##
## ********************* 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 ~ econ_dep, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.2436 -0.4225 0.4880 0.7564 1.0248
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.51202 0.09952 55.387 < 2e-16 ***
## econ_dep -0.08947 0.02727 -3.281 0.00117 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.061 on 273 degrees of freedom
## Multiple R-squared: 0.03794, Adjusted R-squared: 0.03442
## F-statistic: 10.77 on 1 and 273 DF, p-value: 0.001168Mediation analysis: econ_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 : econ_dep
## M : SES
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SES
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.7558 0.5712 1.2802 363.7133 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8151 0.1062 45.3498 0.0000 4.6061 5.0242
## econ_dep -0.5548 0.0291 -19.0713 0.0000 -0.6121 -0.4976
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2588 0.0670 1.0947 9.7659 2.0000 272.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.7277 0.2868 16.4834 0.0000 4.1630 5.2924
## econ_dep 0.0009 0.0411 0.0219 0.9826 -0.0800 0.0818
## SES 0.1629 0.0560 2.9104 0.0039 0.0527 0.2731
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1948 0.0379 1.1247 10.7668 1.0000 273.0000 0.0012
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.5120 0.0995 55.3865 0.0000 5.3161 5.7079
## econ_dep -0.0895 0.0273 -3.2813 0.0012 -0.1432 -0.0358
##
## ***********************************************************************
## 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
## -0.0895 0.0273 -3.2813 0.0012 -0.1432 -0.0358
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0009 0.0411 0.0219 0.9826 -0.0800 0.0818
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SES -0.0904 0.0301 -0.1498 -0.0318
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SES -0.0904 0.0315 -2.8732 0.0041
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: econ_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 : econ_dep
## M : SEImpairment
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SEImpairment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1935 0.0374 2.9174 10.6167 1.0000 273.0000 0.0013
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.6480 0.1603 16.5209 0.0000 2.3325 2.9636
## econ_dep 0.1431 0.0439 3.2583 0.0013 0.0566 0.2296
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2930 0.0859 1.0726 12.7722 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.8789 0.1374 42.7755 0.0000 5.6083 6.1495
## econ_dep -0.0696 0.0271 -2.5660 0.0108 -0.1231 -0.0162
## SEImpairment -0.1386 0.0367 -3.7756 0.0002 -0.2108 -0.0663
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1948 0.0379 1.1247 10.7668 1.0000 273.0000 0.0012
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.5120 0.0995 55.3865 0.0000 5.3161 5.7079
## econ_dep -0.0895 0.0273 -3.2813 0.0012 -0.1432 -0.0358
##
## ***********************************************************************
## 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
## -0.0895 0.0273 -3.2813 0.0012 -0.1432 -0.0358
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0696 0.0271 -2.5660 0.0108 -0.1231 -0.0162
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SEImpairment -0.0198 0.0078 -0.0370 -0.0066
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SEImpairment -0.0198 0.0082 -2.4186 0.0156
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: econ_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 : econ_dep
## M : surprise
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: surprise
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2024 0.0410 4.3950 11.6570 1.0000 273.0000 0.0007
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.9365 0.1967 20.0095 0.0000 3.5492 4.3238
## econ_dep -0.1840 0.0539 -3.4142 0.0007 -0.2902 -0.0779
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2757 0.0760 1.0842 11.1863 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1160 0.1535 33.3380 0.0000 4.8138 5.4181
## econ_dep -0.0710 0.0273 -2.5955 0.0100 -0.1248 -0.0171
## surprise 0.1006 0.0301 3.3472 0.0009 0.0414 0.1598
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1948 0.0379 1.1247 10.7668 1.0000 273.0000 0.0012
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.5120 0.0995 55.3865 0.0000 5.3161 5.7079
## econ_dep -0.0895 0.0273 -3.2813 0.0012 -0.1432 -0.0358
##
## ***********************************************************************
## 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
## -0.0895 0.0273 -3.2813 0.0012 -0.1432 -0.0358
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0710 0.0273 -2.5955 0.0100 -0.1248 -0.0171
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## surprise -0.0185 0.0072 -0.0344 -0.0067
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## surprise -0.0185 0.0079 -2.3395 0.0193
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: econ_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 : econ_dep
