Load Data
Mediation
Continuous Status
DV: Voice
Meds - Task + Status
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 4 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Parallel Multiple Mediation (2 meds)
## - Outcome (Y) : voice
## - Predictor (X) : status
## - Mediators (M) : futtask, futstatus
## - Moderators (W) : -
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futtask ~ status + (1 | pid)
## - futstatus ~ status + (1 | pid)
## Formula of Outcome:
## - voice ~ status + futtask + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ─────────────────────────────────────────────────────────────────────────────
## (1) voice (2) futtask (3) futstatus (4) voice
## ─────────────────────────────────────────────────────────────────────────────
## (Intercept) 4.959 *** 2.850 *** 3.036 *** 4.958 ***
## (0.048) (0.063) (0.069) (0.047)
## status 0.610 *** -0.372 *** -0.271 *** 0.563 ***
## (0.021) (0.028) (0.027) (0.023)
## futtask -0.091 **
## (0.029)
## futstatus -0.050
## (0.030)
## ─────────────────────────────────────────────────────────────────────────────
## AIC 3423.518 4001.925 3956.588 3407.535
## BIC 3443.563 4021.970 3976.633 3437.603
## Num. obs. 1109 1109 1109 1109
## Num. groups: pid 334 334 334 334
## Var: pid (Intercept) 0.480 0.829 1.161 0.459
## Var: Residual 0.939 1.574 1.370 0.919
## ─────────────────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0)
## Effect Type : Parallel Multiple Mediation (2 meds) (Model 4)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Running 5000 simulations...
## Indirect Path: "status" (X) ==> "futtask" (M) ==> "voice" (Y)
## ─────────────────────────────────────────────────────────────
## Effect S.E. z p [MCMC 95% CI]
## ─────────────────────────────────────────────────────────────
## Indirect (ab) 0.034 (0.011) 3.028 .002 ** [0.013, 0.056]
## Direct (c') 0.562 (0.023) 24.755 <.001 *** [0.518, 0.606]
## ─────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Running 5000 simulations...
## Indirect Path: "status" (X) ==> "futstatus" (M) ==> "voice" (Y)
## ──────────────────────────────────────────────────────────────
## Effect S.E. z p [MCMC 95% CI]
## ──────────────────────────────────────────────────────────────
## Indirect (ab) 0.014 (0.008) 1.696 .090 . [-0.002, 0.029]
## Direct (c') 0.562 (0.023) 24.755 <.001 *** [ 0.518, 0.606]
## ──────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Meds - Status
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 4 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Simple Mediation
## - Outcome (Y) : voice
## - Predictor (X) : status
## - Mediators (M) : futstatus
## - Moderators (W) : -
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futstatus ~ status + (1 | pid)
## Formula of Outcome:
## - voice ~ status + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ───────────────────────────────────────────────────────────────
## (1) voice (2) futstatus (3) voice
## ───────────────────────────────────────────────────────────────
## (Intercept) 4.959 *** 3.036 *** 4.959 ***
## (0.048) (0.069) (0.047)
## status 0.610 *** -0.271 *** 0.581 ***
## (0.021) (0.027) (0.022)
## futstatus -0.108 ***
## (0.023)
## ───────────────────────────────────────────────────────────────
## AIC 3423.518 3956.588 3409.975
## BIC 3443.563 3976.633 3435.031
## Num. obs. 1109 1109 1109
## Num. groups: pid 334 334 334
## Var: pid (Intercept) 0.480 1.161 0.462
## Var: Residual 0.939 1.370 0.926
## ───────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0)
## Effect Type : Simple Mediation (Model 4)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Running 5000 simulations...
## Indirect Path: "status" (X) ==> "futstatus" (M) ==> "voice" (Y)
## ─────────────────────────────────────────────────────────────
## Effect S.E. z p [MCMC 95% CI]
## ─────────────────────────────────────────────────────────────
## Indirect (ab) 0.029 (0.007) 4.241 <.001 *** [0.016, 0.043]
## Direct (c') 0.582 (0.022) 26.741 <.001 *** [0.538, 0.623]
## Total (c) 0.611 (0.021) 28.748 <.001 *** [0.568, 0.652]
## ─────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Meds - Task
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 4 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Simple Mediation
## - Outcome (Y) : voice
## - Predictor (X) : status
## - Mediators (M) : futstatus
## - Moderators (W) : -
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futstatus ~ status + (1 | pid)
## Formula of Outcome:
## - voice ~ status + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ───────────────────────────────────────────────────────────────
## (1) voice (2) futstatus (3) voice
## ───────────────────────────────────────────────────────────────
## (Intercept) 4.959 *** 3.036 *** 4.959 ***
## (0.048) (0.069) (0.047)
## status 0.610 *** -0.271 *** 0.581 ***
## (0.021) (0.027) (0.022)
## futstatus -0.108 ***
## (0.023)
## ───────────────────────────────────────────────────────────────
## AIC 3423.518 3956.588 3409.975
## BIC 3443.563 3976.633 3435.031
## Num. obs. 1109 1109 1109
## Num. groups: pid 334 334 334
## Var: pid (Intercept) 0.480 1.161 0.462
## Var: Residual 0.939 1.370 0.926
## ───────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0)
## Effect Type : Simple Mediation (Model 4)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Running 5000 simulations...
## Indirect Path: "status" (X) ==> "futstatus" (M) ==> "voice" (Y)
## ─────────────────────────────────────────────────────────────
## Effect S.E. z p [MCMC 95% CI]
## ─────────────────────────────────────────────────────────────
## Indirect (ab) 0.029 (0.007) 4.241 <.001 *** [0.016, 0.043]
## Direct (c') 0.582 (0.022) 26.741 <.001 *** [0.538, 0.623]
## Total (c) 0.611 (0.021) 28.748 <.001 *** [0.568, 0.652]
## ─────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)DV: Prohibitive Voice
Meds - Task + Status
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 4 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Parallel Multiple Mediation (2 meds)
## - Outcome (Y) : voice.proh
## - Predictor (X) : status
## - Mediators (M) : futtask, futstatus
## - Moderators (W) : -
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futtask ~ status + (1 | pid)
## - futstatus ~ status + (1 | pid)
## Formula of Outcome:
## - voice.proh ~ status + futtask + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ─────────────────────────────────────────────────────────────────────────────────
## (1) voice.proh (2) futtask (3) futstatus (4) voice.proh
## ─────────────────────────────────────────────────────────────────────────────────
## (Intercept) 4.473 *** 2.850 *** 3.036 *** 4.473 ***
## (0.066) (0.063) (0.069) (0.066)
## status 0.564 *** -0.372 *** -0.271 *** 0.553 ***
## (0.026) (0.028) (0.027) (0.028)
## futtask -0.027
## (0.035)
## futstatus -0.002
## (0.036)
## ─────────────────────────────────────────────────────────────────────────────────
## AIC 3849.458 4001.925 3956.588 3862.607
## BIC 3869.503 4021.970 3976.633 3892.675
## Num. obs. 1109 1109 1109 1109
## Num. groups: pid 334 334 334 334
## Var: pid (Intercept) 1.092 0.829 1.161 1.091
## Var: Residual 1.231 1.574 1.370 1.233
## ─────────────────────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0)
## Effect Type : Parallel Multiple Mediation (2 meds) (Model 4)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Running 5000 simulations...
## Indirect Path: "status" (X) ==> "futtask" (M) ==> "voice.proh" (Y)
## ──────────────────────────────────────────────────────────────
## Effect S.E. z p [MCMC 95% CI]
## ──────────────────────────────────────────────────────────────
## Indirect (ab) 0.010 (0.013) 0.762 .446 [-0.015, 0.036]
## Direct (c') 0.553 (0.028) 19.857 <.001 *** [ 0.498, 0.606]
## ──────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Running 5000 simulations...
## Indirect Path: "status" (X) ==> "futstatus" (M) ==> "voice.proh" (Y)
## ──────────────────────────────────────────────────────────────
## Effect S.E. z p [MCMC 95% CI]
## ──────────────────────────────────────────────────────────────
## Indirect (ab) 0.001 (0.010) 0.061 .952 [-0.018, 0.019]
## Direct (c') 0.553 (0.028) 19.857 <.001 *** [ 0.498, 0.606]
## ──────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Meds - Status
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 4 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Simple Mediation
## - Outcome (Y) : voice.proh
## - Predictor (X) : status
## - Mediators (M) : futstatus
## - Moderators (W) : -
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futstatus ~ status + (1 | pid)
## Formula of Outcome:
## - voice.proh ~ status + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ───────────────────────────────────────────────────────────────────
## (1) voice.proh (2) futstatus (3) voice.proh
## ───────────────────────────────────────────────────────────────────
## (Intercept) 4.473 *** 3.036 *** 4.473 ***
## (0.066) (0.069) (0.066)
## status 0.564 *** -0.271 *** 0.559 ***
## (0.026) (0.027) (0.027)
## futstatus -0.018
## (0.029)
## ───────────────────────────────────────────────────────────────────
## AIC 3849.458 3956.588 3856.314
## BIC 3869.503 3976.633 3881.370
## Num. obs. 1109 1109 1109
## Num. groups: pid 334 334 334
## Var: pid (Intercept) 1.092 1.161 1.091
## Var: Residual 1.231 1.370 1.232
## ───────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0)
## Effect Type : Simple Mediation (Model 4)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Running 5000 simulations...
## Indirect Path: "status" (X) ==> "futstatus" (M) ==> "voice.proh" (Y)
## ──────────────────────────────────────────────────────────────
## Effect S.E. z p [MCMC 95% CI]
## ──────────────────────────────────────────────────────────────
## Indirect (ab) 0.005 (0.008) 0.651 .515 [-0.010, 0.020]
## Direct (c') 0.559 (0.027) 21.058 <.001 *** [ 0.506, 0.610]
## Total (c) 0.564 (0.026) 21.991 <.001 *** [ 0.513, 0.614]
## ──────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Meds - Task
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 4 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Simple Mediation
## - Outcome (Y) : voice.proh
## - Predictor (X) : status
## - Mediators (M) : futstatus
## - Moderators (W) : -
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futstatus ~ status + (1 | pid)
## Formula of Outcome:
## - voice.proh ~ status + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ───────────────────────────────────────────────────────────────────
## (1) voice.proh (2) futstatus (3) voice.proh
## ───────────────────────────────────────────────────────────────────
## (Intercept) 4.473 *** 3.036 *** 4.473 ***
## (0.066) (0.069) (0.066)
## status 0.564 *** -0.271 *** 0.559 ***
## (0.026) (0.027) (0.027)
## futstatus -0.018
## (0.029)
## ───────────────────────────────────────────────────────────────────
## AIC 3849.458 3956.588 3856.314
## BIC 3869.503 3976.633 3881.370
## Num. obs. 1109 1109 1109
## Num. groups: pid 334 334 334
## Var: pid (Intercept) 1.092 1.161 1.091
## Var: Residual 1.231 1.370 1.232
## ───────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0)
## Effect Type : Simple Mediation (Model 4)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Running 5000 simulations...
## Indirect Path: "status" (X) ==> "futstatus" (M) ==> "voice.proh" (Y)
## ──────────────────────────────────────────────────────────────
## Effect S.E. z p [MCMC 95% CI]
## ──────────────────────────────────────────────────────────────
## Indirect (ab) 0.005 (0.008) 0.651 .515 [-0.010, 0.020]
## Direct (c') 0.559 (0.027) 21.058 <.001 *** [ 0.506, 0.610]
## Total (c) 0.564 (0.026) 21.991 <.001 *** [ 0.513, 0.614]
## ──────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)DV: Promotive voice
Meds - Task + Status
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 4 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Parallel Multiple Mediation (2 meds)
## - Outcome (Y) : voice.prom
## - Predictor (X) : status
## - Mediators (M) : futtask, futstatus
## - Moderators (W) : -
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futtask ~ status + (1 | pid)
## - futstatus ~ status + (1 | pid)
## Formula of Outcome:
## - voice.prom ~ status + futtask + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ─────────────────────────────────────────────────────────────────────────────────
## (1) voice.prom (2) futtask (3) futstatus (4) voice.prom
## ─────────────────────────────────────────────────────────────────────────────────
## (Intercept) 4.914 *** 2.850 *** 3.036 *** 4.913 ***
## (0.049) (0.063) (0.069) (0.048)
## status 0.620 *** -0.372 *** -0.271 *** 0.575 ***
## (0.023) (0.028) (0.027) (0.025)
## futtask -0.107 ***
## (0.032)
## futstatus -0.022
## (0.032)
## ─────────────────────────────────────────────────────────────────────────────────
## AIC 3601.462 4001.925 3956.588 3592.153
## BIC 3621.507 4021.970 3976.633 3622.220
## Num. obs. 1109 1109 1109 1109
## Num. groups: pid 334 334 334 334
## Var: pid (Intercept) 0.457 0.829 1.161 0.438
## Var: Residual 1.154 1.574 1.370 1.137
## ─────────────────────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0)
## Effect Type : Parallel Multiple Mediation (2 meds) (Model 4)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Running 5000 simulations...
