Moral Diversity Study 2 Report

Pre-registered main effects

## PostHocs

Tightness

Norm Violations

Mediation (with tightness as the mediator)

DV: Norm violations

## 
## Mediation/Moderation Analysis 
## Call: psych::mediate(y = n_vio ~ cond_num + (tightness), data = mdp_study2clean)
## 
## The DV (Y) was  n_vio . The IV (X) was  cond_num . The mediating variable(s) =  tightness .
## 
## Total effect(c) of  cond_num  on  n_vio  =  -0.31   S.E. =  0.1  t  =  -3.19  df=  236   with p =  0.0016
## Direct effect (c') of  cond_num  on  n_vio  removing  tightness  =  -0.31   S.E. =  0.13  t  =  -2.38  df=  235   with p =  0.018
## Indirect effect (ab) of  cond_num  on  n_vio  through  tightness   =  0 
## Mean bootstrapped indirect effect =  0  with standard error =  0.09  Lower CI =  -0.18    Upper CI =  0.18
## R = 0.2 R2 = 0.04   F = 5.06 on 2 and 235 DF   p-value:  0.00206 
## 
##  To see the longer output, specify short = FALSE in the print statement or ask for the summary

## 
## Mediation/Moderation Analysis 
## Call: psych::mediate(y = n_vio ~ cond_num + (tightness), data = mdp_study2clean, 
##     z = controls)
## 
## The DV (Y) was  n_vio . The IV (X) was  cond_num . The mediating variable(s) =  tightness .
## 
## Total effect(c) of  cond_num  on  n_vio  =  -0.31   S.E. =  0.1  t  =  -3.19  df=  236   with p =  0.0016
## Direct effect (c') of  cond_num  on  n_vio  removing  tightness  =  -0.31   S.E. =  0.13  t  =  -2.38  df=  235   with p =  0.018
## Indirect effect (ab) of  cond_num  on  n_vio  through  tightness   =  0 
## Mean bootstrapped indirect effect =  0  with standard error =  0.09  Lower CI =  -0.19    Upper CI =  0.17
## R = 0.2 R2 = 0.04   F = 5.06 on 2 and 235 DF   p-value:  0.00206 
## 
##  To see the longer output, specify short = FALSE in the print statement or ask for the summary

DV: Punish

## 
## Mediation/Moderation Analysis 
## Call: psych::mediate(y = punish ~ cond_num + (tightness), data = mdp_study2clean)
## 
## The DV (Y) was  punish . The IV (X) was  cond_num . The mediating variable(s) =  tightness .
## 
## Total effect(c) of  cond_num  on  punish  =  0.44   S.E. =  0.05  t  =  9.69  df=  236   with p =  6.8e-19
## Direct effect (c') of  cond_num  on  punish  removing  tightness  =  0.09   S.E. =  0.05  t  =  1.83  df=  235   with p =  0.068
## Indirect effect (ab) of  cond_num  on  punish  through  tightness   =  0.35 
## Mean bootstrapped indirect effect =  0.35  with standard error =  0.04  Lower CI =  0.26    Upper CI =  0.43
## R = 0.71 R2 = 0.5   F = 118.21 on 2 and 235 DF   p-value:  1.09e-46 
## 
##  To see the longer output, specify short = FALSE in the print statement or ask for the summary

## 
## Mediation/Moderation Analysis 
## Call: psych::mediate(y = punish ~ cond_num + (tightness), data = mdp_study2clean, 
##     z = controls)
## 
## The DV (Y) was  punish . The IV (X) was  cond_num . The mediating variable(s) =  tightness .
## 
## Total effect(c) of  cond_num  on  punish  =  0.44   S.E. =  0.05  t  =  9.69  df=  236   with p =  6.8e-19
## Direct effect (c') of  cond_num  on  punish  removing  tightness  =  0.09   S.E. =  0.05  t  =  1.83  df=  235   with p =  0.068
## Indirect effect (ab) of  cond_num  on  punish  through  tightness   =  0.35 
## Mean bootstrapped indirect effect =  0.35  with standard error =  0.04  Lower CI =  0.26    Upper CI =  0.44
## R = 0.71 R2 = 0.5   F = 118.21 on 2 and 235 DF   p-value:  1.09e-46 
## 
##  To see the longer output, specify short = FALSE in the print statement or ask for the summary

