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Date:         Fri, 19 Sep 2003 16:20:15 -0500
Reply-To:     Paul R Swank <Paul.R.Swank@uth.tmc.edu>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Paul R Swank <Paul.R.Swank@uth.tmc.edu>
Subject:      Re: repeated measures multiple comparisons
Comments: To: Paul Mcgeoghan <Mcgeoghan@Cardiff.ac.uk>
In-Reply-To:  <sf6b67e1.005@MAINCF1P.cf.ac.uk>
Content-Type: text/plain; charset="us-ascii"

Include hospital type as an independent variable (fixed effect) along with group.

Paul R. Swank, Ph.D. Professor, Developmental Pediatrics Medical School UT Health Science Center at Houston

-----Original Message----- From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of Paul Mcgeoghan Sent: Friday, September 19, 2003 1:33 PM To: SPSSX-L@LISTSERV.UGA.EDU Subject: repeated measures multiple comparisons

Hi,

I have a customer who has measured Blood-glucose levels over 3 visits while Fasting and after eating. Therefore, there are 2 measures named Fasting and PostPar measured at 3 levels. There are 2 between subject factors named Hospital (2 groups, private and government) and Patient Group (control and study).

Within each hospital type, I can work out if there is a difference from visit 1 to visit 2, visit 2 to visit 3 for the control group and the study group seperately via the repeated measures syntax: /EMMEANS = TABLES(hospital*group*visit) compare(visit)

The customer would like for each hospital to compare the study group and the control group on the mean difference from visit 1 to visit 2 and visit 2 to visit 3 to see which group has had the biggest increase or decrease from visit to visit.

The only way in repeated measures I can see of doing this is to Split the file first by Hospital Type, enter the Patient Group as a Between Subject factor and choose Repeated Contrasts. Then the Test of Within-Subject Contrasts gives me the interaction between VISIT*GROUP comparing Level 1 to Level 2 and Level 2 to Level 3.

Is there another way in repeated measures of achieving this?

Thanks in advance, Paul

================== Paul McGeoghan, Application support specialist (Statistics and Databases), Information Services, Cardiff University. Tel. 02920 (875035).


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