Improving registration and completion rates of a distance learning Football for Development (F4D) program

Last registered on November 21, 2021

Pre-Trial

Trial Information

General Information

Title
Improving registration and completion rates of a distance learning Football for Development (F4D) program
RCT ID
AEARCTR-0008580
Initial registration date
November 18, 2021
Last updated
November 21, 2021, 4:10 PM EST

Locations

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Primary Investigator

Affiliation
B4Development Foundation

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2021-11-18
End date
2022-03-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
The experiment aims to test whether automatic enrolment of potential participants to the distance learning course (DLC) with an option to opt-out will increase the enrolment rates compared to self-enrollment condition. In addition, the experiment seeks to assess if participants who self-enroll into the course will perform better than the ones who were automatically enrolled. To measure the impact of the proposed intervention, the data on the number of participants registered for the course and the number of participants that successfully completed the course will be recorded.
External Link(s)

Registration Citation

Citation
Makki, Fadi. 2021. "Improving registration and completion rates of a distance learning Football for Development (F4D) program." AEA RCT Registry. November 21. https://doi.org/10.1257/rct.8580-1.0
Experimental Details

Interventions

Intervention(s)
The experiment aims to test whether automatic enrolment of potential participants to the distance learning course (DLC) with an option to opt-out will increase the enrolment rates compared to self-enrollment condition. In addition, the experiment seeks to assess if participants who self-enroll into the course will perform better than the ones who were automatically enrolled.
Intervention Start Date
2021-11-18
Intervention End Date
2022-01-31

Primary Outcomes

Primary Outcomes (end points)
Total number of participants enrolled in the course
Primary Outcomes (explanation)
This variable will assess how many participants from both conditions enrolled in the DLC.

Secondary Outcomes

Secondary Outcomes (end points)
Total number of participants who successfully completed four mandatory units on time
Secondary Outcomes (explanation)
This variable will assess the number of participants who successfully completed the four mandatory units of the course on time.

Experimental Design

Experimental Design
To maximize the number of participants enrolled in the DLC, an intervention will be conducted whereby potential participants will be sent email message informing them that they 1) are now enrolled into the DLC or 2) that they are eligible to sign up and enrol into DLC. Besides presenting the details of the course, the email will also state that they can opt-out of participating in DLC if they do not wish to attend.

To encourage participants to sign up but also to successfully complete their course on time, along with the email, they will receive a pre-filmed video of a famous footballer congratulating them on the enrolment or inviting them to enrol and notifying them about the chance to win a one-on-one session with a famous footballer if they complete the mandatory units within the certain deadline.

Treatment A
All participants assigned to this condition will receive an email inviting them to sign up for the DLC. The email will contain course description and a video of a famous footballer inviting them to sign up.

Treatment B
All coaches and workers advocates assigned to this condition will receive an email notifying them that they are now enrolled into the DLC and that they can sign out if they do not wish to attend. The email will contain course description and a video of a famous footballer congratulating them on the enrolment.
Experimental Design Details
Not available
Randomization Method
Randomization done in office by a computer
Randomization Unit
The study will follow the A/B testing randomized control trial design whereby the participants (football coaches and workers advocates) will be randomly assigned to one of the two treatment groups. As workers advocates and coaches differ by their role, those two groups will be randomized separately.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
NA
Sample size: planned number of observations
70 individuals
Sample size (or number of clusters) by treatment arms
35 Treatment A, 35 Treatment B
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Power- 0.8 β-0.2 α-0.05 Group 1- 70% Group 2- 95%
IRB

Institutional Review Boards (IRBs)

IRB Name
Solutions IRB
IRB Approval Date
2021-11-17
IRB Approval Number
IORG0007116