Choice of incentives and learning outcomes

Last registered on October 17, 2023
View Trial History

Pre-Trial

Trial Information

General Information

Title
Choice of incentives and learning outcomes
RCT ID
AEARCTR-0012236
Initial registration date
October 04, 2023

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
October 17, 2023, 10:49 AM EDT

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

Locations

Country
United States of America
Region

Primary Investigator

Name
Yucheng Liang
Affiliation
Carnegie Mellon University
Contact Primary Investigator

Other Primary Investigator(s)

PI Name
Wenzhuo Xu
PI Affiliation
Carnegie Mellon University

Additional Trial Information

Status
In development
Start date
2023-10-05
End date
2023-12-10
Keywords
Behavior, Education
Additional Keywords
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
In this project, we allow students to choose their own incentive schemes and study how it affects learning outcomes.
External Link(s)

Registration Citation

Citation
Liang, Yucheng and Wenzhuo Xu. 2023. "Choice of incentives and learning outcomes." AEA RCT Registry. October 17. https://doi.org/10.1257/rct.12236-1.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2023-10-05
Intervention End Date
2023-12-10

Primary Outcomes

Primary Outcomes (end points)
Preference between the three types of incentives
Scores in the final exam
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Self-reported rationale for preference between the three types incentives
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
This project recruits students to participate in a data analysis short course and take an exam at the end. We present three types of incentives to students and elicit their preferences over the three types of incentives.
Experimental Design Details
Randomization Method
Randomization done through Qualtrics
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
200 individuals or the number of registered participants as of 12/10/2023, whichever is lower
Sample size: planned number of observations
200 individuals or the number of registered participants as of 12/10/2023, whichever is lower
Sample size (or number of clusters) by treatment arms
The three incentive schemes are uniformly randomly assigned to 90% of participants. The remaining participants are assigned an incentive scheme using a Becker-DeGroot-Marschak mechanism. For participants who are randomly assigned a flat incentive scheme, 1/3 receive a $1 flat pay and 2/3 receive a $6 flat pay.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
Carnegie Mellon University IRB
IRB Approval Date
2023-10-02
IRB Approval Number
STUDY2023_00000333
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