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metadata language: German English

Population Policy Acceptance Study (PPAS)

Version
1.0.0
Resource Type
Dataset : Survey and aggregate data
Creator
  • Bundesinstitut für Bevölkerungsforschung (BiB), Wiesbaden
Publication Date
2008
Contributor
  • TNS Emnid, Bielefeld (Data Collector)
Language
English
Classification
  • ZA:
    • Society, Culture
  • CESSDA Topic Classification:
    • Employment
    • Fertility
    • Migration
    • Mass political behaviour, attitudes/opinion
    • Social stratification and groupings
    • Elderly
    • Family life and marriage
    • Gender and gender roles
    • Social welfare systems/structures
Temporal Coverage
  • 2003-03-24 / 2003-06-16
Geographic Coverage
  • Germany (DE)
Collection Mode
Data and File Information
  • Unit Type: Individual
    Number of Units: 4110
    Number of Variables: 373
Availability
Download
A - Data and documents are released for academic research and teaching.
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
  • ZA4653 (Type: ZA-No.)
Publications
  • Dorbritz, Jürgen; Lengerer, Andrea; Ruckdeschel, Kerstin: Einstellungen zu demographischen Trends und zu bevölkerungsrelevanten Politiken: Ergebnisse der Population Policy Acceptance Study in Deutschland. Wiesbaden: Bundesinstitut für Bevölkerungsforschung beim Statistischen Bundesamt, Schriftenreihe des BiB, Sonderheft, 2005 http://www.bib-demographie.de/cln_090/nn_750530/SharedDocs/Publikationen/ DE/Download/Broschueren/ppas__2005.html

Update Metadata: 2020-10-21 | Issue Number: 85 | Registration Date: 2010-07-22

Bundesinstitut für Bevölkerungsforschung (BiB), Wiesbaden (2008): Population Policy Acceptance Study (PPAS). Version: 1.0.0. GESIS Data Archive. Dataset. https://doi.org/10.4232/1.4653