##
## ********************* 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: msec -> SES -> blame
##
## Cronbach's alpha for the 'dfSES' data-set
##
## Items: 2
## Sample units: 275
## alpha: 0.934
##
## Bootstrap 95% CI based on 1000 samples
## 2.5% 97.5%
## 0.907 0.954##
## ********************* 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 : mat_sec_1
## M : SES
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SES
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.7124 0.5076 1.4703 281.3962 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.0504 0.1028 19.9357 0.0000 1.8479 2.2528
## mat_sec_1 2.4533 0.1462 16.7749 0.0000 2.1654 2.7412
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2759 0.0761 1.0840 11.2030 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.6803 0.1384 33.8190 0.0000 4.4078 4.9527
## mat_sec_1 -0.2931 0.1790 -1.6377 0.1026 -0.6454 0.0592
## SES 0.2226 0.0520 4.2833 0.0000 0.1203 0.3249
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1174 0.0138 1.1529 3.8169 1.0000 273.0000 0.0518
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1367 0.0911 56.4015 0.0000 4.9574 5.3160
## mat_sec_1 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## ***********************************************************************
## 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
## 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.2931 0.1790 -1.6377 0.1026 -0.6454 0.0592
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SES 0.5461 0.1503 0.2756 0.8717
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SES 0.5461 0.1318 4.1432 0.0000
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: esec -> SES -> 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 : emo_sec_1
## M : SES
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SES
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3818 0.1458 2.5506 46.5857 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.6087 0.1360 19.1885 0.0000 2.3411 2.8763
## emo_sec_1 1.3147 0.1926 6.8254 0.0000 0.9355 1.6939
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2990 0.0894 1.0684 13.3523 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.6857 0.1349 34.7473 0.0000 4.4202 4.9512
## emo_sec_1 0.3489 0.1349 2.5870 0.0102 0.0834 0.6145
## SES 0.1233 0.0392 3.1468 0.0018 0.0461 0.2004
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2372 0.0562 1.1033 16.2714 1.0000 273.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.0072 0.0894 56.0008 0.0000 4.8312 5.1833
## emo_sec_1 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## ***********************************************************************
## 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
## 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.3489 0.1349 2.5870 0.0102 0.0834 0.6145
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SES 0.1621 0.0544 0.0606 0.2768
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SES 0.1621 0.0572 2.8328 0.0046
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: msec -> SEImpairment -> blame
##
## Cronbach's alpha for the 'dfSEImpairment' data-set
##
## Items: 4
## Sample units: 275
## alpha: 0.922
##
## Bootstrap 95% CI based on 1000 samples
## 2.5% 97.5%
## 0.902 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 : mat_sec_1
## M : SEImpairment
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SEImpairment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0249 0.0006 3.0290 0.1699 1.0000 273.0000 0.6805
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.0054 0.1476 20.3592 0.0000 2.7148 3.2960
## mat_sec_1 0.0865 0.2099 0.4122 0.6805 -0.3267 0.4998
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2811 0.0790 1.0806 11.6716 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.6136 0.1399 40.1202 0.0000 5.3382 5.8891
## mat_sec_1 0.2667 0.1254 2.1269 0.0343 0.0198 0.5137
## SEImpairment -0.1587 0.0361 -4.3899 0.0000 -0.2299 -0.0875
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1174 0.0138 1.1529 3.8169 1.0000 273.0000 0.0518
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1367 0.0911 56.4015 0.0000 4.9574 5.3160
## mat_sec_1 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## ***********************************************************************
## 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
## 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.2667 0.1254 2.1269 0.0343 0.0198 0.5137
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SEImpairment -0.0137 0.0336 -0.0812 0.0531
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SEImpairment -0.0137 0.0343 -0.4002 0.6890
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: esec -> SEImpairment -> 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 : emo_sec_1
## M : SEImpairment
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SEImpairment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.8306 0.6899 0.9399 607.3236 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.4837 0.0825 54.3291 0.0000 4.3212 4.6462
## emo_sec_1 -2.8815 0.1169 -24.6439 0.0000 -3.1117 -2.6513
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2572 0.0662 1.0957 9.6353 2.0000 272.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.5051 0.3062 17.9760 0.0000 4.9021 6.1080
