Table 2.

Model fit for the latent factor, latent class, and hybrid models for the fast track sample (N=715)

Model	Log-likelihood	# parameters	Entropy	BIC	LRT (p)
Latent factor models
1-factor	−1313.76	14	1.00	2719.53	–
2-factor a	−1303.60	15	1.00	2705.78	–
2-factor b	−1310.60	15	1.00	2719.67	–
2-factor c	−1302.19	15	1.00	2702.97	–
2-factor d	−1298.26	16	1.00	2701.67	–
3-factor	−1300.74	17	1.00	2713.20	–
Latent class models
2-class	−1317.87	15	0.70	2734.32	230.68 (0.0001)
3-class	−1299.07	23	0.81	2749.31	36.89 (0.51)
Non-parametric factor analysis
1-factor, 2-value	−1317.87	15	0.70	2734.32	230.68 (0.0001)
1-factor, 3-value	−1311.04	17	0.67	2733.81	12.69 (0.79)
2-factor 2d, 2-value	−1317.87	16	0.70	2740.90	231.16 (0.0001)
2-factor 2d, 3-value	+1299.74	19	0.83	2724.36	34.50 (0.66)
FMM-1: class invariant factor loadings and thresholds; class varying factor means, and covariance matrix
1-factor, 2-class	−1311.76	17	0.28	2735.25	3.71 (1.00)
2-factor 2d, 2-class	−1294.00	22	0.16	2732.59	9.86 (0.68)
FMM-2: class invariant thresholds; class varying factor loadings, means, and covariance matrix
1-factor, 2-class	−1293.39	25	0.59	2751.08	40.14 (0.45)
2-factor 2d, 2-class	−1285.47	32	0.55	2781.25	25.38 (1.00)
MM-3: class varying factor loadings, thresholds, means, and covariance matrix
1-factor, 2-class	−1288.28	32	0.85	2786.87	50.51 (0.95)
2-factor 2d, 2-class	−1283.45	39	0.30	2823.22	29.40 (1.00)