##
## ********************* 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 ~ emo_dep, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.6110 -2.8995 -0.0341 2.2448 4.9659
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.89947 0.29328 20.116 <2e-16 ***
## emo_dep -0.14423 0.07056 -2.044 0.0419 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.088 on 273 degrees of freedom
## Multiple R-squared: 0.01507, Adjusted R-squared: 0.01147
## F-statistic: 4.178 on 1 and 273 DF, p-value: 0.0419Mediation analysis: emo_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 : emo_dep
## M : SES
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SES
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4123 0.1700 2.4782 55.9285 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.1273 0.1495 27.6087 0.0000 3.8330 4.4216
## emo_dep -0.2690 0.0360 -7.4785 0.0000 -0.3398 -0.1982
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1286 0.0165 9.5586 2.2861 2.0000 272.0000 0.1036
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.5881 0.5717 9.7740 0.0000 4.4625 6.7136
## emo_dep -0.1239 0.0775 -1.5985 0.1111 -0.2766 0.0287
## SES 0.0754 0.1189 0.6347 0.5261 -0.1586 0.3095
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1228 0.0151 9.5377 4.1784 1.0000 273.0000 0.0419
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.8995 0.2933 20.1158 0.0000 5.3221 6.4768
## emo_dep -0.1442 0.0706 -2.0441 0.0419 -0.2831 -0.0053
##
## ***********************************************************************
## 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
## -0.1442 0.0706 -2.0441 0.0419 -0.2831 -0.0053
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.1239 0.0775 -1.5985 0.1111 -0.2766 0.0287
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SES -0.0203 0.0350 -0.0891 0.0507
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SES -0.0203 0.0324 -0.6269 0.5307
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: emo_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 : emo_dep
## M : SEImpairment
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SEImpairment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.8679 0.7532 0.7479 833.3532 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 1.2168 0.0821 14.8161 0.0000 1.0551 1.3784
## emo_dep 0.5704 0.0198 28.8679 0.0000 0.5315 0.6093
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1319 0.0174 9.5503 2.4063 2.0000 272.0000 0.0921
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.6890 0.3942 14.4326 0.0000 4.9130 6.4650
## emo_dep -0.2429 0.1421 -1.7089 0.0886 -0.5227 0.0369
## SEImpairment 0.1730 0.2163 0.7998 0.4245 -0.2528 0.5988
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1228 0.0151 9.5377 4.1784 1.0000 273.0000 0.0419
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.8995 0.2933 20.1158 0.0000 5.3221 6.4768
## emo_dep -0.1442 0.0706 -2.0441 0.0419 -0.2831 -0.0053
##
## ***********************************************************************
## 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
## -0.1442 0.0706 -2.0441 0.0419 -0.2831 -0.0053
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.2429 0.1421 -1.7089 0.0886 -0.5227 0.0369
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SEImpairment 0.0987 0.1290 -0.1678 0.3393
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SEImpairment 0.0987 0.1235 0.7990 0.4243
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: emo_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 : emo_dep
## M : surprise
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: surprise
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.6243 0.3897 2.7967 174.3330 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.0417 0.1588 31.7463 0.0000 4.7290 5.3543
## emo_dep -0.5045 0.0382 -13.2035 0.0000 -0.5797 -0.4293
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1705 0.0291 9.4368 4.0704 2.0000 272.0000 0.0181
##
## Model:
## coeff se t p LLCI ULCI
## constant 7.0089 0.6319 11.0922 0.0000 5.7649 8.2529
## emo_dep -0.2552 0.0898 -2.8410 0.0048 -0.4321 -0.0784
## surprise -0.2201 0.1112 -1.9793 0.0488 -0.4389 -0.0012
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1228 0.0151 9.5377 4.1784 1.0000 273.0000 0.0419
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.8995 0.2933 20.1158 0.0000 5.3221 6.4768
