##
## ********************* 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_sec_1, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.6471 -2.6471 -0.2302 2.3529 4.7698
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.2302 0.2633 19.861 <2e-16 ***
## econ_sec_1 0.4168 0.3745 1.113 0.267
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.105 on 273 degrees of freedom
## Multiple R-squared: 0.004518, Adjusted R-squared: 0.0008717
## F-statistic: 1.239 on 1 and 273 DF, p-value: 0.2666Mediation analysis: econ_sec -> 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_sec_1
## M : SES
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SES
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.7124 0.5076 1.4703 281.3962 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.0504 0.1028 19.9357 0.0000 1.8479 2.2528
## econ_sec_1 2.4533 0.1462 16.7749 0.0000 2.1654 2.7412
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0859 0.0074 9.6476 1.0105 2.0000 272.0000 0.3654
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.9489 0.4129 11.9871 0.0000 4.1361 5.7617
## econ_sec_1 0.0803 0.5339 0.1504 0.8806 -0.9707 1.1313
## SES 0.1372 0.1550 0.8849 0.3770 -0.1680 0.4424
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0672 0.0045 9.6399 1.2391 1.0000 273.0000 0.2666
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.2302 0.2633 19.8605 0.0000 4.7118 5.7487
## econ_sec_1 0.4168 0.3745 1.1131 0.2666 -0.3204 1.1541
##
## ***********************************************************************
## 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
## 0.4168 0.3745 1.1131 0.2666 -0.3204 1.1541
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0803 0.5339 0.1504 0.8806 -0.9707 1.1313
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SES 0.3366 0.4131 -0.4548 1.1745
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SES 0.3366 0.3815 0.8821 0.3777
##
## ******************** 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_sec -> 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_sec_1
## M : SEImpairment
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SEImpairment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0249 0.0006 3.0290 0.1699 1.0000 273.0000 0.6805
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.0054 0.1476 20.3592 0.0000 2.7148 3.2960
## econ_sec_1 0.0865 0.2099 0.4122 0.6805 -0.3267 0.4998
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1079 0.0116 9.6061 1.6015 2.0000 272.0000 0.2035
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.6837 0.4172 13.6241 0.0000 4.8623 6.5050
## econ_sec_1 0.4299 0.3739 1.1496 0.2513 -0.3063 1.1661
## SEImpairment -0.1509 0.1078 -1.3998 0.1627 -0.3631 0.0613
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0672 0.0045 9.6399 1.2391 1.0000 273.0000 0.2666
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.2302 0.2633 19.8605 0.0000 4.7118 5.7487
## econ_sec_1 0.4168 0.3745 1.1131 0.2666 -0.3204 1.1541
##
## ***********************************************************************
## 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
## 0.4168 0.3745 1.1131 0.2666 -0.3204 1.1541
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.4299 0.3739 1.1496 0.2513 -0.3063 1.1661
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SEImpairment -0.0131 0.0410 -0.1132 0.0616
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SEImpairment -0.0131 0.0400 -0.3261 0.7443
##
## ******************** 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_sec -> 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_sec_1
## M : surprise
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: surprise
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0363 0.0013 4.5766 0.3594 1.0000 273.0000 0.5494
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.3453 0.1815 18.4362 0.0000 2.9881 3.7026
## econ_sec_1 0.1547 0.2580 0.5995 0.5494 -0.3533 0.6626
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0696 0.0048 9.6721 0.6627 2.0000 272.0000 0.5163
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.3187 0.3952 13.4568 0.0000 4.5406 6.0968
## econ_sec_1 0.4209 0.3753 1.1214 0.2631 -0.3180 1.1599
## surprise -0.0265 0.0880 -0.3006 0.7639 -0.1997 0.1468
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0672 0.0045 9.6399 1.2391 1.0000 273.0000 0.2666
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.2302 0.2633 19.8605 0.0000 4.7118 5.7487
## econ_sec_1 0.4168 0.3745 1.1131 0.2666 -0.3204 1.1541
##
## ***********************************************************************
## 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
## 0.4168 0.3745 1.1131 0.2666 -0.3204 1.1541
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.4209 0.3753 1.1214 0.2631 -0.3180 1.1599
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## surprise -0.0041 0.0285 -0.0699 0.0540
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## surprise -0.0041 0.0273 -0.1497 0.8810
##
## ******************** 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_sec -> 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_sec_1
## M : sympathy
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: sympathy
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1631 0.0266 2.8816 7.4610 1.0000 273.0000 0.0067
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.6475 0.1440 18.3876 0.0000 2.3640 2.9309
## econ_sec_1 -0.5592 0.2047 -2.7315 0.0067 -0.9623 -0.1562
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3447 0.1188 8.5647 18.3327 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 6.8708 0.3714 18.5004 0.0000 6.1397 7.6020
## econ_sec_1 0.0703 0.3578 0.1965 0.8444 -0.6341 0.7746
## sympathy -0.6197 0.1043 -5.9389 0.0000 -0.8251 -0.4143
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0672 0.0045 9.6399 1.2391 1.0000 273.0000 0.2666
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.2302 0.2633 19.8605 0.0000 4.7118 5.7487
## econ_sec_1 0.4168 0.3745 1.1131 0.2666 -0.3204 1.1541
##
## ***********************************************************************
## 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
## 0.4168 0.3745 1.1131 0.2666 -0.3204 1.1541
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0703 0.3578 0.1965 0.8444 -0.6341 0.7746
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## sympathy 0.3466 0.1410 0.0906 0.6402
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## sympathy 0.3466 0.1413 2.4531 0.0142
