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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

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. Copyright 2007 Royal Statistical Society.

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Bibliographic Info

Article provided by Royal Statistical Society in its journal Journal of the Royal Statistical Society: Series A (Statistics in Society).

Volume (Year): 170 (2007)
Issue (Month): 4 ()
Pages: 941-954

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Handle: RePEc:bla:jorssa:v:170:y:2007:i:4:p:941-954

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Cited by:
  1. Dearden, Lorraine & Micklewright, John & Vignoles, Anna, 2011. "The Effectiveness of English Secondary Schools for Pupils of Different Ability Levels," IZA Discussion Papers 5839, Institute for the Study of Labor (IZA).
  2. 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, Department of Economics, University of Bristol, UK.
  3. Khudnitskaya, Alesia S., 2009. "Microenvironment-specific Effects in the Application Credit Scoring Model," MPRA Paper 23175, University Library of Munich, Germany.
  4. 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, Department of Economics, University of Bristol, UK.
  5. 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.

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