Managerial vs Human Capital Training

Last registered on April 05, 2021

Pre-Trial

Trial Information

General Information

Title
Managerial vs Human Capital Training
RCT ID
AEARCTR-0005474
Initial registration date
February 18, 2020

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
February 18, 2020, 2:21 PM EST

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

Last updated
April 05, 2021, 7:10 PM EDT

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

Locations

Region

Primary Investigator

Affiliation
UC Berkeley

Other Primary Investigator(s)

Additional Trial Information

Status
Withdrawn
Start date
2020-01-01
End date
2021-02-28
Secondary IDs
Abstract
This project evaluates training for managers versus front line workers in the context of the low-cost private school sector in Pakistan.
External Link(s)

Registration Citation

Citation
Macdonald, Isabel. 2021. "Managerial vs Human Capital Training." AEA RCT Registry. April 05. https://doi.org/10.1257/rct.5474-1.1
Experimental Details

Interventions

Intervention(s)
The intervention includes teacher and school owner training aimed at low cost private schools.
Intervention (Hidden)
Both trainings consist of a one-day workshop delivered by training personnel from the microfinance institution. Teacher training is delivered in groups and school owner training is delivered individually due to scheduling constraints.

The topics covered by each training are listed below.

School owner (manager): Goal setting, financial management and record keeping, personnel management, marketing, child-centered schools, health and safety risk management

Teacher (worker): Learning styles, pedagogy, classroom management, assessment, lesson planning
Intervention Start Date
2020-02-21
Intervention End Date
2020-09-30

Primary Outcomes

Primary Outcomes (end points)
School revenue, school enrollment
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Outcomes to assess school growth:
• School fees and fee collection
• Assets including toilets, library, computers, desks, chairs, science labs, water cooler, generator, fans, playground, and boundary wall
• Investment amount and type
• Interest in future borrowing (self-reported)
• Student drop-out rates
• Quality indicators for management from business assessment
• School closures, which is likely to be low due to solvency and school age requirements to receive loan (prerequisite to enter sample)
• School expenses (self-reported)
• Proportion owner income from school vs other sources
Other outcomes:
• Teaching and learning quality indicators
• Teacher wages
• Teacher turnover
• Teacher learning on pre/post training survey
Secondary Outcomes (explanation)
• Management and learning quality indicators assessed as a checklist

Experimental Design

Experimental Design
Schools are randomly assigned to receive worker (teacher) training, manager (school owner) training, both trainings, or no trainings.
Experimental Design Details
Sample: Participants in the study include school owners and teachers from approximately 200 schools across Pakistan. Schools enter the sample if the owners are first-time borrowers with a national microfinance bank that also provides training. Repeat borrowers are excluded as they may have already received training. To qualify for the loan, borrowers must be the owner of a low-cost private school (LCPS) and must meet certain benchmarks for enrollment, revenue, and years of operation to ensure only reputable schools are included

Randomization: Schools are randomized into four treatment groups:
• T1: Receive both manager (school owner) and worker (teacher) training
• T2: Receive manager (school owner) training only
• T3: Receive worker (teacher) training only
• T4: Receive no training (control)
Randomization Method
Randomization using Stata
Randomization Unit
Randomization is stratified on urban vs. rural location due to differences in the competitive landscape across these locations. Semi urban schools are grouped with rural schools due to greater similarities in school revenue, enrollment, and growth for schools with this classification in past data sets. Classification is done by the microfinance institution.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
200 schools
Sample size: planned number of observations
200 schools 200 school owners Number of teachers depends on how many school owners send to the training, but expect around 600
Sample size (or number of clusters) by treatment arms
50 schools control, 50 schools teacher training, 50 schools school owner training, 50 schools both trainings
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
We conduct power calculations using a power threshold of 0.8, significance level of 5%, sample of 200, and historic variance in school enrollment growth for low cost private schools from past projects. The minimum detectable effect is 0.2 standard deviations, or 4.9 percentage points higher growth in enrollment for treatment than control groups. The MDE is likely lower when accounting for the stratification variable (location) which were not available in the past dataset used to estimate historic variance.
IRB

Institutional Review Boards (IRBs)

IRB Name
Harvard University- Area Committee on the Use of Human Subjects
IRB Approval Date
2019-09-15
IRB Approval Number
IRB19-0385
Analysis Plan

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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