Measuring subjective well-being from a multidimensional and temporal perspective: Italian adaptation of the I COPPE scale

Table 2 Model Comparisons between the 7-factor correlated-traits model and alternative models

Model/Indices	A 7 Factors	B 2nd Order	C Multi-Trait Multi-Method^b	D Bi-Factor^c	E One Factor
MLR χ²	155.413	255.003	344.343	149.167	345.788
χ² df	118	132	146	108	121
χ² p	.011	<.001	<.001	.0054	<.001
CFI	.997	.991	.986	.997	.984
TLI	.995	.986	.979	.994	.972
RMSEA (90% CI)	.013 (.006 .018)	.022 (.018 .026)	.026 (.023 .030)	.014 (.008 .019)	.031 (.027 .035)
SRMR	.024	.032	.025	.022	.028
Akaike (AIC)	147,929.900	148,049.431	147,888.189	147,938.931	148,205.576
Bayesian (BIC)	148,678.395	148,719.725	148,480.121	148,743.285	148,937.314
Model Comparison	/	B Versus A	C Versus A	A Versus D	E Versus D
∆MLR χ^2a	/	95.685	179.258	6.882	175.441
∆df	/	14	28	10	13
∆p	/	<.001	<.001	.737	<.001

^aCorrected Values; ^bOV_WB_PR, CO_WB_PR, PS_WB_PR loading on only their method factor; ^cOV_WB factor loading on only the general factor

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