DV: OCBs

## 
## Mediation/Moderation Analysis 
## Call: psych::mediate(y = ocb ~ cond_num + (tightness), data = mdp_study2clean)
## 
## The DV (Y) was  ocb . The IV (X) was  cond_num . The mediating variable(s) =  tightness .
## 
## Total effect(c) of  cond_num  on  ocb  =  0.36   S.E. =  0.05  t  =  7.97  df=  236   with p =  6.6e-14
## Direct effect (c') of  cond_num  on  ocb  removing  tightness  =  0.1   S.E. =  0.06  t  =  1.72  df=  235   with p =  0.086
## Indirect effect (ab) of  cond_num  on  ocb  through  tightness   =  0.27 
## Mean bootstrapped indirect effect =  0.27  with standard error =  0.04  Lower CI =  0.18    Upper CI =  0.35
## R = 0.59 R2 = 0.35   F = 64.27 on 2 and 235 DF   p-value:  2.22e-30 
## 
##  To see the longer output, specify short = FALSE in the print statement or ask for the summary

## 
## Mediation/Moderation Analysis 
## Call: psych::mediate(y = ocb ~ cond_num + (tightness), data = mdp_study2clean, 
##     z = controls)
## 
## The DV (Y) was  ocb . The IV (X) was  cond_num . The mediating variable(s) =  tightness .
## 
## Total effect(c) of  cond_num  on  ocb  =  0.36   S.E. =  0.05  t  =  7.97  df=  236   with p =  6.6e-14
## Direct effect (c') of  cond_num  on  ocb  removing  tightness  =  0.1   S.E. =  0.06  t  =  1.72  df=  235   with p =  0.086
## Indirect effect (ab) of  cond_num  on  ocb  through  tightness   =  0.27 
## Mean bootstrapped indirect effect =  0.27  with standard error =  0.04  Lower CI =  0.18    Upper CI =  0.35
## R = 0.59 R2 = 0.35   F = 64.27 on 2 and 235 DF   p-value:  2.22e-30 
## 
##  To see the longer output, specify short = FALSE in the print statement or ask for the summary

Pilot results

Posthocs

Tightness

Norm Violations

Mediation (all with tightness as the mediator)

DV: Norm violations

No controls: CI of indirect effect does NOT cross zero

## 
## Mediation/Moderation Analysis 
## Call: psych::mediate(y = n_vio ~ cond_num + (tightness), data = mdp2_clean)
## 
## The DV (Y) was  n_vio . The IV (X) was  cond_num . The mediating variable(s) =  tightness .
## 
## Total effect(c) of  cond_num  on  n_vio  =  0.29   S.E. =  0.08  t  =  3.38  df=  142   with p =  0.00094
## Direct effect (c') of  cond_num  on  n_vio  removing  tightness  =  0.13   S.E. =  0.11  t  =  1.27  df=  141   with p =  0.21
## Indirect effect (ab) of  cond_num  on  n_vio  through  tightness   =  0.15 
## Mean bootstrapped indirect effect =  0.15  with standard error =  0.07  Lower CI =  0.02    Upper CI =  0.3
## R = 0.33 R2 = 0.11   F = 8.51 on 2 and 141 DF   p-value:  3.09e-05 
## 
##  To see the longer output, specify short = FALSE in the print statement or ask for the summary

With controls: CI of indirect effect does NOT cross zero

## 
## Mediation/Moderation Analysis 
## Call: psych::mediate(y = n_vio ~ cond_num + (tightness), data = mdp2_clean, 
##     z = controls)
## 
## The DV (Y) was  n_vio . The IV (X) was  cond_num . The mediating variable(s) =  tightness .
## 
## Total effect(c) of  cond_num  on  n_vio  =  0.29   S.E. =  0.08  t  =  3.38  df=  142   with p =  0.00094
## Direct effect (c') of  cond_num  on  n_vio  removing  tightness  =  0.13   S.E. =  0.11  t  =  1.27  df=  141   with p =  0.21
## Indirect effect (ab) of  cond_num  on  n_vio  through  tightness   =  0.15 
## Mean bootstrapped indirect effect =  0.15  with standard error =  0.07  Lower CI =  0.01    Upper CI =  0.3
## R = 0.33 R2 = 0.11   F = 8.51 on 2 and 141 DF   p-value:  3.09e-05 
## 
##  To see the longer output, specify short = FALSE in the print statement or ask for the summary