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Re: Multivariate comparison (Hotelling's T?)

Posted by Swank, Paul R on Nov 13, 2012; 5:45pm
URL: http://spssx-discussion.165.s1.nabble.com/Multivariate-comparison-Hotelling-s-T-tp5716159p5716169.html

Question 1 sounds like a repeated measures design assuming the 9 dependent variables are all in the same scale. This can be done with a univariate repeated measures design or a multivariate design. However, Hotelling's T squared is the multivariate extension of the t test for two correlated measures or two independent groups. There are several multivariate tests available but I have always liked  Wilks' Lambda since 1 minus Wilks' lambda is a nice measure of effect size. The second question is what I would call doubly repeated measures since you have 9 dependent variables and two times. This could be handled as a multivariate repeated measures as well, using time for the repeated factor and DV for the multivariate test. As David suggests, see the GLM procedure.

 Dr. Paul R. Swank, Professor
Health Promotion and Behavioral Sciences
School of Public Health
University of Texas Health Science Center Houston


-----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of David Marso
Sent: Monday, November 12, 2012 7:04 PM
To: [hidden email]
Subject: Re: Multivariate comparison (Hotelling's T?)

Look at GLM with REPEATED subcommand.


torvon wrote

> Hello.
>
> I have the following two problems, and I think I might need
> Hotelling's T test for that.
>
> (1) I want to test whether my 9 dependent variables (9 symptoms) are
> equally high or not (equally high = Null Hypothesis). I can run a
> couple of t-tests to compare them, but would like to do this in one
> step. Is Hotelling's T the correct test for this? I googled for
> Hotelling's T, but the results are very different from each other, and
> although Hotelling's T pops up under various options, I have not found
> any way to test against the Null Hypothesis of equal severity.
> The dependent variables are ordinal (0,1,2,3) and pretty skewed, but I
> guess I could treat them as metric for this.
>
> (2) I want to compare 9 dependent variables at time 1 to the same
> variables at time 2. I want to know whether the profile of severity
> changes or not. How would I do this? Also Hotelling's T? If so, what
> option exactly? Again google wasn't helpful, people say "MANOVA" or
> "SCALE", and yes, I do find an output option, but nowhere does SPSS
> allow me to put down 2 measurement points.
>
> Thank you!
>
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