## Indirect Path: "status" (X) ==> "futtask" (M) ==> "voice.prom" (Y)
## ─────────────────────────────────────────────────────────────
## Effect S.E. z p [MCMC 95% CI]
## ─────────────────────────────────────────────────────────────
## Indirect (ab) 0.040 (0.012) 3.249 .001 ** [0.017, 0.064]
## Direct (c') 0.575 (0.025) 23.353 <.001 *** [0.526, 0.622]
## ─────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Running 5000 simulations...
## Indirect Path: "status" (X) ==> "futstatus" (M) ==> "voice.prom" (Y)
## ──────────────────────────────────────────────────────────────
## Effect S.E. z p [MCMC 95% CI]
## ──────────────────────────────────────────────────────────────
## Indirect (ab) 0.006 (0.009) 0.680 .496 [-0.011, 0.023]
## Direct (c') 0.575 (0.025) 23.353 <.001 *** [ 0.526, 0.622]
## ──────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Meds - Status
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 4 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Simple Mediation
## - Outcome (Y) : voice.prom
## - Predictor (X) : status
## - Mediators (M) : futstatus
## - Moderators (W) : -
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futstatus ~ status + (1 | pid)
## Formula of Outcome:
## - voice.prom ~ status + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ───────────────────────────────────────────────────────────────────
## (1) voice.prom (2) futstatus (3) voice.prom
## ───────────────────────────────────────────────────────────────────
## (Intercept) 4.914 *** 3.036 *** 4.914 ***
## (0.049) (0.069) (0.049)
## status 0.620 *** -0.271 *** 0.597 ***
## (0.023) (0.027) (0.024)
## futstatus -0.090 ***
## (0.025)
## ───────────────────────────────────────────────────────────────────
## AIC 3601.462 3956.588 3596.324
## BIC 3621.507 3976.633 3621.380
## Num. obs. 1109 1109 1109
## Num. groups: pid 334 334 334
## Var: pid (Intercept) 0.457 1.161 0.444
## Var: Residual 1.154 1.370 1.146
## ───────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0)
## Effect Type : Simple Mediation (Model 4)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Running 5000 simulations...
## Indirect Path: "status" (X) ==> "futstatus" (M) ==> "voice.prom" (Y)
## ─────────────────────────────────────────────────────────────
## Effect S.E. z p [MCMC 95% CI]
## ─────────────────────────────────────────────────────────────
## Indirect (ab) 0.024 (0.007) 3.390 <.001 *** [0.011, 0.039]
## Direct (c') 0.597 (0.024) 25.328 <.001 *** [0.550, 0.642]
## Total (c) 0.621 (0.023) 27.045 <.001 *** [0.575, 0.666]
## ─────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Meds - Task
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 4 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Simple Mediation
## - Outcome (Y) : voice.prom
## - Predictor (X) : status
## - Mediators (M) : futstatus
## - Moderators (W) : -
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futstatus ~ status + (1 | pid)
## Formula of Outcome:
## - voice.prom ~ status + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ───────────────────────────────────────────────────────────────────
## (1) voice.prom (2) futstatus (3) voice.prom
## ───────────────────────────────────────────────────────────────────
## (Intercept) 4.914 *** 3.036 *** 4.914 ***
## (0.049) (0.069) (0.049)
## status 0.620 *** -0.271 *** 0.597 ***
## (0.023) (0.027) (0.024)
## futstatus -0.090 ***
## (0.025)
## ───────────────────────────────────────────────────────────────────
## AIC 3601.462 3956.588 3596.324
## BIC 3621.507 3976.633 3621.380
## Num. obs. 1109 1109 1109
## Num. groups: pid 334 334 334
## Var: pid (Intercept) 0.457 1.161 0.444
## Var: Residual 1.154 1.370 1.146
## ───────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0)
## Effect Type : Simple Mediation (Model 4)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Running 5000 simulations...
## Indirect Path: "status" (X) ==> "futstatus" (M) ==> "voice.prom" (Y)
## ─────────────────────────────────────────────────────────────
## Effect S.E. z p [MCMC 95% CI]
## ─────────────────────────────────────────────────────────────
## Indirect (ab) 0.024 (0.007) 3.390 <.001 *** [0.011, 0.039]
## Direct (c') 0.597 (0.024) 25.328 <.001 *** [0.550, 0.642]
## Total (c) 0.621 (0.023) 27.045 <.001 *** [0.575, 0.666]
## ─────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Binary Status
DV: Voice
Meds - Task + Status
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 4 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Parallel Multiple Mediation (2 meds)
## - Outcome (Y) : voice
## - Predictor (X) : highlowstat (recoded: High=0, Low=1)
## - Mediators (M) : futtask, futstatus
## - Moderators (W) : -
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futtask ~ highlowstat + (1 | pid)
## - futstatus ~ highlowstat + (1 | pid)
## Formula of Outcome:
## - voice ~ highlowstat + futtask + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ─────────────────────────────────────────────────────────────────────────────
## (1) voice (2) futtask (3) futstatus (4) voice
## ─────────────────────────────────────────────────────────────────────────────
## (Intercept) 4.959 *** 2.850 *** 3.036 *** 4.958 ***
## (0.054) (0.065) (0.070) (0.052)
## highlowstat -1.639 *** 0.895 *** 0.687 *** -1.435 ***
## (0.083) (0.099) (0.094) (0.083)
## futtask -0.185 ***
## (0.032)
## futstatus -0.060
## (0.033)
## ─────────────────────────────────────────────────────────────────────────────
## AIC 3693.903 4086.498 3997.362 3624.482
## BIC 3713.948 4106.543 4017.407 3654.549
## Num. obs. 1109 1109 1109 1109
## Num. groups: pid 334 334 334 334
## Var: pid (Intercept) 0.616 0.892 1.188 0.561
## Var: Residual 1.200 1.705 1.431 1.120
## ─────────────────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0)
## Effect Type : Parallel Multiple Mediation (2 meds) (Model 4)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Running 5000 simulations...
## Indirect Path: "highlowstat" (X) ==> "futtask" (M) ==> "voice" (Y)
## ────────────────────────────────────────────────────────────────
## Effect S.E. z p [MCMC 95% CI]
## ────────────────────────────────────────────────────────────────
## Indirect (ab) -0.166 (0.034) -4.895 <.001 *** [-0.235, -0.103]
## Direct (c') -1.436 (0.083) -17.361 <.001 *** [-1.598, -1.271]
## ────────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Running 5000 simulations...
## Indirect Path: "highlowstat" (X) ==> "futstatus" (M) ==> "voice" (Y)
## ────────────────────────────────────────────────────────────────
## Effect S.E. z p [MCMC 95% CI]
## ────────────────────────────────────────────────────────────────
## Indirect (ab) -0.041 (0.023) -1.774 .076 . [-0.089, 0.002]
## Direct (c') -1.436 (0.083) -17.361 <.001 *** [-1.598, -1.271]
## ────────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Meds - Status
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 4 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Simple Mediation
## - Outcome (Y) : voice
## - Predictor (X) : highlowstat (recoded: High=0, Low=1)
## - Mediators (M) : futstatus
## - Moderators (W) : -
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futstatus ~ highlowstat + (1 | pid)
## Formula of Outcome:
## - voice ~ highlowstat + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ───────────────────────────────────────────────────────────────
## (1) voice (2) futstatus (3) voice
## ───────────────────────────────────────────────────────────────
## (Intercept) 4.959 *** 3.036 *** 4.958 ***
## (0.054) (0.070) (0.053)
## highlowstat -1.639 *** 0.687 *** -1.519 ***
## (0.083) (0.094) (0.083)
## futstatus -0.182 ***
## (0.025)
## ───────────────────────────────────────────────────────────────
## AIC 3693.903 3997.362 3651.390
## BIC 3713.948 4017.407 3676.446
## Num. obs. 1109 1109 1109
## Num. groups: pid 334 334 334
## Var: pid (Intercept) 0.616 1.188 0.579
## Var: Residual 1.200 1.431 1.153
## ───────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0)
## Effect Type : Simple Mediation (Model 4)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Running 5000 simulations...
## Indirect Path: "highlowstat" (X) ==> "futstatus" (M) ==> "voice" (Y)
## ────────────────────────────────────────────────────────────────
## Effect S.E. z p [MCMC 95% CI]
## ────────────────────────────────────────────────────────────────
## Indirect (ab) -0.125 (0.025) -5.078 <.001 *** [-0.175, -0.081]
## Direct (c') -1.518 (0.082) -18.433 <.001 *** [-1.679, -1.356]
## Total (c) -1.644 (0.082) -20.112 <.001 *** [-1.803, -1.483]
## ────────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Meds - Task
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 4 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Simple Mediation
## - Outcome (Y) : voice
## - Predictor (X) : highlowstat (recoded: High=0, Low=1)
## - Mediators (M) : futstatus
## - Moderators (W) : -
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futstatus ~ highlowstat + (1 | pid)
## Formula of Outcome:
## - voice ~ highlowstat + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ───────────────────────────────────────────────────────────────
## (1) voice (2) futstatus (3) voice
## ───────────────────────────────────────────────────────────────
## (Intercept) 4.959 *** 3.036 *** 4.958 ***
## (0.054) (0.070) (0.053)
## highlowstat -1.639 *** 0.687 *** -1.519 ***
## (0.083) (0.094) (0.083)
## futstatus -0.182 ***
## (0.025)
## ───────────────────────────────────────────────────────────────
## AIC 3693.903 3997.362 3651.390
## BIC 3713.948 4017.407 3676.446
## Num. obs. 1109 1109 1109
## Num. groups: pid 334 334 334
## Var: pid (Intercept) 0.616 1.188 0.579
## Var: Residual 1.200 1.431 1.153
## ───────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0)
## Effect Type : Simple Mediation (Model 4)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Running 5000 simulations...
## Indirect Path: "highlowstat" (X) ==> "futstatus" (M) ==> "voice" (Y)
## ────────────────────────────────────────────────────────────────
## Effect S.E. z p [MCMC 95% CI]
## ────────────────────────────────────────────────────────────────
## Indirect (ab) -0.125 (0.025) -5.078 <.001 *** [-0.175, -0.081]
## Direct (c') -1.518 (0.082) -18.433 <.001 *** [-1.679, -1.356]
## Total (c) -1.644 (0.082) -20.112 <.001 *** [-1.803, -1.483]
## ────────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)DV: Prohibitive Voice
Meds - Task + Status
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 4 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Parallel Multiple Mediation (2 meds)
## - Outcome (Y) : voice.proh
## - Predictor (X) : highlowstat (recoded: High=0, Low=1)
## - Mediators (M) : futtask, futstatus
## - Moderators (W) : -
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futtask ~ highlowstat + (1 | pid)
## - futstatus ~ highlowstat + (1 | pid)
## Formula of Outcome:
## - voice.proh ~ highlowstat + futtask + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ─────────────────────────────────────────────────────────────────────────────────
## (1) voice.proh (2) futtask (3) futstatus (4) voice.proh
## ─────────────────────────────────────────────────────────────────────────────────
## (Intercept) 4.473 *** 2.850 *** 3.036 *** 4.472 ***
## (0.071) (0.065) (0.070) (0.071)
## highlowstat -1.483 *** 0.895 *** 0.687 *** -1.364 ***
## (0.095) (0.099) (0.094) (0.098)
## futtask -0.119 **
## (0.037)
## futstatus -0.016
## (0.039)
## ─────────────────────────────────────────────────────────────────────────────────
## AIC 4022.576 4086.498 3997.362 4016.495
## BIC 4042.620 4106.543 4017.407 4046.563
## Num. obs. 1109 1109 1109 1109
## Num. groups: pid 334 334 334 334
## Var: pid (Intercept) 1.251 0.892 1.188 1.226
## Var: Residual 1.452 1.705 1.431 1.430
## ─────────────────────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0)
## Effect Type : Parallel Multiple Mediation (2 meds) (Model 4)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Running 5000 simulations...
