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 Natasha Mendoza posted on Wednesday, November 14, 2012 - 8:44 am
Hi all,

I am attempting a cross-lagged panel path analysis.

I have 4 panels (i.e., data collection waves). Each panel has 2 measured variables: 1 continuous and 1 count. I'm trying to predict one with the other over time.

I understand that it is convention to correlate the errors within each panel. When I treat both variables as continuous, I can correlate them. However, when I specify the count variable, I am unable to correlate the errors (and it really should be treated as a count because zero inflated).

Is there another way to correlate the errors or is it impossible because of the variable type?

Much Thanks!
 Linda K. Muthen posted on Thursday, November 15, 2012 - 9:10 am
You need to use the BY option to specify covariances when numerical integration is required because each covariance requires one additional dimension of integration. Following is how you would specify this:

f BY u@1 y;
f@0; [f@0];

where the factor loading of y contains the covariance parameter.
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