German Internet Panel, Wave 17 (May 2015)

Blom, Annelies G. (Universität Mannheim); Bossert, Dayana (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.
published 2016-08-23, 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 17 (May 2015)

Creators

Blom, Annelies G.
Bossert, Dayana
Felderer, Barbara
Gebhard, Franziska
Herzing, Jessica
Krieger, Ulrich

Origin Information

Publisher

Publication Date

2016-08-23

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 (Online-survey)
GESIS
GESIS

Methods

Sample

Sampled Universe
Resident population in private households aged 16 to 75 years
Sampling
Probability: Multistage; Sampling Procedure Comment: Probability Sample: Proportionate Stratified 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: 3343
    Number of Variables: 243

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.

Coverage

Temporal Coverage

  • 2015-05-01 / 2015-06-01

Geographic Coverage

  • Germany (DE)

Relations

Alternative Identifiers

  • ZA5983 (Type: ZA-No.)
  • 1 (Type: VerbundFDB)

Related Identifiers

  • Is new version of
    DOI: 10.4232/1.12320

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: 2021-08-30 | Issue Number: 27 | Registration Date: 2016-08-23