25_11.24-OpenEndedVign

Demographic information

Raw

Gender

## gender_text
##              Man Non-binary/Other            Woman 
##               24               15               32

Race

## racef
## Multiracial       White 
##         221          86

Failed attention check

## filterout
## Exclude  Retain 
##      68      27

Clean

Gender

## gender_text
##              Man Non-binary/Other            Woman 
##               18                8                1

Race

## racef
##       White Multiracial 
##          19           2

Alphas

Need for significance

## Some items ( nfs1 nfs10 ) were negatively correlated with the first principal component and 
## probably should be reversed.  
## To do this, run the function again with the 'check.keys=TRUE' option

Status

Rewards

## Some items ( reward1 ) were negatively correlated with the first principal component and 
## probably should be reversed.  
## To do this, run the function again with the 'check.keys=TRUE' option

Social Rewards

Means + SDs

Analyses

Main effects

Binary

Reprimanded

## 
## Call:
## glm(formula = reprimanded ~ instigation_type, family = "binomial", 
##     data = vignsexismclean)
## 
## Coefficients:
##                             Estimate Std. Error z value Pr(>|z|)  
## (Intercept)                   -0.154      0.556   -0.28    0.782  
## instigation_typetraditional    2.719      1.177    2.31    0.021 *
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 32.815  on 26  degrees of freedom
## Residual deviance: 25.150  on 25  degrees of freedom
## AIC: 29.15
## 
## Number of Fisher Scoring iterations: 5

Jeff uncivil

## 
## Call:
## glm(formula = jeffuncivil ~ instigation_type, family = "binomial", 
##     data = vignsexismclean)
## 
## Coefficients:
##                             Estimate Std. Error z value Pr(>|z|)
## (Intercept)                   -0.154      0.556   -0.28     0.78
## instigation_typetraditional   -0.134      0.775   -0.17     0.86
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 37.096  on 26  degrees of freedom
## Residual deviance: 37.066  on 25  degrees of freedom
## AIC: 41.07
## 
## Number of Fisher Scoring iterations: 3

Paul uncivil

## 
## Call:
## glm(formula = pauluncivil ~ instigation_type, family = "binomial", 
##     data = vignsexismclean)
## 
## Coefficients:
##                             Estimate Std. Error z value Pr(>|z|)
## (Intercept)                    -19.6     2982.6   -0.01     0.99
## instigation_typetraditional     19.6     2982.6    0.01     0.99
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 30.903  on 26  degrees of freedom
## Residual deviance: 19.408  on 25  degrees of freedom
## AIC: 23.41
## 
## Number of Fisher Scoring iterations: 18

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) 3.95 *** 0.13 29.78 25.00 4.07 *** 0.00 7116401373436614.00 15.00 1.23 *** 0.23 5.30 25.00 -0.47 *** 0.00 -320670549921705.00 15.00 0.38 0.25 1.52 25.00 1.21 *** 0.00 858193121217901.50 15.00 -0.74 0.37 -2.02 25.00 3.24 *** 0.00 988238519897797.12 15.00
age 0.00 0.00 0.29 15.00 0.04 *** 0.00 1354482511067999.75 15.00 -0.01 *** 0.00 -422942159273226.62 15.00 -0.09 *** 0.00 -1454156665881970.00 15.00
prejudice Reference Reference Reference Reference Reference Reference Reference Reference
traditional -0.10 0.18 -0.52 25.00 -0.13 *** 0.00 -386683593260782.31 15.00 -1.68 *** 0.32 -5.22 25.00 -2.42 *** 0.00 -2914949865883181.50 15.00 1.40 *** 0.35 3.98 25.00 1.60 *** 0.00 2007902865513962.25 15.00 1.55 ** 0.51 3.04 25.00 5.39 *** 0.00 2904807405717441.00 15.00
White Reference Reference Reference Reference Reference Reference Reference Reference
Multiracial 0.20 *** 0.00 564893276914894.38 15.00 0.41 *** 0.00 446568946783222.06 15.00 -2.52 *** 0.00 -2888458011049486.00 15.00 -1.17 *** 0.00 -577885852646672.50 15.00
rudeness1 0.11 *** 0.00 741226365890144.12 15.00 0.28 *** 0.00 752154798782836.75 15.00 -0.08 *** 0.00 -217181108070492.41 15.00 0.41 *** 0.00 494502978727134.31 15.00
rudeness2 0.13 *** 0.00 1482438649994160.00 15.00 -0.97 *** 0.00 -4495159367662098.50 15.00 0.62 *** 0.00 2966704194451054.50 15.00 -0.32 *** 0.00 -651548292446027.88 15.00
Observations 27 21 27 21 27 21 27 21
R2 / R2 adjusted 0.011 / -0.029 1.000 / 1.000 0.521 / 0.502 1.000 / 1.000 0.387 / 0.363 1.000 / 1.000 0.270 / 0.241 1.000 / 1.000
  • 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) 0.86 0.48 -0.28 Inf 6518876271517173284864.00 2565058045941580152648499200.00 0.00 Inf 0.86 0.48 -0.28 Inf 0.00 1.10 -0.00 Inf 0.00 0.00 -0.01 Inf 0.00 0.00 -0.00 Inf
age 0.33 2360.13 -0.00 Inf 1.00 7172.73 0.00 Inf 3.04 21798.80 0.00 Inf
prejudice Reference Reference Reference Reference Reference Reference
traditional 15.17 * 17.86 2.31 Inf 167272695910665008976749974781952.00 37213733690729362980079293765104173056.00 0.00 Inf 0.88 0.68 -0.17 Inf 1.00 222473.43 -0.00 Inf 314366015.19 937636439263.18 0.01 Inf 0.00 0.00 -0.00 Inf
White Reference Reference Reference Reference Reference Reference
Multiracial 0.00 0.00 -0.00 Inf 1.00 243661.81 -0.00 Inf 148559751194609495048192.00 36198349097569334619556282368.00 0.00 Inf
rudeness1 5.68 560267.78 0.00 Inf 0.00 0.28 -0.00 Inf 0.00 0.05 -0.00 Inf
rudeness2 0.43 25211.37 -0.00 Inf 1.00 58030.61 0.00 Inf 2.30 133572.83 0.00 Inf
Observations 27 21 27 21 27 21
R2 Tjur 0.261 1.000 0.001 1.000 0.325 1.000
  • p<0.05   ** p<0.01   *** p<0.001