25_12.01-Vign_Racism

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Demographic information

Raw

Gender

## gender_text
##              Man Non-binary/Other            Woman 
##              187                4               89

Race

## racef
## Traditionally Marginalized                Multiracial                      Asian                      White 
##                        165                         34                         64                         19

Failed attention check

## filterout
## Exclude  Retain 
##      35     246

Clean

Gender

## gender_text
##              Man Non-binary/Other            Woman 
##              167                3               75

Race

## racef
##                      White Traditionally Marginalized                Multiracial                      Asian 
##                         16                        146                         29                         54

Alphas

Need for significance

Status

Rewards

Social Rewards

Means + SDs

Analyses

Main effects

Binary

Reprimanded

## 
## Call:
## glm(formula = reprimanded ~ instigation_type, family = "binomial", 
##     data = vignracismclean)
## 
## Coefficients:
##                             Estimate Std. Error z value       Pr(>|z|)    
## (Intercept)                   -1.619      0.239   -6.78 0.000000000012 ***
## instigation_typetraditional    1.262      0.303    4.17 0.000030833131 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 293.82  on 245  degrees of freedom
## Residual deviance: 275.15  on 244  degrees of freedom
## AIC: 279.1
## 
## Number of Fisher Scoring iterations: 4

Jeff uncivil

## 
## Call:
## glm(formula = jeffuncivil ~ instigation_type, family = "binomial", 
##     data = vignracismclean)
## 
## Coefficients:
##                             Estimate Std. Error z value       Pr(>|z|)    
## (Intercept)                   -1.563      0.234   -6.67 0.000000000026 ***
## instigation_typetraditional    0.920      0.304    3.03         0.0025 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 279.92  on 245  degrees of freedom
## Residual deviance: 270.36  on 244  degrees of freedom
## AIC: 274.4
## 
## Number of Fisher Scoring iterations: 4

Paul uncivil

## 
## Call:
## glm(formula = pauluncivil ~ instigation_type, family = "binomial", 
##     data = vignracismclean)
## 
## Coefficients:
##                             Estimate Std. Error z value Pr(>|z|)    
## (Intercept)                    0.851      0.194    4.39 0.000011 ***
## instigation_typetraditional   -0.318      0.271   -1.17     0.24    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 313.16  on 245  degrees of freedom
## Residual deviance: 311.79  on 244  degrees of freedom
## AIC: 315.8
## 
## Number of Fisher Scoring iterations: 4