##
## ******************** 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_sec -> 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_sec_1
## M : SE
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SE
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1485 0.0221 1.7247 6.1562 1.0000 273.0000 0.0137
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.8165 0.1114 34.2624 0.0000 3.5973 4.0358
## econ_sec_1 0.3930 0.1584 2.4812 0.0137 0.0812 0.7048
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3287 0.1080 8.6694 16.4692 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.3209 0.5749 4.0366 0.0001 1.1889 3.4528
## econ_sec_1 0.1172 0.3591 0.3265 0.7443 -0.5897 0.8242
## SE 0.7623 0.1357 5.6179 0.0000 0.4952 1.0294
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0672 0.0045 9.6399 1.2391 1.0000 273.0000 0.2666
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.2302 0.2633 19.8605 0.0000 4.7118 5.7487
## econ_sec_1 0.4168 0.3745 1.1131 0.2666 -0.3204 1.1541
##
## ***********************************************************************
## 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
## 0.4168 0.3745 1.1131 0.2666 -0.3204 1.1541
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1172 0.3591 0.3265 0.7443 -0.5897 0.8242
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SE 0.2996 0.1294 0.0654 0.5745
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SE 0.2996 0.1337 2.2402 0.0251
##
## ******************** 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, SFC4
Mediation analysis: econ_sec -> 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_sec_1
## M : SFC
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SFC
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0998 0.0100 1.4199 2.7437 1.0000 273.0000 0.0988
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.7086 0.1011 36.6941 0.0000 3.5097 3.9076
## econ_sec_1 0.2381 0.1437 1.6564 0.0988 -0.0449 0.5210
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2572 0.0661 9.0765 9.6302 2.0000 272.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.8262 0.6224 4.5410 0.0000 1.6009 4.0515
## econ_sec_1 0.2625 0.3652 0.7189 0.4728 -0.4564 0.9815
## SFC 0.6482 0.1530 4.2361 0.0000 0.3470 0.9495
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0672 0.0045 9.6399 1.2391 1.0000 273.0000 0.2666
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.2302 0.2633 19.8605 0.0000 4.7118 5.7487
## econ_sec_1 0.4168 0.3745 1.1131 0.2666 -0.3204 1.1541
##
## ***********************************************************************
## 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
## 0.4168 0.3745 1.1131 0.2666 -0.3204 1.1541
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.2625 0.3652 0.7189 0.4728 -0.4564 0.9815
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SFC 0.1543 0.1017 -0.0280 0.3755
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SFC 0.1543 0.1024 1.5067 0.1319
##
## ******************** 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_sec -> 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_sec_1
## M : upbringing
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: upbringing
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1451 0.0211 3.5403 5.8723 1.0000 273.0000 0.0160
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.4029 0.1596 21.3223 0.0000 3.0887 3.7171
## econ_sec_1 -0.5499 0.2269 -2.4233 0.0160 -0.9967 -0.1032
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1354 0.0183 9.5410 2.5414 2.0000 272.0000 0.0806
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.8920 0.4277 13.7751 0.0000 5.0499 6.7340
## econ_sec_1 0.3099 0.3765 0.8230 0.4112 -0.4314 1.0512
## upbringing -0.1945 0.0994 -1.9573 0.0513 -0.3901 0.0011
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0672 0.0045 9.6399 1.2391 1.0000 273.0000 0.2666
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.2302 0.2633 19.8605 0.0000 4.7118 5.7487
## econ_sec_1 0.4168 0.3745 1.1131 0.2666 -0.3204 1.1541
##
## ***********************************************************************
## 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
## 0.4168 0.3745 1.1131 0.2666 -0.3204 1.1541
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.3099 0.3765 0.8230 0.4112 -0.4314 1.0512
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## upbringing 0.1069 0.0706 -0.0055 0.2671
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## upbringing 0.1069 0.0738 1.4498 0.1471
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000##
## ********************* 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_sec_1
## M1 : sympathy
## M2 : SE
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: sympathy
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1631 0.0266 2.8816 7.4610 1.0000 273.0000 0.0067
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.6475 0.1440 18.3876 0.0000 2.3640 2.9309
## econ_sec_1 -0.5592 0.2047 -2.7315 0.0067 -0.9623 -0.1562
##
## ***********************************************************************
## Outcome Variable: SE
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1485 0.0221 1.7247 6.1562 1.0000 273.0000 0.0137
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.8165 0.1114 34.2624 0.0000 3.5973 4.0358
## econ_sec_1 0.3930 0.1584 2.4812 0.0137 0.0812 0.7048
##
## ***********************************************************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3921 0.1537 8.2554 16.4107 3.0000 271.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.4945 0.7984 5.6293 0.0000 2.9226 6.0664
## econ_sec_1 -0.0264 0.3524 -0.0748 0.9405 -0.7202 0.6675
## sympathy -0.4417 0.1154 -3.8264 0.0002 -0.6690 -0.2144
## SE 0.4992 0.1492 3.3455 0.0009 0.2054 0.7929
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0672 0.0045 9.6399 1.2391 1.0000 273.0000 0.2666
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.2302 0.2633 19.8605 0.0000 4.7118 5.7487
## econ_sec_1 0.4168 0.3745 1.1131 0.2666 -0.3204 1.1541
##
## ***********************************************************************
## 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
## 0.4168 0.3745 1.1131 0.2666 -0.3204 1.1541
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0264 0.3524 -0.0748 0.9405 -0.7202 0.6675
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## TOTAL 0.4432 0.1624 0.1395 0.7728
## sympathy 0.2470 0.1112 0.0575 0.4875
## SE 0.1962 0.0976 0.0333 0.4137
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## sympathy 0.2470 0.1136 2.1745 0.0297
## SE 0.1962 0.1012 1.9378 0.0526
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000