## M : sympathy
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: sympathy
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2530 0.0640 2.7708 18.6759 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 1.8537 0.1562 11.8672 0.0000 1.5462 2.1612
## econ_dep 0.1850 0.0428 4.3216 0.0000 0.1007 0.2692
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4197 0.1762 0.9666 29.0825 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.9597 0.1136 52.4653 0.0000 5.7360 6.1833
## econ_dep -0.0448 0.0261 -1.7148 0.0875 -0.0962 0.0066
## sympathy -0.2415 0.0357 -6.7556 0.0000 -0.3119 -0.1711
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1948 0.0379 1.1247 10.7668 1.0000 273.0000 0.0012
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.5120 0.0995 55.3865 0.0000 5.3161 5.7079
## econ_dep -0.0895 0.0273 -3.2813 0.0012 -0.1432 -0.0358
##
## ***********************************************************************
## 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
## -0.0895 0.0273 -3.2813 0.0012 -0.1432 -0.0358
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0448 0.0261 -1.7148 0.0875 -0.0962 0.0066
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## sympathy -0.0447 0.0127 -0.0714 -0.0217
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## sympathy -0.0447 0.0124 -3.6124 0.0003
##
## ******************** 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: econ_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 : econ_dep
## M : SE
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SE
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1973 0.0389 1.6950 11.0598 1.0000 273.0000 0.0010
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.3222 0.1222 35.3783 0.0000 4.0817 4.5627
## econ_dep -0.1113 0.0335 -3.3256 0.0010 -0.1772 -0.0454
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4308 0.1856 0.9556 30.9862 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.1329 0.2168 19.0642 0.0000 3.7061 4.5597
## econ_dep -0.0540 0.0256 -2.1043 0.0363 -0.1044 -0.0035
## SE 0.3191 0.0454 7.0214 0.0000 0.2296 0.4086
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1948 0.0379 1.1247 10.7668 1.0000 273.0000 0.0012
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.5120 0.0995 55.3865 0.0000 5.3161 5.7079
## econ_dep -0.0895 0.0273 -3.2813 0.0012 -0.1432 -0.0358
##
## ***********************************************************************
## 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
## -0.0895 0.0273 -3.2813 0.0012 -0.1432 -0.0358
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0540 0.0256 -2.1043 0.0363 -0.1044 -0.0035
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SE -0.0355 0.0124 -0.0620 -0.0130
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SE -0.0355 0.0119 -2.9810 0.0029
##
## ******************** 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: econ_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 : econ_dep
## M : SFC
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SFC
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2576 0.0663 1.3390 19.4004 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.1928 0.1086 38.6124 0.0000 3.9790 4.4066
## econ_dep -0.1310 0.0298 -4.4046 0.0000 -0.1896 -0.0725
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4374 0.1913 0.9489 32.1749 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.9777 0.2324 17.1192 0.0000 3.5203 4.4352
## econ_dep -0.0415 0.0259 -1.6018 0.1104 -0.0925 0.0095
## SFC 0.3659 0.0509 7.1825 0.0000 0.2656 0.4662
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1948 0.0379 1.1247 10.7668 1.0000 273.0000 0.0012
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.5120 0.0995 55.3865 0.0000 5.3161 5.7079
## econ_dep -0.0895 0.0273 -3.2813 0.0012 -0.1432 -0.0358
##
## ***********************************************************************
## 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
## -0.0895 0.0273 -3.2813 0.0012 -0.1432 -0.0358
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0415 0.0259 -1.6018 0.1104 -0.0925 0.0095
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SFC -0.0480 0.0132 -0.0761 -0.0243
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SFC -0.0480 0.0129 -3.7286 0.0002
##
## ******************** 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: econ_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 : econ_dep
## M : upbringing
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: upbringing
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3325 0.1106 3.2166 33.9343 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.3797 0.1683 14.1396 0.0000 2.0484 2.7111
## econ_dep 0.2686 0.0461 5.8253 0.0000 0.1778 0.3594
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3062 0.0938 1.0633 14.0701 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.8510 0.1274 45.9394 0.0000 5.6002 6.1017
