Longitudinal SEM with censored indica... PreviousNext
Mplus Discussion > Categorical Data Modeling >
 Patrick Malone posted on Thursday, April 25, 2013 - 6:01 am
Good morning.

I have a situation of repeated measures SEM -- two sets of a four-factor / 32-item measure. All items are censored (a). The measurement model with longitudinal measurement invariance converges fairly easily. A regression model (Time 2 factors regressed on Time 1 factors, and all regressed on a covariate) does not converge, after many attempts and variations.

With continuous indicators, I would covary residuals across time for each specific item. That, of course, isn't permitted with censored items.

Is there a way around that limitation? Any other suggestions?

Pat Malone
 Linda K. Muthen posted on Thursday, April 25, 2013 - 8:20 am
I would try WLSMV where you can have residual covariances without using numerical integration.
 Patrick Malone posted on Thursday, April 25, 2013 - 10:40 am
Thanks, Linda. Worked like a charm.
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