Demeke Wolie, Ashagrie Sharew


In this era of globalization and technological revolution, education is considered as a first step for every human activity. It plays a vital role in the development of human capital and is linked with an individual’s well-being and opportunities for better living. In Ethiopia rate of enrollment in school has been growing tremendously since 1990’s. But the quality of education or student’s academic achievement in education is still under questions. Previous studies have never attempted multilevel approach to find student level and school level factors affecting students' academic performance. The main objective of this study was to identify both student level and school level factors affecting student academic performance and to see if there was school variation. Cluster proportional stratified sampling technique was to select sample students. The study has used two level linear regression approaches that enabled us to disaggregate total variation into school level variation and student level variation. The intercept only model showed that school level variance was significant (p=0.000) and 47% of total variation was attributed by schools. The fixed effect model showed that male students performed better than female students. Attitude of students towards learning, high school aspiration, motivation of families to teach, family size of 6-7 and class size of 30-40 had positive impact in academic performance. Whereas workload at home was negatively affecting students' academic performance.


Article visualizations:

Hit counter



Academic achievement of Latino young adolescents: Journal of youths and Adolescents vol 34 (2) 163-175.

Barry, J. (2005). The effect of socio economic status on academic achievement. Spring, Wichita, KS: Wichita state university.

Battle, J., & Lewis, M. (2002). The increasing significance of class: The relative effects of

Bayram, S., & Deniz, L. (2008). Factors that influence academic achievement and attitudes in web based education. International Journal of Instruction, 1(1), 31-48.

Behling, O., & Law, K. S. (2000). Translating questionnaires and other research instruments: problems and solutions. Thousand Oaks, CA: Sage publication, Inc.

Booth, D. & Kee, L. (2006). Family Environment and Educational Attainment of Some School Children in Western Nigeria. Journal of the Science Teachers Association of Nigeria,46 (2), 107-116

Bronfenbrenner, U. (1979). The Ecology of human development. Cambridge, MA: Harvard University Press.

Bysenk & Locksoh (2011). Family characteristics and students’ academic performance in English language. Journal of education 6 (2) 114-122.

Cole, D. and Espinoza, A. (2008). Examining the Academic Success of Latino Students in Science Technology Engineering and Mathematics (STEM) Majors, Journal of College Student Development, Retrieved August 9, 2016from

Crockett, L. J., & Crouter, A. C. (1995). “Pathways through Adolescence.” pp. 1-12 in Pathways through adolescence: Individual development in relation to social contexts, eds. Lisa J. Crocket and Ann C. Crouter, Lawrence Erlbaum Associates, Publishers: Mawah, Ne

Domina, Thurston (2005), leveling the home advantage: assessing the effectiveness of parental

Eamon, M.K. (2005), Social- demographic school, Neighborhood and parenting influences on Ethiopian academy of Science (2012). Workshop Report on Quality of primary education in Ethiopia.

Ginther, D., Haveman, R., & Wolfe, B. (2000). Neighborhood attributes as determinants of children’s outcomes: How robust are the relationships? The Journal of Human Resources, 35(4), 603-642.

House, J.D. (1995). The predictive relationship between academic self-concept, achievement expectancies, and grade performance in college calculus. The Journal of Social Psychology 135,1, 111-112.

Hox, J. (2010). Multilevel Analysis: Techniques and Applications 2nd ed. Quantitative Methodology Series: New York: Routledge.

Hoy, W. K., Tarter, C. J., & Kotthamp, R. B. (2003). Open schools/healthy schools: Measuring organizational climate. Beverly Hills, CA: Corwin Press. Involvement in Elementary school. Sociology of Education. 78, 233-249.

Jaeger A. J. and Eagan M. K. (2007). Exploring the Value of Emotional Intelligence: A Means to Improve Academic Performance. NASPA Journal, 44(3), 512-537.

Jersey. Eristwhistle (1986). Changing patterns in family structure: The plight of children in Nigerian schools: Ibadan: Macmillan Nigeria publishers Ltd.

