Hi all,
Using stata 13.1, I am use SEM builder to estimate some models. Using the teffects command the direct effects and path coefficients match when i run the same model to report unstandardised parameters. see below. The path coefficient and direct effects differ when I use sem to estimate standardised forms of the parameters. Both the so called standardised version of the direct effect and the unstandardised version of the direct effect seem to match despite the standardised option being invoked. Does this mean the standardised option does not work or is there some error on my part?
see output code below
any suggestions?
Thanks in advance
Cheers
Rob
the unstandardised version
sem (ok_to_approach_adult_sum -> sex, ) (ok_to_approach_adult_sum -> intent_ord, ) (ok_to_approach_adult_sum -> ser_vig, ) (mh_apply_sum -
> > sex, ) (mh_apply_sum -> intent_ord, ) (mh_apply_sum -> ser_vig, ) (mh_good_info_sum -> sex, ) (mh_good_info_sum -> intent_ord, ) (mh_goo
> d_info_sum -> ser_vig, ) (sex -> intent_ord, ) (sex -> ser_vig, ) (ser_vig -> intent_ord, ), group() vce(robust) nocapslatent
(261 observations with missing values excluded)
Endogenous variables
Observed: sex intent_ord ser_vig
Exogenous variables
Observed: ok_to_approach_adult_sum mh_apply_sum mh_good_info_sum
Fitting target model:
Iteration 0: log pseudolikelihood = -16203.241
Iteration 1: log pseudolikelihood = -16203.241
Structural equation model Number of obs = 2547
Estimation method = ml
Log pseudolikelihood= -16203.241
--------------------------------------------------------------------------------------------
| Robust
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
Structural |
sex <- |
ok_to_approach_adult_sum | -.0514386 .0143711 -3.58 0.000 -.0796054 -.0232717
mh_apply_sum | .0435184 .0167046 2.61 0.009 .0107779 .0762589
mh_good_info_sum | -.0052946 .0126362 -0.42 0.675 -.030061 .0194719
_cons | 1.532323 .0527948 29.02 0.000 1.428847 1.635799
-------------------------+----------------------------------------------------------------
intent_ord <- |
sex | .1818926 .0315446 5.77 0.000 .1200664 .2437189
ser_vig | .211412 .0261006 8.10 0.000 .1602558 .2625683
ok_to_approach_adult_sum | .1993759 .0252529 7.90 0.000 .1498811 .2488707
mh_apply_sum | .0707564 .0299727 2.36 0.018 .0120109 .1295019
mh_good_info_sum | .0714516 .0214399 3.33 0.001 .0294302 .113473
_cons | 1.185845 .1315428 9.01 0.000 .9280261 1.443665
-------------------------+----------------------------------------------------------------
ser_vig <- |
sex | .1530228 .0264429 5.79 0.000 .1011957 .20485
ok_to_approach_adult_sum | -.0096945 .0196207 -0.49 0.621 -.0481503 .0287614
mh_apply_sum | .0722576 .0250326 2.89 0.004 .0231947 .1213205
mh_good_info_sum | .0420562 .0187252 2.25 0.025 .0053555 .078757
_cons | 2.618634 .0929715 28.17 0.000 2.436414 2.800855
---------------------------+----------------------------------------------------------------
var(e.sex)| .2486054 .0007342 .2471706 .2500485
var(e.intent_ord)| .6214013 .0188472 .585538 .6594611
var(e.ser_vig)| .4423899 .0128162 .4179704 .4682361
--------------------------------------------------------------------------------------------
.
