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Longitudinal SEM with censored indica... |
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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? Thanks, Pat Malone |
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I would try WLSMV where you can have residual covariances without using numerical integration. |
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Thanks, Linda. Worked like a charm. |
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