. Author manuscript; available in PMC: 2024 Nov 14.

Published in final edited form as: Psychol Assess. 2019 Aug 5;31(11):1340–1356. doi: 10.1037/pas0000756

Table 3.

Fit Indices for WLSMV-Estimated EFA Models (n = 300)

Model name	CFI	TLI	RMSEA	90% RMSEA	SRMR	Factor correlations^a

1-factor	.864	.853	.133	.128–.138	.138
2-factor	.915	.901	.110	.104–.115	.092	R_1,2 = .517
3-factor	.964	.955	.074	.068–.080	.046	R₁ _× ₂ = .432, R₁ _× ₃ = .144, R₂ _× ₃ = .559
4-factor	.973	.963	.067	.060–.073	.040	R_{1 × 2} = .504, R_{1 × 3} = .344, R_{1 × 4} = .287, R_{2 × 3} = .560, R_{2 × 4} = .309, R_{3 × 4} = .143
5-factor	.984	.975	.055	.047–.062	.033	R_{1 × 2} = .593, R_{1 × 3} = .317, R_{1 × 4} = −.003,
						R_{1 × 5} = .214, R_{2 × 3} = .539, R_{2 × 4} = .066, R_{2 × 5} = .221, R_{3 × 4} = −.127, R_{3 × 5} = .133, R_{4 × 5} = .008

Note. CFI = comparative fit index; TLI = Tucker-Lewis Index; RMSEA = root mean square error of approximation; SRMR = root-mean-square residual. Boldface indicates the model that was accepted as the final EFA model. See Table 4 for denoted factors.