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Modelling the Impact of Pupil Mobility on School Differences in Educational Achievement

Author

Listed:
  • 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 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, 2006. "Modelling the Impact of Pupil Mobility on School Differences in Educational Achievement," The Centre for Market and Public Organisation 06/156, The Centre for Market and Public Organisation, University of Bristol, UK.
    • Handle: RePEc:bri:cmpowp:06/156
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    File URL: http://www.bris.ac.uk/Depts/CMPO/workingpapers/wp156.pdf
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    References listed on IDEAS

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    1. 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.
    2. Harvey Goldstein & Jon Rasbash & William Browne & Geoffrey Woodhouse & Michel Poulain, 2000. "Multilevel Models in the Study of Dynamic Household Structures," European Journal of Population, Springer;European Association for Population Studies, vol. 16(4), pages 373-387, December.
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    Cited by:

    1. Khudnitskaya, Alesia S., 2009. "Microenvironment-specific Effects in the Application Credit Scoring Model," MPRA Paper 23175, University Library of Munich, Germany.

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    More about this item

    Keywords

    Multilevel model; multiple membership model; mobility; value added; National Pupil database; educational attainment; cross classified model; random effects; school effectiveness;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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    This paper has been announced in the following NEP Reports:

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