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Categorical data modeling - beginner |
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Message/Author |
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Jack Noone posted on Wednesday, September 12, 2007 - 3:54 pm
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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? thanks jack |
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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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