IDEAS home Printed from https://ideas.repec.org/p/cem/doctra/312.html
   My bibliography  Save this paper

Predicting Academic Performance

Author

Listed:
  • Marcos Gallacher

Abstract

This paper discussed advantages and disadvantages associated with the use of "admission tests" as predictors of performance in undergraduate studies programs. The paper analyzes performance of economics and business administration students. This performance is linked to admission tests results. The paper also analyzes aspects of performance related to (i) differential progress through time, and (ii) differences in the extent to which students have "areas of interest/ability". The paper concludes that admission tests are a usefull tool even when predictions derived from them are far from perfect.

Suggested Citation

  • Marcos Gallacher, 2005. "Predicting Academic Performance," CEMA Working Papers: Serie Documentos de Trabajo. 312, Universidad del CEMA.
  • Handle: RePEc:cem:doctra:312
    as

    Download full text from publisher

    File URL: https://www.ucema.edu.ar/publicaciones/download/documentos/312.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Arlette Beltrán Barco & Karlos La Serna Studzinski, 2008. "¿Qué explica el rendimiento académico en el primer año de estudios universitarios? Un estudio de caso en la Universidad del Pacífico," Working Papers 08-09, Centro de Investigación, Universidad del Pacífico.
    2. Wasi Z. Khan & Sarim Al Zubaidy, 2017. "Prediction of Student Performance in Academic and Military Learning Environment: Use of Multiple Linear Regression Predictive Model and Hypothesis Testing," International Journal of Higher Education, Sciedu Press, vol. 6(4), pages 152-152, August.

    More about this item

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:cem:doctra:312. 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: Valeria Dowding (email available below). General contact details of provider: https://edirc.repec.org/data/cemaaar.html .

    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.