Gradivo vezano na raziskavo: Odnos do cepljenja proti SARS-CoV-2, 2020: Priložnostni vzorec ADP-IDNo: SARSPR20 ADP DOI: https://doi.org/10.17898/ADP_SARSPR20_V1 IZPIS REZULTATOV V STATA_III ------------------------------------------------------------------------------------------------------ name: log: C:\Documents\MSS\Vse analize mediacij.log log type: text opened on: 9 Feb 2021, 14:54:51 . medeff (probit grip starr gndr edur2 izkus zdravn medse studm studd fac1_1 fac2_1 fac3_1) (regress q > 9 starr gndr edur2 grip izkus zdravn medse studm studd fac1_1 fac2_1 fac3_1), mediate(grip) treat(st > arr) Using 0 and 1 as treatment values Iteration 0: log likelihood = -8305.7272 Iteration 1: log likelihood = -7019.7185 Iteration 2: log likelihood = -6975.9385 Iteration 3: log likelihood = -6975.4272 Iteration 4: log likelihood = -6975.427 Probit regression Number of obs = 12040 LR chi2(11) = 2660.60 Prob > chi2 = 0.0000 Log likelihood = -6975.427 Pseudo R2 = 0.1602 ------------------------------------------------------------------------------ grip | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- starr | .2039534 .0181036 11.27 0.000 .168471 .2394358 gndr | .1526916 .0259784 5.88 0.000 .101775 .2036082 edur2 | -.1880166 .0273955 -6.86 0.000 -.2417108 -.1343223 izkus | .0472533 .025449 1.86 0.063 -.0026258 .0971324 zdravn | 1.356338 .0689922 19.66 0.000 1.221116 1.49156 medse | .4355806 .0539603 8.07 0.000 .3298203 .5413409 studm | 1.186788 .0953749 12.44 0.000 .9998566 1.373719 studd | .1799663 .0765779 2.35 0.019 .0298764 .3300561 fac1_1 | .4587913 .01372 33.44 0.000 .4319006 .4856821 fac2_1 | -.1137782 .012571 -9.05 0.000 -.138417 -.0891394 fac3_1 | -.045299 .0126634 -3.58 0.000 -.0701189 -.0204792 _cons | -.564493 .0380783 -14.82 0.000 -.6391251 -.4898609 ------------------------------------------------------------------------------ Source | SS df MS Number of obs = 12,040 -------------+---------------------------------- F(12, 12027) = 1658.41 Model | 9787.66595 12 815.638829 Prob > F = 0.0000 Residual | 5915.13106 12,027 .491820991 R-squared = 0.6233 -------------+---------------------------------- Adj R-squared = 0.6229 Total | 15702.797 12,039 1.30432735 Root MSE = .7013 ------------------------------------------------------------------------------ q9 | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- starr | .1413659 .0094825 14.91 0.000 .1227787 .1599531 grip | .2780881 .0143088 19.43 0.000 .2500405 .3061357 gndr | .0709358 .0136041 5.21 0.000 .0442696 .0976019 edur2 | -.0327842 .0144345 -2.27 0.023 -.0610782 -.0044903 izkus | -.0112872 .0133369 -0.85 0.397 -.0374298 .0148553 zdravn | -.0315841 .0278754 -1.13 0.257 -.0862245 .0230562 medse | -.0151133 .0283352 -0.53 0.594 -.0706548 .0404283 studm | .022558 .0423059 0.53 0.594 -.0603684 .1054844 studd | .0188398 .0412876 0.46 0.648 -.0620905 .09977 fac1_1 | .801052 .007039 113.80 0.000 .7872543 .8148497 fac2_1 | -.1810298 .0065018 -27.84 0.000 -.1937744 -.1682853 fac3_1 | -.0594537 .0065979 -9.01 0.000 -.0723868 -.0465207 _cons | 2.323999 .020479 113.48 0.000 2.283856 2.364141 ------------------------------------------------------------------------------ (11,040 missing values generated) (11,040 missing values generated) (11,040 missing values generated) ------------------------------------------------------------------------------------ Effect | Mean [95% Conf. Interval] -------------------------------+---------------------------------------------------- ACME | .0189234 .0155176 .0225082 Direct Effect | .1415689 .1238005 .1602008 Total Effect | .1604923 .1425321 .1794009 % of Tot Eff mediated | .1179907 .1054812 .132766 ------------------------------------------------------------------------------------ . medeff (probit grip starr gndr edur2 izkus zdravn medse studm studd fac1_1 fac2_1 fac3_1) (regress q > 9 starr gndr edur2 grip izkus zdravn medse studm studd fac1_1 fac2_1 fac3_1), mediate(grip) treat(ed > ur2) Using 0 and 1 as treatment values Iteration 0: log likelihood = -8305.7272 Iteration 1: log likelihood = -7019.7185 Iteration 2: log likelihood = -6975.9385 Iteration 3: log likelihood = -6975.4272 Iteration 4: log likelihood = -6975.427 Probit regression Number of obs = 12040 LR chi2(11) = 2660.60 Prob > chi2 = 0.0000 Log likelihood = -6975.427 Pseudo R2 = 0.1602 ------------------------------------------------------------------------------ grip | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- edur2 | -.1880166 .0273955 -6.86 0.000 -.2417108 -.1343223 starr | .2039534 .0181036 11.27 0.000 .168471 .2394358 gndr | .1526916 .0259784 5.88 0.000 .101775 .2036082 izkus | .0472533 .025449 1.86 0.063 -.0026258 .0971324 zdravn | 1.356338 .0689922 19.66 0.000 1.221116 1.49156 medse | .4355806 .0539603 8.07 0.000 .3298203 .5413409 studm | 1.186788 .0953749 12.44 0.000 .9998566 1.373719 studd | .1799663 .0765779 2.35 0.019 .0298764 .3300561 fac1_1 | .4587913 .01372 33.44 0.000 .4319006 .4856821 fac2_1 | -.1137782 .012571 -9.05 0.000 -.138417 -.0891394 fac3_1 | -.045299 .0126634 -3.58 0.000 -.0701189 -.0204792 _cons | -.564493 .0380783 -14.82 0.000 -.6391251 -.4898609 ------------------------------------------------------------------------------ Source | SS df MS Number of obs = 12,040 -------------+---------------------------------- F(12, 12027) = 1658.41 Model | 9787.66595 12 815.638829 Prob > F = 0.0000 Residual | 5915.13106 12,027 .491820991 R-squared = 0.6233 -------------+---------------------------------- Adj R-squared = 0.6229 Total | 15702.797 12,039 1.30432735 Root MSE = .7013 ------------------------------------------------------------------------------ q9 | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- edur2 | -.0327842 .0144345 -2.27 0.023 -.0610782 -.0044903 grip | .2780881 .0143088 19.43 0.000 .2500405 .3061357 starr | .1413659 .0094825 14.91 0.000 .1227787 .1599531 gndr | .0709358 .0136041 5.21 0.000 .0442696 .0976019 izkus | -.0112872 .0133369 -0.85 0.397 -.0374298 .0148553 zdravn | -.0315841 .0278754 -1.13 0.257 -.0862245 .0230562 medse | -.0151133 .0283352 -0.53 0.594 -.0706548 .0404283 studm | .022558 .0423059 0.53 0.594 -.0603684 .1054844 studd | .0188398 .0412876 0.46 0.648 -.0620905 .09977 fac1_1 | .801052 .007039 113.80 0.000 .7872543 .8148497 fac2_1 | -.1810298 .0065018 -27.84 0.000 -.1937744 -.1682853 fac3_1 | -.0594537 .0065979 -9.01 0.000 -.0723868 -.0465207 _cons | 2.323999 .020479 113.48 0.000 2.283856 2.364141 ------------------------------------------------------------------------------ (11,040 missing values generated) (11,040 missing values generated) (11,040 missing values generated) ------------------------------------------------------------------------------------ Effect | Mean [95% Conf. Interval] -------------------------------+---------------------------------------------------- ACME | -.0158675 -.0210105 -.0112584 Direct Effect | -.0324753 -.0595228 -.0041133 Total Effect | -.0483428 -.0768394 -.0203681 % of Tot Eff mediated | .3271774 .2065018 .7790617 ------------------------------------------------------------------------------------ . medeff (probit grip starr gndr edur2 izkus zdravn medse studm studd fac1_1 fac2_1 fac3_1) (regress q > 9 starr gndr edur2 grip izkus zdravn medse studm studd fac1_1 fac2_1 fac3_1), mediate(grip) treat(iz > kus) Using 0 and 1 as treatment values Iteration 0: log likelihood = -8305.7272 Iteration 1: log likelihood = -7019.7185 Iteration 2: log likelihood = -6975.9385 Iteration 3: log likelihood = -6975.4272 Iteration 4: log likelihood = -6975.427 Probit regression Number of obs = 12040 LR chi2(11) = 2660.60 Prob > chi2 = 0.0000 Log likelihood = -6975.427 Pseudo R2 = 0.1602 ------------------------------------------------------------------------------ grip | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- izkus | .0472533 .025449 1.86 0.063 -.0026258 .0971324 starr | .2039534 .0181036 11.27 0.000 .168471 .2394358 gndr | .1526916 .0259784 5.88 0.000 .101775 .2036082 edur2 | -.1880166 .0273955 -6.86 0.000 -.2417108 -.1343223 zdravn | 1.356338 .0689922 19.66 0.000 1.221116 1.49156 medse | .4355806 .0539603 8.07 0.000 .3298203 .5413409 studm | 1.186788 .0953749 12.44 0.000 .9998566 1.373719 studd | .1799663 .0765779 2.35 0.019 .0298764 .3300561 fac1_1 | .4587913 .01372 33.44 0.000 .4319006 .4856821 fac2_1 | -.1137782 .012571 -9.05 0.000 -.138417 -.0891394 fac3_1 | -.045299 .0126634 -3.58 0.000 -.0701189 -.0204792 _cons | -.564493 .0380783 -14.82 0.000 -.6391251 -.4898609 ------------------------------------------------------------------------------ Source | SS df MS Number of obs = 12,040 -------------+---------------------------------- F(12, 12027) = 1658.41 Model | 9787.66595 12 815.638829 Prob > F = 0.0000 Residual | 5915.13106 12,027 .491820991 R-squared = 0.6233 -------------+---------------------------------- Adj R-squared = 0.6229 Total | 15702.797 12,039 1.30432735 Root MSE = .7013 ------------------------------------------------------------------------------ q9 | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- izkus | -.0112872 .0133369 -0.85 0.397 -.0374298 .0148553 grip | .2780881 .0143088 19.43 0.000 .2500405 .3061357 starr | .1413659 .0094825 14.91 0.000 .1227787 .1599531 gndr | .0709358 .0136041 5.21 0.000 .0442696 .0976019 edur2 | -.0327842 .0144345 -2.27 0.023 -.0610782 -.0044903 zdravn | -.0315841 .0278754 -1.13 0.257 -.0862245 .0230562 medse | -.0151133 .0283352 -0.53 0.594 -.0706548 .0404283 studm | .022558 .0423059 0.53 0.594 -.0603684 .1054844 studd | .0188398 .0412876 0.46 0.648 -.0620905 .09977 fac1_1 | .801052 .007039 113.80 0.000 .7872543 .8148497 fac2_1 | -.1810298 .0065018 -27.84 0.000 -.1937744 -.1682853 fac3_1 | -.0594537 .0065979 -9.01 0.000 -.0723868 -.0465207 _cons | 2.323999 .020479 113.48 0.000 2.283856 2.364141 ------------------------------------------------------------------------------ (11,040 missing values generated) (11,040 missing values generated) (11,040 missing values generated) ------------------------------------------------------------------------------------ Effect | Mean [95% Conf. Interval] -------------------------------+---------------------------------------------------- ACME | .0054972 .0012172 .0100435 Direct Effect | -.0110017 -.0359926 .0152037 Total Effect | -.0055045 -.0313693 .0207562 % of Tot Eff mediated | -.2733993 -5.461911 7.399121 ------------------------------------------------------------------------------------ . medeff (probit grip starr gndr edur2 izkus zdravn medse studm studd fac1_1 fac2_1 fac3_1) (regress q > 9 starr gndr edur2 grip izkus zdravn medse studm studd fac1_1 fac2_1 fac3_1), mediate(grip) treat(zd > ravn) Using 0 and 1 as treatment values Iteration 0: log likelihood = -8305.7272 Iteration 1: log likelihood = -7019.7185 Iteration 2: log likelihood = -6975.9385 Iteration 3: log likelihood = -6975.4272 Iteration 4: log likelihood = -6975.427 Probit regression Number of obs = 12040 LR chi2(11) = 2660.60 Prob > chi2 = 0.0000 Log likelihood = -6975.427 Pseudo R2 = 0.1602 ------------------------------------------------------------------------------ grip | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- zdravn | 1.356338 .0689922 19.66 0.000 1.221116 1.49156 starr | .2039534 .0181036 11.27 0.000 .168471 .2394358 gndr | .1526916 .0259784 5.88 0.000 .101775 .2036082 edur2 | -.1880166 .0273955 -6.86 0.000 -.2417108 -.1343223 izkus | .0472533 .025449 1.86 0.063 -.0026258 .0971324 medse | .4355806 .0539603 8.07 0.000 .3298203 .5413409 studm | 1.186788 .0953749 12.44 0.000 .9998566 1.373719 studd | .1799663 .0765779 2.35 0.019 .0298764 .3300561 fac1_1 | .4587913 .01372 33.44 0.000 .4319006 .4856821 fac2_1 | -.1137782 .012571 -9.05 0.000 -.138417 -.0891394 fac3_1 | -.045299 .0126634 -3.58 0.000 -.0701189 -.0204792 _cons | -.564493 .0380783 -14.82 0.000 -.6391251 -.4898609 ------------------------------------------------------------------------------ Source | SS df MS Number of obs = 12,040 -------------+---------------------------------- F(12, 12027) = 1658.41 Model | 9787.66595 12 815.638829 Prob > F = 0.0000 Residual | 5915.13106 12,027 .491820991 R-squared = 0.6233 -------------+---------------------------------- Adj R-squared = 0.6229 Total | 15702.797 12,039 1.30432735 Root MSE = .7013 ------------------------------------------------------------------------------ q9 | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- zdravn | -.0315841 .0278754 -1.13 0.257 -.0862245 .0230562 grip | .2780881 .0143088 19.43 0.000 .2500405 .3061357 starr | .1413659 .0094825 14.91 0.000 .1227787 .1599531 gndr | .0709358 .0136041 5.21 0.000 .0442696 .0976019 edur2 | -.0327842 .0144345 -2.27 0.023 -.0610782 -.0044903 izkus | -.0112872 .0133369 -0.85 0.397 -.0374298 .0148553 medse | -.0151133 .0283352 -0.53 0.594 -.0706548 .0404283 studm | .022558 .0423059 0.53 0.594 -.0603684 .1054844 studd | .0188398 .0412876 0.46 0.648 -.0620905 .09977 fac1_1 | .801052 .007039 113.80 0.000 .7872543 .8148497 fac2_1 | -.1810298 .0065018 -27.84 0.000 -.1937744 -.1682853 fac3_1 | -.0594537 .0065979 -9.01 0.000 -.0723868 -.0465207 _cons | 2.323999 .020479 113.48 0.000 2.283856 2.364141 ------------------------------------------------------------------------------ (11,040 missing values generated) (11,040 missing values generated) (11,040 missing values generated) ------------------------------------------------------------------------------------ Effect | Mean [95% Conf. Interval] -------------------------------+---------------------------------------------------- ACME | .1145732 .1011428 .1288566 Direct Effect | -.0309875 -.0832208 .0237842 Total Effect | .0835858 .0322475 .1383219 % of Tot Eff mediated | 1.387062 .8283092 3.553043 ------------------------------------------------------------------------------------ . medeff (probit grip starr gndr edur2 izkus zdravn medse studm studd fac1_1 fac2_1 fac3_1) (regress q > 9 starr gndr edur2 grip izkus zdravn medse studm studd fac1_1 fac2_1 fac3_1), mediate(grip) treat(me > dse) Using 0 and 1 as treatment values Iteration 0: log likelihood = -8305.7272 Iteration 1: log likelihood = -7019.7185 Iteration 2: log likelihood = -6975.9385 Iteration 3: log likelihood = -6975.4272 Iteration 4: log likelihood = -6975.427 Probit regression Number of obs = 12040 LR chi2(11) = 2660.60 Prob > chi2 = 0.0000 Log likelihood = -6975.427 Pseudo R2 = 0.1602 ------------------------------------------------------------------------------ grip | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- medse | .4355806 .0539603 8.07 0.000 .3298203 .5413409 starr | .2039534 .0181036 11.27 0.000 .168471 .2394358 gndr | .1526916 .0259784 5.88 0.000 .101775 .2036082 edur2 | -.1880166 .0273955 -6.86 0.000 -.2417108 -.1343223 izkus | .0472533 .025449 1.86 0.063 -.0026258 .0971324 zdravn | 1.356338 .0689922 19.66 0.000 1.221116 1.49156 studm | 1.186788 .0953749 12.44 0.000 .9998566 1.373719 studd | .1799663 .0765779 2.35 0.019 .0298764 .3300561 fac1_1 | .4587913 .01372 33.44 0.000 .4319006 .4856821 fac2_1 | -.1137782 .012571 -9.05 0.000 -.138417 -.0891394 fac3_1 | -.045299 .0126634 -3.58 0.000 -.0701189 -.0204792 _cons | -.564493 .0380783 -14.82 0.000 -.6391251 -.4898609 ------------------------------------------------------------------------------ Source | SS df MS Number of obs = 12,040 -------------+---------------------------------- F(12, 12027) = 1658.41 Model | 9787.66595 12 815.638829 Prob > F = 0.0000 Residual | 5915.13106 12,027 .491820991 R-squared = 0.6233 -------------+---------------------------------- Adj R-squared = 0.6229 Total | 15702.797 12,039 1.30432735 Root MSE = .7013 ------------------------------------------------------------------------------ q9 | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- medse | -.0151133 .0283352 -0.53 0.594 -.0706548 .0404283 grip | .2780881 .0143088 19.43 0.000 .2500405 .3061357 starr | .1413659 .0094825 14.91 0.000 .1227787 .1599531 gndr | .0709358 .0136041 5.21 0.000 .0442696 .0976019 edur2 | -.0327842 .0144345 -2.27 0.023 -.0610782 -.0044903 izkus | -.0112872 .0133369 -0.85 0.397 -.0374298 .0148553 zdravn | -.0315841 .0278754 -1.13 0.257 -.0862245 .0230562 studm | .022558 .0423059 0.53 0.594 -.0603684 .1054844 studd | .0188398 .0412876 0.46 0.648 -.0620905 .09977 fac1_1 | .801052 .007039 113.80 0.000 .7872543 .8148497 fac2_1 | -.1810298 .0065018 -27.84 0.000 -.1937744 -.1682853 fac3_1 | -.0594537 .0065979 -9.01 0.000 -.0723868 -.0465207 _cons | 2.323999 .020479 113.48 0.000 2.283856 2.364141 ------------------------------------------------------------------------------ (11,040 missing values generated) (11,040 missing values generated) (11,040 missing values generated) ------------------------------------------------------------------------------------ Effect | Mean [95% Conf. Interval] -------------------------------+---------------------------------------------------- ACME | .0410209 .031682 .0508743 Direct Effect | -.0145068 -.0676016 .0411683 Total Effect | .0265141 -.0275917 .0831576 % of Tot Eff mediated | 1.007865 -15.92244 