Table 4.
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).