Table 5.

Fit statistics for confirmatory factor analyses.

Model	Description	df	Robust χ 2	RMSEA (90% CI)	CFI	SRMR	AIC	BIC	SABIC
1	Correlated Categories (No Task Effects)	80	218.17, p < 001	.116 (.098, .134)	.977	.078	298.17	438.38	311.59
2	Model 1 +Errors Across Tasks	50	73.95, p=.02	.050 (.022, .073)	.996	.030	213.95	459.32	237.43
3	Model 2 +Within−task Invariant Loadings on Category Factors	58	89.56, p=.005	.054 (.030, .074)	.995	.069	213.56	430.89	234.35
4	Model 3+Second−order Category Factor	63	92.01, p=.01	.049 (.025, .070)	.995	.048	206.01	405.82	225.22
5	Model 4 + CFMT and VET measures	147	216.34 P <.001	.050 (.035, .064)	.967	.064	384.34	678.79	412.51

Note: Robust χ2 =Satorra−Bentler robust chi−square test of overall fit generated by the Savalei−Bentler robust two−stage estimator. RMSEA = root mean squared error of approximation. CFI = Comparative Fit Index. SRMR = standardized root mean squared residual. AIC = Akaike Information Criterion. BIC = Bayesian Information Criterion. SABIC = Small− sample corrected Bayesian Information Criterion. Lower scores on the RMSEA, SRMR, AIC, BIC, and SABIC and higher scores on the CFI indicate better fit. Hu and Bentler (1998, 1999) recommended the following criteria for adequate fit on the first three measures: CFI ≥ .95, RMSEA ≤ .06, and SRMR ≤ .08. Because Model 5 includes measures not included in Models 1−4, its values for the AIC, BIC, and SABIC are not directly comparable to those of Models 1−4.