. set linesize 80

. set more off

. sem (cumdose1 -> MiPTSD) (cumdose1 -> BSIanx) (BSIanx -> MiPTSD) (cataw1 -> cumdose1) (cataw1 -> MiPTSD) (cataw1 -> BSIanx) if gender==2, nocapslatent

Endogenous variables


Observed:  cumdose1 MiPTSD BSIanx


Exogenous variables


Observed:  cataw1


Fitting target model:

Iteration 0:   log likelihood = -2713.4644
Iteration 1:   log likelihood = -2713.4644

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -2713.4644

--------------+----------------------------------------------------------------
              |                 OIM
              |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
--------------+----------------------------------------------------------------
 Structural    |
   cumdose1 <- |
       cataw1 |    .0456421      .09093      0.50    0.616     -.1325773     .2238616
        _cons |    .3303627    .0305595     10.81    0.000      .2704673     .3902582
  ------------+----------------------------------------------------------------
   MiPTSD <-   |
     cumdose1 |    1.517883    .9659366      1.57    0.116     -.3753183     3.411084
       BSIanx |    1.844948    .1454644     12.68    0.000      1.559843     2.130053
       cataw1 |   -1.786058    1.633425     -1.09    0.274     -4.987513     1.415397
        _cons |    32.69607     1.37246     23.82    0.000       30.0061     35.38605
  ------------+----------------------------------------------------------------
   BSIanx <-   |
     cumdose1 |    1.516971    .3393123      4.47    0.000      .8519311     2.182011
       cataw1 |    .7529861    .5880449      1.28    0.200     -.3995607     1.905533
        _cons |    8.383943    .2271462     36.91    0.000      7.938744     8.829141
--------------+----------------------------------------------------------------
 Variance      |
   e.cumdose1 |    .3007094    .0223207                     .259995     .3477996
     e.MiPTSD |     96.5324    7.165307                    83.46242     111.6491
     e.BSIanx |    12.56761    .9328556                    10.86602     14.53566
--------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(0)   =      0.00, Prob > chi2 =      .
.
. sem (cumdose1 -> MiPTSD) (cumdose1 -> BSIanx) (BSIanx -> MiPTSD) (cataw1 -> MiPTSD) (cataw1 -> BSIanx) if gender==2, nocapslatent

Endogenous variables


Observed:  MiPTSD BSIanx


Exogenous variables


Observed:  cumdose1 cataw1


Fitting target model:

Iteration 0:   log likelihood = -2713.4644
Iteration 1:   log likelihood = -2713.4644

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -2713.4644

-------------+----------------------------------------------------------------
             |                 OIM
             |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
 Structural   |
   MiPTSD <-  |
      BSIanx |    1.844948    .1454644     12.68    0.000      1.559843     2.130053
    cumdose1 |    1.517883    .9659366      1.57    0.116     -.3753183     3.411084
      cataw1 |   -1.786058    1.633425     -1.09    0.274     -4.987513     1.415397
       _cons |    32.69607     1.37246     23.82    0.000       30.0061     35.38605
  -----------+----------------------------------------------------------------
   BSIanx <-  |
    cumdose1 |    1.516971    .3393123      4.47    0.000      .8519311     2.182011
      cataw1 |    .7529861    .5880449      1.28    0.200     -.3995607     1.905533
       _cons |    8.383943    .2271462     36.91    0.000      7.938744     8.829141
-------------+----------------------------------------------------------------
 Variance     |
    e.MiPTSD |     96.5324    7.165307                    83.46242     111.6491
    e.BSIanx |    12.56761    .9328556                    10.86602     14.53566
-------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(0)   =      0.00, Prob > chi2 =      .
.
. sem (cumdose1 -> MiPTSD) (cumdose1 -> BSIanx) (BSIanx -> MiPTSD) (cataw1 -> BSIanx) if gender==2, nocapslatent