. estat teffects
Direct effects
--------------------------------------------------------------------------------------------
| Robust
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
Structural |
sex <- |
ok_to_approach_adult_sum | -.0514386 .0143711 -3.58 0.000 -.0796054 -.0232717
mh_apply_sum | .0435184 .0167046 2.61 0.009 .0107779 .0762589
mh_good_info_sum | -.0052946 .0126362 -0.42 0.675 -.030061 .0194719
-------------------------+----------------------------------------------------------------
intent_ord <- |
sex | .1818926 .0315446 5.77 0.000 .1200664 .2437189
ser_vig | .211412 .0261006 8.10 0.000 .1602558 .2625683
ok_to_approach_adult_sum | .1993759 .0252529 7.90 0.000 .1498811 .2488707
mh_apply_sum | .0707564 .0299727 2.36 0.018 .0120109 .1295019
mh_good_info_sum | .0714516 .0214399 3.33 0.001 .0294302 .113473
-------------------------+----------------------------------------------------------------
ser_vig <- |
sex | .1530228 .0264429 5.79 0.000 .1011957 .20485
ok_to_approach_adult_sum | -.0096945 .0196207 -0.49 0.621 -.0481503 .0287614
mh_apply_sum | .0722576 .0250326 2.89 0.004 .0231947 .1213205
mh_good_info_sum | .0420562 .0187252 2.25 0.025 .0053555 .078757
--------------------------------------------------------------------------------------------
Indirect effects
--------------------------------------------------------------------------------------------
| Robust
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
Structural |
sex <- |
ok_to_approach_adult_sum | 0 (no path)
mh_apply_sum | 0 (no path)
mh_good_info_sum | 0 (no path)
-------------------------+----------------------------------------------------------------
intent_ord <- |
sex | .0323509 .0055903 5.79 0.000 .021394 .0433077
ser_vig | 0 (no path)
ok_to_approach_adult_sum | -.0130699 .0054551 -2.40 0.017 -.0237617 -.0023781
mh_apply_sum | .0245997 .0069411 3.54 0.000 .0109953 .038204
mh_good_info_sum | .0077569 .0052014 1.49 0.136 -.0024377 .0179514
-------------------------+----------------------------------------------------------------
ser_vig <- |
sex | 0 (no path)
ok_to_approach_adult_sum | -.0078713 .0025843 -3.05 0.002 -.0129364 -.0028062
mh_apply_sum | .0066593 .0028033 2.38 0.018 .0011649 .0121537
mh_good_info_sum | -.0008102 .0019387 -0.42 0.676 -.0046101 .0029897
--------------------------------------------------------------------------------------------
Total effects
--------------------------------------------------------------------------------------------
| Robust
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
Structural |
sex <- |
ok_to_approach_adult_sum | -.0514386 .0143711 -3.58 0.000 -.0796054 -.0232717
mh_apply_sum | .0435184 .0167046 2.61 0.009 .0107779 .0762589
mh_good_info_sum | -.0052946 .0126362 -0.42 0.675 -.030061 .0194719
-------------------------+----------------------------------------------------------------
intent_ord <- |
sex | .2142435 .0320311 6.69 0.000 .1514636 .2770234
ser_vig | .211412 .0261006 8.10 0.000 .1602558 .2625683
ok_to_approach_adult_sum | .186306 .0256404 7.27 0.000 .1360517 .2365603
mh_apply_sum | .0953561 .0306417 3.11 0.002 .0352995 .1554127
mh_good_info_sum | .0792085 .0219232 3.61 0.000 .0362398 .1221771
-------------------------+----------------------------------------------------------------
ser_vig <- |
sex | .1530228 .0264429 5.79 0.000 .1011957 .20485
ok_to_approach_adult_sum | -.0175658 .0197631 -0.89 0.374 -.0563006 .0211691
mh_apply_sum | .0789169 .025283 3.12 0.002 .0293631 .1284708
mh_good_info_sum | .041246 .0190141 2.17 0.030 .003979 .078513
--------------------------------------------------------------------------------------------
the standardised version
. sem (ok_to_approach_adult_sum -> sex, ) (ok_to_approach_adult_sum -> intent_ord, ) (ok_to_approach_adult_sum -> ser_vig, ) (mh_apply_sum -
