This study aims to identify the factors that affect the academic achievement of all undergraduate students of Haramaya University College of Computing and Informatics. Data were obtained from primary and secondary sources. The primary data were obtained by designing a questionnaire on the student-level and department-level variables. Secondary data were obtained from the registrar of Haramaya University College of Computing and Informatics. The research design is a cross-sectional survey that was conducted on a total number of sample 147 students from six different departments using stratified sampling techniques and choosing the students from the departments using a simple random sampling method. The mean and the standard deviation of the Cumulative Grade Point Average (CGPA) of students are 3.05 and 0.44 respectively. A multilevel regression model without explanation and with explanation was applied to analyze the data. After making a comparison between the models, the multilevel regression model with the explanatory variable is the best accounting for 63% variation among six different departments. This indicated that because of high variation between departments, the model is preferred rather than the classical multiple linear regression. The result of the analysis indicated that factors like the economic status of the family, the father’s education status, the way of choosing department preference, the assessment and making criteria, and the study hours per day are significant variables. Those significant variables have a positive effect on the academic achievement of students. There was a high degree of variation in academic achievement of students among six different departments rather than within homogenous/similar departments.
| Published in | Psychology and Behavioral Sciences (Volume 14, Issue 2) |
| DOI | 10.11648/j.pbs.20251402.13 |
| Page(s) | 34-42 |
| 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), 2025. Published by Science Publishing Group |
Academic Achievement, Statistical Modeling, Determinants of Academic Performance, Multilevel Regression Model and Haramaya University
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APA Style
Sakata, M. G., Zewude, G. A. (2025). Multilevel Regression Model Analysis on Determinant of Academic Achievement of Regular Students: In Case of Haramaya University College of Computing and Informatics. Psychology and Behavioral Sciences, 14(2), 34-42. https://doi.org/10.11648/j.pbs.20251402.13
ACS Style
Sakata, M. G.; Zewude, G. A. Multilevel Regression Model Analysis on Determinant of Academic Achievement of Regular Students: In Case of Haramaya University College of Computing and Informatics. Psychol. Behav. Sci. 2025, 14(2), 34-42. doi: 10.11648/j.pbs.20251402.13
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Download@article{10.11648/j.pbs.20251402.13,
author = {Moti Gelata Sakata and Gemechu Asfaw Zewude},
title = {Multilevel Regression Model Analysis on Determinant of Academic Achievement of Regular Students: In Case of Haramaya University College of Computing and Informatics
},
journal = {Psychology and Behavioral Sciences},
volume = {14},
number = {2},
pages = {34-42},
doi = {10.11648/j.pbs.20251402.13},
url = {https://doi.org/10.11648/j.pbs.20251402.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.pbs.20251402.13},
abstract = {This study aims to identify the factors that affect the academic achievement of all undergraduate students of Haramaya University College of Computing and Informatics. Data were obtained from primary and secondary sources. The primary data were obtained by designing a questionnaire on the student-level and department-level variables. Secondary data were obtained from the registrar of Haramaya University College of Computing and Informatics. The research design is a cross-sectional survey that was conducted on a total number of sample 147 students from six different departments using stratified sampling techniques and choosing the students from the departments using a simple random sampling method. The mean and the standard deviation of the Cumulative Grade Point Average (CGPA) of students are 3.05 and 0.44 respectively. A multilevel regression model without explanation and with explanation was applied to analyze the data. After making a comparison between the models, the multilevel regression model with the explanatory variable is the best accounting for 63% variation among six different departments. This indicated that because of high variation between departments, the model is preferred rather than the classical multiple linear regression. The result of the analysis indicated that factors like the economic status of the family, the father’s education status, the way of choosing department preference, the assessment and making criteria, and the study hours per day are significant variables. Those significant variables have a positive effect on the academic achievement of students. There was a high degree of variation in academic achievement of students among six different departments rather than within homogenous/similar departments.
},
year = {2025}
}
TY - JOUR T1 - Multilevel Regression Model Analysis on Determinant of Academic Achievement of Regular Students: In Case of Haramaya University College of Computing and Informatics AU - Moti Gelata Sakata AU - Gemechu Asfaw Zewude Y1 - 2025/04/28 PY - 2025 N1 - https://doi.org/10.11648/j.pbs.20251402.13 DO - 10.11648/j.pbs.20251402.13 T2 - Psychology and Behavioral Sciences JF - Psychology and Behavioral Sciences JO - Psychology and Behavioral Sciences SP - 34 EP - 42 PB - Science Publishing Group SN - 2328-7845 UR - https://doi.org/10.11648/j.pbs.20251402.13 AB - This study aims to identify the factors that affect the academic achievement of all undergraduate students of Haramaya University College of Computing and Informatics. Data were obtained from primary and secondary sources. The primary data were obtained by designing a questionnaire on the student-level and department-level variables. Secondary data were obtained from the registrar of Haramaya University College of Computing and Informatics. The research design is a cross-sectional survey that was conducted on a total number of sample 147 students from six different departments using stratified sampling techniques and choosing the students from the departments using a simple random sampling method. The mean and the standard deviation of the Cumulative Grade Point Average (CGPA) of students are 3.05 and 0.44 respectively. A multilevel regression model without explanation and with explanation was applied to analyze the data. After making a comparison between the models, the multilevel regression model with the explanatory variable is the best accounting for 63% variation among six different departments. This indicated that because of high variation between departments, the model is preferred rather than the classical multiple linear regression. The result of the analysis indicated that factors like the economic status of the family, the father’s education status, the way of choosing department preference, the assessment and making criteria, and the study hours per day are significant variables. Those significant variables have a positive effect on the academic achievement of students. There was a high degree of variation in academic achievement of students among six different departments rather than within homogenous/similar departments. VL - 14 IS - 2 ER -
College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
College of Computing and Informatics, Haramaya University, Harar, Ethiopia
