##
## ********************* 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 with emo_sec_check as covariate
##
## 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
##
## Covariates:
## emo_sec_check
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SES
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.8093 0.6549 1.0342 258.0926 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 1.3779 0.1065 12.9432 0.0000 1.1683 1.5875
## mat_sec_1 2.3998 0.1228 19.5491 0.0000 2.1581 2.6415
## emo_sec_check 0.2506 0.0233 10.7761 0.0000 0.2048 0.2964
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3075 0.0945 1.0663 9.4311 3.0000 271.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.6647 0.1374 33.9453 0.0000 4.3942 4.9352
## mat_sec_1 -0.1132 0.1933 -0.5855 0.5587 -0.4938 0.2674
## SES 0.1435 0.0616 2.3308 0.0205 0.0223 0.2647
## emo_sec_check 0.0662 0.0282 2.3485 0.0196 0.0107 0.1218
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2764 0.0764 1.0837 11.2472 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8624 0.1090 44.6177 0.0000 4.6479 5.0770
## mat_sec_1 0.2312 0.1257 1.8397 0.0669 -0.0162 0.4786
## emo_sec_check 0.1022 0.0238 4.2935 0.0000 0.0553 0.1491
##
## ***********************************************************************
## 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
## 0.2312 0.1257 1.8397 0.0669 -0.0162 0.4786
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.1132 0.1933 -0.5855 0.5587 -0.4938 0.2674
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SES 0.3444 0.1908 -0.0068 0.7417
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SES 0.3444 0.1490 2.3114 0.0208
##
## ******************** 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 with mat_sec_check as covariate
##
## ********************* 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
##
## Covariates:
## mat_sec_check
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SES
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.7754 0.6012 1.1951 205.0357 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 1.2976 0.1191 10.8915 0.0000 1.0630 1.5321
## emo_sec_1 0.6221 0.1376 4.5219 0.0000 0.3513 0.8930
## mat_sec_check 0.5170 0.0293 17.6252 0.0000 0.4592 0.5747
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2990 0.0894 1.0724 8.8688 3.0000 271.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.6856 0.1352 34.6456 0.0000 4.4194 4.9519
## emo_sec_1 0.3489 0.1351 2.5822 0.0103 0.0829 0.6150
## SES 0.1237 0.0574 2.1531 0.0322 0.0106 0.2367
## mat_sec_check -0.0004 0.0407 -0.0095 0.9924 -0.0804 0.0797
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2717 0.0738 1.0867 10.8405 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8461 0.1136 42.6564 0.0000 4.6224 5.0697
## emo_sec_1 0.4259 0.1312 3.2462 0.0013 0.1676 0.6842
## mat_sec_check 0.0635 0.0280 2.2719 0.0239 0.0085 0.1186
##
## ***********************************************************************
## 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
## 0.4259 0.1312 3.2462 0.0013 0.1676 0.6842
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.3489 0.1351 2.5822 0.0103 0.0829 0.6150
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SES 0.0769 0.0385 0.0053 0.1555
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SES 0.0769 0.0404 1.9063 0.0566
##
## ******************** 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 with emo_sec_check as covariate
##
## 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
##
## Covariates:
## emo_sec_check
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SEImpairment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.8700 0.7569 0.7396 423.3388 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.5403 0.0900 50.4290 0.0000 4.3630 4.7175
## mat_sec_1 0.2087 0.1038 2.0103 0.0454 0.0043 0.4131
## emo_sec_check -0.5720 0.0197 -29.0858 0.0000 -0.6107 -0.5333
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2868 0.0823 1.0808 8.0965 3.0000 271.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.3007 0.3501 15.1395 0.0000 4.6114 5.9900
## mat_sec_1 0.2513 0.1264 1.9880 0.0478 0.0024 0.5002
## SEImpairment -0.0965 0.0733 -1.3170 0.1890 -0.2408 0.0478
## emo_sec_check 0.0470 0.0482 0.9750 0.3304 -0.0479 0.1419
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2764 0.0764 1.0837 11.2472 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8624 0.1090 44.6177 0.0000 4.6479 5.0770
