##
## ********************* 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 = punish_post ~ manip_check, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -4.7618 -0.7618 0.0433 0.8483 1.2382
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.76180 0.10171 46.82 < 2e-16 ***
## manip_check 0.06498 0.02452 2.65 0.00849 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.063 on 298 degrees of freedom
## Multiple R-squared: 0.02302, Adjusted R-squared: 0.01974
## F-statistic: 7.021 on 1 and 298 DF, p-value: 0.008488Mediation analysis: manip_check -> character -> punish_post
##
## ********************* 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 : punish_post
## X : manip_check
## M : character
##
## Sample size: 300
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: character
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1561 0.0244 1.5564 7.4436 1.0000 298.0000 0.0067
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.3963 0.1193 20.0799 0.0000 2.1614 2.6311
## manip_check -0.0785 0.0288 -2.7283 0.0067 -0.1351 -0.0219
##
## ***********************************************************************
## Outcome Variable: punish_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4149 0.1722 0.9612 30.8855 2.0000 297.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.5598 0.1439 38.6488 0.0000 5.2767 5.8429
## manip_check 0.0388 0.0229 1.6964 0.0909 -0.0062 0.0839
## character -0.3330 0.0455 -7.3153 0.0000 -0.4226 -0.2434
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punish_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1517 0.0230 1.1305 7.0205 1.0000 298.0000 0.0085
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.7618 0.1017 46.8187 0.0000 4.5616 4.9620
## manip_check 0.0650 0.0245 2.6496 0.0085 0.0167 0.1132
##
## ***********************************************************************
## 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
## 0.0650 0.0245 2.6496 0.0085 0.0167 0.1132
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0388 0.0229 1.6964 0.0909 -0.0062 0.0839
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## character 0.0261 0.0107 0.0066 0.0490
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## character 0.0261 0.0103 2.5356 0.0112
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: manip_check -> wrongness -> punish_post
##
## ********************* 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 : punish_post
## X : manip_check
## M : wrongness
##
## Sample size: 300
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: wrongness
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1293 0.0167 0.5772 5.0655 1.0000 298.0000 0.0251
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.5529 0.0727 76.4126 0.0000 5.4099 5.6959
## manip_check 0.0394 0.0175 2.2507 0.0251 0.0050 0.0739
##
## ***********************************************************************
## Outcome Variable: punish_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3804 0.1447 0.9930 25.1311 2.0000 297.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.0186 0.4326 4.6666 0.0000 1.1673 2.8699
## manip_check 0.0455 0.0232 1.9629 0.0506 -0.0001 0.0911
## wrongness 0.4940 0.0760 6.5015 0.0000 0.3445 0.6435
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punish_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1517 0.0230 1.1305 7.0205 1.0000 298.0000 0.0085
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.7618 0.1017 46.8187 0.0000 4.5616 4.9620
## manip_check 0.0650 0.0245 2.6496 0.0085 0.0167 0.1132
##
## ***********************************************************************
## 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
## 0.0650 0.0245 2.6496 0.0085 0.0167 0.1132
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0455 0.0232 1.9629 0.0506 -0.0001 0.0911
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## wrongness 0.0195 0.0122 0.0014 0.0477
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## wrongness 0.0195 0.0093 2.1047 0.0353
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: manip_check -> justification -> punish_post
##
## ********************* 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 : punish_post
## X : manip_check
## M : justification
##
## Sample size: 300
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: justification
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1073 0.0115 1.3824 3.4711 1.0000 298.0000 0.0634
##
## Model:
## coeff se t p LLCI ULCI
## constant 0.7537 0.1125 6.7018 0.0000 0.5324 0.9751
## manip_check -0.0505 0.0271 -1.8631 0.0634 -0.1039 0.0028
##
## ***********************************************************************
## Outcome Variable: punish_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4228 0.1787 0.9536 32.3150 2.0000 297.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.0339 0.1002 50.2385 0.0000 4.8367 5.2311
## manip_check 0.0467 0.0227 2.0632 0.0400 0.0022 0.0913
## justification -0.3610 0.0481 -7.5038 0.0000 -0.4557 -0.2663
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punish_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1517 0.0230 1.1305 7.0205 1.0000 298.0000 0.0085
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.7618 0.1017 46.8187 0.0000 4.5616 4.9620
## manip_check 0.0650 0.0245 2.6496 0.0085 0.0167 0.1132
##
## ***********************************************************************
## 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
## 0.0650 0.0245 2.6496 0.0085 0.0167 0.1132
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0467 0.0227 2.0632 0.0400 0.0022 0.0913
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## justification 0.0182 0.0102 0.0009 0.0404
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## justification 0.0182 0.0102 1.7933 0.0729
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: manip_check -> guilt -> punish_post
##
## ********************* 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 : punish_post
## X : manip_check
## M : guilt
##
## Sample size: 300
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: guilt
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1323 0.0175 2.8423 5.3052 1.0000 298.0000 0.0220
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.3762 0.1613 27.1362 0.0000 4.0588 4.6935
