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PRWP

Reproducibility package for A Comparative Analysis of Contract and Government Teachers in Sierra Leone: Profiles and Practices

2024
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Reference ID
RR_SLE_2024_150
DOI
https://doi.org/10.60572/n1z9-0b98
Author(s)
Emma Cameron, Marcela Gutierrez Bernal, Mari Shojo, Namrata Raman Tognatta, Mokhlesur Rahman, Ali Ansari
Collections
World Bank Policy Research Working Papers
Metadata
JSON
Created on
Jun 13, 2024
Last modified
Jun 13, 2024
  • Project Description
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  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
  • Access and rights
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  • Information on metadata
  • Citation
  • Overview

    Abstract

    This study examines the dynamics and implications of using contract teachers in developing countries, with a specific focus on Sierra Leone. Despite the rapid rise in the number of contract teachers across Sub-Saharan Africa, with almost 70% of all primary level teachers hired via contracts, relatively little is still known about them, as well as their impact on education policy and learning. This is critical given the predominance of contract teachers, who are not on the government payroll and are often hired outside the conventional system, as a strategic response to the acute shortage of qualified teaching personnel and the growing pressures on educational systems due to increased enrollment. Drawing on data from the World Bank’s Global Education Policy Dashboard (GEPD), the study compares the profiles and practices of primary level contract and government teachers in Sierra Leone.
    The findings reveal that despite lower pre-service training and different incentive structures, contract teachers perform comparably to their government counterparts on several teaching practice indicators. They also engage more in in-service training, possibly as a mechanism to "catch up" with the formal qualifications of government teachers. Similarly, teachers fourth grade content knowledge suggests that while government teachers possess higher literacy knowledge, contract teachers score slightly higher in math content knowledge. However, disparities still exist in student learning outcomes, with students taught by government teachers outperforming those taught by contract teachers on both literacy and math assessments. These results should be interpreted with caution, as contract teachers tend to be allocated in hard-to-reach areas with higher poverty levels. However, even though these results do not establish causality, students may perform worse in contract teachers’ classrooms due to a higher rate of absenteeism among contract teachers who often take on other jobs in addition to teaching.
    This suggests that while contract teachers can mitigate teacher shortages, especially in rural and remote areas, the quality of education may be affected. The study also reveals higher levels of job dissatisfaction among contract teachers, likely due to their lower salaries and less stable job conditions.
    The findings underscore the need for a nuanced approach in policymaking, one that not only fills teaching vacancies through contract teachers but also enhances the support, training and professional development opportunities for these educators. By improving the overall quality and consistency of teaching, Sierra Leone can better ensure that all students receive a quality education, irrespective of their teacher’s contractual status.

    Reproducibility Package

    Scripts
    Readme Get Reproducibility Package
    Link: https://reproducibility.worldbank.org/index.php/catalog/155/download/424/README.pdf
    Reproducibility package (code) for A Comparative Analysis of Contract and Government Teachers in Sierra Leone: Profiles and Practices
    Title
    Reproducibility package (code) for A Comparative Analysis of Contract and Government Teachers in Sierra Leone: Profiles and Practices
    Date
    2024-06
    Dependencies
    All dependencies are stored in the ado folder in this reproducibility package.
    Instructions
    See README in the reproducibility package.
    Notes
    Computational reproducibility verified by Development Impact (DIME) Analytics team, World Bank.
    Source code repository
    Repository name URI
    Reproducible Research Repository (World Bank) https://reproducibility.worldbank.org
    Software
    Stata
    Name
    Stata
    Version
    18

    Reproducibility

    Technology environment

    Paper exhibits were reproduced on a computer with the following specifications:
    • OS: Windows 10 Enterprise
    • Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz, 2900 Mhz, 4 Core(s), 4 Logical Processor(s)
    • Memory available: 15.6 GB
    • Software version: Stata version 18

    Technology requirements

    ~15 minutes runtime

    Reproduction instructions

    The data utilized in this study is confidential and cannot be shared publicly, nor is there a standard procedure available for acquiring it. As a result, reproducing the results presented in the study may be challenging. However, this package includes detailed code and a comprehensive reproducibility report to outline the analytical processes used by the authors. These resources aim to aid replicators in understanding and evaluating the methodologies employed, despite the inability to independently verify the exact results due to data access restrictions.

