Measuring and Explaining Management in Schools : New Approaches Using Public Data

Why do some students learn more in some schools than others? One consideration receiving growing attention is school management. To study this, researchers need to be able to measure school management accurately and cheaply at scale, and also expla...

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Main Authors:	Leaver, Clare, Lemos, Renata, Scur, Daniela
Format:	Working Paper
Language:	English
Published:	World Bank, Washington, DC 2019
Subjects:	MANAGEMENT EDUCATION TEACHER SELECTION TEACHING INCENTIVES TEACHER EFFECTIVENESS STUDENT LEARNING
Online Access:	http://documents.worldbank.org/curated/en/835301573071659790/Measuring-and-Explaining-Management-in-Schools-New-Approaches-Using-Public-Data http://hdl.handle.net/10986/32662

id	okr-10986-32662
recordtype	oai_dc
spelling	okr-10986-326622022-09-20T00:12:27Z Measuring and Explaining Management in Schools : New Approaches Using Public Data Leaver, Clare Lemos, Renata Scur, Daniela MANAGEMENT EDUCATION TEACHER SELECTION TEACHING INCENTIVES TEACHER EFFECTIVENESS STUDENT LEARNING Why do some students learn more in some schools than others? One consideration receiving growing attention is school management. To study this, researchers need to be able to measure school management accurately and cheaply at scale, and also explain any observed relationship between school management and student learning. This paper introduces a new approach to measurement using existing public data, and applies it to build a management index covering 15,000 schools across 65 countries, and another index covering nearly all public schools in Brazil. Both indices show a strong, positive relationship between school management and student learning. The paper then develops a simple model that formalizes the intuition that strong management practices might be driving learning gains via incentive and selection effects among teachers, students and parents. The paper shows that the predictions of this model hold in public data for Latin America, and draws out implications for policy. 2019-11-21T17:36:38Z 2019-11-21T17:36:38Z 2019-11 Working Paper http://documents.worldbank.org/curated/en/835301573071659790/Measuring-and-Explaining-Management-in-Schools-New-Approaches-Using-Public-Data http://hdl.handle.net/10986/32662 English Policy Research Working Paper;No. 9053 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper Latin America & Caribbean Brazil
repository_type	Digital Repository
institution_category	Foreign Institution
institution	Digital Repositories
building	World Bank Open Knowledge Repository
collection	World Bank
language	English
topic	MANAGEMENT EDUCATION TEACHER SELECTION TEACHING INCENTIVES TEACHER EFFECTIVENESS STUDENT LEARNING
spellingShingle	MANAGEMENT EDUCATION TEACHER SELECTION TEACHING INCENTIVES TEACHER EFFECTIVENESS STUDENT LEARNING Leaver, Clare Lemos, Renata Scur, Daniela Measuring and Explaining Management in Schools : New Approaches Using Public Data
geographic_facet	Latin America & Caribbean Brazil
relation	Policy Research Working Paper;No. 9053
description	Why do some students learn more in some schools than others? One consideration receiving growing attention is school management. To study this, researchers need to be able to measure school management accurately and cheaply at scale, and also explain any observed relationship between school management and student learning. This paper introduces a new approach to measurement using existing public data, and applies it to build a management index covering 15,000 schools across 65 countries, and another index covering nearly all public schools in Brazil. Both indices show a strong, positive relationship between school management and student learning. The paper then develops a simple model that formalizes the intuition that strong management practices might be driving learning gains via incentive and selection effects among teachers, students and parents. The paper shows that the predictions of this model hold in public data for Latin America, and draws out implications for policy.
format	Working Paper
author	Leaver, Clare Lemos, Renata Scur, Daniela
author_facet	Leaver, Clare Lemos, Renata Scur, Daniela
author_sort	Leaver, Clare
title	Measuring and Explaining Management in Schools : New Approaches Using Public Data
title_short	Measuring and Explaining Management in Schools : New Approaches Using Public Data
title_full	Measuring and Explaining Management in Schools : New Approaches Using Public Data
title_fullStr	Measuring and Explaining Management in Schools : New Approaches Using Public Data
title_full_unstemmed	Measuring and Explaining Management in Schools : New Approaches Using Public Data
title_sort	measuring and explaining management in schools : new approaches using public data
publisher	World Bank, Washington, DC
publishDate	2019
url	http://documents.worldbank.org/curated/en/835301573071659790/Measuring-and-Explaining-Management-in-Schools-New-Approaches-Using-Public-Data http://hdl.handle.net/10986/32662
_version_	1764477018658832384

Measuring and Explaining Management in Schools : New Approaches Using Public Data

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