##
## ********************* 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: 138
## alpha: 0.966
##
## Bootstrap 95% CI based on 1000 samples
## 2.5% 97.5%
## 0.955 0.976##
## ********************* 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: 138
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SES
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.9155 0.8381 0.6907 703.9671 1.0000 136.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1544 0.1008 51.1451 0.0000 4.9551 5.3537
## security_1 -3.7544 0.1415 -26.5324 0.0000 -4.0342 -3.4746
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3817 0.1457 1.1114 11.5098 2.0000 135.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.3724 0.5751 7.6032 0.0000 3.2351 5.5097
## security_1 0.1568 0.4461 0.3515 0.7257 -0.7254 1.0391
## SES 0.2444 0.1088 2.2472 0.0262 0.0293 0.4596
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3372 0.1137 1.1445 17.4500 1.0000 136.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.6324 0.1297 43.4147 0.0000 5.3758 5.8889
## security_1 -0.7609 0.1822 -4.1773 0.0001 -1.1211 -0.4007
##
## ***********************************************************************
## 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
## -0.7609 0.1822 -4.1773 0.0001 -1.1211 -0.4007
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1568 0.4461 0.3515 0.7257 -0.7254 1.0391
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SES -0.9177 0.7353 -2.3090 0.5434
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SES -0.9177 0.4101 -2.2376 0.0252
##
## ******************** 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: 138
## alpha: 0.92
##
## Bootstrap 95% CI based on 1000 samples
## 2.5% 97.5%
## 0.895 0.939##
## ********************* 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: 138
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SEImpairment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.8412 0.7077 0.8131 329.2185 1.0000 136.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 1.6213 0.1094 14.8269 0.0000 1.4051 1.8376
## security_1 2.7858 0.1535 18.1444 0.0000 2.4822 3.0894
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3717 0.1382 1.1211 10.8239 2.0000 135.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.9520 0.2077 28.6572 0.0000 5.5413 6.3628
## security_1 -0.2117 0.3334 -0.6348 0.5266 -0.8711 0.4478
## SEImpairment -0.1972 0.1007 -1.9581 0.0523 -0.3963 0.0020
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3372 0.1137 1.1445 17.4500 1.0000 136.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.6324 0.1297 43.4147 0.0000 5.3758 5.8889
## security_1 -0.7609 0.1822 -4.1773 0.0001 -1.1211 -0.4007
##
## ***********************************************************************
## 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
## -0.7609 0.1822 -4.1773 0.0001 -1.1211 -0.4007
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.2117 0.3334 -0.6348 0.5266 -0.8711 0.4478
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SEImpairment -0.5493 0.3511 -1.3096 0.0579
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SEImpairment -0.5493 0.2826 -1.9439 0.0519
##
## ******************** 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: 138
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: surprise
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.6656 0.4431 2.3813 108.2046 1.0000 136.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.6618 0.1871 24.9111 0.0000 4.2917 5.0318
## security_1 -2.7332 0.2628 -10.4021 0.0000 -3.2528 -2.2136
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3376 0.1140 1.1526 8.6839 2.0000 135.0000 0.0003
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.5762 0.3071 18.1591 0.0000 4.9689 6.1835
## security_1 -0.7280 0.2450 -2.9720 0.0035 -1.2124 -0.2436
## surprise 0.0120 0.0597 0.2019 0.8403 -0.1059 0.1300
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3372 0.1137 1.1445 17.4500 1.0000 136.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.6324 0.1297 43.4147 0.0000 5.3758 5.8889
## security_1 -0.7609 0.1822 -4.1773 0.0001 -1.1211 -0.4007
##
## ***********************************************************************
## 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
## -0.7609 0.1822 -4.1773 0.0001 -1.1211 -0.4007
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.7280 0.2450 -2.9720 0.0035 -1.2124 -0.2436
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## surprise -0.0329 0.1674 -0.3760 0.2917
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## surprise -0.0329 0.1638 -0.2010 0.8407
##
## ******************** 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: 138
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: sympathy
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.5590 0.3125 2.2426 61.8078 1.0000 136.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 1.3382 0.1816 7.3691 0.0000 0.9791 1.6974
## security_1 2.0046 0.2550 7.8618 0.0000 1.5004 2.5089
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4486 0.2012 1.0392 17.0031 2.0000 135.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.9327 0.1462 40.5711 0.0000 5.6435 6.2219
