Hello, I've got a problem to chose the best segmentation for my CBC via latent class estimation.
My report says that:
Minimum number of groups 2
Maximum number of groups 5
Number of replications 5
Maximum number of iterations 100
Convergence limit for log likelihood 0,01000
Random number seed 1
Null log-likelihood -3465,73590
The summary of best replication includes the groups (2,3,4,5), replication (1,4,3,1), log-likelihood (constantly decreasing from group 2 to 5), percent certainty (increasing), AIC (decreasing), AIC (decreasing), CAIC (increasing), BIC, ABIC (decreasing), Chi-Square (increasing) and relative Chi-Square (decreasing).
How can I derive which segmentation is the best for my study?
Thank you very much!