##
## ********************* 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
## X1: poor-middle_class
X2: poor-rich
Mediation analysis: condition -> character -> blame_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 : blame_post
## X : condition_1
## M : character
##
## Sample size: 300
##
## Custom seed: 1234
##
## Coding of categorical X variable for analysis:
## condition_1 X1 X2
## 0.0000 0.0000 0.0000
## 1.0000 1.0000 0.0000
## 2.0000 0.0000 1.0000
##
## ***********************************************************************
## Outcome Variable: character
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1679 0.0282 1.5555 4.3099 2.0000 297.0000 0.0143
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.3535 0.1253 18.7759 0.0000 2.1069 2.6002
## X1 -0.1435 0.1768 -0.8117 0.4176 -0.4915 0.2045
## X2 -0.5021 0.1764 -2.8463 0.0047 -0.8492 -0.1549
##
## ***********************************************************************
## Outcome Variable: blame_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2825 0.0798 1.0145 8.5582 3.0000 296.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.8631 0.1497 39.1651 0.0000 5.5685 6.1577
## X1 -0.1162 0.1430 -0.8125 0.4172 -0.3975 0.1652
## X2 -0.0126 0.1444 -0.0876 0.9303 -0.2968 0.2715
## character -0.2294 0.0469 -4.8948 0.0000 -0.3216 -0.1371
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0730 0.0053 1.0929 0.7962 2.0000 297.0000 0.4520
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.3232 0.1051 50.6645 0.0000 5.1165 5.5300
## X1 -0.0832 0.1482 -0.5616 0.5748 -0.3749 0.2085
## X2 0.1025 0.1479 0.6933 0.4886 -0.1885 0.3935
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Relative total effects of X on Y:
## effect se t p LLCI ULCI
## X1 -0.0832 0.1482 -0.5616 0.5748 -0.3749 0.2085
## X2 0.1025 0.1479 0.6933 0.4886 -0.1885 0.3935
##
## Omnibus test of total effect of X on Y:
## R2-chng F df1 df2 p
## 0.0053 0.7962 2.0000 297.0000 0.4520
## ----------
##
## Relative direct effects of X on Y:
## effect se t p LLCI ULCI
## X1 -0.1162 0.1430 -0.8125 0.4172 -0.3975 0.1652
## X2 -0.0126 0.1444 -0.0876 0.9303 -0.2968 0.2715
##
## Omnibus test of direct effect of X on Y:
## R2-chng F df1 df2 p
## 0.0025 0.3996 2.0000 296.0000 0.6709
##
## ----------
##
## Relative indirect effects of X on Y:
##
## condition_1 -> character -> blame_post
##
## Effect BootSE BootLLCI BootULCI
## X1 0.0329 0.0430 -0.0460 0.1250
## X2 0.1152 0.0520 0.0300 0.2341
##
## Normal theory test for relative indirect effects:
## Effect se Z p
## X1 0.0329 0.0419 0.7850 0.4324
## X2 0.1152 0.0475 2.4230 0.0154
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: condition -> 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 : condition_1
## M : character
##
## Sample size: 300
##
## Custom seed: 1234
##
## Coding of categorical X variable for analysis:
## condition_1 X1 X2
## 0.0000 0.0000 0.0000
## 1.0000 1.0000 0.0000
## 2.0000 0.0000 1.0000
##
## ***********************************************************************
## Outcome Variable: character
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1679 0.0282 1.5555 4.3099 2.0000 297.0000 0.0143
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.3535 0.1253 18.7759 0.0000 2.1069 2.6002
## X1 -0.1435 0.1768 -0.8117 0.4176 -0.4915 0.2045
## X2 -0.5021 0.1764 -2.8463 0.0047 -0.8492 -0.1549
##
## ***********************************************************************
## Outcome Variable: punish_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4073 0.1659 0.9717 19.6286 3.0000 296.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.6415 0.1465 38.5059 0.0000 5.3532 5.9298
## X1 0.1026 0.1399 0.7336 0.4638 -0.1727 0.3780
## X2 0.0893 0.1413 0.6320 0.5278 -0.1888 0.3674
## character -0.3412 0.0459 -7.4407 0.0000 -0.4315 -0.2510
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punish_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0996 0.0099 1.1495 1.4887 2.0000 297.0000 0.2273
