NON-SCHOOL FACTORS ASSOCIATED WITH SCHOOL DROPOUTS IN UGANDA

Authors

  • Douglas Andabati Candia Makerere University, Kampala, Uganda
  • Claire Ashaba Makerere University, Kampala, Uganda
  • James Mukoki Makerere University, Kampala, Uganda
  • Peter Jegrace Jehopio Makerere University, Kampala, Uganda
  • Brenda Kyasiimire Makerere University Business School, Kampala, Uganda

DOI:

https://doi.org/10.20319/pijss.2018.41.477493

Keywords:

School Dropout, Uganda, Probit Regression, Education

Abstract

Currently numerous studies have concerned themselves with reducing school dropout rates premised on school environment. This has resulted into limited impact of interventions fronted to reduce the high school dropout rates. If schools are to register high retention rates commensurate to the high enrollment levels, there is need for studies and interventions to look beyond school related factors which don’t influence school attendance in isolation but operate alongside other factors such as the individual characteristics of the children and their parents especially the household head, household structure and composition as well as the community factors. Therefore, this study aimed at determining non-school factors associated with school dropouts in Uganda. Assessment was done using the probit regression model and secondary data from Uwezo Uganda National Learning Assessment 2014 survey. Children aged 6-16 were assessed based on their household setting and supplementary data obtained through related surveys of their households, local communities and selected local schools where majority of the children in the community were enrolled. The likelihood of a child dropping out of school increased with the child’s age and reduced with; increase in years of preschool attendance and household heads education level. Furthermore, school dropouts were more likely among the disabled children and children with no biological parents in the household. The study recommended focusing on pupil retention, parent sensitization regarding the merits of formal education and the need to promote mandatory pre-school education where children’s’ reading, writing and numeracy can be nurtured at an early age. There is need to explore further the effect of other non-school factors that could influence school dropout directly or indirectly or interactively with school related factors including peer social capital, student loan scheme programmes, government education policies to curb school absenteeism and commitment to their implementation, migration among others

References

Amato, P. R., Patterson, S., & Beattie, B. (2015). Single-Parent Households and Children’s Educational Achievement: A State-Level Analysis. Social Science Research, 53, 191– 202. https://doi.org/10.1016/j.ssresearch.2015.05.012

American Psychological Association. (2012). Facing the school dropout dilemma. Washington, DC: Retrieved from http://www.apa.org/pi/families/resources/school-dropout- prevention.aspx.

Andersen, R. M. (1995). Revisiting the behavioral model and access to medical care: does it matter? Journal of Health and Social Behavior, 36(1), 1-10. Retrieved from http://www.jstor.org/stable/2137284

Baruah, S., & Goswami, U. (2012). Factors influencing school dropouts at the primary level.

International Journal of Farm Sciences, 2(1), 141-144. Retrieved from https://www.inflibnet.ac.in/ojs/index.php/IJFS/article/download/2196/1805

Hunt, F. (2008). Dropping out from school: A cross-country review of literature. Brighton: Centre for International Education, Sussex School of Education. Retrieved from http://www.create-rpc.org/pdf_documents/PTA16.pdf

Kazeem, A., Jensen, L., & Stokes, C. S. (2010). School Attendance in Nigeria: Understanding the Impact and Intersection of Gender, Urban-Rural Residence and Socioeconomic Status. Comparative Education Review, 54(2): 295–319. https://doi.org/10.1086/652139

Kim, H., & Lee, M. (2016). Factors associated with health services utilization between the years 2010 and 2012 in Korea: using Andersen's Behavioral model. Osong Public Health and Research Perspectives, 7(1): 18-25. https://doi.org/10.1016/j.phrp.2015.11.007

Kishore, A. N. R., & Shaji, K. S. (2012). School dropouts: Examining the space of reasons. Indian Journal of Psychological Medicine, 34(4), 318-323. https://doi.org/10.4103/0253- 7176.108201

Klaharn, R. (2017). The need assessment for improving competence of Thai teachers in the measurement and evaluation of analytical thinking. PUPIL: International journal of teaching, education and learning, 1(2), 1-16.

Laadem, M. (2017). E-learning integration in higher education: Focus on Moroccan departments of English. PUPIL: International journal of teaching, education and learning, 1(2), 115- 113.

Lewin, K. M. (2007). Improving access, equity and transitions in education: Creating a Research agenda. Brighton: Centre for International Education, Sussex School of Education. Retrieved from http://www.create-rpc.org/pdf_documents/PTA1.pdf

Ministry of Education and Sports. (2005). A Comprehensive Analysis of Basic Education in Uganda. Education Planning Department, Kampala: Ministry of Education and Sports.

NPA. (2015). Pre-primary and primary education in Uganda: Access, Cost, Quality and Relevance. Kampala: National Planning Authority. Retrieved from http://npa.ug/wp- content/uploads/NDPF5-Paper-3172015.pdf

Oakes, J., Lipton, M., Anderson, L., Stillman, J. (2016). Teaching to change the world. New York: Routledge

Tanja, N., Euđen, C., & Jelena, P. (2017). The role and significance of game in early development of preschool children. PUPIL: International Journal of Teaching, Education and Learning, 1(1), 51-66.

Pace, M. (2017). Adapting Literature to the Language Classroom. PUPIL: International Journal of Teaching, Education and Learning, 1(1), 01-13.

Pobjoy, J. M. (2017). The child in international refugee law. Cambridge: Cambridge University Press https://doi.org/10.1017/9781316798430

Sibanda, A. (2004). Who drops out of school in South Africa? The influence of individual and household characteristics. African Population Studies, 19(1), 99-117.

Soares, T. M., Fernandes, N. D., Nobrega, M. C., & Nicolella, A. C. (2015). Factors associated with dropout rates in public secondary education in Minas Gerais. Educação e Pesquisa, 41(3). Retrieved from https://doi.org/10.1590/S1517-9702201507138589

United Nations. (2013). Youth and Education. Retrieved from http://www.un.org/esa/socdev/documents/youth/fact-sheets/youth-education.pdf.2013.

Uwezo. (2016). Are Our Children Learning? Uwezo Uganda 6th Learning Assessment Report. Kampala: Twaweza East Africa.

Woldehanna, T., Jones, N., & Tefera, B. (2006). Children’s educational completion rates and dropouts in the context of Ethiopia’s national poverty reduction strategy. Contributed paper prepared for presentation at the International Association of Agricultural Economists Conference. 26th Conference

Contributions of Agricultural Economics to Critical Policy Issues. Gold Coast, Australia: International Association of Agricultural Economists

Downloads

Published

2018-04-04

How to Cite

Candia, D. A., Ashaba, C., Mukoki, J., Jehopio, P. J., & Kyasiimire, B. (2018). NON-SCHOOL FACTORS ASSOCIATED WITH SCHOOL DROPOUTS IN UGANDA. PEOPLE: International Journal of Social Sciences, 4(1), 477–493. https://doi.org/10.20319/pijss.2018.41.477493