> > sex, ) (mh_apply_sum -> intent_ord, ) (mh_apply_sum -> ser_vig, ) (mh_good_info_sum -> sex, ) (mh_good_info_sum -> intent_ord, ) (mh_goo
> d_info_sum -> ser_vig, ) (sex -> intent_ord, ) (sex -> ser_vig, ) (ser_vig -> intent_ord, ), group() vce(robust) standardized nocapslatent
(261 observations with missing values excluded)
Endogenous variables
Observed: sex intent_ord ser_vig
Exogenous variables
Observed: ok_to_approach_adult_sum mh_apply_sum mh_good_info_sum
Fitting target model:
Iteration 0: log pseudolikelihood = -16203.241
Iteration 1: log pseudolikelihood = -16203.241
Structural equation model Number of obs = 2547
Estimation method = ml
Log pseudolikelihood= -16203.241
--------------------------------------------------------------------------------------------
| Robust
Standardized | Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
Structural |
sex <- |
ok_to_approach_adult_sum | -.0970681 .027119 -3.58 0.000 -.1502204 -.0439159
mh_apply_sum | .0704292 .0270342 2.61 0.009 .0174431 .1234152
mh_good_info_sum | -.0093392 .0222891 -0.42 0.675 -.053025 .0343466
_cons | 3.064699 .1056623 29.00 0.000 2.857605 3.271793
-------------------------+----------------------------------------------------------------
intent_ord <- |
sex | .1066382 .0183578 5.81 0.000 .0706575 .1426188
ser_vig | .1670085 .0202594 8.24 0.000 .1273008 .2067162
ok_to_approach_adult_sum | .2205758 .0277305 7.95 0.000 .1662251 .2749266
mh_apply_sum | .0671341 .0283436 2.37 0.018 .0115817 .1226865
mh_good_info_sum | .0738901 .0220302 3.35 0.001 .0307118 .1170684
_cons | 1.390475 .1666326 8.34 0.000 1.063881 1.717069
-------------------------+----------------------------------------------------------------
ser_vig <- |
sex | .1135651 .0192003 5.91 0.000 .0759332 .151197
ok_to_approach_adult_sum | -.0135769 .0274614 -0.49 0.621 -.0674003 .0402465
mh_apply_sum | .0867865 .0297777 2.91 0.004 .0284234 .1451496
mh_good_info_sum | .0550549 .0245273 2.24 0.025 .0069822 .1031275
_cons | 3.88688 .1680718 23.13 0.000 3.557465 4.216295
---------------------------+----------------------------------------------------------------
var(e.sex)| .9944561 .0029265 .9887368 1.000209
var(e.intent_ord)| .8543627 .0143096 .8267718 .8828743
var(e.ser_vig)| .9746703 .0066683 .9616879 .9878279
--------------------------------------------------------------------------------------------
.
. estat teffects, stand
Direct effects
--------------------------------------------------------------------------------------------
| Robust
| Coef. Std. Err. z P>|z| Std. Coef.
---------------------------+----------------------------------------------------------------
Structural |
sex <- |
ok_to_approach_adult_sum | -.0514386 .0143711 -3.58 0.000 -.0970681
mh_apply_sum | .0435184 .0167046 2.61 0.009 .0704292
mh_good_info_sum | -.0052946 .0126362 -0.42 0.675 -.0093392
-------------------------+----------------------------------------------------------------
intent_ord <- |
sex | .1818926 .0315446 5.77 0.000 .1066382
ser_vig | .211412 .0261006 8.10 0.000 .1670085
ok_to_approach_adult_sum | .1993759 .0252529 7.90 0.000 .2205758
mh_apply_sum | .0707564 .0299727 2.36 0.018 .0671341
mh_good_info_sum | .0714516 .0214399 3.33 0.001 .0738901
-------------------------+----------------------------------------------------------------
ser_vig <- |
sex | .1530228 .0264429 5.79 0.000 .1135651
ok_to_approach_adult_sum | -.0096945 .0196207 -0.49 0.621 -.0135769
mh_apply_sum | .0722576 .0250326 2.89 0.004 .0867865
mh_good_info_sum | .0420562 .0187252 2.25 0.025 .0550549
--------------------------------------------------------------------------------------------
Indirect effects
--------------------------------------------------------------------------------------------
| Robust
| Coef. Std. Err. z P>|z| Std. Coef.
