Re: Design analysis help

Posted by Rose, Fred on Apr 10, 2007; 10:23pm
URL: http://spssx-discussion.165.s1.nabble.com/Design-analysis-help-tp1074985p1074988.html

Thanks to those who have responded so far.  I think just asking the question helped give me clarity.  Isn't this "merely" a 3x3 mixed design?  Thus, as Paul noted, a mixed model would do what I wanted.  Unless someone corrects me, I'll just slink back, somewhat embarrassed, that I didn't think of this sooner.

Fred

Fredric E. Rose, Ph.D.
Assistant Professor
Behavioral Sciences
Palomar College
1140 W Mission Rd.
San Marcos, CA 92069
760-744-1150 x2344



-----Original Message-----
From: SPSSX(r) Discussion on behalf of Swank, Paul R
Sent: Tue 4/10/2007 2:08 PM
To: [hidden email]
Subject:      Re: Design analysis help

This is also easily handled with a mixed models approach, wehre there
are typically more options for the variance covariance matrix than in a
repeated measures ANOVA.


Paul R. Swank, Ph.D. Professor
Director of Reseach
Children's Learning Institute
University of Texas Health Science Center-Houston


-----Original Message-----
From: SPSSX(r) Discussion [[hidden email]] On Behalf Of
Gene Maguin
Sent: Tuesday, April 10, 2007 2:48 PM
To: [hidden email]
Subject: Re: Design analysis help

Fred,

I would conceive of this as a repeated measures anova with cup as the
within factor (repeated measure) and brand/type as the between factor.
Repeated measures anova has stringent assumptions regarding the
within-group variance-covariance matrix (vcm) that can be checked. This
would be a good exercise for your class to work through the assumptions.
You also could analyze this as a multivariate anova (i.e., manova) but
while manova allows broader assumptions about the vcm, the price of
those broader assumptions is reduced power. Again, the class could work
through this analysis as well.

Gene Maguin