## emo_sec_1 0.1911 0.2267 0.8428 0.4001 -0.2552 0.6374
## SEImpairment -0.1110 0.0653 -1.6991 0.0905 -0.2397 0.0176
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2372 0.0562 1.1033 16.2714 1.0000 273.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.0072 0.0894 56.0008 0.0000 4.8312 5.1833
## emo_sec_1 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## ***********************************************************************
## 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
## 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1911 0.2267 0.8428 0.4001 -0.2552 0.6374
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SEImpairment 0.3199 0.2079 -0.0647 0.7583
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SEImpairment 0.3199 0.1889 1.6936 0.0903
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: msec -> 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 : mat_sec_1
## M : surprise
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: surprise
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0363 0.0013 4.5766 0.3594 1.0000 273.0000 0.5494
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.3453 0.1815 18.4362 0.0000 2.9881 3.7026
## mat_sec_1 0.1547 0.2580 0.5995 0.5494 -0.3533 0.6626
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2550 0.0650 1.0970 9.4588 2.0000 272.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.7540 0.1331 35.7142 0.0000 4.4919 5.0160
## mat_sec_1 0.2353 0.1264 1.8615 0.0637 -0.0135 0.4842
## surprise 0.1144 0.0296 3.8609 0.0001 0.0561 0.1727
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1174 0.0138 1.1529 3.8169 1.0000 273.0000 0.0518
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1367 0.0911 56.4015 0.0000 4.9574 5.3160
## mat_sec_1 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## ***********************************************************************
## 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
## 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.2353 0.1264 1.8615 0.0637 -0.0135 0.4842
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## surprise 0.0177 0.0297 -0.0427 0.0769
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## surprise 0.0177 0.0308 0.5739 0.5661
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: esec -> 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 : emo_sec_1
## M : surprise
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: surprise
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.6077 0.3692 2.8905 159.8180 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.1304 0.1447 14.7204 0.0000 1.8455 2.4154
## emo_sec_1 2.5922 0.2050 12.6419 0.0000 2.1885 2.9959
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2609 0.0681 1.0935 9.9338 2.0000 272.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8599 0.1192 40.7650 0.0000 4.6252 5.0946
## emo_sec_1 0.3318 0.1588 2.0892 0.0376 0.0191 0.6444
## surprise 0.0691 0.0372 1.8575 0.0643 -0.0041 0.1424
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2372 0.0562 1.1033 16.2714 1.0000 273.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.0072 0.0894 56.0008 0.0000 4.8312 5.1833
## emo_sec_1 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## ***********************************************************************
## 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
## 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.3318 0.1588 2.0892 0.0376 0.0191 0.6444
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## surprise 0.1792 0.0968 -0.0016 0.3825
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## surprise 0.1792 0.0978 1.8322 0.0669
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: msec -> 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 : mat_sec_1
## M : sympathy
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: sympathy
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1631 0.0266 2.8816 7.4610 1.0000 273.0000 0.0067
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.6475 0.1440 18.3876 0.0000 2.3640 2.9309
## mat_sec_1 -0.5592 0.2047 -2.7315 0.0067 -0.9623 -0.1562
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4122 0.1699 0.9740 27.8369 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.8030 0.1252 46.3346 0.0000 5.5564 6.0495
## mat_sec_1 0.1123 0.1206 0.9306 0.3529 -0.1253 0.3498
## sympathy -0.2517 0.0352 -7.1523 0.0000 -0.3209 -0.1824
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1174 0.0138 1.1529 3.8169 1.0000 273.0000 0.0518
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1367 0.0911 56.4015 0.0000 4.9574 5.3160
## mat_sec_1 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## ***********************************************************************
## 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
## 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1123 0.1206 0.9306 0.3529 -0.1253 0.3498
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## sympathy 0.1407 0.0560 0.0377 0.2568
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## sympathy 0.1407 0.0556 2.5302 0.0114
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: esec -> 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 : emo_sec_1
## M : sympathy
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: sympathy
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4235 0.1793 2.4295 59.6494 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.0942 0.1327 23.3201 0.0000 2.8330 3.3554
