Goodness of Fit Statistics
Degrees of Freedom = 227--------------------------df
Minimum Fit Function Chi-Square = 428.51 (P = 0.00)
Normal Theory Weighted Least Squares Chi-Square = 429.07 (P = 0.00)
Estimated Non-centrality Parameter (NCP) = 202.07
90 Percent Confidence Interval for NCP = (147.49 ; 264.45)
Minimum Fit Function Value = 1.62
Population Discrepancy Function Value (F0) = 0.77
90 Percent Confidence Interval for F0 = (0.56 ; 1.00)
Root Mean Square Error of Approximation (RMSEA) = 0.058------------------------(RMSEA)
90 Percent Confidence Interval for RMSEA = (0.050 ; 0.066)
P-Value for Test of Close Fit (RMSEA < 0.05) = 0.058
Expected Cross-Validation Index (ECVI) = 2.00
90 Percent Confidence Interval for ECVI = (1.79 ; 2.23)
ECVI for Saturated Model = 2.09
ECVI for Independence Model = 29.57
Chi-Square for Independence Model with 253 Degrees of Freedom = 7760.23
Independence AIC = 7806.23
Model AIC = 527.07
Saturated AIC = 552.00
Independence CAIC = 7911.56
Model CAIC = 751.47
Saturated CAIC = 1816.01
Normed Fit Index (NFI) = 0.94----------------(NFI) 等等的都是
Non-Normed Fit Index (NNFI) = 0.97
Parsimony Normed Fit Index (PNFI) = 0.85
Comparative Fit Index (CFI) = 0.97
Incremental Fit Index (IFI) = 0.97
Relative Fit Index (RFI) = 0.94
Critical N (CN) = 173.19
Root Mean Square Residual (RMR) = 1.13
Standardized RMR = 0.071
Goodness of Fit Index (GFI) = 0.88
Adjusted Goodness of Fit Index (AGFI) = 0.85
Parsimony Goodness of Fit Index (PGFI) = 0.72