##
## ********************* 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_dep, 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) 5.59566 0.09929 56.357 < 2e-16 ***
## emo_dep -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_dep -> 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_dep
## 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 4.1273 0.1495 27.6087 0.0000 3.8330 4.4216
## emo_dep -0.2690 0.0360 -7.4785 0.0000 -0.3398 -0.1982
##
## ***********************************************************************
## 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 5.1171 0.1907 26.8292 0.0000 4.7416 5.4926
## emo_dep -0.0728 0.0259 -2.8140 0.0053 -0.1237 -0.0219
## 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 5.5957 0.0993 56.3573 0.0000 5.4002 5.7911
## emo_dep -0.1040 0.0239 -4.3525 0.0000 -0.1510 -0.0569
##
## ***********************************************************************
## 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 -0.1510 -0.0569
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0728 0.0259 -2.8140 0.0053 -0.1237 -0.0219
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SES -0.0312 0.0107 -0.0536 -0.0111
##
## 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_dep -> 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_dep
## 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 1.2168 0.0821 14.8161 0.0000 1.0551 1.3784
## emo_dep 0.5704 0.0198 28.8679 0.0000 0.5315 0.6093
##
## ***********************************************************************
## 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 5.6917 0.1333 42.6912 0.0000 5.4292 5.9541
## emo_dep -0.0590 0.0481 -1.2267 0.2210 -0.1536 0.0357
## 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 5.5957 0.0993 56.3573 0.0000 5.4002 5.7911
## emo_dep -0.1040 0.0239 -4.3525 0.0000 -0.1510 -0.0569
##
## ***********************************************************************
## 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 -0.1510 -0.0569
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0590 0.0481 -1.2267 0.2210 -0.1536 0.0357
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SEImpairment -0.0450 0.0421 -0.1316 0.0327
##
## 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_dep -> 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_dep
## 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 5.0417 0.1588 31.7463 0.0000 4.7290 5.3543
## emo_dep -0.5045 0.0382 -13.2035 0.0000 -0.5797 -0.4293
##
## ***********************************************************************
## 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 5.2976 0.2145 24.6981 0.0000 4.8753 5.7198
## emo_dep -0.0741 0.0305 -2.4312 0.0157 -0.1342 -0.0141
## 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 5.5957 0.0993 56.3573 0.0000 5.4002 5.7911
## emo_dep -0.1040 0.0239 -4.3525 0.0000 -0.1510 -0.0569
##
## ***********************************************************************
## 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 -0.1510 -0.0569
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0741 0.0305 -2.4312 0.0157 -0.1342 -0.0141
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## surprise -0.0298 0.0171 -0.0639 0.0026
##
## 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_dep -> 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_dep
## 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 1.4131 0.1451 9.7361 0.0000 1.1273 1.6988
## emo_dep 0.2983 0.0349 8.5430 0.0000 0.2296 0.3671
##
## ***********************************************************************
## 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 5.9243 0.1086 54.5603 0.0000 5.7105 6.1380
## emo_dep -0.0346 0.0253 -1.3657 0.1732 -0.0845 0.0153
## 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 5.5957 0.0993 56.3573 0.0000 5.4002 5.7911
## emo_dep -0.1040 0.0239 -4.3525 0.0000 -0.1510 -0.0569
##
## ***********************************************************************
## 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 -0.1510 -0.0569
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0346 0.0253 -1.3657 0.1732 -0.0845 0.0153
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## sympathy -0.0694 0.0151 -0.1014 -0.0421
##
## 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_dep -> 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_dep
## 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 4.3497 0.1233 35.2809 0.0000 4.1070 4.5924
## emo_dep -0.1055 0.0297 -3.5571 0.0004 -0.1639 -0.0471
##
## ***********************************************************************
## 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 4.2562 0.2167 19.6395 0.0000 3.8295 4.6828
## emo_dep -0.0715 0.0226 -3.1601 0.0018 -0.1160 -0.0269
## 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 5.5957 0.0993 56.3573 0.0000 5.4002 5.7911
## emo_dep -0.1040 0.0239 -4.3525 0.0000 -0.1510 -0.0569
##
## ***********************************************************************
## 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 -0.1510 -0.0569
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0715 0.0226 -3.1601 0.0018 -0.1160 -0.0269