19.00823 ------------------------------------------------------------------------------------ . medeff (probit grip starr gndr edur2 izkus zdravn medse studm studd fac1_1 fac2_1 fac3_1) (regress q > 9 starr gndr edur2 grip izkus zdravn medse studm studd fac1_1 fac2_1 fac3_1), mediate(grip) treat(st > udm) Using 0 and 1 as treatment values Iteration 0: log likelihood = -8305.7272 Iteration 1: log likelihood = -7019.7185 Iteration 2: log likelihood = -6975.9385 Iteration 3: log likelihood = -6975.4272 Iteration 4: log likelihood = -6975.427 Probit regression Number of obs = 12040 LR chi2(11) = 2660.60 Prob > chi2 = 0.0000 Log likelihood = -6975.427 Pseudo R2 = 0.1602 ------------------------------------------------------------------------------ grip | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- studm | 1.186788 .0953749 12.44 0.000 .9998566 1.373719 starr | .2039534 .0181036 11.27 0.000 .168471 .2394358 gndr | .1526916 .0259784 5.88 0.000 .101775 .2036082 edur2 | -.1880166 .0273955 -6.86 0.000 -.2417108 -.1343223 izkus | .0472533 .025449 1.86 0.063 -.0026258 .0971324 zdravn | 1.356338 .0689922 19.66 0.000 1.221116 1.49156 medse | .4355806 .0539603 8.07 0.000 .3298203 .5413409 studd | .1799663 .0765779 2.35 0.019 .0298764 .3300561 fac1_1 | .4587913 .01372 33.44 0.000 .4319006 .4856821 fac2_1 | -.1137782 .012571 -9.05 0.000 -.138417 -.0891394 fac3_1 | -.045299 .0126634 -3.58 0.000 -.0701189 -.0204792 _cons | -.564493 .0380783 -14.82 0.000 -.6391251 -.4898609 ------------------------------------------------------------------------------ Source | SS df MS Number of obs = 12,040 -------------+---------------------------------- F(12, 12027) = 1658.41 Model | 9787.66595 12 815.638829 Prob > F = 0.0000 Residual | 5915.13106 12,027 .491820991 R-squared = 0.6233 -------------+---------------------------------- Adj R-squared = 0.6229 Total | 15702.797 12,039 1.30432735 Root MSE = .7013 ------------------------------------------------------------------------------ q9 | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- studm | .022558 .0423059 0.53 0.594 -.0603684 .1054844 grip | .2780881 .0143088 19.43 0.000 .2500405 .3061357 starr | .1413659 .0094825 14.91 0.000 .1227787 .1599531 gndr | .0709358 .0136041 5.21 0.000 .0442696 .0976019 edur2 | -.0327842 .0144345 -2.27 0.023 -.0610782 -.0044903 izkus | -.0112872 .0133369 -0.85 0.397 -.0374298 .0148553 zdravn | -.0315841 .0278754 -1.13 0.257 -.0862245 .0230562 medse | -.0151133 .0283352 -0.53 0.594 -.0706548 .0404283 studd | .0188398 .0412876 0.46 0.648 -.0620905 .09977 fac1_1 | .801052 .007039 113.80 0.000 .7872543 .8148497 fac2_1 | -.1810298 .0065018 -27.84 0.000 -.1937744 -.1682853 fac3_1 | -.0594537 .0065979 -9.01 0.000 -.0723868 -.0465207 _cons | 2.323999 .020479 113.48 0.000 2.283856 2.364141 ------------------------------------------------------------------------------ (11,040 missing values generated) (11,040 missing values generated) (11,040 missing values generated) ------------------------------------------------------------------------------------ Effect | Mean [95% Conf. Interval] -------------------------------+---------------------------------------------------- ACME | .1010469 .0859778 .1169939 Direct Effect | .0234635 -.0558098 .1065893 Total Effect | .1245104 .0448902 .2079308 % of Tot Eff mediated | .8145092 .4842383 2.219292 ------------------------------------------------------------------------------------ . medeff (probit grip starr gndr edur2 izkus zdravn medse studm studd fac1_1 fac2_1 fac3_1) (regress q > 9 starr gndr edur2 grip izkus zdravn medse studm studd fac1_1 fac2_1 fac3_1), mediate(grip) treat(st > udd) Using 0 and 1 as treatment values Iteration 0: log likelihood = -8305.7272 Iteration 1: log likelihood = -7019.7185 Iteration 2: log likelihood = -6975.9385 Iteration 3: log likelihood = -6975.4272 Iteration 4: log likelihood = -6975.427 Probit regression Number of obs = 12040 LR chi2(11) = 2660.60 Prob > chi2 = 0.0000 Log likelihood = -6975.427 Pseudo R2 = 0.1602 ------------------------------------------------------------------------------ grip | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- studd | .1799663 .0765779 2.35 0.019 .0298764 .3300561 starr | .2039534 .0181036 11.27 0.000 .168471 .2394358 