## Indirect Path: "highlowstat" (X) ==> "futtask" (M) ==> "voice.proh" (Y)
## ────────────────────────────────────────────────────────────────
## Effect S.E. z p [MCMC 95% CI]
## ────────────────────────────────────────────────────────────────
## Indirect (ab) -0.106 (0.035) -3.025 .002 ** [-0.177, -0.041]
## Direct (c') -1.366 (0.098) -13.982 <.001 *** [-1.557, -1.171]
## ────────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Running 5000 simulations...
## Indirect Path: "highlowstat" (X) ==> "futstatus" (M) ==> "voice.proh" (Y)
## ────────────────────────────────────────────────────────────────
## Effect S.E. z p [MCMC 95% CI]
## ────────────────────────────────────────────────────────────────
## Indirect (ab) -0.011 (0.027) -0.424 .672 [-0.064, 0.041]
## Direct (c') -1.366 (0.098) -13.982 <.001 *** [-1.557, -1.171]
## ────────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Meds - Status
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 4 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Simple Mediation
## - Outcome (Y) : voice.proh
## - Predictor (X) : highlowstat (recoded: High=0, Low=1)
## - Mediators (M) : futstatus
## - Moderators (W) : -
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futstatus ~ highlowstat + (1 | pid)
## Formula of Outcome:
## - voice.proh ~ highlowstat + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ───────────────────────────────────────────────────────────────────
## (1) voice.proh (2) futstatus (3) voice.proh
## ───────────────────────────────────────────────────────────────────
## (Intercept) 4.473 *** 3.036 *** 4.473 ***
## (0.071) (0.070) (0.071)
## highlowstat -1.483 *** 0.687 *** -1.418 ***
## (0.095) (0.094) (0.097)
## futstatus -0.094 **
## (0.030)
## ───────────────────────────────────────────────────────────────────
## AIC 4022.576 3997.362 4020.157
## BIC 4042.620 4017.407 4045.213
## Num. obs. 1109 1109 1109
## Num. groups: pid 334 334 334
## Var: pid (Intercept) 1.251 1.188 1.236
## Var: Residual 1.452 1.431 1.443
## ───────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0)
## Effect Type : Simple Mediation (Model 4)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Running 5000 simulations...
## Indirect Path: "highlowstat" (X) ==> "futstatus" (M) ==> "voice.proh" (Y)
## ────────────────────────────────────────────────────────────────
## Effect S.E. z p [MCMC 95% CI]
## ────────────────────────────────────────────────────────────────
## Indirect (ab) -0.065 (0.023) -2.839 .005 ** [-0.112, -0.024]
## Direct (c') -1.418 (0.096) -14.725 <.001 *** [-1.605, -1.228]
## Total (c) -1.483 (0.094) -15.813 <.001 *** [-1.665, -1.299]
## ────────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Meds - Task
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 4 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Simple Mediation
## - Outcome (Y) : voice.proh
## - Predictor (X) : highlowstat (recoded: High=0, Low=1)
## - Mediators (M) : futstatus
## - Moderators (W) : -
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futstatus ~ highlowstat + (1 | pid)
## Formula of Outcome:
## - voice.proh ~ highlowstat + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ───────────────────────────────────────────────────────────────────
## (1) voice.proh (2) futstatus (3) voice.proh
## ───────────────────────────────────────────────────────────────────
## (Intercept) 4.473 *** 3.036 *** 4.473 ***
## (0.071) (0.070) (0.071)
## highlowstat -1.483 *** 0.687 *** -1.418 ***
## (0.095) (0.094) (0.097)
## futstatus -0.094 **
## (0.030)
## ───────────────────────────────────────────────────────────────────
## AIC 4022.576 3997.362 4020.157
## BIC 4042.620 4017.407 4045.213
## Num. obs. 1109 1109 1109
## Num. groups: pid 334 334 334
## Var: pid (Intercept) 1.251 1.188 1.236
## Var: Residual 1.452 1.431 1.443
## ───────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0)
## Effect Type : Simple Mediation (Model 4)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Running 5000 simulations...
## Indirect Path: "highlowstat" (X) ==> "futstatus" (M) ==> "voice.proh" (Y)
## ────────────────────────────────────────────────────────────────
## Effect S.E. z p [MCMC 95% CI]
## ────────────────────────────────────────────────────────────────
## Indirect (ab) -0.065 (0.023) -2.839 .005 ** [-0.112, -0.024]
## Direct (c') -1.418 (0.096) -14.725 <.001 *** [-1.605, -1.228]
## Total (c) -1.483 (0.094) -15.813 <.001 *** [-1.665, -1.299]
## ────────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)DV: Promotive voice
Meds - Task + Status
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 4 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Parallel Multiple Mediation (2 meds)
## - Outcome (Y) : voice.prom
## - Predictor (X) : highlowstat (recoded: High=0, Low=1)
## - Mediators (M) : futtask, futstatus
## - Moderators (W) : -
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futtask ~ highlowstat + (1 | pid)
## - futstatus ~ highlowstat + (1 | pid)
## Formula of Outcome:
## - voice.prom ~ highlowstat + futtask + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ─────────────────────────────────────────────────────────────────────────────────
## (1) voice.prom (2) futtask (3) futstatus (4) voice.prom
## ─────────────────────────────────────────────────────────────────────────────────
## (Intercept) 4.914 *** 2.850 *** 3.036 *** 4.912 ***
## (0.056) (0.065) (0.070) (0.054)
## highlowstat -1.572 *** 0.895 *** 0.687 *** -1.366 ***
## (0.090) (0.099) (0.094) (0.091)
## futtask -0.212 ***
## (0.035)
## futstatus -0.031
## (0.036)
## ─────────────────────────────────────────────────────────────────────────────────
## AIC 3884.038 4086.498 3997.362 3823.985
## BIC 3904.083 4106.543 4017.407 3854.052
## Num. obs. 1109 1109 1109 1109
## Num. groups: pid 334 334 334 334
## Var: pid (Intercept) 0.609 0.892 1.188 0.552
## Var: Residual 1.484 1.705 1.431 1.400
## ─────────────────────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0)
## Effect Type : Parallel Multiple Mediation (2 meds) (Model 4)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Running 5000 simulations...
## Indirect Path: "highlowstat" (X) ==> "futtask" (M) ==> "voice.prom" (Y)
## ────────────────────────────────────────────────────────────────
## Effect S.E. z p [MCMC 95% CI]
## ────────────────────────────────────────────────────────────────
## Indirect (ab) -0.189 (0.038) -5.025 <.001 *** [-0.267, -0.120]
## Direct (c') -1.367 (0.091) -15.086 <.001 *** [-1.545, -1.186]
## ────────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Running 5000 simulations...
## Indirect Path: "highlowstat" (X) ==> "futstatus" (M) ==> "voice.prom" (Y)
## ────────────────────────────────────────────────────────────────
## Effect S.E. z p [MCMC 95% CI]
## ────────────────────────────────────────────────────────────────
## Indirect (ab) -0.021 (0.025) -0.858 .391 [-0.072, 0.027]
## Direct (c') -1.367 (0.091) -15.086 <.001 *** [-1.545, -1.186]
## ────────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Meds - Status
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 4 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Simple Mediation
## - Outcome (Y) : voice.prom
## - Predictor (X) : highlowstat (recoded: High=0, Low=1)
## - Mediators (M) : futstatus
## - Moderators (W) : -
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futstatus ~ highlowstat + (1 | pid)
## Formula of Outcome:
## - voice.prom ~ highlowstat + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ───────────────────────────────────────────────────────────────────
## (1) voice.prom (2) futstatus (3) voice.prom
## ───────────────────────────────────────────────────────────────────
## (Intercept) 4.914 *** 3.036 *** 4.913 ***
## (0.056) (0.070) (0.055)
## highlowstat -1.572 *** 0.687 *** -1.460 ***
## (0.090) (0.094) (0.091)
## futstatus -0.172 ***
## (0.028)
## ───────────────────────────────────────────────────────────────────
## AIC 3884.038 3997.362 3853.677
## BIC 3904.083 4017.407 3878.733
## Num. obs. 1109 1109 1109
## Num. groups: pid 334 334 334
## Var: pid (Intercept) 0.609 1.188 0.580
## Var: Residual 1.484 1.431 1.440
## ───────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0)
## Effect Type : Simple Mediation (Model 4)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Running 5000 simulations...
## Indirect Path: "highlowstat" (X) ==> "futstatus" (M) ==> "voice.prom" (Y)
## ────────────────────────────────────────────────────────────────
## Effect S.E. z p [MCMC 95% CI]
## ────────────────────────────────────────────────────────────────
## Indirect (ab) -0.118 (0.025) -4.693 <.001 *** [-0.170, -0.073]
## Direct (c') -1.460 (0.090) -16.163 <.001 *** [-1.636, -1.281]
## Total (c) -1.578 (0.089) -17.688 <.001 *** [-1.751, -1.403]
## ────────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Meds - Task
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 4 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Simple Mediation
## - Outcome (Y) : voice.prom
## - Predictor (X) : highlowstat (recoded: High=0, Low=1)
## - Mediators (M) : futstatus
## - Moderators (W) : -
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futstatus ~ highlowstat + (1 | pid)
## Formula of Outcome:
## - voice.prom ~ highlowstat + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ───────────────────────────────────────────────────────────────────
## (1) voice.prom (2) futstatus (3) voice.prom
## ───────────────────────────────────────────────────────────────────
## (Intercept) 4.914 *** 3.036 *** 4.913 ***
## (0.056) (0.070) (0.055)
## highlowstat -1.572 *** 0.687 *** -1.460 ***
## (0.090) (0.094) (0.091)
## futstatus -0.172 ***
## (0.028)
## ───────────────────────────────────────────────────────────────────
## AIC 3884.038 3997.362 3853.677
## BIC 3904.083 4017.407 3878.733
## Num. obs. 1109 1109 1109
## Num. groups: pid 334 334 334
## Var: pid (Intercept) 0.609 1.188 0.580
## Var: Residual 1.484 1.431 1.440
## ───────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0)
## Effect Type : Simple Mediation (Model 4)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Running 5000 simulations...
## Indirect Path: "highlowstat" (X) ==> "futstatus" (M) ==> "voice.prom" (Y)
## ────────────────────────────────────────────────────────────────
## Effect S.E. z p [MCMC 95% CI]
## ────────────────────────────────────────────────────────────────
## Indirect (ab) -0.118 (0.025) -4.693 <.001 *** [-0.170, -0.073]
## Direct (c') -1.460 (0.090) -16.163 <.001 *** [-1.636, -1.281]
## Total (c) -1.578 (0.089) -17.688 <.001 *** [-1.751, -1.403]
## ────────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Moderated Mediation
Continuous Status
DV: Voice
Meds - Task + Status
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 7 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Parallel Multiple Moderated Mediation (2 meds)
## - Outcome (Y) : voice
## - Predictor (X) : status
## - Mediators (M) : futtask, futstatus
## - Moderators (W) : hiermut
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futtask ~ status*hiermut + (1 | pid)
## - futstatus ~ status*hiermut + (1 | pid)
## Formula of Outcome:
## - voice ~ status + hiermut + futtask + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ─────────────────────────────────────────────────────────────────────────────
## (1) voice (2) futtask (3) futstatus (4) voice
## ─────────────────────────────────────────────────────────────────────────────
## (Intercept) 4.959 *** 2.822 *** 2.995 *** 4.959 ***
## (0.048) (0.064) (0.070) (0.047)
## status 0.610 *** -0.266 *** -0.165 *** 0.521 ***
## (0.021) (0.031) (0.031) (0.024)
## hiermut -0.242 *** -0.225 *** 0.132 ***
## (0.035) (0.034) (0.028)
## status:hiermut 0.024 0.036 *
## (0.016) (0.015)
## futtask -0.076 **
## (0.029)
## futstatus -0.038
## (0.029)
## ─────────────────────────────────────────────────────────────────────────────
## AIC 3423.518 3967.691 3923.921 3392.331
## BIC 3443.563 3997.759 3953.988 3427.409
## Num. obs. 1109 1109 1109 1109
## Num. groups: pid 334 334 334 334
## Var: pid (Intercept) 0.480 0.785 1.119 0.453
## Var: Residual 0.939 1.512 1.312 0.900
## ─────────────────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0), ‘interactions’ (v1.2.0)
## Effect Type : Parallel Multiple Moderated Mediation (2 meds) (Model 7)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Direct Effect: "status" (X) ==> "voice" (Y)## ───────────────────────────────────────────────────────────
