##
## ********************* 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
## Mediation analysis: security -> SES -> blame
##
## Cronbach's alpha for the 'dfSES' data-set
##
## Items: 2
## Sample units: 137
## alpha: 0.854
##
## Bootstrap 95% CI based on 1000 samples
## 2.5% 97.5%
## 0.760 0.915##
## ********************* 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
## X : security_1
## M : SES
##
## Sample size: 137
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SES
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4363 0.1904 1.4091 31.7413 1.0000 135.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.8529 0.1440 26.7653 0.0000 3.5682 4.1376
## security_1 -1.1428 0.2028 -5.6339 0.0000 -1.5440 -0.7416
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1775 0.0315 1.0369 2.1799 2.0000 134.0000 0.1170
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.7301 0.3101 15.2535 0.0000 4.1168 5.3434
## security_1 0.3824 0.1934 1.9776 0.0500 -0.0000 0.7649
## SES 0.1082 0.0738 1.4658 0.1450 -0.0378 0.2542
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1264 0.0160 1.0457 2.1926 1.0000 135.0000 0.1410
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1471 0.1240 41.5063 0.0000 4.9018 5.3923
## security_1 0.2587 0.1747 1.4807 0.1410 -0.0868 0.6043
##
## ***********************************************************************
## 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
## 0.2587 0.1747 1.4807 0.1410 -0.0868 0.6043
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.3824 0.1934 1.9776 0.0500 -0.0000 0.7649
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SES -0.1237 0.0984 -0.3507 0.0359
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SES -0.1237 0.0885 -1.3981 0.1621
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: security -> SEImpairment -> blame
##
## Cronbach's alpha for the 'dfSEImpairment' data-set
##
## Items: 4
## Sample units: 137
## alpha: 0.924
##
## Bootstrap 95% CI based on 1000 samples
## 2.5% 97.5%
## 0.893 0.950##
## ********************* 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
## X : security_1
## M : SEImpairment
##
## Sample size: 137
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SEImpairment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.8227 0.6768 1.0750 282.7502 1.0000 135.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.5625 0.1257 36.2865 0.0000 4.3138 4.8112
## security_1 -2.9792 0.1772 -16.8152 0.0000 -3.3296 -2.6288
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1393 0.0194 1.0498 1.3268 2.0000 134.0000 0.2688
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.4130 0.4074 13.2850 0.0000 4.6071 6.2188
## security_1 0.0851 0.3080 0.2763 0.7827 -0.5240 0.6942
## SEImpairment -0.0583 0.0851 -0.6853 0.4944 -0.2265 0.1099
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1264 0.0160 1.0457 2.1926 1.0000 135.0000 0.1410
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1471 0.1240 41.5063 0.0000 4.9018 5.3923
## security_1 0.2587 0.1747 1.4807 0.1410 -0.0868 0.6043
##
## ***********************************************************************
## 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
## 0.2587 0.1747 1.4807 0.1410 -0.0868 0.6043
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0851 0.3080 0.2763 0.7827 -0.5240 0.6942
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SEImpairment 0.1736 0.2537 -0.3111 0.6935
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SEImpairment 0.1736 0.2540 0.6835 0.4943
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: security -> surprise -> blame
##
## ********************* 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
## X : security_1
## M : surprise
##
## Sample size: 137
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: surprise
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.5553 0.3084 3.3997 60.1910 1.0000 135.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.3382 0.2236 10.4574 0.0000 1.8960 2.7804
## security_1 2.4444 0.3151 7.7583 0.0000 1.8213 3.0675
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2248 0.0505 1.0165 3.5668 2.0000 134.0000 0.0310
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.9040 0.1645 29.8134 0.0000 4.5787 5.2294
## security_1 0.0047 0.2072 0.0225 0.9821 -0.4050 0.4144
## surprise 0.1039 0.0471 2.2086 0.0289 0.0109 0.1970
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1264 0.0160 1.0457 2.1926 1.0000 135.0000 0.1410
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1471 0.1240 41.5063 0.0000 4.9018 5.3923
## security_1 0.2587 0.1747 1.4807 0.1410 -0.0868 0.6043
##
## ***********************************************************************
## 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
## 0.2587 0.1747 1.4807 0.1410 -0.0868 0.6043
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0047 0.2072 0.0225 0.9821 -0.4050 0.4144
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## surprise 0.2541 0.1249 0.0426 0.5319
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## surprise 0.2541 0.1205 2.1081 0.0350
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: security -> sympathy -> blame
##
## ********************* 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
## X : security_1
## M : sympathy
##
## Sample size: 137
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: sympathy
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2747 0.0755 2.4962 11.0198 1.0000 135.0000 0.0012
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.8382 0.1916 14.8136 0.0000 2.4593 3.2172
## security_1 -0.8962 0.2700 -3.3196 0.0012 -1.4301 -0.3623
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3799 0.1443 0.9161 11.2976 2.0000 134.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.8104 0.1881 30.8942 0.0000 5.4384 6.1824
## security_1 0.0493 0.1701 0.2897 0.7725 -0.2871 0.3857
## sympathy -0.2337 0.0521 -4.4825 0.0000 -0.3368 -0.1306
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1264 0.0160 1.0457 2.1926 1.0000 135.0000 0.1410
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1471 0.1240 41.5063 0.0000 4.9018 5.3923
