German Internet Panel, Wave 25 - Core Study (September 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 2017-04-04, Version 1.0.0
Delivery

Full Metadata Record

Identification

Resource Type

Dataset : Survey and aggregate data

Version

1.0.0

Language of Resource

German

Title

German Internet Panel, Wave 25 - Core Study (September 2016)

Creator

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

Origin Information

Publisher

Publication Date

2017-04-04

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

forsa Marktforschung, Frankfurt am Main

Methods

Sample

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

Collection Mode

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

DataSets and Files

  • Number of Variables: 142

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. Topics: verification of first name, last name, sex, year of birth, mobile phone number and landline phone number; corrections; German citizenship; marital status; number of household members (household size); age and sex of up to 6 household members; relationship to each household member; principal residence; highest educational degree, highest professional degree. Professional situation: employment status or other activities; main employment status; previous employment status; occupational status; time limit employment; previous occupational status; previous time limit employment; economic sector; religion; religiousness; computer usage besides study; internet usage; daily internet usage; satisfaction with family, leisure time, financial situation, and work. Social activity: memberships (culture, environment, social cause, religion, youth organisation, civil action, professional, union, political party, other). Vote at last election; Sonntagsfrage; left-right self-placement; party identification. Economic situation: personal income (categories); number of income contributing persons; household income (categories); living space; number of rooms; property: number of houses / flats; number of cars; savings account, building loan contract, life insurance, fixed-interest securities, other securities, company assets, no investments); revenue investments. Additionally coded was: unique ID, GIP; household identifier and person identifier; date of the interview; online equipment at home; assignment to experimental groups; survey evaluation; assessment of the survey in total. Assigned variables: sex; year of birth (categories); highest educational degree; highest professional degree; marital status; number of household members (household size); employment status; residence state; year of recruitment; German citizenship; private internet usage.

Note

The assigned variables contain, in addition to the data from this wave, also data from previous waves, if no data are available in this wave. The variables of the questionnaire, on the other hand, contain only data which were made in this wave.

Coverage

Temporal Coverage

  • 2016-09-01 / 2016-09-30

Geographic Coverage

  • Germany (DE)

Relations

Alternative Identifiers

  • ZA6757 (Type: ZA-No.)

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: 23 | Registration Date: 2017-04-04