---------------------------+----------------------------------------------------------------
Structural |
sex <- |
ok_to_approach_adult_sum | 0 (no path) 0
mh_apply_sum | 0 (no path) 0
mh_good_info_sum | 0 (no path) 0
-------------------------+----------------------------------------------------------------
intent_ord <- |
sex | .0323509 .0055903 5.79 0.000 .0189663
ser_vig | 0 (no path) 0
ok_to_approach_adult_sum | -.0130699 .0054551 -2.40 0.017 -.0144596
mh_apply_sum | .0245997 .0069411 3.54 0.000 .0233403
mh_good_info_sum | .0077569 .0052014 1.49 0.136 .0080216
-------------------------+----------------------------------------------------------------
ser_vig <- |
sex | 0 (no path) 0
ok_to_approach_adult_sum | -.0078713 .0025843 -3.05 0.002 -.0110236
mh_apply_sum | .0066593 .0028033 2.38 0.018 .0079983
mh_good_info_sum | -.0008102 .0019387 -0.42 0.676 -.0010606
--------------------------------------------------------------------------------------------
Total effects
--------------------------------------------------------------------------------------------
| Robust
| Coef. Std. Err. z P>|z| Std. Coef.
---------------------------+----------------------------------------------------------------
Structural |
sex <- |
ok_to_approach_adult_sum | -.0514386 .0143711 -3.58 0.000 -.0970681
mh_apply_sum | .0435184 .0167046 2.61 0.009 .0704292
mh_good_info_sum | -.0052946 .0126362 -0.42 0.675 -.0093392
-------------------------+----------------------------------------------------------------
intent_ord <- |
sex | .2142435 .0320311 6.69 0.000 .1256045
ser_vig | .211412 .0261006 8.10 0.000 .1670085
ok_to_approach_adult_sum | .186306 .0256404 7.27 0.000 .2061162
mh_apply_sum | .0953561 .0306417 3.11 0.002 .0904744
mh_good_info_sum | .0792085 .0219232 3.61 0.000 .0819117
-------------------------+----------------------------------------------------------------
ser_vig <- |
sex | .1530228 .0264429 5.79 0.000 .1135651
ok_to_approach_adult_sum | -.0175658 .0197631 -0.89 0.374 -.0246005
mh_apply_sum | .0789169 .025283 3.12 0.002 .0947848
mh_good_info_sum | .041246 .0190141 2.17 0.030 .0539943
--------------------------------------------------------------------------------------------
Using stata 13.1, I am use SEM builder to estimate some models. Using the teffects command the direct effects and path coefficients match when i run the same model to report unstandardised parameters. see below. The path coefficient and direct effects differ when I use sem to estimate standardised forms of the parameters. Both the so called standardised version of the direct effect and the unstandardised version of the direct effect seem to match despite the standardised option being invoked. Does this mean the standardised option does not work or is there some error on my part?
see output code below
any suggestions?
Thanks in advance
Cheers
Rob
the unstandardised version
sem (ok_to_approach_adult_sum -> sex, ) (ok_to_approach_adult_sum -> intent_ord, ) (ok_to_approach_adult_sum -> ser_vig, ) (mh_apply_sum -
> > sex, ) (mh_apply_sum -> intent_ord, ) (mh_apply_sum -> ser_vig, ) (mh_good_info_sum -> sex, ) (mh_good_info_sum -> intent_ord, ) (mh_goo
> d_info_sum -> ser_vig, ) (sex -> intent_ord, ) (sex -> ser_vig, ) (ser_vig -> intent_ord, ), group() vce(robust) nocapslatent
(261 observations with missing values excluded)
Endogenous variables
Observed: sex intent_ord ser_vig
Exogenous variables
Observed: ok_to_approach_adult_sum mh_apply_sum mh_good_info_sum
Fitting target model:
Iteration 0: log pseudolikelihood = -16203.241
Iteration 1: log pseudolikelihood = -16203.241
Structural equation model Number of obs = 2547
Estimation method = ml
Log pseudolikelihood= -16203.241
--------------------------------------------------------------------------------------------
| Robust
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