## emo_sec_1 -1.4519 0.1880 -7.7233 0.0000 -1.8220 -1.0818
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4150 0.1723 0.9712 28.3012 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.7383 0.1451 39.5436 0.0000 5.4526 6.0240
## emo_sec_1 0.1680 0.1312 1.2803 0.2015 -0.0903 0.4263
## sympathy -0.2363 0.0383 -6.1740 0.0000 -0.3116 -0.1609
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2372 0.0562 1.1033 16.2714 1.0000 273.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.0072 0.0894 56.0008 0.0000 4.8312 5.1833
## emo_sec_1 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## ***********************************************************************
## 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
## 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1680 0.1312 1.2803 0.2015 -0.0903 0.4263
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## sympathy 0.3430 0.0766 0.2047 0.5068
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## sympathy 0.3430 0.0715 4.7980 0.0000
##
## ******************** 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: msec -> selfExpr -> blame
##
## Cronbach's alpha for the 'dfselfExpr' data-set
##
## Items: 2
## Sample units: 275
## alpha: 0.915
##
## Bootstrap 95% CI based on 1000 samples
## 2.5% 97.5%
## 0.886 0.940##
## ********************* 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 : mat_sec_1
## M : selfExpr
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: selfExpr
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1485 0.0221 1.7247 6.1562 1.0000 273.0000 0.0137
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.8165 0.1114 34.2624 0.0000 3.5973 4.0358
## mat_sec_1 0.3930 0.1584 2.4812 0.0137 0.0812 0.7048
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4189 0.1755 0.9674 28.9454 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.8732 0.1921 20.1662 0.0000 3.4951 4.2513
## mat_sec_1 0.1229 0.1200 1.0245 0.3065 -0.1133 0.3591
## selfExpr 0.3311 0.0453 7.3036 0.0000 0.2418 0.4203
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1174 0.0138 1.1529 3.8169 1.0000 273.0000 0.0518
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1367 0.0911 56.4015 0.0000 4.9574 5.3160
## mat_sec_1 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## ***********************************************************************
## 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
## 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1229 0.1200 1.0245 0.3065 -0.1133 0.3591
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## selfExpr 0.1301 0.0538 0.0287 0.2410
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## selfExpr 0.1301 0.0558 2.3298 0.0198
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: esec -> selfExpr -> 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 : emo_sec_1
## M : selfExpr
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: selfExpr
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1649 0.0272 1.7156 7.6332 1.0000 273.0000 0.0061
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.7935 0.1115 34.0223 0.0000 3.5740 4.0130
## emo_sec_1 0.4364 0.1580 2.7628 0.0061 0.1255 0.7474
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4490 0.2016 0.9368 34.3326 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.8136 0.1886 20.2196 0.0000 3.4422 4.1849
## emo_sec_1 0.3737 0.1184 3.1571 0.0018 0.1407 0.6067
## selfExpr 0.3147 0.0447 7.0358 0.0000 0.2266 0.4027
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2372 0.0562 1.1033 16.2714 1.0000 273.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.0072 0.0894 56.0008 0.0000 4.8312 5.1833
## emo_sec_1 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## ***********************************************************************
## 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
## 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.3737 0.1184 3.1571 0.0018 0.1407 0.6067
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## selfExpr 0.1373 0.0567 0.0360 0.2609
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## selfExpr 0.1373 0.0539 2.5494 0.0108
##
## ******************** 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: msec -> selfFormControl -> blame
##
## Cronbach's alpha for the 'dfselfFormControl' data-set
##
## Items: 3
## Sample units: 275
## alpha: 0.862
##
## Bootstrap 95% CI based on 1000 samples
## 2.5% 97.5%
## 0.822 0.891##
## ********************* 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 : mat_sec_1
## M : selfFormControl
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: selfFormControl
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0848 0.0072 1.5980 1.9793 1.0000 273.0000 0.1606
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.0576 0.1072 37.8429 0.0000 3.8465 4.2686
## mat_sec_1 0.2145 0.1525 1.4069 0.1606 -0.0857 0.5147
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4252 0.1808 0.9612 30.0150 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI
## constant 3.7184 0.2078 17.8922 0.0000 3.3093
## mat_sec_1 0.1780 0.1187 1.5002 0.1347 -0.0556
## selfFormControl 0.3495 0.0469 7.4466 0.0000 0.2571
## ULCI
## constant 4.1276
## mat_sec_1 0.4117
## selfFormControl 0.4420
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1174 0.0138 1.1529 3.8169 1.0000 273.0000 0.0518
