An Evaluation of Teacher Screening

Last registered on December 07, 2018

Pre-Trial

Trial Information

General Information

Title
An Evaluation of Teacher Screening
RCT ID
AEARCTR-0003583
Initial registration date
November 21, 2018

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 21, 2018, 1:03 PM EST

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

Last updated
December 07, 2018, 10:26 AM EST

Last updated is the most recent time when changes to the trial's registration were published.

Locations

Region

Primary Investigator

Affiliation
UC Merced

Other Primary Investigator(s)

PI Affiliation
World Bank
PI Affiliation
UC Berkleey

Additional Trial Information

Status
In development
Start date
2018-11-29
End date
2020-11-20
Secondary IDs
Abstract
Teachers in developing countries have low levels of knowledge of their course material, have less education and training, spend less time on instruction, and have high levels of absence relative to their developed country counterparts. Can we identify and select better teachers to improve the delivery of education? Using a cluster randomized controlled trial, we propose to evaluate the introduction of a teacher entrance exam designed to increase the content-knowledge of primary school teachers in Madagascar.
External Link(s)

Registration Citation

Citation
, , Aprajit Mahajan and Ketki Sheth. 2018. "An Evaluation of Teacher Screening." AEA RCT Registry. December 07. https://doi.org/10.1257/rct.3583
Former Citation
, , Aprajit Mahajan and Ketki Sheth. 2018. "An Evaluation of Teacher Screening." AEA RCT Registry. December 07. https://www.socialscienceregistry.org/trials/3583/history/38563
Experimental Details

Interventions

Intervention(s)
Using a cluster randomized controlled trial, we propose to evaluate the introduction of a teacher entrance exam designed to increase the content-knowledge of primary school teachers in Madagascar. In treatment areas, teacher hiring will be based on a formula that prioritizes the results of an entrance exam. In control areas, teacher hiring will be decentralized and entrance exam results will not be released.
Intervention Start Date
2018-11-30
Intervention End Date
2018-12-31

Primary Outcomes

Primary Outcomes (end points)
Teacher characteristics: content-based knowledge, qualifications and demographics, prosocial preferences and attitudes, social connections with school administrators, and career aspirations and outside options.
Student Learning
Primary Outcomes (explanation)
The content-based knowledge of teachers is measured by their total correct responses to a content-based entrance exam. The remaining teacher characteristic measurements are described in an attached document. Student learning will be measured using test scores.

Secondary Outcomes

Secondary Outcomes (end points)
Teacher Effort: teacher attendance, classroom attendance, and time spent teaching
Secondary Outcomes (explanation)
Measures will be based on a surprise visit to the teacher's classroom.

Experimental Design

Experimental Design
We implement a cluster-randomized controlled trial in which randomly assigned sub-districts (ZAPs), stratified by districts (CISCO), will be assigned to treatment. Treatment is defined as being subject to the intervention of using the entrance exam for hiring decisions.
Experimental Design Details
Randomization Method
Randomization done in an office by a computer (STATA).
Randomization Unit
sub-districts (ZAPs)
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
127 sub-districts
Sample size: planned number of observations
We expect 19 teacher openings per sub-district. Assuming 3 applicants per opening, our expected sample size if 7,239 applicants. For learning outcomes, assuming 35 students per teacher hired, our expected sample size is 84,455 students.
Sample size (or number of clusters) by treatment arms
64 sub-districts treatment,
63 sub-districts control
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information
IRB

Institutional Review Boards (IRBs)

IRB Name
UC Merced IRB
IRB Approval Date
2018-10-16
IRB Approval Number
UCM2018-173
Analysis Plan

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information

Post-Trial

Post Trial Information

Study Withdrawal

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information

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