German Internet Panel, Wave 22 (March 2016)

Blom, Annelies G. (Universität Mannheim); Bruch, Christian (Universität Mannheim); Felderer, Barbara (Universität Mannheim); Gebhard, Franziska (Universität Mannheim); Herzing, Jessica (Universität Mannheim) ...(2 more)
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 s...
published 2017-08-02, Version 2.0.0
Delivery

Full Metadata Record

Identification

Resource Type

Dataset : Numeric

Version

2.0.0

Language of Resource

German

Title

German Internet Panel, Wave 22 (March 2016)

Creators

Blom, Annelies G.
Bruch, Christian
Felderer, Barbara
Gebhard, Franziska
Herzing, Jessica
Krieger, Ulrich

Origin Information

Publisher

Publication Date

2017-08-02

Access

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

Contributors

LINK, Frankfurt
GESIS
GESIS

Methods

Sample

Sampled Universe
Persons aged 15 to 75 years, resident in private households
Sampling
Probability: Multistage; Sampling Procedure Comment: Probability Sample: Multistage Sample

Time Dimension

  • Cross-section

Collection Mode

  • Self-administered questionnaire: Web-based
  • Online survey Self-administered questionnaire: CAWI (Computer-Assisted Web Interview)

DataSets and Files

  • Unit Type: Individual
    Number of Units: 3143
    Number of Variables: 198

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 and an experiment which is identical across all questionnaires. For more information see the study documentation.

Note

Survey unit: adults; teenagers###

Coverage

Temporal Coverage

  • 2016-03-01 / 2016-04-01

Geographic Coverage

  • Germany (DE)

Relations

Alternative Identifiers

  • ZA6754 (Type: ZA-No.)
  • 1 (Type: VerbundFDB)

Related Identifiers

  • Is new version of
    DOI: 10.4232/1.12645

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
  • Steinacker, G.; Schmidt, S. (2014): German Internet Panel (GIP): Stichprobenziehung und Rekrutierung der Teilnehmer. München: TNS Infratest Sozialforschung, Feldbericht zur Erhebung 2014
  • 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: 2021-08-28 | Issue Number: 24 | Registration Date: 2017-08-02