Investigating Predictors of Examination Result Data Using Logistic Regression (A Case Study of Imo State Polytechnic, Umuagwo, Imo State, Nigeria)

Opara Jude; Esemokumo Perewarebo Akpos; Iheagwara Andrew Ihuoma; Okenwe Idochi; OSUJI GEORGE A.

doi:doi:10.11648/j.ajtas.20130206.24

| Peer-Reviewed

Investigating Predictors of Examination Result Data Using Logistic Regression (A Case Study of Imo State Polytechnic, Umuagwo, Imo State, Nigeria)

Opara Jude, Esemokumo Perewarebo Akpos, Iheagwara Andrew Ihuoma, Okenwe Idochi, OSUJI GEORGE A.

Published in American Journal of Theoretical and Applied Statistics (Volume 2, Issue 6)

Received: 5 December 2013 Published: 20 December 2013

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

This study tends to analyze the school examination results (scores) of 300 randomly selected students of Imo State Polytechnic, Umuagwo near Owerri, Imo State, Nigeria who offer English Language and Mathematics as general courses, using the binary logistic regression model with the aim of examining how some factors (variables) in secondary school level contribute to the performance of the students in the Polytechnic. The analysis is performed on the basis of the explanatory variables viz; gender, type of secondary schools, category of secondary schools, board of examinations and location of secondary schools, where scores of students in English Language and Mathematics are assumed to be the response variables. Applying the method of Correspondence Analysis revealed that there exist a significant correlation between board of examinations and location of schools, which made the analysis to be into two stages. The first stage is based on using English Language and Mathematics as a response variable with gender, type of secondary schools, category of secondary schools, and board of examinations as the explanatory variables. The second stage, on the other hand, English Language and Mathematics is the response variable, while gender, type of secondary schools, category of secondary schools, and location of schools are the explanatory variables. The odds ratio analysis compares the scores obtained in two examinations viz English language and Mathematics. The result of the analysis revealed that females are always showing best performances in Mathematics than English examination in all the two stages carried out in this paper. The study also showed that performances of students from girls’ schools are found to be the best in English Language course examination than those of students from boys; secondary schools. Furthermore, the study revealed that government schools always show better performance in English course examination than in Mathematics.

Published in	American Journal of Theoretical and Applied Statistics (Volume 2, Issue 6)
DOI	10.11648/j.ajtas.20130206.24
Page(s)	255-267
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2013. Published by Science Publishing Group

Keywords

Odds Ratio, Wald Statistics, Logistic Regression Model, Correspondence Analysis

References

[1]	Abdalla M.E. (2012): An Application on Multinomial Logistic Regression Model. Pok.j.stat.oper.res. Vol. VIII No. 2 2012 pp 271-291.
[2]	Iheagwara, A.I., Nwobi, A.C, Esemokumo, P.A, and Opara, J. (2013): Investigating Predictors of Incident Hypertension Using Logistic Multiple Regression. International Journal of Applied Mathematics and Modeling, IJA2M@KINDI PUBLICATIONS. Vol.1, No.4, 1-17. October, 2013. ISSN: 2336-0054.
[3]	Jewell NP. (2004). Statistics for Epidemiology. New York, Chapman & Hall/CRC.
[4]	Kleinbaum DG, Klein M. (2002). Logistic Regression: A Self-Learning Text. 2nd Ed. New York, Springer-Verlag.
[5]	Sarma R and Sarmah, P. (1999): Analysis of Results Based on Grades, in Proceedings of the Second International Conference on Operations and Quantitative Management in the Global Business Environment (ICOQM), Ahmadabad, India, 3 – 6th January 1999, p.282 – 290.
[6]	Saha, G. and Sarmah, P. (2010): Statistical Analysis of School Examination Result with Special Reference to the State of Tripura: North-East India, Journal of Statistics.
[7]	Soudarssanane M.B., Karthigeyan S., Stephen A. and Sahai, A. (2006): Key Predictors of High Blood Pressure and Hypertension among Adolescents: A Simple Prescription for Prevention. Indian Journal of Community Medicine Vol. 31, No. 3, July – September, 2006.