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1367 0.0911 56.4015 0.0000 4.9574 5.3160
## mat_sec_1 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## ***********************************************************************
## 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
## 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1780 0.1187 1.5002 0.1347 -0.0556 0.4117
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## selfFormControl 0.0750 0.0547 -0.0281 0.1870
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## selfFormControl 0.0750 0.0547 1.3706 0.1705
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: esec -> selfFormControl -> 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 : emo_sec_1
## M : selfFormControl
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: selfFormControl
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3754 0.1409 1.3827 44.7851 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.6908 0.1001 36.8716 0.0000 3.4938 3.8879
## emo_sec_1 0.9491 0.1418 6.6922 0.0000 0.6699 1.2283
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4261 0.1816 0.9603 30.1727 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI
## constant 3.8058 0.2040 18.6570 0.0000 3.4042
## emo_sec_1 0.2021 0.1275 1.5847 0.1142 -0.0490
## selfFormControl 0.3255 0.0504 6.4538 0.0000 0.2262
## ULCI
## constant 4.2074
## emo_sec_1 0.4531
## selfFormControl 0.4248
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2372 0.0562 1.1033 16.2714 1.0000 273.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.0072 0.0894 56.0008 0.0000 4.8312 5.1833
## emo_sec_1 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## ***********************************************************************
## 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
## 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.2021 0.1275 1.5847 0.1142 -0.0490 0.4531
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## selfFormControl 0.3089 0.0738 0.1794 0.4687
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## selfFormControl 0.3089 0.0669 4.6189 0.0000
##
## ******************** 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: msec -> circumstances -> blame
##
## Cronbach's alpha for the 'dfcircumstances' data-set
##
## Items: 2
## Sample units: 275
## alpha: 0.868
##
## Bootstrap 95% CI based on 1000 samples
## 2.5% 97.5%
## 0.819 0.906##
## ********************* 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 : mat_sec_1
## M : circumstances
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: circumstances
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1288 0.0166 2.7516 4.6047 1.0000 273.0000 0.0328
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.6295 0.1407 18.6889 0.0000 2.3525 2.9065
## mat_sec_1 0.4293 0.2001 2.1459 0.0328 0.0354 0.8232
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3127 0.0978 1.0586 14.7430 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.6399 0.1318 35.2163 0.0000 4.3805 4.8993
## mat_sec_1 0.1719 0.1251 1.3737 0.1707 -0.0745 0.4183
## circumstances 0.1889 0.0375 5.0328 0.0000 0.1150 0.2628
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1174 0.0138 1.1529 3.8169 1.0000 273.0000 0.0518
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1367 0.0911 56.4015 0.0000 4.9574 5.3160
## mat_sec_1 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## ***********************************************************************
## 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
## 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1719 0.1251 1.3737 0.1707 -0.0745 0.4183
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## circumstances 0.0811 0.0409 0.0059 0.1684
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## circumstances 0.0811 0.0418 1.9418 0.0522
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: esec -> circumstances -> 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 : emo_sec_1
## M : circumstances
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: circumstances
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.7011 0.4916 1.4226 263.9509 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 1.6775 0.1015 16.5223 0.0000 1.4777 1.8774
## emo_sec_1 2.3371 0.1438 16.2466 0.0000 2.0539 2.6203
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3046 0.0928 1.0645 13.9078 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.7166 0.1242 37.9744 0.0000 4.4721 4.9611
## emo_sec_1 0.1061 0.1745 0.6080 0.5437 -0.2375 0.4497
## circumstances 0.1733 0.0524 3.3093 0.0011 0.0702 0.2763
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2372 0.0562 1.1033 16.2714 1.0000 273.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.0072 0.0894 56.0008 0.0000 4.8312 5.1833
## emo_sec_1 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## ***********************************************************************
## 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
## 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1061 0.1745 0.6080 0.5437 -0.2375 0.4497
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## circumstances 0.4049 0.1305 0.1566 0.6710
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## circumstances 0.4049 0.1251 3.2368 0.0012
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000