## mat_sec_1 0.2312 0.1257 1.8397 0.0669 -0.0162 0.4786
## emo_sec_check 0.1022 0.0238 4.2935 0.0000 0.0553 0.1491
##
## ***********************************************************************
## 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
## 0.2312 0.1257 1.8397 0.0669 -0.0162 0.4786
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.2513 0.1264 1.9880 0.0478 0.0024 0.5002
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SEImpairment -0.0201 0.0188 -0.0635 0.0089
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SEImpairment -0.0201 0.0198 -1.0171 0.3091
##
## ******************** 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 with mat_sec_check as covariate
##
## ********************* 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
##
## Covariates:
## mat_sec_check
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SEImpairment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.8318 0.6920 0.9370 305.5165 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.3943 0.1055 41.6553 0.0000 4.1867 4.6020
## emo_sec_1 -2.9287 0.1218 -24.0412 0.0000 -3.1685 -2.6889
## mat_sec_check 0.0352 0.0260 1.3566 0.1760 -0.0159 0.0864
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2934 0.0861 1.0763 8.5105 3.0000 271.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.3909 0.3071 17.5528 0.0000 4.7862 5.9956
## emo_sec_1 0.0628 0.2308 0.2720 0.7858 -0.3916 0.5171
## SEImpairment -0.1240 0.0650 -1.9079 0.0575 -0.2519 0.0040
## mat_sec_check 0.0679 0.0279 2.4316 0.0157 0.0129 0.1229
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2717 0.0738 1.0867 10.8405 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8461 0.1136 42.6564 0.0000 4.6224 5.0697
## emo_sec_1 0.4259 0.1312 3.2462 0.0013 0.1676 0.6842
## mat_sec_check 0.0635 0.0280 2.2719 0.0239 0.0085 0.1186
##
## ***********************************************************************
## 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
## 0.4259 0.1312 3.2462 0.0013 0.1676 0.6842
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0628 0.2308 0.2720 0.7858 -0.3916 0.5171
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SEImpairment 0.3631 0.2119 -0.0309 0.8062
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SEImpairment 0.3631 0.1911 1.9003 0.0574
##
## ******************** 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 with emo_sec_check as covariate
##
## ********************* 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
##
## Covariates:
## emo_sec_check
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: surprise
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.6244 0.3898 2.8065 86.8914 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 1.9925 0.1754 11.3616 0.0000 1.6473 2.3378
## mat_sec_1 0.0470 0.2022 0.2324 0.8164 -0.3511 0.4451
## emo_sec_check 0.5041 0.0383 13.1604 0.0000 0.4287 0.5795
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2906 0.0845 1.0782 8.3349 3.0000 271.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.7466 0.1320 35.9590 0.0000 4.4867 5.0064
## mat_sec_1 0.2285 0.1254 1.8225 0.0695 -0.0183 0.4752
## surprise 0.0582 0.0376 1.5476 0.1229 -0.0158 0.1322
## emo_sec_check 0.0729 0.0304 2.3993 0.0171 0.0131 0.1327
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2764 0.0764 1.0837 11.2472 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8624 0.1090 44.6177 0.0000 4.6479 5.0770
## mat_sec_1 0.2312 0.1257 1.8397 0.0669 -0.0162 0.4786
## emo_sec_check 0.1022 0.0238 4.2935 0.0000 0.0553 0.1491
##
## ***********************************************************************
## 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
## 0.2312 0.1257 1.8397 0.0669 -0.0162 0.4786
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.2285 0.1254 1.8225 0.0695 -0.0183 0.4752
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## surprise 0.0027 0.0136 -0.0246 0.0332
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## surprise 0.0027 0.0141 0.1937 0.8464
##
## ******************** 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 with mat_sec_check as covariate
##
## ********************* 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
##
## Covariates:
## mat_sec_check
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: surprise
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.6084 0.3702 2.8970 79.9257 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.0581 0.1855 11.0953 0.0000 1.6929 2.4233
