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Modelling the effect of pupil mobility on school differences in educational achievement

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  • Harvey Goldstein
  • Simon Burgess
  • Brendon McConnell

Abstract

Summary. The recently introduced national pupil database in England allows the tracking of every child through the compulsory phases of the state education system. The data from key stage 2 for three local education authorities are studied, following cohorts of pupils through their schooling. The mobility of pupils among schools is studied in detail by using multiple‐membership multilevel models that include prior achievement and other predictors and the results are compared with traditional ‘value‐added’ approaches that ignore pupil mobility. The analysis also includes a cross‐classification of junior and infant schools attended. The results suggest that some existing conclusions about schooling effects may need to be revised.

Suggested Citation

  • Harvey Goldstein & Simon Burgess & Brendon McConnell, 2007. "Modelling the effect of pupil mobility on school differences in educational achievement," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(4), pages 941-954, October.
  • Handle: RePEc:bla:jorssa:v:170:y:2007:i:4:p:941-954
    DOI: 10.1111/j.1467-985X.2007.00491.x
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    References listed on IDEAS

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    1. Daniel Aaronson & Lisa Barrow & William Sander, 2007. "Teachers and Student Achievement in the Chicago Public High Schools," Journal of Labor Economics, University of Chicago Press, vol. 25(1), pages 95-135.
    2. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    3. Jonah E. Rockoff, 2004. "The Impact of Individual Teachers on Student Achievement: Evidence from Panel Data," American Economic Review, American Economic Association, vol. 94(2), pages 247-252, May.
    4. Stephen W. Raudenbush & JDouglas Willms, 1995. "The Estimation of School Effects," Journal of Educational and Behavioral Statistics, , vol. 20(4), pages 307-335, December.
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    1. Alastair H. Leyland & Øyvind Næss, 2009. "The effect of area of residence over the life course on subsequent mortality," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(3), pages 555-578, June.
    2. George Leckie, 2008. "Modelling the Effects of Pupil Mobility and Neighbourhood on School Differences in Educational Achievement," The Centre for Market and Public Organisation 08/189, The Centre for Market and Public Organisation, University of Bristol, UK.
    3. Lorraine Dearden & John Micklewright & Anna Vignoles, 2011. "The Effectiveness of English Secondary Schools for Pupils of Different Ability Levels," Fiscal Studies, Institute for Fiscal Studies, vol. 32(2), pages 225-244, June.
    4. George Leckie, 2009. "The complexity of school and neighbourhood effects and movements of pupils on school differences in models of educational achievement," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(3), pages 537-554, June.
    5. Huang, Fung-Mey & Liao, Jen-Che & Yi, Chin-Chun, 2020. "The impact of labor market work and educational tracking on student educational outcomes: Evidence from Taiwan," Economics of Education Review, Elsevier, vol. 77(C).
    6. Carl Lamote & Jan Van Damme & Wim Van Den Noortgate & Sara Speybroeck & Tinneke Boonen & Jerissa Bilde, 2013. "Dropout in secondary education: an application of a multilevel discrete-time hazard model accounting for school changes," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(5), pages 2425-2446, August.
    7. Khudnitskaya, Alesia S., 2009. "Microenvironment-specific Effects in the Application Credit Scoring Model," MPRA Paper 23175, University Library of Munich, Germany.
    8. Minjeong Jeon & Sophia Rabe-Hesketh, 2012. "Profile-Likelihood Approach for Estimating Generalized Linear Mixed Models With Factor Structures," Journal of Educational and Behavioral Statistics, , vol. 37(4), pages 518-542, August.
    9. William Browne & Harvey Goldstein, 2010. "MCMC Sampling for a Multilevel Model With Nonindependent Residuals Within and Between Cluster Units," Journal of Educational and Behavioral Statistics, , vol. 35(4), pages 453-473, August.
    10. Jon Rasbash & George Leckie & Rebecca Pillinger & Jennifer Jenkins, 2010. "Children's educational progress: partitioning family, school and area effects," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(3), pages 657-682, July.
    11. Deborah Wilson & Anete Piebalga, 2008. "Accurate performance measure but meaningless ranking exercise? An analysis of the English school league tables," The Centre for Market and Public Organisation 07/176, The Centre for Market and Public Organisation, University of Bristol, UK.
    12. Juliette Malley & José‐Luis Fernández, 2010. "Measuring Quality In Social Care Services: Theory And Practice," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 81(4), pages 559-582, December.

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