Study Information
Dataset description | Description in R | # of Observations |
---|---|---|
Raw dataset | full_data_raw | 390 |
Raw dataset w/ gender-diverse pairs | full_data_raw_gender_diverse | 65 |
Dataset filtered on 1 nearest attn check | full_data_nattn | 178 |
Dataset filtered on 1 nearest attn check and gender-diverse pairs | full_data_nattn_gender_diverse | 46 |
Dataset filtered on all three attention checks | full_data_fullclean | 166 |
Dataset filtered on all three attention checks and gender-diverse pairs | full_data_fullclean_gender_diverse | 43 |
Measures
Key
Measure | Rater | Rated | Description in R |
---|---|---|---|
Supervisor-rated Voice Quality | Supervisor | Focal Employee/Coworker | supervisor_voice_quality |
Supervisor-rated Employee’s Needs Supply Fit | Supervisor | Focal Employee/Coworker | supervisor_needs_supply |
Supervisor-rated Employee’s Demands-Abilities Fit | Supervisor | Focal Employee/Coworker | supervisor_demands_abilities |
Employee’s ratings of Supervisor’s Voice Solicitation | Focal Employee/Coworker | Supervisor | self_voice |
Employee’s self ratings of voice quality | Focal Employee/Coworker | Focal Employee/Coworker | self_voice_quality |
Employee’s self ratings of Demands-Abilities Fit | Focal Employee/Coworker | Focal Employee/Coworker | self_demands_abilities |
Employee’s self ratings of Needs-Supplies Fit | Focal Employee/Coworker | Focal Employee/Coworker | self_needs_supply |
Employee’s self ratings of expertise | Focal Employee/Coworker | Focal Employee/Coworker | self_expertise |
Supervisor Gender | Supervisor | s_gender_f | |
Employee Gender | Focal Employee/Coworker | employee_gender_f |
Items
All items will be measured on a scale from 1 (Not at all) to 7 (Very much so).
Supervisor-rated Items.
Supervisor-rated Voice Quality.
To what extent do you agree or disagree with the following statements in
regard to (Focal employee/Coworker)’s ability to address sexism in the
workplace?
1. They can offer useful ideas.
2. Their ideas will likely have a lot of value for improving sexism.
Supervisor-rated Employee’s Needs Supply Fit.
To what extent do you agree or disagree with the following statements in
regard to (Focal employee/Coworker)?
1. There is a good fit between what addressing sexism at our
organization offers (Focal employee/Coworker) and what (Focal
employee/Coworker) is looking for in a job.
2. The attributes that (Focal employee/Coworker) looks for in a job are
fulfilled very well by addressing sexism at our organization.
3. Addressing sexism at our organization gives (Focal
employee/Coworker)much of what they want from a job.
Supervisor-rated Employee’s Demands Abilities Fit.
To what extent do you agree or disagree with the following statements in
regard to (Focal employee/Coworker)’s ability to address sexism in the
workplace?
1. There is a good match between addressing sexism and (Focal
employee/Coworker)’s personal skills.
2. (Focal employee/Coworker)’s abilities are a good fit with the
requirements of addressing sexism.
3. (Focal employee/Coworker)’s personal abilities provide a good match
with the demands of addressing sexism.
Employee-rated Items.
Employee’s Ratings of Supervisor’s Voice Solicitation.
In terms of your supervisor, to what extent do you agree with the
following statements?
They would personally come to me to ask about…
1. things that I think would be helpful for reducing sexism, or
improving gender equality, in this organization.
2. how I have previously addressed sexism at work.
3. knowledge related to sexism.
4. what skills I have that they may not know about that might contribute
to reducing sexism or improving gender equality in this
organization.
Employee-rated Employee’s Needs Supply Fit.
To what extent do you agree with the following statements:
1. There is a good fit between what addressing sexism at my organization
offers for me and what I am looking for in a job.
2. The attributes that I look for in a job are fulfilled very well by
addressing sexism at our organization.
3. Addressing sexism at our organization gives me just about everything
that I want from a job.
Employee-rated Employee’s Demands Abilities Fit.
To what extent do you agree with the following statements?
1. There is a good match between addressing sexism at my organization
and my personal skills
2. My abilities are a good fit with the requirements of addressing
sexism
3. My personal abilities provide a good match with the demands of
addressing sexism.
Employee-rated Voice Quality.
To what extent do you agree or disagree with the following statements in
regard to your ability to address sexism in the workplace?
