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

Author

Listed:
  • Neil H. Spencer

    (University of Hertfordshire)

  • Antony Fielding

    (University of Birmingham)

Abstract

Summary 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 as available through the BUGS software. We conclude that the approach offered by the BUGS software has advantages over more classical estimation methods

Suggested Citation

  • Neil H. Spencer & Antony Fielding, 2002. "A Comparison of Modelling Strategies for Value-Added Analyses of Educational Data," Computational Statistics, Springer, vol. 17(1), pages 103-116, March.
    • Handle: RePEc:spr:compst:v:17:y:2002:i:1:d:10.1007_s001800200093
    DOI: 10.1007/s001800200093
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    References listed on IDEAS

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    1. Philip Heidelberger & Peter D. Welch, 1983. "Simulation Run Length Control in the Presence of an Initial Transient," Operations Research, INFORMS, vol. 31(6), pages 1109-1144, December.
    2. Harvey Goldstein & Sally Thomas, 1996. "Using Examination Results as Indicators of School and College Performance," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 159(1), pages 149-163, January.
    3. Spencer, N.H., 1998. "Consistent Parameter Estimation for Lagged Multilevel Models," Papers 1998:19, University of Hertfordshire - Business Schoool.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Peter Ebbes & Ulf Böckenholt & Michel Wedel, 2004. "Regressor and random‐effects dependencies in multilevel models," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 58(2), pages 161-178, May.
    2. Jorge Manzi & Ernesto San Martín & Sébastien Van Bellegem, 2014. "School System Evaluation by Value Added Analysis Under Endogeneity," Psychometrika, Springer;The Psychometric Society, vol. 79(1), pages 130-153, January.
    3. 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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    More about this item

    Keywords

    Hierarchical Modelling; Iterative Generalized Least Squares; Gibbs Sampling; Endogeneity;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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