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Cited by 357

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Psychometrics Is Datametrics: The Test Is Not Reliable

Thompson, B., Vacha-Haase, T.·2000·Educational and Psychological Measurement

Abstract

The present article responds to selected criticisms of some EPM editorial policies and Vacha-Haase’s “reliability generalization” meta-analytic methods. However, the treatment is more broadly a manifesto regarding the nature of score reliability and what are reasonable expectations for psychometric reporting practices in substantive inquiries. The consequences of misunderstandings of score reliability are explored. It is suggested that paradigmatic misconceptions regarding psychometric issues feed into a spiral of presumptions that measurement training is unnecessary for doctoral students, which then in turn further reinforces misunderstandings of score integrity issues.

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Metadata

Authors
Thompson, B., & Vacha-Haase, T.
Venue
Educational and Psychological Measurement
Published
2000-04-01
Volume
60
Issue
2
Pages
174-195
ISSN
  • 0013-1644 (ISSN-L)
  • 0000-0000
OpenAlex
W2086750128
Cited by
357
References
2
FWCI
42.15
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Psychometrics Is Datametrics: The Test Is Not Reliable. https://app.cochat.ai/papers/10.1177/00131640021970448
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Thompson, B., & Vacha-Haase, T. (2000). Psychometrics Is Datametrics: The Test Is Not Reliable. Educational and Psychological Measurement. https://doi.org/10.1177/00131640021970448

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