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. 2014 Jan 6;2014:905950. doi: 10.1155/2014/905950

Table 4.

Summary of fit indices of three-hypothesized models of LEE scale (N = 262).

Model χ 2 df χ 2/df P value GFI AGFI TLI RMSEA (90% CI) SRMR WRMR
Model 1
 Uncorrelated factors 98.34 50 1.97 0.80 0.97 0.96 1.00 0.040 (0.036–0.044) 0.039 0.85
 Correlated factorsa 92.58 48 1.93 0.75 0.99 0.98 1.02 0.031 (0.027–0.035) 0.028 0.78
Model 2
 Uncorrelated factors 102.33 50 2.05 0.54 0.88 0.87 0.89 0.052 (0.044–0.060) 0.050 0.92
 Correlated factors 97.02 48 2.02 0.58 0.89 0.90 0.95 0.050 (0.042–0.058) 0.054 0.89
Model 3
 Uncorrelated factors 134.21 50 2.68 0.20 0.86 0.85 0.89 0.071 (0.061–0.081) 0.071 0.99
Correlated factors 125.88 48 2.60 0.25 0.89 0.88 0.91 0.067 (0.055–0.076) 0.060 0.94

Model 1: four-factor model identified by Li and Arthur [12] and in this research, Model 2: two-factor model suggested by Startup in 1999 [10], and Model 3: three-factor model suggested by Kim and Miklowitz in 2004 [32].

aModel fit indices tested with paths (correlations) set-up between the hypothesized factors in each model.

χ 2: Chi-squared goodness of fit; df: degree of freedom; P value (a good fit if P≧0.1); GFI: goodness-of-fit index (ranging from 0 to 1, a good fit if GFI≧0.9); AGFI: adjusted goodness of fit index (similar to GFI, a good fit if AGFI≧0.9); TLI: Tucker-Lewis index (0.90–0.95 acceptable, a good fit if TLI > 0.95); RMSEA: root mean square error of approximation (a good fit if RMSEA≦0.05); SRMR: standardized root mean square residual, (a good fit if SRMR < 0.05); WRMR: weighted root mean residual (a good fit if WRMR < 0.90).