Analyzing student performance in secondary education examination using logistic regressions

Authors

  • Krishna Prasad Acharya Shanker Dev Campus, Tribhuvan University

DOI:

https://doi.org/10.3126/md.v23i1.35514

Keywords:

Logistic regression model, odds ratio, likelihood ratio tests, Wald statistics

Abstract

The performance of the school examination results (CGPA) of 533 students who were admitted to higher secondary school in management stream of 2073 in Dolakha district was analyzed by examining their cumulative grade point average (CGPA) using binary logistic regression model. Factors affecting the CGPA were investigated. The factor that significantly influenced the CGPA in Secondary Education Examination (SEE) was types of schools. Other factors including gender and teaching language were found to be statistically not significant.

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Author Biography

Krishna Prasad Acharya, Shanker Dev Campus, Tribhuvan University

Associate Professor

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Published

2020-03-09

How to Cite

Acharya, K. P. (2020). Analyzing student performance in secondary education examination using logistic regressions. Management Dynamics, 23(1), 1–8. https://doi.org/10.3126/md.v23i1.35514

Issue

Vol. 23 No. 1 (2020)

Section

Articles

License

Copyright © Research Management Cell, Shanker Dev Campus