Cite This Article

Plain Text BibTeX RIS

APA Style

Opara Jude, Esemokumo Perewarebo Akpos, Iheagwara Andrew Ihuoma, Okenwe Idochi, OSUJI GEORGE A. (2013). Investigating Predictors of Examination Result Data Using Logistic Regression (A Case Study of Imo State Polytechnic, Umuagwo, Imo State, Nigeria). American Journal of Theoretical and Applied Statistics, 2(6), 255-267. https://doi.org/10.11648/j.ajtas.20130206.24

Copy | Download

ACS Style

Opara Jude; Esemokumo Perewarebo Akpos; Iheagwara Andrew Ihuoma; Okenwe Idochi; OSUJI GEORGE A. Investigating Predictors of Examination Result Data Using Logistic Regression (A Case Study of Imo State Polytechnic, Umuagwo, Imo State, Nigeria). Am. J. Theor. Appl. Stat. 2013, 2(6), 255-267. doi: 10.11648/j.ajtas.20130206.24

Copy | Download

AMA Style

Opara Jude, Esemokumo Perewarebo Akpos, Iheagwara Andrew Ihuoma, Okenwe Idochi, OSUJI GEORGE A. Investigating Predictors of Examination Result Data Using Logistic Regression (A Case Study of Imo State Polytechnic, Umuagwo, Imo State, Nigeria). Am J Theor Appl Stat. 2013;2(6):255-267. doi: 10.11648/j.ajtas.20130206.24

Copy | Download

@article{10.11648/j.ajtas.20130206.24,
  author = {Opara Jude and Esemokumo Perewarebo Akpos and Iheagwara Andrew Ihuoma and Okenwe Idochi and OSUJI GEORGE A.},
  title = {Investigating Predictors of Examination Result Data Using Logistic Regression (A Case Study of Imo State Polytechnic, Umuagwo, Imo State, Nigeria)},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {2},
  number = {6},
  pages = {255-267},
  doi = {10.11648/j.ajtas.20130206.24},
  url = {https://doi.org/10.11648/j.ajtas.20130206.24},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20130206.24},
  abstract = {This study tends to analyze the school examination results (scores) of 300 randomly selected students of Imo State Polytechnic, Umuagwo near Owerri, Imo State, Nigeria who offer English Language and Mathematics as general courses, using the binary logistic regression model with the aim of examining how some factors (variables) in secondary school level contribute to the performance of the students in the Polytechnic. The analysis is performed on the basis of the explanatory variables viz; gender, type of secondary schools, category of secondary schools, board of examinations and location of secondary schools, where scores of students in English Language and Mathematics are assumed to be the response variables. Applying the method of Correspondence Analysis revealed that there exist a significant correlation between board of examinations and location of schools, which made the analysis to be into two stages. The first stage is based on using English Language and Mathematics as a response variable with gender, type of secondary schools, category of secondary schools, and board of examinations as the explanatory variables. The second stage, on the other hand, English Language and Mathematics is the response variable, while gender, type of secondary schools, category of secondary schools, and location of schools are the explanatory variables. The odds ratio analysis compares the scores obtained in two examinations viz English language and Mathematics. The result of the analysis revealed that females are always showing best performances in Mathematics than English examination in all the two stages carried out in this paper. The study also showed that performances of students from girls’ schools are found to be the best in English Language course examination than those of students from boys; secondary schools. Furthermore, the study revealed that government schools always show better performance in English course examination than in Mathematics.},
 year = {2013}
}

