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Hello,
I hope that you can help me. I understand that model fit indices for twolevel random models are tricky because variance varies between subjects. What I would like to know is what this means for the tech3 output? In particular, I am interested in the correlation matrix given in the tech3 output. I can see that if I just put in the elements that I want in my model, without specifying pathways (as shown at the end of my question)the tech3 option gives me a correlation matrix for these. My maths is not great, but my understanding of such a matrix is that it relies on group variance. Given that this can't be reliably estimated, how should the correlation matrix in the tech3 output be understood?
ANALYSIS: TYPE=TWOLEVEL RANDOM;
MODEL:
%WITHIN%
S1|W ON V;
S2|W ON A;
S3|W ON T2;
S4|W ON TA2;
S5|AP2 ON V;
S6|AP2 ON A;
S7|AP2 ON T2;
S8|AP2 ON TA2;
%BETWEEN%
W;
AP2;
S1;
S2;
S3;
S4;
S5;
S6;
S7;
S8;
OUTPUT: TECH1 TECH3;
Thank you  |
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| Tech3 gives the correlations between the parameter estimates, so that draws on information from all the data. |
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