Table 2.

Model fit statistics by gender for Latent Class Analysis models with two to six latent classes (both cohorts)

Model	− LL	SCF	χ2 LRT (p value)	Stdres (%)	LMR- LRT (p value)	BLRT	CAIC	ssBIC	BF	cmP	SSS	Entropy
Women
Two-class	− 18,486.365	1.30	15,478.245 (p > .001)	19.71	7284.164 (p < 0.001)	< 0.001	37,014.731	37,149.763	0.00	0.000	615	0.944
Three-class	− 16,114.820	1.05	4212.802 (p > .001)	20.19	4692.487 (p < 0.001)	< 0.001	32,293.640	32,499.404	0.00	0.000	498	0.986
Four-class	− 15,536.334	1.03	1947.927 (p > .001)	9.62	1144.629 (p < 0.001)	< 0.001	31,158.668	31,435.162	0.00	0.000	437	0.887
Five-class	− 15,441.485	1.07	1723.971 (p > .001)	7.21	187.674 (p < 0.001)	< 0.001	30,990.970	31,338.196	0.00	0.000	138	0.884
Six-class	− 15,358.161	1.10	1527.773 (p > .001)	2.88	164.869 (p < 0.05)	< 0.001	30,846.323	31,264.280	Na	1.000	129	0.862
Men
Two-class	− 13,003.030	1.08	13,371.401 (p < 0.001)	24.87	7481.301 (p < 0.001)	< 0.001	26,048.061	26,174.903	0.00	0.000	657	0.971
Three-class	− 11,815.458	1.02	3842.066 (p < 0.001)	20.30	2348.590 (p < 0.001)	< 0.001	23,694.915	23,888.199	0.00	0.000	305	0.991
Four-class	− 11,433.833	1.03	1792.755 (p < 0.001)	10.15	754.716 (p < 0.001)	< 0.001	22,953.665	23,213.391	0.00	0.000	305	0.907
Five-class	− 11,298.985	1.04	1550.583 (p < 0.001)	7.61	266.680 (p < 0.001)	< 0.001	22,705.970	23,032.137	0.00	0.000	289	0.905
Six-class	− 11,183.159	1.04	1091.158 (p < 0.01)	3.05	164.869 (p < 0.05)	< 0.001	22,496.319	22,888.927	Na	1.000	288	0.851

− LL log likelihood, SCF scaling correction factor of the robust maximum likelihood estimator, χ2 LRT likelihood ratio chi square goodness-of-fit; Stdres = standardized residuals, LMR-LRT Lo–Mendell–Rubin likelihood ratio test, BLRT bootstrapped likelihood ratio test, CAIC Consistent Akaike information criterion, ssBIC sample-size adjusted Bayesian information criterion, BF Bayesian factor, cmP approximate correct model probability, SSS smaller class numerosity