Degrees of Freedom = 108
Minimum Fit Function Chi-Square = 527.16 (P = 0.0)
Normal Theory Weighted Least Squares Chi-Square = 523.71 (P = 0.0)
Estimated Non-centrality Parameter (NCP) = 415.71
90 Percent Confidence Interval for NCP = (348.14 ; 490.81)
Minimum Fit Function Value = http://bbs.pinggu.org/0.78
Population Discrepancy Function Value (F0) = 0.62
90 Percent Confidence Interval for F0 = (0.52 ; 0.73)
Root Mean Square Error of Approximation (RMSEA) = 0.076
90 Percent Confidence Interval for RMSEA = (0.069 ; 0.082)
P-Value for Test of Close Fit (RMSEA < 0.05) = 0.00
Expected Cross-Validation Index (ECVI) = 0.91
90 Percent Confidence Interval for ECVI = (0.81 ; 1.02)
ECVI for Saturated Model = 0.45
ECVI for Independence Model = 14.00
Chi-Square for Independence Model with 136 Degrees of Freedom = 9419.17
Independence AIC = 9453.17
Model AIC = 613.71
Saturated AIC = 306.00
Independence CAIC = 9546.95
Model CAIC = 861.94
Saturated CAIC = 1149.98
Normed Fit Index (NFI) = 0.94
Non-Normed Fit Index (NNFI) = 0.94
Parsimony Normed Fit Index (PNFI) = 0.75
Comparative Fit Index (CFI) = 0.95
Incremental Fit Index (IFI) = 0.95
Relative Fit Index (RFI) = 0.93
Critical N (CN) = 186.79
Root Mean Square Residual (RMR) = 0.031
Standardized RMR = 0.050
Goodness of Fit Index (GFI) = 0.92
Adjusted Goodness of Fit Index (AGFI) = 0.88
Parsimony Goodness of Fit Index (PGFI) = 0.65 |
