##
## ********************* PROCESS for R Version 4.1.1 *********************
##
## Written by Andrew F. Hayes, Ph.D. www.afhayes.com
## Documentation available in Hayes (2022). www.guilford.com/p/hayes3
##
## ***********************************************************************
##
## PROCESS is now ready for use.
## Copyright 2022 by Andrew F. Hayes ALL RIGHTS RESERVED
## Workshop schedule at http://haskayne.ucalgary.ca/CCRAM
## ##
## Call:
## lm(formula = blame ~ emo_sec_check, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.2837 -0.4917 0.4043 0.6123 1.0282
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.97183 0.09173 54.202 < 2e-16 ***
## emo_sec_check 0.10397 0.02389 4.353 1.9e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.046 on 273 degrees of freedom
## Multiple R-squared: 0.06489, Adjusted R-squared: 0.06146
## F-statistic: 18.94 on 1 and 273 DF, p-value: 1.904e-05Mediation analysis: emo_sec_check -> 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_check
## M : SES
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SES
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4123 0.1700 2.4782 55.9285 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.5134 0.1381 18.1990 0.0000 2.2416 2.7853
## emo_sec_check 0.2690 0.0360 7.4785 0.0000 0.1982 0.3398
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3056 0.0934 1.0638 14.0091 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.6804 0.1346 34.7690 0.0000 4.4154 4.9454
## emo_sec_check 0.0728 0.0259 2.8140 0.0053 0.0219 0.1237
## SES 0.1159 0.0397 2.9240 0.0037 0.0379 0.1940
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2547 0.0649 1.0932 18.9443 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.9718 0.0917 54.2016 0.0000 4.7912 5.1524
## emo_sec_check 0.1040 0.0239 4.3525 0.0000 0.0569 0.1510
##
## ***********************************************************************
## 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
## 0.1040 0.0239 4.3525 0.0000 0.0569 0.1510
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0728 0.0259 2.8140 0.0053 0.0219 0.1237
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SES 0.0312 0.0107 0.0111 0.0536
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SES 0.0312 0.0115 2.7024 0.0069
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: emo_sec_check -> 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_check
## M : SEImpairment
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SEImpairment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.8679 0.7532 0.7479 833.3532 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.6390 0.0759 61.1435 0.0000 4.4896 4.7884
## emo_sec_check -0.5704 0.0198 -28.8679 0.0000 -0.6093 -0.5315
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2624 0.0689 1.0925 10.0595 2.0000 272.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.3378 0.3515 15.1851 0.0000 4.6458 6.0299
## emo_sec_check 0.0590 0.0481 1.2267 0.2210 -0.0357 0.1536
## SEImpairment -0.0789 0.0732 -1.0786 0.2817 -0.2229 0.0651
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2547 0.0649 1.0932 18.9443 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.9718 0.0917 54.2016 0.0000 4.7912 5.1524
## emo_sec_check 0.1040 0.0239 4.3525 0.0000 0.0569 0.1510
##
## ***********************************************************************
## 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
## 0.1040 0.0239 4.3525 0.0000 0.0569 0.1510
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0590 0.0481 1.2267 0.2210 -0.0357 0.1536
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SEImpairment 0.0450 0.0421 -0.0327 0.1316
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SEImpairment 0.0450 0.0418 1.0772 0.2814
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: emo_sec_check -> 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_check
## M : surprise
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: surprise
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.6243 0.3897 2.7967 174.3330 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.0148 0.1467 13.7323 0.0000 1.7259 2.3036
## emo_sec_check 0.5045 0.0382 13.2035 0.0000 0.4293 0.5797
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2707 0.0733 1.0874 10.7500 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8527 0.1190 40.7936 0.0000 4.6185 5.0869
## emo_sec_check 0.0741 0.0305 2.4312 0.0157 0.0141 0.1342
## surprise 0.0591 0.0377 1.5668 0.1183 -0.0152 0.1334
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2547 0.0649 1.0932 18.9443 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.9718 0.0917 54.2016 0.0000 4.7912 5.1524
## emo_sec_check 0.1040 0.0239 4.3525 0.0000 0.0569 0.1510
##
## ***********************************************************************
## 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
## 0.1040 0.0239 4.3525 0.0000 0.0569 0.1510
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0741 0.0305 2.4312 0.0157 0.0141 0.1342
