TI DA NI=8 NO=160 MA=CM LA ld sd zcfz ldzczz zzczz zcbc xsml xsjl CM FI='C:\test.cov' SY MO NX=8 NK=3 TD=SY LK yl yy cz FR LX(1,3) LX(2,3) LX(3,3) LX(4,2) LX(5,2) LX(6,1) LX(7,1) LX(8,1) PD OU IT=50000 AD=OFF TI Number of Input Variables 8 Number of Y - Variables 0 Number of X - Variables 8 Number of ETA - Variables 0 Number of KSI - Variables 3 Number of Observations 160 W_A_R_N_I_N_G: Matrix to be analyzed is not positive definite, ridge option taken with ridge constant = 0.001 TI Covariance Matrix ld sd zcfz ldzczz zzczz zcbc -------- -------- -------- -------- -------- -------- ld 1.00 sd 1.00 1.00 zcfz -0.73 -0.73 1.00 ldzczz -0.58 -0.58 0.97 1.00 zzczz -0.29 -0.29 0.42 0.36 1.00 zcbc 0.86 0.86 -0.55 -0.43 0.17 1.00 xsml 0.33 0.33 -0.60 -0.57 -0.58 0.01 xsjl 0.35 0.35 -0.53 -0.47 -0.84 -0.09 Covariance Matrix xsml xsjl -------- -------- xsml 1.00 xsjl 0.77 1.00 TI Parameter Specifications LAMBDA-X yl yy cz -------- -------- -------- ld 0 0 1 sd 0 0 2 zcfz 0 0 3 ldzczz 0 4 0 zzczz 0 5 0 zcbc 6 0 0 xsml 7 0 0 xsjl 8 0 0  HI yl yy cz -------- -------- -------- yl 0 yy 9 0 cz 10 11 0 THETA-DELTA ld sd zcfz ldzczz zzczz zcbc -------- -------- -------- -------- -------- -------- 12 13 14 15 16 17 THETA-DELTA xsml xsjl -------- -------- 18 19 TI W_A_R_N_I_N_G: The solution has not converged after**** iterations. The following solution is preliminary and is provided only for the purpose of tracing the source of the problem. Setting IT>*** may solve the problem. LISREL Estimates(Intermediate Solution) LAMBDA-X yl yy cz -------- -------- -------- ld - - - - 1.01 sd - - - - 1.01 zcfz - - - - -0.74 ldzczz - - 0.28 - - zzczz - - 1.27 - - zcbc 0.21 - - - - xsml 0.01 - - - - xsjl 0.04 - - - -  HI yl yy cz -------- -------- -------- yl 1.00 yy 0.29 1.00 cz 4.45 -0.16 1.00 THETA-DELTA ld sd zcfz ldzczz zzczz zcbc -------- -------- -------- -------- -------- -------- 0.00 0.00 0.46 0.92 -0.61 0.96 THETA-DELTA xsml xsjl -------- -------- 1.00 1.00 LX was written to file C:\DUMP PH was written to file C:\DUMP TD was written to file C:\DUMP Goodness of Fit Statistics Degrees of Freedom = 17 Minimum Fit Function Chi-Square = 1064.47 (P = 0.0) Normal Theory Weighted Least Squares Chi-Square = 516.77 (P = 0.0) Estimated Non-centrality Parameter (NCP) = 499.77 90 Percent Confidence Interval for NCP = (429.27 ; 577.69) Minimum Fit Function Value = http://bbs.pinggu.org/6.69 Population Discrepancy Function Value (F0) = 3.14 90 Percent Confidence Interval for F0 = (2.70 ; 3.63) Root Mean Square Error of Approximation (RMSEA) = 0.43 90 Percent Confidence Interval for RMSEA = (0.40 ; 0.46)  -Value for Test of Close Fit (RMSEA < 0.05) = 0.00 Expected Cross-Validation Index (ECVI) = 3.49 90 Percent Confidence Interval for ECVI = (3.05 ; 3.98) ECVI for Saturated Model = 0.45 ECVI for Independence Model = 9.53 Chi-Square for Independence Model with 28 Degrees of Freedom = 1498.67 Independence AIC = 1514.67 Model AIC = 554.77 Saturated AIC = 72.00 Independence CAIC = 1547.27 Model CAIC = 632.20 Saturated CAIC = 218.71 Normed Fit Index (NFI) = 0.29 Non-Normed Fit Index (NNFI) = -0.17  arsimony Normed Fit Index (PNFI) = 0.18 Comparative Fit Index (CFI) = 0.29 Incremental Fit Index (IFI) = 0.29 Relative Fit Index (RFI) = -0.17 Critical N (CN) = 5.99 Root Mean Square Residual (RMR) = 0.36 Standardized RMR = 0.36 Goodness of Fit Index (GFI) = 0.55 Adjusted Goodness of Fit Index (AGFI) = 0.050  arsimony Goodness of Fit Index (PGFI) = 0.26 Modification Indices cannot be Computed Because Iterations have not Converged Time used: 41.688 Seconds |