GESIS - DBK - ZA7593
 

ZA7593: German Internet Panel, Wave 44 (November 2019)

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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) 225 MBytes
  • ZA7593_cod.pdf (Codebook) 5 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 44 (November 2019). GESIS Data Archive, Cologne. ZA7593 Data file Version 1.1.0, https://doi.org/10.4232/1.13614
Study No.ZA7593
TitleGerman Internet Panel, Wave 44 (November 2019)
Current Version1.1.0, 2020-10-6, https://doi.org/10.4232/1.13614
Date of Collection01.11.2019 - 30.11.2019
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: Satisfaction with the performance of the Federal Government; satisfaction with the performance of the parties CDU/CSU, SPD, Bündnis 90/Die Grünen, Die Linke, AfD and FDP in the Bundestag; perception of the Federal Government as being divided or closed; perception of the parties CDU, CSU, SPD, FDP, Bündnis 90/Die Grünen, Die Linke and AfD as being divided or closed. Conjoint experiment on party preference: comparison of two fictitious parties each with different combinations of characteristics with regard to the political orientation of the party, the role of the party in parliament, behaviour at the party conference, voting behaviour in parliament, criticism of the party leadership, clarity of the reform plans, sex, age and professional experience of the leading candidate; evaluation of the individual parties as a whole Lobbying and climate protection: Attitude towards climate protection (preload from wave 38); agreement on various statements on lobbying (experiment on response options): Lobbying prevents stricter environmental regulations, resources for lobbying leads to climate policy in the interest of larger companies, intransparent, no consent to one of the negative statements; lobbying enables the implementation of realistic environmental regulations, influence on environmental policy, more transparency through EU Parliament decision to introduce stricter lobbying rules, no consent to one of the positive statements; Number of statements previously perceived by the respondent; influence of lobbying on EU climate policy; assessment of this influence of lobbying on EU climate policy; lobbying can generally have a positive/negative influence on EU climate policy; influence of lobbying on the level of climate protection in the EU. Evaluation of the Hartz IV reforms; advocacy of a return to the situation prior to the Hartz IV reforms; retention of the Hartz IV reforms in the case of tax relief for low-income recipients financed by an increase in the top tax rate; advocacy of an improvement in the opportunities for earning additional income for Hartz IV recipients by reducing the proportion of additional income that can be offset against Hartz IV payments; effects of an improvement in the opportunities for earning additional income for Hartz IV recipients on state income and on wages. Willingness to donate part or all of an additional incentive of 4 euros to the non-profit climate protection organisation atmosfair (amount in euros, open). Data protection: Concern about privacy in general; agreement to statements about data sharing: I don´t mind sharing personal information, because that´s what everybody does nowadays; you can´t live in our modern world without disclosing personal information; when you share personal information, you don´t know who sees it; sharing personal information doesn´t bother me if I get products or services I want in return; feeling of sufficient control over personal information; type of internet activities in the last three months (searching for addresses, for information about products and services, about health or on public institution websites, reading news, looking for a job or applying online, making video calls, using text messaging services, using social media, online banking, using a professional network, buying train or plane tickets, filing a tax return, shopping, reading and/or writing emails, playing games, listening to music or watching videos); knowledge of the EU basic data protection regulation 2018 (GDPR); better or worse protection of privacy by GDPR (experiment on question formulation with information on GDPR and without further information). Fridays for future: support for Friday school demonstrations against climate change; participation in a Fridays for future demonstration in the last six months; agreement vs. opposition to the introduction of a CO2 tax (experiment on question formulation with ten experimental conditions). Demography: sex; age (year of birth, categorised); education: highest level of schooling; highest level of vocational education; marital status; household size; employment status; German citizenship; frequency of private Internet use; 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; allocation to experimental groups. Questionnaire evaluation (interesting, varied, relevant, long, difficult, too personal); assessment of the survey as a whole; respondent has made further comments on the questionnaire.
Categories Categories
  • Political Issues
  • Political Attitudes and Behavior
  • Natural Environment, Nature
Topics Topics
  • 9.1 Information society
  • 11.5 Mass political behaviour, attitudes/opinion
  • 11.6 Government, political systems and organisation
  • 14 Social welfare policy and systems
  • 16.4 Environmental degradation/pollution and protection

Methodology

Geographic Coverage
  • Germany (DE)
UniversePersons between 16 and 75 years of age 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
  • 01.11.2019 - 30.11.2019

Errata & Versions

VersionDate, Name, DOI
1.1.0 (current version)2020-10-6 value labels in variable BG38009 reworked https://doi.org/10.4232/1.13614
1.0.02020-8-25 first archive edition https://doi.org/10.4232/1.13587
Errata in current version
none
Version changes

Further Remarks

Links
Number of Units: 4580
Number of Variables: 310
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.