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 James Hamilton posted on Thursday, June 05, 2014 - 12:17 pm
We are studying personality change from pre- to -post disaster in a group of subjects on whom we have a continuous measure of disaster exposure. We have performed invariance tests comparing the two time periods. There was little difference between the pre- and post models. Nevertheless, we want to test whether the degree to which participants were exposed accounts for the degree to which the pre-disaster model differs from the post-disaster data.

Is there a way to model the effects of exposure of model invariance?
 Bengt O. Muthen posted on Thursday, June 05, 2014 - 3:38 pm
Are you thinking that more exposure would give rise to more measurement non-invariance across the two time points?

If, so there probably are ways to analyze this using the Constraint= option of the Variable command together with Model Constraint, but it takes an advanced Mplus user to carry this out.
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