Posted by
Gosse, Michelle on
Sep 15, 2011; 8:26pm
URL: http://spssx-discussion.165.s1.nabble.com/Re-iid-distribution-problem-SEC-UNCLASSIFIED-tp4804215p4808200.html
Hi Frank,
Thanks for the earlier response, and I concur with David below.
I'm lost as to the study design, and the fact there are 6 sets of observations per proband makes me wonder if the IV1, IV2, and IV3 were presented using a within-subjects counterbalancing - which would give 6 results per subject.
Cheers
Michelle
-----Original Message-----
From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf Of David Marso
Sent: Friday, 16 September 2011 7:02 AM
To:
[hidden email]
Subject: Re: iid distribution problem
Isn't this a repeated measures data set?
Don't see how that is incorporated.
Are you sure all these factors should be fixed (Again we have no idea what IV1, IV2, IV3 are)?
Are you sure you want to waste DF on 3,4 and 5 way interactions?
Do you have any theory guiding this analysis or are you on a GIGO adventure.
Seriously Frank, is some silly NDA preventing you from spilling the beans on WTF the data are all about?
drfg2008 wrote:
>
> never used this procedure before.
>
> Andy Fields "Discovering Statistics using SPSS":
>
>
> MIXED DV BY prob_sex WITH IV1 IV2 IV3 prob_age
> /CRITERIA=CIN(95) MXITER(100) MXSTEP(5) SCORING(1)
> SINGULAR(0.000000000001) HCONVERGE(0,
> ABSOLUTE) LCONVERGE(0, ABSOLUTE) PCONVERGE(0.000001, ABSOLUTE)
> /FIXED=prob_sex IV1 IV2 IV3 prob_age prob_sex*IV1 prob_sex*IV2
> prob_sex*IV3 prob_sex*prob_age
> IV1*IV2 IV1*IV3 IV1*prob_age IV2*IV3 IV2*prob_age IV3*prob_age
> prob_sex*IV1*IV2 prob_sex*IV1*IV3
> prob_sex*IV1*prob_age prob_sex*IV2*IV3 prob_sex*IV2*prob_age
> prob_sex*IV3*prob_age IV1*IV2*IV3
> IV1*IV2*prob_age IV1*IV3*prob_age IV2*IV3*prob_age
> prob_sex*IV1*IV2*IV3 prob_sex*IV1*IV2*prob_age
> prob_sex*IV1*IV3*prob_age prob_sex*IV2*IV3*prob_age
> IV1*IV2*IV3*prob_age
> prob_sex*IV1*IV2*IV3*prob_age | SSTYPE(3)
> /METHOD=REML
> /PRINT=DESCRIPTIVES.
>
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