Structural |
sex <- |
ok_to_approach_adult_sum | -.0514386 .0143711 -3.58 0.000 -.0796054 -.0232717
mh_apply_sum | .0435184 .0167046 2.61 0.009 .0107779 .0762589
mh_good_info_sum | -.0052946 .0126362 -0.42 0.675 -.030061 .0194719
_cons | 1.532323 .0527948 29.02 0.000 1.428847 1.635799
-------------------------+----------------------------------------------------------------
intent_ord <- |
sex | .1818926 .0315446 5.77 0.000 .1200664 .2437189
ser_vig | .211412 .0261006 8.10 0.000 .1602558 .2625683
ok_to_approach_adult_sum | .1993759 .0252529 7.90 0.000 .1498811 .2488707
mh_apply_sum | .0707564 .0299727 2.36 0.018 .0120109 .1295019
mh_good_info_sum | .0714516 .0214399 3.33 0.001 .0294302 .113473
_cons | 1.185845 .1315428 9.01 0.000 .9280261 1.443665
-------------------------+----------------------------------------------------------------
ser_vig <- |
sex | .1530228 .0264429 5.79 0.000 .1011957 .20485
ok_to_approach_adult_sum | -.0096945 .0196207 -0.49 0.621 -.0481503 .0287614
mh_apply_sum | .0722576 .0250326 2.89 0.004 .0231947 .1213205
mh_good_info_sum | .0420562 .0187252 2.25 0.025 .0053555 .078757
_cons | 2.618634 .0929715 28.17 0.000 2.436414 2.800855
---------------------------+----------------------------------------------------------------
var(e.sex)| .2486054 .0007342 .2471706 .2500485
var(e.intent_ord)| .6214013 .0188472 .585538 .6594611
var(e.ser_vig)| .4423899 .0128162 .4179704 .4682361
--------------------------------------------------------------------------------------------
.
. estat teffects
Direct effects
--------------------------------------------------------------------------------------------
| Robust
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
Structural |
sex <- |
ok_to_approach_adult_sum | -.0514386 .0143711 -3.58 0.000 -.0796054 -.0232717
mh_apply_sum | .0435184 .0167046 2.61 0.009 .0107779 .0762589
mh_good_info_sum | -.0052946 .0126362 -0.42 0.675 -.030061 .0194719
-------------------------+----------------------------------------------------------------
intent_ord <- |
sex | .1818926 .0315446 5.77 0.000 .1200664 .2437189
ser_vig | .211412 .0261006 8.10 0.000 .1602558 .2625683
ok_to_approach_adult_sum | .1993759 .0252529 7.90 0.000 .1498811 .2488707
mh_apply_sum | .0707564 .0299727 2.36 0.018 .0120109 .1295019
mh_good_info_sum | .0714516 .0214399 3.33 0.001 .0294302 .113473
-------------------------+----------------------------------------------------------------
ser_vig <- |
sex | .1530228 .0264429 5.79 0.000 .1011957 .20485
ok_to_approach_adult_sum | -.0096945 .0196207 -0.49 0.621 -.0481503 .0287614
mh_apply_sum | .0722576 .0250326 2.89 0.004 .0231947 .1213205
mh_good_info_sum | .0420562 .0187252 2.25 0.025 .0053555 .078757
--------------------------------------------------------------------------------------------
Indirect effects
--------------------------------------------------------------------------------------------
| Robust
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
Structural |
sex <- |
ok_to_approach_adult_sum | 0 (no path)
mh_apply_sum | 0 (no path)
mh_good_info_sum | 0 (no path)
-------------------------+----------------------------------------------------------------
intent_ord <- |
sex | .0323509 .0055903 5.79 0.000 .021394 .0433077
ser_vig | 0 (no path)
ok_to_approach_adult_sum | -.0130699 .0054551 -2.40 0.017 -.0237617 -.0023781
mh_apply_sum | .0245997 .0069411 3.54 0.000 .0109953 .038204
mh_good_info_sum | .0077569 .0052014 1.49 0.136 -.0024377 .0179514
-------------------------+----------------------------------------------------------------
ser_vig <- |
sex | 0 (no path)
ok_to_approach_adult_sum | -.0078713 .0025843 -3.05 0.002 -.0129364 -.0028062
mh_apply_sum | .0066593 .0028033 2.38 0.018 .0011649 .0121537
mh_good_info_sum | -.0008102 .0019387 -0.42 0.676 -.0046101 .0029897
