The Black-White Recognition Gap in Award Nominations
Last registered on June 17, 2021

Pre-Trial

Trial Information
General Information
Title
The Black-White Recognition Gap in Award Nominations
RCT ID
AEARCTR-0005929
Initial registration date
May 26, 2020
Last updated
June 17, 2021 9:18 AM EDT
Location(s)
Region
Primary Investigator
Affiliation
Other Primary Investigator(s)
PI Affiliation
Additional Trial Information
Status
On going
Start date
2020-05-27
End date
2021-06-30
Secondary IDs
Abstract
This research study seeks to run an online experiment using Amazon Mechanical Turk workers to better understand the mechanisms through which racial and gender disparities may arise in career advancement. Specifically, we seek to understand how interactions between minority-groups and majority-groups may reduce racial disparities.
External Link(s)
Registration Citation
Citation
Kiss, Andrea and Nayoung Rim. 2021. "The Black-White Recognition Gap in Award Nominations." AEA RCT Registry. June 17. https://doi.org/10.1257/rct.5929-3.0.
Experimental Details
Interventions
Intervention(s)
This research study seeks to run an online experiment using Amazon Mechanical Turk workers to better understand the mechanisms through which racial and gender disparities may arise in career advancement. Specifically, we seek to understand how interactions between minority-groups and majority-groups may reduce racial disparities.
Intervention Start Date
2020-05-27
Intervention End Date
2021-06-30
Primary Outcomes
Primary Outcomes (end points)
The key outcome variables are the level of the interaction between participant and officer profile and whether participant nominated the officer for an award. Examples of the level of interaction are: rank order in which participant hovered over officer profiles; number of seconds participant spent on officer’s profile; and whether the participant ever hovered over the officer’s profile.
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
This research study seeks to run an online experiment using Amazon Mechanical Turk workers to better understand the mechanisms through which racial and gender disparities may arise in career advancement. Specifically, we seek to understand how interactions between minority-groups and majority-groups may reduce racial disparities.
Experimental Design Details
Participants will complete six tasks. The four tasks ask the participant to review randomly drawn officer profiles and choose one to nominate for an award. The last two tasks are surveys. One asks about their association with police officers. The second is a demographic survey.
Randomization Method
Randomization done by a computer.
Randomization Unit
Individual
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
0
Sample size: planned number of observations
600 participants
Sample size (or number of clusters) by treatment arms
600 participants
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
United States Naval Academy Human Research Protection Program
IRB Approval Date
2020-01-06
IRB Approval Number
USNA.2020.0009-IR-EM2-A
IRB Name
Duke University IRB
IRB Approval Date
2020-02-06
IRB Approval Number
2020-0338
Analysis Plan

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Post-Trial
Post Trial Information
Study Withdrawal
Intervention
Is the intervention completed?
No
Is data collection complete?
Data Publication
Data Publication
Is public data available?
No
Program Files
Program Files
Reports, Papers & Other Materials
Relevant Paper(s)
REPORTS & OTHER MATERIALS