Faculty support with public targeting

Last registered on November 15, 2024
View Trial History

Pre-Trial

Trial Information

General Information

Title
Faculty support with public targeting
RCT ID
AEARCTR-0014810
Initial registration date
November 11, 2024

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
November 15, 2024, 1:46 PM EST

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Country
Colombia
Region
Bucaramanga

Primary Investigator

Name
Manuel Munoz
Affiliation
Luxembourg Institute of Socio-Economic Research
Contact Primary Investigator

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2024-11-11
End date
2024-11-25
Keywords
Behavior, Education
Additional Keywords
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
I investigate in an experimental survey, whether publicly informing individuals from disadvantaged groups that their selection for a beneficial opportunity, such as an educational program, is based on their group identity, affects their perceptions about the support they can receive from university faculty to participate in the program. In a lab-in-the-field experiment in collaboration with a Colombian university, I present information of the international program to students from different social groups and ask them to indicate the support they would get from faculty at their university if they required an endorsement from them to register to the program. Some are shown a course invitation and endorsement message that discloses that they would be invited to the program because of their demographics, others are not.
External Link(s)

Registration Citation

Citation
Munoz, Manuel. 2024. "Faculty support with public targeting." AEA RCT Registry. November 15. https://doi.org/10.1257/rct.14810-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
Participants are randomly assigned to one of two conditions: Info vs. NoInfo. In Info participants are displayed an invitation and an endorsement to the course that reveals that selection to the course is identity-based, in NoInfo this is not disclosed.
Intervention (Hidden)
Intervention Start Date
2024-11-11
Intervention End Date
2024-11-25

Primary Outcomes

Primary Outcomes (end points)
Likelihood of endorsement
Anticipation of judgement
Anticipation of retaliation
Primary Outcomes (explanation)
Likelihood of endorsement: Probability that the faculty to whom the endorsement was requested will send it
Anticipation of judgement: Belief that the faculty member would judge the student for receiving a slot in the program
Anticipation of retaliation: Belief that the faculty member would retaliate against (treat bad or negatively) the student for requesting the endorsement

Secondary Outcomes

Secondary Outcomes (end points)
Characteristics of the faculty
Secondary Outcomes (explanation)
Characteristics of the faculty: I ask for the name of the faculty the student would request an endorsement from. I can trace back gender and other characteristics of the faculty member from this nomination, using administrative records.

Experimental Design

Experimental Design
Two treatments: Info vs. No Info. This varies whether respondents are displayed a course invitation and endorsement message that reveals that selection to the international program is identity-based or not.
Experimental Design Details
Randomization Method
Participants are asked for their gender and social class at the beginning of the survey. These two variables are used to stratify the randomization of participants into treatments. This is done by Qualtrics as participants complete a demographics questionnaire at the beginning of the survey.
Randomization Unit
Randomization is at the individual level
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
900 students were invited to participate
Sample size: planned number of observations
900 students were invited to participate. I expect about 100 participants per treatment.
Sample size (or number of clusters) by treatment arms
The program in Qualtrics is designed to assign 50% of participants into each treatment.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
Universidad Autonoma de Bucaramanga
IRB Approval Date
2024-11-08
IRB Approval Number
N/A
Analysis Plan

Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
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