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8384 0.1078 44.9009 0.0000 4.6263 5.0504
## X1 0.1516 0.1520 0.9974 0.3194 -0.1475 0.4508
## X2 0.2606 0.1516 1.7188 0.0867 -0.0378 0.5590
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Relative total effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.1516 0.1520 0.9974 0.3194 -0.1475 0.4508
## X2 0.2606 0.1516 1.7188 0.0867 -0.0378 0.5590
##
## Omnibus test of total effect of X on Y:
## R2-chng F df1 df2 p
## 0.0099 1.4887 2.0000 297.0000 0.2273
## ----------
##
## Relative direct effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.1026 0.1399 0.7336 0.4638 -0.1727 0.3780
## X2 0.0893 0.1413 0.6320 0.5278 -0.1888 0.3674
##
## Omnibus test of direct effect of X on Y:
## R2-chng F df1 df2 p
## 0.0018 0.3152 2.0000 296.0000 0.7299
##
## ----------
##
## Relative indirect effects of X on Y:
##
## condition_1 -> character -> punish_post
##
## Effect BootSE BootLLCI BootULCI
## X1 0.0490 0.0617 -0.0680 0.1740
## X2 0.1713 0.0685 0.0501 0.3189
##
## Normal theory test for relative indirect effects:
## Effect se Z p
## X1 0.0490 0.0612 0.7998 0.4238
## X2 0.1713 0.0650 2.6377 0.0083
##
## ******************** 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 -> character -> blame_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 : blame_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: blame_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2815 0.0792 1.0117 12.7766 2.0000 297.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.7495 0.1476 38.9562 0.0000 5.4590 6.0399
## manip_check 0.0183 0.0235 0.7810 0.4355 -0.0279 0.0646
## character -0.2247 0.0467 -4.8112 0.0000 -0.3166 -0.1328
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0864 0.0075 1.0869 2.2393 1.0000 298.0000 0.1356
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.2110 0.0997 52.2538 0.0000 5.0148 5.4073
## manip_check 0.0360 0.0240 1.4964 0.1356 -0.0113 0.0833
##
## ***********************************************************************
## 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
## 0.0360 0.0240 1.4964 0.1356 -0.0113 0.0833
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0183 0.0235 0.7810 0.4355 -0.0279 0.0646
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## character 0.0176 0.0082 0.0041 0.0360
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## character 0.0176 0.0076 2.3354 0.0195
##
## ******************** 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 -> 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: condition -> wrongness -> blame_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 : blame_post
## X : condition_1
## M : wrongness
##
## Sample size: 300
##
## Custom seed: 1234
##
## Coding of categorical X variable for analysis:
## condition_1 X1 X2
## 0.0000 0.0000 0.0000
## 1.0000 1.0000 0.0000
## 2.0000 0.0000 1.0000
##
## ***********************************************************************
## Outcome Variable: wrongness
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1004 0.0101 0.5830 1.5120 2.0000 297.0000 0.2222
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.5758 0.0767 72.6581 0.0000 5.4247 5.7268
## X1 0.1442 0.1083 1.3324 0.1837 -0.0688 0.3573
## X2 0.1767 0.1080 1.6365 0.1028 -0.0358 0.3892
##
## ***********************************************************************
## Outcome Variable: blame_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.5015 0.2515 0.8252 33.1524 3.0000 296.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 1.5254 0.3956 3.8561 0.0001 0.7469 2.3040
## X1 -0.1815 0.1292 -1.4049 0.1611 -0.4357 0.0727
## X2 -0.0179 0.1291 -0.1384 0.8900 -0.2718 0.2361
## wrongness 0.6811 0.0690 9.8665 0.0000 0.5453 0.8170
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0730 0.0053 1.0929 0.7962 2.0000 297.0000 0.4520
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.3232 0.1051 50.6645 0.0000 5.1165 5.5300
