##
## ********************* 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_1, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.5182 -0.5182 0.4818 0.4818 0.9928
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.00725 0.08941 56.001 < 2e-16 ***
## emo_sec_1 0.51100 0.12668 4.034 7.13e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.05 on 273 degrees of freedom
## Multiple R-squared: 0.05625, Adjusted R-squared: 0.05279
## F-statistic: 16.27 on 1 and 273 DF, p-value: 7.13e-05Mediation analysis: emo_sec -> SES -> blame
##
## ********************* PROCESS for R Version 4.1.1 *********************
##
## Written by Andrew F. Hayes, Ph.D. www.afhayes.com
## Documentation available in Hayes (2022). www.guilford.com/p/hayes3
##
## ***********************************************************************
##
## Model : 4
## Y : blame
## X : emo_sec_1
## M : SES
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SES
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3818 0.1458 2.5506 46.5857 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.6087 0.1360 19.1885 0.0000 2.3411 2.8763
## emo_sec_1 1.3147 0.1926 6.8254 0.0000 0.9355 1.6939
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2990 0.0894 1.0684 13.3523 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.6857 0.1349 34.7473 0.0000 4.4202 4.9512
## emo_sec_1 0.3489 0.1349 2.5870 0.0102 0.0834 0.6145
## SES 0.1233 0.0392 3.1468 0.0018 0.0461 0.2004
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2372 0.0562 1.1033 16.2714 1.0000 273.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.0072 0.0894 56.0008 0.0000 4.8312 5.1833
## emo_sec_1 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Total effect of X on Y:
## effect se t p LLCI ULCI
## 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.3489 0.1349 2.5870 0.0102 0.0834 0.6145
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SES 0.1621 0.0544 0.0606 0.2768
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SES 0.1621 0.0572 2.8328 0.0046
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: emo_sec -> SEImpairment -> blame
##
## ********************* PROCESS for R Version 4.1.1 *********************
##
## Written by Andrew F. Hayes, Ph.D. www.afhayes.com
## Documentation available in Hayes (2022). www.guilford.com/p/hayes3
##
## ***********************************************************************
##
## Model : 4
## Y : blame
## X : emo_sec_1
## M : SEImpairment
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SEImpairment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.8306 0.6899 0.9399 607.3236 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.4837 0.0825 54.3291 0.0000 4.3212 4.6462
## emo_sec_1 -2.8815 0.1169 -24.6439 0.0000 -3.1117 -2.6513
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2572 0.0662 1.0957 9.6353 2.0000 272.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.5051 0.3062 17.9760 0.0000 4.9021 6.1080
## emo_sec_1 0.1911 0.2267 0.8428 0.4001 -0.2552 0.6374
## SEImpairment -0.1110 0.0653 -1.6991 0.0905 -0.2397 0.0176
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2372 0.0562 1.1033 16.2714 1.0000 273.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.0072 0.0894 56.0008 0.0000 4.8312 5.1833
## emo_sec_1 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Total effect of X on Y:
## effect se t p LLCI ULCI
## 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1911 0.2267 0.8428 0.4001 -0.2552 0.6374
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SEImpairment 0.3199 0.2079 -0.0647 0.7583
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SEImpairment 0.3199 0.1889 1.6936 0.0903
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: emo_sec -> surprise -> blame
##
## ********************* PROCESS for R Version 4.1.1 *********************
##
## Written by Andrew F. Hayes, Ph.D. www.afhayes.com
## Documentation available in Hayes (2022). www.guilford.com/p/hayes3
##
## ***********************************************************************
##
## Model : 4
## Y : blame
## X : emo_sec_1
## M : surprise
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: surprise
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.6077 0.3692 2.8905 159.8180 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.1304 0.1447 14.7204 0.0000 1.8455 2.4154
## emo_sec_1 2.5922 0.2050 12.6419 0.0000 2.1885 2.9959
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2609 0.0681 1.0935 9.9338 2.0000 272.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8599 0.1192 40.7650 0.0000 4.6252 5.0946
## emo_sec_1 0.3318 0.1588 2.0892 0.0376 0.0191 0.6444
## surprise 0.0691 0.0372 1.8575 0.0643 -0.0041 0.1424
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2372 0.0562 1.1033 16.2714 1.0000 273.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.0072 0.0894 56.0008 0.0000 4.8312 5.1833
