IDEAS home Printed from https://ideas.repec.org/a/ids/ijpqma/v6y2010i2p213-230.html
   My bibliography  Save this article

Multicriteria decision-making models for the evaluation and appraisal of teachers' performance

Author

Listed:
  • Avijit Mazumdar
  • Saurav Datta
  • Siba Sankar Mahapatra

Abstract

In the present reporting, a methodology adapted from multicriteria decision-making (MCDM) has been proposed in order to evaluate the overall performance of a teacher. Grey relational analysis has been explored in order to prioritise quality attributes that are expected to influence performance level of a teacher. Based on COPRAS-method, numerical values (interval scores) on different attributes assigned for a group of teachers (multiplied by individual weightage) have been accumulated to compute an overall quality estimate indicating the performance level of individual teachers. Application feasibility as well as the efficiency of this method and guidelines in solving such a multi-attribute decision-making problem has been described illustratively in this paper.

Suggested Citation

  • Avijit Mazumdar & Saurav Datta & Siba Sankar Mahapatra, 2010. "Multicriteria decision-making models for the evaluation and appraisal of teachers' performance," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 6(2), pages 213-230.
  • Handle: RePEc:ids:ijpqma:v:6:y:2010:i:2:p:213-230
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=34406
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijpqma:v:6:y:2010:i:2:p:213-230. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=177 .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.