Article

PHYSICAL PLANNING AND GROWTH OF PRIVATE PRIMARY SCHOOLS IN KENYA🔗

PLANIFICACIÓN FÍSICA Y CRECIMIENTO DE LAS ESCUELAS PRIMARIAS PRIVADAS EN KENIA🔗

English Full Article Citation
 

Author(s)🔗

Julius Njiri , California Miramar University, USA
Levi Mbugua , Technical University of Kenya, Kenya
Kellen Kiambati, Karatina University, Kenya
Dominic Mwenja, California Miramar University, USA

https://doi.org/10.35564/jmbe.2021.0002

Abstract🔗

In Kenya, the number of private schools has increased more than four times since the introduction of the Free Primary Education (FPE) policy in 2003. The number of children attending private primary schools increased from 4.6% in 2004 to 11.5% in 2007. With such increment, there has been challenges on the determinants of growth of education institutions. It is against this background that the study examined the influence of physical planning on the growth of private primary schools in Kenya. the study was anchored in the resource dependency view where the managers of institutions have the ability to acquire, Plan and maintain resources that are important to the growth of an organization. The target population in this study comprised of 7,418 private primary schools in all eight regions of Kenya. Cluster sampling technique was employed of 50% of the target regions were sampled, leading to four out of eight regions being selected. From these regions random sampling was then used to select 320 respondents who were either the principals’/Head teachers or deputy principal of the schools. A questionnaire was used to collect data and Structural Equation Modeling was used to analyse data. The study found a strong and significant correlation between physical planning and growth of primary schools. This study therefore recommended that physical planning was an important factor in determining growth of private schools. The study further recommends that owners of private primary schools should be aware of the facilities that are crucial and most important to students in the teaching and learning. This will intern influence the growth of the private primary schools in Kenya.

Keywords
Kenya, schools management, structural equation modeling

Resumen🔗

En Kenia, el número de escuelas privadas se ha multiplicado por cuatro desde la introducción de la política de educación primaria gratuita (FPE) en 2003. El número de niños que asisten a escuelas primarias privadas aumentó del 4,6% en 2004 al 11,5% en 2007. Con tal incremento, ha habido desafíos sobre los determinantes del crecimiento de las instituciones educativas. Es en este contexto, el estudio examinó la influencia de la planificación física en el crecimiento de las escuelas primarias privadas en Kenia. El estudio se basó en la teoría de la dependencia de recursos, donde los gerentes de las instituciones tienen la capacidad de adquirir, planificar y mantener los recursos que son importantes para el crecimiento de una organización. La población objetivo de este estudio comprendió 7,418 escuelas primarias privadas en las ocho regiones de Kenia. Se empleó la técnica de muestreo por conglomerados del 50% de las regiones objetivo que se muestrearon, lo que llevó a la selección de cuatro de las ocho regiones. A continuación, se utilizó un muestreo aleatorio de estas regiones para seleccionar a 320 encuestados que eran los directores / directores o subdirectores de las escuelas. Se utilizó un cuestionario para recopilar datos y se utilizó el modelado de ecuaciones estructurales para analizar los datos. El estudio encontró una correlación fuerte y significativa entre la planificación física y el crecimiento de las escuelas primarias. Por lo tanto, este estudio recomendó que la planificación física era un factor importante para determinar el crecimiento de las escuelas privadas. El estudio recomienda además que los propietarios de escuelas primarias privadas sean conscientes de las instalaciones que son cruciales y más importantes para los estudiantes en la enseñanza y el aprendizaje. Esto influirá en el crecimiento de las escuelas primarias privadas en Kenia.

Palabras clave
Kenia, gestión escolar, modelo de ecuaciones estructurales

Received
10 August 2020

Accepted
11 November 2020

Copyright
This is an open access article under the CC BY-NC license.

Citation🔗

Njiri, J.; Mbugua, L.; Kiambati, K.; & Mwenja, D. (2021). Physical planning and growth of private primary schools in Kenya. Journal of Management and Business Education, 4(1), x-x. https://doi.org/10.35564/jmbe.2021.0002

References🔗

Altonji, J., Elder, T., and Taber, C. (2015). Selection on observed and unobserved variables: Assessing the effectiveness of catholic schools. Journal of Political Economy, 113(01):151-184. https://doi.org/10.1086/426036

Andrabi, T., Das, J., and Khwaja, A. (2018). A dime a day: The possibilities and limits of private schooling in Pakistan. Comparative Education Review, 52(3):329-355. https://doi.org/10.1086/588796

Bold, T., Kimenyi, M., Mwabu, G., and Sandefur, J. (2013). The high return to low-cost private schooling in a developing country. London: International Growth Centre (IGC) London School of Economics. https://doi.org/10.2139/ssrn.1973021

Civelek, M (2018) Essentials of structural modeling. Zea-E-Books 64 https//digital commons.unl.edu/zeabook/64

Desai, S., Dubey, A., Vanneman, R., Banerji, R. (2019). Private schooling in India: A new educational landscape. In India Policy Forum. National Council of Applied Economic Research. (5)138.

