Table 1.

Information criteria and entropies for fitted LTA models with different numbers of classes

No. of classes	AIC	BIC	Sample size adjusted BIC	Entropy
2	24 896	25 146	24 959	0.867
3	24 215	24 631	24 320	0.829
4	23 892	24 499	24 045	0.836
5	23 711	24 534	23 918	0.809
6	23 575	24 640	23 843	0.830

LTA, Latent transition analysis; AIC, Akaike's Information Criterion; BIC, Bayesian Information Criterion.

For the first three indices (AIC, BIC, sample size adjusted BIC) a lower value indicates a better model fit. Entropy measures how well participants are classified with higher values indicating better classification.