gndr | .1526916 .0259784 5.88 0.000 .101775 .2036082 edur2 | -.1880166 .0273955 -6.86 0.000 -.2417108 -.1343223 izkus | .0472533 .025449 1.86 0.063 -.0026258 .0971324 zdravn | 1.356338 .0689922 19.66 0.000 1.221116 1.49156 medse | .4355806 .0539603 8.07 0.000 .3298203 .5413409 studm | 1.186788 .0953749 12.44 0.000 .9998566 1.373719 fac1_1 | .4587913 .01372 33.44 0.000 .4319006 .4856821 fac2_1 | -.1137782 .012571 -9.05 0.000 -.138417 -.0891394 fac3_1 | -.045299 .0126634 -3.58 0.000 -.0701189 -.0204792 _cons | -.564493 .0380783 -14.82 0.000 -.6391251 -.4898609 ------------------------------------------------------------------------------ Source | SS df MS Number of obs = 12,040 -------------+---------------------------------- F(12, 12027) = 1658.41 Model | 9787.66595 12 815.638829 Prob > F = 0.0000 Residual | 5915.13106 12,027 .491820991 R-squared = 0.6233 -------------+---------------------------------- Adj R-squared = 0.6229 Total | 15702.797 12,039 1.30432735 Root MSE = .7013 ------------------------------------------------------------------------------ q9 | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- studd | .0188398 .0412876 0.46 0.648 -.0620905 .09977 grip | .2780881 .0143088 19.43 0.000 .2500405 .3061357 starr | .1413659 .0094825 14.91 0.000 .1227787 .1599531 gndr | .0709358 .0136041 5.21 0.000 .0442696 .0976019 edur2 | -.0327842 .0144345 -2.27 0.023 -.0610782 -.0044903 izkus | -.0112872 .0133369 -0.85 0.397 -.0374298 .0148553 zdravn | -.0315841 .0278754 -1.13 0.257 -.0862245 .0230562 medse | -.0151133 .0283352 -0.53 0.594 -.0706548 .0404283 studm | .022558 .0423059 0.53 0.594 -.0603684 .1054844 fac1_1 | .801052 .007039 113.80 0.000 .7872543 .8148497 fac2_1 | -.1810298 .0065018 -27.84 0.000 -.1937744 -.1682853 fac3_1 | -.0594537 .0065979 -9.01 0.000 -.0723868 -.0465207 _cons | 2.323999 .020479 113.48 0.000 2.283856 2.364141 ------------------------------------------------------------------------------ (11,040 missing values generated) (11,040 missing values generated) (11,040 missing values generated) ------------------------------------------------------------------------------------ Effect | Mean [95% Conf. Interval] -------------------------------+---------------------------------------------------- ACME | .0180302 .0042823 .0316417 Direct Effect | .0197235 -.0576416 .1008483 Total Effect | .0377537 -.0421225 .118891 % of Tot Eff mediated | .3054702 -4.282546 5.507543 ------------------------------------------------------------------------------------ . medeff (probit grip starr gndr edur2 izkus zdravn medse studm studd fac1_1 fac2_1 fac3_1) (regress q > 9 starr gndr edur2 grip izkus zdravn medse studm studd fac1_1 fac2_1 fac3_1), mediate(grip) treat(fa > c1_1) Using 0 and 1 as treatment values Iteration 0: log likelihood = -8305.7272 Iteration 1: log likelihood = -7019.7185 Iteration 2: log likelihood = -6975.9385 Iteration 3: log likelihood = -6975.4272 Iteration 4: log likelihood = -6975.427 Probit regression Number of obs = 12040 LR chi2(11) = 2660.60 Prob > chi2 = 0.0000 Log likelihood = -6975.427 Pseudo R2 = 0.1602 ------------------------------------------------------------------------------ grip | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- fac1_1 | .4587913 .01372 33.44 0.000 .4319006 .4856821 starr | .2039534 .0181036 11.27 0.000 .168471 .2394358 gndr | .1526916 .0259784 5.88 0.000 .101775 .2036082 edur2 | -.1880166 .0273955 -6.86 0.000 -.2417108 -.1343223 izkus | .0472533 .025449 1.86 0.063 -.0026258 .0971324 zdravn | 1.356338 .0689922 19.66 0.000 1.221116 1.49156 medse | .4355806 .0539603 8.07 0.000 .3298203 .5413409 studm | 1.186788 .0953749 12.44 0.000 .9998566 1.373719 studd | .1799663 .0765779 2.35 0.019 .0298764 .3300561 fac2_1 | -.1137782 .012571 -9.05 0.000 -.138417 -.0891394 fac3_1 | -.045299 .0126634 -3.58 0.000 -.0701189 -.0204792 _cons | -.564493 .0380783 -14.82 0.000 -.6391251 -.4898609 ------------------------------------------------------------------------------ Source | SS df MS Number of obs = 12,040 -------------+---------------------------------- F(12, 12027) = 1658.41 Model | 9787.66595 12 815.638829 Prob > F = 0.0000 Residual | 5915.13106 12,027 .491820991 R-squared = 0.6233 -------------+---------------------------------- Adj