Posted by
Maguin, Eugene on
Nov 20, 2018; 6:42pm
URL: http://spssx-discussion.165.s1.nabble.com/Mixed-procedure-in-partly-correlated-data-tp5737006p5737008.html
I think an important initial question is how/why did so many kids appear only once.
Gene Maguin
-----Original Message-----
From: SPSSX(r) Discussion <
[hidden email]> On Behalf Of Erkki Komulainen
Sent: Tuesday, November 20, 2018 11:25 AM
To:
[hidden email]
Subject: Mixed procedure in partly correlated data
Hi listers!
I have a data of children tested approximately at the ages of 4, 5 and 6 yrs. N=192. 122 of them appear in the data-matrix only once, 29 appear twice and 4 even three times. Observations are thus partly correlated. The traditional (say) univariate anova goes from the assumption of independent rows in the data. I did the analysis using the mixed procedure where subject-variable is carrying the information of being the same child in different occasion. Most f=122 have unique value in this variable. Any thoughts of using the traditional vs mixed procedure?
Syntax:
MIXED W3YtS BY PIQgrp
/METHOD=REML
/PRINT=SOLUTION TESTCOV DESCRIPTIVES
/FIXED= PIQgrp | SSTYPE(3)
/EMMEANS = TABLES (PIQgrp) COMPARE(PIQgrp) REFCAT(1)
ADJ(LSD )
/RANDOM = INTERCEPT | Subject(Subject) covtype(ID).
Erkki Komulainen
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