BTW the data that Herrnstein & Murry used for their analysis is
available for download:
http://pacioli.bus.indiana.edu/erasmuse/bellcurve/bellcurve.htm

for all you statistics geeks who want to try their own analysis.

larry


On Tue, 18 Jan 2005 12:44:42 -0500, Larry C. Lyons
<[EMAIL PROTECTED]> wrote:
> They used the wrong statistical analysis, applied the wrong model and
> came to the wrong conclusions based on flawed data, and a totally
> botched analysis.  In other words, Herrnstein & Murry's analysis was
> so bad that it sucked dead budgies.
> 
> They used a 3 variable model (Armed Forces Qualifying Test, Age and
> SES)  in which the predictors were so closely related to each other
> that you cannot to any conclusion about the data.
> 
> This is a fairly good discussion of their analysis at
> http://www.srv.net/~msdata/bell.html
> 
> larry
> 
> On Tue, 18 Jan 2005 12:25:18 -0500, Jerry Johnson
> <[EMAIL PROTECTED]> wrote:
> > Um...could you repeat that...in English?
> >
> > All I got was "Geek. Geek. Geek. Independant. Geek. Geek."
> >
> > =)
> >
> > Jerry Johnson
> > Web Developer
> > Dolan Media Company
> >
> > >>> [EMAIL PROTECTED] 01/18/05 12:26PM >>>
> > Moreover in terms of the stats they used, well there were a lot of
> > articles in various journals that examined the statistics they used
> > and the general conclusion was that the statistical analysis was so
> > flawed as to be worthless. The 3 variable model they used was so bad -
> > the so called independent variables were correlated beyond .50 level,
> > that it should have been tossed out from the start. There was no
> > statisical controls for uneven baselines for instance. Unfortunately
> > the author who was responsible for the analysis died before
> > publication, so the reasoning for the choice of stats cannot be
> > determined to any extent.
> >
> > 

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