## Effect S.E. t p [95% CI]
## ───────────────────────────────────────────────────────────
## Direct (c') 0.521 (0.024) 21.519 <.001 *** [0.474, 0.568]
## ───────────────────────────────────────────────────────────
##
## Interaction Effect on "futtask" (M)
## ─────────────────────────────────────────
## F df1 df2 p
## ─────────────────────────────────────────
## status * hiermut 2.24 1 1098 .135
## ─────────────────────────────────────────
##
## Simple Slopes: "status" (X) ==> "futtask" (M)
## (Conditional Effects [a] of X on M)
## ──────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. t p [95% CI]
## ──────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.302 (0.034) -8.851 <.001 *** [-0.369, -0.235]
## 4.270 (Mean) -0.266 (0.031) -8.480 <.001 *** [-0.328, -0.205]
## 5.764 (+ SD) -0.231 (0.044) -5.245 <.001 *** [-0.317, -0.145]
## ──────────────────────────────────────────────────────────────
##
## Running 5000 * 3 simulations...
## Indirect Path: "status" (X) ==> "futtask" (M) ==> "voice" (Y)
## (Conditional Indirect Effects [ab] of X through M on Y)
## ───────────────────────────────────────────────────────────
## "hiermut" Effect S.E. z p [MCMC 95% CI]
## ───────────────────────────────────────────────────────────
## 2.776 (- SD) 0.023 (0.009) 2.441 .015 * [0.005, 0.042]
## 4.270 (Mean) 0.020 (0.008) 2.433 .015 * [0.004, 0.037]
## 5.764 (+ SD) 0.017 (0.008) 2.265 .024 * [0.004, 0.033]
## ───────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Interaction Effect on "futstatus" (M)
## ─────────────────────────────────────────
## F df1 df2 p
## ─────────────────────────────────────────
## status * hiermut 5.42 1 1061 .020 *
## ─────────────────────────────────────────
##
## Simple Slopes: "status" (X) ==> "futstatus" (M)
## (Conditional Effects [a] of X on M)
## ──────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. t p [95% CI]
## ──────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.219 (0.033) -6.600 <.001 *** [-0.284, -0.154]
## 4.270 (Mean) -0.165 (0.031) -5.366 <.001 *** [-0.225, -0.105]
## 5.764 (+ SD) -0.111 (0.043) -2.588 .010 ** [-0.196, -0.027]
## ──────────────────────────────────────────────────────────────
##
## Running 5000 * 3 simulations...
## Indirect Path: "status" (X) ==> "futstatus" (M) ==> "voice" (Y)
## (Conditional Indirect Effects [ab] of X through M on Y)
## ────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. z p [MCMC 95% CI]
## ────────────────────────────────────────────────────────────
## 2.776 (- SD) 0.008 (0.007) 1.266 .206 [-0.004, 0.023]
## 4.270 (Mean) 0.006 (0.005) 1.243 .214 [-0.003, 0.018]
## 5.764 (+ SD) 0.004 (0.004) 1.091 .275 [-0.002, 0.013]
## ────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Meds - Status
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 7 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Moderated Mediation
## - Outcome (Y) : voice
## - Predictor (X) : status
## - Mediators (M) : futstatus
## - Moderators (W) : hiermut
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futstatus ~ status*hiermut + (1 | pid)
## Formula of Outcome:
## - voice ~ status + hiermut + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ───────────────────────────────────────────────────────────────
## (1) voice (2) futstatus (3) voice
## ───────────────────────────────────────────────────────────────
## (Intercept) 4.959 *** 2.995 *** 4.960 ***
## (0.048) (0.070) (0.047)
## status 0.610 *** -0.165 *** 0.534 ***
## (0.021) (0.031) (0.024)
## hiermut -0.225 *** 0.139 ***
## (0.034) (0.027)
## status:hiermut 0.036 *
## (0.015)
## futstatus -0.085 ***
## (0.023)
## ───────────────────────────────────────────────────────────────
## AIC 3423.518 3923.921 3391.845
## BIC 3443.563 3953.988 3421.912
## Num. obs. 1109 1109 1109
## Num. groups: pid 334 334 334
## Var: pid (Intercept) 0.480 1.119 0.454
## Var: Residual 0.939 1.312 0.905
## ───────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0), ‘interactions’ (v1.2.0)
## Effect Type : Moderated Mediation (Model 7)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Direct Effect: "status" (X) ==> "voice" (Y)## ───────────────────────────────────────────────────────────
## Effect S.E. t p [95% CI]
## ───────────────────────────────────────────────────────────
## Direct (c') 0.534 (0.024) 22.462 <.001 *** [0.487, 0.580]
## ───────────────────────────────────────────────────────────
##
## Interaction Effect on "futstatus" (M)
## ─────────────────────────────────────────
## F df1 df2 p
## ─────────────────────────────────────────
## status * hiermut 5.42 1 1061 .020 *
## ─────────────────────────────────────────
##
## Simple Slopes: "status" (X) ==> "futstatus" (M)
## (Conditional Effects [a] of X on M)
## ──────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. t p [95% CI]
## ──────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.219 (0.033) -6.600 <.001 *** [-0.284, -0.154]
## 4.270 (Mean) -0.165 (0.031) -5.366 <.001 *** [-0.225, -0.105]
## 5.764 (+ SD) -0.111 (0.043) -2.588 .010 ** [-0.196, -0.027]
## ──────────────────────────────────────────────────────────────
##
## Running 5000 * 3 simulations...
## Indirect Path: "status" (X) ==> "futstatus" (M) ==> "voice" (Y)
## (Conditional Indirect Effects [ab] of X through M on Y)
## ───────────────────────────────────────────────────────────
## "hiermut" Effect S.E. z p [MCMC 95% CI]
## ───────────────────────────────────────────────────────────
## 2.776 (- SD) 0.018 (0.006) 3.152 .002 ** [0.008, 0.031]
## 4.270 (Mean) 0.014 (0.005) 2.969 .003 ** [0.006, 0.024]
## 5.764 (+ SD) 0.009 (0.005) 2.041 .041 * [0.002, 0.019]
## ───────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Meds - Task
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 7 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Moderated Mediation
## - Outcome (Y) : voice
## - Predictor (X) : status
## - Mediators (M) : futstatus
## - Moderators (W) : hiermut
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futstatus ~ status*hiermut + (1 | pid)
## Formula of Outcome:
## - voice ~ status + hiermut + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ───────────────────────────────────────────────────────────────
## (1) voice (2) futstatus (3) voice
## ───────────────────────────────────────────────────────────────
## (Intercept) 4.959 *** 2.995 *** 4.960 ***
## (0.048) (0.070) (0.047)
## status 0.610 *** -0.165 *** 0.534 ***
## (0.021) (0.031) (0.024)
## hiermut -0.225 *** 0.139 ***
## (0.034) (0.027)
## status:hiermut 0.036 *
## (0.015)
## futstatus -0.085 ***
## (0.023)
## ───────────────────────────────────────────────────────────────
## AIC 3423.518 3923.921 3391.845
## BIC 3443.563 3953.988 3421.912
## Num. obs. 1109 1109 1109
## Num. groups: pid 334 334 334
## Var: pid (Intercept) 0.480 1.119 0.454
## Var: Residual 0.939 1.312 0.905
## ───────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0), ‘interactions’ (v1.2.0)
## Effect Type : Moderated Mediation (Model 7)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Direct Effect: "status" (X) ==> "voice" (Y)## ───────────────────────────────────────────────────────────
## Effect S.E. t p [95% CI]
## ───────────────────────────────────────────────────────────
## Direct (c') 0.534 (0.024) 22.462 <.001 *** [0.487, 0.580]
## ───────────────────────────────────────────────────────────
##
## Interaction Effect on "futstatus" (M)
## ─────────────────────────────────────────
## F df1 df2 p
## ─────────────────────────────────────────
## status * hiermut 5.42 1 1061 .020 *
## ─────────────────────────────────────────
##
## Simple Slopes: "status" (X) ==> "futstatus" (M)
## (Conditional Effects [a] of X on M)
## ──────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. t p [95% CI]
## ──────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.219 (0.033) -6.600 <.001 *** [-0.284, -0.154]
## 4.270 (Mean) -0.165 (0.031) -5.366 <.001 *** [-0.225, -0.105]
## 5.764 (+ SD) -0.111 (0.043) -2.588 .010 ** [-0.196, -0.027]
## ──────────────────────────────────────────────────────────────
##
## Running 5000 * 3 simulations...
## Indirect Path: "status" (X) ==> "futstatus" (M) ==> "voice" (Y)
## (Conditional Indirect Effects [ab] of X through M on Y)
## ───────────────────────────────────────────────────────────
## "hiermut" Effect S.E. z p [MCMC 95% CI]
## ───────────────────────────────────────────────────────────
## 2.776 (- SD) 0.018 (0.006) 3.152 .002 ** [0.008, 0.031]
## 4.270 (Mean) 0.014 (0.005) 2.969 .003 ** [0.006, 0.024]
## 5.764 (+ SD) 0.009 (0.005) 2.041 .041 * [0.002, 0.019]
## ───────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)DV: Prohibitive Voice
Meds - Task + Status
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 7 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Parallel Multiple Moderated Mediation (2 meds)
## - Outcome (Y) : voice.proh
## - Predictor (X) : status
## - Mediators (M) : futtask, futstatus
## - Moderators (W) : hiermut
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futtask ~ status*hiermut + (1 | pid)
## - futstatus ~ status*hiermut + (1 | pid)
## Formula of Outcome:
## - voice.proh ~ status + hiermut + futtask + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ─────────────────────────────────────────────────────────────────────────────────
## (1) voice.proh (2) futtask (3) futstatus (4) voice.proh
## ─────────────────────────────────────────────────────────────────────────────────
## (Intercept) 4.473 *** 2.822 *** 2.995 *** 4.475 ***
## (0.066) (0.064) (0.070) (0.064)
## status 0.564 *** -0.266 *** -0.165 *** 0.489 ***
## (0.026) (0.031) (0.031) (0.030)
## hiermut -0.242 *** -0.225 *** 0.205 ***
## (0.035) (0.034) (0.034)
## status:hiermut 0.024 0.036 *
## (0.016) (0.015)
## futtask -0.003
## (0.035)
## futstatus 0.017
## (0.036)
## ─────────────────────────────────────────────────────────────────────────────────
## AIC 3849.458 3967.691 3923.921 3833.597
## BIC 3869.503 3997.759 3953.988 3868.676
## Num. obs. 1109 1109 1109 1109
## Num. groups: pid 334 334 334 334
## Var: pid (Intercept) 1.092 0.785 1.119 1.008
## Var: Residual 1.231 1.512 1.312 1.211
## ─────────────────────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0), ‘interactions’ (v1.2.0)
## Effect Type : Parallel Multiple Moderated Mediation (2 meds) (Model 7)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Direct Effect: "status" (X) ==> "voice.proh" (Y)## ───────────────────────────────────────────────────────────
