GESIS - DBK - ZA6953
 

ZA6953: German Internet Panel, Wave 33 (January 2018)

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Datasets

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

Codebooks

  • ZA5866_cod_all.pdf (Codebook) 160 MBytes
  • ZA6953_cod.pdf (Codebook) 5 MBytes
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Bibliographic Citation

Citation Citation Blom, Annelies G.; Felderer, Barbara; Höhne, Jan Karem; Krieger, Ulrich; Rettig, Tobias; SFB 884 ´Political Economy of Reforms´, Universität Mannheim (2018): German Internet Panel, Wave 33 (January 2018). GESIS Data Archive, Cologne. ZA6953 Data file Version 2.0.0, https://doi.org/10.4232/1.13155
Study No.ZA6953
TitleGerman Internet Panel, Wave 33 (January 2018)
Current Version2.0.0, 2018-10-8, https://doi.org/10.4232/1.13155
Date of Collection01.01.2018 - 31.01.2018
Principal Investigator/ Authoring Entity, Institution
  • Blom, Annelies G. - Universität Mannheim
  • Felderer, Barbara - Universität Mannheim
  • Höhne, Jan Karem - Universität Mannheim
  • Krieger, Ulrich - Universität Mannheim
  • Rettig, Tobias - 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. For more information, see the study documentation. Topics: Responsibility of the state for adequate health care for the sick; more or less expenditure of the state and the statutory health insurance fund for the health system; self-assessment of the state of health; type of health insurance; (professional) activity; start of unemployment (year); ever unemployed for more than 3 months; unemployed at least once for more than 3 months in the last 5 years; probability of own unemployment in the next 12 months; estimated proportion of unemployed in Germany; responsibility of the state for an adequate standard of living in old age; more or less expenditure of the state and the statutory pension insurance for pensions; preferred statutory retirement age in Germany; actual or expected age at retirement; preferred age for personal retirement; receipt of pension payments in 2017 from various sources; last year´s contributions to selected types of old-age provision; financing of pensions mainly by the state, the statutory pension scheme, employers and employees or by each individual; responsibility of the state for an adequate standard of living for the unemployed; more or less government expenditure for supporting the unemployed; advocacy of the nationwide statutory minimum wage vs. no statutory minimum wage; responsibility of the state for adequate care for elderly people in need of care; preference for long-term care (at home vs. retirement home); priority family policy (cash benefits and tax breaks, expansion of childcare or neither); responsibility of the state to ensure equal professional opportunities for men and women; support of the statutory quota for women on the supervisory boards of large listed companies; refugees: approval of a generous examination of asylum applications by the state; approval of the right to family reunion for refugees with granted asylum applications; happiness or effort decisive for financial success in Germany; responsiveness of the European Union to the wishes of citizens vs. responsibility and effectiveness; populism: politics as a struggle between righteous people and a corrupt elite; political and social goals best achieved through direct action rather than through politicians; better governance through independent expert decisions; importance of compromise in a democracy; better to abolish the EU completely if these decisions were taken without the consent of most people; satisfaction with the achievements of the EU; confidence in the decision-making competence of the EU; perception of the connection between the incomes of parents and adult children (social mobility); approval of more redistribution of income (by reducing income differences through taxes and transfer payments); more or less expenditure of the Federal Government for the education system; year of birth of the child (categorised); respondent / child: student status; subject of study; receipt of BAföG or BAföG application. Experiment: distribution of real sums of money to randomly selected participants in the survey in different decision-making situations (income group of the other player). Demography (variables passed on): sex; year of birth (categorised); highest school leaving certificate; highest professional qualification; marital status; number of household members (household size); employment status; federal state; year of recruitment; German citizenship; private Internet use. Additionally coded was: unique ID code; household code and person code within the household; interview date; current online status; questionnaire evaluation (interesting, varied, relevant, long, difficult, too personal); overall assessment of the survey; activation of JavaScript; allocation to main groups; allocation to experimental groups.
Categories Categories
  • Political Issues
  • Political Attitudes and Behavior
  • Social Policy
Topics Topics
  • 11.5 Mass political behaviour, attitudes/opinion
  • 13.10 Social and occupational mobility
  • 14.1 Specific social services: use and provision
  • 14.2 Social welfare policy
  • 14.3 Social welfare systems/structures

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
Probability Sample: Multistage Sample
Mode of Collection Mode of Collection
  • Self-administered questionnaire: Web-based (CAWI)
Onlinesurvey Self-administered questionnaire: CAWI (Computer-Assisted Web Interview)
Kind of Data Kind of Data
  • Numeric
Data Collectorforsa Marktforschung, Frankfurt am Main
Date of Collection
  • 01.01.2018 - 31.01.2018

Errata & Versions

VersionDate, Name, DOI
2.0.0 (current version)2018-10-8 recodings in BF33122 Und BF33123 https://doi.org/10.4232/1.13155
1.0.02018-8-10 first archive edition https://doi.org/10.4232/1.13082
Errata in current version
none
Version changes

Further Remarks

Links
Number of Units: 2684
Number of Variables: 102
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.