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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
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Abstract

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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