Design
Participants read an email exchange where a man (Paul) said something [sexist/generally rude]: “No idea, but it’s a leadership position so I doubt very many women will apply. And the women who do apply probably won’t be very strong.” And then another man (Jeff) responded: “Shut up, Paul. No one wants to hear what you have to say.”
Manipulations
Over the course of an email exchange, a coworker (Paul) says
something rude about:
- Sexism: the other women in your workplace.
- General: the other analysts in your workplace.
Items
Status
To what extent do you agree with the following statements?
| Item label | Item text | - 3 | 0 | 3 |
|---|---|---|---|---|
| posstat1 | After his response back to Paul, I think Jeff is worthy of…: | -3. A lot of disrespect | 0. Neither disrespect nor respect | 3. A lot of respect |
| posstat2 | After his response back to Paul, I hold Jeff… | -3. In very low regard | 0. In neither low regard nor high regard | 3. In very high regard |
| posstat3 | After his response back to Paul, in terms of being like Jeff…: | -3. I want to be very different from him | -3. A lot of disrespect | 0. I don’t want to be like him, or different from him |
Rewards
Do you think that Jeff should experience any of the following changes after his response to Paul?
| Item label | Item text | - 3 | 0 | 3 |
|---|---|---|---|---|
| reward1 | change in his salary: | -3. should definitely be decreased | 0. would keep the same | 3. should definitely be increased |
| reward2 | change in his job rank: | -3. should definitely be demoted | 0. would keep the same | 3. should definitely be promoted |
| reward3 | change in visibility of his project assignments: | -3. Should be assigned to projects with very low visibility | 0. Should remain on projects with the same visibility as before | 3. Should be assigned to projects with high visibility |
| reward4 | change in his public recognition: | -3. Should definitely be decreased | 0. Should be kept the same | 3. Should definitely be increased |
Perceptions of Paul
When Jeff responded to Paul, did you feel…
| My coding | Text |
|---|---|
| jeff_concerned | Jeff is concerned about the needs and interests of women |
| jeff_goals | the goals and aspirations of women are important to Jeff |
| jeff_desires | Jeff considers womens’ wishes and desires to be relevant |
| empowered | |
| protected | |
| safe | |
| comfortable | |
| motivated | |
| disruptive | this will be disruptive to your team’s functioning |
| harder | this will make it harder for you and your teammates to get along |
| badvibes | there will be bad vibes in your team |
| protectwomen | Jeff wants to protect women in your workplace |
| stiflesexism | Jeff wants to stifle sexism in your group |
| punishsexist | Jeff wants to punish sexist colleagues |
| womenworkplace | women’s workplace experiences are important to Jeff |
| wellbeingimp | women’s well-being is important to Jeff |
deter/learn uncivil
When Jeff responded to Paul, did you think that Paul… (1 = not at all, 4 = somewhat, 7 = very much so)
- learnuncivil1: would be uncivil in the future?
- learnuncivil2: feel intimidated?
- learnuncivil3: learned his lesson?
Analyses
Midpoint analyses
Main effects
##
## Call:
## glm(formula = reprimanded ~ instigation_type, family = "binomial",
## data = uncivprej3_clean)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -1.258 0.210 -5.98 0.0000000023 ***
## instigation_typetraditional 0.903 0.275 3.28 0.001 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 327.20 on 261 degrees of freedom
## Residual deviance: 316.05 on 260 degrees of freedom
## AIC: 320
##
## Number of Fisher Scoring iterations: 4
##
## Call:
## glm(formula = stayonteam ~ instigation_type, family = "binomial",
## data = uncivprej3_clean)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.214 0.208 5.84 0.0000000053 ***
## instigation_typetraditional -0.859 0.273 -3.14 0.0017 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 328.72 on 261 degrees of freedom
## Residual deviance: 318.52 on 260 degrees of freedom
## AIC: 322.5
##
## Number of Fisher Scoring iterations: 4
Moderation
an asterix means that it reached p > .10 level. Used this benchmark because we are otherwise underpowered for moderation.
Graphs (DV ~ Moderator)
Status ~ learn_1
Status ~ learn_2
jeff_concerned ~ learn_1
jeff_concerned ~ learn_2
protected ~ learn_2
Empowered ~ Gender ID
Punishsexist ~ Gender ID
Reprimanded ~ rudeness_1
#### Reprimanded ~ rudeness_2
Social Rewards