Table 4.

Comparison of seven competing Pittsburgh sleep quality index (PSQI) models for the validation set.

Model	Factor/item	χ2/df	P	RMSE A90%CI	NFI	RFI	IFI	TLI	CFI	Factor loadings average (min, max)	Correlationwith PSQI	Cronbach’s α coefficient
A	1/7	2.12	0.016	0.05(0.02–0.08)	0.92	0.85	0.96	0.91	0.95	0.37(0.03,0.60)	1.000	0.675
B	2/7	4.87	<0.001	0.09(0.07–0.11)	0.79	0.65	0.83	0.69	0.83	0.42(0.23,0.73)	1.000	0.675
C	1/5	1.59	0.157	0.03(0.00–0.08)	0.96	0.93	0.99	0.97	0.99	0.51(0.43,0.60)	0.945	0.778
D	3/6	3.18	<0.001	0.06(0.03–0.09)	0.87	0.88	0.90	0.93	0.90	0.46(0.22, 0.61)	0.958	0.724
E	1/6	2.11	0.032	0.04(0.00–0.05)	0.93	0.87	0.96	0.93	0.96	0.41(0.02,0.61)	0.958	0.724
F	3/7	4.36	<0.001	0.08(0.07–0.10)	0.87	0.81	0.90	0.85	0.90	0.42(0.07, 0.63)	1.000	0.675
G	2/6	5.53	<0.001	0.08(0.06–0.11)	0.72	0.76	0.76	0.82	0.762	0.47(0.12, 0.64)	0.958	0.724

RMSEA, root mean square error of approximation; NFI, normed fit index; RFI, relative fit index; IFI, incremental fit index; TLI, Tucker-Lewis index; CFI, comparative fit index; CI, confidence interval.

Model A: one factor with components 1–7.

Model B: factor 1 (with component 1, 2, 3, 4, 5); factor 2 (with component 6, 7).

Model C: one factor with component 1–5.

Model D: factor 1 (with component 1, 2); factor 2 (with component 3, 4); factor 3 (with component 5, 7).

Model E: factor 1 (with component 1, 2, 3, 4, 5, 7).

Model F: factor 1 (with component 1, 2); factor 2 (with component 3, 4); factor 3 (with component 5, 6, 7).

Model G: factor 1 (with component 1, 2, 3, 4); factor 2 (with component 5,7)

The bold content emphasizes the final accepted model C in multiple CFA.