Latent Profile Analysis (LPA) in R

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  1. Anna Crawford
Рекомендации по теме
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Комментарии
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Thanks very much for this! You saved my head

samueljuma
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AIC and BIC have built-in penalties for over-complicated models. So, the lowest number would be the best, actually (unless you want a steeper penalty for some reason). I think that here you are treating AIC and BIC like a scree plot for a factor analysis, which always goes down but at some point the decrease is not important anymore.

nixgeldring
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Amazing video! Thank you so much for posting! Do you have this dataset to practice with? Is it publicly available?

JordanaBreton
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Thank you very much for this video. Does one of you know how to apply maximum likelihood with robust standard error estimation in R? Because my data don"t follow a normal distribution, I read in an article that you have to applied it.

sadio