##
## ********************* 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_sec_1, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.3897 -0.3897 0.6103 0.8633 0.8633
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.13669 0.09107 56.401 <2e-16 ***
## econ_sec_1 0.25302 0.12951 1.954 0.0518 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.074 on 273 degrees of freedom
## Multiple R-squared: 0.01379, Adjusted R-squared: 0.01018
## F-statistic: 3.817 on 1 and 273 DF, p-value: 0.05176Mediation analysis: econ_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 : econ_sec_1
## M : SES
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SES
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.7124 0.5076 1.4703 281.3962 1.0000 273.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.0504 0.1028 19.9357 0.0000 1.8479 2.2528
## econ_sec_1 2.4533 0.1462 16.7749 0.0000 2.1654 2.7412
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2759 0.0761 1.0840 11.2030 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.6803 0.1384 33.8190 0.0000 4.4078 4.9527
## econ_sec_1 -0.2931 0.1790 -1.6377 0.1026 -0.6454 0.0592
## SES 0.2226 0.0520 4.2833 0.0000 0.1203 0.3249
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1174 0.0138 1.1529 3.8169 1.0000 273.0000 0.0518
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1367 0.0911 56.4015 0.0000 4.9574 5.3160
## econ_sec_1 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## ***********************************************************************
## 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
## 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.2931 0.1790 -1.6377 0.1026 -0.6454 0.0592
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SES 0.5461 0.1503 0.2756 0.8717
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SES 0.5461 0.1318 4.1432 0.0000
##
## ******************** 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_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 : econ_sec_1
## M : SEImpairment
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SEImpairment
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0249 0.0006 3.0290 0.1699 1.0000 273.0000 0.6805
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.0054 0.1476 20.3592 0.0000 2.7148 3.2960
## econ_sec_1 0.0865 0.2099 0.4122 0.6805 -0.3267 0.4998
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2811 0.0790 1.0806 11.6716 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.6136 0.1399 40.1202 0.0000 5.3382 5.8891
## econ_sec_1 0.2667 0.1254 2.1269 0.0343 0.0198 0.5137
## SEImpairment -0.1587 0.0361 -4.3899 0.0000 -0.2299 -0.0875
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1174 0.0138 1.1529 3.8169 1.0000 273.0000 0.0518
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1367 0.0911 56.4015 0.0000 4.9574 5.3160
## econ_sec_1 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## ***********************************************************************
## 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
## 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.2667 0.1254 2.1269 0.0343 0.0198 0.5137
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SEImpairment -0.0137 0.0336 -0.0812 0.0531
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SEImpairment -0.0137 0.0343 -0.4002 0.6890
##
## ******************** 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_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 : econ_sec_1
## M : surprise
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: surprise
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0363 0.0013 4.5766 0.3594 1.0000 273.0000 0.5494
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.3453 0.1815 18.4362 0.0000 2.9881 3.7026
## econ_sec_1 0.1547 0.2580 0.5995 0.5494 -0.3533 0.6626
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2550 0.0650 1.0970 9.4588 2.0000 272.0000 0.0001
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.7540 0.1331 35.7142 0.0000 4.4919 5.0160
## econ_sec_1 0.2353 0.1264 1.8615 0.0637 -0.0135 0.4842
## surprise 0.1144 0.0296 3.8609 0.0001 0.0561 0.1727
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1174 0.0138 1.1529 3.8169 1.0000 273.0000 0.0518
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1367 0.0911 56.4015 0.0000 4.9574 5.3160
## econ_sec_1 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## ***********************************************************************
## 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
## 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.2353 0.1264 1.8615 0.0637 -0.0135 0.4842
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## surprise 0.0177 0.0297 -0.0427 0.0769
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## surprise 0.0177 0.0308 0.5739 0.5661
##
## ******************** 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_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 : econ_sec_1
## M : sympathy
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: sympathy
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1631 0.0266 2.8816 7.4610 1.0000 273.0000 0.0067
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.6475 0.1440 18.3876 0.0000 2.3640 2.9309
## econ_sec_1 -0.5592 0.2047 -2.7315 0.0067 -0.9623 -0.1562
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4122 0.1699 0.9740 27.8369 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.8030 0.1252 46.3346 0.0000 5.5564 6.0495
## econ_sec_1 0.1123 0.1206 0.9306 0.3529 -0.1253 0.3498
## sympathy -0.2517 0.0352 -7.1523 0.0000 -0.3209 -0.1824
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1174 0.0138 1.1529 3.8169 1.0000 273.0000 0.0518
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1367 0.0911 56.4015 0.0000 4.9574 5.3160
## econ_sec_1 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## ***********************************************************************
## 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
## 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1123 0.1206 0.9306 0.3529 -0.1253 0.3498
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## sympathy 0.1407 0.0560 0.0377 0.2568
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## sympathy 0.1407 0.0556 2.5302 0.0114
##
## ******************** 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_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 : econ_sec_1
## M : SE
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SE
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1485 0.0221 1.7247 6.1562 1.0000 273.0000 0.0137
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.8165 0.1114 34.2624 0.0000 3.5973 4.0358
