If what you mean is that really large samples can lead to distorted
results of significance tests, I would disagree. The problem is not
that the sample is too big, but that Significance tests are interpreted in
inappropritae ways when readers assume statistical significance equals
clinical significance.
--
Robert McGrath, Ph.D.
Professor
School of Psychology T110A, Fairleigh Dickinson University, Teaneck NJ 07666
voice: 201-692-2445 fax: 201-692-2304 [EMAIL PROTECTED]
On Wed, 22 Mar 2000, DeLa wrote:
> I have been trying to explain to some co-workers that a sample
> can be too big.
> That is not very easy because it is contratictory to what
> intuition says.
>
> Can someone point me to some good arguments or literature?
> Or correct me if my assumption is wrong?
>
> --DeLa
>
>
>
>
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