

Twopart model with an ordinal outcome 

Message/Author 

Mplususer posted on Tuesday, December 12, 2006  10:19 pm



Dear Dr. Muthen, Would you mind dropping me a hint about modeling twopart GMM with an ordinal outcome. My question is as follows: ********************************************************************** Let's use Example 6.16 in Mplus user's guide DATA: FILE = ex6.16.dat; DATA TWOPART: NAMES = y1y4; BINARY = bin1bin4; CONTINUOUS = cont1cont4; ! Can it be changed to Categorical = cont1cont4 for my ordinal outcome? VARIABLE: NAMES = x y1y4; USEVARIABLES = bin1bin4 cont1cont4; ! Do I need to add Categorical = cont1cont4 here ? CATEGORICAL = bin1bin4; MISSING = ALL(999); ! Can I add Classes = (2) for mixture modeling 

Mplususer posted on Tuesday, December 12, 2006  10:20 pm



ANALYSIS: TYPE = MISSING; ! Can I specify Type = Mixture Missing; here? ESTIMATOR = MLR; MODEL: ! Can I add %Overall% and %c#1% statements for my twopart growth mixture model iu su  bin1@0 bin2@1 bin3@2 bin4@3; iy sy  cont1@0 cont2@1 cont3@2 cont4@3; su@0; iu WITH sy@0; ************************************************************************* Looking forward to your reply. Respectfully, UseMplus 


Twopart growth modeling describes growth in two parts: a binary part and a nonzero (typically continuous) part. You can do twopart modeling where the nonzero part is treated as ordered categorical. This would allow the binary and the nonzero parts of the model to have different covariate effects. With floor effects, the lowest category would be scored missing in the nonzero part. This cannot, however, be done in a single DATA TWOPART run because the CONTINUOUS = part is needed. You would have to first do a regular DATA TWOPART run and save the data. Then run these data with a regular input for parallel process growth modeling with a binary and a ordered categorical outcome. Mixture modeling can be added to this, either with one latent class variable or one for each process, possibly correlating the two latent class variables. 

Mplususer posted on Wednesday, December 13, 2006  2:25 pm



Thanks! If you don't mind, I would like to make sure if I truely understand you, as I am a beginner with this modeling. (1) By "first do a regular DATA TWOPART run and save the data": Do you mean dividing my data into the binary part and the nonzero (ordinal) part. If so, I think I have done with it. If not, would you correct me? (2) By parallel process GMM, you mean I can refer to Example 6.13 in User's Guide but treat my data as with a binary and a ordered categorical outcome and I can use regular mixture statements (e.g., Classes = (2), etc.) for these two parallell processes just as you suggested ("with one latent class variabel...two latent class variables"), right? Thanks UseMplus 


1. Just be sure you have created the variables correctly. You can see the rules in DATA TWOPART. 2. Sounds right. 

Mplususer posted on Wednesday, December 13, 2006  6:06 pm



Thanks. 

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