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In-group Bias and the Police: Evidence from Award Nominations
Last registered on May 27, 2020

Pre-Trial

Trial Information
General Information
Title
In-group Bias and the Police: Evidence from Award Nominations
RCT ID
AEARCTR-0005929
Initial registration date
May 26, 2020
Last updated
May 27, 2020 1:34 PM EDT
Location(s)

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Primary Investigator
Affiliation
Other Primary Investigator(s)
PI Affiliation
Additional Trial Information
Status
In development
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. 2020. "In-group Bias and the Police: Evidence from Award Nominations." AEA RCT Registry. May 27. https://doi.org/10.1257/rct.5929-2.0.
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
Not available
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
Duke University IRB
IRB Approval Date
2020-02-06
IRB Approval Number
2020-0338
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
Analysis Plan

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