##
## ********************* 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 = punishment ~ emo_sec_1, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.7518 -2.7518 -0.1232 2.2482 4.8768
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.1232 0.2635 19.440 <2e-16 ***
## emo_sec_1 0.6286 0.3734 1.684 0.0934 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.096 on 273 degrees of freedom
## Multiple R-squared: 0.01028, Adjusted R-squared: 0.006652
## F-statistic: 2.835 on 1 and 273 DF, p-value: 0.09339Mediation analysis: emo_sec -> SES -> punishment
##
## ********************* 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 : punishment
## 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: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1133 0.0128 9.5946 1.7675 2.0000 272.0000 0.1727
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8664 0.4041 12.0425 0.0000 4.0708 5.6619
## emo_sec_1 0.4992 0.4042 1.2351 0.2179 -0.2965 1.2950
## SES 0.0984 0.1174 0.8386 0.4024 -0.1327 0.3295
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1014 0.0103 9.5841 2.8347 1.0000 273.0000 0.0934
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1232 0.2635 19.4403 0.0000 4.6044 5.6420
## emo_sec_1 0.6286 0.3734 1.6837 0.0934 -0.1064 1.3637
##
## ***********************************************************************
## 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
## 0.6286 0.3734 1.6837 0.0934 -0.1064 1.3637
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.4992 0.4042 1.2351 0.2179 -0.2965 1.2950
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SES 0.1294 0.1695 -0.2127 0.4663
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SES 0.1294 0.1571 0.8237 0.4101
##
## ******************** 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 -> punishment
##
## ********************* 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 : punishment
## 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: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1014 0.0103 9.6193 1.4132 2.0000 272.0000 0.2451
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.0838 0.9074 5.6027 0.0000 3.2974 6.8702
## emo_sec_1 0.6539 0.6717 0.9735 0.3312 -0.6685 1.9763
## SEImpairment 0.0088 0.1936 0.0453 0.9639 -0.3724 0.3900
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1014 0.0103 9.5841 2.8347 1.0000 273.0000 0.0934
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1232 0.2635 19.4403 0.0000 4.6044 5.6420
## emo_sec_1 0.6286 0.3734 1.6837 0.0934 -0.1064 1.3637
##
## ***********************************************************************
## 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
## 0.6286 0.3734 1.6837 0.0934 -0.1064 1.3637
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.6539 0.6717 0.9735 0.3312 -0.6685 1.9763
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SEImpairment -0.0253 0.6010 -1.1768 1.1897
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SEImpairment -0.0253 0.5584 -0.0453 0.9639
##
## ******************** 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 -> punishment
##
## ********************* 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 : punishment
## 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: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1406 0.0198 9.5272 2.7415 2.0000 272.0000 0.0663
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.5029 0.3519 15.6376 0.0000 4.8101 6.1957
## emo_sec_1 1.0907 0.4687 2.3268 0.0207 0.1679 2.0135
## surprise -0.1782 0.1099 -1.6221 0.1059 -0.3946 0.0381
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1014 0.0103 9.5841 2.8347 1.0000 273.0000 0.0934
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1232 0.2635 19.4403 0.0000 4.6044 5.6420
## emo_sec_1 0.6286 0.3734 1.6837 0.0934 -0.1064 1.3637
##
## ***********************************************************************
## 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
## 0.6286 0.3734 1.6837 0.0934 -0.1064 1.3637
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 1.0907 0.4687 2.3268 0.0207 0.1679 2.0135
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## surprise -0.4620 0.2917 -1.0231 0.1216
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## surprise -0.4620 0.2880 -1.6040 0.1087
##
## ******************** 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 -> punishment
##
## ********************* 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 : punishment
## 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: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3480 0.1211 8.5425 18.7344 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 7.1794 0.4304 16.6822 0.0000 6.3322 8.0267
## emo_sec_1 -0.3362 0.3891 -0.8640 0.3883 -1.1022 0.4298
## sympathy -0.6645 0.1135 -5.8556 0.0000 -0.8880 -0.4411
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1014 0.0103 9.5841 2.8347 1.0000 273.0000 0.0934
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1232 0.2635 19.4403 0.0000 4.6044 5.6420
## emo_sec_1 0.6286 0.3734 1.6837 0.0934 -0.1064 1.3637
##
## ***********************************************************************
## 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
## 0.6286 0.3734 1.6837 0.0934 -0.1064 1.3637
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.3362 0.3891 -0.8640 0.3883 -1.1022 0.4298
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## sympathy 0.9648 0.2140 0.5717 1.4162
