

LCA Interpretation of Output 

Message/Author 

Sarah Dauber posted on Wednesday, February 28, 2007  9:07 am



Hello, I am running an LCA with ordinal indicator variables. Each variable has between 3 and 5 response categories. I am looking at the part of the output titled "results in probability scale." My understanding is that the estimate for each response category of each variable is the probability of endorsing that response, is this correct? Can this also be interpreted as the percent of people in each class that endorsed that response? For ex, one of my variables is mental health problems with the following responses and estimated probabilities for class 1: No problems .914 Meds only .080 Hospitalization and meds .010 Is it correct to say that 91% of people in class1 have no mental health problems, 8% have meds only, and 10% have hospitalization and meds? Thanks so much for your help! Sarah Dauber 


That sounds correct. 


Hello, I just ran a 2class LCA model. When I checked the percent of respondents in each category of each indicator against the frequencies of each item printed from SPSS, they were slightly off. What could be the reason for this? Thanks, Sarah Dauber 


I think it is probably that a different sample size is being used in each case. Check the number of observations. 


Hello, I am running a LCA with count variables. Mplus gave me means of each indicator per a class. I am thinking, exponentiated means of each indicator = average expected count of each indicator in a given class. Is it correct? Thank you so much! 


Mplus estimates the log rate (because the model is linear in this quantity). So if you want the rate (mean), yes, you would exponentiate it. 

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