这是验证性因素分析的结果，请问这个拟合度怎么，可以采用吗         

             Goodness of Fit Statistics

Degrees of Freedom = 940

Minimum Fit Function Chi-Square = 3806.59 (P = 0.0)

Normal Theory Weighted Least Squares Chi-Square = 4999.60 (P = 0.0)

Estimated Non-centrality Parameter (NCP) = 4059.60

90 Percent Confidence Interval for NCP = (3841.78 ; 4284.77)

Minimum Fit Function Value = 10.40

Population Discrepancy Function Value (F0) = 11.09

90 Percent Confidence Interval for F0 = (10.50 ; 11.71)

Root Mean Square Error of Approximation (RMSEA) = 0.11

90 Percent Confidence Interval for RMSEA = (0.11 ; 0.11)

P-Value for Test of Close Fit (RMSEA < 0.05) = 0.00

Expected Cross-Validation Index (ECVI) = 14.18

90 Percent Confidence Interval for ECVI = (13.58 ; 14.79)

ECVI for Saturated Model = 5.66

ECVI for Independence Model = 78.18

Chi-Square for Independence Model with 990 Degrees of Freedom = 28524.84

Independence AIC = 28614.84

Model AIC = 5189.60

Saturated AIC = 2070.00

Independence CAIC = 28835.58

Model CAIC = 5655.61

Saturated CAIC = 7147.05

Normed Fit Index (NFI) = 0.87

Non-Normed Fit Index (NNFI) = 0.89

Parsimony Normed Fit Index (PNFI) = 0.82

Comparative Fit Index (CFI) = 0.90

Incremental Fit Index (IFI) = 0.90

Relative Fit Index (RFI) = 0.86

Critical N (CN) = 101.36

Root Mean Square Residual (RMR) = 0.34

Standardized RMR = 0.12

Goodness of Fit Index (GFI) = 0.62

Adjusted Goodness of Fit Index (AGFI) = 0.58

Parsimony Goodness of Fit Index (PGFI) = 0.57

Time used:
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