Endogenous variables


Observed:  MiPTSD BSIanx


Exogenous variables


Observed:  cumdose1 cataw1


Fitting target model:

Iteration 0:   log likelihood = -2714.0612
Iteration 1:   log likelihood = -2714.0612

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -2714.0612

-------------+----------------------------------------------------------------
             |                 OIM
             |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
 Structural   |
   MiPTSD <-  |
      BSIanx |    1.834282    .1453759     12.62    0.000      1.549351     2.119214
    cumdose1 |    1.507043    .9674751      1.56    0.119     -.3891737     3.403259
       _cons |    32.59374    1.371518     23.76    0.000      29.90561     35.28187
  -----------+----------------------------------------------------------------
   BSIanx <-  |
    cumdose1 |    1.516971    .3393123      4.47    0.000      .8519311     2.182011
      cataw1 |    .7529861    .5880449      1.28    0.200     -.3995607     1.905533
       _cons |    8.383943    .2271462     36.91    0.000      7.938744     8.829141
-------------+----------------------------------------------------------------
 Variance     |
    e.MiPTSD |    96.85035    7.188907                    83.73732     112.0168
    e.BSIanx |    12.56761    .9328556                    10.86602     14.53566
-------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      1.19, Prob > chi2 = 0.2746
.
. sem (cumdose1 -> MiPTSD) (cumdose1 -> BSIanx) (BSIanx -> MiPTSD) (cataw1) if gender==2, nocapslatent

Endogenous variables


Observed:  MiPTSD BSIanx


Exogenous variables


Observed:  cumdose1 cataw1


Fitting target model:

Iteration 0:   log likelihood = -2714.8792
Iteration 1:   log likelihood = -2714.8792

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -2714.8792

-------------+----------------------------------------------------------------
             |                 OIM
             |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
 Structural   |
   MiPTSD <-  |
      BSIanx |    1.834282    .1453759     12.62    0.000      1.549351     2.119214
    cumdose1 |    1.507043    .9674751      1.56    0.119     -.3891737     3.403259
       _cons |    32.59374    1.371518     23.76    0.000      29.90561     35.28187
  -----------+----------------------------------------------------------------
   BSIanx <-  |
    cumdose1 |    1.528414    .3399598      4.50    0.000      .8621048     2.194723
       _cons |    8.465151    .2186051     38.72    0.000      8.036693     8.893609
-------------+----------------------------------------------------------------
 Variance     |
    e.MiPTSD |    96.85035    7.188907                    83.73732     112.0168
    e.BSIanx |    12.62438    .9370693                     10.9151     14.60132
-------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(2)   =      2.83, Prob > chi2 = 0.2430
.
. sem (cumdose1 -> BSIanx) (BSIanx -> MiPTSD) (cataw1) if gender==2, nocapslatent

Endogenous variables


Observed:  BSIanx MiPTSD


Exogenous variables


Observed:  cumdose1 cataw1


Fitting target model:

Iteration 0:   log likelihood = -2716.0884
Iteration 1:   log likelihood = -2716.0884

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -2716.0884

-------------+----------------------------------------------------------------
             |                 OIM
             |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
 Structural   |
   BSIanx <-  |
    cumdose1 |    1.528414    .3399598      4.50    0.000      .8621048     2.194723
       _cons |    8.465151    .2186051     38.72    0.000      8.036693     8.893609
  -----------+----------------------------------------------------------------
   MiPTSD <-  |
      BSIanx |     1.88629     .141962     13.29    0.000       1.60805     2.164531
       _cons |    32.63245    1.375869     23.72    0.000       29.9358      35.3291
-------------+----------------------------------------------------------------
 Variance     |
    e.BSIanx |    12.62438    .9370693                     10.9151     14.60132
    e.MiPTSD |    97.49774    7.236961                    84.29706     112.7656
-------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(3)   =      5.25, Prob > chi2 = 0.1545
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. sjlog close, replace