## emo_dep -0.1442 0.0706 -2.0441 0.0419 -0.2831 -0.0053
##
## ***********************************************************************
## 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
## -0.1442 0.0706 -2.0441 0.0419 -0.2831 -0.0053
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.2552 0.0898 -2.8410 0.0048 -0.4321 -0.0784
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## surprise 0.1110 0.0584 -0.0025 0.2276
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## surprise 0.1110 0.0569 1.9520 0.0509
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: emo_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 : emo_dep
## M : sympathy
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: sympathy
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4593 0.2109 2.3359 72.9835 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 1.4131 0.1451 9.7361 0.0000 1.1273 1.6988
## emo_dep 0.2983 0.0349 8.5430 0.0000 0.2296 0.3671
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3468 0.1203 8.5505 18.5899 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 6.8326 0.3223 21.1989 0.0000 6.1980 7.4671
## emo_dep 0.0528 0.0752 0.7014 0.4837 -0.0953 0.2008
## sympathy -0.6603 0.1158 -5.7026 0.0000 -0.8883 -0.4324
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1228 0.0151 9.5377 4.1784 1.0000 273.0000 0.0419
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.8995 0.2933 20.1158 0.0000 5.3221 6.4768
## emo_dep -0.1442 0.0706 -2.0441 0.0419 -0.2831 -0.0053
##
## ***********************************************************************
## 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
## -0.1442 0.0706 -2.0441 0.0419 -0.2831 -0.0053
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0528 0.0752 0.7014 0.4837 -0.0953 0.2008
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## sympathy -0.1970 0.0433 -0.2870 -0.1173
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## sympathy -0.1970 0.0417 -4.7206 0.0000
##
## ******************** 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: emo_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 : emo_dep
## M : SE
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SE
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2105 0.0443 1.6855 12.6533 1.0000 273.0000 0.0004
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.3497 0.1233 35.2809 0.0000 4.1070 4.5924
## emo_dep -0.1055 0.0297 -3.5571 0.0004 -0.1639 -0.0471
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3327 0.1107 8.6435 16.9270 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.6757 0.6583 4.0646 0.0001 1.3797 3.9716
## emo_dep -0.0660 0.0687 -0.9610 0.3374 -0.2013 0.0692
## SE 0.7412 0.1371 5.4077 0.0000 0.4713 1.0110
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1228 0.0151 9.5377 4.1784 1.0000 273.0000 0.0419
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.8995 0.2933 20.1158 0.0000 5.3221 6.4768
## emo_dep -0.1442 0.0706 -2.0441 0.0419 -0.2831 -0.0053
##
## ***********************************************************************
## 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
## -0.1442 0.0706 -2.0441 0.0419 -0.2831 -0.0053
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0660 0.0687 -0.9610 0.3374 -0.2013 0.0692
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SE -0.0782 0.0315 -0.1493 -0.0261
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SE -0.0782 0.0266 -2.9370 0.0033
##
## ******************** 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: emo_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 : emo_dep
## M : SFC
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SFC
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.5567 0.3100 0.9896 122.6345 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.6345 0.0945 49.0590 0.0000 4.4485 4.8205
## emo_dep -0.2517 0.0227 -11.0740 0.0000 -0.2964 -0.2069
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2547 0.0648 9.0890 9.4308 2.0000 272.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.6651 0.8970 2.9712 0.0032 0.8992 4.4310
## emo_dep 0.0314 0.0829 0.3789 0.7050 -0.1318 0.1947
## SFC 0.6979 0.1834 3.8049 0.0002 0.3368 1.0590
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1228 0.0151 9.5377 4.1784 1.0000 273.0000 0.0419
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.8995 0.2933 20.1158 0.0000 5.3221 6.4768
