##
## ********************* 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
## ##
## Call:
## lm(formula = punishment ~ econ_dep, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.9587 -2.5851 -0.0247 2.1621 5.1621
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.95874 0.28909 20.612 <2e-16 ***
## econ_dep -0.18681 0.07921 -2.358 0.0191 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.081 on 273 degrees of freedom
## Multiple R-squared: 0.01997, Adjusted R-squared: 0.01638
## F-statistic: 5.562 on 1 and 273 DF, p-value: 0.01906Mediation analysis: econ_dep -> SES -> punishment
##
## ********************* 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 : punishment
## X : econ_dep
## M : SES
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SES
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.7558 0.5712 1.2802 363.7133 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8151 0.1062 45.3498 0.0000 4.6061 5.0242
## econ_dep -0.5548 0.0291 -19.0713 0.0000 -0.6121 -0.4976
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1450 0.0210 9.5148 2.9222 2.0000 272.0000 0.0555
##
## Model:
## coeff se t p LLCI ULCI
## constant 6.3915 0.8456 7.5588 0.0000 4.7268 8.0562
## econ_dep -0.2367 0.1211 -1.9540 0.0517 -0.4751 0.0018
## SES -0.0899 0.1650 -0.5447 0.5864 -0.4147 0.2350
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1413 0.0200 9.4903 5.5620 1.0000 273.0000 0.0191
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.9587 0.2891 20.6122 0.0000 5.3896 6.5279
## econ_dep -0.1868 0.0792 -2.3584 0.0191 -0.3427 -0.0309
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Total effect of X on Y:
## effect se t p LLCI ULCI
## -0.1868 0.0792 -2.3584 0.0191 -0.3427 -0.0309
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.2367 0.1211 -1.9540 0.0517 -0.4751 0.0018
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SES 0.0499 0.0899 -0.1297 0.2232
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SES 0.0499 0.0917 0.5437 0.5866
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: econ_dep -> SEImpairment -> punishment
##
## ********************* 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 : punishment
## X : econ_dep
## M : SEImpairment
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SEImpairment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1935 0.0374 2.9174 10.6167 1.0000 273.0000 0.0013
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.6480 0.1603 16.5209 0.0000 2.3325 2.9636
## econ_dep 0.1431 0.0439 3.2583 0.0013 0.0566 0.2296
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1521 0.0231 9.4943 3.2228 2.0000 272.0000 0.0414
##
## Model:
## coeff se t p LLCI ULCI
## constant 6.2309 0.4089 15.2383 0.0000 5.4259 7.0359
## econ_dep -0.1721 0.0808 -2.1312 0.0340 -0.3311 -0.0131
## SEImpairment -0.1028 0.1092 -0.9412 0.3474 -0.3177 0.1122
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1413 0.0200 9.4903 5.5620 1.0000 273.0000 0.0191
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.9587 0.2891 20.6122 0.0000 5.3896 6.5279
## econ_dep -0.1868 0.0792 -2.3584 0.0191 -0.3427 -0.0309
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Total effect of X on Y:
## effect se t p LLCI ULCI
## -0.1868 0.0792 -2.3584 0.0191 -0.3427 -0.0309
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.1721 0.0808 -2.1312 0.0340 -0.3311 -0.0131
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SEImpairment -0.0147 0.0174 -0.0521 0.0176
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SEImpairment -0.0147 0.0170 -0.8673 0.3858
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: econ_dep -> surprise -> punishment
##
## ********************* 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 : punishment
## X : econ_dep
## M : surprise
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: surprise
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2024 0.0410 4.3950 11.6570 1.0000 273.0000 0.0007
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.9365 0.1967 20.0095 0.0000 3.5492 4.3238
## econ_dep -0.1840 0.0539 -3.4142 0.0007 -0.2902 -0.0779
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1484 0.0220 9.5053 3.0616 2.0000 272.0000 0.0484
##
## Model:
## coeff se t p LLCI ULCI
## constant 6.2232 0.4544 13.6961 0.0000 5.3287 7.1178
## econ_dep -0.1992 0.0809 -2.4605 0.0145 -0.3585 -0.0398
## surprise -0.0672 0.0890 -0.7549 0.4509 -0.2424 0.1080
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1413 0.0200 9.4903 5.5620 1.0000 273.0000 0.0191
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.9587 0.2891 20.6122 0.0000 5.3896 6.5279
