IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/25066.html
   My bibliography  Save this paper

Explaining learning gaps in Namibia: The role of language proficiency

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/25066/6/MPRA_paper_25066.pdf
    File Function: original version
    Download Restriction: no

    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.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Learning achievement; language skills; multilevel analysis; HLM;

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:25066. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.