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LCGA R3STEP Imputation of auxiliaries
Growth Modeling of Longitudinal Data
posted on Thursday, July 04, 2019 - 6:04 pm
1) Is it ok to use R3STEP to predict class membership in LCGA?
2) I ran the analysis and it worked, but I have some missings and the analysis uses listwise deletion. However, it recommends to the following:
DATA IMPUTATION CAN BE USED FOR THE AUXILIARY VARIABLES FOLLOWED BY ANALYSIS WITH TYPE=IMPUTATION
But I use ANALYSIS: TYPE = MIXTURE to do the analysis and TYPE = IMPUTATION MIXTURE does not work.
So where do I need to put the impute command and should it rather look like (from Chapter 11: Missing Data Modeling and Bayesian Analysis):
IMPUTE = y1-y4 x1 (c) x2;
NDATASETS = 10;
Bengt O. Muthen
posted on Friday, July 05, 2019 - 3:37 pm
(2) The idea is to first do imputation and then read in Type=Imputation via the Data command for the mixture analysis. So 2 steps.
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