R-squared = 0.6229 Total | 15702.797 12,039 1.30432735 Root MSE = .7013 ------------------------------------------------------------------------------ q9 | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- fac1_1 | .801052 .007039 113.80 0.000 .7872543 .8148497 grip | .2780881 .0143088 19.43 0.000 .2500405 .3061357 starr | .1413659 .0094825 14.91 0.000 .1227787 .1599531 gndr | .0709358 .0136041 5.21 0.000 .0442696 .0976019 edur2 | -.0327842 .0144345 -2.27 0.023 -.0610782 -.0044903 izkus | -.0112872 .0133369 -0.85 0.397 -.0374298 .0148553 zdravn | -.0315841 .0278754 -1.13 0.257 -.0862245 .0230562 medse | -.0151133 .0283352 -0.53 0.594 -.0706548 .0404283 studm | .022558 .0423059 0.53 0.594 -.0603684 .1054844 studd | .0188398 .0412876 0.46 0.648 -.0620905 .09977 fac2_1 | -.1810298 .0065018 -27.84 0.000 -.1937744 -.1682853 fac3_1 | -.0594537 .0065979 -9.01 0.000 -.0723868 -.0465207 _cons | 2.323999 .020479 113.48 0.000 2.283856 2.364141 ------------------------------------------------------------------------------ (11,040 missing values generated) (11,040 missing values generated) (11,040 missing values generated) ------------------------------------------------------------------------------------ Effect | Mean [95% Conf. Interval] -------------------------------+---------------------------------------------------- ACME | .0477432 .0424794 .0532489 Direct Effect | .8012027 .7880128 .8150335 Total Effect | .8489459 .8362485 .862491 % of Tot Eff mediated | .0562512 .055355 .0570921 ------------------------------------------------------------------------------------ . medeff (probit grip starr gndr edur2 izkus zdravn medse studm studd fac1_1 fac2_1 fac3_1) (regress q > 9 starr gndr edur2 grip izkus zdravn medse studm studd fac1_1 fac2_1 fac3_1), mediate(grip) treat(fa > c2_1) Using 0 and 1 as treatment values Iteration 0: log likelihood = -8305.7272 Iteration 1: log likelihood = -7019.7185 Iteration 2: log likelihood = -6975.9385 Iteration 3: log likelihood = -6975.4272 Iteration 4: log likelihood = -6975.427 Probit regression Number of obs = 12040 LR chi2(11) = 2660.60 Prob > chi2 = 0.0000 Log likelihood = -6975.427 Pseudo R2 = 0.1602 ------------------------------------------------------------------------------ grip | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- fac2_1 | -.1137782 .012571 -9.05 0.000 -.138417 -.0891394 starr | .2039534 .0181036 11.27 0.000 .168471 .2394358 gndr | .1526916 .0259784 5.88 0.000 .101775 .2036082 edur2 | -.1880166 .0273955 -6.86 0.000 -.2417108 -.1343223 izkus | .0472533 .025449 1.86 0.063 -.0026258 .0971324 zdravn | 1.356338 .0689922 19.66 0.000 1.221116 1.49156 medse | .4355806 .0539603 8.07 0.000 .3298203 .5413409 studm | 1.186788 .0953749 12.44 0.000 .9998566 1.373719 studd | .1799663 .0765779 2.35 0.019 .0298764 .3300561 fac1_1 | .4587913 .01372 33.44 0.000 .4319006 .4856821 fac3_1 | -.045299 .0126634 -3.58 0.000 -.0701189 -.0204792 _cons | -.564493 .0380783 -14.82 0.000 -.6391251 -.4898609 ------------------------------------------------------------------------------ Source | SS df MS Number of obs = 12,040 -------------+---------------------------------- F(12, 12027) = 1658.41 Model | 9787.66595 12 815.638829 Prob > F = 0.0000 Residual | 5915.13106 12,027 .491820991 R-squared = 0.6233 -------------+---------------------------------- Adj R-squared = 0.6229 Total | 15702.797 12,039 1.30432735 Root MSE = .7013 ------------------------------------------------------------------------------ q9 | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- fac2_1 | -.1810298 .0065018 -27.84 0.000 -.1937744 -.1682853 grip | .2780881 .0143088 19.43 0.000 .2500405 .3061357 starr | .1413659 .0094825 14.91 0.000 .1227787 .1599531 gndr | .0709358 .0136041 5.21 0.000 .0442696 .0976019 edur2 | -.0327842 .0144345 -2.27 0.023 -.0610782 -.0044903 izkus | -.0112872 .0133369 -0.85 0.397 -.0374298 .0148553 zdravn | -.0315841 .0278754 -1.13 0.257 -.0862245 .0230562 medse | -.0151133 .0283352 -0.53 0.594 -.0706548 .0404283 studm | .022558 .0423059 0.53 0.594 -.0603684 .1054844 studd | .0188398 .0412876 0.46 0.648 -.0620905 .09977 fac1_1 | .801052 .007039 113.80 0.000 .7872543 .8148497 fac3_1 | -.0594537 .0065979 -9.01 0.000 -.0723868 -.0465207 _cons | 