请教：警告: TD 5,5 may not be identified.
如题，该问题应该从何处下手去排查？
W_A_R_N_I_N_G: TD 5,5 may not be identified.
Standard Errors, T-Values, Modification Indices,
and Standardized Residuals cannot be computed.
Goodness of Fit Statistics
Degrees of Freedom = 29
Minimum Fit Function Chi-Square = 98.53 (P = 0.00)
Normal Theory Weighted Least Squares Chi-Square = 87.86 (P = 0.00)
Estimated Non-centrality Parameter (NCP) = 58.86
90 Percent Confidence Interval for NCP = (34.41 ; 90.94)
Minimum Fit Function Value = http://bbs.pinggu.org/0.47
Population Discrepancy Function Value (F0) = 0.28
90 Percent Confidence Interval for F0 = (0.16 ; 0.44)
Root Mean Square Error of Approximation (RMSEA) = 0.099
90 Percent Confidence Interval for RMSEA = (0.075 ; 0.12)
 -Value for Test of Close Fit (RMSEA < 0.05) = 0.00054
Expected Cross-Validation Index (ECVI) = 0.77
90 Percent Confidence Interval for ECVI = (0.66 ; 0.93)
ECVI for Saturated Model = 0.63
ECVI for Independence Model = 2.20
Chi-Square for Independence Model with 55 Degrees of Freedom = 437.31
Independence AIC = 459.31
Model AIC = 161.86
Saturated AIC = 132.00
Independence CAIC = 507.12
Model CAIC = 322.71
Saturated CAIC = 418.91
Normed Fit Index (NFI) = 0.77
Non-Normed Fit Index (NNFI) = 0.66
arsimony Normed Fit Index (PNFI) = 0.41
Comparative Fit Index (CFI) = 0.82
Incremental Fit Index (IFI) = 0.83
Relative Fit Index (RFI) = 0.57
Critical N (CN) = 106.19
Root Mean Square Residual (RMR) = 0.076
Standardized RMR = 0.076
Goodness of Fit Index (GFI) = 0.93
Adjusted Goodness of Fit Index (AGFI) = 0.84
arsimony Goodness of Fit Index (PGFI) = 0.41 |
