Table 1.

CFA

Model	AIC	BIC	χ2	RMSEA	CFI	TLI	SRMR	r
A. 1 factor	39,450.91	39,595.71	92.47**	0.04	0.98	0.98	0.02	—
B. 2 factors, r = 0	40,235.14	40,379.94	876.70**	0.16	0.71	0.63	0.24	0.00
C. 2 factors, r = 0	40,342.06	40,486.86	983.62**	0.17	0.68	0.59	0.25	0.00
D. 2 factors	39,452.17	39,601.80	91.73**	0.04	0.98	0.97	0.02	0.99

Fit statistics for a one-factor model (model A) and three two-factor models. (Model B) The 10 spatial tests were assigned randomly to the two factors (five tests in each), and the correlation between the factors (r) was constrained to zero to force orthogonality. (Model C) The five highest loading tests in the one-factor model were assigned to one factor and the lowest five to the other; r was constrained to zero. (Model D) Like model C, but the factors were allowed to correlate. AIC, Akaike information criterion; BIC, Bayesian information criterion; CFI, Comparative Fit Index; r, Pearson’s correlation between factors; RMSEA, root mean square error of approximation; SRMR, standardized root mean square residual; TLI, Tucker–Lewis Index.

^**P < 0.01.