## X1 -0.0832 0.1482 -0.5616 0.5748 -0.3749 0.2085
## X2 0.1025 0.1479 0.6933 0.4886 -0.1885 0.3935
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Relative total effects of X on Y:
## effect se t p LLCI ULCI
## X1 -0.0832 0.1482 -0.5616 0.5748 -0.3749 0.2085
## X2 0.1025 0.1479 0.6933 0.4886 -0.1885 0.3935
##
## Omnibus test of total effect of X on Y:
## R2-chng F df1 df2 p
## 0.0053 0.7962 2.0000 297.0000 0.4520
## ----------
##
## Relative direct effects of X on Y:
## effect se t p LLCI ULCI
## X1 -0.1815 0.1292 -1.4049 0.1611 -0.4357 0.0727
## X2 -0.0179 0.1291 -0.1384 0.8900 -0.2718 0.2361
##
## Omnibus test of direct effect of X on Y:
## R2-chng F df1 df2 p
## 0.0061 1.2090 2.0000 296.0000 0.3000
##
## ----------
##
## Relative indirect effects of X on Y:
##
## condition_1 -> wrongness -> blame_post
##
## Effect BootSE BootLLCI BootULCI
## X1 0.0982 0.0733 -0.0403 0.2495
## X2 0.1204 0.0749 -0.0363 0.2607
##
## Normal theory test for relative indirect effects:
## Effect se Z p
## X1 0.0982 0.0748 1.3138 0.1889
## X2 0.1204 0.0749 1.6064 0.1082
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: condition -> 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 : condition_1
## M : wrongness
##
## Sample size: 300
##
## Custom seed: 1234
##
## Coding of categorical X variable for analysis:
## condition_1 X1 X2
## 0.0000 0.0000 0.0000
## 1.0000 1.0000 0.0000
## 2.0000 0.0000 1.0000
##
## ***********************************************************************
## Outcome Variable: wrongness
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1004 0.0101 0.5830 1.5120 2.0000 297.0000 0.2222
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.5758 0.0767 72.6581 0.0000 5.4247 5.7268
## X1 0.1442 0.1083 1.3324 0.1837 -0.0688 0.3573
## X2 0.1767 0.1080 1.6365 0.1028 -0.0358 0.3892
##
## ***********************************************************************
## Outcome Variable: punish_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3713 0.1379 1.0044 15.7797 3.0000 296.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.0238 0.4364 4.6370 0.0000 1.1649 2.8827
## X1 0.0788 0.1425 0.5530 0.5807 -0.2017 0.3593
## X2 0.1714 0.1424 1.2040 0.2295 -0.1088 0.4516
## wrongness 0.5048 0.0762 6.6281 0.0000 0.3549 0.6547
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punish_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0996 0.0099 1.1495 1.4887 2.0000 297.0000 0.2273
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8384 0.1078 44.9009 0.0000 4.6263 5.0504
## X1 0.1516 0.1520 0.9974 0.3194 -0.1475 0.4508
## X2 0.2606 0.1516 1.7188 0.0867 -0.0378 0.5590
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Relative total effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.1516 0.1520 0.9974 0.3194 -0.1475 0.4508
## X2 0.2606 0.1516 1.7188 0.0867 -0.0378 0.5590
##
## Omnibus test of total effect of X on Y:
## R2-chng F df1 df2 p
## 0.0099 1.4887 2.0000 297.0000 0.2273
## ----------
##
## Relative direct effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.0788 0.1425 0.5530 0.5807 -0.2017 0.3593
## X2 0.1714 0.1424 1.2040 0.2295 -0.1088 0.4516
##
## Omnibus test of direct effect of X on Y:
## R2-chng F df1 df2 p
## 0.0042 0.7271 2.0000 296.0000 0.4842
##
## ----------
##
## Relative indirect effects of X on Y:
##
## condition_1 -> wrongness -> punish_post
##
## Effect BootSE BootLLCI BootULCI
## X1 0.0728 0.0620 -0.0302 0.2152
## X2 0.0892 0.0720 -0.0178 0.2554
##
## Normal theory test for relative indirect effects:
## Effect se Z p
## X1 0.0728 0.0563 1.2922 0.1963
## X2 0.0892 0.0567 1.5720 0.1160
##
## ******************** 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 -> blame_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 : blame_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: blame_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4959 0.2459 0.8286 48.4213 2.0000 297.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 1.4761 0.3951 3.7358 0.0002 0.6985 2.2537
## manip_check 0.0095 0.0212 0.4467 0.6554 -0.0322 0.0511
## wrongness 0.6726 0.0694 9.6905 0.0000 0.5360 0.8092
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0864 0.0075 1.0869 2.2393 1.0000 298.0000 0.1356
