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Power and Negative Results

Published online by Cambridge University Press:  01 January 2022

Edouard Machery
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Abstract

The use of power to infer null hypotheses from negative results has recently come under severe attack. In this article, I show that the power of a test can justify accepting the null hypothesis. This argument also gives us a new powerful reason for not treating p-values and power as measures of the strength of evidence.

Information

Type
Inference and Statistics
Information
Philosophy of Science , Volume 79 , Issue 5 , December 2012 , pp. 808 - 820
Copyright
Copyright © The Philosophy of Science Association

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Footnotes

†

I would like to thank Greg Gandenberger for his comments on a previous version of this article.

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