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
Last updated
December 07, 2018 10:26 AM EST
Location(s)

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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
Holland, Peter, 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
Not available
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)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
UC Merced IRB
IRB Approval Date
2018-10-16
IRB Approval Number
UCM2018-173