Juma, F. (2011). The Relationship Between mode of Teacher Motivation and students’ Academic performance in Public Secondary Schools in Bungoma North District. Unpublished M.Ed. Project Report, Moi University, Kenya.

Kassabgy, A., Boraie, D., & Schmidt, R. (2001).Values, rewards, and job satisfaction in ESL/EFL. In Z. Dörnyei& R. Schmidt (Eds.), Motivation and second language acquisition (pp. 213-237). Honolulu: University of Hawaii, Second Language Teaching and Curriculum Center.

Kaur, K., Chung, H. T. and Lee, N. (2010) Correlates of Academic Achievement for Master of Education Students at Open University Malaysia. Paper presented in 6th Pan Commonwealth Forum on Open Learning, 24th-28th November, 2010, Kochi, India. Retrieved 31st Jan, 2016, from

Kayode J S (2013) Gender and servant leadership Effectiveness Among principal of Junior Secondary Schools in South West Nigeria frontiers of Education and management. Vol (1) 2013.

Keith, P. M., Byerly, C., Floerchinger, H., Pence, E. and Thornberg, E. (2006) Deficit and resilience perspectives on performance and campus comfort of adult students, College Student Journal, Retrieved Dec 29, 2016, from;col1

Lane G. Lansangan, M., G. Baking, E., T. Quiambao, D., C. Nicdao, R., V. Nuqui, A., C. Cruz, R. (2015). Correlates of students’ academic performance in intermediate level Journal of Business & Management Studies, 1(2). 1-7.

Mphali, L. M., & Mhlauli, M. B. (2014). An investigation on students’ academic performance for junior secondary schools in Botswana. European Journal of Educational Research, 3(3), 111-127.

Naing, L., Winn, T., & Rusli, B. N. (2006). Practical Issues in Calculating Sample Size for Prevalence Studies, Archives of Orofacial Sciences, 1, 9-14. Retrieved from resources.htm

Oluwagbohunmi M. F. (2014). Gender Issues in Classroom Interaction and Students’ Achievement in Social Studies. Intern. J. Innov. Res. Dev. (5): 742-745. race and socioeconomic status on academic achievement. Journal of Poverty, 6(2), 21-35.

Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical Linear Models: Application and Data Analysis Methods. Sage Publications; Thousand Oaks, CA.

Saxton, J. (2000). Investment in education: Private and public returns. Retrieved from

Sheets, M. E. (2009). The relationship between the condition of school facilities and certain educational outcomes, particularly in rural public high schools in Texas. (Ed.D., Texas Tech University).

Tabachnick, B., & Fidell, L. (2007). Using multivariate statistics (5th ed.). Boston: Pearson

Ugwuja, G. O. (2010). Influence of family background on the academic achievement of senior secondary school students in Nsuka. Unpublished manuscripts thesis).

Yibeltal A., Tewodros G. & Hailemariam A. (2014). Analysis of the determinants of academic achievement of primary education at lay Gayint woreda

Yonas, A. (2012). Factors affecting the academic performance of female students at preparatory level school: the case of Ugas hassen hirsi secondary school, Shenelle wereda, Somali region (unpublished Master’s thesis)

Young lives (2012). Improving Education Quality, Equity and Access in Ethiopia: Findings from the Young Lives School Component.



  • There are currently no refbacks.

Copyright (c) 2018 Demeke Wolie, Ashagrie Sharew

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2015-2018. European Journal of Education Studies (ISSN 2501 - 1111) is a registered trademark of Open Access Publishing Group. All rights reserved.

This journal is a serial publication uniquely identified by an International Standard Serial Number (ISSN) serial number certificate issued by Romanian National Library (Biblioteca Nationala a Romaniei). All the research works are uniquely identified by a CrossRef DOI digital object identifier supplied by indexing and repository platforms. All authors who send their manuscripts to this journal and whose articles are published on this journal retain full copyright of their articles. All the research works published on this journal are meeting the Open Access Publishing requirements and can be freely accessed, shared, modified, distributed and used in educational, commercial and non-commercial purposes under a Creative Commons Attribution 4.0 International License (CC BY 4.0).