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## surprise 0.0298 0.0171 -0.0026 0.0639
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## surprise 0.0298 0.0192 1.5515 0.1208
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: emo_sec_check -> 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_check
## M : sympathy
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: sympathy
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4593 0.2109 2.3359 72.9835 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.2029 0.1341 23.8872 0.0000 2.9389 3.4669
## emo_sec_check -0.2983 0.0349 -8.5430 0.0000 -0.3671 -0.2296
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4159 0.1729 0.9704 28.4369 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.7166 0.1519 37.6283 0.0000 5.4175 6.0157
## emo_sec_check 0.0346 0.0253 1.3657 0.1732 -0.0153 0.0845
## sympathy -0.2325 0.0390 -5.9610 0.0000 -0.3093 -0.1557
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2547 0.0649 1.0932 18.9443 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.9718 0.0917 54.2016 0.0000 4.7912 5.1524
## emo_sec_check 0.1040 0.0239 4.3525 0.0000 0.0569 0.1510
##
## ***********************************************************************
## 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
## 0.1040 0.0239 4.3525 0.0000 0.0569 0.1510
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0346 0.0253 1.3657 0.1732 -0.0153 0.0845
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## sympathy 0.0694 0.0151 0.0421 0.1014
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## sympathy 0.0694 0.0143 4.8662 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: emo_sec_check -> SE -> 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_check
## M : SE
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SE
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2105 0.0443 1.6855 12.6533 1.0000 273.0000 0.0004
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.7166 0.1139 32.6308 0.0000 3.4924 3.9409
## emo_sec_check 0.1055 0.0297 3.5571 0.0004 0.0471 0.1639
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4490 0.2016 0.9368 34.3438 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.8273 0.1880 20.3614 0.0000 3.4573 4.1974
## emo_sec_check 0.0715 0.0226 3.1601 0.0018 0.0269 0.1160
## SE 0.3079 0.0451 6.8250 0.0000 0.2191 0.3968
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2547 0.0649 1.0932 18.9443 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.9718 0.0917 54.2016 0.0000 4.7912 5.1524
## emo_sec_check 0.1040 0.0239 4.3525 0.0000 0.0569 0.1510
##
## ***********************************************************************
## 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
## 0.1040 0.0239 4.3525 0.0000 0.0569 0.1510
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0715 0.0226 3.1601 0.0018 0.0269 0.1160
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SE 0.0325 0.0117 0.0124 0.0581
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SE 0.0325 0.0104 3.1281 0.0018
##
## ******************** 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: emo_sec_check -> SFC -> 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_check
## M : SFC
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SFC
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.5567 0.3100 0.9896 122.6345 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.1244 0.0873 35.7994 0.0000 2.9526 3.2962
## emo_sec_check 0.2517 0.0227 11.0740 0.0000 0.2069 0.2964
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4290 0.1841 0.9574 30.6803 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.7995 0.2048 18.5483 0.0000 3.3962 4.2028
## emo_sec_check 0.0095 0.0269 0.3543 0.7234 -0.0434 0.0625
## SFC 0.3752 0.0595 6.3031 0.0000 0.2580 0.4924
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2547 0.0649 1.0932 18.9443 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.9718 0.0917 54.2016 0.0000 4.7912 5.1524
## emo_sec_check 0.1040 0.0239 4.3525 0.0000 0.0569 0.1510
##
## ***********************************************************************
## 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
## 0.1040 0.0239 4.3525 0.0000 0.0569 0.1510
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0095 0.0269 0.3543 0.7234 -0.0434 0.0625
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SFC 0.0944 0.0185 0.0611 0.1330
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SFC 0.0944 0.0173 5.4611 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
Mediation analysis: emo_sec_check -> upbringing -> 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_check
## M : upbringing
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: upbringing
