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Creating multiple grouping variables ... |
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My data is currently set up in a flatfile whereby each row (case) has three time points (T1, T2, and T3). I am running a latent profile analysis on each of the three time points and it looks something like this: varA_T1 varB_T1 varC_T1 varD_T1 varA_T2 varB_T2 varC_T2 varD_T2 varA_T3 varB_T3 varC_T3 varD_T3 I am aware of the Save = cprobs command, but will this work when I technically have three profiles for each case: one at T1, one at T2, and a third at T3? What is my best option for this? |
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It sounds like you should analyze these 12 outcomes in a single analysis using a latent class variable at each time point, which means that those 3 latent class variables should be related as in an LTA. |
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My full planned analysis is to conduct a latent profile analysis at each time point then to conduct an LTA across each time point. The indicator variables for each profile are as follows: internalizing_T1 externalizing_T1 ADHD_T1 indirect_aggression_T1 internalizing_T2 externalizing_T2 ADHD_T2 indirect_aggression_T2 internalizing_T3 externalizing_T3 ADHD_T3 indirect_aggression_T3 I have already ran a latent profile analysis at each time point and the best fitting model consisted of 4 profiles. This was the case for all three time LPAs, at each timepoint. What I would like to do next is bring my data back into SAS and conduct an LTA, followed by a logistic regression. I plan to group my cases based on their trajectory over time and then use these trajectory groups to predict outcomes using a logistic regression. So I need to create three new variables for each case in MPlus. One variable for their most likely profile at time 1. One variable for their most likely profile at time 2. And one variable for their most likely profile at time 3. Is this possible to do? |
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Yes, use Save = Cprobs and look at the last columns. |
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