## emo_dep -0.1442 0.0706 -2.0441 0.0419 -0.2831 -0.0053
##
## ***********************************************************************
## 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
## -0.1442 0.0706 -2.0441 0.0419 -0.2831 -0.0053
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0314 0.0829 0.3789 0.7050 -0.1318 0.1947
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SFC -0.1757 0.0470 -0.2714 -0.0857
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SFC -0.1757 0.0490 -3.5853 0.0003
##
## ******************** 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: emo_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 : emo_dep
## M : upbringing
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: upbringing
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.7172 0.5144 1.7560 289.2258 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 1.4776 0.1258 11.7422 0.0000 1.2299 1.7254
## emo_dep 0.5149 0.0303 17.0066 0.0000 0.4553 0.5745
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1344 0.0181 9.5438 2.5004 2.0000 272.0000 0.0839
##
## Model:
## coeff se t p LLCI ULCI
## constant 6.0888 0.3599 16.9178 0.0000 5.3803 6.7974
## emo_dep -0.0782 0.1013 -0.7724 0.4405 -0.2777 0.1212
## upbringing -0.1282 0.1411 -0.9083 0.3645 -0.4059 0.1496
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1228 0.0151 9.5377 4.1784 1.0000 273.0000 0.0419
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.8995 0.2933 20.1158 0.0000 5.3221 6.4768
## emo_dep -0.1442 0.0706 -2.0441 0.0419 -0.2831 -0.0053
##
## ***********************************************************************
## 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
## -0.1442 0.0706 -2.0441 0.0419 -0.2831 -0.0053
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0782 0.1013 -0.7724 0.4405 -0.2777 0.1212
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## upbringing -0.0660 0.0796 -0.2256 0.0832
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## upbringing -0.0660 0.0729 -0.9055 0.3652
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: emo_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 : emo_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
## 0.4593 0.2109 2.3359 72.9835 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 1.4131 0.1451 9.7361 0.0000 1.1273 1.6988
## emo_dep 0.2983 0.0349 8.5430 0.0000 0.2296 0.3671
##
## ***********************************************************************
## Outcome Variable: SE
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2105 0.0443 1.6855 12.6533 1.0000 273.0000 0.0004
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.3497 0.1233 35.2809 0.0000 4.1070 4.5924
## emo_dep -0.1055 0.0297 -3.5571 0.0004 -0.1639 -0.0471
##
## ***********************************************************************
## Outcome Variable: SFC
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.5567 0.3100 0.9896 122.6345 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.6345 0.0945 49.0590 0.0000 4.4485 4.8205
## emo_dep -0.2517 0.0227 -11.0740 0.0000 -0.2964 -0.2069
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3954 0.1563 8.2605 12.5088 4.0000 270.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.9383 1.1055 3.5623 0.0004 1.7617 6.1149
## emo_dep 0.0718 0.0818 0.8783 0.3806 -0.0892 0.2328
## sympathy -0.4542 0.1317 -3.4488 0.0007 -0.7134 -0.1949
## SE 0.4652 0.1578 2.9479 0.0035 0.1545 0.7758
## SFC 0.1251 0.2048 0.6106 0.5419 -0.2782 0.5283
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1228 0.0151 9.5377 4.1784 1.0000 273.0000 0.0419
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.8995 0.2933 20.1158 0.0000 5.3221 6.4768
## emo_dep -0.1442 0.0706 -2.0441 0.0419 -0.2831 -0.0053
##
## ***********************************************************************
## 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
## -0.1442 0.0706 -2.0441 0.0419 -0.2831 -0.0053
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0718 0.0818 0.8783 0.3806 -0.0892 0.2328
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## TOTAL -0.2160 0.0526 -0.3228 -0.1152
## sympathy -0.1355 0.0455 -0.2306 -0.0518
## SE -0.0491 0.0267 -0.1134 -0.0097
## SFC -0.0315 0.0471 -0.1226 0.0635
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## sympathy -0.1355 0.0426 -3.1794 0.0015
## SE -0.0491 0.0221 -2.2184 0.0265
## SFC -0.0315 0.0518 -0.6073 0.5437
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000