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Dear all, I need to report the estimates for a 1- to 5 class solution of a LCA. All estimates are made with two IVs (age, gender). Let's assume the following syntax: USERVARS ARE a b c age gender CLASSES = c(2); CATEGORICAL = a b c; ANALYSIS: TYPE=MIXTURE; STARTS = 500 10; STITERATIONS = 20; MODEL: %OVERALL% C#1 ON age gender; I can't seem to figure how to obtain estimates for c(1) or in other words the 1-class solution with covariates included in the model. Many thanks, |
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I also have a question related to such a setting. How can one compare a two class model (in terms of model fit) with a single class model when C is regressed on e.g. gender in the two class model? Can one interpret LMRT and BLRT of the two class conditional model? How can BIC be used in this situation? |
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For Nancy: With only one class, c is no longer a variable and can therefore not be regressed on age and gender. Those IV's can influence other variables in the model, however. |
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For Harald: You have to use the same x's (such as gender) in both of the models you compare. See also answer to Nancy. |
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o.k., and LMRT/BLRT really don't have a meaning in the above mentioned conditional two class model (although there p-values seem plausible)? |
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I think they do. Mplus just ignores c on x for the 1-class alternative. If your model has x influencing only c, then the 1-class model says that the x's don't influence any of the y's - make sure that this is the model you are interested in. |
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Thank you, I will check that. Lastly, I presume BIC cannot be used because it is on a different scale for the single class model (without covariates)? |
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Right. |
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