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  • The ease with which large amounts of data can be collected via the Internet has led to a renewed interest in the use of non-probability samples. To that end, this paper performs a case study, comparing two non-probability datasets - one based on a river-sampling ap­proach, one drawn from an online-access panel - to a reference probability sample. Of particular interest is the single-question river-sampling approach, as the data collected for this study presents an attempt to field a multi-item scale with such a sampling method. Each dataset consists of the same psychometric measures for two of the Big-5 personality traits, which are expected to perform independently of sample composition. To assess the similarity of the three datasets we compare their correlation matrices, apply linear and non-linear dimension reduction techniques, and analyze the distance between the datasets. Our results show that there are important limitations when implementing a multi-item scale via a single-question river sample. We find that, while the correlation between our data sets is similar, the samples are composed of persons with different personality traits. (xsd:string)
?:contributor
?:dateModified
  • 2023 (xsd:gyear)
?:datePublished
  • 2023 (xsd:gyear)
?:doi
  • 10.12758/mda.2022.05 ()
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  • true (xsd:boolean)
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  • en (xsd:string)
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?:issn
  • 2190-4936 ()
?:issueNumber
  • 1 (xsd:string)
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?:name
  • River Sampling - a Fishing Expedition: A Non-Probability Case Study (xsd:string)
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?:publicationType
  • Zeitschriftenartikel (xsd:string)
  • journal_article (en)
?:reference
?:sourceInfo
  • GESIS-SSOAR (xsd:string)
  • In: Methods, data, analyses : a journal for quantitative methods and survey methodology (mda), 17, 2023, 1, 3-27 (xsd:string)
rdf:type
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?:volumeNumber
  • 17 (xsd:string)