## econ_dep -0.0512 0.0281 -1.8217 0.0696 -0.1066 0.0041
## upbringing -0.1424 0.0348 -4.0929 0.0001 -0.2109 -0.0739
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1948 0.0379 1.1247 10.7668 1.0000 273.0000 0.0012
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.5120 0.0995 55.3865 0.0000 5.3161 5.7079
## econ_dep -0.0895 0.0273 -3.2813 0.0012 -0.1432 -0.0358
##
## ***********************************************************************
## 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
## -0.0895 0.0273 -3.2813 0.0012 -0.1432 -0.0358
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0512 0.0281 -1.8217 0.0696 -0.1066 0.0041
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## upbringing -0.0383 0.0106 -0.0611 -0.0195
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## upbringing -0.0383 0.0115 -3.3164 0.0009
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: econ_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 : econ_dep
## M1 : SEImpairment
## M2 : surprise
## M3 : sympathy
## M4 : SE
## M5 : SFC
## M6 : upbringing
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SEImpairment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1935 0.0374 2.9174 10.6167 1.0000 273.0000 0.0013
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.6480 0.1603 16.5209 0.0000 2.3325 2.9636
## econ_dep 0.1431 0.0439 3.2583 0.0013 0.0566 0.2296
##
## ***********************************************************************
## Outcome Variable: surprise
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2024 0.0410 4.3950 11.6570 1.0000 273.0000 0.0007
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.9365 0.1967 20.0095 0.0000 3.5492 4.3238
## econ_dep -0.1840 0.0539 -3.4142 0.0007 -0.2902 -0.0779
##
## ***********************************************************************
## Outcome Variable: sympathy
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2530 0.0640 2.7708 18.6759 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 1.8537 0.1562 11.8672 0.0000 1.5462 2.1612
## econ_dep 0.1850 0.0428 4.3216 0.0000 0.1007 0.2692
##
## ***********************************************************************
## Outcome Variable: SE
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1973 0.0389 1.6950 11.0598 1.0000 273.0000 0.0010
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.3222 0.1222 35.3783 0.0000 4.0817 4.5627
## econ_dep -0.1113 0.0335 -3.3256 0.0010 -0.1772 -0.0454
##
## ***********************************************************************
## Outcome Variable: SFC
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2576 0.0663 1.3390 19.4004 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.1928 0.1086 38.6124 0.0000 3.9790 4.4066
## econ_dep -0.1310 0.0298 -4.4046 0.0000 -0.1896 -0.0725
##
## ***********************************************************************
## Outcome Variable: upbringing
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3325 0.1106 3.2166 33.9343 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.3797 0.1683 14.1396 0.0000 2.0484 2.7111
## econ_dep 0.2686 0.0461 5.8253 0.0000 0.1778 0.3594
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.5176 0.2680 0.8750 13.9620 7.0000 267.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.8857 0.4779 8.1306 0.0000 2.9447 4.8267
## econ_dep -0.0225 0.0260 -0.8660 0.3872 -0.0736 0.0286
## SEImpairment 0.0095 0.0571 0.1662 0.8681 -0.1029 0.1218
## surprise 0.0490 0.0386 1.2698 0.2052 -0.0270 0.1251
## sympathy -0.1032 0.0431 -2.3912 0.0175 -0.1881 -0.0182
## SE 0.1846 0.0526 3.5077 0.0005 0.0810 0.2882
## SFC 0.1823 0.0734 2.4831 0.0136 0.0378 0.3269
## upbringing 0.0156 0.0494 0.3159 0.7523 -0.0817 0.1129
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1948 0.0379 1.1247 10.7668 1.0000 273.0000 0.0012
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.5120 0.0995 55.3865 0.0000 5.3161 5.7079
## econ_dep -0.0895 0.0273 -3.2813 0.0012 -0.1432 -0.0358
##
## ***********************************************************************
## 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
## -0.0895 0.0273 -3.2813 0.0012 -0.1432 -0.0358
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0225 0.0260 -0.8660 0.3872 -0.0736 0.0286
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## TOTAL -0.0670 0.0168 -0.1017 -0.0353
## SEImpairment 0.0014 0.0081 -0.0158 0.0173
## surprise -0.0090 0.0073 -0.0243 0.0044
## sympathy -0.0191 0.0106 -0.0416 0.0000
## SE -0.0205 0.0089 -0.0410 -0.0064
## SFC -0.0239 0.0117 -0.0499 -0.0042
## upbringing 0.0042 0.0128 -0.0200 0.0313
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SEImpairment 0.0014 0.0086 0.1587 0.8739
## surprise -0.0090 0.0079 -1.1477 0.2511
## sympathy -0.0191 0.0093 -2.0507 0.0403
## SE -0.0205 0.0087 -2.3633 0.0181
## SFC -0.0239 0.0113 -2.1220 0.0338
## upbringing 0.0042 0.0135 0.3109 0.7559
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000