Mediation

Midpoint analyses

Tables

Means/SDs/Correlations

Means/SDs

Correlations

Controls

Likert

  nfs nfs status status rewards rewards socreward socreward
Predictors B SE T-value df B SE T-value df B SE T-value df B SE T-value df B SE T-value df B SE T-value df B SE T-value df B SE T-value df
(Intercept) 4.49 *** 0.14 31.90 244.00 1.74 ** 0.67 2.61 234.00 0.81 *** 0.14 5.92 244.00 -1.49 * 0.65 -2.29 234.00 0.63 *** 0.13 4.84 244.00 -1.71 ** 0.61 -2.78 234.00 0.70 *** 0.13 5.19 244.00 -0.94 0.64 -1.47 234.00
age 0.01 0.01 0.79 234.00 0.01 0.01 0.98 234.00 0.01 0.01 0.98 234.00 -0.00 0.01 -0.16 234.00
prejudice Reference Reference Reference Reference Reference Reference Reference Reference
traditional -1.63 *** 0.20 -8.07 244.00 -1.23 *** 0.21 -5.92 234.00 -1.21 *** 0.20 -6.10 244.00 -0.71 *** 0.20 -3.52 234.00 -0.93 *** 0.19 -4.95 244.00 -0.41 * 0.19 -2.16 234.00 -1.06 *** 0.19 -5.48 244.00 -0.57 ** 0.20 -2.87 234.00
learn1 0.09 0.06 1.59 234.00 -0.04 0.06 -0.76 234.00 0.04 0.05 0.67 234.00 0.02 0.06 0.32 234.00
learn2 0.10 0.06 1.58 234.00 0.05 0.06 0.82 234.00 0.03 0.06 0.47 234.00 0.03 0.06 0.42 234.00
learn3 0.30 *** 0.07 4.63 234.00 0.20 ** 0.06 3.19 234.00 0.27 *** 0.06 4.43 234.00 0.24 *** 0.06 3.86 234.00
White Reference Reference Reference Reference Reference Reference Reference Reference
Traditionally
Marginalized 		0.52 0.38 1.35 234.00 0.97 ** 0.37 2.60 234.00 0.47 0.35 1.34 234.00 0.41 0.37 1.12 234.00
Multiracial 0.56 0.46 1.23 234.00 1.03 * 0.45 2.31 234.00 0.25 0.42 0.60 234.00 0.16 0.44 0.36 234.00
Asian 0.54 0.42 1.31 234.00 1.05 * 0.41 2.59 234.00 0.43 0.38 1.14 234.00 0.59 0.40 1.49 234.00
rudeness1 -0.13 0.08 -1.78 234.00 -0.21 ** 0.07 -2.85 234.00 -0.26 *** 0.07 -3.74 234.00 -0.19 ** 0.07 -2.69 234.00
rudeness2 0.27 *** 0.06 4.55 234.00 0.31 *** 0.06 5.42 234.00 0.30 *** 0.05 5.43 234.00 0.31 *** 0.06 5.44 234.00
Observations 246 245 246 245 246 245 246 245
R2 / R2 adjusted 0.211 / 0.207 0.379 / 0.352 0.132 / 0.129 0.321 / 0.292 0.091 / 0.087 0.303 / 0.273 0.110 / 0.106 0.293 / 0.263
  • p<0.05   ** p<0.01   *** p<0.001

Binary

  reprimanded reprimanded jeffuncivil jeffuncivil pauluncivil pauluncivil
Predictors B SE T-value df B SE T-value df B SE T-value df B SE T-value df B SE T-value df B SE T-value df
(Intercept) 0.20 *** 0.05 -6.78 Inf 0.56 0.65 -0.50 Inf 0.21 *** 0.05 -6.67 Inf 5.52 6.41 1.47 Inf 2.34 *** 0.45 4.39 Inf 0.13 0.14 -1.89 Inf
age 0.98 0.02 -1.09 Inf 0.98 0.02 -1.46 Inf 0.99 0.01 -0.90 Inf
prejudice Reference Reference Reference Reference Reference Reference
traditional 3.53 *** 1.07 4.17 Inf 1.85 0.64 1.78 Inf 2.51 ** 0.76 3.03 Inf 1.30 0.47 0.74 Inf 0.73 0.20 -1.17 Inf 0.81 0.28 -0.61 Inf
learn1 1.10 0.11 0.95 Inf 1.02 0.11 0.18 Inf 1.22 * 0.12 2.13 Inf
learn2 1.13 0.12 1.12 Inf 1.10 0.12 0.88 Inf 1.26 * 0.14 2.08 Inf
learn3 0.87 0.10 -1.17 Inf 0.69 ** 0.09 -2.83 Inf 0.77 * 0.08 -2.49 Inf
White Reference Reference Reference Reference Reference Reference
Traditionally
Marginalized 		0.67 0.42 -0.64 Inf 0.32 0.20 -1.81 Inf 6.80 ** 4.39 2.97 Inf
Multiracial 0.45 0.35 -1.02 Inf 0.36 0.27 -1.34 Inf 3.45 2.55 1.67 Inf
Asian 0.79 0.53 -0.35 Inf 0.45 0.30 -1.20 Inf 5.01 * 3.43 2.35 Inf
rudeness1 1.50 ** 0.19 3.16 Inf 1.66 *** 0.23 3.71 Inf 0.66 *** 0.08 -3.45 Inf
rudeness2 0.56 *** 0.07 -4.41 Inf 0.61 *** 0.08 -3.78 Inf 0.97 0.10 -0.28 Inf
Observations 246 245 246 245 246 245
R2 Tjur 0.074 0.211 0.038 0.196 0.006 0.185
  • p<0.05   ** p<0.01   *** p<0.001