Table 7.

Goodness-of-fit Statistics of Different Models Fitted to the Emotion Data by Mplus

	AIC	BIC	RMSEA	CFI	TLI	SRMR
5-factor with diagonal Ψ	11504.630	11802.120	0.103	0.797	0.775	0.074
6-factor with diagonal Ψ	11440.847	11754.161	0.098	0.819	0.796	0.090
5-factor with 29 residual covariances	10907.638	11292.615	0.054	0.925	0.909	0.065

Note: AIC: Akaike Information Criterion; BIC: Bayesian Information Criterion; RMSEA: Root Mean Square Error of Approximation; CFI: Comparative Fit Index; TLI: Tucker Lewis Index; SRMR: Standardized Root Mean Square Residual.

For both TLI and CFI, 0.9 represents adequate fit and 0.95 good fit. RMSEA < 0.05 indicates good fit, between 0.05 and 0.08 acceptable fit. SRMR < 0.08 considered adequate. For AIC and BIC, smaller value indicates better fit.