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Using M-quantile models as an alternative to random effects to model the contextual value-added of schools in London

Listed author(s):
  • Nikos Tzavidis


    (University of Manchester.)

  • James J Brown


    (Department of Quantitative Social Science, Institute of Education, University of London. 20 Bedford Way, WC1H 0AL)

Registered author(s):

    The measurement of school performance for secondary schools in England has developed from simple measures of marginal performance at age 16 to more complex contextual value-added measures that account for pupil prior attainment and background. These models have been developed within the multilevel modelling environment (pupils within schools) but in this paper we propose an alternative using a more robust approach based on M-quantile modelling of individual pupil efficiency. These efficiency measures condition on a pupils ability and background, as do the current contextual value-added models, but as they are measured at the pupil level a variety of performance measures can be readily produced at the school and higher (local authority) levels. Standard errors for the performance measures are provided via a bootstrap approach, which is validated using a model-based simulation.

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    Paper provided by Department of Quantitative Social Science - UCL Institute of Education, University College London in its series DoQSS Working Papers with number 10-11.

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    Length: 30 pages
    Date of creation: 18 Jun 2010
    Handle: RePEc:qss:dqsswp:1011
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    Department of Quantitative Social Science. UCL IOE, 20 Bedford Way London WC1H 0AL

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