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The non-significance of straw man arguments

Published online by Cambridge University Press:  01 April 1998

Niels G. Waller
Affiliation:
Department of Psychology, University of California, Davis [email protected] psychology.ucdavis.edu/waller
Wesley O. Johnson
Affiliation:
Division of Statistics, University of California, Davis, Davis CA, 95616

Abstract

We demonstrate that Statistical significance (Chow 1996) includes straw man arguments against (1) effect size, (2) meta-analysis, and (3) Bayesianism. We agree with the author that in experimental designs, H0 “is the effect of chance influences on the data-collection procedure . . . it says nothing about the substantive hypothesis or its logical complement” (Chow 1996, p. 41).

Type
Open Peer Commentary
Copyright
© 1998 Cambridge University Press

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