Date: Tue, 2 Feb 1999 14:39:39 -0600
Reply-To: "Nichols, David" <nichols@SPSS.COM>
Sender: "SPSSX(r) Discussion" <SPSSX-L@UGA.CC.UGA.EDU>
From: "Nichols, David" <nichols@SPSS.COM>
Subject: Re: repeated measures covariate in GLM?
GLM uses the multivariate general linear model approach to repeated
measures, which means that the fundamental model is the same as that for a
multivariate analysis (without repeated measures) on the same data. In this
approach, the analysis you seem to want isn't defined. In order to get what
you want, you'd need to rearrange the data to have one case per time point
and fit it as a univariate mixed model. The older MANOVA procedure,
available only through command syntax, offers a limited set of output for
the univariate approach model.
David Nichols
Principal Support Statistician and
Manager of Statistical Support
SPSS Inc.
> -----Original Message-----
> From: Larry W Hawk [SMTP:lhawk@ACSU.BUFFALO.EDU]
> Sent: Monday, January 25, 1999 12:36 PM
> To: SPSSX-L@UGA.CC.UGA.EDU
> Subject: repeated measures covariate in GLM?
>
> GLM seems quite flexible for most of my needs. However, I have been
> unable to find anything that would make it possible to examine repeated
> measures covariates. Specifically, I have a 5 A x 2 B within-subjects
> design (4 1-df contrasts are used for A). For each of these 10 magnitude
> values, there is a corresponding baseline value. I'd like to examine
> effects of the factors on magnitude with baseline partialled.
> Suggestions? Thanks in advance,
> Larry Hawk
>
> --------------------------------------------------------------------
> / Larry Hawk, Ph.D. / /
> / Assistant Professor / Phone: 716-645-3650 x231 /
> / Department of Psychology / Fax: 716-645-3801 /
> / Park Hall / E-mail: LHAWK@ACSU.BUFFALO.EDU /
> / SUNY-Buffalo / /
> / Buffalo, NY 14260-4110 / /
> --------------------------------------------------------------------
| 
