> Jeannette Wicks-Lim wrote:
> I'm used to working with very large data sets in my
> regression analyses, but
> I've encountered a situation where my N is 24, and
> my k (number of
> independent vars) is 9. I may be able to expand the
> sample to N=36, but in
> any case, how do you decide when a sample is "too"
> small to be useful? Does
> it just depend on your results (e.g., standard
> errors are really large)?
In his book (Regresssion Modeling Strategies), Frank
Harrell provides some guidelines.
Scott Millis
=====
Scott R Millis, PhD, MEd, ABPP (CN & RP)
Director, Office of Clinical Trials
Kessler Medical Rehabilitation Research & Education Corp
1199 Pleasant Valley Way
West Orange, NJ 07052
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