Perceptions of opportunities with public targeting

Last registered on November 15, 2024

View Trial History

Pre-Trial

Trial Information

General Information

Title

Perceptions of opportunities with public targeting

RCT ID

AEARCTR-0014736

Initial registration date

October 31, 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, 1:05 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

Completed

Start date

2024-10-21

End date

2024-11-08

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 of the opportunity offered. 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 how different social groups (females, low-middles social class, rural origins) feel about the invitation they received. Some are shown a course invitation that discloses that they would be invited to the program because of their
demographics, others are not. I focus on three measures for each social group: tokenisms, offense, judgement.

External Link(s)

Registration Citation

Citation

Munoz, Manuel. 2024. "Perceptions of opportunities with public targeting." AEA RCT Registry. November 15. https://doi.org/10.1257/rct.14736-1.0

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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 to the course that reveals that selection to the course is identity-based, in NoInfo this is not disclosed.

Intervention (Hidden)

Intervention Start Date

2024-10-21

Intervention End Date

2024-11-08

Primary Outcomes

Primary Outcomes (end points)

Beliefs of perceived tokenism
Beliefs of perceived offense
Beliefs of perceived judgement

Primary Outcomes (explanation)

Beliefs of perceived tokenism: How likely are students who receive an invitation to feel they are selected due to tokenism
Beliefs of perceived offense: How likely are students who receive an invitation to feel offended for being selected
Beliefs of perceived judgement: How likely are students who receive an invitation to feel judged by others if they accept their slot in the program

Secondary Outcomes

Secondary Outcomes (end points)

Secondary Outcomes (explanation)

Experimental Design

Two treatments: Info vs. No Info. This varies whether respondents are displayed a course invitation 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?

Experiment Characteristics

Sample size: planned number of clusters

1500 students were invited to participate.

Sample size: planned number of observations

1500 students were invited to participate. I expect about 340 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)

For my study, the minimum detectable eﬀect size (MDES) is calculated to be approximately 0.241 using Cohen's d as the unit of measurement. This calculation is based on a sample size of 300 participants per group, a standard deviation of 0.040, and assumes a power of 80% with a significance level (alpha) of 0.05. This eﬀect size represents the smallest detectable eﬀect that can be reliably identified in my study, ensuring it is adequately powered to detect meaningful diﬀerences in the main outcomes.

Supporting Documents and Materials

IRB