Garrouste, Christelle (2011): Explaining learning gaps in Namibia: The role of language proficiency. Published in: International Journal of Educational Development , Vol. 31, (2011): pp. 223-233.
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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.
|Item Type:||MPRA Paper|
|Original Title:||Explaining learning gaps in Namibia: The role of language proficiency|
|Keywords:||Learning achievement; language skills; multilevel analysis; HLM|
|Subjects:||C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C13 - Estimation: General
I - Health, Education, and Welfare > I2 - Education and Research Insititutions
C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models; Multiple Variables
|Depositing User:||Christelle Garrouste|
|Date Deposited:||24. Jun 2011 21:02|
|Last Modified:||16. Feb 2013 02:37|
Aitkin, M., & Longford, N. (1986). Statistical Modeling Issues in School Effectiveness Studies. Journal of the Royal Statistical Society, Series A, 149(1), 1-43.
Alexander, L., & Simmons, J. (1975). The Determinants of School Achievement in Developing Countries: A Review of Research. Economic Development and Cultural Change, 26, 341-58.
Baker, D.P., Goesling, B. & Letendre, G. (2002). Socio-Economic Status, School Quality and National Economic Development: A cross-national analysis of the Heyneman-Loxley effect. Comparative Education Review, 46: 291-313.
Billy, J.O.G. (2001). Better Ways to do Contextual Analysis: Lessons from Duncan and Raudenbush. In A.C. Crouter (Ed.), Does it Take a Village?: Community Effects on Children, Adolescents, and Families. Mahwah, NJ: Lawrence Erlbaum.
Bush, W.S. (2002). Culture and Mathematics: An Overview of the Literature with a View to Rural Contexts. Working Paper Series, 2. Louisville: University of Louisville, Appalachian Collaborative Center for Learning, Assessment and Instruction in Mathematics.
Clarkson, P.C., & Galbraith, P. (1992). Bilingualism and Mathematics Learning: another Perspective. Journal for Research in Mathematics Education, 23(1), 34-44.
Collier, V.P. (1992). A Synthesis of Studies Examining Long-Term Language Minority Student Data on Academic Achievement. Bilingual Research Journal, 16(1&2), 187-212.
DeLeeuw, J., & Kreft, I. (1986). Random Coefficient Models for Multilevel Analysis. Journal of Educational Statistics, 11(1), 57-85.
Ehindero, O. J. (1980). The Influence of Two Languages of Instruction on Students’ Levels of Cognitive Development and Achievement in Science. Journal of Research in Science Training, 17(4), 283-8.
Elley, W.B. (1992). How in the World do Children Read? The Hague: IEA.
Elley, W.B. (Ed.). (1994). The IEA Study of Reading Literacy: Achievement and Instruction in Thirty-Two School Systems. Oxford: Pergamon Press.
Fielding, A., & Steele, F. (2007). “Handling Endogeneity by a Multivariate Response Model: Methodological Challenges in Examining School and Area Effects on Student Attainment”. Paper presented at the Sixth International Conference on Multilevel Analysis, Amsterdam, April 16-17, 2007.
Frank, R. (2005). “Help or Hindrance?: A Multi-level Analysis of the Role of Families and Communities in Growing up American”. Paper presented at the Population Association of America’s Annual Meeting, Philadelphia, PA, March 31-April 3, 2005.
Fuller, B. (1987). What School Factors Raise Achievement in the Third World? Review of Educational Research, 57(3), 255-97.
Gameron, A., & Long, D.A. (2007). Equality of Educational Opportunity: A 40-year retrospective. In R. Teese, S. Lamb & M. Duru-Bellat (eds.), International Studies in Educational Inequalty, Theory and Policy, Vol.1, Educational Inequality, Persistence and Change. Dordrecht: Springer.
Garrouste, C. (2007). Determinants and Consequences of Language-in-Education Policies: Essays in Economics of Education. Stockholm: Institute of International Education, Studies in International and Comparative Education, 74.
Geary, D.C., Bow-Thomas, C.C., Liu, F., & Stigler, R.S. (1996). Development of Arithmetic Computation in Chinese and American Children: Influence of Age, Language, and Schooling. Child Development, 67, 2022-2044.
Goldstein, H. (1987). Multilevel Models in Educational and Social Research. Oxford: Oxford University Press.
Gordon, R. G., Jr. (Ed.). (2005). Ethnologue: Languages of the World, 15th ed. Dallas, T.X.: SIL International. URL: http://www.ethnologue.com/.
Grilli, L., & Rampichini, C. (2007). “Endogeneity Issues in Multilevel Linear Models”. Paper presented at the Sixth International Conference on Multilevel Analysis, Amsterdam, April 16-17, 2007.
Gustafsson, M. (2007). Using the Hierarchical Linear Model to Understand School Production in South Africa. South African Journal of Economics, 75(1), 84-98.
Heyneman, S., & Loxley, W. (1983a). The Distribution of Primary School Quality within High and Low Income Countries. Comparative Education Review, 27(1), 108-18.
Heyneman, S., & Loxley, W. (1983b). The Effect of Primary School Quality on Academic Achievement across 29 high- and low-income countries. American Journal of Sociology, 88(6), 1162-94.
Howie, S. (2002). English Language Proficiency and Contextual Factors Influencing Mathematics Achievement of Secondary Schools in South Africa. Twente: University of Twente, Unpublished PhD thesis.
Howie, S. (2005). System-Level Evaluation: Language and Other Background Factors Affecting Mathematics Achievement. Prospects, XXXV(2), 175-186.
Hox, J.J. (1995). Applied Multilevel Analysis. Amsterdam: TT-Publikaties.
