On Wed, 28 Feb 2001, Mike Granaas wrote in part (and 2 paragraphs of
descriptive prose quoted at the end):
... is there some method that will allow him to get the prediction
equation he wants?
Probably the best approach is the multilevel (aka hierarchical) modelling
advocated by previous
For a quick walk through of various prob. theories, you may consult "The
Cambridge Dictionary of Philosophy." pp.649-651.
Basically, propensity theory is to deal with the problem that frequentist
prob. cannot be applied to a single case. Propensity theory defines prob.
as the disposition of a
Steve Gregorich wrote:
Linear mixed models (aka
multilelvel models, random
coefficient models, etc) as
implemented by many software
products: SAS PROC MIXED,
MIXREG, MLwiN, HLM, etc.
You might want to look at some
links on my website
http://sites.netscape.net/segregorich/index.html
Thank you all for the helping answers.
I had the problem of obtaining negative Alphas, when some subjects where
excluded from analyses (three out of ten). When they were included, I
had alphas of .65 to .75 (N items =60). The problem is - as I suspect -
that the average interitem correlation is
Donald Burrill wrote:
Probably the best approach is the multilevel (aka hierarchical) modelling
advocated by previous respondents. Possible problems with that approach:
(1) you'll need purpose-built software, which may not be conveniently
available at USD; (2) the user is usually required
OK here's another question from a newbie. In this small sample of 14
subjects, I wanted to compare several correlated correlations: individual's
brain volumes correlated with a measure of memory performance.
Specifically, I wanted to say that 1 correlation is stronger than the other
3. There's
I thought readers of sci.stat.edu might be interested in this book. For
more information please visit http://mitpress.mit.edu/promotions/books/SPICHF00.
Best,
Jud
Causation, Prediction, and Search
second edition
Peter Spirtes, Clark Glymour, and Richard Scheines
What assumptions and methods