## manip_check -0.0896 0.0389 -2.3033 0.0220 -0.1661 -0.0130
##
## ***********************************************************************
## Outcome Variable: punish_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1942 0.0377 1.1173 5.8187 2.0000 297.0000 0.0033
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1002 0.1884 27.0748 0.0000 4.7295 5.4709
## manip_check 0.0581 0.0246 2.3603 0.0189 0.0096 0.1065
## guilt -0.0773 0.0363 -2.1292 0.0341 -0.1488 -0.0059
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punish_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1517 0.0230 1.1305 7.0205 1.0000 298.0000 0.0085
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.7618 0.1017 46.8187 0.0000 4.5616 4.9620
## manip_check 0.0650 0.0245 2.6496 0.0085 0.0167 0.1132
##
## ***********************************************************************
## 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
## 0.0650 0.0245 2.6496 0.0085 0.0167 0.1132
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0581 0.0246 2.3603 0.0189 0.0096 0.1065
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## guilt 0.0069 0.0053 -0.0008 0.0191
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## guilt 0.0069 0.0046 1.4896 0.1363
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: manip_check -> SFC -> punish_post
##
## ********************* 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 : punish_post
## X : manip_check
## M : SFC
##
## Sample size: 300
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SFC
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1794 0.0322 2.1609 9.9093 1.0000 298.0000 0.0018
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.9338 0.1406 20.8642 0.0000 2.6570 3.2105
## manip_check 0.1067 0.0339 3.1479 0.0018 0.0400 0.1735
##
## ***********************************************************************
## Outcome Variable: punish_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3019 0.0911 1.0553 14.8872 2.0000 297.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.2016 0.1541 27.2572 0.0000 3.8982 4.5049
## manip_check 0.0446 0.0241 1.8517 0.0651 -0.0028 0.0920
## SFC 0.1910 0.0405 4.7173 0.0000 0.1113 0.2706
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punish_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1517 0.0230 1.1305 7.0205 1.0000 298.0000 0.0085
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.7618 0.1017 46.8187 0.0000 4.5616 4.9620
## manip_check 0.0650 0.0245 2.6496 0.0085 0.0167 0.1132
##
## ***********************************************************************
## 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
## 0.0650 0.0245 2.6496 0.0085 0.0167 0.1132
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0446 0.0241 1.8517 0.0651 -0.0028 0.0920
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SFC 0.0204 0.0084 0.0061 0.0391
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SFC 0.0204 0.0079 2.5787 0.0099
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: manip_check -> parallel -> punish_post
##
## ********************* 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 : punish_post
## X : manip_check
## M1 : character
## M2 : wrongness
## M3 : justification
## M4 : SFC
##
## Sample size: 300
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: character
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1561 0.0244 1.5564 7.4436 1.0000 298.0000 0.0067
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.3963 0.1193 20.0799 0.0000 2.1614 2.6311
## manip_check -0.0785 0.0288 -2.7283 0.0067 -0.1351 -0.0219
##
## ***********************************************************************
## Outcome Variable: wrongness
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1293 0.0167 0.5772 5.0655 1.0000 298.0000 0.0251
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.5529 0.0727 76.4126 0.0000 5.4099 5.6959
## manip_check 0.0394 0.0175 2.2507 0.0251 0.0050 0.0739
##
## ***********************************************************************
## Outcome Variable: justification
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1073 0.0115 1.3824 3.4711 1.0000 298.0000 0.0634
##
## Model:
## coeff se t p LLCI ULCI
## constant 0.7537 0.1125 6.7018 0.0000 0.5324 0.9751
## manip_check -0.0505 0.0271 -1.8631 0.0634 -0.1039 0.0028
##
## ***********************************************************************
## Outcome Variable: SFC
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1794 0.0322 2.1609 9.9093 1.0000 298.0000 0.0018
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.9338 0.1406 20.8642 0.0000 2.6570 3.2105
## manip_check 0.1067 0.0339 3.1479 0.0018 0.0400 0.1735
##
## ***********************************************************************
## Outcome Variable: punish_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.5751 0.3307 0.7850 29.0562 5.0000 294.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.6497 0.5082 7.1809 0.0000 2.6494 4.6499
## manip_check 0.0103 0.0211 0.4885 0.6255 -0.0312 0.0517
## character -0.2290 0.0430 -5.3247 0.0000 -0.3137 -0.1444
## wrongness 0.2452 0.0799 3.0674 0.0024 0.0879 0.4025
## justification -0.2072 0.0522 -3.9710 0.0001 -0.3098 -0.1045
## SFC 0.1553 0.0353 4.4034 0.0000 0.0859 0.2247
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punish_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1517 0.0230 1.1305 7.0205 1.0000 298.0000 0.0085
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.7618 0.1017 46.8187 0.0000 4.5616 4.9620
## manip_check 0.0650 0.0245 2.6496 0.0085 0.0167 0.1132
##
## ***********************************************************************
## 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
## 0.0650 0.0245 2.6496 0.0085 0.0167 0.1132
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0103 0.0211 0.4885 0.6255 -0.0312 0.0517
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## TOTAL 0.0547 0.0156 0.0269 0.0883
## character 0.0180 0.0081 0.0041 0.0359
## wrongness 0.0097 0.0078 -0.0001 0.0285
## justification 0.0105 0.0061 0.0005 0.0241
## SFC 0.0166 0.0069 0.0046 0.0317
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## character 0.0180 0.0075 2.3949 0.0166
## wrongness 0.0097 0.0055 1.7550 0.0793
## justification 0.0105 0.0064 1.6445 0.1001
## SFC 0.0166 0.0066 2.5182 0.0118
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000