##
## ********************* 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 = blame_post ~ manip_check, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.4269 -0.4269 0.5731 0.6810 0.7890
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.21102 0.09973 52.254 <2e-16 ***
## manip_check 0.03598 0.02405 1.496 0.136
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.043 on 298 degrees of freedom
## Multiple R-squared: 0.007458, Adjusted R-squared: 0.004128
## F-statistic: 2.239 on 1 and 298 DF, p-value: 0.1356Mediation 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 -> 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 -> 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 -> 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: 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: 10000