Hostname: page-component-848d4c4894-m9kch Total loading time: 0 Render date: 2024-05-05T22:08:30.245Z Has data issue: false hasContentIssue false

Significance testing in a Bayesian framework: Assessing direction of effects

Published online by Cambridge University Press:  01 April 1998

Henry Rouanet
Affiliation:
UFR Math-Info, Université René-Descartes, 75270 Paris Cedex 06, Francerouanet@math-info.univ.paris5.fr

Abstract

Chow' efforts toward a methodology of theory-corroboration and the plea for significance testing are welcome, but there are many risky claims. A major omission is a discussion of significance testing in the Bayesian framework. We sketch here the Bayesian reinterpretation of the significance level for assessing direction of effects.

Type
Open Peer Commentary
Copyright
© 1998 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)