##
## ********************* PROCESS for R Version 4.1.1 *********************
##
## Written by Andrew F. Hayes, Ph.D. www.afhayes.com
## Documentation available in Hayes (2022). www.guilford.com/p/hayes3
##
## ***********************************************************************
##
## PROCESS is now ready for use.
## Copyright 2022 by Andrew F. Hayes ALL RIGHTS RESERVED
## Workshop schedule at http://haskayne.ucalgary.ca/CCRAM
## Mediation analysis: ses_origin_ -> punishment -> blame
##
## ********************* PROCESS for R Version 4.1.1 *********************
##
## Written by Andrew F. Hayes, Ph.D. www.afhayes.com
## Documentation available in Hayes (2022). www.guilford.com/p/hayes3
##
## ***********************************************************************
##
## Model : 4
## Y : blame
## X : ses_origin_
## M : punishment
##
## Sample size: 316
##
## Custom seed: 1234
##
## Coding of categorical X variable for analysis:
## ses_origin_ X1 X2
## 0.0000 0.0000 0.0000
## 1.0000 1.0000 0.0000
## 2.0000 0.0000 1.0000
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3714 0.1379 1.6745 25.0428 2.0000 313.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.2857 0.1263 26.0185 0.0000 3.0372 3.5342
## X1 0.9048 0.1786 5.0661 0.0000 0.5534 1.2562
## X2 1.2143 0.1782 6.8153 0.0000 0.8637 1.5648
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.6401 0.4098 0.9214 72.2021 3.0000 312.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.9249 0.1666 17.5571 0.0000 2.5971 3.2527
## X1 0.4609 0.1378 3.3447 0.0009 0.1898 0.7320
## X2 0.4333 0.1416 3.0592 0.0024 0.1546 0.7120
## punishment 0.5011 0.0419 11.9517 0.0000 0.4186 0.5836
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3736 0.1395 1.3389 25.3797 2.0000 313.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.5714 0.1129 40.4826 0.0000 4.3492 4.7936
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Relative total effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## Omnibus test of total effect of X on Y:
## R2-chng F df1 df2 p
## 0.1395 25.3797 2.0000 313.0000 0.0000
## ----------
##
## Relative direct effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.4609 0.1378 3.3447 0.0009 0.1898 0.7320
## X2 0.4333 0.1416 3.0592 0.0024 0.1546 0.7120
##
## Omnibus test of direct effect of X on Y:
## R2-chng F df1 df2 p
## 0.0252 6.6657 2.0000 312.0000 0.0015
##
## ----------
##
## Relative indirect effects of X on Y:
##
## ses_origin_ -> punishment -> blame
##
## Effect BootSE BootLLCI BootULCI
## X1 0.4534 0.1128 0.2495 0.6884
## X2 0.6085 0.1250 0.3749 0.8620
##
## Normal theory test for relative indirect effects:
## Effect se Z p
## X1 0.4534 0.0975 4.6506 0.0000
## X2 0.6085 0.1031 5.9048 0.0000
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: ses_origin_ -> surprise -> blame
##
## ********************* PROCESS for R Version 4.1.1 *********************
##
## Written by Andrew F. Hayes, Ph.D. www.afhayes.com
## Documentation available in Hayes (2022). www.guilford.com/p/hayes3
##
## ***********************************************************************
##
## Model : 4
## Y : blame
## X : ses_origin_
## M : surprise
##
## Sample size: 316
##
## Custom seed: 1234
##
## Coding of categorical X variable for analysis:
## ses_origin_ X1 X2
## 0.0000 0.0000 0.0000
## 1.0000 1.0000 0.0000
## 2.0000 0.0000 1.0000
##
## ***********************************************************************
## Outcome Variable: surprise
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4263 0.1818 2.9768 34.7673 2.0000 313.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.3524 0.1684 13.9709 0.0000 2.0211 2.6837
## X1 1.8952 0.2381 7.9591 0.0000 1.4267 2.3638
## X2 1.4589 0.2376 6.1414 0.0000 0.9915 1.9264
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4383 0.1921 1.2611 24.7346 3.0000 312.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.1814 0.1396 29.9432 0.0000 3.9066 4.4561
