##
## ********************* 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_sec_check, 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) 5.03410 0.27094 18.580 <2e-16 ***
## emo_sec_check 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_sec_check -> 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_sec_check
## 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 2.5134 0.1381 18.1990 0.0000 2.2416 2.7853
## emo_sec_check 0.2690 0.0360 7.4785 0.0000 0.1982 0.3398
##
## ***********************************************************************
## 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 4.8445 0.4035 12.0055 0.0000 4.0500 5.6389
## emo_sec_check 0.1239 0.0775 1.5985 0.1111 -0.0287 0.2766
## 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 5.0341 0.2709 18.5799 0.0000 4.5007 5.5675
## emo_sec_check 0.1442 0.0706 2.0441 0.0419 0.0053 0.2831
##
## ***********************************************************************
## 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 0.0053 0.2831
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1239 0.0775 1.5985 0.1111 -0.0287 0.2766
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SES 0.0203 0.0350 -0.0507 0.0891
##
## 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_sec_check -> 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_sec_check
## 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 4.6390 0.0759 61.1435 0.0000 4.4896 4.7884
## emo_sec_check -0.5704 0.0198 -28.8679 0.0000 -0.6093 -0.5315
##
## ***********************************************************************
## 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 4.2316 1.0393 4.0716 0.0001 2.1855 6.2777
## emo_sec_check 0.2429 0.1421 1.7089 0.0886 -0.0369 0.5227
## 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 5.0341 0.2709 18.5799 0.0000 4.5007 5.5675
## emo_sec_check 0.1442 0.0706 2.0441 0.0419 0.0053 0.2831
##
## ***********************************************************************
## 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 0.0053 0.2831
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.2429 0.1421 1.7089 0.0886 -0.0369 0.5227
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SEImpairment -0.0987 0.1290 -0.3393 0.1678
##
## 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_sec_check -> 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_sec_check
## 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 2.0148 0.1467 13.7323 0.0000 1.7259 2.3036
## emo_sec_check 0.5045 0.0382 13.2035 0.0000 0.4293 0.5797
##
## ***********************************************************************
## 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 5.4775 0.3504 15.6303 0.0000 4.7875 6.1674
## emo_sec_check 0.2552 0.0898 2.8410 0.0048 0.0784 0.4321
## 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 5.0341 0.2709 18.5799 0.0000 4.5007 5.5675
## emo_sec_check 0.1442 0.0706 2.0441 0.0419 0.0053 0.2831
##
## ***********************************************************************
## 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 0.0053 0.2831
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.2552 0.0898 2.8410 0.0048 0.0784 0.4321
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## surprise -0.1110 0.0584 -0.2276 0.0025
##
## 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_sec_check -> 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_sec_check
## 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 3.2029 0.1341 23.8872 0.0000 2.9389 3.4669
## emo_sec_check -0.2983 0.0349 -8.5430 0.0000 -0.3671 -0.2296
##
## ***********************************************************************
## 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 7.1491 0.4510 15.8530 0.0000 6.2613 8.0369
## emo_sec_check -0.0528 0.0752 -0.7014 0.4837 -0.2008 0.0953
## 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 5.0341 0.2709 18.5799 0.0000 4.5007 5.5675
## emo_sec_check 0.1442 0.0706 2.0441 0.0419 0.0053 0.2831
##
## ***********************************************************************
## 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 0.0053 0.2831
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0528 0.0752 -0.7014 0.4837 -0.2008 0.0953
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## sympathy 0.1970 0.0433 0.1173 0.2870
##
## 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_sec_check -> 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_sec_check
## 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 3.7166 0.1139 32.6308 0.0000 3.4924 3.9409
## emo_sec_check 0.1055 0.0297 3.5571 0.0004 0.0471 0.1639
##
## ***********************************************************************
## 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 2.2795 0.5710 3.9923 0.0001 1.1554 3.4036
## emo_sec_check 0.0660 0.0687 0.9610 0.3374 -0.0692 0.2013
## 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 5.0341 0.2709 18.5799 0.0000 4.5007 5.5675
## emo_sec_check 0.1442 0.0706 2.0441 0.0419 0.0053 0.2831
##
## ***********************************************************************
## 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 0.0053 0.2831
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0660 0.0687 0.9610 0.3374 -0.0692 0.2013
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SE 0.0782 0.0315 0.0261 0.1493
##
## 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_sec_check -> 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_sec_check
## 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 3.1244 0.0873 35.7994 0.0000 2.9526 3.2962
## emo_sec_check 0.2517 0.0227 11.0740 0.0000 0.2069 0.2964
##
## ***********************************************************************
## 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 2.8536 0.6312 4.5212 0.0000 1.6110 4.0962
## emo_sec_check -0.0314 0.0829 -0.3789 0.7050 -0.1947 0.1318
## 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 5.0341 0.2709 18.5799 0.0000 4.5007 5.5675
## emo_sec_check 0.1442 0.0706 2.0441 0.0419 0.0053 0.2831
##
## ***********************************************************************
## 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 0.0053 0.2831
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0314 0.0829 -0.3789 0.7050 -0.1947 0.1318
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SFC 0.1757 0.0470 0.0857 0.2714
##
## 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_sec_check -> 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_sec_check
## 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 4.5670 0.1163 39.2830 0.0000 4.3381 4.7959
## emo_sec_check -0.5149 0.0303 -17.0066 0.0000 -0.5745 -0.4553
##
## ***********************************************************************
## 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 5.6194 0.6991 8.0385 0.0000 4.2432 6.9957
## emo_sec_check 0.0782 0.1013 0.7724 0.4405 -0.1212 0.2777
## 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 5.0341 0.2709 18.5799 0.0000 4.5007 5.5675
## emo_sec_check 0.1442 0.0706 2.0441 0.0419 0.0053 0.2831
##
## ***********************************************************************
## 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 0.0053 0.2831
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0782 0.1013 0.7724 0.4405 -0.1212 0.2777
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## upbringing 0.0660 0.0796 -0.0832 0.2256
##
## 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_sec_check -> 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_sec_check
## 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 3.2029 0.1341 23.8872 0.0000 2.9389 3.4669
## emo_sec_check -0.2983 0.0349 -8.5430 0.0000 -0.3671 -0.2296
##
## ***********************************************************************
## 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 3.7166 0.1139 32.6308 0.0000 3.4924 3.9409
## emo_sec_check 0.1055 0.0297 3.5571 0.0004 0.0471 0.1639
##
## ***********************************************************************
## 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 3.1244 0.0873 35.7994 0.0000 2.9526 3.2962
## emo_sec_check 0.2517 0.0227 11.0740 0.0000 0.2069 0.2964
##
## ***********************************************************************
## 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 4.3692 1.0219 4.2753 0.0000 2.3572 6.3812
## emo_sec_check -0.0718 0.0818 -0.8783 0.3806 -0.2328 0.0892
## 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 5.0341 0.2709 18.5799 0.0000 4.5007 5.5675
## emo_sec_check 0.1442 0.0706 2.0441 0.0419 0.0053 0.2831
##
## ***********************************************************************
## 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 0.0053 0.2831
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0718 0.0818 -0.8783 0.3806 -0.2328 0.0892
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## TOTAL 0.2160 0.0526 0.1152 0.3228
## sympathy 0.1355 0.0455 0.0518 0.2306
## SE 0.0491 0.0267 0.0097 0.1134
## SFC 0.0315 0.0471 -0.0635 0.1226
##
## 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