Degrees of Freedom = 303
Minimum Fit Function Chi-Square = 696.70 (P = 0.0)
Normal Theory Weighted Least Squares Chi-Square = 568.31 (P = 0.0)
Estimated Non-centrality Parameter (NCP) = 265.31
90 Percent Confidence Interval for NCP = (202.02 ; 336.41)
Minimum Fit Function Value = 4.55
Population Discrepancy Function Value (F0) = 1.73
90 Percent Confidence Interval for F0 = (1.32 ; 2.20)
Root Mean Square Error of Approximation (RMSEA) = 0.076
90 Percent Confidence Interval for RMSEA = (0.066 ; 0.085)
P-Value for Test of Close Fit (RMSEA < 0.05) = 0.00
Expected Cross-Validation Index (ECVI) = 4.69
90 Percent Confidence Interval for ECVI = (4.28 ; 5.16)
ECVI for Saturated Model = 4.94
ECVI for Independence Model = 20.23
Chi-Square for Independence Model with 351 Degrees of Freedom = 3041.13
Independence AIC = 3095.13
Model AIC = 718.31
Saturated AIC = 756.00
Independence CAIC = 3204.13
Model CAIC = 1021.08
Saturated CAIC = 2281.97
Normed Fit Index (NFI) = 0.77
Non-Normed Fit Index (NNFI) = 0.83
Parsimony Normed Fit Index (PNFI) = 0.67
Comparative Fit Index (CFI) = 0.85
Incremental Fit Index (IFI) = 0.86
Relative Fit Index (RFI) = 0.73
Critical N (CN) = 80.76
Root Mean Square Residual (RMR) = 0.073
Standardized RMR = 0.081
Goodness of Fit Index (GFI) = 0.78
Adjusted Goodness of Fit Index (AGFI) = 0.73
Parsimony Goodness of Fit Index (PGFI) = 0.63
进行模型修饰 还是无法达到要求,如何是好,求教高手指点尽快指点?