## emo_sec_1 2.5540 0.2142 11.9234 0.0000 2.1323 2.9757
## mat_sec_check 0.0285 0.0457 0.6247 0.5327 -0.0614 0.1184
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2909 0.0846 1.0780 8.3480 3.0000 271.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.7102 0.1364 34.5379 0.0000 4.4417 4.9786
## emo_sec_1 0.2572 0.1612 1.5951 0.1119 -0.0602 0.5746
## surprise 0.0660 0.0370 1.7857 0.0753 -0.0068 0.1389
## mat_sec_check 0.0617 0.0279 2.2118 0.0278 0.0068 0.1165
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2717 0.0738 1.0867 10.8405 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8461 0.1136 42.6564 0.0000 4.6224 5.0697
## emo_sec_1 0.4259 0.1312 3.2462 0.0013 0.1676 0.6842
## mat_sec_check 0.0635 0.0280 2.2719 0.0239 0.0085 0.1186
##
## ***********************************************************************
## 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
## 0.4259 0.1312 3.2462 0.0013 0.1676 0.6842
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.2572 0.1612 1.5951 0.1119 -0.0602 0.5746
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## surprise 0.1687 0.0954 -0.0083 0.3681
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## surprise 0.1687 0.0958 1.7599 0.0784
##
## ******************** 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 with emo_sec_check as covariate
##
## ********************* 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
##
## Covariates:
## emo_sec_check
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: sympathy
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4815 0.2319 2.2823 41.0522 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.4378 0.1582 21.7371 0.0000 3.1264 3.7491
## mat_sec_1 -0.4963 0.1824 -2.7218 0.0069 -0.8554 -0.1373
## emo_sec_check -0.2945 0.0345 -8.5255 0.0000 -0.3625 -0.2265
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4194 0.1759 0.9705 19.2806 3.0000 271.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.6400 0.1706 33.0552 0.0000 5.3041 5.9759
## mat_sec_1 0.1189 0.1205 0.9867 0.3247 -0.1184 0.3562
## sympathy -0.2262 0.0395 -5.7205 0.0000 -0.3040 -0.1483
## emo_sec_check 0.0356 0.0254 1.4034 0.1616 -0.0143 0.0855
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2764 0.0764 1.0837 11.2472 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8624 0.1090 44.6177 0.0000 4.6479 5.0770
## mat_sec_1 0.2312 0.1257 1.8397 0.0669 -0.0162 0.4786
## emo_sec_check 0.1022 0.0238 4.2935 0.0000 0.0553 0.1491
##
## ***********************************************************************
## 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
## 0.2312 0.1257 1.8397 0.0669 -0.0162 0.4786
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1189 0.1205 0.9867 0.3247 -0.1184 0.3562
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## sympathy 0.1123 0.0473 0.0294 0.2136
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## sympathy 0.1123 0.0462 2.4277 0.0152
##
## ******************** 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 with mat_sec_check as covariate
##
## ********************* 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
##
## Covariates:
## mat_sec_check
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: sympathy
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4453 0.1983 2.3820 33.6428 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.3608 0.1682 19.9817 0.0000 3.0297 3.6920
## emo_sec_1 -1.3110 0.1942 -6.7499 0.0000 -1.6934 -0.9286
## mat_sec_check -0.1051 0.0414 -2.5389 0.0117 -0.1867 -0.0236
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4230 0.1789 0.9670 19.6853 3.0000 271.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.6108 0.1684 33.3281 0.0000 5.2794 5.9422
## emo_sec_1 0.1276 0.1337 0.9541 0.3409 -0.1357 0.3908
## sympathy -0.2275 0.0386 -5.8898 0.0000 -0.3036 -0.1515
## mat_sec_check 0.0396 0.0267 1.4843 0.1389 -0.0129 0.0922
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2717 0.0738 1.0867 10.8405 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8461 0.1136 42.6564 0.0000 4.6224 5.0697
## emo_sec_1 0.4259 0.1312 3.2462 0.0013 0.1676 0.6842
## mat_sec_check 0.0635 0.0280 2.2719 0.0239 0.0085 0.1186
##
## ***********************************************************************
## 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
## 0.4259 0.1312 3.2462 0.0013 0.1676 0.6842
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1276 0.1337 0.9541 0.3409 -0.1357 0.3908