## security_1 -0.3110 0.2093 -1.4856 0.1397 -0.7250 0.1030
## sympathy -0.2245 0.0584 -3.8454 0.0002 -0.3399 -0.1090
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3372 0.1137 1.1445 17.4500 1.0000 136.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.6324 0.1297 43.4147 0.0000 5.3758 5.8889
## security_1 -0.7609 0.1822 -4.1773 0.0001 -1.1211 -0.4007
##
## ***********************************************************************
## 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
## -0.7609 0.1822 -4.1773 0.0001 -1.1211 -0.4007
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.3110 0.2093 -1.4856 0.1397 -0.7250 0.1030
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## sympathy -0.4500 0.1247 -0.7160 -0.2253
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## sympathy -0.4500 0.1311 -3.4320 0.0006
##
## ******************** 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: 138
## alpha: 0.919
##
## Bootstrap 95% CI based on 1000 samples
## 2.5% 97.5%
## 0.877 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 : selfExpr
##
## Sample size: 138
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: selfExpr
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3129 0.0979 1.6037 14.7583 1.0000 136.0000 0.0002
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.4926 0.1536 29.2544 0.0000 4.1889 4.7963
## security_1 -0.8284 0.2156 -3.8417 0.0002 -1.2548 -0.4019
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4834 0.2337 0.9969 20.5864 2.0000 135.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.2359 0.3270 12.9548 0.0000 3.5892 4.8825
## security_1 -0.5034 0.1790 -2.8127 0.0056 -0.8574 -0.1495
## selfExpr 0.3108 0.0676 4.5977 0.0000 0.1771 0.4445
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3372 0.1137 1.1445 17.4500 1.0000 136.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.6324 0.1297 43.4147 0.0000 5.3758 5.8889
## security_1 -0.7609 0.1822 -4.1773 0.0001 -1.1211 -0.4007
##
## ***********************************************************************
## 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
## -0.7609 0.1822 -4.1773 0.0001 -1.1211 -0.4007
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.5034 0.1790 -2.8127 0.0056 -0.8574 -0.1495
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## selfExpr -0.2575 0.0909 -0.4630 -0.1089
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## selfExpr -0.2575 0.0885 -2.9078 0.0036
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000SE1, SE2, SE3
Mediation analysis: security -> selfExpr -> blame
##
## Cronbach's alpha for the 'dfselfExpr' data-set
##
## Items: 3
## Sample units: 138
## alpha: 0.611
##
## Bootstrap 95% CI based on 1000 samples
## 2.5% 97.5%
## 0.445 0.724##
## ********************* 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: 138
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: selfExpr
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.6627 0.4391 0.8604 106.4859 1.0000 136.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.5441 0.1125 40.3965 0.0000 4.3217 4.7666
## security_1 -1.6298 0.1579 -10.3192 0.0000 -1.9422 -1.3175
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4995 0.2495 0.9763 22.4438 2.0000 135.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.5808 0.4320 8.2887 0.0000 2.7264 4.4352
## security_1 -0.0251 0.2246 -0.1117 0.9112 -0.4694 0.4192
## selfExpr 0.4515 0.0913 4.9428 0.0000 0.2708 0.6321
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3372 0.1137 1.1445 17.4500 1.0000 136.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.6324 0.1297 43.4147 0.0000 5.3758 5.8889
## security_1 -0.7609 0.1822 -4.1773 0.0001 -1.1211 -0.4007
##
## ***********************************************************************
## 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
## -0.7609 0.1822 -4.1773 0.0001 -1.1211 -0.4007
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0251 0.2246 -0.1117 0.9112 -0.4694 0.4192
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## selfExpr -0.7358 0.1924 -1.1442 -0.3797
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## selfExpr -0.7358 0.1657 -4.4409 0.0000
##
## ******************** 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: 138
## alpha: 0.859
##
## Bootstrap 95% CI based on 1000 samples
## 2.5% 97.5%
## 0.799 0.901##
## ********************* 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: 138
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: selfFormControl
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4480 0.2007 1.3570 34.1503 1.0000 136.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.7353 0.1413 33.5207 0.0000 4.4559 5.0147
## security_1 -1.1591 0.1983 -5.8438 0.0000 -1.5513 -0.7669
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4950 0.2450 0.9822 21.9059 2.0000 135.0000 0.0000
##
## Model:
## coeff se t p LLCI
## constant 3.9585 0.3658 10.8229 0.0000 3.2352
## security_1 -0.3512 0.1887 -1.8607 0.0650 -0.7245
## selfFormControl 0.3535 0.0730 4.8454 0.0000 0.2092
## ULCI
## constant 4.6819
## security_1 0.0221
## selfFormControl 0.4978
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3372 0.1137 1.1445 17.4500 1.0000 136.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.6324 0.1297 43.4147 0.0000 5.3758 5.8889
