On Mon, 29 Jan 2001, dennis roberts wrote:
>
> one of the summary points made is the following:
>
> "P values, or significance levels, measure the strength of the evidence
> against the null hypothesis; the smaller the P value, the stronger the
> evidence against the null hypothesis"
I would add that the authors also discuss p-values between .1 and .9 as
providing weak evidence against the null. And at this level I am not at
all comfortable with the notion of a p-value as evidence against the null.
If anything large p-values should indicate that the data is quite likely
if the null is true.
It is only when the p-values become small that we are confronted with the
possibility of a) bad data or b) bad null. Even then we have to hedge our
bets since high power can give us small p-values with small effect sizes.
Michael
>
> my main questions of this are:
>
> 1. does the general statistical community accept this as being correct?
>
> 2. if the answer to #1 is yes ...
>
> then what does this tell us (only this p value) about what the real
> parameter value is? (are)
>
>
> _________________________________________________________
> 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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Michael M. Granaas
Associate Professor [EMAIL PROTECTED]
Department of Psychology
University of South Dakota Phone: (605) 677-5295
Vermillion, SD 57069 FAX: (605) 677-6604
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