1. I can offer useful ideas.
2. My ideas will likely have a lot of value for improving sexism.
Employee-rated Expertise.
Do you have formal education in implementing any of the following (1 =
None at all, 4 = Some, 7 = Very much):
1. Planning or implementing anti-sexism trainings.
2. Planning or implementing programs or policies that enhance gender
equality.
3. Confronting sexist behaviors.
Analyses
Does employee gender predict our DVs?
Note: For all of these analyses, the reference level is “woman”. So the coefficient estimates compare if the employee is a man relative to the woman.
Raw Data
Raw Data Filtered for Gender Diverse Pairs
Nearest Attention Check Data
Nearest Attention Check Data With Gender Diversity
Full Attention Check Data
Full Attention Check Data W/ Gender Diverse Pair
Does gender diversity moderate our results?
Note: The below analyses specify whether the focal-employee/coworker pair is gender diverse (1) or not (0) as the moderator. I include the graphs in the following section so that it is easier to compare consistent results across analyses.
Overall Analyses
Raw Data
Nearest Attention Check
Full Attention Check
Graphs
Raw Data: The pair’s gender diversity moderated the employee’s self-rated voice quality and self-rated needs-supply fit.
Self-rated Voice Quality
Self-rated Needs-Supply Fit
Nearest Attention check: the pair’s gender diversity moderated the employee’s self-rated voice quality and self-rated needs-supply fit.
Self-rated Voice Quality
Self-rated Needs-Supply Fit
Full Attention Check: the pair’s gender diversity moderated the employee’s self-rated voice quality. There was a marginal moderation on the employee’s self-rated needs-supply fit and self-rated expertise.
Self-rated Voice Quality
Self-rated Needs-Supply Fit
Self-rated Expertise
Does supervisor gender moderate our results?
Note: The below analyses specifies the supervisor’s gender as the moderator. I include the graphs in the following section so that it is easier to compare consistent results across analyses.
Raw Data
Raw Data Filtered for Gender Diverse Pairs
Nearest Attention Check
Nearest Attention Check with gender diverse pairs
Full Attention Check
Full Attention Check With Gender Diverse Pairs
Graphs
Men with female supervisors rated themselves as having higher voice quality than men with male sueprvisors or women!
Full data raw
Full data filtered for gender-diverse pairs
Filtered on nearest attention check
Filtered on nearest attention check, and with gender-diverse pairs
Filtered on all attention checks
Filtered on nearest attention check, and with gender-diverse pairs
Moderation Analyses Across DVs
I included graphs in the section below. I did not include graphs, here, so that it would be easier to see which moderation results were consistent across analyses.
Raw Data
Raw Data with Gender Diverse Pairs
Nearest Attention Check Data
Nearest Attention Check Data with Gender Diverse Pairs
Full Attention Check
Full Attention Check with Gender Diverse Pairs
Graphs
Raw Data
Participants with higher levels of self-reported demands abilities believed they had higher needs-supply fit. It looks like there is a stronger relationship with men, relative to women.
Raw Data with Gender Diverse Pairs
Participants with higher levels of self-reported voice quality believed they had higher demands-abilities fit. It looks like there is a stronger relationship with women, relative to men.
Participants with higher levels of self-reported expertise believed they had higher demands-abilities fit. It looks like there is a stronger relationship with women, relative to men.
Participants with higher levels of self-reported expertise believed they had higher voice quality It looks like there is a stronger relationship with women, relative to men.
Nearest Attention Check Data
Participants with higher levels of self-reported demands-abilities fit had higher self-rated expertise. It looks like there is a stronger relationship with women, relative to men.
Nearest Attention Check Data with Gender Diverse Pairs
Full Attention Check
Full Attention Check with Gender Diverse Pairs
Filtering on just male supervisors
Does employee gender predict our DVs?
Note: For all of these analyses, the reference level is “woman”. So the coefficient estimates compare if the employee is a man relative to the woman.
Raw Data
Raw Data Filtered for Gender Diverse Pairs
Nearest Attention Check Data
Nearest Attention Check Data With Gender Diversity
Full Attention Check Data
Full Attention Check Data W/ Gender Diverse Pair
Does gender diversity moderate our results?
Note: The below analyses specify whether the focal-employee/coworker pair is gender diverse (1) or not (0) as the moderator. I include the graphs in the following section so that it is easier to compare consistent results across analyses.