Hostname: page-component-745bb68f8f-grxwn Total loading time: 0 Render date: 2025-02-11T20:12:01.707Z Has data issue: false hasContentIssue false

Costs and benefits of statistical significance tests

Published online by Cambridge University Press:  01 April 1998

Michael G. Shafto
Affiliation:
Human-Automation Interaction Research Branch, NASA-Ames Research Center, Moffett Field, CA 94035-1000 shafto@simon.arc.nasa.gov olias.arc.nasa.gov/
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Chow's book provides a thorough analysis of the confusing array of issues surrounding conventional tests of statistical significance. This book should be required reading for behavioral and social scientists. Chow concludes that the null-hypothesis significance-testing procedure (NHSTP) plays a limited, but necessary, role in the experimental sciences. Another possibility is that – owing in part to its metaphorical underpinnings and convoluted logic – the NHSTP is declining in importance in those few sciences in which it ever played a role.

Type
Open Peer Commentary
Copyright
© 1998 Cambridge University Press