Modeling Primary School Absenteeism and Academic Performance in Ethiopia: A Multivariate and Count Regression Models Approaches

Edossa Merga Terefe; Zeytu Gashaw Asfaw

doi:doi:10.11648/j.ajtas.20180701.12

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Modeling Primary School Absenteeism and Academic Performance in Ethiopia: A Multivariate and Count Regression Models Approaches

Edossa Merga Terefe, Zeytu Gashaw Asfaw

Published in American Journal of Theoretical and Applied Statistics (Volume 7, Issue 1)

Received: 21 November 2017 Accepted: 1 December 2017 Published: 5 January 2018

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Abstract

School absenteeism and low academic performance at primary schools remain a big issue for developing countries like Ethiopia. Thus, this study aims to determine predicting factors influencing academic performances and school absenteeism jointly at primary schools in Ethiopia. A cross-sectional data were obtained from the Young Lives project from wave 1 (the starting month of academic year) and wave 2 (the last month of academic year). Multivariate regression model was used to investigate the predictors on the linear combination of academic performances and count regression model was also used to investigate the predictor of school absenteeism. In fact, both Poisson and Negative Binomial Regression Models were considered but the latter better fit to the data that have been used for this study than the former model. The result at national level showed mean of school absenteeism and academic performance at wave 1, respectively are 6 days and 67.64 scores and the average performance at wave 2 is also 61.44 score. It has been found out that the number of meals, number of siblings, mother’s literacy, survivor-ship of mother, type of school siblings attending, pre-school attendance, time to get to school, grade repeating, school drop outing, extra class attendances and the availability of helping person with school works at home have a combined effect on the school absenteeism and academic performance. Thus, potential stakeholders should pay attention for the aforementioned factors so as to reduce school absenteeism and then maximize academic performance.

Published in	American Journal of Theoretical and Applied Statistics (Volume 7, Issue 1)
DOI	10.11648/j.ajtas.20180701.12
Page(s)	8-20
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), 2018. Published by Science Publishing Group

Keywords

School Absenteeism, Academic Performance, MANOVA, Canonical Correlation, Count Regression, DAG

References

[1]	Human Rights Education in Primary and Secondary School Systems: A Self-assessment Guide for Governments, (United Nations, 2012).
[2]	Early child development; the base for learning society, (Keating and Hertzman, 1999).
[3]	Our Children, Our Future – Achieving Improved Primary and Secondary Education Outcomes for Indigenous Students, (Zubrick et al., 2006).
[4]	Breaking down barriers to learning: primary school-based counseling and support; believe in children, (Murray et al., 2012).
[5]	Preventing conduct problems and improving school readiness: evaluation of the Incredible Years Teacher and Child Training Programs in high-risk schools, (Reid, 2008).
[6]	The Contributing Factors to Student Absenteeism/ Truancy and the Effectiveness of Social Services and Interventions, (Teasley, 2004).
[7]	The Effect of Attendance on Academic Performance; Mediterranean Journal of Social Sciences MCSER Publishing, Rome-Italy; Vol 5 No 23, (Colby, 2014).
[8]	Class Attendance in College: A Meta-Analytic Review of the Relationship of Class Attendance with Grades and Student Characteristics; Review of Educational ResearchVol. 80, No. 2 (June 2010), pp. 272-295, (Crede, 2010).
[9]	Ethiopian Ministry of Education Annual report; Education for All 2015 National Review, (EFMoE, 2015).
[10]	Impact of Different Types of Schooling on Achievement in the School System: Evidence from Ethiopia, ESP Working Paper Series, University of Sussex, (B. Azubuike, 2015).
[11]	GLM Multivariate, MANOVA and Canonical Correlation; Statistical Associates blue book series, (G. D. Garson, 2015 p.18).
[12]	Using Multivariate Statistics; 5th edition, (Tabachnick and Fidell, 2006).
[13]	Canonical Correlation-copy write 2013, (Karl L. Wuensch, 2013).

