Dennis Roberts wrote:
> i would like an example or two where ... one can make a cogent argument > that p ... in it's own right ... helps us understand the SIZE of an effect > ... the IMPORTANCE of an effect ... the PRACTICAL benefit of an effect >
No one ever claimed it did. Statistical significance and practical importance are two different things. But P values can help determine whether an apparently importance difference is within sampling variability of no effect.
seems like this is putting the cart before the horse ... "apparently important"
by the argument that null hypothesis testing is useful, you have to first determine how likely our results were IF the null HAD been true ... AND then possibly speak to "importance"
problem is ... the dominance in the literature is the 'significance = importance' ... that is precisely the massive problem there is with null hypothesis testing
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_________________________________________________________
dennis roberts, educational psychology, penn state university
208 cedar, AC 8148632401, mailto:[EMAIL PROTECTED]
http://roberts.ed.psu.edu/users/droberts/drober~1.htm
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