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Internationally Comparable Mathematics Scores for Fourteen African Countries - Working Paper 444

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  • Justin Sandefur

Abstract

Internationally comparable test scores play a central role in both research and policy debates on education. However, the main international testing regimes, such as PISA, TIMSS, or PIRLS, include very few low-income countries. For instance, most countries in Southern and Eastern Africa have opted instead for a regional assessment known as SACMEQ. This paper exploits an overlap between the SACMEQ and TIMSS tests—in both country coverage, and questions asked—to assesses the feasibility of constructing global learning metrics by equating regional and international scales. I compare three different equating methods and find that learning levels in this sample of African countries are consistently (a) low in absolute terms, with average pupils scoring below the fifth percentile for most developed economies; (b) significantly lower than predicted by African per capita GDP levels; and (c) converging slowly, if at all, to the rest of the world during the 2000s. While these broad patterns are robust, average performance in individual countries is quite sensitive to the method chosen to link scores. Creating test scores which are truly internationally comparable would be a global public good, requiring more concerted effort at the design stage.

Suggested Citation

  • Justin Sandefur, 2016. "Internationally Comparable Mathematics Scores for Fourteen African Countries - Working Paper 444," Working Papers 444, Center for Global Development.
  • Handle: RePEc:cgd:wpaper:444
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    File URL: http://www.cgdev.org/publication/math-scores-fourteen-african-countries
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    Cited by:

    1. Peele, Morgan & Wolf, Sharon, 2020. "Predictors of anxiety and depressive symptoms among teachers in Ghana: Evidence from a randomized controlled trial," Social Science & Medicine, Elsevier, vol. 253(C).
    2. Nadir ALTINOK & Claude DIEBOLT, 2023. "Cliometrics of Learning-Adjusted Years of Schooling: Evidence from a New Dataset," Working Papers of BETA 2023-02, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.

    More about this item

    Keywords

    learning assessments; education quality; human capital; Africa;
    All these keywords.

    JEL classification:

    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • O55 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Africa

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