## Effect S.E. t p [95% CI]
## ───────────────────────────────────────────────────────────
## Direct (c') 0.489 (0.030) 16.584 <.001 *** [0.432, 0.547]
## ───────────────────────────────────────────────────────────
##
## Interaction Effect on "futtask" (M)
## ─────────────────────────────────────────
## F df1 df2 p
## ─────────────────────────────────────────
## status * hiermut 2.24 1 1098 .135
## ─────────────────────────────────────────
##
## Simple Slopes: "status" (X) ==> "futtask" (M)
## (Conditional Effects [a] of X on M)
## ──────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. t p [95% CI]
## ──────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.302 (0.034) -8.851 <.001 *** [-0.369, -0.235]
## 4.270 (Mean) -0.266 (0.031) -8.480 <.001 *** [-0.328, -0.205]
## 5.764 (+ SD) -0.231 (0.044) -5.245 <.001 *** [-0.317, -0.145]
## ──────────────────────────────────────────────────────────────
##
## Running 5000 * 3 simulations...
## Indirect Path: "status" (X) ==> "futtask" (M) ==> "voice.proh" (Y)
## (Conditional Indirect Effects [ab] of X through M on Y)
## ────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. z p [MCMC 95% CI]
## ────────────────────────────────────────────────────────────
## 2.776 (- SD) 0.001 (0.011) 0.071 .944 [-0.021, 0.022]
## 4.270 (Mean) 0.001 (0.009) 0.069 .945 [-0.018, 0.019]
## 5.764 (+ SD) 0.001 (0.008) 0.067 .947 [-0.016, 0.017]
## ────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Interaction Effect on "futstatus" (M)
## ─────────────────────────────────────────
## F df1 df2 p
## ─────────────────────────────────────────
## status * hiermut 5.42 1 1061 .020 *
## ─────────────────────────────────────────
##
## Simple Slopes: "status" (X) ==> "futstatus" (M)
## (Conditional Effects [a] of X on M)
## ──────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. t p [95% CI]
## ──────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.219 (0.033) -6.600 <.001 *** [-0.284, -0.154]
## 4.270 (Mean) -0.165 (0.031) -5.366 <.001 *** [-0.225, -0.105]
## 5.764 (+ SD) -0.111 (0.043) -2.588 .010 ** [-0.196, -0.027]
## ──────────────────────────────────────────────────────────────
##
## Running 5000 * 3 simulations...
## Indirect Path: "status" (X) ==> "futstatus" (M) ==> "voice.proh" (Y)
## (Conditional Indirect Effects [ab] of X through M on Y)
## ─────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. z p [MCMC 95% CI]
## ─────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.004 (0.008) -0.468 .640 [-0.019, 0.012]
## 4.270 (Mean) -0.003 (0.006) -0.463 .643 [-0.015, 0.009]
## 5.764 (+ SD) -0.002 (0.004) -0.431 .666 [-0.011, 0.007]
## ─────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Meds - Status
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 7 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Moderated Mediation
## - Outcome (Y) : voice.proh
## - Predictor (X) : status
## - Mediators (M) : futstatus
## - Moderators (W) : hiermut
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futstatus ~ status*hiermut + (1 | pid)
## Formula of Outcome:
## - voice.proh ~ status + hiermut + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ───────────────────────────────────────────────────────────────────
## (1) voice.proh (2) futstatus (3) voice.proh
## ───────────────────────────────────────────────────────────────────
## (Intercept) 4.473 *** 2.995 *** 4.475 ***
## (0.066) (0.070) (0.064)
## status 0.564 *** -0.165 *** 0.490 ***
## (0.026) (0.031) (0.029)
## hiermut -0.225 *** 0.205 ***
## (0.034) (0.034)
## status:hiermut 0.036 *
## (0.015)
## futstatus 0.015
## (0.029)
## ───────────────────────────────────────────────────────────────────
## AIC 3849.458 3923.921 3826.722
## BIC 3869.503 3953.988 3856.789
## Num. obs. 1109 1109 1109
## Num. groups: pid 334 334 334
## Var: pid (Intercept) 1.092 1.119 1.008
## Var: Residual 1.231 1.312 1.209
## ───────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0), ‘interactions’ (v1.2.0)
## Effect Type : Moderated Mediation (Model 7)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Direct Effect: "status" (X) ==> "voice.proh" (Y)## ───────────────────────────────────────────────────────────
## Effect S.E. t p [95% CI]
## ───────────────────────────────────────────────────────────
## Direct (c') 0.490 (0.029) 16.959 <.001 *** [0.433, 0.546]
## ───────────────────────────────────────────────────────────
##
## Interaction Effect on "futstatus" (M)
## ─────────────────────────────────────────
## F df1 df2 p
## ─────────────────────────────────────────
## status * hiermut 5.42 1 1061 .020 *
## ─────────────────────────────────────────
##
## Simple Slopes: "status" (X) ==> "futstatus" (M)
## (Conditional Effects [a] of X on M)
## ──────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. t p [95% CI]
## ──────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.219 (0.033) -6.600 <.001 *** [-0.284, -0.154]
## 4.270 (Mean) -0.165 (0.031) -5.366 <.001 *** [-0.225, -0.105]
## 5.764 (+ SD) -0.111 (0.043) -2.588 .010 ** [-0.196, -0.027]
## ──────────────────────────────────────────────────────────────
##
## Running 5000 * 3 simulations...
## Indirect Path: "status" (X) ==> "futstatus" (M) ==> "voice.proh" (Y)
## (Conditional Indirect Effects [ab] of X through M on Y)
## ─────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. z p [MCMC 95% CI]
## ─────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.003 (0.006) -0.535 .593 [-0.016, 0.009]
## 4.270 (Mean) -0.003 (0.005) -0.532 .595 [-0.013, 0.007]
## 5.764 (+ SD) -0.002 (0.004) -0.499 .618 [-0.009, 0.005]
## ─────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Meds - Task
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 7 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Moderated Mediation
## - Outcome (Y) : voice.proh
## - Predictor (X) : status
## - Mediators (M) : futstatus
## - Moderators (W) : hiermut
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futstatus ~ status*hiermut + (1 | pid)
## Formula of Outcome:
## - voice.proh ~ status + hiermut + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ───────────────────────────────────────────────────────────────────
## (1) voice.proh (2) futstatus (3) voice.proh
## ───────────────────────────────────────────────────────────────────
## (Intercept) 4.473 *** 2.995 *** 4.475 ***
## (0.066) (0.070) (0.064)
## status 0.564 *** -0.165 *** 0.490 ***
## (0.026) (0.031) (0.029)
## hiermut -0.225 *** 0.205 ***
## (0.034) (0.034)
## status:hiermut 0.036 *
## (0.015)
## futstatus 0.015
## (0.029)
## ───────────────────────────────────────────────────────────────────
## AIC 3849.458 3923.921 3826.722
## BIC 3869.503 3953.988 3856.789
## Num. obs. 1109 1109 1109
## Num. groups: pid 334 334 334
## Var: pid (Intercept) 1.092 1.119 1.008
## Var: Residual 1.231 1.312 1.209
## ───────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0), ‘interactions’ (v1.2.0)
## Effect Type : Moderated Mediation (Model 7)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Direct Effect: "status" (X) ==> "voice.proh" (Y)## ───────────────────────────────────────────────────────────
## Effect S.E. t p [95% CI]
## ───────────────────────────────────────────────────────────
## Direct (c') 0.490 (0.029) 16.959 <.001 *** [0.433, 0.546]
## ───────────────────────────────────────────────────────────
##
## Interaction Effect on "futstatus" (M)
## ─────────────────────────────────────────
## F df1 df2 p
## ─────────────────────────────────────────
## status * hiermut 5.42 1 1061 .020 *
## ─────────────────────────────────────────
##
## Simple Slopes: "status" (X) ==> "futstatus" (M)
## (Conditional Effects [a] of X on M)
## ──────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. t p [95% CI]
## ──────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.219 (0.033) -6.600 <.001 *** [-0.284, -0.154]
## 4.270 (Mean) -0.165 (0.031) -5.366 <.001 *** [-0.225, -0.105]
## 5.764 (+ SD) -0.111 (0.043) -2.588 .010 ** [-0.196, -0.027]
## ──────────────────────────────────────────────────────────────
##
## Running 5000 * 3 simulations...
## Indirect Path: "status" (X) ==> "futstatus" (M) ==> "voice.proh" (Y)
## (Conditional Indirect Effects [ab] of X through M on Y)
## ─────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. z p [MCMC 95% CI]
## ─────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.003 (0.006) -0.535 .593 [-0.016, 0.009]
## 4.270 (Mean) -0.003 (0.005) -0.532 .595 [-0.013, 0.007]
## 5.764 (+ SD) -0.002 (0.004) -0.499 .618 [-0.009, 0.005]
## ─────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)DV: Promotive voice
Meds - Task + Status
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 7 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Parallel Multiple Moderated Mediation (2 meds)
## - Outcome (Y) : voice.prom
## - Predictor (X) : status
## - Mediators (M) : futtask, futstatus
## - Moderators (W) : hiermut
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futtask ~ status*hiermut + (1 | pid)
## - futstatus ~ status*hiermut + (1 | pid)
## Formula of Outcome:
## - voice.prom ~ status + hiermut + futtask + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ─────────────────────────────────────────────────────────────────────────────────
## (1) voice.prom (2) futtask (3) futstatus (4) voice.prom
## ─────────────────────────────────────────────────────────────────────────────────
## (Intercept) 4.914 *** 2.822 *** 2.995 *** 4.914 ***
## (0.049) (0.064) (0.070) (0.048)
## status 0.620 *** -0.266 *** -0.165 *** 0.529 ***
## (0.023) (0.031) (0.031) (0.026)
## hiermut -0.242 *** -0.225 *** 0.144 ***
## (0.035) (0.034) (0.030)
## status:hiermut 0.024 0.036 *
## (0.016) (0.015)
## futtask -0.090 **
## (0.032)
## futstatus -0.009
## (0.032)
## ─────────────────────────────────────────────────────────────────────────────────
## AIC 3601.462 3967.691 3923.921 3576.279
## BIC 3621.507 3997.759 3953.988 3611.358
## Num. obs. 1109 1109 1109 1109
## Num. groups: pid 334 334 334 334
## Var: pid (Intercept) 0.457 0.785 1.119 0.431
## Var: Residual 1.154 1.512 1.312 1.113
## ─────────────────────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0), ‘interactions’ (v1.2.0)
## Effect Type : Parallel Multiple Moderated Mediation (2 meds) (Model 7)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Direct Effect: "status" (X) ==> "voice.prom" (Y)## ───────────────────────────────────────────────────────────
## Effect S.E. t p [95% CI]
## ───────────────────────────────────────────────────────────
## Direct (c') 0.529 (0.026) 20.180 <.001 *** [0.478, 0.581]
## ───────────────────────────────────────────────────────────
##
## Interaction Effect on "futtask" (M)
## ─────────────────────────────────────────
## F df1 df2 p
## ─────────────────────────────────────────
## status * hiermut 2.24 1 1098 .135
## ─────────────────────────────────────────
##
## Simple Slopes: "status" (X) ==> "futtask" (M)
## (Conditional Effects [a] of X on M)
## ──────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. t p [95% CI]
## ──────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.302 (0.034) -8.851 <.001 *** [-0.369, -0.235]
## 4.270 (Mean) -0.266 (0.031) -8.480 <.001 *** [-0.328, -0.205]
## 5.764 (+ SD) -0.231 (0.044) -5.245 <.001 *** [-0.317, -0.145]
## ──────────────────────────────────────────────────────────────
##
## Running 5000 * 3 simulations...
## Indirect Path: "status" (X) ==> "futtask" (M) ==> "voice.prom" (Y)
## (Conditional Indirect Effects [ab] of X through M on Y)
## ───────────────────────────────────────────────────────────
## "hiermut" Effect S.E. z p [MCMC 95% CI]
## ───────────────────────────────────────────────────────────
## 2.776 (- SD) 0.027 (0.010) 2.647 .008 ** [0.008, 0.048]
## 4.270 (Mean) 0.024 (0.009) 2.637 .008 ** [0.007, 0.043]
## 5.764 (+ SD) 0.021 (0.008) 2.432 .015 * [0.006, 0.039]
## ───────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Interaction Effect on "futstatus" (M)
## ─────────────────────────────────────────
## F df1 df2 p
## ─────────────────────────────────────────
## status * hiermut 5.42 1 1061 .020 *
## ─────────────────────────────────────────
##
## Simple Slopes: "status" (X) ==> "futstatus" (M)
## (Conditional Effects [a] of X on M)
## ──────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. t p [95% CI]
## ──────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.219 (0.033) -6.600 <.001 *** [-0.284, -0.154]
## 4.270 (Mean) -0.165 (0.031) -5.366 <.001 *** [-0.225, -0.105]
## 5.764 (+ SD) -0.111 (0.043) -2.588 .010 ** [-0.196, -0.027]
## ──────────────────────────────────────────────────────────────
##
## Running 5000 * 3 simulations...
## Indirect Path: "status" (X) ==> "futstatus" (M) ==> "voice.prom" (Y)
## (Conditional Indirect Effects [ab] of X through M on Y)
## ────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. z p [MCMC 95% CI]
## ────────────────────────────────────────────────────────────
## 2.776 (- SD) 0.002 (0.007) 0.282 .778 [-0.012, 0.017]
## 4.270 (Mean) 0.002 (0.005) 0.280 .780 [-0.009, 0.013]
## 5.764 (+ SD) 0.001 (0.004) 0.264 .792 [-0.006, 0.009]
## ────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Meds - Status
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 7 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Moderated Mediation
## - Outcome (Y) : voice.prom
## - Predictor (X) : status
## - Mediators (M) : futstatus
## - Moderators (W) : hiermut
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futstatus ~ status*hiermut + (1 | pid)
## Formula of Outcome:
## - voice.prom ~ status + hiermut + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ───────────────────────────────────────────────────────────────────
## (1) voice.prom (2) futstatus (3) voice.prom
## ───────────────────────────────────────────────────────────────────
## (Intercept) 4.914 *** 2.995 *** 4.914 ***
## (0.049) (0.070) (0.048)
## status 0.620 *** -0.165 *** 0.544 ***
## (0.023) (0.031) (0.026)
## hiermut -0.225 *** 0.153 ***
## (0.034) (0.030)
## status:hiermut 0.036 *
## (0.015)
## futstatus -0.065 *
## (0.025)
## ───────────────────────────────────────────────────────────────────
## AIC 3601.462 3923.921 3577.260
## BIC 3621.507 3953.988 3607.328
## Num. obs. 1109 1109 1109
## Num. groups: pid 334 334 334
## Var: pid (Intercept) 0.457 1.119 0.436
## Var: Residual 1.154 1.312 1.119
## ───────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0), ‘interactions’ (v1.2.0)
## Effect Type : Moderated Mediation (Model 7)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Direct Effect: "status" (X) ==> "voice.prom" (Y)## ───────────────────────────────────────────────────────────
