Table 3.

Factor pattern coefficients and sources of variance in the WISC/bifactor model.

	General		VC		PR		WM		PS
	λ	Var	λ	Var	λ	Var	λ	Var	λ	Var	h2	u2
Vocabulary	0.73	0.53	0.51	0.26							0.79	0.22
Similarities	0.70	0.49	0.42	0.17							0.67	0.33
Comprehension	0.56	0.31	0.51	0.26							0.57	0.43
Block design	0.63	0.40			0.13	0.02					0.42	0.58
Picture concepts	0.64	0.40			0.05	0.00					0.41	0.59
Matrix reasoning	0.70	0.49			0.10	0.01					0.50	0.50
Digit span	0.57	0.32					0.35	0.12			0.45	0.55
L–N sequencing	0.67	0.45					0.35	0.12			0.57	0.43
Coding	0.43	0.19							0.57	0.33	0.51	0.49
Symbol search	0.48	0.23							0.57	0.33	0.56	0.44
Total factor pattern coefficients2	37.2		2.0		0.1		0.5		1.3
Total uniqueness												4.6
ωh	0.81
ωs			0.29		0.02		0.17		0.43
ECV	0.70		0.13		0.00		0.05		0.12
Cronbach’s alpha	0.87		0.85		0.74		0.67		0.69

λ, factor loading; Var, percentage of variance explained; VC, Verbal Comprehension; PR, Perceptual Reasoning; WM, Working Memory; PS, Processing Speed; L–N, Letter-Number; h², communality; u², uniqueness; ECV, Explained Common Variance; ω_h, omega hierarchical; ω_s, omega-subscale.