Table 1.

Model fit statistics for latent profile analysis by number of estimated profiles.

Class	LL	AIC	CAIC	BIC	SABIC	Entropy	Prob. Min.	Prob. Max.
2	− 292,840	585,874	586,653	586,556	5.86e5	0.87	0.92	0.98
3	− 284,680	569,621	570,664	570,534	5.70e5	0.94	0.93	0.99.9
4	− 282,091	564,507	565,816	565,653	5.65e5	0.89	0.91	0.99.9
5	− 280,565	561,523	563,096	562,900	5.62e5	0.91	0.90	0.99

LL Log-likelihood, AIC Akaike information criterion, BIC Bayesian information criterion, CAIC Consistent Akaike information criterion, SABIC Sample size-adjusted Bayesian information criterion, Entropy A measure of classification uncertainty, Prob. Min. Minimum of the diagonal of the average latent class probabilities for most likely class membership, by assigned class, Prob. Max. Maximum of the diagonal of the average latent class probabilities for most likely class membership, by assigned class. The maximum should also be as high as possible, reflecting greater classification certainty.