. Author manuscript; available in PMC: 2023 Oct 1.

Published in final edited form as: Assessment. 2023 Jan 12;30(7):2276–2295. doi: 10.1177/10731911221143343

Table 5.

Measurement Invariance Models

	Non-Clinical/Clinical		Female/Male		Black/White

Configural Model	Five-factor	Six-factor	Five-factor	Six-factor	Five-factor	Six-factor
χ²	8953.29	7018.62	8302.7	6647.74	7116.98	5739.86
RMSEA	.07	.07	.07	.07	.07	.07
SRMR	.03	.02	.03	.02	.03	.02
CFI	.90	.92	.90	.92	.90	.92
TLI	.86	.88	.86	.88	.86	.88
BIC	904123.55	902254.64	897158.42	895356.69	719799.96	718421.07
AIC	901343.02	899121.83	89438.78	892227.13	717121.06	715402.76

Metric Model	Five-factor	Six-factor	Five-factor	Six-factor	Five-factor	Six-factor

χ²	9204.12	7232.56	8637.98	6897.05	7187.85	5689.11
RMSEA	.07	.06	.07	.06	.07	.06
SRMR	.04	.03	.04	.03	.04	.03
CFI	.90	.92	.90	.92	.90	.92
TLI	.88	.90	.88	.90	.88	.91
BIC	903585.50	901502.38	896578.00	894649.30	719072.02	717477.90
AIC	901685.68	899388.67	89468.16	892537.79	717241.64	715441.45
CFI Δ	.001	.001	.003	.001	.001	.003

Note. RMSEA = Root Mean Square Error of Approximation, CFI = Comparative Fit Index, TLI = Tucker–Lewis index; SRMR = Standardized Root Mean Squared Residual, BIC = Bayesian Information Criterion; AIC = Akaike information criterion; CFI Δ = absolute value for the difference between nested configural and metric model CFIs. CFI Δ < .01 was considered evidence for measurement invariance.