A very quick psychinfo/eric search and google search produced these findings 
(of which I find none to the contrary), however, the one of the abstracts 
below--the canadian journal--did indicate that caution needed to be exercised 
for their data as SES factors might interact:


http://eric.ed.gov/ERICDocs/data/ericdocs2sql/content_storage_01/0000019b/80/1b/a5/0e.pdf
   also found at:

http://www.act.org/research/researchers/reports/pdf/ACT_RR2004-4.pdf 

The incremental variance problem: Enhancing the predictability of academic 
success in an Urban, commuter institution.  Weissberg, Norman C.; Owen, David 
R.; Jenkins, Adelbert H.; Genetic, Social, and General Psychology Monographs, 
Vol 129(2), May 2003. pp. 153-180. [Journal Article]

Grade Inflation and University Admissions in Ontario: Separating Fact from 
Perception. . By: Casas, Francois R.; Meaghan, Diane E.. Canadian Journal of 
Higher Education, v25 n3 p49-70 1995. (EJ523119)

The American Freshman: National Norms for Fall 1994. . By: Astin, Alexander W.; 
And Others. 1994 246 pp. (ED377784)

Annette



Annette Kujawski Taylor, Ph.D.
Professor of Psychology
University of San Diego
5998 Alcala Park
San Diego, CA 92110
619-260-4006
[EMAIL PROTECTED]


---- Original message ----
>Date: Wed, 28 May 2008 12:17:51 -0400
>From: [EMAIL PROTECTED]  
>Subject: Re: [tips] SAT for selection  
>To: "Teaching in the Psychological Sciences (TIPS)" <tips@acsun.frostburg.edu>
>
>   I am wondering if we have an empirical basis
>   (research of some type) for the claim that high
>   school GPAs are inflated.
>
>   Nancy Melucci
>   Long Beach City College
>   Long Beach CA
>
>   -----Original Message-----
>   From: [EMAIL PROTECTED]
>   To: Teaching in the Psychological Sciences (TIPS)
>   <tips@acsun.frostburg.edu>
>   Sent: Wed, 28 May 2008 9:11 am
>   Subject: Re: [tips] SAT for selection
>
> But if you toss on the SAT then what will you use to made admissions 
> decisions?
> Clearly high school GPAs are so inflated as to be nonsensical.
>
> Regardless of effect sizes, at leat for our freshmen, the SAT-V is the best
> predictor we have at the moment.
>
> Annette
>
>
> Annette Kujawski Taylor, Ph.D.
> Professor of Psychology
> University of San Diego
> 5998 Alcala Park
> San Diego, CA 92110
> 619-260-4006
> [EMAIL PROTECTED]
>
>
> ---- Original message ----
> >Date: Wed, 28 May 2008 00:36:33 EDT
> >From: [EMAIL PROTECTED] 
> >Subject: [tips] SAT for selection 
> >To: "Teaching in the Psychological Sciences (TIPS)" 
> ><tips@acsun.frostburg.edu>
> >
> >   I use the relationship of SAT to College vs HS GPA
> >   in my stats class as an example of the importance in
> >   considering effect sizes.  Both the College Board
> >   and Fair Test use the same correlations and
> >   regressions. They each characterize the magnitudes
> >   (effect sizes) differently. The College Board uses
> >   language that makes the effect sizes look larger
> >   than they are.  Fair Test actually reports effect
> >   sizes and characterizes them as small.  Imagine if
> >   you used prediction models like this to make
> >   financial decisions.  You may as well invest your
> >   money at the Blackjack Table.
> >
> >   From the College Board:
> >   The SAT has proven to be an important predictor of
> >   success in college. Its validity as a predictor of
> >   success has been demonstrated through hundreds of
> >   validity studies. These validity studies
> >   consistently find that high school grades and SAT
> >   scores together are substantial and significant
> >   predictors of achievement in college. In these
> >   studies, although high school grades typically are
> >   slightly better predictors of achievement, SAT
> >   scores add significantly to the prediction. These
> >   findings tend to hold for all subgroups of students
> >   and for all types of measures - freshman grades,
> >   course grades, cumulative grades, and measures of
> >   persistence.
> >
> >   From Fair Test:
> >   Validity research at individual institutions
> >   illustrates the  weak predictive ability of the SAT.
> >   One study looked at the power  of high school class
> >   rank, SAT I, and SAT II in predicting cumulative
> >   college GPAs. Researchers found that the SAT I was
> >   by far the  weakest predictor, explaining only 4% of
> >   the variation in college  grades, while SAT II
> >   scores accounted for 6.8% of the differences  in
> >   academic performance. By far the most useful tool
> >   proved to  be class rank, which predicted 9.3% of
> >   the changes in cumulative  GPAs. Combining SAT I
> >   scores and class rank inched this figure  up to
> >   11.3%, leaving almost 90% of the variation in grades
> >   unexplained.
> >
> >   It's all about effect size.  The bottom line is that
> >   for a variety of reasons, we cannot predict success
> >   in college with any reasonable accuracy.  My
> >   proposal is that we use a very rough cut-off based
> >   on High School grades or rank to make an initial
> >   selection and then run a fair lottery to determine
> >   who gets accepted.  We may as well operate on the
> >   truth rather than lies.  Have you ever counseled a
> >   student who was rejected from college or graduate
> >   school. They believe they did not work hard enough
> >   or did not have some necessary credential.  The
> >   truth is that they likely fell into the 90% random,
> >   unaccounted for error in prediction.  The situation
> >   is even worse for applications to graduate and
> >   professional schools.  It is all a lottery posing as
> >   some sort of scientific selection process.
> >
> >   Mike Williams
> >   http://mindcampus.learnpsychology.com
> >
> >   **************
> >   Get trade secrets for amazing burgers. Watch
> >   "Cooking with Tyler Florence" on AOL Food.
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> >
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