## Effect S.E. t p [95% CI]
## ───────────────────────────────────────────────────────────
## Direct (c') 0.544 (0.026) 21.139 <.001 *** [0.494, 0.595]
## ───────────────────────────────────────────────────────────
##
## Interaction Effect on "futstatus" (M)
## ─────────────────────────────────────────
## F df1 df2 p
## ─────────────────────────────────────────
## status * hiermut 5.42 1 1061 .020 *
## ─────────────────────────────────────────
##
## Simple Slopes: "status" (X) ==> "futstatus" (M)
## (Conditional Effects [a] of X on M)
## ──────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. t p [95% CI]
## ──────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.219 (0.033) -6.600 <.001 *** [-0.284, -0.154]
## 4.270 (Mean) -0.165 (0.031) -5.366 <.001 *** [-0.225, -0.105]
## 5.764 (+ SD) -0.111 (0.043) -2.588 .010 ** [-0.196, -0.027]
## ──────────────────────────────────────────────────────────────
##
## Running 5000 * 3 simulations...
## Indirect Path: "status" (X) ==> "futstatus" (M) ==> "voice.prom" (Y)
## (Conditional Indirect Effects [ab] of X through M on Y)
## ───────────────────────────────────────────────────────────
## "hiermut" Effect S.E. z p [MCMC 95% CI]
## ───────────────────────────────────────────────────────────
## 2.776 (- SD) 0.014 (0.006) 2.354 .019 * [0.003, 0.027]
## 4.270 (Mean) 0.011 (0.005) 2.271 .023 * [0.002, 0.021]
## 5.764 (+ SD) 0.007 (0.004) 1.741 .082 . [0.001, 0.016]
## ───────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Meds - Task
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 7 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Moderated Mediation
## - Outcome (Y) : voice.prom
## - Predictor (X) : status
## - Mediators (M) : futstatus
## - Moderators (W) : hiermut
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futstatus ~ status*hiermut + (1 | pid)
## Formula of Outcome:
## - voice.prom ~ status + hiermut + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ───────────────────────────────────────────────────────────────────
## (1) voice.prom (2) futstatus (3) voice.prom
## ───────────────────────────────────────────────────────────────────
## (Intercept) 4.914 *** 2.995 *** 4.914 ***
## (0.049) (0.070) (0.048)
## status 0.620 *** -0.165 *** 0.544 ***
## (0.023) (0.031) (0.026)
## hiermut -0.225 *** 0.153 ***
## (0.034) (0.030)
## status:hiermut 0.036 *
## (0.015)
## futstatus -0.065 *
## (0.025)
## ───────────────────────────────────────────────────────────────────
## AIC 3601.462 3923.921 3577.260
## BIC 3621.507 3953.988 3607.328
## Num. obs. 1109 1109 1109
## Num. groups: pid 334 334 334
## Var: pid (Intercept) 0.457 1.119 0.436
## Var: Residual 1.154 1.312 1.119
## ───────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0), ‘interactions’ (v1.2.0)
## Effect Type : Moderated Mediation (Model 7)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Direct Effect: "status" (X) ==> "voice.prom" (Y)## ───────────────────────────────────────────────────────────
## Effect S.E. t p [95% CI]
## ───────────────────────────────────────────────────────────
## Direct (c') 0.544 (0.026) 21.139 <.001 *** [0.494, 0.595]
## ───────────────────────────────────────────────────────────
##
## Interaction Effect on "futstatus" (M)
## ─────────────────────────────────────────
## F df1 df2 p
## ─────────────────────────────────────────
## status * hiermut 5.42 1 1061 .020 *
## ─────────────────────────────────────────
##
## Simple Slopes: "status" (X) ==> "futstatus" (M)
## (Conditional Effects [a] of X on M)
## ──────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. t p [95% CI]
## ──────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.219 (0.033) -6.600 <.001 *** [-0.284, -0.154]
## 4.270 (Mean) -0.165 (0.031) -5.366 <.001 *** [-0.225, -0.105]
## 5.764 (+ SD) -0.111 (0.043) -2.588 .010 ** [-0.196, -0.027]
## ──────────────────────────────────────────────────────────────
##
## Running 5000 * 3 simulations...
## Indirect Path: "status" (X) ==> "futstatus" (M) ==> "voice.prom" (Y)
## (Conditional Indirect Effects [ab] of X through M on Y)
## ───────────────────────────────────────────────────────────
## "hiermut" Effect S.E. z p [MCMC 95% CI]
## ───────────────────────────────────────────────────────────
## 2.776 (- SD) 0.014 (0.006) 2.354 .019 * [0.003, 0.027]
## 4.270 (Mean) 0.011 (0.005) 2.271 .023 * [0.002, 0.021]
## 5.764 (+ SD) 0.007 (0.004) 1.741 .082 . [0.001, 0.016]
## ───────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Binary Status
DV: Voice
Meds - Task + Status
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 7 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Parallel Multiple Moderated Mediation (2 meds)
## - Outcome (Y) : voice
## - Predictor (X) : highlowstat (recoded: High=0, Low=1)
## - Mediators (M) : futtask, futstatus
## - Moderators (W) : hiermut
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futtask ~ highlowstat*hiermut + (1 | pid)
## - futstatus ~ highlowstat*hiermut + (1 | pid)
## Formula of Outcome:
## - voice ~ highlowstat + hiermut + futtask + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ─────────────────────────────────────────────────────────────────────────────
## (1) voice (2) futtask (3) futstatus (4) voice
## ─────────────────────────────────────────────────────────────────────────────
## (Intercept) 4.959 *** 2.829 *** 3.002 *** 4.959 ***
## (0.054) (0.064) (0.070) (0.051)
## highlowstat -1.639 *** 0.546 *** 0.374 *** -1.254 ***
## (0.083) (0.103) (0.098) (0.084)
## hiermut -0.316 *** -0.267 *** 0.225 ***
## (0.034) (0.033) (0.029)
## highlowstat:hiermut -0.079 -0.133 *
## (0.064) (0.061)
## futtask -0.147 ***
## (0.031)
## futstatus -0.038
## (0.032)
## ─────────────────────────────────────────────────────────────────────────────
## AIC 3693.903 4013.257 3939.243 3573.287
## BIC 3713.948 4043.324 3969.310 3608.365
## Num. obs. 1109 1109 1109 1109
## Num. groups: pid 334 334 334 334
## Var: pid (Intercept) 0.616 0.819 1.132 0.541
## Var: Residual 1.200 1.585 1.340 1.059
## ─────────────────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0), ‘interactions’ (v1.2.0)
## Effect Type : Parallel Multiple Moderated Mediation (2 meds) (Model 7)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Direct Effect: "highlowstat" (X) ==> "voice" (Y)## ──────────────────────────────────────────────────────────────
## Effect S.E. t p [95% CI]
## ──────────────────────────────────────────────────────────────
## Direct (c') -1.254 (0.084) -14.941 <.001 *** [-1.419, -1.089]
## ──────────────────────────────────────────────────────────────
##
## Interaction Effect on "futtask" (M)
## ──────────────────────────────────────────────
## F df1 df2 p
## ──────────────────────────────────────────────
## highlowstat * hiermut 1.49 1 1058 .223
## ──────────────────────────────────────────────
##
## Simple Slopes: "highlowstat" (X) ==> "futtask" (M)
## (Conditional Effects [a] of X on M)
## ───────────────────────────────────────────────────────────
## "hiermut" Effect S.E. t p [95% CI]
## ───────────────────────────────────────────────────────────
## 2.776 (- SD) 0.664 (0.127) 5.216 <.001 *** [0.414, 0.913]
## 4.270 (Mean) 0.546 (0.103) 5.296 <.001 *** [0.344, 0.748]
## 5.764 (+ SD) 0.429 (0.154) 2.788 .005 ** [0.127, 0.730]
## ───────────────────────────────────────────────────────────
##
## Running 5000 * 3 simulations...
## Indirect Path: "highlowstat" (X) ==> "futtask" (M) ==> "voice" (Y)
## (Conditional Indirect Effects [ab] of X through M on Y)
## ──────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. z p [MCMC 95% CI]
## ──────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.096 (0.028) -3.450 <.001 *** [-0.157, -0.048]
## 4.270 (Mean) -0.080 (0.023) -3.481 <.001 *** [-0.128, -0.039]
## 5.764 (+ SD) -0.063 (0.027) -2.367 .018 * [-0.119, -0.018]
## ──────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Interaction Effect on "futstatus" (M)
## ──────────────────────────────────────────────
## F df1 df2 p
## ──────────────────────────────────────────────
## highlowstat * hiermut 4.71 1 1006 .030 *
## ──────────────────────────────────────────────
##
## Simple Slopes: "highlowstat" (X) ==> "futstatus" (M)
## (Conditional Effects [a] of X on M)
## ────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. t p [95% CI]
## ────────────────────────────────────────────────────────────
## 2.776 (- SD) 0.572 (0.121) 4.718 <.001 *** [ 0.334, 0.809]
## 4.270 (Mean) 0.374 (0.098) 3.793 <.001 *** [ 0.181, 0.567]
## 5.764 (+ SD) 0.176 (0.146) 1.201 .230 [-0.111, 0.462]
## ────────────────────────────────────────────────────────────
##
## Running 5000 * 3 simulations...
## Indirect Path: "highlowstat" (X) ==> "futstatus" (M) ==> "voice" (Y)
## (Conditional Indirect Effects [ab] of X through M on Y)
## ──────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. z p [MCMC 95% CI]
## ──────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.022 (0.019) -1.140 .254 [-0.062, 0.013]
## 4.270 (Mean) -0.014 (0.013) -1.119 .263 [-0.042, 0.009]
## 5.764 (+ SD) -0.007 (0.009) -0.751 .452 [-0.029, 0.007]
## ──────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Meds - Status
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 7 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Moderated Mediation
## - Outcome (Y) : voice
## - Predictor (X) : highlowstat (recoded: High=0, Low=1)
## - Mediators (M) : futstatus
## - Moderators (W) : hiermut
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futstatus ~ highlowstat*hiermut + (1 | pid)
## Formula of Outcome:
## - voice ~ highlowstat + hiermut + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ───────────────────────────────────────────────────────────────
## (1) voice (2) futstatus (3) voice
## ───────────────────────────────────────────────────────────────
## (Intercept) 4.959 *** 3.002 *** 4.960 ***
## (0.054) (0.070) (0.051)
## highlowstat -1.639 *** 0.374 *** -1.301 ***
## (0.083) (0.098) (0.084)
## hiermut -0.267 *** 0.247 ***
## (0.033) (0.029)
## highlowstat:hiermut -0.133 *
## (0.061)
## futstatus -0.130 ***
## (0.025)
## ───────────────────────────────────────────────────────────────
## AIC 3693.903 3939.243 3588.284
## BIC 3713.948 3969.310 3618.351
## Num. obs. 1109 1109 1109
## Num. groups: pid 334 334 334
## Var: pid (Intercept) 0.616 1.132 0.553
## Var: Residual 1.200 1.340 1.079
## ───────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0), ‘interactions’ (v1.2.0)
## Effect Type : Moderated Mediation (Model 7)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Direct Effect: "highlowstat" (X) ==> "voice" (Y)## ──────────────────────────────────────────────────────────────
## Effect S.E. t p [95% CI]
## ──────────────────────────────────────────────────────────────
## Direct (c') -1.301 (0.084) -15.470 <.001 *** [-1.466, -1.136]
## ──────────────────────────────────────────────────────────────
##
## Interaction Effect on "futstatus" (M)
## ──────────────────────────────────────────────
## F df1 df2 p
## ──────────────────────────────────────────────
## highlowstat * hiermut 4.71 1 1006 .030 *
## ──────────────────────────────────────────────
##
## Simple Slopes: "highlowstat" (X) ==> "futstatus" (M)
## (Conditional Effects [a] of X on M)
## ────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. t p [95% CI]
## ────────────────────────────────────────────────────────────
## 2.776 (- SD) 0.572 (0.121) 4.718 <.001 *** [ 0.334, 0.809]
## 4.270 (Mean) 0.374 (0.098) 3.793 <.001 *** [ 0.181, 0.567]
## 5.764 (+ SD) 0.176 (0.146) 1.201 .230 [-0.111, 0.462]
## ────────────────────────────────────────────────────────────
##
## Running 5000 * 3 simulations...
## Indirect Path: "highlowstat" (X) ==> "futstatus" (M) ==> "voice" (Y)
## (Conditional Indirect Effects [ab] of X through M on Y)
## ──────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. z p [MCMC 95% CI]
## ──────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.074 (0.022) -3.389 <.001 *** [-0.122, -0.036]
## 4.270 (Mean) -0.049 (0.016) -2.978 .003 ** [-0.084, -0.020]
## 5.764 (+ SD) -0.023 (0.020) -1.160 .246 [-0.065, 0.014]
## ──────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Meds - Task
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 7 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Moderated Mediation
## - Outcome (Y) : voice
## - Predictor (X) : highlowstat (recoded: High=0, Low=1)
## - Mediators (M) : futstatus
## - Moderators (W) : hiermut
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futstatus ~ highlowstat*hiermut + (1 | pid)
## Formula of Outcome:
## - voice ~ highlowstat + hiermut + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ───────────────────────────────────────────────────────────────
## (1) voice (2) futstatus (3) voice
## ───────────────────────────────────────────────────────────────
## (Intercept) 4.959 *** 3.002 *** 4.960 ***
## (0.054) (0.070) (0.051)
## highlowstat -1.639 *** 0.374 *** -1.301 ***
## (0.083) (0.098) (0.084)
## hiermut -0.267 *** 0.247 ***
## (0.033) (0.029)
## highlowstat:hiermut -0.133 *
## (0.061)
## futstatus -0.130 ***
## (0.025)
## ───────────────────────────────────────────────────────────────
## AIC 3693.903 3939.243 3588.284
## BIC 3713.948 3969.310 3618.351
## Num. obs. 1109 1109 1109
## Num. groups: pid 334 334 334
## Var: pid (Intercept) 0.616 1.132 0.553
## Var: Residual 1.200 1.340 1.079
## ───────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0), ‘interactions’ (v1.2.0)
## Effect Type : Moderated Mediation (Model 7)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Direct Effect: "highlowstat" (X) ==> "voice" (Y)## ──────────────────────────────────────────────────────────────
