TABLE 2.

Model Comparisons, Fit Indices, and Class Proportions for Male Subjects

	No. of Factors (f) or Classes (c)	Log Likelihood	No. of Estimated Parameters	AIC	BIC	Adjusted BIC	L-M-R p	Class Proportions (%)
EFA	1f	–115205.8	68	230547.5	231011.1	230795.0
	2 f	–113919.5	84	228006.9	228579.6	228312.7
	3 f	–113434.1	99	227066.2	227741.1	227426.5
	4 f	–113094.9	113	226415.8	227186.1	226827.0
LCA	2 c	–119805.5	103	239817.1	240519.3	240192.0	.0	56.7, 43.3
	3c	–115824.9	155	231959.7	233016.4	232523.9	.0	42.9, 37.9, 19.1
	4c	–114443.9	207	229301.8	230713.0	230055.2	.0	41.8, 30.2, 18.8, 9.1
	5c	–113521.3	259	227560.6	229326.3	228503.3	.0	33.7, 29.1, 17.4, 13.5, 6.2
	6 c	–112786.6	311	226195.1	228315.3	227327.0	.0	30.8, 20.2, 17.7, 14.4, 12.0, 4.9
	7c	–112319.3	363	225364.6	227839.3	226685.8	.76	28.7, 17.1, 15.5, 12.5, 11.5, 9.6, 5.1
	8 c	–112013.3	415	224856.6	227685.8	226367.0	.76	26.3, 18.4, 17.4, 9.3, 8.7, 8.5, 7.4, 4.0
FMM	2 f 1 c	–114487.0	69	229112.0	229582.4	229363.2
	2f 2c	–112294.9	124	224837.9	225683.2	225289.2	.75	72.2, 27.8
	2f 3c	–111769.2	179	223896.5	225116.8	224548.0	.71	49.1, 35.5, 15.5
	2f4c	–111268.9	234	223005.2	224600.5	223856.9	.76	35.5, 28.4, 26.0, 10.0
	2f5c	–110989.9	289	222557.9	224528.1	223609.7	.77	31.5, 23.1, 18.9, 15.2, 11.2

Note. N = 6,751. AIC = Akaike Information Criterion; BIC = Bayesian Information Criterion; L–M–R = Lo–Mendell–Rubin; EFA = exploratory factor analysis; LCA = latent class analysis; FMM = factor mixture modeling. Boldface represents the best fitting model within each subtype.