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Demographic factors and turnover intentions of teachers in public secondary schools in Kenya

Onesmus Kamau ORCID ↗ · Stephen Muathe · Lawrence Wainaina

International Journal of Research in Business and Social Science · 2021 · Vol. 10 / Issue 4 · 363-374

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Overview

Abstract

This study aims to investigate the effect of demographic factors on the turnover intentions of teachers in public secondary schools in Murang’a county Kenya. The study was guided by the following specific objectives: To investigate the association between age and education and turnover intentions; to establish the association between gender and turnover intentions; to determine the association between tenure and turnover intentions and to establish the association between educational level and turnover intentions. The study was guided by the Social exchange and Organization equilibrium theories.  This study was a cross-sectional study and adopted descriptive and explanatory research designs. The target population was 3752 Teachers Service Commission (TSC) teachers in 304 public secondary schools in Murang’a county Kenya.  The study thus used multi-stage random to select a sample size of 400 teachers and 40 schools. A self-administered questionnaire was used to collect the demographic data. Data were analyzed using cross-tabulation and Pearson Chi-square statistics.   The study findings indicated that age has a significant association with turnover intentions while employee tenure, gender, and educational level have no significant association with turnover intentions.

Keywords: {'name': 'Demographic factors, teachers, turnover intentions, public secondary schools, Kenya'}

Authors & affiliations

Onesmus Kamau
Affiliation not supplied

Stephen Muathe
Affiliation not supplied

Lawrence Wainaina
Affiliation not supplied

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Agyeman, C. M., & Ponniah. V.M. (2014). Employee demographic characteristics and their effects on turnover and retention in Msmes. International Journal of Recent Advances in Organizational Behaviour and Decision Sciences, 1 (1), 12-29

DOI: 10.47381/aijre.v27i1.120

DOI: 10.1080/1359432X.2011.626198

Banken H.H.M. (2010). Do HR practices reduce turnover intentions and is this relation mediated by employee engagement. (Unpublished master’s thesis). Tilburg University.

DOI: 10.1016/j.sbspro.2015.10.108

DOI: 10.15373/22778160/July2014/59

DOI: 10.1016/j.dr.2013.08.003

DOI: 10.1108/00483481011030557

DOI: 10.1177/0733464813495958

Chughtai, T.A. (2013). Role of HR practices in turnover intentions with the mediating effect of employee engagement. Wseas Transactions on Business and Economics, (2), 10, 97-103.

DOI: 10.5465/amr.1986.4282625

DOI: 10.19030/jber.v1i9.3045

DOI: 10.1177/0149206305279602

DOI: 10.1037/0021-9010.71.3.500

DOI: 10.2307/3151464

Field, A. P. (2009). Discovering statistics using SPSS, 2nd edition. London: Sage.

Firebaugh, G. (2008). Use panel data to study individual change and repeated cross-section data to study social change: In the seven rules for Social Research (Chapter 6). Princeton, NJ: Princeton University Press.

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, Intention and behavior: An introduction to theory and research, Addison-Wesley, Boston, MA.,

Gay, L., Mills, G., & Airasian, P. (2006). Educational research: Competencies for analysis and applications. New Jersey: Pearson Education.

Hayes, T.M (2015). Demographic characteristics predicting employee turnover intentions.Doctoraldissertation.Retrievedfrom:https://scholarworks.waldenu.edu/cgi/viewcontent.cgi?article=2537zcontext=dissertations.

DOI: 10.6007/IJARBSS/v10-i9/7726

DOI: 10.19044/esj.2020.v16n25p108

Kothari, C. R. (2004). Methods and techniques: Research methodology, (2nd ed.). New Delhi: New Age International Publishers Ltd.

DOI: 10.1002/hrm.20357

Likoko, S. Ndiku J., & Mutsotso, S. (2018). Influence of demographic characteristics on turnover intentions among the academic staff in public diploma teacher training colleges in Kenya. International Journal of Science and Research (IJSR). 27(1), 62–87. DOI: 10.21275/ART2019465

DOI: 10.1080/02642069.2014.939644

Malik, M. (2011). Role Overload, turnover and their effect on layoff survivor’s job retention and productivity. Interdisciplinary Journal of contemporary Research in Business, 2(11), 427-440.

DOI: 10.5430/ijba.v9n4p201

March J. G. & Simon H. A. (1958). Organizations, Wiley, New York.

DOI: 10.4102/sajip.v34i1.415

Mensah R. D. (2014). Effects of human resource management practices on retention of employees in the banking industry in Accra, Ghana. (Unpublished PhD Thesis) Kenyatta University.

DOI: 10.1177/1938965512454595

DOI: 10.1080/1360080X.2012.662739

Mugenda, O. M., & Mugenda, A. (2003). Research methods: Qualitative and quantitative approaches. Nairobi: ACTS Press.

DOI: 10.9790/0837-191211124

DOI: 10.1177/1059601107313307

Ngo-Henha, P.E. (2017). A review of turnover intentions theories. International Journal of Economics and Management Engineering, 11(11), 2760-2767.

Nhema, N., & Mutenheri, E. (2016). Factors that Influence the turnover intentions of employees in the tourism sector in Zimbabwe. International Journal of Management Sciences and Business Research, 5(12), 158-165.

DOI: 10.1108/17511870910928001

DOI: 10.1037/0021-9010.87.4.698

DOI: 10.1016/j.jvb.2013.01.011

Saunders, M., Lewis, P., & Thornhill, A. (2009). Research methods for business students, 5th edition, Great Britain, Prentice Hall.

DOI: 10.1037/0021-9010.69.4.673

Tarmizi, A.N. (2008). Quality work life and turnover intentions: The mediating effect of career and organizational commitment, (Masters Thesis). Business Administration, USM. Retrieved on 30/10/2017, URL: http://eprints,um.my/id/eprint/25416

Verhees, J.M.A. (2012). The relationship between training and employees’ turnover intentions and role of organizational commitment. (Unpublished masters thesis), Tilburg university, Netherlands.

Wamukuru, D. K. (2016). Modelling the effects of teacher demand factors on teacher understaffing in public secondary schools in Kenya. Journal of Education and Practice www.iiste.org. 7, (3). 147-153.

DOI: 10.1108/19355181201000010

DOI: 10.1108/MIP-04-2013-0061

DOI: 10.1177/0149206313518437

Yamane T. (1967). Statistics: An introduction analysis (2nd ed.), New York: Harper and Row

DOI: 10.5897/AJBM11.2312