## X1 0.6000 0.1699 3.5307 0.0005 0.2656 0.9344
## X2 0.7999 0.1637 4.8870 0.0000 0.4778 1.1219
## surprise 0.1658 0.0368 4.5069 0.0000 0.0934 0.2382
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3736 0.1395 1.3389 25.3797 2.0000 313.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.5714 0.1129 40.4826 0.0000 4.3492 4.7936
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Relative total effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## Omnibus test of total effect of X on Y:
## R2-chng F df1 df2 p
## 0.1395 25.3797 2.0000 313.0000 0.0000
## ----------
##
## Relative direct effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.6000 0.1699 3.5307 0.0005 0.2656 0.9344
## X2 0.7999 0.1637 4.8870 0.0000 0.4778 1.1219
##
## Omnibus test of direct effect of X on Y:
## R2-chng F df1 df2 p
## 0.0641 12.3700 2.0000 312.0000 0.0000
##
## ----------
##
## Relative indirect effects of X on Y:
##
## ses_origin_ -> surprise -> blame
##
## Effect BootSE BootLLCI BootULCI
## X1 0.3142 0.0926 0.1486 0.5129
## X2 0.2419 0.0775 0.1088 0.4118
##
## Normal theory test for relative indirect effects:
## Effect se Z p
## X1 0.3142 0.0806 3.8986 0.0001
## X2 0.2419 0.0671 3.6026 0.0003
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: ses_origin_ -> sympathy -> blame
##
## ********************* PROCESS for R Version 4.1.1 *********************
##
## Written by Andrew F. Hayes, Ph.D. www.afhayes.com
## Documentation available in Hayes (2022). www.guilford.com/p/hayes3
##
## ***********************************************************************
##
## Model : 4
## Y : blame
## X : ses_origin_
## M : sympathy
##
## Sample size: 316
##
## Custom seed: 1234
##
## Coding of categorical X variable for analysis:
## ses_origin_ X1 X2
## 0.0000 0.0000 0.0000
## 1.0000 1.0000 0.0000
## 2.0000 0.0000 1.0000
##
## ***********************************************************************
## Outcome Variable: sympathy
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.6456 0.4169 2.2599 111.8762 2.0000 313.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.1905 0.1467 28.5639 0.0000 3.9018 4.4791
## X1 -2.0381 0.2075 -9.8234 0.0000 -2.4463 -1.6299
## X2 -3.0395 0.2070 -14.6849 0.0000 -3.4468 -2.6323
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.5304 0.2813 1.1219 40.7110 3.0000 312.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.8808 0.1963 29.9571 0.0000 5.4945 6.2670
## X1 0.2775 0.1672 1.6595 0.0980 -0.0515 0.6065
## X2 0.0921 0.1895 0.4857 0.6275 -0.2809 0.4650
## sympathy -0.3125 0.0398 -7.8456 0.0000 -0.3908 -0.2341
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3736 0.1395 1.3389 25.3797 2.0000 313.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.5714 0.1129 40.4826 0.0000 4.3492 4.7936
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Relative total effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## Omnibus test of total effect of X on Y:
## R2-chng F df1 df2 p
## 0.1395 25.3797 2.0000 313.0000 0.0000
## ----------
##
## Relative direct effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.2775 0.1672 1.6595 0.0980 -0.0515 0.6065
## X2 0.0921 0.1895 0.4857 0.6275 -0.2809 0.4650
##
## Omnibus test of direct effect of X on Y:
## R2-chng F df1 df2 p
## 0.0077 1.6747 2.0000 312.0000 0.1890
##
## ----------
##
## Relative indirect effects of X on Y:
##
## ses_origin_ -> sympathy -> blame
##
## Effect BootSE BootLLCI BootULCI
## X1 0.6368 0.1087 0.4402 0.8676
## X2 0.9497 0.1354 0.6991 1.2283
##
## Normal theory test for relative indirect effects:
## Effect se Z p
## X1 0.6368 0.1042 6.1111 0.0000
## X2 0.9497 0.1375 6.9075 0.0000
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: ses_origin_ -> character -> blame
