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If you've got an effect, test its significance; if you've got a weak effect, do a meta-analysis

Published online by Cambridge University Press:  01 April 1998

John F. Kihlstrom
John F. Kihlstrom
Affiliation:
Department of Psychology, University of California, Berkeley, Berkeley, CA 94720-1650 kihlstrm@cogsci.berkeley.edu socrates.berkeley.edu/~kihlstrom
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Abstract

Statistical significance testing has its problems, but so do the alternatives that are proposed; and the alternatives may be both more cumbersome and less informative. Significance tests remain legitimate aspects of the rhetoric of scientific persuasion.

Information

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 21 , Issue 2 , April 1998 , pp. 205 - 206
Copyright
© 1998 Cambridge University Press

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