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Statistics without probability: Significance testing as typicality and exchangeability in data analysis

Published online by Cambridge University Press:  01 April 1998

John R. Vokey
John R. Vokey
Affiliation:
Department of Psychology and Neuroscience, University of Lethbridge, Lethbridge, Alberta, Canada T1K 3M4 vokey@uleth.ca www.uleth.ca/~vokey
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Abstract

Statistical significance is almost universally equated with the attribution to some population of nonchance influences as the source of structure in the data. But statistical significance can be divorced from both parameter estimation and probability as, instead, a statement about the atypicality or lack of exchangeability over some distinction of the data relative to some set. From this perspective, the criticisms of significance tests evaporate.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 21 , Issue 2 , April 1998 , pp. 225 - 226
Copyright
© 1998 Cambridge University Press

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