Bifactor model of the CASP-12’s general factor for measuring quality of life in older patients

Journal of Patient-Reported Outcomes

Table 2 Summary Item-Factor Loadings and Comparative Global Model-Fit Indices

	1-Dim	2-Dim		BiFactor ✓			BiFactor_Rand-Intcpt
Item		Fac1_C/A	Fac2_SR/P	Tot	Fac1_C/A	Fac2_SR/P	Tot	Fac1_C/A	Fac2_SR/P
1	0.56	0.66	–	0.62	0.27	–	0.5	0.33	–
2	0.53	0.75	–	0.52	0.56	–	0.43	0.63	–
3	0.60	0.81	–	0.54	0.60	–	0.45	0.55	–
4_(r)	0.57	–	0.56	0.52	–	.23	0.49	−0.01	–
5	0.20	0.35	–	0.12	0.44	–	−0.03	0.31	–
6	−.42	0.46	–	0.37	0.27	–	0.23	0.16	–
7_(r)	0.73	–	0.75	0.43	–	0.66	0.48	–	0.57
8_(r)	0.81	–	0.82	0.50	–	0.71	0.56	–	0.61
9_(r)	0.60	–	0.62	0.35	–	0.56	0.36	–	0.48
10_(r)	0.77	–	0.77	0.73	–	0.31	0.75	–	0.16
11_(r)	0.82	–	0.84	0.69	–	0.45	0.72	–	0.3
12_(r)	0.84	–	0.85	0.69	–	0.47	0.72	–	0.32
Global Fit
-2lnL	1,601,460.18	1,586,703.35			1,574,683.58		1,576,024.19
Df	582	581			570		569
AIC	1,601,556.18	1,586,801.35			1,574,803.58		1,576,146.18
BIC	1,601,991.13	1,587,245.36			1,575,347.27		1,576,698.93
RMSEA .05		.05			.04		.04

Note. N = 63,669. -2lnL -2 log likelihood, AIC Akaike information criterion, BIC Bayesian information criterion. 1-Dim unidimensional model, 2-DIM two-dimensional model, BiFact Bifactor Models, Gen general factor, Fac1, Fac2 = subscale factors. (r) indicates reverse-scored item. One indicates random intercept. All standard errors were < .01