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GMM: Fixing Common Intercepts with Ra... |
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I am attempting to build a GMM in which there are 3 known classes and 2 latent classes per treatment group (decided based upon comparison of fit statistics and class sizes). Within each Class, I would like to fix intercepts to be common, but allow the slopes to be random. Intercepts can differ between each class. I currently have: %CT#1.C#1% [i1]; [s1]; %CT#1.C#2% [i1]; [s1]; etc for CT#2 and CT#3 What do I need to add to my 'I1's to ensure that individuals within a class have common intercepts? Many thanks, Katherine |
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Do you want the means of the intercept and slope growth factors held equal across the known classes or the unknown classes? |
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Thank you for your reply. I would like the mean intercepts to be held equal for each latent class within its respective known class. Slopes can be random. That is, I would like the model to find individuals within, e.g. CT1.C1, that have a common intercept, but random slopes. This intercept should not be constrained to be equal to the intercept in, e.g. CT1.C2, CT2.C1, etc. Would this produce those results: %CT#1.C#1% [i1] (1); [s1]; %CT#1.C#2% [i1] (2); [s1]; Or this: %CT#1.C#1% [i1] ; %CT#1.C#2% [i1]; |
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I think what you want is: %ct#1.c#1% [i1] (1); %ct#1.c#2% [i1] (2); %ct#2.c#1% [i1] (1); %ct#2.c#2% [i1] (2); |
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