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.2110 0.0997 52.2538 0.0000 5.0148 5.4073
## manip_check 0.0360 0.0240 1.4964 0.1356 -0.0113 0.0833
##
## ***********************************************************************
## 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
## 0.0360 0.0240 1.4964 0.1356 -0.0113 0.0833
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0095 0.0212 0.4467 0.6554 -0.0322 0.0511
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## wrongness 0.0265 0.0115 0.0029 0.0483
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## wrongness 0.0265 0.0122 2.1813 0.0292
##
## ******************** 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: condition -> justification -> blame_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 : blame_post
## X : condition_1
## M : justification
##
## Sample size: 300
##
## Custom seed: 1234
##
## Coding of categorical X variable for analysis:
## condition_1 X1 X2
## 0.0000 0.0000 0.0000
## 1.0000 1.0000 0.0000
## 2.0000 0.0000 1.0000
##
## ***********************************************************************
## Outcome Variable: justification
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0920 0.0085 1.3913 1.2681 2.0000 297.0000 0.2829
##
## Model:
## coeff se t p LLCI ULCI
## constant 0.6465 0.1185 5.4532 0.0000 0.4132 0.8798
## X1 0.0335 0.1672 0.2005 0.8412 -0.2956 0.3626
## X2 -0.2108 0.1668 -1.2638 0.2073 -0.5391 0.1175
##
## ***********************************************************************
## Outcome Variable: blame_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.5623 0.3162 0.7539 45.6240 3.0000 296.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.6435 0.0915 61.6594 0.0000 5.4634 5.8237
## X1 -0.0666 0.1231 -0.5411 0.5888 -0.3089 0.1757
## X2 -0.0019 0.1231 -0.0158 0.9874 -0.2443 0.2404
## justification -0.4955 0.0427 -11.6001 0.0000 -0.5795 -0.4114
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0730 0.0053 1.0929 0.7962 2.0000 297.0000 0.4520
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.3232 0.1051 50.6645 0.0000 5.1165 5.5300
## X1 -0.0832 0.1482 -0.5616 0.5748 -0.3749 0.2085
## X2 0.1025 0.1479 0.6933 0.4886 -0.1885 0.3935
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Relative total effects of X on Y:
## effect se t p LLCI ULCI
## X1 -0.0832 0.1482 -0.5616 0.5748 -0.3749 0.2085
## X2 0.1025 0.1479 0.6933 0.4886 -0.1885 0.3935
##
## Omnibus test of total effect of X on Y:
## R2-chng F df1 df2 p
## 0.0053 0.7962 2.0000 297.0000 0.4520
## ----------
##
## Relative direct effects of X on Y:
## effect se t p LLCI ULCI
## X1 -0.0666 0.1231 -0.5411 0.5888 -0.3089 0.1757
## X2 -0.0019 0.1231 -0.0158 0.9874 -0.2443 0.2404
##
## Omnibus test of direct effect of X on Y:
## R2-chng F df1 df2 p
## 0.0009 0.1900 2.0000 296.0000 0.8270
##
## ----------
##
## Relative indirect effects of X on Y:
##
## condition_1 -> justification -> blame_post
##
## Effect BootSE BootLLCI BootULCI
## X1 -0.0166 0.0889 -0.1891 0.1644
## X2 0.1045 0.0767 -0.0512 0.2503
##
## Normal theory test for relative indirect effects:
## Effect se Z p
## X1 -0.0166 0.0832 -0.1998 0.8417
## X2 0.1045 0.0834 1.2517 0.2107
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: condition -> 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 : condition_1
## M : justification
##
## Sample size: 300
##
## Custom seed: 1234
##
## Coding of categorical X variable for analysis:
## condition_1 X1 X2
## 0.0000 0.0000 0.0000
## 1.0000 1.0000 0.0000
## 2.0000 0.0000 1.0000
##
## ***********************************************************************
## Outcome Variable: justification
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0920 0.0085 1.3913 1.2681 2.0000 297.0000 0.2829
