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metadata language: German English

Infrastructure in Germany

Version
1.0.0
Resource Type
Dataset : Survey and aggregate data
Creator
  • Presse- und Informationsamt der Bundesregierung, Berlin
Publication Date
2016-01-11
Contributor
  • polis + sinus Gesellschaft für Sozial- und Marktforschung mbH (Data Collector)
Language
German
Classification
  • ZA:
    • Political Attitudes and Behavior
    • Branches of Economy, Services and Transport
    • Technology, Energy
  • CESSDA Topic Classification:
    • Mass political behaviour, attitudes/opinion
    • Information technology
    • Natural resources and energy
    • Community, urban and rural life
Description
  • Abstract

    Attitudes towards infrastructure projects. Financing of infrastructure. Infrastructure projects and citizen participation. Attitudes towards energy transition. Digital change.
Temporal Coverage
  • 2014-11-25 / 2015-01-09
Geographic Coverage
  • Germany (DE)
Sampled Universe
Persons aged 18 years and over in private households
Sampling
Sampling Procedure Comment: Probability Sample: Two-Stage Sample
Collection Mode
  • Telephone Interview: CATI (Computer Assisted Telephone Interview)
Data and File Information
  • Number of Variables: 214
Note
The study was conducted on behalf of the Federal Press Office.
Availability
Download
0 - Data and documents are released for everybody.
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
  • ZA6606 (Type: ZA-No.)
  • WAHLEN (Type: FDZ)

Update Metadata: 2020-10-21 | Issue Number: 20 | Registration Date: 2016-01-11

Presse- und Informationsamt der Bundesregierung, Berlin (2016): Infrastruktur in Deutschland aus der Sicht der Bevölkerung. Version: 1.0.0. GESIS Datenarchiv. Dataset. https://doi.org/10.4232/1.12429