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.7172 0.5144 1.7560 289.2258 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.5670 0.1163 39.2830 0.0000 4.3381 4.7959
## emo_sec_check -0.5149 0.0303 -17.0066 0.0000 -0.5745 -0.4553
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2959 0.0875 1.0706 13.0476 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.5326 0.2341 23.6297 0.0000 5.0717 5.9936
## emo_sec_check 0.0407 0.0339 1.2011 0.2308 -0.0260 0.1075
## upbringing -0.1228 0.0473 -2.5984 0.0099 -0.2158 -0.0298
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2547 0.0649 1.0932 18.9443 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.9718 0.0917 54.2016 0.0000 4.7912 5.1524
## emo_sec_check 0.1040 0.0239 4.3525 0.0000 0.0569 0.1510
##
## ***********************************************************************
## 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
## 0.1040 0.0239 4.3525 0.0000 0.0569 0.1510
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0407 0.0339 1.2011 0.2308 -0.0260 0.1075
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## upbringing 0.0632 0.0218 0.0232 0.1089
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## upbringing 0.0632 0.0247 2.5643 0.0103
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: emo_sec_check -> parallel -> blame ### Process Report
##
## ********************* 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_check
## M1 : SES
## M2 : sympathy
## M3 : SE
## M4 : SFC
## M5 : upbringing
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SES
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4123 0.1700 2.4782 55.9285 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.5134 0.1381 18.1990 0.0000 2.2416 2.7853
## emo_sec_check 0.2690 0.0360 7.4785 0.0000 0.1982 0.3398
##
## ***********************************************************************
## Outcome Variable: sympathy
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4593 0.2109 2.3359 72.9835 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.2029 0.1341 23.8872 0.0000 2.9389 3.4669
## emo_sec_check -0.2983 0.0349 -8.5430 0.0000 -0.3671 -0.2296
##
## ***********************************************************************
## Outcome Variable: SE
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2105 0.0443 1.6855 12.6533 1.0000 273.0000 0.0004
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.7166 0.1139 32.6308 0.0000 3.4924 3.9409
## emo_sec_check 0.1055 0.0297 3.5571 0.0004 0.0471 0.1639
##
## ***********************************************************************
## Outcome Variable: SFC
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.5567 0.3100 0.9896 122.6345 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.1244 0.0873 35.7994 0.0000 2.9526 3.2962
## emo_sec_check 0.2517 0.0227 11.0740 0.0000 0.2069 0.2964
##
## ***********************************************************************
## Outcome Variable: upbringing
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.7172 0.5144 1.7560 289.2258 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.5670 0.1163 39.2830 0.0000 4.3381 4.7959
## emo_sec_check -0.5149 0.0303 -17.0066 0.0000 -0.5745 -0.4553
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.5188 0.2691 0.8704 16.4456 6.0000 268.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.8719 0.4502 8.5997 0.0000 2.9854 4.7583
## emo_sec_check -0.0111 0.0316 -0.3508 0.7260 -0.0734 0.0512
## SES 0.0683 0.0371 1.8405 0.0668 -0.0048 0.1414
## sympathy -0.1025 0.0432 -2.3719 0.0184 -0.1875 -0.0174
## SE 0.1815 0.0521 3.4853 0.0006 0.0790 0.2841
## SFC 0.1864 0.0732 2.5451 0.0115 0.0422 0.3306
## upbringing -0.0001 0.0492 -0.0026 0.9979 -0.0970 0.0967
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2547 0.0649 1.0932 18.9443 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.9718 0.0917 54.2016 0.0000 4.7912 5.1524
## emo_sec_check 0.1040 0.0239 4.3525 0.0000 0.0569 0.1510
##
## ***********************************************************************
## 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
## 0.1040 0.0239 4.3525 0.0000 0.0569 0.1510
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0111 0.0316 -0.3508 0.7260 -0.0734 0.0512
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## TOTAL 0.1151 0.0243 0.0695 0.1655
## SES 0.0184 0.0093 0.0007 0.0378
## sympathy 0.0306 0.0160 -0.0007 0.0624
## SE 0.0192 0.0089 0.0056 0.0398
## SFC 0.0469 0.0199 0.0094 0.0876
## upbringing 0.0001 0.0223 -0.0447 0.0437
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SES 0.0184 0.0104 1.7723 0.0764
## sympathy 0.0306 0.0135 2.2710 0.0231
## SE 0.0192 0.0078 2.4408 0.0147
## SFC 0.0469 0.0190 2.4709 0.0135
## upbringing 0.0001 0.0254 0.0026 0.9979
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000