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Comparing High Achievers to Low Achievers : An Examination of Student Inputs versus School Inputs in the Educational Outcomes of English Adolescent

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  • Elasra, Amira

    (University of Warwick)

Abstract

This paper investigates the association between sets of inputs and the educational outcomes of English adolescents. By linking the Longitudinal Study of Young People in England and Ofsted data, the paper employs the Context-Input-Process-Outcome model to compare the correlation of students and school inputs with their cognitive and non-cognitive outcomes. Using Nonlinear Canonical Correlation Analysis, the paper compares the characteristics of the high achievers to those of the low achievers revealing consistency with current findings in the literature. The results reveal that student inputs exert a greater influence than school inputs in revealing these characteristics. Specifically, unlike low achievers high achievers tend to exhibit positive attitudes toward school, benefit from supportive home learning environments, express greater eagerness to pursue university education, and belong to higher socio-economic backgrounds.

Suggested Citation

  • Elasra, Amira, 2024. "Comparing High Achievers to Low Achievers : An Examination of Student Inputs versus School Inputs in the Educational Outcomes of English Adolescent," The Warwick Economics Research Paper Series (TWERPS) 1503, University of Warwick, Department of Economics.
    • Handle: RePEc:wrk:warwec:1503
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    1. Arnaud Chevalier & Colm Harmon & Vincent O’ Sullivan & Ian Walker, 2013. "The impact of parental income and education on the schooling of their children," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-22, December.
    2. van der Burg, Eeke & de Leeuw, Jan & Dijksterhuis, Garmt, 1994. "OVERALS : Nonlinear canonical correlation with k sets of variables," Computational Statistics & Data Analysis, Elsevier, vol. 18(1), pages 141-163, August.
    3. Belzil, Christian & Leonardi, Marco, 2007. "Can risk aversion explain schooling attainments? Evidence from Italy," Labour Economics, Elsevier, vol. 14(6), pages 957-970, December.
    4. Gary Solon & Marianne E. Page & Greg J. Duncan, 2000. "Correlations Between Neighboring Children In Their Subsequent Educational Attainment," The Review of Economics and Statistics, MIT Press, vol. 82(3), pages 383-392, August.
    5. Anger, Silke & Heineck, Guido, 2010. "Do Smart Parents Raise Smart Children? The Intergenerational Transmission of Cognitive Abilities," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 23, pages 1105-1132.
    6. Gyimah-Brempong, Kwabena & Gyapong, Anthony O., 1991. "Characteristics of education production functions: An application of canonical regression analysis," Economics of Education Review, Elsevier, vol. 10(1), pages 7-17, March.
    7. Inhoe Ku & Robert Plotnick, 2003. "Do children from welfare families obtain less education?," Demography, Springer;Population Association of America (PAA), vol. 40(1), pages 151-170, February.
    8. Rosalind Levacic & Anna Vignoles, 2002. "Researching the Links between School Resources and Student Outcomes in the UK: A Review of Issues and Evidence," Education Economics, Taylor & Francis Journals, vol. 10(3), pages 313-331.
    9. Paul W. Glewwe & Eric A. Hanushek & Sarah D. Humpage & Renato Ravina, 2011. "School Resources and Educational Outcomes in Developing Countries: A Review of the Literature from 1990 to 2010," NBER Working Papers 17554, National Bureau of Economic Research, Inc.
    10. Michel Velden & Yoshio Takane, 2012. "Generalized canonical correlation analysis with missing values," Computational Statistics, Springer, vol. 27(3), pages 551-571, September.
    11. Susan E. Mayer, 2001. "How Economic Segregation Affects Children's Educational Attainment," JCPR Working Papers 235, Northwestern University/University of Chicago Joint Center for Poverty Research.
    12. Ariel Kalil & Patrick Wightman, 2011. "Parental Job Loss and Children's Educational Attainment in Black and White Middle‐Class Families," Social Science Quarterly, Southwestern Social Science Association, vol. 92(1), pages 57-78, March.
    13. Steve Bradley & Jim Taylor, 2004. "Ethnicity, educational attainment and the transition from school," Manchester School, University of Manchester, vol. 72(3), pages 317-346, June.
    14. Eeke Burg & Jan Leeuw & Renée Verdegaal, 1988. "Homogeneity analysis withk sets of variables: An alternating least squares method with optimal scaling features," Psychometrika, Springer;The Psychometric Society, vol. 53(2), pages 177-197, June.
    15. Newman, Sandra & Harkness, Joseph, 2000. "Assisted Housing and the Educational Attainment of Children," Journal of Housing Economics, Elsevier, vol. 9(1-2), pages 40-63, March.
    16. Peter Glick & David E. Sahn, 2010. "Early Academic Performance, Grade Repetition, and School Attainment in Senegal: A Panel Data Analysis," The World Bank Economic Review, World Bank, vol. 24(1), pages 93-120, January.
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    Keywords

    Educational outcomes ; Nonlinear Canonical Correlation Analysis ; English adolescents;
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