##
## Model:
## coeff se t p LLCI ULCI
## constant 0.6465 0.1185 5.4532 0.0000 0.4132 0.8798
## X1 0.0335 0.1672 0.2005 0.8412 -0.2956 0.3626
## X2 -0.2108 0.1668 -1.2638 0.2073 -0.5391 0.1175
##
## ***********************************************************************
## Outcome Variable: punish_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4157 0.1728 0.9637 20.6081 3.0000 296.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.0767 0.1035 49.0576 0.0000 4.8730 5.2804
## X1 0.1640 0.1392 1.1781 0.2397 -0.1099 0.4379
## X2 0.1829 0.1392 1.3139 0.1899 -0.0911 0.4569
## justification -0.3687 0.0483 -7.6337 0.0000 -0.4637 -0.2736
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punish_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0996 0.0099 1.1495 1.4887 2.0000 297.0000 0.2273
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8384 0.1078 44.9009 0.0000 4.6263 5.0504
## X1 0.1516 0.1520 0.9974 0.3194 -0.1475 0.4508
## X2 0.2606 0.1516 1.7188 0.0867 -0.0378 0.5590
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Relative total effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.1516 0.1520 0.9974 0.3194 -0.1475 0.4508
## X2 0.2606 0.1516 1.7188 0.0867 -0.0378 0.5590
##
## Omnibus test of total effect of X on Y:
## R2-chng F df1 df2 p
## 0.0099 1.4887 2.0000 297.0000 0.2273
## ----------
##
## Relative direct effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.1640 0.1392 1.1781 0.2397 -0.1099 0.4379
## X2 0.1829 0.1392 1.3139 0.1899 -0.0911 0.4569
##
## Omnibus test of direct effect of X on Y:
## R2-chng F df1 df2 p
## 0.0058 1.0432 2.0000 296.0000 0.3536
##
## ----------
##
## Relative indirect effects of X on Y:
##
## condition_1 -> justification -> punish_post
##
## Effect BootSE BootLLCI BootULCI
## X1 -0.0124 0.0673 -0.1406 0.1281
## X2 0.0777 0.0625 -0.0328 0.2097
##
## Normal theory test for relative indirect effects:
## Effect se Z p
## X1 -0.0124 0.0622 -0.1988 0.8424
## X2 0.0777 0.0629 1.2365 0.2163
##
## ******************** 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 -> blame_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 : blame_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: blame_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.5621 0.3160 0.7515 68.6073 2.0000 297.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.5837 0.0890 62.7693 0.0000 5.4086 5.7587
## manip_check 0.0110 0.0201 0.5472 0.5847 -0.0286 0.0506
## justification -0.4944 0.0427 -11.5748 0.0000 -0.5784 -0.4103
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0864 0.0075 1.0869 2.2393 1.0000 298.0000 0.1356
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.2110 0.0997 52.2538 0.0000 5.0148 5.4073
## manip_check 0.0360 0.0240 1.4964 0.1356 -0.0113 0.0833
##
## ***********************************************************************
## 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
## 0.0360 0.0240 1.4964 0.1356 -0.0113 0.0833
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0110 0.0201 0.5472 0.5847 -0.0286 0.0506
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## justification 0.0250 0.0121 0.0013 0.0490
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## justification 0.0250 0.0136 1.8328 0.0668
##
## ******************** 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: condition -> guilt -> blame_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 : blame_post
## X : condition_1
## M : guilt
##
## Sample size: 300
##
## Custom seed: 1234
##
## Coding of categorical X variable for analysis:
## condition_1 X1 X2
## 0.0000 0.0000 0.0000
## 1.0000 1.0000 0.0000
## 2.0000 0.0000 1.0000
##
## ***********************************************************************
## Outcome Variable: guilt
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2391 0.0572 2.7366 9.0065 2.0000 297.0000 0.0002
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.2525 0.1663 25.5773 0.0000 3.9253 4.5797
