Repeated Measures Question:

It is difficult to pinpoint your problem by the information you provided in
your post but I will try to give you a starting point.  The first thing you
should specify in a repeated measures ANOVA is the number of groups you
have?  This is your between-subjects variable.  The second thing you need to
specify is the amount of timepoints you have.  These will serve as your
within-subject factors.

A "mixed model" could refer to models with both fixed and random effects but
can also refer to models with within and between subjects factors.  I assume
you mean the latter.  Look at between subjects effect to examine the impact
of group and within-subjects effect to examine the impact of time.  Remember
to pay particular attention to the interaction because you may have one or
several groups which exhibit a different trend across time.

Jeff
---------------------------------------------------------------
Jeff Dang, MPH
Statistician
UCLA Cousins Center for Psychoneuroimmunology
(Affiliated with the Neuropsychiatric Institute and
Department of Psychiatry and Biobehavioral Sciences)
300 UCLA Medical Plaza, Room 3148
Los Angeles, CA 90095-7057
Tel: 310-267-4389
Fax: 310-794-9247
E-mail: [EMAIL PROTECTED] 
Web: http://www.cousinspni.org/

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-----Original Message-----
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] 
Sent: Tuesday, January 27, 2004 6:08 AM
To: [EMAIL PROTECTED]
Subject: [edstat] repeated measures



I'm fitting a repeated measures mixed model, so the explanatory variables
are
the same for each variate. The subjects can be categorized into group A, B,
C
etc.
Each group has a number of fixed effects parameters. I'm testing whether the
mean values of the estimated parameters in each group are different over all
responses, but i don't know the best way to describe the test. For instance,
am
i testing whether the within subject and within group estimated mean values
are
significantly different.

Can someone help?

Thanks in advance.
.
.
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