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German Internet Panel, Wave 3 (January 2013)

Version
2.0.0
Resource Type
Dataset
Creator
  • Blom, Annelies G. (Universität Mannheim)
  • Bossert, Dayana (Universität Mannheim)
  • Funke, Frederik (Universität Mannheim)
  • Gebhard, Franziska (Universität Mannheim)
  • Holthausen, Annette (Universität Mannheim)
  • Krieger, Ulrich (Universität Mannheim)
  • SFB 884 "Political Economy of Reforms" Universität Mannheim
Publication Date
2016-08-23
Contributor
  • TNS Infratest Sozialforschung, München (F2F-recruitment) (Data Collector)
  • LINK, Frankfurt (online survey) (Data Collector)
Language
German
Classification
  • ZA:
    • Political Attitudes and Behavior
    • Social Policy
    • Public expenditures
  • CESSDA Topic Classification:
    • Health policy
    • Government, political systems and organisation
    • Social welfare policy
    • Social welfare systems/structures
    • Mass political behaviour, attitudes/opinion
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. Experimental variations in the instruments were used. The questionnaire contains numerous randomizations (order of variables or answers) as well as a cross-questionnaire experiment on the respondent´s intermediate feedback. Topics: 1. Health care system: satisfaction with the health care system in Germany; demand for a reform of the health care system; opinion on higher expenditures of the state or the statutory health insurance funds for the health care system; willingness to pay higher contributions to improve health care for all; responsibility of the state for basic health care; preference for income-dependent or uniform insurance contributions to the statutory health insurance system; most strongly rejected or preferred measure to finance the health care system; private co-payments: preference for eliminating, reducing, maintaining or increasing the surgery fee, co-payments for dental care, co-payments for medication and hospitalisation; willingness to participate in a family doctor model; preference for free choice of specialist versus referral by family doctor; health insurance status; self-assessment of health status; chronic health problems. 2. Political system of the FRG and political parties: political knowledge: blackout clause; election of the Federal Chancellor; assignment of portrait photos of selected politicians to a party; sympathy scale for the parties CDU/CSU, SPD, Bündnis90/Die Grünen, FDP and Die Linke. 3. Unemployment benefit (ALG II): preference for the current regulation or a reform of the ALG II; expected increase of ALG II recipients who would look for a job after the reform; expected influence on the financial situation of the state if the changed regulation is implemented; employment status; expected influence of a changed ALG II regulation on selected areas of life (personal income, probability of own unemployment as well as personal standard of living); amount of monthly compensation payment to maintain personal standard of living; amount of ALG-II as a function of last income; expected demand for labour by a general wage reduction of 3 per cent; estimated percentage by which demand for labour would change if wages were reduced by 3 per cent. 4. Pension system: preference for higher government spending to secure pensions and old-age pensions; demand for private old-age provision above the basic needs covered by law; demand for a reform of the German pension system; opinion on pensions at 67; physical and mental abilities still meet job requirements at 67; preferred and rejected proposal on pension financing in view of demographic change; opinion on selected proposals on capitalisation of the pension system; guaranteed minimum pension as a civil right; demand for government support for private old-age provision e.g. for the unemployed and low-income earners; main sources of information used on pension and health policy; social justice (scale). Demography: sex; citizenship; year of birth (categorised); highest school leaving certificate; highest occupational qualification; marital status; household size; employment status; private Internet use; federal state. Additionally coded was: interview date; questionnaire evaluation; overall assessment of the survey; unique ID, household identification and person identification within the household.
Temporal Coverage
  • 2013-01-01 / 2013-02-01
Geographic Coverage
  • Germany (DE)
Sampled Universe
Residents in private households between 16 and 75 years of age
Sampling
Multistage proportionate stratified random sample (ADM-Random-Route)
Collection Mode
  • Self-administered questionnaire: CAWI (Computer Assisted Web Interview)
Data and File Information
  • Number of Variables: 126
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
  • ZA5868 (Type: ZA-No.)
Relations
  • Is new version of
    DOI: 10.4232/1.12109
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

Update Metadata: 2019-10-26 | Issue Number: 9 | Registration Date: 2016-08-23

Blom, Annelies G.; Bossert, Dayana; Funke, Frederik; Gebhard, Franziska; Holthausen, Annette et. al. (2016): German Internet Panel, Welle 3 (Januar 2013). Version: 2.0.0. GESIS Datenarchiv. Dataset. https://doi.org/10.4232/1.12609