On 05/17/02 11:03, Christian Schulz wrote:>Hello r-proffessionals,
>this is not a special R-Question, but have anybody
>a good reason for nonstatistican's why the interpretation of
correlations
>with cases under 20-30 are dangerous !?
I am not an R-professional, nor a statistician, but this is
off-topic anyway, so ...
I don't think it is especially true that interpretation of
correlations with small N is dangerous. At least it is no more
dangerous than interpretation of any statistic with small N.
There is an issue here, I think, when small N is combined with
the practice of reporting p-levels by setting an "alpha" cutoff
for significance (like p<.05) and then reporting only whether p
is below the cutoff. The exact p is hidden by such a practice.
If all you know is that p<.05 and that N=20, then the expectation
of the exact p is higher than if p<.05 and N=200. So sample size
does matter even when alpha (the cutoff) is held constant.
I do not think that this problem arises when exact p levels are
reported. In psychology, exact p levels are more common now, I
think, and they are actually recommended by the American
Psychological Association:
http://www.apa.org/journals/amp/amp548594.html
Perhaps there is something else here that I don't know.
--
Jonathan Baron, Professor of Psychology, University of Pennsylvania
Home page: http://www.sas.upenn.edu/~baron
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