Table 5.

Relative Fit of One-Class Versus Two-Class Conditional Models (of 500 Samples, N = 200).

Fit statistic	Mean differencea	Mean % changea	Class membershipb
One covariate, skewness 0, kurtosis 0
AIC	39.84	0.85	Class 1 = 68 (34)
BIC	26.64	0.56	Class 2 = 132 (66)
SBIC	39.32	0.83
One covariate, skewness 0, kurtosis 2
AIC	35.62	0.76	Class 1 = 68 (34.00)
BIC	22.42	0.17	Class 2 = 132 (65.00)
SBIC	35.10	0.23
One covariate, skewness 1.6, kurtosis 0
AIC	51.81	1.10	Class 1 = 116 (58.18)
BIC	38.61	0.82	Class 2 = 84 (41.82)
SBIC	51.28	1.09
Two covariates, skewness 0, kurtosis 0
AIC	56.39	1.06	Class 1 = 82 (40.84)
BIC	39.90	0.74	Class 2 = 118 (59.16)
SBIC	55.74	1.05
Two covariates, skewness 0, kurtosis 2
AIC	45.50	0.86	Class 1 = 83 (41.35)
BIC	29.01	0.55	Class 2 = 117 (58.65)
SBIC	44.85	0.85
Two covariates, skewness 1.6, kurtosis 0
AIC	52.16	0.99	Class 1 = 115 (57.44)
BIC	35.66	0.67	Class 2 = 85 (42.56)
SBIC	51.51	0.98

Note. AIC = Akaike’s information criterion; BIC = Bayesian information criterion; SBIC = sample-corrected BIC.

^aMean difference = Fit1 − Fit2, and percentage change = (1 − Fit2/Fit1) × 100.