##
## ********************* PROCESS for R Version 4.1.1 *********************
##
## Written by Andrew F. Hayes, Ph.D. www.afhayes.com
## Documentation available in Hayes (2022). www.guilford.com/p/hayes3
##
## ***********************************************************************
##
## Model : 4
## Y : blame
## X : ses_origin_
## M : character
##
## Sample size: 316
##
## Custom seed: 1234
##
## Coding of categorical X variable for analysis:
## ses_origin_ X1 X2
## 0.0000 0.0000 0.0000
## 1.0000 1.0000 0.0000
## 2.0000 0.0000 1.0000
##
## ***********************************************************************
## Outcome Variable: character
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3237 0.1048 1.2312 18.3180 2.0000 313.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.0095 0.1083 27.7927 0.0000 2.7965 3.2226
## X1 -0.4762 0.1531 -3.1096 0.0020 -0.7775 -0.1749
## X2 -0.9246 0.1528 -6.0521 0.0000 -1.2252 -0.6240
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4201 0.1765 1.2855 22.2906 3.0000 312.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.2219 0.2061 25.3427 0.0000 4.8165 5.6273
## X1 0.8114 0.1589 5.1068 0.0000 0.4988 1.1240
## X2 0.8419 0.1650 5.1029 0.0000 0.5173 1.1666
## character -0.2161 0.0578 -3.7422 0.0002 -0.3298 -0.1025
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3736 0.1395 1.3389 25.3797 2.0000 313.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.5714 0.1129 40.4826 0.0000 4.3492 4.7936
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Relative total effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## Omnibus test of total effect of X on Y:
## R2-chng F df1 df2 p
## 0.1395 25.3797 2.0000 313.0000 0.0000
## ----------
##
## Relative direct effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.8114 0.1589 5.1068 0.0000 0.4988 1.1240
## X2 0.8419 0.1650 5.1029 0.0000 0.5173 1.1666
##
## Omnibus test of direct effect of X on Y:
## R2-chng F df1 df2 p
## 0.0903 17.1097 2.0000 312.0000 0.0000
##
## ----------
##
## Relative indirect effects of X on Y:
##
## ses_origin_ -> character -> blame
##
## Effect BootSE BootLLCI BootULCI
## X1 0.1029 0.0459 0.0276 0.2076
## X2 0.1998 0.0715 0.0716 0.3556
##
## Normal theory test for relative indirect effects:
## Effect se Z p
## X1 0.1029 0.0439 2.3427 0.0191
## X2 0.1998 0.0634 3.1519 0.0016
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: ses_origin_ -> wrongness -> blame
##
## ********************* PROCESS for R Version 4.1.1 *********************
##
## Written by Andrew F. Hayes, Ph.D. www.afhayes.com
## Documentation available in Hayes (2022). www.guilford.com/p/hayes3
##
## ***********************************************************************
##
## Model : 4
## Y : blame
## X : ses_origin_
## M : wrongness
##
## Sample size: 316
##
## Custom seed: 1234
##
## Coding of categorical X variable for analysis:
## ses_origin_ X1 X2
## 0.0000 0.0000 0.0000
## 1.0000 1.0000 0.0000
## 2.0000 0.0000 1.0000
##
## ***********************************************************************
## Outcome Variable: wrongness
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2315 0.0536 1.5435 8.8612 2.0000 313.0000 0.0002
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.6762 0.1212 38.5688 0.0000 4.4376 4.9147
## X1 0.3714 0.1715 2.1662 0.0310 0.0341 0.7088
## X2 0.7200 0.1711 4.2093 0.0000 0.3835 1.0566
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.6286 0.3952 0.9442 67.9446 3.0000 312.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.1976 0.2274 9.6624 0.0000 1.7501 2.6451
## X1 0.7257 0.1351 5.3715 0.0000 0.4599 0.9916
## X2 0.6763 0.1375 4.9174 0.0000 0.4057 0.9469
## wrongness 0.5076 0.0442 11.4828 0.0000 0.4207 0.5946
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3736 0.1395 1.3389 25.3797 2.0000 313.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.5714 0.1129 40.4826 0.0000 4.3492 4.7936
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Relative total effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## Omnibus test of total effect of X on Y:
## R2-chng F df1 df2 p
## 0.1395 25.3797 2.0000 313.0000 0.0000
## ----------
##
## Relative direct effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.7257 0.1351 5.3715 0.0000 0.4599 0.9916
## X2 0.6763 0.1375 4.9174 0.0000 0.4057 0.9469
##
## Omnibus test of direct effect of X on Y:
## R2-chng F df1 df2 p
## 0.0683 17.6081 2.0000 312.0000 0.0000
##
## ----------
##
## Relative indirect effects of X on Y:
##
## ses_origin_ -> wrongness -> blame
##
## Effect BootSE BootLLCI BootULCI
## X1 0.1886 0.1033 0.0041 0.4058
## X2 0.3655 0.1098 0.1728 0.5971
##
## Normal theory test for relative indirect effects:
## Effect se Z p
## X1 0.1886 0.0889 2.1209 0.0339
## X2 0.3655 0.0928 3.9390 0.0001
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: ses_origin_ -> justification -> blame
##
## ********************* PROCESS for R Version 4.1.1 *********************
##
## Written by Andrew F. Hayes, Ph.D. www.afhayes.com
## Documentation available in Hayes (2022). www.guilford.com/p/hayes3
##
## ***********************************************************************
##
## Model : 4
## Y : blame
## X : ses_origin_
## M : justification
##
## Sample size: 316
##
## Custom seed: 1234
##
## Coding of categorical X variable for analysis:
## ses_origin_ X1 X2
## 0.0000 0.0000 0.0000
## 1.0000 1.0000 0.0000
## 2.0000 0.0000 1.0000
##
## ***********************************************************************
## Outcome Variable: justification
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2967 0.0880 2.1492 15.1025 2.0000 313.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 1.4762 0.1431 10.3182 0.0000 1.1947 1.7577
## X1 -0.5143 0.2023 -2.5418 0.0115 -0.9124 -0.1162
## X2 -1.1083 0.2018 -5.4905 0.0000 -1.5054 -0.7111
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.6530 0.4264 0.8955 77.2965 3.0000 312.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.2441 0.1069 49.0526 0.0000 5.0338 5.4545
## X1 0.6799 0.1319 5.1532 0.0000 0.4203 0.9395
## X2 0.5367 0.1364 3.9344 0.0001 0.2683 0.8052
## justification -0.4557 0.0365 -12.4898 0.0000 -0.5275 -0.3839
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3736 0.1395 1.3389 25.3797 2.0000 313.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.5714 0.1129 40.4826 0.0000 4.3492 4.7936
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Relative total effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## Omnibus test of total effect of X on Y:
## R2-chng F df1 df2 p
## 0.1395 25.3797 2.0000 313.0000 0.0000
## ----------
##
## Relative direct effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.6799 0.1319 5.1532 0.0000 0.4203 0.9395
## X2 0.5367 0.1364 3.9344 0.0001 0.2683 0.8052
##
## Omnibus test of direct effect of X on Y:
## R2-chng F df1 df2 p
## 0.0529 14.3863 2.0000 312.0000 0.0000
##
## ----------
##
## Relative indirect effects of X on Y:
##
## ses_origin_ -> justification -> blame
##
## Effect BootSE BootLLCI BootULCI
## X1 0.2344 0.1193 0.0288 0.4984
## X2 0.5050 0.1123 0.3006 0.7419
##
## Normal theory test for relative indirect effects:
## Effect se Z p
## X1 0.2344 0.0944 2.4832 0.0130
## X2 0.5050 0.1007 5.0129 0.0000
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: ses_origin_ -> reasons -> blame
##
## ********************* PROCESS for R Version 4.1.1 *********************
##
## Written by Andrew F. Hayes, Ph.D. www.afhayes.com
## Documentation available in Hayes (2022). www.guilford.com/p/hayes3
##
## ***********************************************************************
##
## Model : 4
## Y : blame
## X : ses_origin_
## M : reasons
##
## Sample size: 316
##
## Custom seed: 1234
##
## Coding of categorical X variable for analysis:
## ses_origin_ X1 X2
## 0.0000 0.0000 0.0000
## 1.0000 1.0000 0.0000
## 2.0000 0.0000 1.0000
##
## ***********************************************************************
## Outcome Variable: reasons
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3564 0.1270 2.4053 22.7730 2.0000 313.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 1.9429 0.1514 12.8366 0.0000 1.6451 2.2407