## econ_dep -0.1868 0.0792 -2.3584 0.0191 -0.3427 -0.0309
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Total effect of X on Y:
## effect se t p LLCI ULCI
## -0.1868 0.0792 -2.3584 0.0191 -0.3427 -0.0309
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.1992 0.0809 -2.4605 0.0145 -0.3585 -0.0398
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## surprise 0.0124 0.0186 -0.0236 0.0524
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## surprise 0.0124 0.0174 0.7087 0.4785
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: econ_dep -> sympathy -> punishment
##
## ********************* 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 : punishment
## X : econ_dep
## M : sympathy
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: sympathy
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2530 0.0640 2.7708 18.6759 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 1.8537 0.1562 11.8672 0.0000 1.5462 2.1612
## econ_dep 0.1850 0.0428 4.3216 0.0000 0.1007 0.2692
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3490 0.1218 8.5355 18.8611 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 7.0646 0.3375 20.9291 0.0000 6.4000 7.7291
## econ_dep -0.0765 0.0776 -0.9848 0.3256 -0.2293 0.0764
## sympathy -0.5966 0.1062 -5.6159 0.0000 -0.8057 -0.3874
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1413 0.0200 9.4903 5.5620 1.0000 273.0000 0.0191
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.9587 0.2891 20.6122 0.0000 5.3896 6.5279
## econ_dep -0.1868 0.0792 -2.3584 0.0191 -0.3427 -0.0309
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Total effect of X on Y:
## effect se t p LLCI ULCI
## -0.1868 0.0792 -2.3584 0.0191 -0.3427 -0.0309
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0765 0.0776 -0.9848 0.3256 -0.2293 0.0764
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## sympathy -0.1103 0.0333 -0.1819 -0.0504
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## sympathy -0.1103 0.0325 -3.3913 0.0007
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000SE1, SE2
Mediation analysis: econ_dep -> SE -> punishment
##
## ********************* 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 : punishment
## X : econ_dep
## M : SE
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SE
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1973 0.0389 1.6950 11.0598 1.0000 273.0000 0.0010
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.3222 0.1222 35.3783 0.0000 4.0817 4.5627
## econ_dep -0.1113 0.0335 -3.3256 0.0010 -0.1772 -0.0454
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3373 0.1138 8.6135 17.4583 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.7947 0.6509 4.2939 0.0000 1.5133 4.0760
## econ_dep -0.1053 0.0770 -1.3681 0.1724 -0.2569 0.0462
## SE 0.7320 0.1364 5.3655 0.0000 0.4634 1.0007
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1413 0.0200 9.4903 5.5620 1.0000 273.0000 0.0191
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.9587 0.2891 20.6122 0.0000 5.3896 6.5279
## econ_dep -0.1868 0.0792 -2.3584 0.0191 -0.3427 -0.0309
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Total effect of X on Y:
## effect se t p LLCI ULCI
## -0.1868 0.0792 -2.3584 0.0191 -0.3427 -0.0309
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.1053 0.0770 -1.3681 0.1724 -0.2569 0.0462
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SE -0.0815 0.0301 -0.1459 -0.0283
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SE -0.0815 0.0292 -2.7919 0.0052
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000SFC1, SFC2, SFC3, and SFC4
Mediation analysis: econ_dep -> SFC -> punishment
##
## ********************* 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 : punishment
## X : econ_dep
## M : SFC
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SFC
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2576 0.0663 1.3390 19.4004 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.1928 0.1086 38.6124 0.0000 3.9790 4.4066
## econ_dep -0.1310 0.0298 -4.4046 0.0000 -0.1896 -0.0725
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2656 0.0705 9.0337 10.3205 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.4232 0.7169 4.7748 0.0000 2.0118 4.8347
## econ_dep -0.1076 0.0800 -1.3448 0.1798 -0.2650 0.0499
## SFC 0.6047 0.1572 3.8468 0.0001 0.2952 0.9142
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1413 0.0200 9.4903 5.5620 1.0000 273.0000 0.0191
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.9587 0.2891 20.6122 0.0000 5.3896 6.5279