## econ_sec_1 0.3930 0.1584 2.4812 0.0137 0.0812 0.7048
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4189 0.1755 0.9674 28.9454 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.8732 0.1921 20.1662 0.0000 3.4951 4.2513
## econ_sec_1 0.1229 0.1200 1.0245 0.3065 -0.1133 0.3591
## SE 0.3311 0.0453 7.3036 0.0000 0.2418 0.4203
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1174 0.0138 1.1529 3.8169 1.0000 273.0000 0.0518
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1367 0.0911 56.4015 0.0000 4.9574 5.3160
## econ_sec_1 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## ***********************************************************************
## 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
## 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1229 0.1200 1.0245 0.3065 -0.1133 0.3591
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SE 0.1301 0.0538 0.0287 0.2410
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SE 0.1301 0.0558 2.3298 0.0198
##
## ******************** 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, SFC4
Mediation analysis: econ_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 : econ_sec_1
## M : SFC
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: SFC
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.0998 0.0100 1.4199 2.7437 1.0000 273.0000 0.0988
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.7086 0.1011 36.6941 0.0000 3.5097 3.9076
## econ_sec_1 0.2381 0.1437 1.6564 0.0988 -0.0449 0.5210
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4351 0.1893 0.9512 31.7609 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.7268 0.2015 18.4971 0.0000 3.3301 4.1235
## econ_sec_1 0.1625 0.1182 1.3747 0.1704 -0.0702 0.3953
## SFC 0.3802 0.0495 7.6743 0.0000 0.2826 0.4777
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1174 0.0138 1.1529 3.8169 1.0000 273.0000 0.0518
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1367 0.0911 56.4015 0.0000 4.9574 5.3160
## econ_sec_1 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## ***********************************************************************
## 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
## 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1625 0.1182 1.3747 0.1704 -0.0702 0.3953
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SFC 0.0905 0.0564 -0.0167 0.2084
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SFC 0.0905 0.0563 1.6062 0.1082
##
## ******************** 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_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 : econ_sec_1
## M : upbringing
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: upbringing
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1451 0.0211 3.5403 5.8723 1.0000 273.0000 0.0160
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.4029 0.1596 21.3223 0.0000 3.0887 3.7171
## econ_sec_1 -0.5499 0.2269 -2.4233 0.0160 -0.9967 -0.1032
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.2976 0.0886 1.0694 13.2133 2.0000 272.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.6714 0.1432 39.6040 0.0000 5.3894 5.9533
## econ_sec_1 0.1666 0.1261 1.3216 0.1874 -0.0816 0.4148
## upbringing -0.1571 0.0333 -4.7235 0.0000 -0.2226 -0.0916
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1174 0.0138 1.1529 3.8169 1.0000 273.0000 0.0518
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1367 0.0911 56.4015 0.0000 4.9574 5.3160
## econ_sec_1 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## ***********************************************************************
## 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
## 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.1666 0.1261 1.3216 0.1874 -0.0816 0.4148
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## upbringing 0.0864 0.0392 0.0152 0.1706
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## upbringing 0.0864 0.0408 2.1188 0.0341
##
## ******************** 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 : blame
## X : econ_sec_1
## M1 : sympathy
## M2 : SE
## M3 : upbringing
##
## Sample size: 275
##
## Custom seed: 1234
##
##
## ***********************************************************************
## Outcome Variable: sympathy
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1631 0.0266 2.8816 7.4610 1.0000 273.0000 0.0067
##
## Model:
## coeff se t p LLCI ULCI
## constant 2.6475 0.1440 18.3876 0.0000 2.3640 2.9309
## econ_sec_1 -0.5592 0.2047 -2.7315 0.0067 -0.9623 -0.1562
##
## ***********************************************************************
## Outcome Variable: SE
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1485 0.0221 1.7247 6.1562 1.0000 273.0000 0.0137
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.8165 0.1114 34.2624 0.0000 3.5973 4.0358
## econ_sec_1 0.3930 0.1584 2.4812 0.0137 0.0812 0.7048
##
## ***********************************************************************
## Outcome Variable: upbringing
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1451 0.0211 3.5403 5.8723 1.0000 273.0000 0.0160
##
## Model:
## coeff se t p LLCI ULCI
## constant 3.4029 0.1596 21.3223 0.0000 3.0887 3.7171
## econ_sec_1 -0.5499 0.2269 -2.4233 0.0160 -0.9967 -0.1032
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4933 0.2433 0.8944 21.7070 4.0000 270.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 4.8392 0.2704 17.8998 0.0000 4.3070 5.3715
## econ_sec_1 0.0485 0.1164 0.4169 0.6771 -0.1806 0.2776
## sympathy -0.1322 0.0421 -3.1413 0.0019 -0.2151 -0.0494
## SE 0.2329 0.0491 4.7407 0.0000 0.1362 0.3297
## upbringing -0.0709 0.0343 -2.0666 0.0397 -0.1385 -0.0034
##
## ************************ TOTAL EFFECT MODEL ***************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1174 0.0138 1.1529 3.8169 1.0000 273.0000 0.0518
##
## Model:
## coeff se t p LLCI ULCI
## constant 5.1367 0.0911 56.4015 0.0000 4.9574 5.3160
## econ_sec_1 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## ***********************************************************************
## 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
## 0.2530 0.1295 1.9537 0.0518 -0.0019 0.5080
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0485 0.1164 0.4169 0.6771 -0.1806 0.2776
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## TOTAL 0.2045 0.0663 0.0773 0.3389
## sympathy 0.0739 0.0390 0.0092 0.1618
## SE 0.0915 0.0422 0.0186 0.1838
## upbringing 0.0390 0.0240 0.0025 0.0954
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## sympathy 0.0739 0.0369 2.0042 0.0450
## SE 0.0915 0.0424 2.1609 0.0307
## upbringing 0.0390 0.0260 1.5002 0.1336
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000