, Frankfurt am Main
Date of Collection
  • 01.09.2016 - 30.09.2016

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2017-4-4 first archive edition https://doi.org/10.4232/1.12755
Errata in current version
none
Version changes

Further Remarks

Links
NotesThe assigned variables contain, in addition to the data from this wave, also data from previous waves, if no data are available in this wave. The variables of the questionnaire, on the other hand, contain only data which were made in this wave.
Number of Units: 2904
Number of Variables: 142
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.