## security_1 0.2587 0.1747 1.4807 0.1410 -0.0868 0.6043
##
## ***********************************************************************
## 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
## 0.2587 0.1747 1.4807 0.1410 -0.0868 0.6043
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0493 0.1701 0.2897 0.7725 -0.2871 0.3857
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## sympathy 0.2095 0.0893 0.0649 0.4088
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## sympathy 0.2095 0.0798 2.6258 0.0086
##
## ******************** 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: security -> selfExpr -> blame
##
## Cronbach's alpha for the 'dfselfExpr' data-set
##
## Items: 2
## Sample units: 137
## alpha: 0.911
##
## Bootstrap 95% CI based on 1000 samples
## 2.5% 97.5%
## 0.859 0.945##
## ********************* 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
## X : security_1
## M : selfExpr
##
## Sample size: 137
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: selfExpr
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0169 0.0003 1.7672 0.0385 1.0000 135.0000 0.8448
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.9265 0.1612 24.3563 0.0000 3.6076 4.2453
## security_1 0.0445 0.2272 0.1961 0.8448 -0.4047 0.4938
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4146 0.1719 0.8866 13.9064 2.0000 134.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.9448 0.2652 14.8751 0.0000 3.4203 4.4694
## security_1 0.2451 0.1609 1.5231 0.1301 -0.0732 0.5634
## selfExpr 0.3062 0.0610 5.0226 0.0000 0.1856 0.4267
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1264 0.0160 1.0457 2.1926 1.0000 135.0000 0.1410
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1471 0.1240 41.5063 0.0000 4.9018 5.3923
## security_1 0.2587 0.1747 1.4807 0.1410 -0.0868 0.6043
##
## ***********************************************************************
## 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
## 0.2587 0.1747 1.4807 0.1410 -0.0868 0.6043
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.2451 0.1609 1.5231 0.1301 -0.0732 0.5634
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## selfExpr 0.0136 0.0725 -0.1208 0.1660
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## selfExpr 0.0136 0.0710 0.1922 0.8476
##
## ******************** 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
Mediation analysis: security -> selfFormControl -> blame
##
## Cronbach's alpha for the 'dfselfFormControl' data-set
##
## Items: 3
## Sample units: 137
## alpha: 0.865
##
## Bootstrap 95% CI based on 1000 samples
## 2.5% 97.5%
## 0.819 0.904##
## ********************* 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
## X : security_1
## M : selfFormControl
##
## Sample size: 137
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: selfFormControl
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2988 0.0893 1.4062 13.2311 1.0000 135.0000 0.0004
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.8088 0.1438 26.4860 0.0000 3.5244 4.0932
## security_1 0.7371 0.2026 3.6375 0.0004 0.3363 1.1378
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3506 0.1229 0.9390 9.3875 2.0000 134.0000 0.0002
##
## Model:
## coeff se t p LLCI
## constant 4.0644 0.2925 13.8947 0.0000 3.4859
## security_1 0.0492 0.1735 0.2838 0.7770 -0.2939
## selfFormControl 0.2842 0.0703 4.0415 0.0001 0.1451
## ULCI
## constant 4.6430
## security_1 0.3924
## selfFormControl 0.4233
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1264 0.0160 1.0457 2.1926 1.0000 135.0000 0.1410
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1471 0.1240 41.5063 0.0000 4.9018 5.3923
## security_1 0.2587 0.1747 1.4807 0.1410 -0.0868 0.6043
##
## ***********************************************************************
## 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
## 0.2587 0.1747 1.4807 0.1410 -0.0868 0.6043
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0492 0.1735 0.2838 0.7770 -0.2939 0.3924
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## selfFormControl 0.2095 0.0820 0.0724 0.3933
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## selfFormControl 0.2095 0.0788 2.6591 0.0078
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000SFC1, SFC2, SFC3, and SFC4
Mediation analysis: security -> selfFormControl2 -> blame
##
## Cronbach's alpha for the 'dfselfFormControl2' data-set
##
## Items: 4
## Sample units: 137
## alpha: 0.82
##
## Bootstrap 95% CI based on 1000 samples
## 2.5% 97.5%
## 0.759 0.864##
## ********************* 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
## X : security_1
## M : selfFormControl2
##
## Sample size: 137
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: selfFormControl2
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4226 0.1786 1.1053 29.3589 1.0000 135.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.3346 0.1275 26.1545 0.0000 3.0824 3.5867
## security_1 0.9734 0.1796 5.4184 0.0000 0.6181 1.3287
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3726 0.1388 0.9220 10.8009 2.0000 134.0000 0.0000
##
## Model:
## coeff se t p LLCI
## constant 4.0011 0.2868 13.9503 0.0000 3.4338
## security_1 -0.0758 0.1810 -0.4186 0.6762 -0.4338
## selfFormControl2 0.3437 0.0786 4.3721 0.0000 0.1882
## ULCI
## constant 4.5684
## security_1 0.2823
## selfFormControl2 0.4991
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1264 0.0160 1.0457 2.1926 1.0000 135.0000 0.1410
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1471 0.1240 41.5063 0.0000 4.9018 5.3923
## security_1 0.2587 0.1747 1.4807 0.1410 -0.0868 0.6043
##
## ***********************************************************************
## 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
## 0.2587 0.1747 1.4807 0.1410 -0.0868 0.6043
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0758 0.1810 -0.4186 0.6762 -0.4338 0.2823
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## selfFormControl2 0.3345 0.1025 0.1545 0.5568
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## selfFormControl2 0.3345 0.0993 3.3680 0.0008
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000SE3: To what extent do you think Kevin’s criminal behavior reflects the circumstances in which he grew up?