Copy | Download

TY  - JOUR
T1  - Investigating Predictors of Examination Result Data Using Logistic Regression (A Case Study of Imo State Polytechnic, Umuagwo, Imo State, Nigeria)
AU  - Opara Jude
AU  - Esemokumo Perewarebo Akpos
AU  - Iheagwara Andrew Ihuoma
AU  - Okenwe Idochi
AU  - OSUJI GEORGE A.
Y1  - 2013/12/20
PY  - 2013
N1  - https://doi.org/10.11648/j.ajtas.20130206.24
DO  - 10.11648/j.ajtas.20130206.24
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 255
EP  - 267
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20130206.24
AB  - This study tends to analyze the school examination results (scores) of 300 randomly selected students of Imo State Polytechnic, Umuagwo near Owerri, Imo State, Nigeria who offer English Language and Mathematics as general courses, using the binary logistic regression model with the aim of examining how some factors (variables) in secondary school level contribute to the performance of the students in the Polytechnic. The analysis is performed on the basis of the explanatory variables viz; gender, type of secondary schools, category of secondary schools, board of examinations and location of secondary schools, where scores of students in English Language and Mathematics are assumed to be the response variables. Applying the method of Correspondence Analysis revealed that there exist a significant correlation between board of examinations and location of schools, which made the analysis to be into two stages. The first stage is based on using English Language and Mathematics as a response variable with gender, type of secondary schools, category of secondary schools, and board of examinations as the explanatory variables. The second stage, on the other hand, English Language and Mathematics is the response variable, while gender, type of secondary schools, category of secondary schools, and location of schools are the explanatory variables. The odds ratio analysis compares the scores obtained in two examinations viz English language and Mathematics. The result of the analysis revealed that females are always showing best performances in Mathematics than English examination in all the two stages carried out in this paper. The study also showed that performances of students from girls’ schools are found to be the best in English Language course examination than those of students from boys; secondary schools. Furthermore, the study revealed that government schools always show better performance in English course examination than in Mathematics.
VL  - 2
IS  - 6
ER  -

Copy | Download

Author Information

Opara Jude

Department of Statistics, Imo State University, Owerri Nigeria
Esemokumo Perewarebo Akpos

Federal Polytechnic Ekewe, Yenagoa, Bayelsa State, Nigeria
Iheagwara Andrew Ihuoma

Department of Statistics, Imo State University, Owerri Nigeria
Okenwe Idochi

Department of Statistics, School of Applied Sciences, Rivers State Polytechnic, Bori, Rivers State Nigeria
OSUJI GEORGE A.

Department of Statistics, Nnamdi Azikiwe University, PMB 5025, Awka Anambra State Nigeria

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Opara Jude, Esemokumo Perewarebo Akpos, Iheagwara Andrew Ihuoma, Okenwe Idochi, OSUJI GEORGE A. (2013). Investigating Predictors of Examination Result Data Using Logistic Regression (A Case Study of Imo State Polytechnic, Umuagwo, Imo State, Nigeria). American Journal of Theoretical and Applied Statistics, 2(6), 255-267. https://doi.org/10.11648/j.ajtas.20130206.24

Copy | Download

ACS Style

Opara Jude; Esemokumo Perewarebo Akpos; Iheagwara Andrew Ihuoma; Okenwe Idochi; OSUJI GEORGE A. Investigating Predictors of Examination Result Data Using Logistic Regression (A Case Study of Imo State Polytechnic, Umuagwo, Imo State, Nigeria). Am. J. Theor. Appl. Stat. 2013, 2(6), 255-267. doi: 10.11648/j.ajtas.20130206.24

Copy | Download

AMA Style

Opara Jude, Esemokumo Perewarebo Akpos, Iheagwara Andrew Ihuoma, Okenwe Idochi, OSUJI GEORGE A. Investigating Predictors of Examination Result Data Using Logistic Regression (A Case Study of Imo State Polytechnic, Umuagwo, Imo State, Nigeria). Am J Theor Appl Stat. 2013;2(6):255-267. doi: 10.11648/j.ajtas.20130206.24

