Table 2. Model Fit Statistics of Latent Class Growth Analysis with 1-9 Classes.

Number of Classes	LL	BIC	Entropy	Posterior Probabilities
1 class	-1117.58	2264.32	NA	1.000
2 class	-1064.14	2176.89	0.916	0.845-0.994
3 class	-1041.61	2151.25	0.871	0.858-1.000
4 class	-1022.14	2131.75	0.900	0.911-1.000
5 class	-1006.39	2119.70	0.915	0.914-1.000
6 class	-992.97	2112.29	0.926	0.914-1.000
7 class	-984.64	2115.07	0.925	0.925-1.000
8 class	-974.73	2114.69	0.931	0.908-1.000
9 class	-971.09	2126.86	0.917	0.826-1.000

LL=log-likelihood. BIC=Bayesian information criterion (smaller better). Entropy (close to 1 is better). Posterior probabilities (close to 1 is better). VLMR = Vuong-Lo-Mendell-Rubin likelihood ratio test. BLRT=Bootstrap likelihood ratio test (significant p-value but insignificant p-value for (k+1)-class model). The final model selected for interpretation is shown in bold.