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The non-significance of straw man arguments
Published online by Cambridge University Press: 01 April 1998
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).
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- © 1998 Cambridge University Press
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