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Hi I have done a LCA where I have 3 classes. All variables are continuous. I have a couple of questions: 1) I want to compare each of the classes on levels of selfesteem. I have run the syntax: auxiliary = SE(BCH); MODEL: %OVERALL% Analysis: type = mixture; The output gives me a chisquare test for the differences between classes, however I don't think this is appropriate due to the scores being continuous. How can I program this to give me ttests or an ANOVA? 2) How can I produce descriptive statistics for other measures I may want to include for each of the latent classes? Many thanks! 


1) Chisquare testing is also for continuous outcomes  often called Wald testing. 2) I don't know what you mean. 


1) thanks! 2) Sorry for not being clear. I have included measures of depression & anxiety as well as questionnaires that capture demographic information such as age and gender in my dataset. How do I see, for each of my 3 latent classes, what their levels of depression are and what their mean age is etc? 


Use BCH or DCAT in line with Mplus Web note 21 (see also table at the end). 


Thank you! 

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