## X1 -1.0381 0.2140 -4.8499 0.0000 -1.4592 -0.6169
## X2 -1.3863 0.2135 -6.4918 0.0000 -1.8064 -0.9661
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.6190 0.3832 0.9629 64.6064 3.0000 312.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.3428 0.1183 45.1577 0.0000 5.1100 5.5756
## X1 0.5022 0.1404 3.5760 0.0004 0.2259 0.7785
## X2 0.4914 0.1439 3.4147 0.0007 0.2083 0.7746
## reasons -0.3970 0.0358 -11.1012 0.0000 -0.4674 -0.3266
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3736 0.1395 1.3389 25.3797 2.0000 313.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.5714 0.1129 40.4826 0.0000 4.3492 4.7936
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Relative total effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## Omnibus test of total effect of X on Y:
## R2-chng F df1 df2 p
## 0.1395 25.3797 2.0000 313.0000 0.0000
## ----------
##
## Relative direct effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.5022 0.1404 3.5760 0.0004 0.2259 0.7785
## X2 0.4914 0.1439 3.4147 0.0007 0.2083 0.7746
##
## Omnibus test of direct effect of X on Y:
## R2-chng F df1 df2 p
## 0.0313 7.9227 2.0000 312.0000 0.0004
##
## ----------
##
## Relative indirect effects of X on Y:
##
## ses_origin_ -> reasons -> blame
##
## Effect BootSE BootLLCI BootULCI
## X1 0.4121 0.1118 0.2147 0.6466
## X2 0.5504 0.1126 0.3482 0.7861
##
## Normal theory test for relative indirect effects:
## Effect se Z p
## X1 0.4121 0.0930 4.4292 0.0000
## X2 0.5504 0.0985 5.5870 0.0000
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: ses_origin_ -> guilt -> blame
##
## ********************* PROCESS for R Version 4.1.1 *********************
##
## Written by Andrew F. Hayes, Ph.D. www.afhayes.com
## Documentation available in Hayes (2022). www.guilford.com/p/hayes3
##
## ***********************************************************************
##
## Model : 4
## Y : blame
## X : ses_origin_
## M : guilt
##
## Sample size: 316
##
## Custom seed: 1234
##
## Coding of categorical X variable for analysis:
## ses_origin_ X1 X2
## 0.0000 0.0000 0.0000
## 1.0000 1.0000 0.0000
## 2.0000 0.0000 1.0000
##
## ***********************************************************************
## Outcome Variable: guilt
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2633 0.0693 1.9793 11.6589 2.0000 313.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.4667 0.1373 25.2492 0.0000 3.1965 3.7368
## X1 -0.5619 0.1942 -2.8939 0.0041 -0.9439 -0.1799
## X2 -0.9289 0.1937 -4.7955 0.0000 -1.3101 -0.5478
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4214 0.1776 1.2839 22.4518 3.0000 312.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1707 0.1927 26.8332 0.0000 4.7915 5.5498
## X1 0.8172 0.1585 5.1569 0.0000 0.5054 1.1289
## X2 0.8812 0.1616 5.4516 0.0000 0.5632 1.1992
## guilt -0.1729 0.0455 -3.7973 0.0002 -0.2624 -0.0833
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3736 0.1395 1.3389 25.3797 2.0000 313.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.5714 0.1129 40.4826 0.0000 4.3492 4.7936
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Relative total effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## Omnibus test of total effect of X on Y:
## R2-chng F df1 df2 p
## 0.1395 25.3797 2.0000 313.0000 0.0000
## ----------
##
## Relative direct effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.8172 0.1585 5.1569 0.0000 0.5054 1.1289
## X2 0.8812 0.1616 5.4516 0.0000 0.5632 1.1992
##
## Omnibus test of direct effect of X on Y:
## R2-chng F df1 df2 p
## 0.0978 18.5596 2.0000 312.0000 0.0000
##
## ----------
##
## Relative indirect effects of X on Y:
##
## ses_origin_ -> guilt -> blame
##
## Effect BootSE BootLLCI BootULCI
## X1 0.0971 0.0436 0.0266 0.1963
## X2 0.1606 0.0577 0.0620 0.2884
##
## Normal theory test for relative indirect effects:
## Effect se Z p
## X1 0.0971 0.0431 2.2528 0.0243
## X2 0.1606 0.0547 2.9380 0.0033
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: ses_origin_ -> emo_sup -> blame