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## sympathy 0.2983 0.0724 0.1695 0.4524
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## sympathy 0.2983 0.0676 4.4105 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 with emo_sec_check as covariate
##
## 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
##
## Covariates:
## emo_sec_check
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: selfExpr
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2528 0.0639 1.6569 9.2874 2.0000 272.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.5410 0.1348 26.2778 0.0000 3.2758 3.8063
## mat_sec_1 0.3711 0.1554 2.3882 0.0176 0.0652 0.6770
## emo_sec_check 0.1027 0.0294 3.4881 0.0006 0.0447 0.1606
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4523 0.2046 0.9367 23.2386 3.0000 271.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.7954 0.1906 19.9134 0.0000 3.4201 4.1706
## mat_sec_1 0.1194 0.1180 1.0112 0.3128 -0.1130 0.3518
## selfExpr 0.3013 0.0456 6.6099 0.0000 0.2116 0.3911
## emo_sec_check 0.0713 0.0226 3.1505 0.0018 0.0267 0.1158
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2764 0.0764 1.0837 11.2472 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8624 0.1090 44.6177 0.0000 4.6479 5.0770
## mat_sec_1 0.2312 0.1257 1.8397 0.0669 -0.0162 0.4786
## emo_sec_check 0.1022 0.0238 4.2935 0.0000 0.0553 0.1491
##
## ***********************************************************************
## 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
## 0.2312 0.1257 1.8397 0.0669 -0.0162 0.4786
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1194 0.1180 1.0112 0.3128 -0.1130 0.3518
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## selfExpr 0.1118 0.0485 0.0216 0.2133
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## selfExpr 0.1118 0.0503 2.2237 0.0262
##
## ******************** 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 with mat_sec_check as covariate
##
## ********************* 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
##
## Covariates:
## mat_sec_check
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: selfExpr
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2275 0.0518 1.6785 7.4249 2.0000 272.0000 0.0007
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.5594 0.1412 25.2103 0.0000 3.2815 3.8374
## emo_sec_1 0.3128 0.1630 1.9187 0.0561 -0.0082 0.6338
## mat_sec_check 0.0923 0.0348 2.6547 0.0084 0.0238 0.1607
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4548 0.2069 0.9340 23.5627 3.0000 271.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.7605 0.1924 19.5464 0.0000 3.3818 4.1393
## emo_sec_1 0.3305 0.1224 2.6989 0.0074 0.0894 0.5715
## selfExpr 0.3050 0.0452 6.7426 0.0000 0.2159 0.3940
## mat_sec_check 0.0354 0.0263 1.3479 0.1788 -0.0163 0.0871
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2717 0.0738 1.0867 10.8405 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8461 0.1136 42.6564 0.0000 4.6224 5.0697
## emo_sec_1 0.4259 0.1312 3.2462 0.0013 0.1676 0.6842
## mat_sec_check 0.0635 0.0280 2.2719 0.0239 0.0085 0.1186
##
## ***********************************************************************
## 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
## 0.4259 0.1312 3.2462 0.0013 0.1676 0.6842
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.3305 0.1224 2.6989 0.0074 0.0894 0.5715
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## selfExpr 0.0954 0.0550 -0.0021 0.2133
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## selfExpr 0.0954 0.0522 1.8269 0.0677
##
## ******************** 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 with emo_sec_check as covariate
##
## 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
##
## Covariates:
## emo_sec_check
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: selfFormControl
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4342 0.1885 1.3110 31.5893 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.5099 0.1199 29.2824 0.0000 3.2739 3.7459
## mat_sec_1 0.1709 0.1382 1.2366 0.2173 -0.1012 0.4430
## emo_sec_check 0.2041 0.0262 7.7952 0.0000 0.1525 0.2556
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4333 0.1878 0.9565 20.8846 3.0000 271.0000 0.0000
##
## Model:
## coeff se t p LLCI
## constant 3.7542 0.2086 17.9939 0.0000 3.3434
## mat_sec_1 0.1772 0.1184 1.4969 0.1356 -0.0559
## selfFormControl 0.3158 0.0518 6.0966 0.0000 0.2138
## emo_sec_check 0.0378 0.0247 1.5265 0.1281 -0.0109
## ULCI
## constant 4.1649
## mat_sec_1 0.4103
## selfFormControl 0.4177
## emo_sec_check 0.0865
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2764 0.0764 1.0837 11.2472 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8624 0.1090 44.6177 0.0000 4.6479 5.0770
