##
## ********************* 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_check, 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) 4.97518 0.10826 45.954 < 2e-16 ***
## econ_sec_check 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_sec_check -> 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_check
## 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
## constant 1.4862 0.1155 12.8663 0.0000 1.2588
## econ_sec_check 0.5548 0.0291 19.0713 0.0000 0.4976
## ULCI
## constant 1.7136
## econ_sec_check 0.6121
##
## ***********************************************************************
## 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
## constant 4.7331 0.1354 34.9624 0.0000 4.4666
## econ_sec_check -0.0009 0.0411 -0.0219 0.9826 -0.0818
## SES 0.1629 0.0560 2.9104 0.0039 0.0527
## ULCI
## constant 4.9996
## econ_sec_check 0.0800
## SES 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
## constant 4.9752 0.1083 45.9543 0.0000 4.7620
## econ_sec_check 0.0895 0.0273 3.2813 0.0012 0.0358
## ULCI
## constant 5.1883
## econ_sec_check 0.1432
##
## ***********************************************************************
## 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 0.0358 0.1432
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0009 0.0411 -0.0219 0.9826 -0.0818 0.0800
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SES 0.0904 0.0301 0.0318 0.1498
##
## 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_sec_check -> 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_check
## 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
## constant 3.5066 0.1744 20.1105 0.0000 3.1633
## econ_sec_check -0.1431 0.0439 -3.2583 0.0013 -0.2296
## ULCI
## constant 3.8499
## econ_sec_check -0.0566
##
## ***********************************************************************
## 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
## constant 5.4610 0.1665 32.7896 0.0000 5.1331
## econ_sec_check 0.0696 0.0271 2.5660 0.0108 0.0162
## SEImpairment -0.1386 0.0367 -3.7756 0.0002 -0.2108
## ULCI
## constant 5.7889
## econ_sec_check 0.1231
## SEImpairment -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
## constant 4.9752 0.1083 45.9543 0.0000 4.7620
## econ_sec_check 0.0895 0.0273 3.2813 0.0012 0.0358
## ULCI
## constant 5.1883
## econ_sec_check 0.1432
##
## ***********************************************************************
## 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 0.0358 0.1432
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0696 0.0271 2.5660 0.0108 0.0162 0.1231
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SEImpairment 0.0198 0.0078 0.0066 0.0370
##
## 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_sec_check -> 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_check
## 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
## constant 2.8322 0.2140 13.2337 0.0000 2.4109
## econ_sec_check 0.1840 0.0539 3.4142 0.0007 0.0779
## ULCI
## constant 3.2536
## econ_sec_check 0.2902
##
## ***********************************************************************
## 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
## constant 4.6902 0.1362 34.4395 0.0000 4.4221
## econ_sec_check 0.0710 0.0273 2.5955 0.0100 0.0171
## surprise 0.1006 0.0301 3.3472 0.0009 0.0414
## ULCI
## constant 4.9583
## econ_sec_check 0.1248
## surprise 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
## constant 4.9752 0.1083 45.9543 0.0000 4.7620
## econ_sec_check 0.0895 0.0273 3.2813 0.0012 0.0358
## ULCI
## constant 5.1883
## econ_sec_check 0.1432
##
## ***********************************************************************
## 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 0.0358 0.1432
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0710 0.0273 2.5955 0.0100 0.0171 0.1248
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## surprise 0.0185 0.0072 0.0067 0.0344
