-------------------------------------------------------------------------------- name: log: H:\GIT\semexample\Stata\Ex-05-SEM\sem-02-output.txt log type: text opened on: 15 Jan 2016, 12:16:07 r; t=0.02 12:16:07 . . use "..\..\data\insomnia.dta", clear (Written by R. ) r; t=0.02 12:16:07 . . sem (Impact -> insom5 insom6 insom7)(Severity -> insom1 insom2 insom3) /// > (Satisf -> insom4 insom1 insom7)(QoL -> phy psy soc env) /// > (QoL <- Impact Severity Satisf), method(mlmv) Endogenous variables Measurement: insom5 insom6 insom7 insom1 insom2 insom3 insom4 phy psy soc env Latent: QoL Exogenous variables Latent: Impact Severity Satisf Fitting saturated model: Iteration 0: log likelihood = -1024.1518 Iteration 1: log likelihood = -1023.2182 Iteration 2: log likelihood = -1023.2102 Iteration 3: log likelihood = -1023.2102 Fitting baseline model: Iteration 0: log likelihood = -1324.3494 Iteration 1: log likelihood = -1324.3461 Iteration 2: log likelihood = -1324.3461 Fitting target model: Iteration 0: log likelihood = -1097.5188 (not concave) Iteration 1: log likelihood = -1068.3991 Iteration 2: log likelihood = -1062.0428 (not concave) Iteration 3: log likelihood = -1057.2222 (not concave) Iteration 4: log likelihood = -1055.926 (not concave) Iteration 5: log likelihood = -1055.044 (not concave) Iteration 6: log likelihood = -1054.0765 (not concave) Iteration 7: log likelihood = -1051.8503 Iteration 8: log likelihood = -1050.6502 Iteration 9: log likelihood = -1046.9443 Iteration 10: log likelihood = -1046.2749 Iteration 11: log likelihood = -1045.5308 Iteration 12: log likelihood = -1045.188 Iteration 13: log likelihood = -1045.1161 Iteration 14: log likelihood = -1045.0129 (not concave) Iteration 15: log likelihood = -1045.0099 Iteration 16: log likelihood = -1044.9874 Iteration 17: log likelihood = -1044.9629 Iteration 18: log likelihood = -1044.9534 (not concave) Iteration 19: log likelihood = -1044.9525 Iteration 20: log likelihood = -1044.9518 Iteration 21: log likelihood = -1044.9506 Iteration 22: log likelihood = -1044.9505 Structural equation model Number of obs = 103 Estimation method = mlmv Log likelihood = -1044.9505 ( 1) [phy]QoL = 1 ( 2) [insom5]Impact = 1 ( 3) [insom7]Satisf = 1 ( 4) [insom1]Severity = 1 ------------------------------------------------------------------------------ | OIM | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- Structural | QoL <- | Impact | -.0408677 .0650096 -0.63 0.530 -.1682842 .0865488 Severity | -.1892012 .5948172 -0.32 0.750 -1.355022 .9766191 Satisf | -.3774285 .2015834 -1.87 0.061 -.7725248 .0176678 -------------+---------------------------------------------------------------- Measurement | insom5 <- | Impact | 1 (constrained) _cons | 1.621359 .1116433 14.52 0.000 1.402542 1.840176 -----------+---------------------------------------------------------------- insom6 <- | Impact | .6495356 .1096643 5.92 0.000 .4345975 .8644737 _cons | .9514563 .100314 9.48 0.000 .7548445 1.148068 -----------+---------------------------------------------------------------- insom7 <- | Impact | .3169562 .1184586 2.68 0.007 .0847816 .5491307 Satisf | 1 (constrained) _cons | 1.184466 .1025158 11.55 0.000 .9835388 1.385393 -----------+---------------------------------------------------------------- insom1 <- | Severity | 1 (constrained) Satisf | .9435897 .2697498 3.50 0.000 .4148898 1.47229 _cons | .7184466 .0817121 8.79 0.000 .5582937 .8785995 -----------+---------------------------------------------------------------- insom2 <- | Severity | 6.965416 6.220116 1.12 0.263 -5.225788 19.15662 _cons | .6699029 .0904395 7.41 0.000 .4926448 .847161 -----------+---------------------------------------------------------------- insom3 <- | Severity | 5.561428 5.032294 1.11 0.269 -4.301686 15.42454 _cons | .7378641 .091035 8.11 0.000 .5594388 .9162894 -----------+---------------------------------------------------------------- insom4 <- | Satisf | 1.24849 .2920349 4.28 0.000 .6761118 1.820867 _cons | 1.737864 .0867954 20.02 0.000 1.567748 1.90798 -----------+---------------------------------------------------------------- phy <- | QoL | 1 (constrained) _cons | 3.658641 .0502676 72.78 0.000 3.560118 3.757164 -----------+---------------------------------------------------------------- psy <- | QoL | 1.176277 .1153611 10.20 0.000 .9501734 1.402381 _cons | 3.412683 .0600692 56.81 0.000 3.29495 3.530416 -----------+---------------------------------------------------------------- soc <- | QoL | .8030823 .1184902 6.78 0.000 .5708457 1.035319 _cons | 3.523095 .054336 64.84 0.000 3.416598 3.629591 -----------+---------------------------------------------------------------- env <- | QoL | .9417439 .1012541 9.30 0.000 .7432896 1.140198 _cons | 3.519709 .0504611 69.75 0.000 3.420807 3.618611 -------------+---------------------------------------------------------------- var(e.insom5)| .1745017 .1460654 .0338304 .9001026 var(e.insom6)| .5684628 .1001492 .4024772 .8029026 var(e.insom7)| .3943414 .0705365 .277726 .5599228 var(e.insom1)| .2948762 .0537511 .2062907 .4215022 var(e.insom2)| .1359344 .0951696 .034466 .5361268 var(e.insom3)| .4031858 .0818763 .2708001 .6002907 var(e.insom4)| .2667816 .0630742 .1678453 .4240357 var(e.phy)| .0675523 .0152046 .0434563 .1050093 var(e.psy)| .1035958 .0214502 .0690392 .1554493 var(e.soc)| .1779024 .0275011 .1314009 .2408603 var(e.env)| .0913582 .0170114 .0634234 .131597 var(e.QoL)| .1243203 .0258773 .0826731 .1869476 var(Impact)| 1.109314 .2283773 .7409953 1.660709 var(Severity)| .0145626 .0260741 .0004357 .4867432 var(Satisf)| .3266535 .1426055 .1388297 .7685853 -------------+---------------------------------------------------------------- cov(Impact,| Severity)| .0452272 .0435301 1.04 0.299 -.0400903 .1305446 cov(Impact,| Satisf)| .3944383 .1191706 3.31 0.001 .1608682 .6280083 cov(Sever~y,| Satisf)| .0463335 .0418431 1.11 0.268 -.0356775 .1283445 ------------------------------------------------------------------------------ LR test of model vs. saturated: chi2(36) = 43.48, Prob > chi2 = 0.1829 r; t=2.26 12:16:10 . * This matches Mplus if there method(mlmv) command is at the end. This handle > s the missing values. . . ***CLOSE LOG FILE*** . capture log close