## mat_sec_1 0.2312 0.1257 1.8397 0.0669 -0.0162 0.4786
## emo_sec_check 0.1022 0.0238 4.2935 0.0000 0.0553 0.1491
##
## ***********************************************************************
## 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
## 0.2312 0.1257 1.8397 0.0669 -0.0162 0.4786
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1772 0.1184 1.4969 0.1356 -0.0559 0.4103
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## selfFormControl 0.0540 0.0455 -0.0311 0.1474
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## selfFormControl 0.0540 0.0451 1.1965 0.2315
##
## ******************** 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 with mat_sec_check as covariate
##
## ********************* 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
##
## Covariates:
## mat_sec_check
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: selfFormControl
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3899 0.1521 1.3698 24.3884 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.5403 0.1276 27.7563 0.0000 3.2892 3.7915
## emo_sec_1 0.8696 0.1473 5.9039 0.0000 0.5796 1.1596
## mat_sec_check 0.0593 0.0314 1.8895 0.0599 -0.0025 0.1212
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4361 0.1902 0.9537 21.2171 3.0000 271.0000 0.0000
##
## Model:
## coeff se t p LLCI
## constant 3.7283 0.2083 17.8949 0.0000 3.3181
## emo_sec_1 0.1513 0.1305 1.1592 0.2474 -0.1057
## selfFormControl 0.3157 0.0506 6.2406 0.0000 0.2161
## mat_sec_check 0.0448 0.0264 1.6991 0.0904 -0.0071
## ULCI
## constant 4.1385
## emo_sec_1 0.4083
## selfFormControl 0.4153
## mat_sec_check 0.0967
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2717 0.0738 1.0867 10.8405 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8461 0.1136 42.6564 0.0000 4.6224 5.0697
## emo_sec_1 0.4259 0.1312 3.2462 0.0013 0.1676 0.6842
## mat_sec_check 0.0635 0.0280 2.2719 0.0239 0.0085 0.1186
##
## ***********************************************************************
## 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
## 0.4259 0.1312 3.2462 0.0013 0.1676 0.6842
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1513 0.1305 1.1592 0.2474 -0.1057 0.4083
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## selfFormControl 0.2746 0.0706 0.1512 0.4269
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## selfFormControl 0.2746 0.0644 4.2600 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, and SFC4
Mediation analysis: msec -> selfFormControl2 -> blame with emo_sec_check as covariate
##
## Cronbach's alpha for the 'dfselfFormControl2' data-set
##
## Items: 4
## Sample units: 275
## alpha: 0.817
##
## Bootstrap 95% CI based on 1000 samples
## 2.5% 97.5%
## 0.775 0.852##
## ********************* 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 : selfFormControl2
##
## Covariates:
## emo_sec_check
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: selfFormControl2
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.5621 0.3159 0.9846 62.8137 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.0370 0.1039 29.2362 0.0000 2.8325 3.2415
## mat_sec_1 0.1846 0.1198 1.5411 0.1244 -0.0512 0.4204
## emo_sec_check 0.2503 0.0227 11.0305 0.0000 0.2056 0.2949
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4356 0.1898 0.9542 21.1555 3.0000 271.0000 0.0000
##
## Model:
## coeff se t p LLCI
## constant 3.7462 0.2081 17.9989 0.0000 3.3364
## mat_sec_1 0.1633 0.1184 1.3792 0.1690 -0.0698
## selfFormControl2 0.3676 0.0597 6.1578 0.0000 0.2500
## emo_sec_check 0.0102 0.0269 0.3799 0.7043 -0.0427
## ULCI
## constant 4.1559
## mat_sec_1 0.3965
## selfFormControl2 0.4851
## emo_sec_check 0.0631
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2764 0.0764 1.0837 11.2472 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8624 0.1090 44.6177 0.0000 4.6479 5.0770
## mat_sec_1 0.2312 0.1257 1.8397 0.0669 -0.0162 0.4786
## emo_sec_check 0.1022 0.0238 4.2935 0.0000 0.0553 0.1491
##
## ***********************************************************************
## 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
## 0.2312 0.1257 1.8397 0.0669 -0.0162 0.4786
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1633 0.1184 1.3792 0.1690 -0.0698 0.3965