##
## 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_sec_check -> 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_check
## 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
## constant 2.9635 0.1699 17.4394 0.0000 2.6289
## econ_sec_check -0.1850 0.0428 -4.3216 0.0000 -0.2692
## ULCI
## constant 3.2980
## econ_sec_check -0.1007
##
## ***********************************************************************
## 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
## constant 5.6908 0.1459 38.9962 0.0000 5.4035
## econ_sec_check 0.0448 0.0261 1.7148 0.0875 -0.0066
## sympathy -0.2415 0.0357 -6.7556 0.0000 -0.3119
## ULCI
## constant 5.9781
## econ_sec_check 0.0962
## sympathy -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
## constant 4.9752 0.1083 45.9543 0.0000 4.7620
## econ_sec_check 0.0895 0.0273 3.2813 0.0012 0.0358
## ULCI
## constant 5.1883
## econ_sec_check 0.1432
##
## ***********************************************************************
## 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 0.0358 0.1432
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0448 0.0261 1.7148 0.0875 -0.0066 0.0962
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## sympathy 0.0447 0.0127 0.0217 0.0714
##
## 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_sec_check -> 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_check
## 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
## constant 3.6543 0.1329 27.4951 0.0000 3.3926
## econ_sec_check 0.1113 0.0335 3.3256 0.0010 0.0454
## ULCI
## constant 3.9159
## econ_sec_check 0.1772
##
## ***********************************************************************
## 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
## constant 3.8091 0.1937 19.6606 0.0000 3.4277
## econ_sec_check 0.0540 0.0256 2.1043 0.0363 0.0035
## SE 0.3191 0.0454 7.0214 0.0000 0.2296
## ULCI
## constant 4.1906
## econ_sec_check 0.1044
## SE 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
## constant 4.9752 0.1083 45.9543 0.0000 4.7620
## econ_sec_check 0.0895 0.0273 3.2813 0.0012 0.0358
## ULCI
## constant 5.1883
## econ_sec_check 0.1432
##
## ***********************************************************************
## 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 0.0358 0.1432
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0540 0.0256 2.1043 0.0363 0.0035 0.1044
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SE 0.0355 0.0124 0.0130 0.0620
##
## 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_sec_check -> 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_check
## 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
## constant 3.4065 0.1181 28.8375 0.0000 3.1740
## econ_sec_check 0.1310 0.0298 4.4046 0.0000 0.0725
## ULCI
## constant 3.6391
## econ_sec_check 0.1896
##
## ***********************************************************************
## 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
## constant 3.7286 0.2000 18.6405 0.0000 3.3348
## econ_sec_check 0.0415 0.0259 1.6018 0.1104 -0.0095
## SFC 0.3659 0.0509 7.1825 0.0000 0.2656
## ULCI
## constant 4.1224
## econ_sec_check 0.0925
## SFC 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
## constant 4.9752 0.1083 45.9543 0.0000 4.7620
## econ_sec_check 0.0895 0.0273 3.2813 0.0012 0.0358
## ULCI
## constant 5.1883
## econ_sec_check 0.1432
##
## ***********************************************************************
## 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 0.0358 0.1432
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0415 0.0259 1.6018 0.1104 -0.0095 0.0925
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## SFC 0.0480 0.0132 0.0243 0.0761
##
## 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_sec_check -> 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_check
## 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
## constant 3.9915 0.1831 21.8007 0.0000 3.6311
## econ_sec_check -0.2686 0.0461 -5.8253 0.0000 -0.3594
## ULCI
## constant 4.3520
## econ_sec_check -0.1778
##
## ***********************************************************************
## 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
## constant 5.5437 0.1743 31.8088 0.0000 5.2006
## econ_sec_check 0.0512 0.0281 1.8217 0.0696 -0.0041
## upbringing -0.1424 0.0348 -4.0929 0.0001 -0.2109
## ULCI
## constant 5.8868
## econ_sec_check 0.1066
## upbringing -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
## constant 4.9752 0.1083 45.9543 0.0000 4.7620
## econ_sec_check 0.0895 0.0273 3.2813 0.0012 0.0358
## ULCI
## constant 5.1883
## econ_sec_check 0.1432
##
## ***********************************************************************
## 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 0.0358 0.1432
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.0512 0.0281 1.8217 0.0696 -0.0041 0.1066
