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freeshuju发表于 2011-12-25 20:35 | 只看该作者

lisrel 为什么画图生成语句后，再运行验证性因子分析时说模型不拟合啊？

本帖最后由 ytstyan 于 2011-12-25 19:36 编辑 每次运行那个e小人跑步的L时，都说the model does not converge………… 有截图……是因为数据不对么…… 老师给的课题，我设置了13个观察指标与4个潜变量。自己模拟了60组数据 是不是因为某个潜变量的观察指标对应的太多了？ 或者自己的数据太少了，或者不准确？？？ PHI is not positive definite!!!!!!!这个错误是为啥啊！！！！！！ W_A_R_N_I_N_G: PHI is not positive definite
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abroad发表于 2011-12-25 20:40 | 只看该作者
TI Parameter Specifications LAMBDA-X 1 2 3 4 -------- -------- -------- -------- FDSNA 1 0 0 0 FDSAS 2 0 0 0 FDSWD 3 0 0 0 FGSAS 4 0 0 0 FFSNA 5 0 0 0 FFSAS 6 0 0 0 FFSWD 7 0 0 0 FISNA 8 0 0 0 CBSWD 0 9 0 0 CCSNA 0 10 0 0 CMSAS 0 11 0 0 FIDSNA 0 0 12 0 FTDSTOLS 0 0 13 0 FEDSNA 0 0 14 0 FRDSMOD 0 0 15 0 LDSFIV 0 0 0 16 LMSNA 0 0 0 17 LMSAS 0 0 0 18 LMSWD 0 0 0 19 LTSNA 0 0 0 20 LTSAS 0 0 0 21 LTSWD 0 0 0 22 LRSNA 0 0 0 23 LRSAS 0 0 0 24 LRSWD 0 0 0 25 PHI 1 2 3 4 -------- -------- -------- -------- 1 0 2 26 0 3 27 28 0 4 29 30 31 0 THETA-DELTA FDSNA FDSAS FDSWD FGSAS FFSNA FFSAS -------- -------- -------- -------- -------- -------- 32 33 34 35 36 37 THETA-DELTA FFSWD FISNA CBSWD CCSNA CMSAS FIDSNA -------- -------- -------- -------- -------- -------- 38 39 40 41 42 43 THETA-DELTA FTDSTOLS FEDSNA FRDSMOD LDSFIV LMSNA LMSAS -------- -------- -------- -------- -------- -------- 44 45 46 47 48 49 THETA-DELTA LMSWD LTSNA LTSAS LTSWD LRSNA LRSAS -------- -------- -------- -------- -------- -------- 50 51 52 53 54 55 THETA-DELTA LRSWD -------- 56 W_A_R_N_I_N_G: PHI is not positive definite W_A_R_N_I_N_G: THETA-DELTA is not positive definite TI W_A_R_N_I_N_G: The solution was found non-admissible after 50 iterations. The following solution is preliminary and is provided only for the purpose of tracing the source of the problem. Setting AD> 50 or AD=OFF may solve the problem LISREL Estimates(Intermediate Solution) LAMBDA-X 1 2 3 4 -------- -------- -------- -------- FDSNA 1.81 - - - - - - FDSAS 0.04 - - - - - - FDSWD 0.70 - - - - - - FGSAS 0.14 - - - - - - FFSNA -0.49 - - - - - - FFSAS -0.17 - - - - - - FFSWD -0.29 - - - - - - FISNA -0.23 - - - - - - CBSWD - - 1.85 - - - - CCSNA - - 0.28 - - - - CMSAS - - -0.65 - - - - FIDSNA - - - - -0.58 - - FTDSTOLS - - - - -0.08 - - FEDSNA - - - - -0.13 - - FRDSMOD - - - - -0.53 - - LDSFIV - - - - - - -0.21 LMSNA - - - - - - 0.20 LMSAS - - - - - - 0.23 LMSWD - - - - - - 0.04 LTSNA - - - - - - 0.24 LTSAS - - - - - - 0.40 LTSWD - - - - - - -0.35 LRSNA - - - - - - -0.06 LRSAS - - - - - - -0.07 LRSWD - - - - - - -0.70 PHI 1 2 3 4 -------- -------- -------- -------- 1 1.00 2 -0.16 1.00 3 -0.31 -0.73 1.00 4 -0.30 -0.86 3.23 1.00 W_A_R_N_I_N_G: PHI is not positive definite THETA-DELTA FDSNA FDSAS FDSWD FGSAS FFSNA FFSAS -------- -------- -------- -------- -------- -------- -1.63 1.58 1.69 1.79 2.78 2.22 THETA-DELTA FFSWD FISNA CBSWD CCSNA CMSAS FIDSNA -------- -------- -------- -------- -------- -------- 2.09 1.78 -0.79 2.01 1.94 2.55 THETA-DELTA FTDSTOLS FEDSNA FRDSMOD LDSFIV LMSNA LMSAS -------- -------- -------- -------- -------- -------- 2.46 2.13 2.38 2.45 2.29 1.81 THETA-DELTA LMSWD LTSNA LTSAS LTSWD LRSNA LRSAS -------- -------- -------- -------- -------- -------- 1.96 2.95 2.25 2.54 2.59 2.15 THETA-DELTA LRSWD -------- 1.34 Goodness of Fit Statistics Degrees of Freedom = 269 Minimum Fit Function Chi-Square = 643.57 (P = 0.0) Normal Theory Weighted Least Squares Chi-Square = 303.21 (P = 0.074) Estimated Non-centrality Parameter (NCP) = 34.21 90 Percent Confidence Interval for NCP = (0.0 ; 81.13) 90 Percent Confidence Interval for F0 = (0.0 ; 3.38) Root Mean Square Error of Approximation (RMSEA) = 0.073 90 Percent Confidence Interval for RMSEA = (0.0 ; 0.11) P-Value for Test of Close Fit (RMSEA < 0.05) = 0.23 Expected Cross-Validation Index (ECVI) = 17.30 90 Percent Confidence Interval for ECVI = (15.88 ; 19.26) ECVI for Saturated Model = 27.08 ECVI for Independence Model = 17.83 Chi-Square for Independence Model with 300 Degrees of Freedom = 377.84 Independence AIC = 427.84 Model AIC = 415.21 Saturated AIC = 650.00 Independence CAIC = 483.31 Model CAIC = 539.47 Saturated CAIC = 1371.13 Normed Fit Index (NFI) = -0.70 Non-Normed Fit Index (NNFI) = -4.37 Parsimony Normed Fit Index (PNFI) = -0.63 Comparative Fit Index (CFI) = 0.0 Incremental Fit Index (IFI) = -2.44 Relative Fit Index (RFI) = -0.90 Critical N (CN) = 13.15 Root Mean Square Residual (RMR) = 0.45 Standardized RMR = 0.20 Goodness of Fit Index (GFI) = 0.50 Adjusted Goodness of Fit Index (AGFI) = 0.40 Parsimony Goodness of Fit Index (PGFI) = 0.42 Time used: 0.062 Seconds 这是OUT里写的~

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angel发表于 2011-12-25 20:45 | 只看该作者
W_A_R_N_I_N_G: PHI is not positive definite W_A_R_N_I_N_G: THETA-DELTA is not positive definite TI W_A_R_N_I_N_G: The solution was found non-admissible after 50 iterations. The following solution is preliminary and is provided only for the purpose of tracing the source of the problem. Setting AD> 50 or AD=OFF may solve the problem 有三个警告

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