2.323999 .020479 113.48 0.000 2.283856 2.364141 ------------------------------------------------------------------------------ (11,040 missing values generated) (11,040 missing values generated) (11,040 missing values generated) ------------------------------------------------------------------------------------ Effect | Mean [95% Conf. Interval] -------------------------------+---------------------------------------------------- ACME | -.009148 -.0116812 -.0067378 Direct Effect | -.1808906 -.1930738 -.1681155 Total Effect | -.1900387 -.2027145 -.1772188 % of Tot Eff mediated | .0481289 .0451276 .0516199 ------------------------------------------------------------------------------------ . medeff (probit grip starr gndr edur2 izkus zdravn medse studm studd fac1_1 fac2_1 fac3_1) (regress q > 9 starr gndr edur2 grip izkus zdravn medse studm studd fac1_1 fac2_1 fac3_1), mediate(grip) treat(fa > c3_1) Using 0 and 1 as treatment values Iteration 0: log likelihood = -8305.7272 Iteration 1: log likelihood = -7019.7185 Iteration 2: log likelihood = -6975.9385 Iteration 3: log likelihood = -6975.4272 Iteration 4: log likelihood = -6975.427 Probit regression Number of obs = 12040 LR chi2(11) = 2660.60 Prob > chi2 = 0.0000 Log likelihood = -6975.427 Pseudo R2 = 0.1602 ------------------------------------------------------------------------------ grip | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- fac3_1 | -.045299 .0126634 -3.58 0.000 -.0701189 -.0204792 starr | .2039534 .0181036 11.27 0.000 .168471 .2394358 gndr | .1526916 .0259784 5.88 0.000 .101775 .2036082 edur2 | -.1880166 .0273955 -6.86 0.000 -.2417108 -.1343223 izkus | .0472533 .025449 1.86 0.063 -.0026258 .0971324 zdravn | 1.356338 .0689922 19.66 0.000 1.221116 1.49156 medse | .4355806 .0539603 8.07 0.000 .3298203 .5413409 studm | 1.186788 .0953749 12.44 0.000 .9998566 1.373719 studd | .1799663 .0765779 2.35 0.019 .0298764 .3300561 fac1_1 | .4587913 .01372 33.44 0.000 .4319006 .4856821 fac2_1 | -.1137782 .012571 -9.05 0.000 -.138417 -.0891394 _cons | -.564493 .0380783 -14.82 0.000 -.6391251 -.4898609 ------------------------------------------------------------------------------ Source | SS df MS Number of obs = 12,040 -------------+---------------------------------- F(12, 12027) = 1658.41 Model | 9787.66595 12 815.638829 Prob > F = 0.0000 Residual | 5915.13106 12,027 .491820991 R-squared = 0.6233 -------------+---------------------------------- Adj R-squared = 0.6229 Total | 15702.797 12,039 1.30432735 Root MSE = .7013 ------------------------------------------------------------------------------ q9 | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- fac3_1 | -.0594537 .0065979 -9.01 0.000 -.0723868 -.0465207 grip | .2780881 .0143088 19.43 0.000 .2500405 .3061357 starr | .1413659 .0094825 14.91 0.000 .1227787 .1599531 gndr | .0709358 .0136041 5.21 0.000 .0442696 .0976019 edur2 | -.0327842 .0144345 -2.27 0.023 -.0610782 -.0044903 izkus | -.0112872 .0133369 -0.85 0.397 -.0374298 .0148553 zdravn | -.0315841 .0278754 -1.13 0.257 -.0862245 .0230562 medse | -.0151133 .0283352 -0.53 0.594 -.0706548 .0404283 studm | .022558 .0423059 0.53 0.594 -.0603684 .1054844 studd | .0188398 .0412876 0.46 0.648 -.0620905 .09977 fac1_1 | .801052 .007039 113.80 0.000 .7872543 .8148497 fac2_1 | -.1810298 .0065018 -27.84 0.000 -.1937744 -.1682853 _cons | 2.323999 .020479 113.48 0.000 2.283856 2.364141 ------------------------------------------------------------------------------ (11,040 missing values generated) (11,040 missing values generated) (11,040 missing values generated) ------------------------------------------------------------------------------------ Effect | Mean [95% Conf. Interval] -------------------------------+---------------------------------------------------- ACME | -.0032175 -.0054139 -.0010528 Direct Effect | -.0593125 -.0716758 -.0463484 Total Effect | -.0625301 -.075537 -.0495523 % of Tot Eff mediated | .0513114 .0425962 .0649322 ------------------------------------------------------------------------------------ . log close name: log: C:\Documents\MSS\Vse analize mediacij.log log type: text closed on: 9 Feb 2021, 14:58:20 ------------------------------------------------------------------------------------------------------