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A Comparison of Modelling Strategies for Value-Added Analyses of Educational Data

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Author Info

  • Spencer, N.
  • Fielding, A.

Abstract

Modelling strategies for value-added multilevel models are examined. These types of models typically include an endogenous variable and this causes difficulties for the standard estimation techniques that are commonly used to analyse multilevel models. Two alternative estimation strategies are proposed: one using an instrumental variable approach and the other using a Bayesian analysis through the BUGS software. We conclud that the approach offered by the BUGS software has advantages over more classical estimation methods.

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Bibliographic Info

Paper provided by University of Hertfordshire - Business Schoool in its series Papers with number 2000:7.

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Length: 15 pages
Date of creation: 2000
Date of revision:
Handle: RePEc:fth:hertbu:2000:7

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Postal: University of Hertfordshire, School of Business, Hertford Campus, Mangrove Road Hertford SG13 8QF, UK.
Phone: +44 (0)1707 284800
Fax: +44 (0)1707 284870
Web page: http://www.herts.ac.uk/courses/schools-of-study/business/
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Keywords: ECONOMIC MODELS ; ESTIMATOR;

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Cited by:
  1. Jorge Manzi & Ernesto San Martín & Sébastien Van Bellegem, 2014. "School System Evaluation by Value Added Analysis Under Endogeneity," Psychometrika, Springer, vol. 79(1), pages 130-153, January.
  2. Neil Spencer, 2002. "Combining Modelling Strategies to Analyse Teaching Styles Data," Quality & Quantity: International Journal of Methodology, Springer, vol. 36(2), pages 113-127, May.

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