Dixon, P. (2016). Why the denial? low-cost private schools in developing countries and their contributions to education. Econ Journal Watch, 9(3).

Douglas, G and Thomas, A. (2014). Cronbach alpha reliability: Interval Estimation, hypothesis testing and sample size planning. Journal of organization behavior. Doi:10.1002/job.1960

Huang, J., Liu, M., and Bowling, N. (2015). Insufficient effort responding: Examining an insidious confound in survey data. Journal of Applied Psychology, 100(3), 828. https://doi.org/10.1037/a0038510

French, R. (2018). Schooling participation and pupil achievement in India. Technical report, Department of Quantitative Social Science. London, Institute of Education, University of London

Gogo, J. (2012). The role of the church in the provision of early childhood education in Nairobi Province, Kenya.

Javaid, K., Musaddiq, T., and Sultan, A. (2016). Prying the private school effect: an empirical analysis of learning outcomes of public and private schools in Pakistan. Technical report, Lahore: University of Management Sciences (LUMS), Department of Economics.

Mayama, L. (2012). Effects of proprietor Interests on Quality of Education in private secondary schools in Bungoma South District in Kenya. Unpublished M. Ed. Thesis, Masinde Muliro University of Science and Technology.

Nishimura, M. and Yamano, T. (2013). Emerging private education in Africa: determinants of school choice in rural Kenya. World Development, 43:266275. https://doi.org/10.1016/j.worlddev.2012.10.001

Oketch, M., Mutisya, M., Ngware, M., and Ezeh, A. (2016). Why are there proportionately more poor pupils enrolled in non-state schools in urban Kenya in spite of FPE policy? International Journal of Educational Development, 30(1):23-32. https://doi.org/10.1016/j.ijedudev.2009.08.001

Oketch, M. and Ngware, M. (2018). Free primary education still excludes the poorest of the poor in urban kenya. Development in Practice, 20(4-5):603-610. https://doi.org/10.1080/09614521003763095

Oketch, M. and Somerset, A. (2017). Free primary education and after in Kenya: Enrolment impact, quality effects, and the transition to secondary school. Create Pathways to Access Series, Research Monograph (37) 42, ISBN: 0-901881-44-9

Otieno, S., Bwisa, H., and Kihoro, J. (2012). Influence of strategic orientation on performance of Kenya's manufacturing firms operating under east African regional integration. International Journal of Business and Social Science, 3(5). https://doi.org/10.5296/ijld.v2i1.1326

Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2013). Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Administration and policy in mental health and mental health services research, 42(5), 533-544. https://doi.org/10.1007/s10488-013-0528-y

Rose, P. (2016). Collaborating in education for all? experiences of government support for non- state provision of basic education in south Asia and sub-Saharan Africa. Public administration and development, 26(3):219-229. https://doi.org/10.1002/pad.420

Susan, R., Nigel, S., Ana I. C. (2014) Management Research: Applying the Principles Routledge ISBN-10: 9780415628129. ISBN-13: 978-0415628129, ASIN: 0415628121

Tooley, J. (2015). Challenging educational injustice: Grassroots privatization in south Asia and sub-Saharan Africa. Oxford Review of Education, 39(4):446-463. https://doi.org/10.1080/03054985.2013.820466

Tooley, J., Bao, Y., Dixon, P., and Merrifield, J. (2018). School choice and academic performance: Some evidence from developing countries. Journal of School Choice, 5(1):1-39. https://doi.org/10.1080/15582159.2011.548234

Tooley, J. and Dixon, P. (2017). Private education is good for the poor: A study of private schools serving the poor in low-income countries. Cato Institute Washington, DC.

Venkatesh, V., Brown, S., and Bala, H. (2013). Bridging the qualitative-quantitative divide: Guidelines for conducting mixed methods research in information systems. MIS quarterly, 21-54. https://doi.org/10.25300/misq/2013/37.1.02