## Effect S.E. t p [95% CI]
## ──────────────────────────────────────────────────────────────
## Direct (c') -1.301 (0.084) -15.470 <.001 *** [-1.466, -1.136]
## ──────────────────────────────────────────────────────────────
##
## Interaction Effect on "futstatus" (M)
## ──────────────────────────────────────────────
## F df1 df2 p
## ──────────────────────────────────────────────
## highlowstat * hiermut 4.71 1 1006 .030 *
## ──────────────────────────────────────────────
##
## Simple Slopes: "highlowstat" (X) ==> "futstatus" (M)
## (Conditional Effects [a] of X on M)
## ────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. t p [95% CI]
## ────────────────────────────────────────────────────────────
## 2.776 (- SD) 0.572 (0.121) 4.718 <.001 *** [ 0.334, 0.809]
## 4.270 (Mean) 0.374 (0.098) 3.793 <.001 *** [ 0.181, 0.567]
## 5.764 (+ SD) 0.176 (0.146) 1.201 .230 [-0.111, 0.462]
## ────────────────────────────────────────────────────────────
##
## Running 5000 * 3 simulations...
## Indirect Path: "highlowstat" (X) ==> "futstatus" (M) ==> "voice" (Y)
## (Conditional Indirect Effects [ab] of X through M on Y)
## ──────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. z p [MCMC 95% CI]
## ──────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.074 (0.022) -3.389 <.001 *** [-0.122, -0.036]
## 4.270 (Mean) -0.049 (0.016) -2.978 .003 ** [-0.084, -0.020]
## 5.764 (+ SD) -0.023 (0.020) -1.160 .246 [-0.065, 0.014]
## ──────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)DV: Prohibitive Voice
Meds - Task + Status
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 7 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Parallel Multiple Moderated Mediation (2 meds)
## - Outcome (Y) : voice.proh
## - Predictor (X) : highlowstat (recoded: High=0, Low=1)
## - Mediators (M) : futtask, futstatus
## - Moderators (W) : hiermut
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futtask ~ highlowstat*hiermut + (1 | pid)
## - futstatus ~ highlowstat*hiermut + (1 | pid)
## Formula of Outcome:
## - voice.proh ~ highlowstat + hiermut + futtask + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ─────────────────────────────────────────────────────────────────────────────────
## (1) voice.proh (2) futtask (3) futstatus (4) voice.proh
## ─────────────────────────────────────────────────────────────────────────────────
## (Intercept) 4.473 *** 2.829 *** 3.002 *** 4.475 ***
## (0.071) (0.064) (0.070) (0.067)
## highlowstat -1.483 *** 0.546 *** 0.374 *** -1.135 ***
## (0.095) (0.103) (0.098) (0.099)
## hiermut -0.316 *** -0.267 *** 0.298 ***
## (0.034) (0.033) (0.035)
## highlowstat:hiermut -0.079 -0.133 *
## (0.064) (0.061)
## futtask -0.070
## (0.036)
## futstatus 0.015
## (0.038)
## ─────────────────────────────────────────────────────────────────────────────────
## AIC 4022.576 4013.257 3939.243 3951.807
## BIC 4042.620 4043.324 3969.310 3986.886
## Num. obs. 1109 1109 1109 1109
## Num. groups: pid 334 334 334 334
## Var: pid (Intercept) 1.251 0.819 1.132 1.089
## Var: Residual 1.452 1.585 1.340 1.362
## ─────────────────────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0), ‘interactions’ (v1.2.0)
## Effect Type : Parallel Multiple Moderated Mediation (2 meds) (Model 7)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Direct Effect: "highlowstat" (X) ==> "voice.proh" (Y)## ──────────────────────────────────────────────────────────────
## Effect S.E. t p [95% CI]
## ──────────────────────────────────────────────────────────────
## Direct (c') -1.135 (0.099) -11.499 <.001 *** [-1.328, -0.942]
## ──────────────────────────────────────────────────────────────
##
## Interaction Effect on "futtask" (M)
## ──────────────────────────────────────────────
## F df1 df2 p
## ──────────────────────────────────────────────
## highlowstat * hiermut 1.49 1 1058 .223
## ──────────────────────────────────────────────
##
## Simple Slopes: "highlowstat" (X) ==> "futtask" (M)
## (Conditional Effects [a] of X on M)
## ───────────────────────────────────────────────────────────
## "hiermut" Effect S.E. t p [95% CI]
## ───────────────────────────────────────────────────────────
## 2.776 (- SD) 0.664 (0.127) 5.216 <.001 *** [0.414, 0.913]
## 4.270 (Mean) 0.546 (0.103) 5.296 <.001 *** [0.344, 0.748]
## 5.764 (+ SD) 0.429 (0.154) 2.788 .005 ** [0.127, 0.730]
## ───────────────────────────────────────────────────────────
##
## Running 5000 * 3 simulations...
## Indirect Path: "highlowstat" (X) ==> "futtask" (M) ==> "voice.proh" (Y)
## (Conditional Indirect Effects [ab] of X through M on Y)
## ──────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. z p [MCMC 95% CI]
## ──────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.045 (0.026) -1.751 .080 . [-0.102, 0.003]
## 4.270 (Mean) -0.038 (0.021) -1.757 .079 . [-0.083, 0.002]
## 5.764 (+ SD) -0.030 (0.020) -1.505 .132 [-0.074, 0.002]
## ──────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Interaction Effect on "futstatus" (M)
## ──────────────────────────────────────────────
## F df1 df2 p
## ──────────────────────────────────────────────
## highlowstat * hiermut 4.71 1 1006 .030 *
## ──────────────────────────────────────────────
##
## Simple Slopes: "highlowstat" (X) ==> "futstatus" (M)
## (Conditional Effects [a] of X on M)
## ────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. t p [95% CI]
## ────────────────────────────────────────────────────────────
## 2.776 (- SD) 0.572 (0.121) 4.718 <.001 *** [ 0.334, 0.809]
## 4.270 (Mean) 0.374 (0.098) 3.793 <.001 *** [ 0.181, 0.567]
## 5.764 (+ SD) 0.176 (0.146) 1.201 .230 [-0.111, 0.462]
## ────────────────────────────────────────────────────────────
##
## Running 5000 * 3 simulations...
## Indirect Path: "highlowstat" (X) ==> "futstatus" (M) ==> "voice.proh" (Y)
## (Conditional Indirect Effects [ab] of X through M on Y)
## ─────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. z p [MCMC 95% CI]
## ─────────────────────────────────────────────────────────────
## 2.776 (- SD) 0.008 (0.022) 0.373 .709 [-0.035, 0.053]
## 4.270 (Mean) 0.005 (0.014) 0.372 .710 [-0.023, 0.035]
## 5.764 (+ SD) 0.003 (0.009) 0.294 .769 [-0.014, 0.024]
## ─────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Meds - Status
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 7 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Moderated Mediation
## - Outcome (Y) : voice.proh
## - Predictor (X) : highlowstat (recoded: High=0, Low=1)
## - Mediators (M) : futstatus
## - Moderators (W) : hiermut
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futstatus ~ highlowstat*hiermut + (1 | pid)
## Formula of Outcome:
## - voice.proh ~ highlowstat + hiermut + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ───────────────────────────────────────────────────────────────────
## (1) voice.proh (2) futstatus (3) voice.proh
## ───────────────────────────────────────────────────────────────────
## (Intercept) 4.473 *** 3.002 *** 4.475 ***
## (0.071) (0.070) (0.067)
## highlowstat -1.483 *** 0.374 *** -1.157 ***
## (0.095) (0.098) (0.098)
## hiermut -0.267 *** 0.309 ***
## (0.033) (0.034)
## highlowstat:hiermut -0.133 *
## (0.061)
## futstatus -0.029
## (0.030)
## ───────────────────────────────────────────────────────────────────
## AIC 4022.576 3939.243 3948.727
## BIC 4042.620 3969.310 3978.794
## Num. obs. 1109 1109 1109
## Num. groups: pid 334 334 334
## Var: pid (Intercept) 1.251 1.132 1.090
## Var: Residual 1.452 1.340 1.366
## ───────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0), ‘interactions’ (v1.2.0)
## Effect Type : Moderated Mediation (Model 7)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Direct Effect: "highlowstat" (X) ==> "voice.proh" (Y)## ──────────────────────────────────────────────────────────────
## Effect S.E. t p [95% CI]
## ──────────────────────────────────────────────────────────────
## Direct (c') -1.157 (0.098) -11.798 <.001 *** [-1.350, -0.965]
## ──────────────────────────────────────────────────────────────
##
## Interaction Effect on "futstatus" (M)
## ──────────────────────────────────────────────
## F df1 df2 p
## ──────────────────────────────────────────────
## highlowstat * hiermut 4.71 1 1006 .030 *
## ──────────────────────────────────────────────
##
## Simple Slopes: "highlowstat" (X) ==> "futstatus" (M)
## (Conditional Effects [a] of X on M)
## ────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. t p [95% CI]
## ────────────────────────────────────────────────────────────
## 2.776 (- SD) 0.572 (0.121) 4.718 <.001 *** [ 0.334, 0.809]
## 4.270 (Mean) 0.374 (0.098) 3.793 <.001 *** [ 0.181, 0.567]
## 5.764 (+ SD) 0.176 (0.146) 1.201 .230 [-0.111, 0.462]
## ────────────────────────────────────────────────────────────
##
## Running 5000 * 3 simulations...
## Indirect Path: "highlowstat" (X) ==> "futstatus" (M) ==> "voice.proh" (Y)
## (Conditional Indirect Effects [ab] of X through M on Y)
## ──────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. z p [MCMC 95% CI]
## ──────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.016 (0.018) -0.897 .370 [-0.054, 0.019]
## 4.270 (Mean) -0.011 (0.012) -0.878 .380 [-0.036, 0.012]
## 5.764 (+ SD) -0.005 (0.008) -0.620 .536 [-0.025, 0.008]
## ──────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Meds - Task
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 7 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Moderated Mediation
## - Outcome (Y) : voice.proh
## - Predictor (X) : highlowstat (recoded: High=0, Low=1)
## - Mediators (M) : futstatus
## - Moderators (W) : hiermut
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futstatus ~ highlowstat*hiermut + (1 | pid)
## Formula of Outcome:
## - voice.proh ~ highlowstat + hiermut + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ───────────────────────────────────────────────────────────────────
## (1) voice.proh (2) futstatus (3) voice.proh
## ───────────────────────────────────────────────────────────────────
## (Intercept) 4.473 *** 3.002 *** 4.475 ***
## (0.071) (0.070) (0.067)
## highlowstat -1.483 *** 0.374 *** -1.157 ***
## (0.095) (0.098) (0.098)
## hiermut -0.267 *** 0.309 ***
## (0.033) (0.034)
## highlowstat:hiermut -0.133 *
## (0.061)
## futstatus -0.029
## (0.030)
## ───────────────────────────────────────────────────────────────────
## AIC 4022.576 3939.243 3948.727
## BIC 4042.620 3969.310 3978.794
## Num. obs. 1109 1109 1109
## Num. groups: pid 334 334 334
## Var: pid (Intercept) 1.251 1.132 1.090
## Var: Residual 1.452 1.340 1.366
## ───────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0), ‘interactions’ (v1.2.0)
## Effect Type : Moderated Mediation (Model 7)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Direct Effect: "highlowstat" (X) ==> "voice.proh" (Y)## ──────────────────────────────────────────────────────────────