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## sympathy 0.9648 0.2079 4.6415 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 -> punishment
##
## ********************* 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 : punishment
## 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: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3316 0.1100 8.6505 16.8026 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.2777 0.5731 3.9742 0.0001 1.1494 3.4060
## emo_sec_1 0.3013 0.3596 0.8376 0.4030 -0.4068 1.0093
## SE 0.7501 0.1359 5.5195 0.0000 0.4826 1.0177
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1014 0.0103 9.5841 2.8347 1.0000 273.0000 0.0934
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1232 0.2635 19.4403 0.0000 4.6044 5.6420
## emo_sec_1 0.6286 0.3734 1.6837 0.0934 -0.1064 1.3637
##
## ***********************************************************************
## 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
## 0.6286 0.3734 1.6837 0.0934 -0.1064 1.3637
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.3013 0.3596 0.8376 0.4030 -0.4068 1.0093
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SE 0.3274 0.1493 0.0767 0.6603
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SE 0.3274 0.1342 2.4388 0.0147
##
## ******************** 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 -> punishment
##
## ********************* 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 : punishment
## 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: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2556 0.0653 9.0842 9.5067 2.0000 272.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.8435 0.6246 4.5521 0.0000 1.6137 4.0732
## emo_sec_1 -0.2253 0.4215 -0.5345 0.5935 -1.0550 0.6045
## SFC 0.7070 0.1766 4.0028 0.0001 0.3593 1.0547
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1014 0.0103 9.5841 2.8347 1.0000 273.0000 0.0934
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1232 0.2635 19.4403 0.0000 4.6044 5.6420
## emo_sec_1 0.6286 0.3734 1.6837 0.0934 -0.1064 1.3637
##
## ***********************************************************************
## 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
## 0.6286 0.3734 1.6837 0.0934 -0.1064 1.3637
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.2253 0.4215 -0.5345 0.5935 -1.0550 0.6045
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SFC 0.8539 0.2214 0.4345 1.3182
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SFC 0.8539 0.2318 3.6833 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: emo_sec -> upbringing -> punishment
##
## ********************* 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 : punishment
## 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: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1272 0.0162 9.5620 2.2371 2.0000 272.0000 0.1087
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.9215 0.6779 8.7352 0.0000 4.5869 7.2560
## emo_sec_1 0.1484 0.5295 0.2802 0.7795 -0.8940 1.1908
## upbringing -0.1785 0.1397 -1.2779 0.2024 -0.4536 0.0965
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1014 0.0103 9.5841 2.8347 1.0000 273.0000 0.0934
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1232 0.2635 19.4403 0.0000 4.6044 5.6420
## emo_sec_1 0.6286 0.3734 1.6837 0.0934 -0.1064 1.3637
##
## ***********************************************************************
## 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
## 0.6286 0.3734 1.6837 0.0934 -0.1064 1.3637
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1484 0.5295 0.2802 0.7795 -0.8940 1.1908
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## upbringing 0.4803 0.4048 -0.3053 1.2798
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## upbringing 0.4803 0.3776 1.2718 0.2034
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000##
## ********************* 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 : punishment
## X : emo_sec_1
## M1 : sympathy
## M2 : SE
## M3 : SFC
##
## 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: 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: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.3956 0.1565 8.2592 12.5208 4.0000 270.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.3933 1.0238 4.2913 0.0000 2.3777 6.4088
## emo_sec_1 -0.3744 0.4155 -0.9010 0.3684 -1.1925 0.4437
## sympathy -0.4535 0.1313 -3.4536 0.0006 -0.7121 -0.1950
## SE 0.4617 0.1583 2.9160 0.0038 0.1500 0.7733
## SFC 0.1185 0.2009 0.5896 0.5559 -0.2771 0.5140
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: punishment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1014 0.0103 9.5841 2.8347 1.0000 273.0000 0.0934
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1232 0.2635 19.4403 0.0000 4.6044 5.6420
## emo_sec_1 0.6286 0.3734 1.6837 0.0934 -0.1064 1.3637
##
## ***********************************************************************
## 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
## 0.6286 0.3734 1.6837 0.0934 -0.1064 1.3637
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.3744 0.4155 -0.9010 0.3684 -1.1925 0.4437
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## TOTAL 1.0030 0.2554 0.5150 1.5279
## sympathy 0.6585 0.2252 0.2436 1.1259
## SE 0.2015 0.1209 0.0275 0.4969
## SFC 0.1431 0.2233 -0.3093 0.5671
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## sympathy 0.6585 0.2103 3.1309 0.0017
## SE 0.2015 0.1035 1.9462 0.0516
## SFC 0.1431 0.2444 0.5854 0.5583
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000