There are three estimators available for TYPE=MISSING in Mplus: ML, MLR, and MLF. The MLR estimator gives robust standard errors and the chi-square test statistic referred to as the Yuan-Bentler T2* test statistic. This is documented in the Addendum to the Mplus User's Guide which is available at www.statmodel.com under Product Support.
I am using 5 imputed data sets to do a 2class mixture model with an interaction term. i have a fairly small n = 48. is this trustworthy at any possibility or simply just not adequate.
2nd question belonging to the same model(and to the topic): the standard error in the model output for one parameter eg. 64 don't fit to the acov matr. in the output for any of the 5 imputations. here the var of the param = 20. is there one true or both not reliable.