Table 3.

Fit of the one-factor model (CFA) to the four ADNI neuroimaging variables

Satorra-Bentler 2 (df, p)	Fit Criteria		SRMR	RMSEA (90% CI)
	AIC	CFI
31.23 (6, p<0.001)	27.23 (independence=149.1)	.812	.116	.328 (.232, .432)

Fit criteria: Satorra-Bentler χ²: general robust model fit statistic, with the associated p-value for the degrees of freedom shown. Non-significant p-value suggests ‘good’ fit of model to data. AIC: robust Akaike’s Information Criterion; the lower, the better. CFI: Robust Comparative fit index; the closer to 1.0 the better, acceptable models have CFI≥.95. SRMR: standardized root mean square residuals, the smaller (and <0.09) the better. RMSEA: Robust root mean square error of approximation; the closer to zero (and positive) the better, acceptable upper bound on the 90% CI <0.06.