IDEAS home Printed from https://ideas.repec.org/a/bjc/journl/v8y2021i1p91-100.html
   My bibliography  Save this article

An Ordinal Logistic Regression Model to Identify Factors Influencing Students Academic Performance at Njala University

Author

Listed:
  • Regina Baby Sesay

    (Department of Mathematics and Statistics, School of Technology, Njala University, Njala, Sierra Leone)

  • Mohamed Kpangay

    (Department of Mathematics and Statistics, School of Technology, Njala University, Njala, Sierra Leone)

  • Sheku Seppeh

    (Department of Mathematics and Statistics, School of Technology, Njala University, Njala, Sierra Leone)

Abstract

The academic performance of students in learning institutions like universities is a significant determinant of the future socio-economic status of the students concerned. An outstanding students’ academic performance can be regarded as an instrument used to achieve rapid economic, social, political, technological and scientific growth in a developing country like Sierra Leone. It is, therefore, the desire of every university student to be on top of their classes in almost all their university courses. Despite the huge desire to excel, there are both academic and socio-economic factors influencing the academic performance of undergraduate students at Njala University. This work, therefore, aims to identify the main factors influencing students’ academic performance at Njala University. For this purpose, a stratified random sampling method was employed to select 284 respondents proportionately from each university faculty. Data were collected from the selected respondents using structured questionnaires. An ordinal logistic regression modeling technique was used to identify the main factors influencing the academic performance of the undergraduate students at Njala University, Njala Campus. Several factors were initially considered as potential determinants of students’ academic performance. However, the result of the empirical analysis revealed that, the number of study hours; father’s income level; mother’s educational level and mother’s income level are the main factors influencing undergraduate students’ academic performance at Njala University. An increase in the number of study hours increases students’ academic performance; an increase in the father’s income level increases students’ academic performance; an increase in the mother’s educational level increases student’s academic performance while an increase in the mother’s income level decreases students’ academic performance.

Suggested Citation

  • Regina Baby Sesay & Mohamed Kpangay & Sheku Seppeh, 2021. "An Ordinal Logistic Regression Model to Identify Factors Influencing Students Academic Performance at Njala University," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 8(1), pages 91-100, January.
  • Handle: RePEc:bjc:journl:v:8:y:2021:i:1:p:91-100
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-8-issue-1/91-100.pdf
    Download Restriction: no

    File URL: https://www.rsisinternational.org/virtual-library/papers/an-ordinal-logistic-regression-model-to-identify-factors-influencing-students-academic-performance-at-njala-university/
    Download Restriction: no
    ---><---

    More about this item

    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:bjc:journl:v:8:y:2021:i:1:p:91-100. 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: Dr. Renu Malsaria (email available below). General contact details of provider: https://rsisinternational.org/journals/ijrsi/ .

    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.