IDEAS home Printed from https://ideas.repec.org/p/bir/birmec/98-23.html
   My bibliography  Save this paper

Why Use Arbitrary Points Scores: Ordered Categories in Models of Educational Progress

Author

Listed:
  • Fielding, A.

Abstract

Graded educational qualifications are commonly treated using arbitrary points scores in modelling educational progress. This paper discusses some of the problems of such pratices from statistical and substantive viewpoint. Random effects models of ordered categorisations are suggested as a preferable way of handling such issues.

Suggested Citation

  • Fielding, A., 1998. "Why Use Arbitrary Points Scores: Ordered Categories in Models of Educational Progress," Discussion Papers 98-23, Department of Economics, University of Birmingham.
  • Handle: RePEc:bir:birmec:98-23
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kersting, Erasmus & Kilby, Christopher, 2014. "Aid and democracy redux," European Economic Review, Elsevier, vol. 67(C), pages 125-143.
    2. Corrado, L. & Fingleton, B., 2011. "Multilevel Modelling with Spatial Effects," SIRE Discussion Papers 2011-13, Scottish Institute for Research in Economics (SIRE).
    3. Ivy Liu & Alan Agresti, 2005. "The analysis of ordered categorical data: An overview and a survey of recent developments," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 14(1), pages 1-73, June.
    4. repec:eee:ecomod:v:212:y:2008:i:3:p:460-471 is not listed on IDEAS
    5. Brown, Sarah & Taylor, Karl & Wheatley Price, Stephen, 2005. "Debt and distress: Evaluating the psychological cost of credit," Journal of Economic Psychology, Elsevier, vol. 26(5), pages 642-663, October.
    6. Antony Fielding, 2004. "Scaling for Residual Variance Components of Ordered Category Responses in Generalised Linear Mixed Multilevel Models," Quality & Quantity: International Journal of Methodology, Springer, vol. 38(4), pages 425-433, August.

    More about this item

    Keywords

    EDUCATION ; ECONOMIC MODELS;

    JEL classification:

    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

    Statistics

    Access and download statistics

    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:bir:birmec:98-23. 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: (Colin Rowat). General contact details of provider: http://edirc.repec.org/data/debhauk.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.