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 self-esteem. I have run the syntax:
auxiliary = SE(BCH); MODEL: %OVERALL% Analysis: type = mixture;
The output gives me a chi-square 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 t-tests or an ANOVA?
2) How can I produce descriptive statistics for other measures I may want to include for each of the latent classes?
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?