IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Robust benevolent evaluations of teaching performance

  • Rogge, Nicky

    ()

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

Registered author(s):

    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).

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: https://lirias.hubrussel.be/bitstream/123456789/2492/1/09HRP21.pdf
    Download Restriction: no

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

    as
    in new window

    Length: 24 page
    Date of creation: Sep 2009
    Date of revision:
    Handle: RePEc:hub:wpecon:200921
    Contact details of provider: Web page: http://research.hubrussel.be

    More information through EDIRC

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. Cinzia Daraio & Léopold Simar, 2007. "Conditional nonparametric frontier models for convex and nonconvex technologies: a unifying approach," Journal of Productivity Analysis, Springer, vol. 28(1), pages 13-32, October.
    2. Laurens Cherchye & & Timo Kuosmanen, 2002. "Benchmarking Sustainable Development: A Synthetic Meta-index Approach," Others 0210001, EconWPA, revised 08 Oct 2002.
    3. 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.
    4. 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.
    5. De Witte, K. & Rogge, N., 2009. "Accounting for exogenous influences in a benevolent performance evaluation of teachers," Working Papers 15, Top Institute for Evidence Based Education Research.
    6. 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.
    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 & Léopold Simar, 2005. "Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach," Journal of Productivity Analysis, Springer, vol. 24(1), pages 93-121, 09.
    9. 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.
    10. 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.
    11. Daouia, Abdelaati & Simar, Leopold, 2007. "Nonparametric efficiency analysis: A multivariate conditional quantile approach," Journal of Econometrics, Elsevier, vol. 140(2), pages 375-400, October.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:hub:wpecon:200921. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sabine Janssens)

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.