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## selfFormControl2 0.0679 0.0465 -0.0190 0.1664
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## selfFormControl2 0.0679 0.0459 1.4768 0.1397
##
## ******************** 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 -> selfFormControl2 -> blame with mat_sec_check as covariate
##
## ********************* 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 : selfFormControl2
##
## Covariates:
## mat_sec_check
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: selfFormControl2
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.5197 0.2701 1.0507 50.3224 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.0658 0.1117 27.4456 0.0000 2.8459 3.2858
## emo_sec_1 1.1240 0.1290 8.7132 0.0000 0.8700 1.3779
## mat_sec_check 0.0626 0.0275 2.2767 0.0236 0.0085 0.1168
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4375 0.1914 0.9523 21.3785 3.0000 271.0000 0.0000
##
## Model:
## coeff se t p LLCI
## constant 3.7353 0.2065 18.0908 0.0000 3.3288
## emo_sec_1 0.0186 0.1389 0.1342 0.8933 -0.2548
## selfFormControl2 0.3623 0.0577 6.2765 0.0000 0.2487
## mat_sec_check 0.0409 0.0264 1.5459 0.1233 -0.0112
## ULCI
## constant 4.1418
## emo_sec_1 0.2921
## selfFormControl2 0.4760
## mat_sec_check 0.0929
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2717 0.0738 1.0867 10.8405 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8461 0.1136 42.6564 0.0000 4.6224 5.0697
## emo_sec_1 0.4259 0.1312 3.2462 0.0013 0.1676 0.6842
## mat_sec_check 0.0635 0.0280 2.2719 0.0239 0.0085 0.1186
##
## ***********************************************************************
## 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
## 0.4259 0.1312 3.2462 0.0013 0.1676 0.6842
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0186 0.1389 0.1342 0.8933 -0.2548 0.2921
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## selfFormControl2 0.4072 0.0881 0.2504 0.5960
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## selfFormControl2 0.4072 0.0803 5.0708 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: 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: msec -> SE3 -> blame with emo_sec_check as covariate
##
## ********************* 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 : SE3
##
## Covariates:
## emo_sec_check
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SE3
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.7266 0.5279 1.7135 152.0922 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 1.2245 0.1370 8.9357 0.0000 0.9547 1.4943
## mat_sec_1 0.4407 0.1580 2.7889 0.0057 0.1296 0.7518
## emo_sec_check 0.5115 0.0299 17.0895 0.0000 0.4526 0.5704
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3074 0.0945 1.0664 9.4246 3.0000 271.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.7262 0.1230 38.4382 0.0000 4.4841 4.9682
## mat_sec_1 0.1821 0.1264 1.4407 0.1508 -0.0668 0.4310
## SE3 0.1113 0.0478 2.3269 0.0207 0.0171 0.2055
## emo_sec_check 0.0453 0.0340 1.3312 0.1842 -0.0217 0.1122
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2764 0.0764 1.0837 11.2472 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8624 0.1090 44.6177 0.0000 4.6479 5.0770
## mat_sec_1 0.2312 0.1257 1.8397 0.0669 -0.0162 0.4786
## emo_sec_check 0.1022 0.0238 4.2935 0.0000 0.0553 0.1491
##
## ***********************************************************************
## 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
## 0.2312 0.1257 1.8397 0.0669 -0.0162 0.4786
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1821 0.1264 1.4407 0.1508 -0.0668 0.4310
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SE3 0.0490 0.0271 0.0075 0.1131
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SE3 0.0490 0.0285 1.7226 0.0850
##
## ******************** 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 -> SE3 -> blame with mat_sec_check as covariate
##
## ********************* 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 : SE3
##
## Covariates:
## mat_sec_check
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SE3
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.7226 0.5222 1.7342 148.6456 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 1.2395 0.1435 8.6365 0.0000 0.9569 1.5220
## emo_sec_1 2.5371 0.1657 15.3085 0.0000 2.2108 2.8633
## mat_sec_check 0.1141 0.0353 3.2308 0.0014 0.0446 0.1837
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3087 0.0953 1.0655 9.5146 3.0000 271.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.6967 0.1270 36.9877 0.0000 4.4467 4.9467