##
## ********************* PROCESS for R Version 4.1.1 *********************
##
## Written by Andrew F. Hayes, Ph.D. www.afhayes.com
## Documentation available in Hayes (2022). www.guilford.com/p/hayes3
##
## ***********************************************************************
##
## Model : 4
## Y : blame
## X : ses_origin_
## M : emo_sup
##
## Sample size: 316
##
## Custom seed: 1234
##
## Coding of categorical X variable for analysis:
## ses_origin_ X1 X2
## 0.0000 0.0000 0.0000
## 1.0000 1.0000 0.0000
## 2.0000 0.0000 1.0000
##
## ***********************************************************************
## Outcome Variable: emo_sup
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3661 0.1340 1.7914 24.2241 2.0000 313.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.6381 0.1306 20.1972 0.0000 2.3811 2.8951
## X1 1.2857 0.1847 6.9603 0.0000 0.9223 1.6492
## X2 0.6355 0.1843 3.4484 0.0006 0.2729 0.9981
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3747 0.1404 1.3419 16.9844 3.0000 312.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.6429 0.1716 27.0612 0.0000 4.3053 4.9804
## X1 0.9491 0.1718 5.5244 0.0000 0.6111 1.2871
## X2 1.0590 0.1625 6.5169 0.0000 0.7393 1.3787
## emo_sup -0.0271 0.0489 -0.5535 0.5803 -0.1233 0.0692
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3736 0.1395 1.3389 25.3797 2.0000 313.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.5714 0.1129 40.4826 0.0000 4.3492 4.7936
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Relative total effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## Omnibus test of total effect of X on Y:
## R2-chng F df1 df2 p
## 0.1395 25.3797 2.0000 313.0000 0.0000
## ----------
##
## Relative direct effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.9491 0.1718 5.5244 0.0000 0.6111 1.2871
## X2 1.0590 0.1625 6.5169 0.0000 0.7393 1.3787
##
## Omnibus test of direct effect of X on Y:
## R2-chng F df1 df2 p
## 0.1336 24.2469 2.0000 312.0000 0.0000
##
## ----------
##
## Relative indirect effects of X on Y:
##
## ses_origin_ -> emo_sup -> blame
##
## Effect BootSE BootLLCI BootULCI
## X1 -0.0348 0.0640 -0.1719 0.0830
## X2 -0.0172 0.0335 -0.0945 0.0402
##
## Normal theory test for relative indirect effects:
## Effect se Z p
## X1 -0.0348 0.0637 -0.5462 0.5849
## X2 -0.0172 0.0328 -0.5254 0.5993
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: ses_origin_ -> abuse -> blame
##
## ********************* PROCESS for R Version 4.1.1 *********************
##
## Written by Andrew F. Hayes, Ph.D. www.afhayes.com
## Documentation available in Hayes (2022). www.guilford.com/p/hayes3
##
## ***********************************************************************
##
## Model : 4
## Y : blame
## X : ses_origin_
## M : abuse
##
## Sample size: 316
##
## Custom seed: 1234
##
## Coding of categorical X variable for analysis:
## ses_origin_ X1 X2
## 0.0000 0.0000 0.0000
## 1.0000 1.0000 0.0000
## 2.0000 0.0000 1.0000
##
## ***********************************************************************
## Outcome Variable: abuse
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3512 0.1234 2.1275 22.0249 2.0000 313.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.4857 0.1423 24.4878 0.0000 3.2056 3.7658
## X1 -1.3333 0.2013 -6.6234 0.0000 -1.7294 -0.9372
## X2 -0.7404 0.2008 -3.6868 0.0003 -1.1356 -0.3453
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3946 0.1557 1.3180 19.1766 3.0000 312.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.9502 0.1913 25.8747 0.0000 4.5738 5.3266
## X1 0.7694 0.1692 4.5477 0.0000 0.4365 1.1023
## X2 0.9613 0.1615 5.9537 0.0000 0.6436 1.2790
## abuse -0.1087 0.0445 -2.4424 0.0151 -0.1962 -0.0211
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3736 0.1395 1.3389 25.3797 2.0000 313.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.5714 0.1129 40.4826 0.0000 4.3492 4.7936
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Relative total effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## Omnibus test of total effect of X on Y:
