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Date:         Wed, 30 Oct 2002 15:23:34 EST
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
Subject:      Correction for Attenuation
Content-Type: text/plain; charset="US-ASCII"

Can one justify correcting for attenuation on the basis of the reliability of an outcome measure, that is, a criterion variable? For example, I would like to argue that correlations between select predictor variables (in this case personality and behavioral measures) are/could be greater than observed because said criterion measures did not necessarily reflect potent (meaningful) outcome measures (e.g., a global measure of performance).

I know correction for attenuation can be applied when the reliability of a predictor variable (i.e., reliability of a test instrument) is less than 1.0 (always the case of course). However, how would one justify (if at all) the application of this correction method based on the relaibility of a criterion/outcome measure. Otherwise is there an alternative when focusing on the reliability of an outcome/criterion measure?

Thanks in advance.

Roland A. Carlstedt, Ph.D.

______________________________________________________ Roland A. Carlstedt, Ph.D. Chairman, American Board of Sport Psychology* Assistant Psychologist and Staff Clinical Psychotherapist, Behavioral Associates of New York City, +1 917-680-3994

* An American Psychological Association Approved Provider of Continuing Education for Psychologists

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