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Explaining learning gaps in Namibia: The role of language proficiency

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  • Garrouste, Christelle

Abstract

In a multilingual context, this study investigates the role of language skills on mathematics achievement. It compares characteristics of 5048 Grade-6 learners in 275 Namibian schools. The outcome variable is the standardized SACMEQ mathematics score collected in year 2000. Hierarchical linear modeling is used to partition the total variance in mathematics achievement into its within- and between-school components. The results do confirm the positive correlation between strong language skills variations at the school-level and low pupil mathematics scores, which may question the capacity of the current bilingual policy to provide for an effective and equal learning environment.

Suggested Citation

  • Garrouste, Christelle, 2011. "Explaining learning gaps in Namibia: The role of language proficiency," MPRA Paper 25066, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:25066
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    File URL: https://mpra.ub.uni-muenchen.de/25066/6/MPRA_paper_25066.pdf
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    References listed on IDEAS

    as
    1. Garrouste, Christelle, 2007. "Determinants and Consequences of Language-in-Education Policies: Essays in Economics of Education," MPRA Paper 25071, University Library of Munich, Germany.
    2. Martin Gustafsson, 2007. "Using The Hierarchical Linear Model To Understand School Production In South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 75(1), pages 84-98, March.
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    Cited by:

    1. van Pinxteren, Bert, 2022. "Language of instruction in education in Africa: How new questions help generate new answers," International Journal of Educational Development, Elsevier, vol. 88(C).

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    More about this item

    Keywords

    Learning achievement; language skills; multilevel analysis; HLM;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • I2 - Health, Education, and Welfare - - Education
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables

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