Overcoming Workplace Inequality: Interventions to Reduce Social Category Biases and Increase Inclusion in the Workplace
Last registered on April 12, 2019


Trial Information
General Information
Overcoming Workplace Inequality: Interventions to Reduce Social Category Biases and Increase Inclusion in the Workplace
Initial registration date
May 03, 2017
Last updated
April 12, 2019 4:58 PM EDT
Primary Investigator
Other Primary Investigator(s)
PI Affiliation
PI Affiliation
PI Affiliation
PI Affiliation
University of Pennsylvania
PI Affiliation
PI Affiliation
Additional Trial Information
Start date
End date
Secondary IDs
This research investigates ways to overcome gender bias and stereotyping (and ideally other biases such as those based on race) to create more inclusive work environments. To date, existing research has primarily focused on proving that bias exists and that it affects people’s outcomes. In order to reduce inequality, however, research must move beyond identifying biases and their consequences to identifying ways to overcome these biases and thereby make organizational cultures more inclusive. This is our goal. We examine whether a novel bias intervention we have designed leads to actual behavior change that can have a meaningful impact on addressing inclusivity in the workplace.
External Link(s)
Registration Citation
Chang, Edward et al. 2019. "Overcoming Workplace Inequality: Interventions to Reduce Social Category Biases and Increase Inclusion in the Workplace." AEA RCT Registry. April 12. https://www.socialscienceregistry.org/trials/2200/history/44927
Experimental Details
The intervention is an online training that can be completed in under one hour in one sitting.
Intervention Start Date
Intervention End Date
Primary Outcomes
Primary Outcomes (end points)
1) Behavioral measures of bias-reducing, inclusive behaviors
2) Engagement with the issue of workplace bias
3) Attitudinal change regarding bias
Primary Outcomes (explanation)
Please see outcomes explanation document.
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
Participants will be randomized into one of three conditions: gender-specific, general, or control.
Experimental Design Details
Participants were invited by their employer to take part in a training program with the goal of helping to create a more inclusive work environment. Participants were randomly assigned to one of our treatment conditions or a control condition. The primary treatment conditions vary whether participants were presented with information that is only about one form of social category bias (e.g., gender bias) or is about a number of different forms of social category bias (e.g., gender and racial bias). The control condition presented filler content that is relevant to the workplace (such as videos of talks about what predicts the success of individuals and groups in the workplace, and personalized feedback on a psychological scale) that matches the length and feel of the intervention in the treatment conditions. It takes participants about 60 minutes during one sitting to complete the intervention (or control) training and to complete initial dependent measures assessing their views on stereotypes, bias, and discrimination (including open-ended responses to workplace scenarios in which they share their ideas about how to promote inclusivity and overcome bias). Recruitment for this study began in early February, 2017, and continued through mid-March. Approximately 10,000 employees were invited to participate in the study and over 2,000 enrolled. At the end of the training, participants filled out attitudinal and survey measures. For the 12 weeks following the training, participants were texted up to once a week as a measure of engagement. Roughly one week after the recruitment period ended, participants were sent the voluntary follow-up survey measure from the research team. In early April, participants were sent an email from the partner organization regarding the creation of a new mentorship program and were encouraged to sign-up to connect with colleagues. At the end of April, participants were sent an email from the partner organization asking them to recognize and nominate colleagues for an award. In mid-May, participants will be asked to speak with a new male or female hire.
Randomization Method
Randomization is completed online via Qualtrics
Randomization Unit
Individual participants are the unit of randomization
Was the treatment clustered?
Experiment Characteristics
Sample size: planned number of clusters
Sample size: planned number of observations
We recruited as many participants as possible during our recruitment window of February 2, 2017 to March 16, 2017. We ended up recruiting over 2,000 participants.
Sample size (or number of clusters) by treatment arms
The participants were randomly assigned to one of three conditions. Roughly one third was assigned to the control condition, one third to the gender-specific condition, and one third to the general condition.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB Name
University of Pennsylvania Institutional Review Board
IRB Approval Date
IRB Approval Number
Analysis Plan
Analysis Plan Documents
Outcomes Explanation and Analysis Plan

MD5: 49a016d7bd07781843539b7c0c74ac50

SHA1: 5a9f44a0fb417314e0b37885e43a4e04765e3207

Uploaded At: May 03, 2017

Post Trial Information
Study Withdrawal
Is the intervention completed?
Is data collection complete?
Data Publication
Data Publication
Is public data available?
Program Files
Program Files
Reports and Papers
Preliminary Reports
Relevant Papers