## X1 0.2175 0.2345 0.9272 0.3546 -0.2441 0.6790
## X2 -0.7278 0.2340 -3.1106 0.0020 -1.1882 -0.2673
##
## ***********************************************************************
## Outcome Variable: blame_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0751 0.0056 1.0962 0.5600 3.0000 296.0000 0.6418
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.2758 0.1883 28.0150 0.0000 4.9051 5.6464
## X1 -0.0857 0.1487 -0.5762 0.5649 -0.3782 0.2069
## X2 0.1106 0.1505 0.7353 0.4628 -0.1855 0.4068
## guilt 0.0112 0.0367 0.3040 0.7613 -0.0611 0.0834
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0730 0.0053 1.0929 0.7962 2.0000 297.0000 0.4520
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.3232 0.1051 50.6645 0.0000 5.1165 5.5300
## X1 -0.0832 0.1482 -0.5616 0.5748 -0.3749 0.2085
## X2 0.1025 0.1479 0.6933 0.4886 -0.1885 0.3935
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Relative total effects of X on Y:
## effect se t p LLCI ULCI
## X1 -0.0832 0.1482 -0.5616 0.5748 -0.3749 0.2085
## X2 0.1025 0.1479 0.6933 0.4886 -0.1885 0.3935
##
## Omnibus test of total effect of X on Y:
## R2-chng F df1 df2 p
## 0.0053 0.7962 2.0000 297.0000 0.4520
## ----------
##
## Relative direct effects of X on Y:
## effect se t p LLCI ULCI
## X1 -0.0857 0.1487 -0.5762 0.5649 -0.3782 0.2069
## X2 0.1106 0.1505 0.7353 0.4628 -0.1855 0.4068
##
## Omnibus test of direct effect of X on Y:
## R2-chng F df1 df2 p
## 0.0056 0.8400 2.0000 296.0000 0.4327
##
## ----------
##
## Relative indirect effects of X on Y:
##
## condition_1 -> guilt -> blame_post
##
## Effect BootSE BootLLCI BootULCI
## X1 0.0024 0.0151 -0.0266 0.0390
## X2 -0.0081 0.0362 -0.0880 0.0617
##
## Normal theory test for relative indirect effects:
## Effect se Z p
## X1 0.0024 0.0120 0.2018 0.8401
## X2 -0.0081 0.0282 -0.2882 0.7732
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: condition -> 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 : condition_1
## M : guilt
##
## Sample size: 300
##
## Custom seed: 1234
##
## Coding of categorical X variable for analysis:
## condition_1 X1 X2
## 0.0000 0.0000 0.0000
## 1.0000 1.0000 0.0000
## 2.0000 0.0000 1.0000
##
## ***********************************************************************
## Outcome Variable: guilt
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2391 0.0572 2.7366 9.0065 2.0000 297.0000 0.0002
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.2525 0.1663 25.5773 0.0000 3.9253 4.5797
## X1 0.2175 0.2345 0.9272 0.3546 -0.2441 0.6790
## X2 -0.7278 0.2340 -3.1106 0.0020 -1.1882 -0.2673
##
## ***********************************************************************
## Outcome Variable: punish_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1622 0.0263 1.1344 2.6646 3.0000 296.0000 0.0481
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1928 0.1916 27.1073 0.0000 4.8158 5.5698
## X1 0.1697 0.1512 1.1225 0.2626 -0.1279 0.4673
## X2 0.2000 0.1531 1.3065 0.1924 -0.1013 0.5012
## guilt -0.0833 0.0374 -2.2308 0.0264 -0.1569 -0.0098
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punish_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0996 0.0099 1.1495 1.4887 2.0000 297.0000 0.2273
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8384 0.1078 44.9009 0.0000 4.6263 5.0504
## X1 0.1516 0.1520 0.9974 0.3194 -0.1475 0.4508
## X2 0.2606 0.1516 1.7188 0.0867 -0.0378 0.5590
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Relative total effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.1516 0.1520 0.9974 0.3194 -0.1475 0.4508
