MDP2 Report

Graphs

Main Effects

Tightness

Norm Violations

Positive Gossip

Negative Gossip

Punishment

Monitoring

Organizational Citizenship Behaviors

Controls

I controlled for the following:
- Participant’s moral diversity in their workplace.
- Participant’s tenure in the organization.
- Participant’s power in the organization.
- The size of the organization.
- Participant’s gender.
- Participant’s age.
- Participant’s race.

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 =  0.01    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

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

DV: Negative gossip

No controls: CI of indirect effect does NOT cross zero

## 
## Mediation/Moderation Analysis 
## Call: psych::mediate(y = neg_gos ~ cond_num + (tightness), data = mdp2_clean)
## 
## The DV (Y) was  neg_gos . The IV (X) was  cond_num . The mediating variable(s) =  tightness .
## 
## Total effect(c) of  cond_num  on  neg_gos  =  0.16   S.E. =  0.04  t  =  3.61  df=  142   with p =  0.00042
## Direct effect (c') of  cond_num  on  neg_gos  removing  tightness  =  0.06   S.E. =  0.06  t  =  1.12  df=  141   with p =  0.27
## Indirect effect (ab) of  cond_num  on  neg_gos  through  tightness   =  0.1 
## Mean bootstrapped indirect effect =  0.1  with standard error =  0.04  Lower CI =  0.02    Upper CI =  0.19
## R = 0.37 R2 = 0.14   F = 11.02 on 2 and 141 DF   p-value:  1.52e-06 
## 
##  To see the longer output, specify short = FALSE in the print statement or ask for the summary

DV: Negative gossip - Crosses Zero

No controls: CI of indirect effect does NOT cross zero

## 
## Mediation/Moderation Analysis 
## Call: psych::mediate(y = neg_gos ~ cond_num + (tightness), data = mdp2_clean, 
##     z = controls)
## 
## The DV (Y) was  neg_gos . The IV (X) was  cond_num . The mediating variable(s) =  tightness .
## 
## Total effect(c) of  cond_num  on  neg_gos  =  0.16   S.E. =  0.04  t  =  3.61  df=  142   with p =  0.00042
## Direct effect (c') of  cond_num  on  neg_gos  removing  tightness  =  0.06   S.E. =  0.06  t  =  1.12  df=  141   with p =  0.27
## Indirect effect (ab) of  cond_num  on  neg_gos  through  tightness   =  0.1 
## Mean bootstrapped indirect effect =  0.1  with standard error =  0.04  Lower CI =  0.02    Upper CI =  0.18
## R = 0.37 R2 = 0.14   F = 11.02 on 2 and 141 DF   p-value:  1.52e-06 
## 
##  To see the longer output, specify short = FALSE in the print statement or ask for the summary

DV: Punish

No controls: CI of indirect effect does NOT cross zero

## 
## Mediation/Moderation Analysis 
## Call: psych::mediate(y = punish ~ cond_num + (tightness), data = mdp2_clean)
## 
## The DV (Y) was  punish . The IV (X) was  cond_num . The mediating variable(s) =  tightness .
## 
## Total effect(c) of  cond_num  on  punish  =  -0.3   S.E. =  0.05  t  =  -6.32  df=  142   with p =  3.2e-09
## Direct effect (c') of  cond_num  on  punish  removing  tightness  =  -0.1   S.E. =  0.05  t  =  -1.79  df=  141   with p =  0.076
## Indirect effect (ab) of  cond_num  on  punish  through  tightness   =  -0.2 
## Mean bootstrapped indirect effect =  -0.2  with standard error =  0.04  Lower CI =  -0.28    Upper CI =  -0.12
## R = 0.62 R2 = 0.38   F = 43.36 on 2 and 141 DF   p-value:  6.45e-20 
## 
##  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 = punish ~ cond_num + (tightness), x = v, data = mdp2_clean)
## 
## The DV (Y) was  punish . The IV (X) was  cond_num . The mediating variable(s) =  tightness .
## 
## Total effect(c) of  cond_num  on  punish  =  -0.3   S.E. =  0.05  t  =  -6.32  df=  142   with p =  3.2e-09
## Direct effect (c') of  cond_num  on  punish  removing  tightness  =  -0.1   S.E. =  0.05  t  =  -1.79  df=  141   with p =  0.076
## Indirect effect (ab) of  cond_num  on  punish  through  tightness   =  -0.2 
## Mean bootstrapped indirect effect =  -0.2  with standard error =  0.04  Lower CI =  -0.28    Upper CI =  -0.13
## R = 0.62 R2 = 0.38   F = 43.36 on 2 and 141 DF   p-value:  6.45e-20 
## 
##  To see the longer output, specify short = FALSE in the print statement or ask for the summary

DV: OCBs

No controls: CI of indirect effect does NOT cross zero

## 
## Mediation/Moderation Analysis 
## Call: psych::mediate(y = ocb ~ cond_num + (tightness), data = mdp2_clean)
## 
## The DV (Y) was  ocb . The IV (X) was  cond_num . The mediating variable(s) =  tightness .
## 
## Total effect(c) of  cond_num  on  ocb  =  -0.23   S.E. =  0.04  t  =  -5.55  df=  142   with p =  1.4e-07
## Direct effect (c') of  cond_num  on  ocb  removing  tightness  =  -0.09   S.E. =  0.05  t  =  -1.75  df=  141   with p =  0.082
## Indirect effect (ab) of  cond_num  on  ocb  through  tightness   =  -0.14 
## Mean bootstrapped indirect effect =  -0.15  with standard error =  0.04  Lower CI =  -0.22    Upper CI =  -0.07
## R = 0.54 R2 = 0.29   F = 28.72 on 2 and 141 DF   p-value:  1.49e-14 
## 
##  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 = ocb ~ cond_num + (tightness), data = mdp2_clean, 
##     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  =  -0.23   S.E. =  0.04  t  =  -5.55  df=  142   with p =  1.4e-07
## Direct effect (c') of  cond_num  on  ocb  removing  tightness  =  -0.09   S.E. =  0.05  t  =  -1.75  df=  141   with p =  0.082
## Indirect effect (ab) of  cond_num  on  ocb  through  tightness   =  -0.14 
## Mean bootstrapped indirect effect =  -0.14  with standard error =  0.04  Lower CI =  -0.22    Upper CI =  -0.07
## R = 0.54 R2 = 0.29   F = 28.72 on 2 and 141 DF   p-value:  1.49e-14 
## 
##  To see the longer output, specify short = FALSE in the print statement or ask for the summary