Copy | Download

@article{10.11648/j.ajtas.20130206.24,
  author = {Opara Jude and Esemokumo Perewarebo Akpos and Iheagwara Andrew Ihuoma and Okenwe Idochi and OSUJI GEORGE A.},
  title = {Investigating Predictors of Examination Result Data Using Logistic Regression (A Case Study of Imo State Polytechnic, Umuagwo, Imo State, Nigeria)},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {2},
  number = {6},
  pages = {255-267},
  doi = {10.11648/j.ajtas.20130206.24},
  url = {https://doi.org/10.11648/j.ajtas.20130206.24},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20130206.24},
  abstract = {This study tends to analyze the school examination results (scores) of 300 randomly selected students of Imo State Polytechnic, Umuagwo near Owerri, Imo State, Nigeria who offer English Language and Mathematics as general courses, using the binary logistic regression model with the aim of examining how some factors (variables) in secondary school level contribute to the performance of the students in the Polytechnic. The analysis is performed on the basis of the explanatory variables viz; gender, type of secondary schools, category of secondary schools, board of examinations and location of secondary schools, where scores of students in English Language and Mathematics are assumed to be the response variables. Applying the method of Correspondence Analysis revealed that there exist a significant correlation between board of examinations and location of schools, which made the analysis to be into two stages. The first stage is based on using English Language and Mathematics as a response variable with gender, type of secondary schools, category of secondary schools, and board of examinations as the explanatory variables. The second stage, on the other hand, English Language and Mathematics is the response variable, while gender, type of secondary schools, category of secondary schools, and location of schools are the explanatory variables. The odds ratio analysis compares the scores obtained in two examinations viz English language and Mathematics. The result of the analysis revealed that females are always showing best performances in Mathematics than English examination in all the two stages carried out in this paper. The study also showed that performances of students from girls’ schools are found to be the best in English Language course examination than those of students from boys; secondary schools. Furthermore, the study revealed that government schools always show better performance in English course examination than in Mathematics.},
 year = {2013}
}

Copy | Download

TY  - JOUR
T1  - Investigating Predictors of Examination Result Data Using Logistic Regression (A Case Study of Imo State Polytechnic, Umuagwo, Imo State, Nigeria)
AU  - Opara Jude
AU  - Esemokumo Perewarebo Akpos
AU  - Iheagwara Andrew Ihuoma
AU  - Okenwe Idochi
AU  - OSUJI GEORGE A.
Y1  - 2013/12/20
PY  - 2013
N1  - https://doi.org/10.11648/j.ajtas.20130206.24
DO  - 10.11648/j.ajtas.20130206.24
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 255
EP  - 267
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20130206.24
AB  - This study tends to analyze the school examination results (scores) of 300 randomly selected students of Imo State Polytechnic, Umuagwo near Owerri, Imo State, Nigeria who offer English Language and Mathematics as general courses, using the binary logistic regression model with the aim of examining how some factors (variables) in secondary school level contribute to the performance of the students in the Polytechnic. The analysis is performed on the basis of the explanatory variables viz; gender, type of secondary schools, category of secondary schools, board of examinations and location of secondary schools, where scores of students in English Language and Mathematics are assumed to be the response variables. Applying the method of Correspondence Analysis revealed that there exist a significant correlation between board of examinations and location of schools, which made the analysis to be into two stages. The first stage is based on using English Language and Mathematics as a response variable with gender, type of secondary schools, category of secondary schools, and board of examinations as the explanatory variables. The second stage, on the other hand, English Language and Mathematics is the response variable, while gender, type of secondary schools, category of secondary schools, and location of schools are the explanatory variables. The odds ratio analysis compares the scores obtained in two examinations viz English language and Mathematics. The result of the analysis revealed that females are always showing best performances in Mathematics than English examination in all the two stages carried out in this paper. The study also showed that performances of students from girls’ schools are found to be the best in English Language course examination than those of students from boys; secondary schools. Furthermore, the study revealed that government schools always show better performance in English course examination than in Mathematics.
VL  - 2
IS  - 6
ER  -

Copy | Download