## X2 0.2606 0.1516 1.7188 0.0867 -0.0378 0.5590
##
## Omnibus test of total effect of X on Y:
## R2-chng F df1 df2 p
## 0.0099 1.4887 2.0000 297.0000 0.2273
## ----------
##
## Relative direct effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.1697 0.1512 1.1225 0.2626 -0.1279 0.4673
## X2 0.2000 0.1531 1.3065 0.1924 -0.1013 0.5012
##
## Omnibus test of direct effect of X on Y:
## R2-chng F df1 df2 p
## 0.0066 1.0094 2.0000 296.0000 0.3657
##
## ----------
##
## Relative indirect effects of X on Y:
##
## condition_1 -> guilt -> punish_post
##
## Effect BootSE BootLLCI BootULCI
## X1 -0.0181 0.0235 -0.0749 0.0201
## X2 0.0607 0.0406 -0.0026 0.1529
##
## Normal theory test for relative indirect effects:
## Effect se Z p
## X1 -0.0181 0.0229 -0.7911 0.4289
## X2 0.0607 0.0346 1.7540 0.0794
##
## ******************** 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 -> blame_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 : blame_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: blame_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0871 0.0076 1.0904 1.1364 2.0000 297.0000 0.3224
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1793 0.1861 27.8315 0.0000 4.8131 5.5455
## manip_check 0.0366 0.0243 1.5076 0.1327 -0.0112 0.0845
## guilt 0.0072 0.0359 0.2020 0.8401 -0.0634 0.0779
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0864 0.0075 1.0869 2.2393 1.0000 298.0000 0.1356
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.2110 0.0997 52.2538 0.0000 5.0148 5.4073
## manip_check 0.0360 0.0240 1.4964 0.1356 -0.0113 0.0833
##
## ***********************************************************************
## 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
## 0.0360 0.0240 1.4964 0.1356 -0.0113 0.0833
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0366 0.0243 1.5076 0.1327 -0.0112 0.0845
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## guilt -0.0006 0.0045 -0.0106 0.0083
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## guilt -0.0006 0.0035 -0.1847 0.8535
##
## ******************** 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: condition -> SFC -> blame_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 : blame_post
## X : condition_1
## M : SFC
##
## Sample size: 300
##
## Custom seed: 1234
##
## Coding of categorical X variable for analysis:
## condition_1 X1 X2
## 0.0000 0.0000 0.0000
## 1.0000 1.0000 0.0000
## 2.0000 0.0000 1.0000
##
## ***********************************************************************
## Outcome Variable: SFC
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1406 0.0198 2.1959 2.9966 2.0000 297.0000 0.0515
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.9899 0.1489 20.0755 0.0000 2.6968 3.2830
## X1 0.4701 0.2101 2.2376 0.0260 0.0566 0.8836
## X2 0.4160 0.2096 1.9851 0.0480 0.0036 0.8285
##
## ***********************************************************************
## Outcome Variable: blame_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1661 0.0276 1.0720 2.7996 3.0000 296.0000 0.0403
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.0077 0.1598 31.3451 0.0000 4.6933 5.3221
## X1 -0.1328 0.1480 -0.8974 0.3702 -0.4242 0.1585
## X2 0.0586 0.1474 0.3976 0.6912 -0.2315 0.3487
## SFC 0.1055 0.0405 2.6030 0.0097 0.0257 0.1853
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0730 0.0053 1.0929 0.7962 2.0000 297.0000 0.4520
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.3232 0.1051 50.6645 0.0000 5.1165 5.5300
## X1 -0.0832 0.1482 -0.5616 0.5748 -0.3749 0.2085
## X2 0.1025 0.1479 0.6933 0.4886 -0.1885 0.3935
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Relative total effects of X on Y:
## effect se t p LLCI ULCI
## X1 -0.0832 0.1482 -0.5616 0.5748 -0.3749 0.2085
## X2 0.1025 0.1479 0.6933 0.4886 -0.1885 0.3935
##
## Omnibus test of total effect of X on Y:
## R2-chng F df1 df2 p
## 0.0053 0.7962 2.0000 297.0000 0.4520
## ----------
##
## Relative direct effects of X on Y:
## effect se t p LLCI ULCI
## X1 -0.1328 0.1480 -0.8974 0.3702 -0.4242 0.1585
## X2 0.0586 0.1474 0.3976 0.6912 -0.2315 0.3487
##
## Omnibus test of direct effect of X on Y:
## R2-chng F df1 df2 p
## 0.0059 0.8987 2.0000 296.0000 0.4082
##
## ----------
##
## Relative indirect effects of X on Y:
##
## condition_1 -> SFC -> blame_post
##
## Effect BootSE BootLLCI BootULCI
## X1 0.0496 0.0328 -0.0004 0.1237
## X2 0.0439 0.0311 -0.0035 0.1163
##
## Normal theory test for relative indirect effects:
## Effect se Z p
## X1 0.0496 0.0305 1.6291 0.1033
## X2 0.0439 0.0291 1.5096 0.1311
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: condition -> 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 : condition_1