## security_1 -0.7609 0.1822 -4.1773 0.0001 -1.1211 -0.4007
##
## ***********************************************************************
## 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
## -0.7609 0.1822 -4.1773 0.0001 -1.1211 -0.4007
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.3512 0.1887 -1.8607 0.0650 -0.7245 0.0221
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## selfFormControl -0.4097 0.1341 -0.7090 -0.1881
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## selfFormControl -0.4097 0.1108 -3.6980 0.0002
##
## ******************** 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: 138
## alpha: 0.815
##
## Bootstrap 95% CI based on 1000 samples
## 2.5% 97.5%
## 0.755 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: 138
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: selfFormControl2
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.5842 0.3413 1.0164 70.4648 1.0000 136.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.5588 0.1223 37.2886 0.0000 4.3171 4.8006
## security_1 -1.4410 0.1717 -8.3943 0.0000 -1.7804 -1.1015
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4826 0.2329 0.9980 20.4896 2.0000 135.0000 0.0000
##
## Model:
## coeff se t p LLCI
## constant 3.8586 0.4059 9.5073 0.0000 3.0560
## security_1 -0.2003 0.2096 -0.9557 0.3410 -0.6148
## selfFormControl2 0.3891 0.0850 4.5790 0.0000 0.2210
## ULCI
## constant 4.6613
## security_1 0.2142
## selfFormControl2 0.5571
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3372 0.1137 1.1445 17.4500 1.0000 136.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.6324 0.1297 43.4147 0.0000 5.3758 5.8889
## security_1 -0.7609 0.1822 -4.1773 0.0001 -1.1211 -0.4007
##
## ***********************************************************************
## 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
## -0.7609 0.1822 -4.1773 0.0001 -1.1211 -0.4007
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.2003 0.2096 -0.9557 0.3410 -0.6148 0.2142
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## selfFormControl2 -0.5606 0.1755 -0.9528 -0.2660
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## selfFormControl2 -0.5606 0.1402 -3.9980 0.0001
##
## ******************** 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: 138
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SE3
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.7810 0.6100 1.6950 212.6757 1.0000 136.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.6471 0.1579 29.4342 0.0000 4.3348 4.9593
## security_1 -3.2328 0.2217 -14.5834 0.0000 -3.6711 -2.7944
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3559 0.1267 1.1361 9.7910 2.0000 135.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1706 0.3509 14.7346 0.0000 4.4766 5.8646
## security_1 -0.4397 0.2906 -1.5131 0.1326 -1.0144 0.1350
## SE3 0.0994 0.0702 1.4154 0.1593 -0.0395 0.2382
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3372 0.1137 1.1445 17.4500 1.0000 136.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.6324 0.1297 43.4147 0.0000 5.3758 5.8889
## security_1 -0.7609 0.1822 -4.1773 0.0001 -1.1211 -0.4007
##
## ***********************************************************************
## 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
## -0.7609 0.1822 -4.1773 0.0001 -1.1211 -0.4007
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.4397 0.2906 -1.5131 0.1326 -1.0144 0.1350
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SE3 -0.3212 0.2470 -0.8737 0.0979
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SE3 -0.3212 0.2286 -1.4055 0.1599
##
## ******************** 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: 138
## alpha: 0.862
##
## Bootstrap 95% CI based on 1000 samples
## 2.5% 97.5%
## 0.790 0.914##
## ********************* 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 : circumstances
##
## Sample size: 138
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: circumstances
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.7707 0.5940 1.3201 198.9856 1.0000 136.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.3382 0.1393 31.1357 0.0000 4.0627 4.6138
## security_1 -2.7597 0.1956 -14.1062 0.0000 -3.1465 -2.3728
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3577 0.1279 1.1345 9.9013 2.0000 135.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1210 0.3683 13.9063 0.0000 4.3927 5.8493
## security_1 -0.4356 0.2846 -1.5305 0.1282 -0.9985 0.1273
## circumstances 0.1179 0.0795 1.4829 0.1404 -0.0393 0.2751
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3372 0.1137 1.1445 17.4500 1.0000 136.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.6324 0.1297 43.4147 0.0000 5.3758 5.8889
## security_1 -0.7609 0.1822 -4.1773 0.0001 -1.1211 -0.4007
##
## ***********************************************************************
## 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
## -0.7609 0.1822 -4.1773 0.0001 -1.1211 -0.4007
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.4356 0.2846 -1.5305 0.1282 -0.9985 0.1273
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## circumstances -0.3253 0.2320 -0.8267 0.0843
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## circumstances -0.3253 0.2211 -1.4711 0.1413
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000