Table 1.

Models and their fit statistics.

	BIC (LL)	N par	L 2	PRE in %	Bootstrap p value L2	Class. err. (%)
Baseline model	30067.79	44	9608.64		0.000	0
1 cfa factor 5 classes	27483.56	60	6902.99	28.16	0.000	29.71
2 cfa factors 3, 3	26259.74	61	5671.57	40.97	0.006	19.37
2 cfa factors 4, 4	26065.31	63	5461.97	43.16	0.036	26.63
2 cfa factors 4, 5	26051.84	64	5440.91	43.37	0.056	26.68
2 cfa factors 5, 5	26033.25	65	5414.73	43.65	0.062	26.48
2 cfa factors 6, 5	26032.60	66	5406.49	43.73	0.024	38.37
2 cfa factors 5, 5 errorcov 1 and 10	26016.70	66	5390.60	43.90	0.050	24.82

Note. BIC: Bayesian Information Criterion; N par: number of parameters in the statistical model; L²: squared log-likelihood; PRE: proportion reduction of error; Class. err.: classification errors. Models are divided into a one-factor model, bifactorial models with different numbers of classes, and a final model with two factors including five classes each, where the error correlation between items 1 and 10 is .20. The model with the best fit is presented in bold.