## Effect S.E. t p [95% CI]
## ──────────────────────────────────────────────────────────────
## Direct (c') -1.157 (0.098) -11.798 <.001 *** [-1.350, -0.965]
## ──────────────────────────────────────────────────────────────
##
## Interaction Effect on "futstatus" (M)
## ──────────────────────────────────────────────
## F df1 df2 p
## ──────────────────────────────────────────────
## highlowstat * hiermut 4.71 1 1006 .030 *
## ──────────────────────────────────────────────
##
## Simple Slopes: "highlowstat" (X) ==> "futstatus" (M)
## (Conditional Effects [a] of X on M)
## ────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. t p [95% CI]
## ────────────────────────────────────────────────────────────
## 2.776 (- SD) 0.572 (0.121) 4.718 <.001 *** [ 0.334, 0.809]
## 4.270 (Mean) 0.374 (0.098) 3.793 <.001 *** [ 0.181, 0.567]
## 5.764 (+ SD) 0.176 (0.146) 1.201 .230 [-0.111, 0.462]
## ────────────────────────────────────────────────────────────
##
## Running 5000 * 3 simulations...
## Indirect Path: "highlowstat" (X) ==> "futstatus" (M) ==> "voice.proh" (Y)
## (Conditional Indirect Effects [ab] of X through M on Y)
## ──────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. z p [MCMC 95% CI]
## ──────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.016 (0.018) -0.897 .370 [-0.054, 0.019]
## 4.270 (Mean) -0.011 (0.012) -0.878 .380 [-0.036, 0.012]
## 5.764 (+ SD) -0.005 (0.008) -0.620 .536 [-0.025, 0.008]
## ──────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)DV: Promotive voice
Meds - Task + Status
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 7 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Parallel Multiple Moderated Mediation (2 meds)
## - Outcome (Y) : voice.prom
## - Predictor (X) : highlowstat (recoded: High=0, Low=1)
## - Mediators (M) : futtask, futstatus
## - Moderators (W) : hiermut
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futtask ~ highlowstat*hiermut + (1 | pid)
## - futstatus ~ highlowstat*hiermut + (1 | pid)
## Formula of Outcome:
## - voice.prom ~ highlowstat + hiermut + futtask + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ─────────────────────────────────────────────────────────────────────────────────
## (1) voice.prom (2) futtask (3) futstatus (4) voice.prom
## ─────────────────────────────────────────────────────────────────────────────────
## (Intercept) 4.914 *** 2.829 *** 3.002 *** 4.914 ***
## (0.056) (0.064) (0.070) (0.053)
## highlowstat -1.572 *** 0.546 *** 0.374 *** -1.162 ***
## (0.090) (0.103) (0.098) (0.092)
## hiermut -0.316 *** -0.267 *** 0.249 ***
## (0.034) (0.033) (0.032)
## highlowstat:hiermut -0.079 -0.133 *
## (0.064) (0.061)
## futtask -0.169 ***
## (0.034)
## futstatus -0.008
## (0.035)
## ─────────────────────────────────────────────────────────────────────────────────
## AIC 3884.038 4013.257 3939.243 3770.546
## BIC 3904.083 4043.324 3969.310 3805.625
## Num. obs. 1109 1109 1109 1109
## Num. groups: pid 334 334 334 334
## Var: pid (Intercept) 0.609 0.819 1.132 0.532
## Var: Residual 1.484 1.585 1.340 1.322
## ─────────────────────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0), ‘interactions’ (v1.2.0)
## Effect Type : Parallel Multiple Moderated Mediation (2 meds) (Model 7)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Direct Effect: "highlowstat" (X) ==> "voice.prom" (Y)## ──────────────────────────────────────────────────────────────
## Effect S.E. t p [95% CI]
## ──────────────────────────────────────────────────────────────
## Direct (c') -1.162 (0.092) -12.650 <.001 *** [-1.344, -0.982]
## ──────────────────────────────────────────────────────────────
##
## Interaction Effect on "futtask" (M)
## ──────────────────────────────────────────────
## F df1 df2 p
## ──────────────────────────────────────────────
## highlowstat * hiermut 1.49 1 1058 .223
## ──────────────────────────────────────────────
##
## Simple Slopes: "highlowstat" (X) ==> "futtask" (M)
## (Conditional Effects [a] of X on M)
## ───────────────────────────────────────────────────────────
## "hiermut" Effect S.E. t p [95% CI]
## ───────────────────────────────────────────────────────────
## 2.776 (- SD) 0.664 (0.127) 5.216 <.001 *** [0.414, 0.913]
## 4.270 (Mean) 0.546 (0.103) 5.296 <.001 *** [0.344, 0.748]
## 5.764 (+ SD) 0.429 (0.154) 2.788 .005 ** [0.127, 0.730]
## ───────────────────────────────────────────────────────────
##
## Running 5000 * 3 simulations...
## Indirect Path: "highlowstat" (X) ==> "futtask" (M) ==> "voice.prom" (Y)
## (Conditional Indirect Effects [ab] of X through M on Y)
## ──────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. z p [MCMC 95% CI]
## ──────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.111 (0.031) -3.534 <.001 *** [-0.179, -0.056]
## 4.270 (Mean) -0.092 (0.026) -3.568 <.001 *** [-0.146, -0.047]
## 5.764 (+ SD) -0.072 (0.030) -2.397 .017 * [-0.136, -0.021]
## ──────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Interaction Effect on "futstatus" (M)
## ──────────────────────────────────────────────
## F df1 df2 p
## ──────────────────────────────────────────────
## highlowstat * hiermut 4.71 1 1006 .030 *
## ──────────────────────────────────────────────
##
## Simple Slopes: "highlowstat" (X) ==> "futstatus" (M)
## (Conditional Effects [a] of X on M)
## ────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. t p [95% CI]
## ────────────────────────────────────────────────────────────
## 2.776 (- SD) 0.572 (0.121) 4.718 <.001 *** [ 0.334, 0.809]
## 4.270 (Mean) 0.374 (0.098) 3.793 <.001 *** [ 0.181, 0.567]
## 5.764 (+ SD) 0.176 (0.146) 1.201 .230 [-0.111, 0.462]
## ────────────────────────────────────────────────────────────
##
## Running 5000 * 3 simulations...
## Indirect Path: "highlowstat" (X) ==> "futstatus" (M) ==> "voice.prom" (Y)
## (Conditional Indirect Effects [ab] of X through M on Y)
## ──────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. z p [MCMC 95% CI]
## ──────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.005 (0.020) -0.224 .823 [-0.046, 0.035]
## 4.270 (Mean) -0.003 (0.013) -0.222 .824 [-0.030, 0.023]
## 5.764 (+ SD) -0.001 (0.008) -0.176 .860 [-0.020, 0.014]
## ──────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Meds - Status
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 7 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Moderated Mediation
## - Outcome (Y) : voice.prom
## - Predictor (X) : highlowstat (recoded: High=0, Low=1)
## - Mediators (M) : futstatus
## - Moderators (W) : hiermut
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futstatus ~ highlowstat*hiermut + (1 | pid)
## Formula of Outcome:
## - voice.prom ~ highlowstat + hiermut + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ───────────────────────────────────────────────────────────────────
## (1) voice.prom (2) futstatus (3) voice.prom
## ───────────────────────────────────────────────────────────────────
## (Intercept) 4.914 *** 3.002 *** 4.914 ***
## (0.056) (0.070) (0.054)
## highlowstat -1.572 *** 0.374 *** -1.216 ***
## (0.090) (0.098) (0.092)
## hiermut -0.267 *** 0.274 ***
## (0.033) (0.032)
## highlowstat:hiermut -0.133 *
## (0.061)
## futstatus -0.115 ***
## (0.028)
## ───────────────────────────────────────────────────────────────────
## AIC 3884.038 3939.243 3787.709
## BIC 3904.083 3969.310 3817.776
## Num. obs. 1109 1109 1109
## Num. groups: pid 334 334 334
## Var: pid (Intercept) 0.609 1.132 0.552
## Var: Residual 1.484 1.340 1.345
## ───────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0), ‘interactions’ (v1.2.0)
## Effect Type : Moderated Mediation (Model 7)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Direct Effect: "highlowstat" (X) ==> "voice.prom" (Y)## ──────────────────────────────────────────────────────────────
## Effect S.E. t p [95% CI]
## ──────────────────────────────────────────────────────────────
## Direct (c') -1.216 (0.092) -13.189 <.001 *** [-1.398, -1.034]
## ──────────────────────────────────────────────────────────────
##
## Interaction Effect on "futstatus" (M)
## ──────────────────────────────────────────────
## F df1 df2 p
## ──────────────────────────────────────────────
## highlowstat * hiermut 4.71 1 1006 .030 *
## ──────────────────────────────────────────────
##
## Simple Slopes: "highlowstat" (X) ==> "futstatus" (M)
## (Conditional Effects [a] of X on M)
## ────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. t p [95% CI]
## ────────────────────────────────────────────────────────────
## 2.776 (- SD) 0.572 (0.121) 4.718 <.001 *** [ 0.334, 0.809]
## 4.270 (Mean) 0.374 (0.098) 3.793 <.001 *** [ 0.181, 0.567]
## 5.764 (+ SD) 0.176 (0.146) 1.201 .230 [-0.111, 0.462]
## ────────────────────────────────────────────────────────────
##
## Running 5000 * 3 simulations...
## Indirect Path: "highlowstat" (X) ==> "futstatus" (M) ==> "voice.prom" (Y)
## (Conditional Indirect Effects [ab] of X through M on Y)
## ──────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. z p [MCMC 95% CI]
## ──────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.065 (0.021) -3.032 .002 ** [-0.112, -0.028]
## 4.270 (Mean) -0.043 (0.016) -2.720 .007 ** [-0.077, -0.016]
## 5.764 (+ SD) -0.020 (0.018) -1.133 .257 [-0.059, 0.012]
## ──────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)Meds - Task
##
## ****************** PART 1. Regression Model Summary ******************
##
## PROCESS Model Code : 7 (Hayes, 2018; www.guilford.com/p/hayes3)
## PROCESS Model Type : Moderated Mediation
## - Outcome (Y) : voice.prom
## - Predictor (X) : highlowstat (recoded: High=0, Low=1)
## - Mediators (M) : futstatus
## - Moderators (W) : hiermut
## - Covariates (C) : -
## - HLM Clusters : pid
##
## All numeric predictors have been grand-mean centered.
## (For details, please see the help page of PROCESS.)
##
## Formula of Mediator:
## - futstatus ~ highlowstat*hiermut + (1 | pid)
## Formula of Outcome:
## - voice.prom ~ highlowstat + hiermut + futstatus + (1 | pid)
##
## CAUTION:
## Fixed effect (coef.) of a predictor involved in an interaction
## denotes its "simple effect/slope" at the other predictor = 0.
## Only when all predictors in an interaction are mean-centered
## can the fixed effect denote the "main effect"!
##
## Model Summary
##
## ───────────────────────────────────────────────────────────────────
## (1) voice.prom (2) futstatus (3) voice.prom
## ───────────────────────────────────────────────────────────────────
## (Intercept) 4.914 *** 3.002 *** 4.914 ***
## (0.056) (0.070) (0.054)
## highlowstat -1.572 *** 0.374 *** -1.216 ***
## (0.090) (0.098) (0.092)
## hiermut -0.267 *** 0.274 ***
## (0.033) (0.032)
## highlowstat:hiermut -0.133 *
## (0.061)
## futstatus -0.115 ***
## (0.028)
## ───────────────────────────────────────────────────────────────────
## AIC 3884.038 3939.243 3787.709
## BIC 3904.083 3969.310 3817.776
## Num. obs. 1109 1109 1109
## Num. groups: pid 334 334 334
## Var: pid (Intercept) 0.609 1.132 0.552
## Var: Residual 1.484 1.340 1.345
## ───────────────────────────────────────────────────────────────────
## Note. * p < .05, ** p < .01, *** p < .001.
##
## ************ PART 2. Mediation/Moderation Effect Estimate ************
##
## Package Use : ‘mediation’ (v4.5.0), ‘interactions’ (v1.2.0)
## Effect Type : Moderated Mediation (Model 7)
## Sample Size : 1109 (3 missing observations deleted)
## Random Seed : set.seed(4)
## Simulations : 5000 (Bootstrap)
##
## Direct Effect: "highlowstat" (X) ==> "voice.prom" (Y)## ──────────────────────────────────────────────────────────────
## Effect S.E. t p [95% CI]
## ──────────────────────────────────────────────────────────────
## Direct (c') -1.216 (0.092) -13.189 <.001 *** [-1.398, -1.034]
## ──────────────────────────────────────────────────────────────
##
## Interaction Effect on "futstatus" (M)
## ──────────────────────────────────────────────
## F df1 df2 p
## ──────────────────────────────────────────────
## highlowstat * hiermut 4.71 1 1006 .030 *
## ──────────────────────────────────────────────
##
## Simple Slopes: "highlowstat" (X) ==> "futstatus" (M)
## (Conditional Effects [a] of X on M)
## ────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. t p [95% CI]
## ────────────────────────────────────────────────────────────
## 2.776 (- SD) 0.572 (0.121) 4.718 <.001 *** [ 0.334, 0.809]
## 4.270 (Mean) 0.374 (0.098) 3.793 <.001 *** [ 0.181, 0.567]
## 5.764 (+ SD) 0.176 (0.146) 1.201 .230 [-0.111, 0.462]
## ────────────────────────────────────────────────────────────
##
## Running 5000 * 3 simulations...
## Indirect Path: "highlowstat" (X) ==> "futstatus" (M) ==> "voice.prom" (Y)
## (Conditional Indirect Effects [ab] of X through M on Y)
## ──────────────────────────────────────────────────────────────
## "hiermut" Effect S.E. z p [MCMC 95% CI]
## ──────────────────────────────────────────────────────────────
## 2.776 (- SD) -0.065 (0.021) -3.032 .002 ** [-0.112, -0.028]
## 4.270 (Mean) -0.043 (0.016) -2.720 .007 ** [-0.077, -0.016]
## 5.764 (+ SD) -0.020 (0.018) -1.133 .257 [-0.059, 0.012]
## ──────────────────────────────────────────────────────────────
## Monte Carlo (Quasi-Bayesian) Confidence Interval
## (Effect, SE, and CI are estimated based on 5000 Monte Carlo samples.)
##
## Note. The results based on bootstrapping or other random processes
## are unlikely identical to other statistical software (e.g., SPSS).
## To make results reproducible, you need to set a seed (any number).
## Please see the help page for details: help(PROCESS)
## Ignore this note if you have already set a seed. :)