Table 1.

Model fit indices and estimated profile sizes.

Model	Par	AIC	BIC	Δ BIC	Class size	Entropy	LMR-LRT	P
1 Class	18	23,499	23,568	–	100 %	–	–	–
2 Class	28	23,085	23,192		86 %, 14 %	0.84	426.89	0.004
2 Class R	26	23,086	23,185		86 %, 14 %	0.85	420.27	0.004
3 Class	36	22,923	23,061		81 %, 10 %, 9 %	0.85	173.97	0.389
3 Class R	30	22,884	22,999		80 % 11 %, 9 %	0.89	290.79	0.042
4 Class*	40	22,733	22,887		53 %, 27 %, 11 %, 9 %	0.80	129.88	0.009
4 Class R *	40	22,733	22,887		53 %, 27 %, 11 %, 9 %	0.80	129.88	0.009
5 Class	50	22,612	22,804		51 %, 28 %, 9 %, 7 %, 5 %	0.81	142.37	0.235
5 Class R	46	22,601	22,777		52 %, 27 %, 11 %, 7 %, 3 %	0.82	131.36	0.219
6 Class	56	22,496	22,711		52 %, 27 %, 7 %, 6 %, 5 %, 3 %	0.83	117.82	0.295

Note: R = Revised Model, LCA = Latent Class Analysis, BIC = Bayesian Information Criterion, AIC = Akaike Information Criterion, LMR-LRT = Lo-Mendel-Rubin Likelihood Ratio Test, Par. = Parameters in model. Bold typeface indicates model chosen for best overall fit and interpretability.

^*denotes that these classes were identical because no modifications needed to be made from the 4-class to the 4-class revised model.