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SE -0.0325 0.0117 -0.0581 -0.0124
##
## 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_dep -> 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_dep
## 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 4.6345 0.0945 49.0590 0.0000 4.4485 4.8205
## emo_dep -0.2517 0.0227 -11.0740 0.0000 -0.2964 -0.2069
##
## ***********************************************************************
## 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 3.8567 0.2911 13.2481 0.0000 3.2836 4.4298
## emo_dep -0.0095 0.0269 -0.3543 0.7234 -0.0625 0.0434
## 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 5.5957 0.0993 56.3573 0.0000 5.4002 5.7911
## emo_dep -0.1040 0.0239 -4.3525 0.0000 -0.1510 -0.0569
##
## ***********************************************************************
## 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 -0.1510 -0.0569
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0095 0.0269 -0.3543 0.7234 -0.0625 0.0434
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SFC -0.0944 0.0185 -0.1330 -0.0611
##
## 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_dep -> 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_dep
## 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 1.4776 0.1258 11.7422 0.0000 1.2299 1.7254
## emo_dep 0.5149 0.0303 17.0066 0.0000 0.4553 0.5745
##
## ***********************************************************************
## 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 5.7771 0.1205 47.9248 0.0000 5.5398 6.0144
## emo_dep -0.0407 0.0339 -1.2011 0.2308 -0.1075 0.0260
## 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 5.5957 0.0993 56.3573 0.0000 5.4002 5.7911
## emo_dep -0.1040 0.0239 -4.3525 0.0000 -0.1510 -0.0569
##
## ***********************************************************************
## 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 -0.1510 -0.0569
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0407 0.0339 -1.2011 0.2308 -0.1075 0.0260
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## upbringing -0.0632 0.0218 -0.1089 -0.0232
##
## 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_dep -> 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_dep
## 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 4.1273 0.1495 27.6087 0.0000 3.8330 4.4216
## emo_dep -0.2690 0.0360 -7.4785 0.0000 -0.3398 -0.1982
##
## ***********************************************************************
## 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 1.4131 0.1451 9.7361 0.0000 1.1273 1.6988
## emo_dep 0.2983 0.0349 8.5430 0.0000 0.2296 0.3671
##
## ***********************************************************************
## 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 4.3497 0.1233 35.2809 0.0000 4.1070 4.5924
## emo_dep -0.1055 0.0297 -3.5571 0.0004 -0.1639 -0.0471
##
## ***********************************************************************
## 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 4.6345 0.0945 49.0590 0.0000 4.4485 4.8205
## emo_dep -0.2517 0.0227 -11.0740 0.0000 -0.2964 -0.2069
##
## ***********************************************************************
## 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 1.4776 0.1258 11.7422 0.0000 1.2299 1.7254
## emo_dep 0.5149 0.0303 17.0066 0.0000 0.4553 0.5745
##
## ***********************************************************************
## 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 3.8053 0.4312 8.8244 0.0000 2.9563 4.6543
## emo_dep 0.0111 0.0316 0.3508 0.7260 -0.0512 0.0734
## 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 5.5957 0.0993 56.3573 0.0000 5.4002 5.7911
## emo_dep -0.1040 0.0239 -4.3525 0.0000 -0.1510 -0.0569
##
## ***********************************************************************
## 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 -0.1510 -0.0569
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0111 0.0316 0.3508 0.7260 -0.0512 0.0734
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## TOTAL -0.1151 0.0243 -0.1655 -0.0695
## SES -0.0184 0.0093 -0.0378 -0.0007
## sympathy -0.0306 0.0160 -0.0624 0.0007
## SE -0.0192 0.0089 -0.0398 -0.0056
## SFC -0.0469 0.0199 -0.0876 -0.0094
## upbringing -0.0001 0.0223 -0.0437 0.0447
##
## 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