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Assessing the Variance in Pupil Attainment: How Important is the School Attended?

Published online by Cambridge University Press:  01 January 2020

David Wilkinson*
Affiliation:
UCL and NIESR
Alex Bryson
Affiliation:
UCL, NIESR and IZA
Lucy Stokes
Affiliation:
NIESR
*
corresponding author, e-mail: [email protected]

Abstract

We explore the variation in pupil attainment at the end of secondary schooling in England. The paper links data on all schools and all pupils within these schools to analyse the role of the school in accounting for this variation. We analyse a number of different indicators of pupil attainment including value added between the end of primary and secondary schooling and attainment levels at the end of secondary schooling. We examine indicators that were the focus of the school accounting framework as well as other indicators that were not directly part of how schools were assessed. We show that schools account for a minority of the variance in pupil attainment, and the extent of the variation accounted for by the school is sensitive to the measure of pupil attainment used. In addition, we find that the majority of the explained school-level variance in attainment is related to school composition. However, most of the variance in attainment remains unexplained, raising questions about what other factors contribute to the variation in school performance.

Type
Research Articles
Copyright
Copyright © 2018 National Institute of Economic and Social Research

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Footnotes

Acknowledgements: We thank the Nuffield Foundation (grant EDU/41926) for funding and members of the project advisory group, and participants at seminars at the Department for Education and NIESR for comments. The authors acknowledge the Department for Education (DfE) for granting access to data from the National Pupil Database and School Workforce Census. The views expressed are those of the authors, and all errors and omissions remain the authors' sole responsibility.

References

Andrews, J. and Perera, N., with Eyles, A., Sahlgren, G.H., Machin, S., Sandi, M. and Silva, O. (2017), ‘The impact of academies on educational outcomes’, Education Policy Institute, July.Google Scholar
Barth, E., Bryson, A., David, J. and Freeman, R. (2016), ‘It's where you work: increases in the dispersion of earnings across establishments and individuals in the United States’, Journal of Labor Economics, 34, 2, pt. 2.CrossRefGoogle Scholar
Brookover, W., Beady, C., Flood, P., Schweitzer, J. and Wisenbaker, J. (1979), School Social Systems and Student Achievement: Schools can make a difference, New York: Praeger.Google Scholar
Bryson, A., Stokes, L. and Wilkinson, D. (forthcoming), ‘Can HRM improve schools’ performance?', mimeo.Google Scholar
Coleman, J.S., Campbell, E., Hobson, C., McPartland, J., Mood, A., Weinfeld, F. and York, R. (1966), Equality of Educational Opportunity, Washington DC: US Government Printing Office.Google Scholar
Dearden, L., Ferri, J. and Meghir, C. (2002), ‘The effect of school quality on educational attainment and wages’, The Review of Economics and Statistics, 84, 1, pp. 120, The MIT Press.Google Scholar
Department for Education (2010), ‘A technical guide to contextualised value added (including English and maths) Key stage 2 to 4 2010 Model, available at http://webarchive.nationalarchives.gov.uk/20150814121645/ http://www.education.gov.uk/schools/performance/archive/schools_10/cvacalc.pdf.Google Scholar
Department for Education (2011), ‘A guide to value added Key stage 2 to 4 in 2011 School and College Performance tables and raise online’, available at http://webarchive.nationalarchives.gov.uk/20151008063953/ http://www.education.gov.uk/schools/performance/2011/secondary_11/KS2-4_General_VA_Guide_2011_FINAL_AMENDED.pdf.Google Scholar
Department for Education (2013), ‘2012 OECD PISA results’, Oral statement to Parliament, Secretary of State for Education Michael Gove, 3 December.Google Scholar
Department for Education (2014), ‘What impact does school spending have on pupil attainment? A review of the recent literature’, Department for Education, June, available at http://www.parliament.uk/documents/commons-committees/Education/Impact-of-school-spending-on-pupil-attainment.pdf.Google Scholar
Department for Education (2017), ‘Progress 8 and Attainment 8: Guide for maintained secondary schools, academies and free schools’, January, http://www.gov.uk/government/uploads/system/uploads/attachment_data/file/659860/Secondary_accountability_measures_guide.pdf.Google Scholar
Department for Education and Skills (DfES) (2004), ‘Statistics in education: variation in pupil progress 2003’, Department for Education and Skills National Statistics Bulletin, Issue No 02/04, July.Google Scholar
Eyles, A. and Machin, S. (2015), ‘The introduction of Academy Schools to England's education’, CEP Discussion Paper No 1368, August.Google Scholar
Halsey, A.H., Heath, A. and Ridge, J. (1980), Origins and Destinations: Family, Class, and Education in Modern Britain, Oxford: Clarendon Press.Google Scholar
Jencks, C.S., Smith, M., Ackland, H., Bane, M.J., Cohen, D., Gintis, H., Heyns, B. and Michelson, S. (1972), Inequality: A Reassessment of the Effect of the Family and Schooling in America, New York: Basic Books.Google Scholar
Kremer, M. and Maskin, E. (1996), ‘Wage inequality and segregation by skill’, National Bureau of Economic Research Working Paper Series, Working Paper 5718, August.CrossRefGoogle Scholar
Madaus, G., Kellaghan, T., Rakow, T. and King, D. (1979), ‘The sensitivity of measures of school effectiveness’, Harvard Educational Review, Summer.CrossRefGoogle Scholar
Nicoletti, C. and Rabe, B. (2013), ‘Inequality in pupils' test scores: how much do family, sibling type and neighbourhood matter?’, Economica, 80, pp. 197218.CrossRefGoogle Scholar
Organisation for Economic Co-operation and Development (OECD) (2014), PISA 2012 Results: What Students Know and Can Do: Student Performance in Mathematics, Reading and Science, Volume 1, Paris: OECD.Google Scholar
Organisation for Economic Co-operation and Development (OECD) (2016), PISA 2015 Results: Excellence and Equity in Education, Volume I, Paris: OECD.Google Scholar
Rutter, M. (1983), ‘School effects on pupil progress – findings and policy implications’, Child Development, 54:1, pp. 129.CrossRefGoogle Scholar
Rutter, M., Maughan, B., Mortimore, P. and Ouston, J., with Smith, A. (1979), Fifteen Thousand Hours: Secondary Schools and Their Effects on Children, London: Open Books and Boston, MA: Harvard University Press.Google Scholar
Sammons, P. (2007), School Effectiveness and Equity: Making Connections; A Review of School Effectiveness and Improvement Research – Its Implications for Practitioners and Policy Makers, CfBT Education Trust.Google Scholar
Scheerens, J. and Bosker, R. (1997), The Foundations of Educational Effectiveness, Pergamon.Google Scholar
Shakeshaft, N., Trzaskowski, M., McMillan, A., Rimfield, K., Krapohl, E., Haworth, C., Dale, P. and Plomin, R. (2013), ‘Strong genetic influence on a UK nationwide test of educational achievement at the end of compulsory education at age 16’, PLoS ONE 8(12): e80341 doi:10.1371/journal.pone.0080341.CrossRefGoogle ScholarPubMed
Stokes, L., Bryson, A. and Wilkinson, D. (forthcoming), ‘What does leadership look like in schools and does it matter for performance?’, mimeo.Google Scholar
Wolf, A. (2011), Review of Vocational Education – The Wolf Report, DfE Report DFE-00031-2011, http://www.gov.uk/government/uploads/system/uploads/attachment_data/file/180504/DFE-00031-2011.pdf.Google Scholar
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