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