--------------------------------------------------------------------------------------------
Total effects
--------------------------------------------------------------------------------------------
| Robust
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
Structural |
sex <- |
ok_to_approach_adult_sum | -.0514386 .0143711 -3.58 0.000 -.0796054 -.0232717
mh_apply_sum | .0435184 .0167046 2.61 0.009 .0107779 .0762589
mh_good_info_sum | -.0052946 .0126362 -0.42 0.675 -.030061 .0194719
-------------------------+----------------------------------------------------------------
intent_ord <- |
sex | .2142435 .0320311 6.69 0.000 .1514636 .2770234
ser_vig | .211412 .0261006 8.10 0.000 .1602558 .2625683
ok_to_approach_adult_sum | .186306 .0256404 7.27 0.000 .1360517 .2365603
mh_apply_sum | .0953561 .0306417 3.11 0.002 .0352995 .1554127
mh_good_info_sum | .0792085 .0219232 3.61 0.000 .0362398 .1221771
-------------------------+----------------------------------------------------------------
ser_vig <- |
sex | .1530228 .0264429 5.79 0.000 .1011957 .20485
ok_to_approach_adult_sum | -.0175658 .0197631 -0.89 0.374 -.0563006 .0211691
mh_apply_sum | .0789169 .025283 3.12 0.002 .0293631 .1284708
mh_good_info_sum | .041246 .0190141 2.17 0.030 .003979 .078513
--------------------------------------------------------------------------------------------
the standardised version
. sem (ok_to_approach_adult_sum -> sex, ) (ok_to_approach_adult_sum -> intent_ord, ) (ok_to_approach_adult_sum -> ser_vig, ) (mh_apply_sum -
> > sex, ) (mh_apply_sum -> intent_ord, ) (mh_apply_sum -> ser_vig, ) (mh_good_info_sum -> sex, ) (mh_good_info_sum -> intent_ord, ) (mh_goo
> d_info_sum -> ser_vig, ) (sex -> intent_ord, ) (sex -> ser_vig, ) (ser_vig -> intent_ord, ), group() vce(robust) standardized nocapslatent
(261 observations with missing values excluded)
Endogenous variables
Observed: sex intent_ord ser_vig
Exogenous variables
Observed: ok_to_approach_adult_sum mh_apply_sum mh_good_info_sum
Fitting target model:
Iteration 0: log pseudolikelihood = -16203.241
Iteration 1: log pseudolikelihood = -16203.241
Structural equation model Number of obs = 2547
Estimation method = ml
Log pseudolikelihood= -16203.241
--------------------------------------------------------------------------------------------
| Robust
Standardized | Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
Structural |
sex <- |
ok_to_approach_adult_sum | -.0970681 .027119 -3.58 0.000 -.1502204 -.0439159
mh_apply_sum | .0704292 .0270342 2.61 0.009 .0174431 .1234152
mh_good_info_sum | -.0093392 .0222891 -0.42 0.675 -.053025 .0343466
_cons | 3.064699 .1056623 29.00 0.000 2.857605 3.271793
-------------------------+----------------------------------------------------------------
intent_ord <- |
sex | .1066382 .0183578 5.81 0.000 .0706575 .1426188
ser_vig | .1670085 .0202594 8.24 0.000 .1273008 .2067162
ok_to_approach_adult_sum | .2205758 .0277305 7.95 0.000 .1662251 .2749266
mh_apply_sum | .0671341 .0283436 2.37 0.018 .0115817 .1226865
mh_good_info_sum | .0738901 .0220302 3.35 0.001 .0307118 .1170684
_cons | 1.390475 .1666326 8.34 0.000 1.063881 1.717069
-------------------------+----------------------------------------------------------------
ser_vig <- |
sex | .1135651 .0192003 5.91 0.000 .0759332 .151197
ok_to_approach_adult_sum | -.0135769 .0274614 -0.49 0.621 -.0674003 .0402465
mh_apply_sum | .0867865 .0297777 2.91 0.004 .0284234 .1451496
mh_good_info_sum | .0550549 .0245273 2.24 0.025 .0069822 .1031275
_cons | 3.88688 .1680718 23.13 0.000 3.557465 4.216295
---------------------------+----------------------------------------------------------------
var(e.sex)| .9944561 .0029265 .9887368 1.000209
var(e.intent_ord)| .8543627 .0143096 .8267718 .8828743
var(e.ser_vig)| .9746703 .0066683 .9616879 .9878279
--------------------------------------------------------------------------------------------
.
