Hi everyone,
I'm dealing with not normal distributed items so I'm testing my model using USLM estimator like this:
fit <- cfa(model = my_model, data = my_data, meanstructure = TRUE, std.lv = T, estimator= "ULSM")
sum_fit <- summary(fit, standardized = T, rsquare = T, fit.measure = T)
Unfortunately summmary function doesn't give me back AIC values by default. Browsing some site I found the function AIC() but I don't think I'm using it in the right way at all.
Can someone kindly indicate me the correct way to calculate the AIC in my situation?
Thank you so much