## econ_dep -0.1868 0.0792 -2.3584 0.0191 -0.3427 -0.0309
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Total effect of X on Y:
## effect se t p LLCI ULCI
## -0.1868 0.0792 -2.3584 0.0191 -0.3427 -0.0309
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.1076 0.0800 -1.3448 0.1798 -0.2650 0.0499
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SFC -0.0792 0.0282 -0.1396 -0.0310
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SFC -0.0792 0.0277 -2.8559 0.0043
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000SE3
Mediation analysis: econ_dep -> upbringing -> punishment
##
## ********************* 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 : punishment
## X : econ_dep
## M : upbringing
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: upbringing
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3325 0.1106 3.2166 33.9343 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.3797 0.1683 14.1396 0.0000 2.0484 2.7111
## econ_dep 0.2686 0.0461 5.8253 0.0000 0.1778 0.3594
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1643 0.0270 9.4568 3.7743 2.0000 272.0000 0.0242
##
## Model:
## coeff se t p LLCI ULCI
## constant 6.3051 0.3798 16.6002 0.0000 5.5573 7.0529
## econ_dep -0.1477 0.0838 -1.7618 0.0792 -0.3128 0.0173
## upbringing -0.1455 0.1038 -1.4025 0.1619 -0.3498 0.0588
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1413 0.0200 9.4903 5.5620 1.0000 273.0000 0.0191
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.9587 0.2891 20.6122 0.0000 5.3896 6.5279
## econ_dep -0.1868 0.0792 -2.3584 0.0191 -0.3427 -0.0309
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Total effect of X on Y:
## effect se t p LLCI ULCI
## -0.1868 0.0792 -2.3584 0.0191 -0.3427 -0.0309
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.1477 0.0838 -1.7618 0.0792 -0.3128 0.0173
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## upbringing -0.0391 0.0293 -0.0979 0.0192
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## upbringing -0.0391 0.0291 -1.3449 0.1787
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: econ_dep -> parallel -> punishment
##
## ********************* 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 : punishment
## X : econ_dep
## M1 : sympathy
## M2 : SE
## M3 : SFC
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: sympathy
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2530 0.0640 2.7708 18.6759 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 1.8537 0.1562 11.8672 0.0000 1.5462 2.1612
## econ_dep 0.1850 0.0428 4.3216 0.0000 0.1007 0.2692
##
## ***********************************************************************
## Outcome Variable: SE
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1973 0.0389 1.6950 11.0598 1.0000 273.0000 0.0010
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.3222 0.1222 35.3783 0.0000 4.0817 4.5627
## econ_dep -0.1113 0.0335 -3.3256 0.0010 -0.1772 -0.0454
##
## ***********************************************************************
## Outcome Variable: SFC
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2576 0.0663 1.3390 19.4004 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.1928 0.1086 38.6124 0.0000 3.9790 4.4066
## econ_dep -0.1310 0.0298 -4.4046 0.0000 -0.1896 -0.0725
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3941 0.1553 8.2702 12.4146 4.0000 270.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.5144 1.0636 4.2445 0.0000 2.4204 6.6084
## econ_dep -0.0520 0.0773 -0.6726 0.5018 -0.2042 0.1002
## sympathy -0.4162 0.1287 -3.2333 0.0014 -0.6696 -0.1628
## SE 0.4807 0.1563 3.0755 0.0023 0.1730 0.7884
## SFC 0.0329 0.1867 0.1765 0.8600 -0.3346 0.4005
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1413 0.0200 9.4903 5.5620 1.0000 273.0000 0.0191
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.9587 0.2891 20.6122 0.0000 5.3896 6.5279
## econ_dep -0.1868 0.0792 -2.3584 0.0191 -0.3427 -0.0309
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Total effect of X on Y:
## effect se t p LLCI ULCI
## -0.1868 0.0792 -2.3584 0.0191 -0.3427 -0.0309
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0520 0.0773 -0.6726 0.5018 -0.2042 0.1002
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## TOTAL -0.1348 0.0400 -0.2152 -0.0603
## sympathy -0.0770 0.0305 -0.1436 -0.0236
## SE -0.0535 0.0248 -0.1088 -0.0131
## SFC -0.0043 0.0246 -0.0519 0.0466
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## sympathy -0.0770 0.0302 -2.5456 0.0109
## SE -0.0535 0.0243 -2.2049 0.0275
## SFC -0.0043 0.0251 -0.1720 0.8634
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000