## R2-chng F df1 df2 p
## 0.1395 25.3797 2.0000 313.0000 0.0000
## ----------
##
## Relative direct effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.7694 0.1692 4.5477 0.0000 0.4365 1.1023
## X2 0.9613 0.1615 5.9537 0.0000 0.6436 1.2790
##
## Omnibus test of direct effect of X on Y:
## R2-chng F df1 df2 p
## 0.1032 19.0611 2.0000 312.0000 0.0000
##
## ----------
##
## Relative indirect effects of X on Y:
##
## ses_origin_ -> abuse -> blame
##
## Effect BootSE BootLLCI BootULCI
## X1 0.1449 0.0665 0.0220 0.2839
## X2 0.0805 0.0397 0.0113 0.1661
##
## Normal theory test for relative indirect effects:
## Effect se Z p
## X1 0.1449 0.0639 2.2689 0.0233
## X2 0.0805 0.0405 1.9860 0.0470
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: ses_origin_ -> SFC -> blame
##
## ********************* PROCESS for R Version 4.1.1 *********************
##
## Written by Andrew F. Hayes, Ph.D. www.afhayes.com
## Documentation available in Hayes (2022). www.guilford.com/p/hayes3
##
## ***********************************************************************
##
## Model : 4
## Y : blame
## X : ses_origin_
## M : SFC
##
## Sample size: 316
##
## Custom seed: 1234
##
## Coding of categorical X variable for analysis:
## ses_origin_ X1 X2
## 0.0000 0.0000 0.0000
## 1.0000 1.0000 0.0000
## 2.0000 0.0000 1.0000
##
## ***********************************************************************
## Outcome Variable: SFC
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1856 0.0345 1.8593 5.5849 2.0000 313.0000 0.0041
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.6095 0.1331 27.1247 0.0000 3.3477 3.8714
## X1 0.5143 0.1882 2.7328 0.0066 0.1440 0.8846
## X2 0.5697 0.1877 3.0345 0.0026 0.2003 0.9391
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.5225 0.2730 1.1350 39.0447 3.0000 312.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.3653 0.1903 17.6836 0.0000 2.9909 3.7398
## X1 0.7424 0.1488 4.9904 0.0000 0.4497 1.0352
## X2 0.8514 0.1488 5.7208 0.0000 0.5586 1.1442
## SFC 0.3341 0.0442 7.5665 0.0000 0.2473 0.4210
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3736 0.1395 1.3389 25.3797 2.0000 313.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.5714 0.1129 40.4826 0.0000 4.3492 4.7936
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Relative total effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## Omnibus test of total effect of X on Y:
## R2-chng F df1 df2 p
## 0.1395 25.3797 2.0000 313.0000 0.0000
## ----------
##
## Relative direct effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.7424 0.1488 4.9904 0.0000 0.4497 1.0352
## X2 0.8514 0.1488 5.7208 0.0000 0.5586 1.1442
##
## Omnibus test of direct effect of X on Y:
## R2-chng F df1 df2 p
## 0.0896 19.2195 2.0000 312.0000 0.0000
##
## ----------
##
## Relative indirect effects of X on Y:
##
## ses_origin_ -> SFC -> blame
##
## Effect BootSE BootLLCI BootULCI
## X1 0.1718 0.0682 0.0504 0.3149
## X2 0.1904 0.0756 0.0564 0.3509
##
## Normal theory test for relative indirect effects:
## Effect se Z p
## X1 0.1718 0.0674 2.5506 0.0108
## X2 0.1904 0.0681 2.7955 0.0052
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: ses_origin_ -> SE -> blame
##
## ********************* PROCESS for R Version 4.1.1 *********************
##
## Written by Andrew F. Hayes, Ph.D. www.afhayes.com
## Documentation available in Hayes (2022). www.guilford.com/p/hayes3
##
## ***********************************************************************
##
## Model : 4
## Y : blame
## X : ses_origin_
## M : SE
##
## Sample size: 316
##
## Custom seed: 1234
##
## Coding of categorical X variable for analysis:
## ses_origin_ X1 X2
## 0.0000 0.0000 0.0000
## 1.0000 1.0000 0.0000
## 2.0000 0.0000 1.0000
##
## ***********************************************************************
## Outcome Variable: SE
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2811 0.0790 1.6829 13.4253 2.0000 313.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.9143 0.1266 23.0195 0.0000 2.6652 3.1634