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APA Style

Edossa Merga Terefe, Zeytu Gashaw Asfaw. (2018). Modeling Primary School Absenteeism and Academic Performance in Ethiopia: A Multivariate and Count Regression Models Approaches. American Journal of Theoretical and Applied Statistics, 7(1), 8-20. https://doi.org/10.11648/j.ajtas.20180701.12

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ACS Style

Edossa Merga Terefe; Zeytu Gashaw Asfaw. Modeling Primary School Absenteeism and Academic Performance in Ethiopia: A Multivariate and Count Regression Models Approaches. Am. J. Theor. Appl. Stat. 2018, 7(1), 8-20. doi: 10.11648/j.ajtas.20180701.12

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AMA Style

Edossa Merga Terefe, Zeytu Gashaw Asfaw. Modeling Primary School Absenteeism and Academic Performance in Ethiopia: A Multivariate and Count Regression Models Approaches. Am J Theor Appl Stat. 2018;7(1):8-20. doi: 10.11648/j.ajtas.20180701.12

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@article{10.11648/j.ajtas.20180701.12,
  author = {Edossa Merga Terefe and Zeytu Gashaw Asfaw},
  title = {Modeling Primary School Absenteeism and Academic Performance in Ethiopia: A Multivariate and Count Regression Models Approaches},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {7},
  number = {1},
  pages = {8-20},
  doi = {10.11648/j.ajtas.20180701.12},
  url = {https://doi.org/10.11648/j.ajtas.20180701.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20180701.12},
  abstract = {School absenteeism and low academic performance at primary schools remain a big issue for developing countries like Ethiopia. Thus, this study aims to determine predicting factors influencing academic performances and school absenteeism jointly at primary schools in Ethiopia. A cross-sectional data were obtained from the Young Lives project from wave 1 (the starting month of academic year) and wave 2 (the last month of academic year). Multivariate regression model was used to investigate the predictors on the linear combination of academic performances and count regression model was also used to investigate the predictor of school absenteeism. In fact, both Poisson and Negative Binomial Regression Models were considered but the latter better fit to the data that have been used for this study than the former model. The result at national level showed mean of school absenteeism and academic performance at wave 1, respectively are 6 days and 67.64 scores and the average performance at wave 2 is also 61.44 score. It has been found out that the number of meals, number of siblings, mother’s literacy, survivor-ship of mother, type of school siblings attending, pre-school attendance, time to get to school, grade repeating, school drop outing, extra class attendances and the availability of helping person with school works at home have a combined effect on the school absenteeism and academic performance. Thus, potential stakeholders should pay attention for the aforementioned factors so as to reduce school absenteeism and then maximize academic performance.},
 year = {2018}
}

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TY  - JOUR
T1  - Modeling Primary School Absenteeism and Academic Performance in Ethiopia: A Multivariate and Count Regression Models Approaches
AU  - Edossa Merga Terefe
AU  - Zeytu Gashaw Asfaw
Y1  - 2018/01/05
PY  - 2018
N1  - https://doi.org/10.11648/j.ajtas.20180701.12
DO  - 10.11648/j.ajtas.20180701.12
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  - 8
EP  - 20
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20180701.12
AB  - School absenteeism and low academic performance at primary schools remain a big issue for developing countries like Ethiopia. Thus, this study aims to determine predicting factors influencing academic performances and school absenteeism jointly at primary schools in Ethiopia. A cross-sectional data were obtained from the Young Lives project from wave 1 (the starting month of academic year) and wave 2 (the last month of academic year). Multivariate regression model was used to investigate the predictors on the linear combination of academic performances and count regression model was also used to investigate the predictor of school absenteeism. In fact, both Poisson and Negative Binomial Regression Models were considered but the latter better fit to the data that have been used for this study than the former model. The result at national level showed mean of school absenteeism and academic performance at wave 1, respectively are 6 days and 67.64 scores and the average performance at wave 2 is also 61.44 score. It has been found out that the number of meals, number of siblings, mother’s literacy, survivor-ship of mother, type of school siblings attending, pre-school attendance, time to get to school, grade repeating, school drop outing, extra class attendances and the availability of helping person with school works at home have a combined effect on the school absenteeism and academic performance. Thus, potential stakeholders should pay attention for the aforementioned factors so as to reduce school absenteeism and then maximize academic performance.
VL  - 7
IS  - 1
ER  -

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Author Information

Edossa Merga Terefe

Department of Statistics, Wollega University, Nekemte, Ethiopia
Zeytu Gashaw Asfaw

School of Mathematical and Statistical Sciences, Hawassa University, Hawassa, Ethiopia