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## upbringing 0.0383 0.0106 0.0195 0.0611
##
## 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_sec_check -> 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_sec_check
## M1 : SES
## M2 : SEImpairment
## M3 : surprise
## M4 : sympathy
## M5 : SE
## M6 : SFC
## M7 : upbringing
##
## 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
## constant 1.4862 0.1155 12.8663 0.0000 1.2588
## econ_sec_check 0.5548 0.0291 19.0713 0.0000 0.4976
## ULCI
## constant 1.7136
## econ_sec_check 0.6121
##
## ***********************************************************************
## 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
## constant 3.5066 0.1744 20.1105 0.0000 3.1633
## econ_sec_check -0.1431 0.0439 -3.2583 0.0013 -0.2296
## ULCI
## constant 3.8499
## econ_sec_check -0.0566
##
## ***********************************************************************
## 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
## constant 2.8322 0.2140 13.2337 0.0000 2.4109
## econ_sec_check 0.1840 0.0539 3.4142 0.0007 0.0779
## ULCI
## constant 3.2536
## econ_sec_check 0.2902
##
## ***********************************************************************
## 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
## constant 2.9635 0.1699 17.4394 0.0000 2.6289
## econ_sec_check -0.1850 0.0428 -4.3216 0.0000 -0.2692
## ULCI
## constant 3.2980
## econ_sec_check -0.1007
##
## ***********************************************************************
## 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
## constant 3.6543 0.1329 27.4951 0.0000 3.3926
## econ_sec_check 0.1113 0.0335 3.3256 0.0010 0.0454
## ULCI
## constant 3.9159
## econ_sec_check 0.1772
##
## ***********************************************************************
## 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
## constant 3.4065 0.1181 28.8375 0.0000 3.1740
## econ_sec_check 0.1310 0.0298 4.4046 0.0000 0.0725
## ULCI
## constant 3.6391
## econ_sec_check 0.1896
##
## ***********************************************************************
## 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
## constant 3.9915 0.1831 21.8007 0.0000 3.6311
## econ_sec_check -0.2686 0.0461 -5.8253 0.0000 -0.3594
## ULCI
## constant 4.3520
## econ_sec_check -0.1778
##
## ***********************************************************************
## Outcome Variable: blame
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.5231 0.2737 0.8714 12.5285 8.0000 266.0000 0.0000
##
## Model:
## coeff se t p LLCI
## constant 3.5909 0.4906 7.3198 0.0000 2.6250
## econ_sec_check -0.0160 0.0371 -0.4310 0.6668 -0.0891
## SES 0.0770 0.0532 1.4470 0.1491 -0.0278
## SEImpairment 0.0114 0.0570 0.1995 0.8420 -0.1008
## surprise 0.0431 0.0388 1.1126 0.2669 -0.0332
## sympathy -0.0980 0.0432 -2.2685 0.0241 -0.1831
## SE 0.1868 0.0525 3.5555 0.0004 0.0834
## SFC 0.1823 0.0733 2.4878 0.0135 0.0380
## upbringing 0.0237 0.0497 0.4783 0.6328 -0.0740
## ULCI
## constant 4.5568
## econ_sec_check 0.0571
## SES 0.1818
## SEImpairment 0.1235
## surprise 0.1194
## sympathy -0.0129
## SE 0.2902
## SFC 0.3266
## upbringing 0.1215
##
## ************************ 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
## constant 4.9752 0.1083 45.9543 0.0000 4.7620
## econ_sec_check 0.0895 0.0273 3.2813 0.0012 0.0358
## ULCI
## constant 5.1883
## econ_sec_check 0.1432
##
## ***********************************************************************
## 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 0.0358 0.1432
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## -0.0160 0.0371 -0.4310 0.6668 -0.0891 0.0571
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## TOTAL 0.1055 0.0347 0.0372 0.1746
## SES 0.0427 0.0319 -0.0215 0.1038
## SEImpairment -0.0016 0.0081 -0.0176 0.0156
## surprise 0.0079 0.0072 -0.0055 0.0229
## sympathy 0.0181 0.0106 -0.0011 0.0406
## SE 0.0208 0.0091 0.0064 0.0416
## SFC 0.0239 0.0116 0.0041 0.0497
## upbringing -0.0064 0.0129 -0.0334 0.0179
##
## Normal theory test for indirect effect(s):
## Effect se Z p
## SES 0.0427 0.0297 1.4409 0.1496
## SEImpairment -0.0016 0.0085 -0.1904 0.8490
## surprise 0.0079 0.0078 1.0191 0.3081
## sympathy 0.0181 0.0092 1.9677 0.0491
## SE 0.0208 0.0087 2.3791 0.0174
## SFC 0.0239 0.0112 2.1250 0.0336
## upbringing -0.0064 0.0136 -0.4698 0.6385
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 10000