This warning message should be printed only with random slopes like for the UG ex 9.2c (part 3) on pages 278-279. So you should ignore this warning for your example. A latent variable decomposition is carried out also with ML (not only for Bayes) for your example and the results are correct.
DONGHO CHOI posted on Monday, January 06, 2020 - 11:04 pm
I both tried UG ex 9.1b and 9.2c and they both gave same error message above. Yet in 9.2c UG says the model uses observed covariate x on within-level and latent variable covariate x_bj on between-level.
So is warning message in 9.2c not ignorable? I mean are the x scores being used on within-model in 9.2c actually observed scores, not latent ones?
Mplus version 8.4 gives the following message for ex 9.2c and it is correct:
In the MODEL command, the predictor variable on the WITHIN level refers to the whole observed variable in the statement: S | Y ON X To use the latent within-level part, use ESTIMATOR=BAYES in the ANALYSIS command.
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