WLSMV with missing data PreviousNext
Mplus Discussion > Missing Data Modeling >
 Eric Teman posted on Friday, June 22, 2012 - 5:51 pm
On p. 7 of the user's manual, it says essentially that if WLS is used, missingness is not allowed to be a function of observed outcomes. Does this mean WLSMV requires MCAR data?
 Bengt O. Muthen posted on Friday, June 22, 2012 - 8:39 pm
Not if you have covariates - they are allowed to influence missingness.
 Bengt O. Muthen posted on Friday, June 22, 2012 - 8:39 pm
And, you can do multiple imputation followed by WLSMV.
 Eric Teman posted on Wednesday, July 04, 2012 - 4:56 pm
If there are a mix of categorical and continuous variables and WLSMV is used during the imputation phase of multiple imputation,

1. Does the multivariate probit model only apply to the categorical missing values or to continuous as well?

2. Does the multivariate probit model assume normality?
 Linda K. Muthen posted on Thursday, July 05, 2012 - 10:38 am
Multiple imputation is done using the Bayes estimator.

1. Only categorical.
2. Yes.

See the following paper on the website under Papers/Bayesian Analysis:

Asparouhov, T. & Muthén, B. (2010). Multiple imputation with Mplus. Technical Report. Version 2.
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