## emo_sec_1 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Total effect of X on Y:
## effect se t p LLCI ULCI
## 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.3318 0.1588 2.0892 0.0376 0.0191 0.6444
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## surprise 0.1792 0.0968 -0.0016 0.3825
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## surprise 0.1792 0.0978 1.8322 0.0669
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000Mediation analysis: emo_sec -> sympathy -> blame
##
## ********************* PROCESS for R Version 4.1.1 *********************
##
## Written by Andrew F. Hayes, Ph.D. www.afhayes.com
## Documentation available in Hayes (2022). www.guilford.com/p/hayes3
##
## ***********************************************************************
##
## Model : 4
## Y : blame
## X : emo_sec_1
## M : sympathy
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: sympathy
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4235 0.1793 2.4295 59.6494 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.0942 0.1327 23.3201 0.0000 2.8330 3.3554
## emo_sec_1 -1.4519 0.1880 -7.7233 0.0000 -1.8220 -1.0818
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4150 0.1723 0.9712 28.3012 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.7383 0.1451 39.5436 0.0000 5.4526 6.0240
## emo_sec_1 0.1680 0.1312 1.2803 0.2015 -0.0903 0.4263
## sympathy -0.2363 0.0383 -6.1740 0.0000 -0.3116 -0.1609
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2372 0.0562 1.1033 16.2714 1.0000 273.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.0072 0.0894 56.0008 0.0000 4.8312 5.1833
## emo_sec_1 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Total effect of X on Y:
## effect se t p LLCI ULCI
## 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1680 0.1312 1.2803 0.2015 -0.0903 0.4263
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## sympathy 0.3430 0.0766 0.2047 0.5068
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## sympathy 0.3430 0.0715 4.7980 0.0000
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000SE1, SE2
Mediation analysis: emo_sec -> 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_1
## M : SE
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SE
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1649 0.0272 1.7156 7.6332 1.0000 273.0000 0.0061
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.7935 0.1115 34.0223 0.0000 3.5740 4.0130
## emo_sec_1 0.4364 0.1580 2.7628 0.0061 0.1255 0.7474
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4490 0.2016 0.9368 34.3326 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.8136 0.1886 20.2196 0.0000 3.4422 4.1849
## emo_sec_1 0.3737 0.1184 3.1571 0.0018 0.1407 0.6067
## SE 0.3147 0.0447 7.0358 0.0000 0.2266 0.4027
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2372 0.0562 1.1033 16.2714 1.0000 273.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.0072 0.0894 56.0008 0.0000 4.8312 5.1833
## emo_sec_1 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Total effect of X on Y:
## effect se t p LLCI ULCI
## 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.3737 0.1184 3.1571 0.0018 0.1407 0.6067
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SE 0.1373 0.0567 0.0360 0.2609
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SE 0.1373 0.0539 2.5494 0.0108
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000SFC1, SFC2, SFC3, and SFC4
Mediation analysis: emo_sec -> 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_1
## M : SFC
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SFC
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.5061 0.2562 1.0668 94.0208 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.2246 0.0879 36.6765 0.0000 3.0515 3.3977
## emo_sec_1 1.2078 0.1246 9.6964 0.0000 0.9626 1.4531
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4292 0.1842 0.9572 30.7160 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.7996 0.2028 18.7391 0.0000 3.4004 4.1987
## emo_sec_1 0.0586 0.1368 0.4286 0.6685 -0.2107 0.3280
## SFC 0.3745 0.0573 6.5327 0.0000 0.2617 0.4874
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2372 0.0562 1.1033 16.2714 1.0000 273.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.0072 0.0894 56.0008 0.0000 4.8312 5.1833
## emo_sec_1 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Total effect of X on Y:
## effect se t p LLCI ULCI
## 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0586 0.1368 0.4286 0.6685 -0.2107 0.3280
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SFC 0.4524 0.0934 0.2858 0.6481
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SFC 0.4524 0.0838 5.3981 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 -> 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_1