## M : SFC
##
## Sample size: 300
##
## Custom seed: 1234
##
## Coding of categorical X variable for analysis:
## condition_1 X1 X2
## 0.0000 0.0000 0.0000
## 1.0000 1.0000 0.0000
## 2.0000 0.0000 1.0000
##
## ***********************************************************************
## Outcome Variable: SFC
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1406 0.0198 2.1959 2.9966 2.0000 297.0000 0.0515
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.9899 0.1489 20.0755 0.0000 2.6968 3.2830
## X1 0.4701 0.2101 2.2376 0.0260 0.0566 0.8836
## X2 0.4160 0.2096 1.9851 0.0480 0.0036 0.8285
##
## ***********************************************************************
## Outcome Variable: punish_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2921 0.0853 1.0656 9.2067 3.0000 296.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.2413 0.1593 26.6287 0.0000 3.9279 4.5548
## X1 0.0577 0.1476 0.3912 0.6959 -0.2327 0.3482
## X2 0.1775 0.1470 1.2081 0.2280 -0.1117 0.4668
## SFC 0.1997 0.0404 4.9404 0.0000 0.1201 0.2792
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punish_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0996 0.0099 1.1495 1.4887 2.0000 297.0000 0.2273
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8384 0.1078 44.9009 0.0000 4.6263 5.0504
## X1 0.1516 0.1520 0.9974 0.3194 -0.1475 0.4508
## X2 0.2606 0.1516 1.7188 0.0867 -0.0378 0.5590
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Relative total effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.1516 0.1520 0.9974 0.3194 -0.1475 0.4508
## X2 0.2606 0.1516 1.7188 0.0867 -0.0378 0.5590
##
## Omnibus test of total effect of X on Y:
## R2-chng F df1 df2 p
## 0.0099 1.4887 2.0000 297.0000 0.2273
## ----------
##
## Relative direct effects of X on Y:
## effect se t p LLCI ULCI
## X1 0.0577 0.1476 0.3912 0.6959 -0.2327 0.3482
## X2 0.1775 0.1470 1.2081 0.2280 -0.1117 0.4668
##
## Omnibus test of direct effect of X on Y:
## R2-chng F df1 df2 p
## 0.0047 0.7644 2.0000 296.0000 0.4665
##
## ----------
##
## Relative indirect effects of X on Y:
##
## condition_1 -> SFC -> punish_post
##
## Effect BootSE BootLLCI BootULCI
## X1 0.0939 0.0486 0.0095 0.2012
## X2 0.0831 0.0474 -0.0009 0.1854
##
## Normal theory test for relative indirect effects:
## Effect se Z p
## X1 0.0939 0.0468 2.0045 0.0450
## X2 0.0831 0.0459 1.8104 0.0702
##
## ******************** 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 -> blame_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 : blame_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: blame_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1594 0.0254 1.0708 3.8701 2.0000 297.0000 0.0219
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.9313 0.1553 31.7577 0.0000 4.6257 5.2369
## manip_check 0.0258 0.0243 1.0637 0.2883 -0.0219 0.0736
## SFC 0.0954 0.0408 2.3382 0.0200 0.0151 0.1756
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame_post
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0864 0.0075 1.0869 2.2393 1.0000 298.0000 0.1356
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.2110 0.0997 52.2538 0.0000 5.0148 5.4073
## manip_check 0.0360 0.0240 1.4964 0.1356 -0.0113 0.0833
##
## ***********************************************************************
## 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
## 0.0360 0.0240 1.4964 0.1356 -0.0113 0.0833
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0258 0.0243 1.0637 0.2883 -0.0219 0.0736
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SFC 0.0102 0.0062 0.0003 0.0244
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SFC 0.0102 0.0056 1.8189 0.0689
##
## ******************** 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: 10000