Table 2.

Goodness-of-Fit Indices for Executive Function, Speed, and Memory Confirmatory Factor Analysis Models and Measurement Invariance Testing

Model	AIC	BIC	χ2	df	p	RMSEA	CFI	SRMR	ΔCFI
One-factor EF
Configural invariance	45,246.58	45,747.15	410.84	219	<.001	.03 (.03 - .04)	.97	.04	--
Metric invariance	45,287.90	45,721.73	480.16	233	<.001	.04 (.03 - .04)	.97	.05	0
Scalar invariance	46,155.68	46,518.00	1,377.94	248	<.001	.07 (.07 - .08)	.84	.09	.13
Partial scalar invarianceac	45,305.07	45,681.69	521.332	245	<.001	.04 (.03 - .04)	.96	.05	.01
One-factor speed
Configural invariance	59,510.81	60,054.29	1,086.82	210	<.001	.07 (.06 - .07)	.92	.09	--
Metric invariance	59,526.91	60,003.65	1,130.93	224	<.001	.07 (.06 - .07)	.92	.09	0
Scalar invariancec	59,556.10	59,966.10	1,188.12	238	<.001	.07 (.06 - .07)	.91	.10	.01
One-factor memory
Configural invariance	32,089.27	32,332.40	67.08	39	.003	.03 (.02 - .04)	.99	.03	--
Metric invariance	32,112.17	32,326.70	101.98	45	<.001	.04 (.03 - .05)	.98	.07	.01
Scalar invariance	32,156.20	32,342.12	158.01	51	<.001	.05 (.04 - .06)	.96	.07	.02
Partial scalar invariancec	32,129.23	32,324.69	127.04	49	<.001	.04 (.03 - .05)	.98	.07	0

Note. EF = executive function; AIC = Akaike information criterion; BIC = Bayesian information criterion; χ² = chi-square test of model fit; df = degrees of freedom for model fit; RMSEA = root mean square error of approximation; RMSEA is shown with 90% confidence intervals; CFI = comparative fit index; SRMR = standardized root mean square residual; ΔCFI = change in CFI.

^aBrixton free to vary.

^bRey B1 free to vary.

^cBest fitting model.