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Robust benevolent evaluations of teaching performance

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  • Rogge, Nicky

    ()
    (Hogeschool-Universiteit Brussel (HUB), Belgium; Katholieke Universiteit Leuven (KULeuven) Faculty of Business and Economics, 3000 Leuven (Belgium);)

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    Abstract

    Although benevolent (BoD) weighting has some appealing features for the construction of evaluation scores of teacher performance (i.e., SET-scores), it still suffers from an important drawback in its basic form: the sensitivity of its outcomes to the influence of potential outliers, extreme values, and potential measurement error in the data. The robust order-m BoD approach provides a solution for this problem as it no longer puts central the traditional assumption that all observations (thus also potential outliers or observations infected by measurement errors) should be considered in the computation of the SETscores. As a result, teacher evaluations become less affected by outliers and incorrectness in the data. The main purpose of this paper is to present this order-m BoD approach as a robust alternative to basic BoD and discuss some of its advantages to evaluate teachers. The method is illustrated using data collected at the Hogeschool Universiteit Brussel (Belgium).

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    File URL: https://lirias.hubrussel.be/bitstream/123456789/2492/1/09HRP21.pdf
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    Bibliographic Info

    Paper provided by Hogeschool-Universiteit Brussel, Faculteit Economie en Management in its series Working Papers with number 2009/21.

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    Length: 24 page
    Date of creation: Sep 2009
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    Handle: RePEc:hub:wpecon:200921

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    Web page: http://research.hubrussel.be
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    Related research

    Keywords: Teacher performance; Data envelopment analysis; Composite indicators; Robust order-m estimation; Expert opinion;

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    1. Cinzia Daraio & Leopold Simar, 2003. "Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach," LEM Papers Series 2003/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. De Witte, Kristof & Rogge, Nicky, 2009. "Accounting for exogenous influences in a benevolent performance evaluation of teachers," Working Papers 2009/15, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    3. Daouia, Abdelaati & Simar, Leopold, 2007. "Nonparametric efficiency analysis: A multivariate conditional quantile approach," Journal of Econometrics, Elsevier, vol. 140(2), pages 375-400, October.
    4. Knox Lovell, C. A. & Pastor, Jesus T. & Turner, Judi A., 1995. "Measuring macroeconomic performance in the OECD: A comparison of European and non-European countries," European Journal of Operational Research, Elsevier, vol. 87(3), pages 507-518, December.
    5. Laurens Cherchye & & Timo Kuosmanen, 2002. "Benchmarking Sustainable Development: A Synthetic Meta-index Approach," Others 0210001, EconWPA, revised 08 Oct 2002.
    6. Daraio, Cinzia & Simar, Leopold, 2006. "A robust nonparametric approach to evaluate and explain the performance of mutual funds," European Journal of Operational Research, Elsevier, vol. 175(1), pages 516-542, November.
    7. Laurens Cherchye & Willem Moesen & Nicky Rogge & Tom Puyenbroeck, 2007. "An Introduction to ‘Benefit of the Doubt’ Composite Indicators," Social Indicators Research, Springer, vol. 82(1), pages 111-145, May.
    8. Cinzia Daraio & Leopold Simar, 2005. "Conditional Nonparametric Frontier Models for Convex and Non Convex Technologies: a Unifying Approach," LEM Papers Series 2005/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    10. Kristof DE WITTE & Mika KORTELAINEN, 2008. "Blaming the exogenous environment? Conditional efficiency estimation with continuous and discrete environmental variables," Center for Economic Studies - Discussion papers ces0833, Katholieke Universiteit Leuven, Centrum voor Economische Studiën.
    11. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
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