MDP Study 1 Report

Manipulation Information

Condition coding Pilot Study Manipulation Pre-registered Study Manipulation Abbreviated Name in report
1 Everybody shares the same moral priority Everybody shares the same moral priority 1. Everybody same
2 Almost everybody shares the same moral priority. Almost everybody shares the same moral priority. Those with other moral priorities differ from each other. 2. Almost everybody same
3 Many people share the same moral priority. Many people share the same moral priority. Those with other moral priorities differ from each other. 3. Many people same
4 Only a few people share the same moral priority. Only a few people share the same moral priority. Everybody else’s moral priorities differ from each other. 4. Only a few people same
5 Very few people share the same moral priority. Very few people share the same moral priority. 5. Very few people same

Pre-registered study

Self-reported moral composition of participant’s workplace

## 
##         1. Everybody same  2. Almost everybody same       3. Many people same 4. Only a few people same   5. Very few people same 
##                0.07284768                0.31125828                0.49006623                0.08609272                0.03973510

Graphs

With moral diversity coded as a factor

## 
## Call:
## lm(formula = n_vio ~ cond_f, data = mdp_study1clean)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -1.4583 -0.8723 -0.4091  0.6858  4.1277 
## 
## Coefficients:
##                                 Estimate Std. Error t value Pr(>|t|)    
## (Intercept)                       1.4091     0.3745   3.763 0.000243 ***
## cond_f2. Almost everybody same    0.4632     0.4160   1.114 0.267274    
## cond_f3. Many people same         0.6551     0.4013   1.632 0.104772    
## cond_f4. Only a few people same   0.8409     0.5088   1.653 0.100535    
## cond_f5. Very few people same     1.0492     0.6303   1.665 0.098135 .  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 1.242 on 146 degrees of freedom
## Multiple R-squared:   0.03,  Adjusted R-squared:  0.003422 
## F-statistic: 1.129 on 4 and 146 DF,  p-value: 0.3453

With moral diversity coded as a number

## 
## Call:
## lm(formula = n_vio ~ moraldiversity, data = mdp_study1clean)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -1.5303 -0.8208 -0.5303  0.6792  4.1792 
## 
## Coefficients:
##                Estimate Std. Error t value Pr(>|t|)    
## (Intercept)      1.3478     0.3264   4.129 6.03e-05 ***
## moraldiversity   0.2365     0.1147   2.062   0.0409 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 1.231 on 149 degrees of freedom
## Multiple R-squared:  0.02775,    Adjusted R-squared:  0.02122 
## F-statistic: 4.253 on 1 and 149 DF,  p-value: 0.04093

Pilot Study

Self-reported moral composition of participant’s workplace

## 
##         1. Everybody same  2. Almost everybody same       3. Many people same 4. Only a few people same   5. Very few people same 
##                0.04188482                0.29842932                0.52356021                0.11518325                0.02094241

Graph

With moral diversity coded as a factor

## 
## Call:
## lm(formula = n_vio ~ cond_f, data = mdp1_clean)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.1477 -0.9800 -0.4800  0.5256  5.0439 
## 
## Coefficients:
##                                 Estimate Std. Error t value Pr(>|t|)    
## (Intercept)                       1.2188     0.4857   2.509 0.012953 *  
## cond_f2. Almost everybody same    0.7374     0.5187   1.422 0.156791    
## cond_f3. Many people same         0.7612     0.5048   1.508 0.133215    
## cond_f4. Only a few people same   1.9290     0.5672   3.401 0.000822 ***
## cond_f5. Very few people same     0.4688     0.8413   0.557 0.578064    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 1.374 on 186 degrees of freedom
## Multiple R-squared:  0.08708,    Adjusted R-squared:  0.06745 
## F-statistic: 4.435 on 4 and 186 DF,  p-value: 0.001902

With moral diversity coded as a number

## 
## Call:
## lm(formula = n_vio ~ moraldiversity_corre, data = mdp1_clean)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -1.8419 -1.1475 -0.4531  0.4497  5.1997 
## 
## Coefficients:
##                      Estimate Std. Error t value Pr(>|t|)   
## (Intercept)            1.1059     0.3727   2.968  0.00339 **
## moraldiversity_corre   0.3472     0.1292   2.686  0.00787 **
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 1.4 on 189 degrees of freedom
## Multiple R-squared:  0.03678,    Adjusted R-squared:  0.03168 
## F-statistic: 7.217 on 1 and 189 DF,  p-value: 0.007866