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German Internet Panel, Wave 38 (November 2018)

Version
1.0.0
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
2019-11-20
Contributor
  • forsa Marktforschung, Frankfurt am Main (Data Collector)
Language
German
Classification
  • ZA:
    • International Institutions, Relations, Conditions
    • Political Attitudes and Behavior
    • Natural Environment, Nature
  • CESSDA Topic Classification:
    • International politics and organisation
    • Mass political behaviour, attitudes/opinion
    • Environmental degradation/pollution and protection
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. The questionnaire contains numerous experimental variations in the survey instruments. For further information, please refer to the study documentation. Topics: Environmental attitudes: acceptance of higher prices for environmentally friendly products; acceptance of energy saving to stop climate change; environmentally friendly behaviour: frequency of buying environmentally friendly products and frequency of energy saving in everyday life; beliefs about environmentally friendly products as a contribution to environmental protection; beliefs about energy saving as a contribution to climate change. Lobbying: estimated influence of lobbying on EU policy; influence of lobbying on German policy compared to the influence on EU policy; assessment of the influence of lobbying on EU policy; in principle positive or negative influence of lobbying on EU policy; actors who benefit most from lobbying at EU level (industry, EU citizens, charities, politicians, others); estimated influence of lobbying on EU climate policy; assessment of the influence of lobbying on EU climate policy; influence of lobbying on the level of climate protection in the EU; sufficient information for EU citizens to understand lobbying at EU level; impact, if complete information is available, on the influence of lobbying on EU policy. Experiment on the respondent´s attention: voting behaviour in a referendum on Germany´s EU membership (Sunday question). Satisfaction with the performance of the parties CDU/CSU, SPD, Bündnis90/ the Greens, Die Linke, AfD and FDP in the Bundestag; perception of the federal government as divided versus closed; perception of the parties CDU, CSU, SPD, FDP, Bünnis90/ Die Grünen, Die Linke and AfD as divided versus closed; perception of the statements of the above parties as vague versus accurate. Experiment: Approval of a proposal that calls into question Turkey´s EU accession negotiations with reference to support for this proposal by a particular political party or by a particular political party under the respective party leader(s). Experiment: Approval of a Bundestag proposal on the assessment of health technologies (or an EU regulation on the assessment of health technologies) with reference to criticism from a particular political party that this proposal would lower the standards for the assessment of health technologies in Germany. Importance of the proposal on health technology assessment for the respondent; likelihood of ever voting for the parties CDU/CSU, SPD, FDP, Bündnis90/ Die Grünen, Die Linke and AfD; recall of the exact answers on environmental attitudes (acceptance of higher prices for environmentally friendly products, acceptance of energy saving to stop climate change, frequency of buying environmentally friendly products, frequency of energy saving in everyday life, environmentally friendly products as a contribution to environmental protection and energy saving as a contribution against climate change); recall of the information and certainty of the assessment. Demography: sex; age (year of birth, categorized); highest educational degree; highest professional qualification; marital status; household size; employment status; German citizenship; frequency of private Internet usage; federal state. Additionally coded was: respondent ID; household ID, GIP; person ID (within household); year of recruitment (2012, 2014); interview date; current online status; assignment to experimental groups; activation of Java Script during the experiment for the respondent´s attention. Questionnaire evaluation (interesting, varied, relevant, long, difficult, too personal); overall evaluation of the survey; respondent made further comments on the questionnaire.
Temporal Coverage
  • 2018-11-01 / 2019-11-30
Geographic Coverage
  • Germany (DE)
Sampled Universe
Persons aged between 16 and 75 who were living in private households at the time of recruitment
Sampling
Probability: Multistage
Time Dimension
  • Longitudinal: Panel
Collection Mode
  • Self-administered questionnaire: Web-based
Data and File Information
  • Number of Variables: 137
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
  • ZA6958 (Type: ZA-No.)
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

Update Metadata: 2020-11-16 | Issue Number: 15 | Registration Date: 2019-11-20

Blom, Annelies G.; Fikel, Marina; Friedel, Sabine; Höhne, Jan Karem; Krieger, Ulrich et. al. (2019): German Internet Panel, Welle 38 (November 2018). Version: 1.0.0. GESIS Datenarchiv. Dataset. https://doi.org/10.4232/1.13391