    Data

    Datasets
    The Annual School Census (ASC)
    Name
    The Annual School Census (ASC)
    Note
    Source: Ministry of Basic and Senior Secondary Education (MBSSE). Includes core education data collection on schools, infrastructure, management, teachers, and facilities. The datasets were provided by the Ministry of Basic and Senior Secondary Education as part of a strong collaboration. There is no standard procedure to request the data, as the data is not typically made publicly available. Please see the README file for more details on the data. Located at: rawdata/2015 Teachers.xlsx, 2017 Teachers.xlsx, 2018 Teachers.xlsx, 2018 School.xlsx, 2019 Teachers.csv, ASC2020 teachers.dta, 2021 Teachers.csv, 2021 teacher_Koindugu.csv, 2022 School.xlsx, 2022 Teachers.xlsx
    Access policy
    Data is confidential and not included in the reproducibility package.
    Global Education Policy Data
    Name
    Global Education Policy Data
    Note
    Source: World Bank, Global Education Policy Dashboard Team. The dataset was provided directly by the team to the authors and is not yet publicly available. This analysis utilized the school survey which collects data on schools, school leaders, teacher profiles and knowledge assessments, student assessments, and classroom observation. An anonymized version will soon be up on the World Bank Microdata Library. Located at: rawdata/GEPD_g4student_teacher_school_country_level.dta, GEPD_school_country_level.dta, GEPD_teacher_school_country_level.dta, GEPD_weights.
    Access policy
    Data is confidential and not included in the reproducibility package. An anonymized version will soon be in the World Bank Microdata Library.
    Data URL
    Forthcoming at https://microdata.worldbank.org/
    Teach Primary Data
    Name
    Teach Primary Data
    Note
    Source: World Bank, Teach Primary Team. The Teach Primary Country Comparable Dataset was personally developed and supplied by the Teach Primary team. This dataset was crafted to facilitate the comparison of aggregated Teach Scores across a set of region and income peers for Sierra Leone. To ensure anonymity and safeguard the privacy of the countries involved, this dataset is not included in the package. There is no standard procedure available for accessing this dataset. For inquiries or potential access, please refer to the Teach Primary team via the provided link below. Located at: rawdata/Teach_peers.xlsx
    Access policy
    Data is confidential and not included in the reproducibility package.
    Data URL
    https://www.worldbank.org/en/topic/education/brief/teach-helping-countries-track-and-improve-teaching-quality
    Data statement

    The data used in this project are confidential and cannot be shared due to strict data usage agreements. The authors do not have permission to distribute the data. For more information, please refer to the Data Availability Statement in the README file, and the data entries in the package, or contact the author, Emma Cameron, at ecameron1@worldbank.org.

    Description

    Output
    A Comparative Analysis of Contract and Government Teachers in Sierra Leone: Profiles and Practices
    Type
    Working Paper
    Title
    A Comparative Analysis of Contract and Government Teachers in Sierra Leone: Profiles and Practices
    Authors
    Emma Cameron, Marcela Gutierrez Bernal, Mari Shojo, Namrata Raman Tognatta, Mokhlesur Rahman, and Ali Ansari
    Description
    Policy Research Working Paper (PRWP)
    Authors
    Author Affiliation Email
    Emma Cameron World Bank ecameron1@worldbank.org
    Marcela Gutierrez Bernal World Bank mgutierrezb@worldbankgroup.org
    Mari Shojo World Bank mshojo@worldbank.org
    Namrata Raman Tognatta World Bank ntognatta@worldbank.org
    Mokhlesur Rahman World Bank mrahman2@worldbank.org
    Ali Ansari World Bank aansari2@worldbank.org
    Date of production

    2024-06

    Scope and coverage

    Geographic locations
    Location Code
    Sierra Leone SLE
    Keywords
    Sierra Leone education policy contract teachers government teachers teaching quality student outcomes teacher training job satisfaction
    Topics
    ID Topic Parent topic ID Vocabulary Vocabulary URI
    I18 Government Policy • Regulation • Public Health I1 Journal of Economic Literature (JEL)
    I24 Education and Inequality I2 Journal of Economic Literature (JEL)
    O15 Human Resources • Human Development • Income Distribution • Migration O1 Journal of Economic Literature (JEL)

    Disclaimer

    Disclaimer

    The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.

    Access and rights

    License
    Name URI
    Modified BSD3 https://opensource.org/license/bsd-3-clause/

    Contacts

    Contacts
    Name Affiliation Email
    Emma Cameron World Bank ecameron1@worldbank.org
    Reproducibility WBG World Bank reproducibility@worldbank.org

    Information on metadata

    Producers
    Name Abbreviation Affiliation Role
    Reproducibility WBG DIME World Bank - Development Impact Department Verification and preparation of metadata
    Date of Production

    2024-06-11

    Document version

    1

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