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

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

  1-Dim 2-Dim BiFactor BiFactorRand-Intcpt
Item   Fac1C/A Fac2SR/P Tot Fac1C/A Fac2SR/P Tot Fac1C/A Fac2SR/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
  1. 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