[0=Not at all, …, 6=Extremely]
Note: This variable has been reverse coded.
Mediation analysis: security -> SE3 -> blame
##
## ********************* 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
## X : security_1
## M : SE3
##
## Sample size: 137
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SE3
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.6363 0.4049 1.7236 91.8523 1.0000 135.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 1.6471 0.1592 10.3453 0.0000 1.3322 1.9619
## security_1 2.1500 0.2243 9.5840 0.0000 1.7064 2.5937
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2305 0.0531 1.0137 3.7588 2.0000 134.0000 0.0258
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8978 0.1635 29.9595 0.0000 4.5745 5.2212
## security_1 -0.0666 0.2230 -0.2987 0.7657 -0.5077 0.3745
## SE3 0.1513 0.0660 2.2926 0.0234 0.0208 0.2819
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1264 0.0160 1.0457 2.1926 1.0000 135.0000 0.1410
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1471 0.1240 41.5063 0.0000 4.9018 5.3923
## security_1 0.2587 0.1747 1.4807 0.1410 -0.0868 0.6043
##
## ***********************************************************************
## 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
## 0.2587 0.1747 1.4807 0.1410 -0.0868 0.6043
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0666 0.2230 -0.2987 0.7657 -0.5077 0.3745
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SE3 0.3253 0.1501 0.0418 0.6358
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SE3 0.3253 0.1467 2.2183 0.0265
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000SE3 and SFC4
Mediation analysis: security -> circumstances -> blame
##
## Cronbach's alpha for the 'dfcircumstances' data-set
##
## Items: 2
## Sample units: 137
## alpha: 0.878
##
## Bootstrap 95% CI based on 1000 samples
## 2.5% 97.5%
## 0.802 0.927##
## ********************* PROCESS for R Version 4.1.1 *********************
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## Written by Andrew F. Hayes, Ph.D. www.afhayes.com
## Documentation available in Hayes (2022). www.guilford.com/p/hayes3
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## ***********************************************************************
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## Model : 4
## Y : blame
## X : security_1
## M : circumstances
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## Sample size: 137
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## Custom seed: 1234
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## ***********************************************************************
## Outcome Variable: circumstances
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## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.6278 0.3942 1.4319 87.8293 1.0000 135.0000 0.0000
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## Model:
## coeff se t p LLCI ULCI
## constant 1.7794 0.1451 12.2626 0.0000 1.4924 2.0664
## security_1 1.9162 0.2045 9.3717 0.0000 1.5119 2.3206
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## ***********************************************************************
## Outcome Variable: blame
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## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2673 0.0715 0.9941 5.1573 2.0000 134.0000 0.0070
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## Model:
## coeff se t p LLCI ULCI
## constant 4.7860 0.1758 27.2254 0.0000 4.4383 5.1336
## security_1 -0.1301 0.2189 -0.5946 0.5531 -0.5630 0.3028
## circumstances 0.2029 0.0717 2.8299 0.0054 0.0611 0.3448
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## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
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## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1264 0.0160 1.0457 2.1926 1.0000 135.0000 0.1410
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## Model:
## coeff se t p LLCI ULCI
## constant 5.1471 0.1240 41.5063 0.0000 4.9018 5.3923
## security_1 0.2587 0.1747 1.4807 0.1410 -0.0868 0.6043
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## ***********************************************************************
## Bootstrapping in progress. Please wait.
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## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
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## Total effect of X on Y:
## effect se t p LLCI ULCI
## 0.2587 0.1747 1.4807 0.1410 -0.0868 0.6043
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## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.1301 0.2189 -0.5946 0.5531 -0.5630 0.3028
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## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## circumstances 0.3889 0.1535 0.1017 0.7117
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## Normal theory test for indirect effect(s):
## Effect se Z p
## circumstances 0.3889 0.1443 2.6950 0.0070
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## ******************** ANALYSIS NOTES AND ERRORS ************************
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## Level of confidence for all confidence intervals in output: 95
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## Number of bootstraps for percentile bootstrap confidence intervals: 10000