Type = complex with multiple imputations PreviousNext
Mplus Discussion > Multilevel Data/Complex Sample >
 Alfgeir L. Kristjansson posted on Thursday, March 01, 2018 - 11:53 am
Dear Dr. Muthen,
I am using version 8.0 with both add-ons, and am attempting to run a cross-lagged model with clustered data using type=complex, estimator= wlsmv, and imputations for missing data. My colleague was able to run this model on a Mac but for some reason I keep getting this error message:

*** ERROR in ANALYSIS command
TYPE=COMPLEX is not currently available with multiple imputation with the

Do you have any idea what is causing this?
Thank you.
 Tihomir Asparouhov posted on Thursday, March 01, 2018 - 3:18 pm
It is is caused by the fact that you are trying to do the imputation and the estimation in one step - which is not available for type=complex. Also Mplus can't do it in one step because it doesn't know how to use the clustering - it would require to specify a two level model. The proper way to accomplish this is in two steps.

Step 1. Multilevel data imputation: for example take User's guide example 11.8. If you don't want to specify an imputation model you can run instead an H1 imputation as follows: remove the model statement and use this

Step 2. Analyze the data - see user's guide example 12.6 STEP 2 (but replace type=montecarlo with type=imputation)
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