Date: Fri, 23 Jul 1999 17:30:14 -0500
Reply-To: "Nichols, David" <nichols@SPSS.COM>
Sender: "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From: "Nichols, David" <nichols@SPSS.COM>
Subject: Re: NESTED ANALYSES in SPSS
You need to add the main effect of ipgt_grp to the DESIGN subcommand.
David Nichols
Principal Support Statistician and
Manager of Statistical Support
SPSS Inc.
> -----Original Message-----
> From: David Soliz [mailto:kckds@EMAIL.MSN.COM]
> Sent: Friday, July 23, 1999 4:21 PM
> To: SPSSX-L@LISTSERV.UGA.EDU
> Subject: NESTED ANALYSES in SPSS
>
>
> I am doing some analyses for a paper and have been struggling
> with something
> I was wondering if anyone has suggestions. The analyses are
> for a treatment
> outcome paper examining the impact of three conditions -
> group treatment
> without BPD members, groups treatment with BPD members, and
> WL on various
> symptoms. I have no problem doing a GLM repeated measures
> analysis but am
> stuck on how to nest groups within the treatment condition.
> Each condition
> has 4 groups within it. I would ultimately like to know the
> main effect for
> time, the main effect for treatment condition, the main
> effect for group
> nested within treatment condition, and the interaction between
> timeXtreatment condition. However, I am not getting this no
> matter what I
> try. The syntax file follows. What this gives me is the
> main effect for
> time and the interaction between time by group within
> treatment condition.
> If anyone has suggestions for what I should do I would
> greatly appreciate
> it.
>
> bsi01 - is a symptom measure at time 1
> bsitot_p is a symptom measure at time 2
> ipgt_gp is treatment condition
> txgp is for individual groups 4 of which are in each
> treatment condition
>
> GLM
> bsi01 bsitot_p BY ipgt_grp txgp
> /WSFACTOR = bsitime 2 REPEATED
> /METHOD = SSTYPE(3)
> /INTERCEPT=INCLUDE
> /CRITERIA = ALPHA(.05)
> /PRINT = DESCRIPTIVE ETASQ OPOWER PARAMETER HOMOGENEITY
> /DESIGN txgp WITHIN ipgt_grp .
>
> Any suggestions would be greatly appreciated. Thanks. Desperate
>
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