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APA Style

Edossa Merga Terefe, Zeytu Gashaw Asfaw. (2018). Modeling Primary School Absenteeism and Academic Performance in Ethiopia: A Multivariate and Count Regression Models Approaches. American Journal of Theoretical and Applied Statistics, 7(1), 8-20. https://doi.org/10.11648/j.ajtas.20180701.12

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ACS Style

Edossa Merga Terefe; Zeytu Gashaw Asfaw. Modeling Primary School Absenteeism and Academic Performance in Ethiopia: A Multivariate and Count Regression Models Approaches. Am. J. Theor. Appl. Stat. 2018, 7(1), 8-20. doi: 10.11648/j.ajtas.20180701.12

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AMA Style

Edossa Merga Terefe, Zeytu Gashaw Asfaw. Modeling Primary School Absenteeism and Academic Performance in Ethiopia: A Multivariate and Count Regression Models Approaches. Am J Theor Appl Stat. 2018;7(1):8-20. doi: 10.11648/j.ajtas.20180701.12

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@article{10.11648/j.ajtas.20180701.12,
  author = {Edossa Merga Terefe and Zeytu Gashaw Asfaw},
  title = {Modeling Primary School Absenteeism and Academic Performance in Ethiopia: A Multivariate and Count Regression Models Approaches},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {7},
  number = {1},
  pages = {8-20},
  doi = {10.11648/j.ajtas.20180701.12},
  url = {https://doi.org/10.11648/j.ajtas.20180701.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20180701.12},
  abstract = {School absenteeism and low academic performance at primary schools remain a big issue for developing countries like Ethiopia. Thus, this study aims to determine predicting factors influencing academic performances and school absenteeism jointly at primary schools in Ethiopia. A cross-sectional data were obtained from the Young Lives project from wave 1 (the starting month of academic year) and wave 2 (the last month of academic year). Multivariate regression model was used to investigate the predictors on the linear combination of academic performances and count regression model was also used to investigate the predictor of school absenteeism. In fact, both Poisson and Negative Binomial Regression Models were considered but the latter better fit to the data that have been used for this study than the former model. The result at national level showed mean of school absenteeism and academic performance at wave 1, respectively are 6 days and 67.64 scores and the average performance at wave 2 is also 61.44 score. It has been found out that the number of meals, number of siblings, mother’s literacy, survivor-ship of mother, type of school siblings attending, pre-school attendance, time to get to school, grade repeating, school drop outing, extra class attendances and the availability of helping person with school works at home have a combined effect on the school absenteeism and academic performance. Thus, potential stakeholders should pay attention for the aforementioned factors so as to reduce school absenteeism and then maximize academic performance.},
 year = {2018}
}

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TY  - JOUR
T1  - Modeling Primary School Absenteeism and Academic Performance in Ethiopia: A Multivariate and Count Regression Models Approaches
AU  - Edossa Merga Terefe
AU  - Zeytu Gashaw Asfaw
Y1  - 2018/01/05
PY  - 2018
N1  - https://doi.org/10.11648/j.ajtas.20180701.12
DO  - 10.11648/j.ajtas.20180701.12
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  - 8
EP  - 20
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20180701.12
AB  - School absenteeism and low academic performance at primary schools remain a big issue for developing countries like Ethiopia. Thus, this study aims to determine predicting factors influencing academic performances and school absenteeism jointly at primary schools in Ethiopia. A cross-sectional data were obtained from the Young Lives project from wave 1 (the starting month of academic year) and wave 2 (the last month of academic year). Multivariate regression model was used to investigate the predictors on the linear combination of academic performances and count regression model was also used to investigate the predictor of school absenteeism. In fact, both Poisson and Negative Binomial Regression Models were considered but the latter better fit to the data that have been used for this study than the former model. The result at national level showed mean of school absenteeism and academic performance at wave 1, respectively are 6 days and 67.64 scores and the average performance at wave 2 is also 61.44 score. It has been found out that the number of meals, number of siblings, mother’s literacy, survivor-ship of mother, type of school siblings attending, pre-school attendance, time to get to school, grade repeating, school drop outing, extra class attendances and the availability of helping person with school works at home have a combined effect on the school absenteeism and academic performance. Thus, potential stakeholders should pay attention for the aforementioned factors so as to reduce school absenteeism and then maximize academic performance.
VL  - 7
IS  - 1
ER  -

Copy | Download