Behavioral and Brain Sciences



Open Peer Commentary
Chow: Statistical significance

Significance testing – does it need this defence?


Günther Palm a1
a1 Department of Neural Information Processing, University of Ulm, D-89069 Ulm, Germany palm@neuro.informatik.uni-ulm.de

Abstract

Chow's (1996) Statistical significance is a defence of null-hypothesis significance testing (NHSTP). The most common and straightforward use of significance testing is for the statistical corroboration of general hypotheses. In this case, criticisms of NHSTP, at least those mentioned in the book, are unfounded or misdirected. This point is driven home by the author a bit too forcefully and meticulously. The awkward and cumbersome organisation and argumentation of the book makes it even harder to read.



Metrics