## M : upbringing
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: upbringing
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.7098 0.5039 1.7942 277.2681 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.4710 0.1140 39.2113 0.0000 4.2465 4.6955
## emo_sec_1 -2.6900 0.1615 -16.6514 0.0000 -3.0080 -2.3720
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2914 0.0849 1.0737 12.6176 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.6181 0.2272 24.7322 0.0000 5.1709 6.0653
## emo_sec_1 0.1435 0.1774 0.8086 0.4195 -0.2058 0.4928
## upbringing -0.1366 0.0468 -2.9182 0.0038 -0.2288 -0.0445
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2372 0.0562 1.1033 16.2714 1.0000 273.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.0072 0.0894 56.0008 0.0000 4.8312 5.1833
## emo_sec_1 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Total effect of X on Y:
## effect se t p LLCI ULCI
## 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1435 0.1774 0.8086 0.4195 -0.2058 0.4928
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## upbringing 0.3675 0.1284 0.1277 0.6363
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## upbringing 0.3675 0.1281 2.8694 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: emo_sec -> 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_1
## 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
## 0.3818 0.1458 2.5506 46.5857 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.6087 0.1360 19.1885 0.0000 2.3411 2.8763
## emo_sec_1 1.3147 0.1926 6.8254 0.0000 0.9355 1.6939
##
## ***********************************************************************
## Outcome Variable: sympathy
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4235 0.1793 2.4295 59.6494 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.0942 0.1327 23.3201 0.0000 2.8330 3.3554
## emo_sec_1 -1.4519 0.1880 -7.7233 0.0000 -1.8220 -1.0818
##
## ***********************************************************************
## Outcome Variable: SE
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1649 0.0272 1.7156 7.6332 1.0000 273.0000 0.0061
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.7935 0.1115 34.0223 0.0000 3.5740 4.0130
## emo_sec_1 0.4364 0.1580 2.7628 0.0061 0.1255 0.7474
##
## ***********************************************************************
## Outcome Variable: SFC
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.5061 0.2562 1.0668 94.0208 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.2246 0.0879 36.6765 0.0000 3.0515 3.3977
## emo_sec_1 1.2078 0.1246 9.6964 0.0000 0.9626 1.4531
##
## ***********************************************************************
## Outcome Variable: upbringing
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.7098 0.5039 1.7942 277.2681 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.4710 0.1140 39.2113 0.0000 4.2465 4.6955
## emo_sec_1 -2.6900 0.1615 -16.6514 0.0000 -3.0080 -2.3720
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.5184 0.2688 0.8708 16.4176 6.0000 268.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.8256 0.4578 8.3561 0.0000 2.9242 4.7269
## emo_sec_1 -0.0025 0.1624 -0.0152 0.9879 -0.3222 0.3172
## SES 0.0666 0.0370 1.8024 0.0726 -0.0062 0.1394
## sympathy -0.1006 0.0431 -2.3311 0.0205 -0.1855 -0.0156
## SE 0.1822 0.0521 3.4944 0.0006 0.0795 0.2848
## SFC 0.1837 0.0729 2.5194 0.0123 0.0401 0.3272
## upbringing 0.0080 0.0500 0.1595 0.8734 -0.0905 0.1065
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2372 0.0562 1.1033 16.2714 1.0000 273.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.0072 0.0894 56.0008 0.0000 4.8312 5.1833
## emo_sec_1 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## ***********************************************************************
## Bootstrapping in progress. Please wait.
##
## ************ TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y ************
##
## Total effect of X on Y:
## effect se t p LLCI ULCI
## 0.5110 0.1267 4.0338 0.0001 0.2616 0.7604
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0025 0.1624 -0.0152 0.9879 -0.3222 0.3172
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## TOTAL 0.5135 0.1302 0.2646 0.7774
## SES 0.0876 0.0451 0.0013 0.1803
## sympathy 0.1460 0.0781 -0.0057 0.3033
## SE 0.0795 0.0397 0.0176 0.1718
## SFC 0.2218 0.0971 0.0395 0.4228
## upbringing -0.0215 0.1188 -0.2554 0.2122
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SES 0.0876 0.0508 1.7254 0.0845
## sympathy 0.1460 0.0659 2.2147 0.0268
## SE 0.0795 0.0376 2.1146 0.0345
## SFC 0.2218 0.0914 2.4263 0.0153
## upbringing -0.0215 0.1348 -0.1592 0.8735
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000.