. estat teffects, stand
Direct effects
--------------------------------------------------------------------------------------------
| Robust
| Coef. Std. Err. z P>|z| Std. Coef.
---------------------------+----------------------------------------------------------------
Structural |
sex <- |
ok_to_approach_adult_sum | -.0514386 .0143711 -3.58 0.000 -.0970681
mh_apply_sum | .0435184 .0167046 2.61 0.009 .0704292
mh_good_info_sum | -.0052946 .0126362 -0.42 0.675 -.0093392
-------------------------+----------------------------------------------------------------
intent_ord <- |
sex | .1818926 .0315446 5.77 0.000 .1066382
ser_vig | .211412 .0261006 8.10 0.000 .1670085
ok_to_approach_adult_sum | .1993759 .0252529 7.90 0.000 .2205758
mh_apply_sum | .0707564 .0299727 2.36 0.018 .0671341
mh_good_info_sum | .0714516 .0214399 3.33 0.001 .0738901
-------------------------+----------------------------------------------------------------
ser_vig <- |
sex | .1530228 .0264429 5.79 0.000 .1135651
ok_to_approach_adult_sum | -.0096945 .0196207 -0.49 0.621 -.0135769
mh_apply_sum | .0722576 .0250326 2.89 0.004 .0867865
mh_good_info_sum | .0420562 .0187252 2.25 0.025 .0550549
--------------------------------------------------------------------------------------------
Indirect effects
--------------------------------------------------------------------------------------------
| Robust
| Coef. Std. Err. z P>|z| Std. Coef.
---------------------------+----------------------------------------------------------------
Structural |
sex <- |
ok_to_approach_adult_sum | 0 (no path) 0
mh_apply_sum | 0 (no path) 0
mh_good_info_sum | 0 (no path) 0
-------------------------+----------------------------------------------------------------
intent_ord <- |
sex | .0323509 .0055903 5.79 0.000 .0189663
ser_vig | 0 (no path) 0
ok_to_approach_adult_sum | -.0130699 .0054551 -2.40 0.017 -.0144596
mh_apply_sum | .0245997 .0069411 3.54 0.000 .0233403
mh_good_info_sum | .0077569 .0052014 1.49 0.136 .0080216
-------------------------+----------------------------------------------------------------
ser_vig <- |
sex | 0 (no path) 0
ok_to_approach_adult_sum | -.0078713 .0025843 -3.05 0.002 -.0110236
mh_apply_sum | .0066593 .0028033 2.38 0.018 .0079983
mh_good_info_sum | -.0008102 .0019387 -0.42 0.676 -.0010606
--------------------------------------------------------------------------------------------
Total effects
--------------------------------------------------------------------------------------------
| Robust
| Coef. Std. Err. z P>|z| Std. Coef.
---------------------------+----------------------------------------------------------------
Structural |
sex <- |
ok_to_approach_adult_sum | -.0514386 .0143711 -3.58 0.000 -.0970681
mh_apply_sum | .0435184 .0167046 2.61 0.009 .0704292
mh_good_info_sum | -.0052946 .0126362 -0.42 0.675 -.0093392
-------------------------+----------------------------------------------------------------
intent_ord <- |
sex | .2142435 .0320311 6.69 0.000 .1256045
ser_vig | .211412 .0261006 8.10 0.000 .1670085
ok_to_approach_adult_sum | .186306 .0256404 7.27 0.000 .2061162
mh_apply_sum | .0953561 .0306417 3.11 0.002 .0904744
mh_good_info_sum | .0792085 .0219232 3.61 0.000 .0819117
-------------------------+----------------------------------------------------------------
ser_vig <- |
sex | .1530228 .0264429 5.79 0.000 .1135651
ok_to_approach_adult_sum | -.0175658 .0197631 -0.89 0.374 -.0246005
mh_apply_sum | .0789169 .025283 3.12 0.002 .0947848
mh_good_info_sum | .041246 .0190141 2.17 0.030 .0539943
--------------------------------------------------------------------------------------------
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