## X1 0.4476 0.1790 2.5001 0.0129 0.0953 0.7999
## X2 0.9253 0.1786 5.1806 0.0000 0.5739 1.2768
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4984 0.2484 1.1733 34.3699 3.0000 312.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.6469 0.1735 21.0231 0.0000 3.3056 3.9882
## X1 0.7723 0.1510 5.1151 0.0000 0.4752 1.0693
## X2 0.7482 0.1554 4.8147 0.0000 0.4424 1.0540
## SE 0.3172 0.0472 6.7220 0.0000 0.2244 0.4101
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3736 0.1395 1.3389 25.3797 2.0000 313.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.5714 0.1129 40.4826 0.0000 4.3492 4.7936
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Relative total effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## Omnibus test of total effect of X on Y:
## R2-chng F df1 df2 p
## 0.1395 25.3797 2.0000 313.0000 0.0000
## ----------
##
## Relative direct effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.7723 0.1510 5.1151 0.0000 0.4752 1.0693
## X2 0.7482 0.1554 4.8147 0.0000 0.4424 1.0540
##
## Omnibus test of direct effect of X on Y:
## R2-chng F df1 df2 p
## 0.0786 16.3112 2.0000 312.0000 0.0000
##
## ----------
##
## Relative indirect effects of X on Y:
##
## ses_origin_ -> SE -> blame
##
## Effect BootSE BootLLCI BootULCI
## X1 0.1420 0.0641 0.0262 0.2790
## X2 0.2936 0.0784 0.1577 0.4632
##
## Normal theory test for relative indirect effects:
## Effect se Z p
## X1 0.1420 0.0612 2.3208 0.0203
## X2 0.2936 0.0720 4.0751 0.0000
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: ses_origin_ -> circum -> blame
##
## ********************* PROCESS for R Version 4.1.1 *********************
##
## Written by Andrew F. Hayes, Ph.D. www.afhayes.com
## Documentation available in Hayes (2022). www.guilford.com/p/hayes3
##
## ***********************************************************************
##
## Model : 4
## Y : blame
## X : ses_origin_
## M : circum
##
## Sample size: 316
##
## Custom seed: 1234
##
## Coding of categorical X variable for analysis:
## ses_origin_ X1 X2
## 0.0000 0.0000 0.0000
## 1.0000 1.0000 0.0000
## 2.0000 0.0000 1.0000
##
## ***********************************************************************
## Outcome Variable: circum
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3373 0.1138 1.9615 20.0875 2.0000 313.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.2000 0.1367 30.7293 0.0000 3.9311 4.4689
## X1 -1.2000 0.1933 -6.2083 0.0000 -1.5803 -0.8197
## X2 -0.8132 0.1928 -4.2171 0.0000 -1.1926 -0.4338
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3779 0.1428 1.3382 17.3230 3.0000 312.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.7845 0.2263 21.1461 0.0000 4.3393 5.2297
## X1 0.8534 0.1692 5.0440 0.0000 0.5205 1.1863
## X2 1.0005 0.1637 6.1106 0.0000 0.6784 1.3227
## circum -0.0507 0.0467 -1.0865 0.2781 -0.1426 0.0411
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3736 0.1395 1.3389 25.3797 2.0000 313.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.5714 0.1129 40.4826 0.0000 4.3492 4.7936
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Relative total effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.9143 0.1597 5.7251 0.0000 0.6001 1.2285
## X2 1.0418 0.1593 6.5389 0.0000 0.7283 1.3553
##
## Omnibus test of total effect of X on Y:
## R2-chng F df1 df2 p
## 0.1395 25.3797 2.0000 313.0000 0.0000
## ----------
##
## Relative direct effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.8534 0.1692 5.0440 0.0000 0.5205 1.1863
## X2 1.0005 0.1637 6.1106 0.0000 0.6784 1.3227
##
## Omnibus test of direct effect of X on Y:
## R2-chng F df1 df2 p
## 0.1146 20.8548 2.0000 312.0000 0.0000
##
## ----------
##
## Relative indirect effects of X on Y:
##
## ses_origin_ -> circum -> blame
##
## Effect BootSE BootLLCI BootULCI
## X1 0.0609 0.0498 -0.0340 0.1626
## X2 0.0412 0.0341 -0.0234 0.1131
##
## Normal theory test for relative indirect effects:
## Effect se Z p
## X1 0.0609 0.0576 1.0570 0.2905
## X2 0.0412 0.0402 1.0254 0.3052
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000