Husén, T. (1969). Talent, Opportunity and Career: A 26 Year Follow-up of 1500 Individuals. Stockholm: Almqvist & Wiksell.
Lamb, S., & Fullarton, S. (2002). Classroom and School Factors Affecting Mathematics Achievement: A Comparative Study of Australia and the United States using TIMSS. Australian Journal of Education, 46(2), 154-173.
Lee, V.E. (2000). Using Hierarchical Modeling to Study Social Contexts: The case of school effects. Educational Psychologist, 35(2), 125-141.
Lundberg, I., & Linnakyla, P. (1993). Teaching Reading Around the World. The Hague: IEA.
Lynch, J.P., Sabol, W.J., Planty, M., & Shelly, M. (2002). Crime, Coercision and Community: the Effects of Arrest and Incarceration Policies on Informal Social Control in Neighborhoods. Rockville, MD: National Criminal Justice Reference Services (NCJRS).
Makuwa, D. (2005). The SACMEQ II project in Namibia: a Study of the Conditions of Schooling and the Quality of Education. Harare: SACMEQ Educational Policy Research Series.
Mason, W.M. (2001). Multilevel Methods of Statistical Analysis. On-Line Working Paper Series, CCPR-006-01. Los Angeles, CA: University of California, California Center for Population Research.
Mason, W.M., Wong, G.Y., & Entwistle, B. (1983). Contextual Analysis through the Multilevel Linear Model. In S. Leinhardt (Ed.), Sociological Methodology 1983-1984, 14. San Francisco, C.A.: Jossey-Bass.
McCullagh, P., & Nelder, J.A. (1989). Generalized Linear Models. London: Chapman & Hall.
Miller, J. E., & Phillips, J. A. (2002). Does Context Affect SCHIP Disenrollment? Findings from a Multilevel Analysis. Working paper, 316. Chicago: Northwestern University/University of Chicago Joint Center for Poverty Research.
Pedhazur, E.J. (1982). Multiple Regression in Behavioral Research: Explanation and Prediction, 2nd ed. New York, NY: Holt, Rinehart and Winston.
Peng, X. (2007). Estimates of School Productivity and Implications for Policy. Columbia, MO: University of Missouri-Columbia. Unpublished M.A. thesis.
Peugh, J.L. (2010). A practical guide to multilevel modeling. Journal of School Psychology, 48, 85–112.
Postlethwaite, T., & Ross, K. (1992). Effective Schools in Reading: Implications for Planners. The Hague: IEA.
Raudenbush, S.W., & Bryk, A.S. (1986). A Hierarchical Model for Studying School Effects. Sociology of Education, 59(1), 1-17.
Raudenbush, S.W., & Bryk, A.S. (1987). Application of Hierarchical Linear Models to Assessing Change. Psychological Bulletin, 101(1), 147-58.
Raudenbush, S.W., & Bryk, A.S. (1988). Toward a More Appropriate Conceptualization of Research on School Effects: A Three-Level Linear Model. The American Journal of Education, 97(1), 65-108.
Raudenbush, S.W., & Bryk, A.S. (1992). Hierarchical Linear Models: Applications and Data Analysis Methods. Beverly Hills, C.A.: Sage Publications.
Raudenbush, S.W., & Bryk, A.S. (1995). Hierarchical Linear Models. In T. Husén & T.N. Postlethwaite (Eds.), The International Encyclopedia of Education, 2nd ed., 5, 2590-6.
Raudenbush, S.W., & Bryk, A.S. (2002). Hierarchical Linear Models: Applications and Data Analysis Methods. 2nd Edition. London: Sage Publications.
Rettore, E., & Martini, A. (2001). “Constructing League Tables of Service Providers when the Performance of the Provider is Correlated to the Characteristics of the Clients”. Paper presented at the Convegno Intermedio della Società Italiana di Statistica Processi Metodi Statistici di Valutazione, Rome, June 4-6, 2001.
Roberts, J.K. (2007). Group Dependency in the Presence of Small Intraclass Correlation Coefficients: An Argument in Favor of Not Interpreting the ICC. Paper presented at the annual meeting of the American Educational Research Association, April 10, 2007.
Saha, L.J. (1983). Social Structures and Teacher Effects on Academic Achievement: A comparative Analysis. Comparative Education Review, 27(1), 69-88.
Skutnabb-Kangas, T., & Garcia, O. (1995). Multilingualism for All – General Principles? In Skutnabb-Kangas, T. (ed.), Multilingualism for All. Lisse: Swets & Zeitlinger B.V., European Studies on Multilingualism, 4, 221-256.
Valverde, L.A. (1984). Underachievement and Underrepresentation of Hispanics in Mathematics and Mathematics Related Careers. Journal for Research in Mathematics Education, 15, 123-33.
Vespoor, A. (2006). Schools at the Center of Quality. ADEA Newsletter, 18(1), 3-5.
Willms, J.D., & Raudenbush, S.W. (1989). A Longitudinal Hierarchical Linear Model for Estimating School Effects and Their Stability. Journal of Educational Measurement, 26(3), 209-32.
Xiao, J. (2001). Determinants of Employee Salary Growth in Shanghai: An Analysis of Formal Education, On-the-Job Training, and Adult Education with a Three-Level Model. The China Review, 1(1), 73-110.
Yip, D.Y., Tsang, W.K., & Cheung, S.P. (2003). Evaluation of the Effects of Medium of Instruction on the Science Learning of Hong Kong Secondary Students: Performance on the Science Achievement Test. Bilingual Research Journal, 27(2), 295-331.