Categorical data modeling - beginner PreviousNext
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 Jack Noone posted on Wednesday, September 12, 2007 - 3:54 pm
Hello I am new to SEM and mPLus and i have a couple of questions.
1. I have one latent outcome variable that is indicated by 7 dichotomous items and a number of latent independent variables that are indicated by a combination of continuous and ordinal variables. I am assuming that i would need to use categorical data modeling but can I also employ the techniques for dealing with missing data and complex survey designs?

2. I am expecting that the latent outcome variable will also have two second order variables - can you point me in the direction of any literature regarding second order variables in mPLus?

 Linda K. Muthen posted on Tuesday, September 18, 2007 - 4:41 am
1. Yes, these can all be combined in Mplus. You can use either weighted least squares or maximum likelihood with TYPE=MISSING; and the complex survey data features described in the user's guide. See Complex survey data in the index.

2. See the second-order factor example in Chapter 5.
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