## emo_sec_1 0.1201 0.1772 0.6778 0.4985 -0.2288 0.4691
## SE3 0.1205 0.0475 2.5357 0.0118 0.0269 0.2141
## mat_sec_check 0.0498 0.0282 1.7642 0.0788 -0.0058 0.1053
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2717 0.0738 1.0867 10.8405 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8461 0.1136 42.6564 0.0000 4.6224 5.0697
## emo_sec_1 0.4259 0.1312 3.2462 0.0013 0.1676 0.6842
## mat_sec_check 0.0635 0.0280 2.2719 0.0239 0.0085 0.1186
##
## ***********************************************************************
## 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
## 0.4259 0.1312 3.2462 0.0013 0.1676 0.6842
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1201 0.1772 0.6778 0.4985 -0.2288 0.4691
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SE3 0.3057 0.1218 0.0734 0.5564
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SE3 0.3057 0.1225 2.4965 0.0125
##
## ******************** 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 with emo_sec_check as covariate
##
## 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
##
## Covariates:
## emo_sec_check
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: circumstances
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.7239 0.5240 1.3367 149.7259 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 1.4215 0.1210 11.7443 0.0000 1.1832 1.6598
## mat_sec_1 0.3332 0.1396 2.3872 0.0177 0.0584 0.6079
## emo_sec_check 0.4502 0.0264 17.0286 0.0000 0.3981 0.5022
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3185 0.1014 1.0582 10.1983 3.0000 271.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.6516 0.1322 35.1852 0.0000 4.3913 4.9119
## mat_sec_1 0.1818 0.1255 1.4487 0.1486 -0.0652 0.4288
## circumstances 0.1483 0.0539 2.7492 0.0064 0.0421 0.2545
## emo_sec_check 0.0354 0.0338 1.0480 0.2956 -0.0311 0.1020
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2764 0.0764 1.0837 11.2472 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8624 0.1090 44.6177 0.0000 4.6479 5.0770
## mat_sec_1 0.2312 0.1257 1.8397 0.0669 -0.0162 0.4786
## emo_sec_check 0.1022 0.0238 4.2935 0.0000 0.0553 0.1491
##
## ***********************************************************************
## 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
## 0.2312 0.1257 1.8397 0.0669 -0.0162 0.4786
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1818 0.1255 1.4487 0.1486 -0.0652 0.4288
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## circumstances 0.0494 0.0281 0.0052 0.1157
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## circumstances 0.0494 0.0284 1.7382 0.0822
##
## ******************** 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 with mat_sec_check as covariate
##
## ********************* 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
##
## Covariates:
## mat_sec_check
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: circumstances
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.7123 0.5074 1.3834 140.0884 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 1.4409 0.1282 11.2414 0.0000 1.1886 1.6933
## emo_sec_1 2.2121 0.1480 14.9446 0.0000 1.9207 2.5035
## mat_sec_check 0.0933 0.0316 2.9566 0.0034 0.0312 0.1554
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3207 0.1029 1.0565 10.3571 3.0000 271.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.6200 0.1356 34.0793 0.0000 4.3531 4.8869
## emo_sec_1 0.0787 0.1746 0.4510 0.6523 -0.2649 0.4224
## circumstances 0.1569 0.0530 2.9616 0.0033 0.0526 0.2613
## mat_sec_check 0.0489 0.0280 1.7454 0.0821 -0.0063 0.1041
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2717 0.0738 1.0867 10.8405 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8461 0.1136 42.6564 0.0000 4.6224 5.0697
## emo_sec_1 0.4259 0.1312 3.2462 0.0013 0.1676 0.6842
## mat_sec_check 0.0635 0.0280 2.2719 0.0239 0.0085 0.1186
##
## ***********************************************************************
## 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
## 0.4259 0.1312 3.2462 0.0013 0.1676 0.6842
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0787 0.1746 0.4510 0.6523 -0.2649 0.4224
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## circumstances 0.3471 0.1237 0.1090 0.5983
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## circumstances 0.3471 0.1198 2.8989 0.0037
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000