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 Roarke Dallas posted on Friday, June 10, 2016 - 7:36 am
Hi. I'd like to estimate a two-level model (people clustered with supervisors). I have specified a unidimensional model (for ordered categorical items) on the within level. I am aware of how to let loadings vary. However, how do I specify a model that lets the factor mean vary across clusters? Sorry if I'm being dense.

Here's a code snippet:
%within%
g1 by sf1* sf2 sf3 sf4 sf5 sf6 sf7 sf8 sf9 sf10 sf11 sf12 sf13 sf14;
g1@1;
%between%

How do I let g1 vary across clusters (without getting an error)? To be clear, I don't hypothesize a cluster level factor. Rather, I want to estimate how much the factor varies within and across clusters.

For example, suppose y1 us a continuous variable. The following code would result in an estimate for the mean and the within and between level variance:
%within%
y1;
%between%
y1;

How can one do the same with the factor g1?

Thanks!
 Linda K. Muthen posted on Friday, June 10, 2016 - 9:13 am
y1 refer to the variance not the mean.

In a cross-sectional study, the mean of a latent variable is fixed at zero.
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