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It's on p 54-56 in the 5th edition.
And I always introduce degrees of freedom and the
difference between "estimators" and "descriptives" as early as I can. And
I jettison the descriptives pretty quickly.
m
-------
"Mauchly's Test of Sphericity:
Tests the null
hypothesis that the error covariance matrix of the
orthonormalized
transformed dependent variables is proportional
to an identity
matrix."
---
SPSS
David Howell's large statistics text gives a fairly transparent
explanation.
Regards,
Chris Green
============
Rick Froman
wrote:
I hope that subject
line isn't copyrighted.
After I explained
why the formula for the s to predict s uses N-1 in the
denominator (to inflate it for a more conservative estimate since it is just
an estimate of the population standard deviation), a student asked, why N-1
and not N-2 or N-3? I mentioned statistical studies about how N-1 gives the
best estimate of the population standard deviation but I wonder if anyone
has a good explanation for why it is N-1. I know if the number got too high,
small sample sizes would end up with a negative number (which would make no
sense).
Rick
Dr. Rick Froman, Chair
Division of Humanities and
Social Sciences
Professor of Psychology
John Brown University
2000
W. University
Siloam Springs, AR 72761
[EMAIL PROTECTED]
(479) 524-7295
http://www.jbu.edu/academics/hss/psych/faculty.asp
"Pete,
it's a fool that looks for logic in the chambers of the human heart."
-
Ulysses Everett McGill
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