

1step method in LCA with continous d... 

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Shuai Chen posted on Friday, April 05, 2013  10:06 pm



Hello, I want to do 1step method in LCA with continous distal outcome x. My model is: x>c>y, where c is latent class, y is observed categorical indicator. I want to predict the mean of x from c, ie, E(xc). How to obtain this from Mplus results? Thank you! Shuai 


I think you get the x means in each class in the output  request RESIDUAL. 

Shuai Chen posted on Tuesday, April 09, 2013  6:27 pm



Thank you! One more question, how to obtain E(xc), if the model changes to be: c>y? 


You say that your model is c>y, but what role does x play in the model? 

Shuai Chen posted on Wednesday, April 10, 2013  10:35 pm



Here x is not in the model. I guess now we can not use 1step method since x is not in the model, but can only use 3step method by setting x as AUXILIARY. Am I right? 


Right. 

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