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?:about
?:abstract
  • "There is no random sampling in France. Thus, when analyzing French survey data, everyscholar has to deal with an important methodological challenge: How can one use the standard panoplyof significance tests on quota sample data? This essay suggests some strategies for successfullydealing with such enquiries during the peer-review process. Scholars should gather as much external evidence as possible to argue that their achieved sample represents the population on as many dimensions as possible. The more evidence theyare able to compile, the more confidence there is that their estimation results are robust even based on quota sample data." (author's abstract) (xsd:string)
?:contributor
?:dateModified
  • 2005 (xsd:gyear)
?:datePublished
  • 2005 (xsd:gyear)
?:doi
  • 10.1057/palgrave.fp.8200068 ()
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  • true (xsd:boolean)
is ?:hasPart of
?:inLanguage
  • en (xsd:string)
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?:issueNumber
  • 1 (xsd:string)
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?:name
  • Analyzing quota sample data and the peer-review process (xsd:string)
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?:publicationType
  • Zeitschriftenartikel (xsd:string)
  • journal_article (en)
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?:sourceInfo
  • GESIS-SSOAR (xsd:string)
  • In: French Politics, 3, 2005, 1, 88-91 (xsd:string)
rdf:type
?:url
?:urn
  • urn:nbn:de:0168-ssoar-258057 ()
?:volumeNumber
  • 3 (xsd:string)