"Unpacking the Multidimensional Impact of Corruption on Educational Quality and Equity: A Mixed-Methods Study of Private Secondary Education."
Authors
Snr Manager Monitoring and Evaluation –Zimbabwe Anti-Corruption Commission (Zimbabwe)
Mathematics Teacher – Rockhill Private High school, Goromonzi (Zimbabwe)
Co-Director, Munashe Private High school, Mutoko (Zimbabwe)
Second Vice Principal –Munashe Private High School, Mutoko (Zimbabwe)
First Vice Principal –Munashe Private High School, Mutoko (Zimbabwe)
Article Information
DOI: 10.47772/IJRISS.2026.1026EDU0498
Subject Category: Education
Volume/Issue: 10/26 | Page No: 6790-6803
Publication Timeline
Submitted: 2026-07-19
Accepted: 2026-07-24
Published: 2026-08-08
Abstract
This study examines the multifaceted impact of corruption on educational outcomes within the context of private secondary education. While corruption is widely acknowledged as detrimental to public schooling, its specific mechanisms and effects in privatized, fee-paying institutions remain underexplored. This research aims to move beyond a unidimensional understanding by investigating how administrative and pedagogical corruptions differentially shape academic quality and social equity. The study employs a sequential explanatory mixed-methods design. Phase I (Quantitative): A survey measuring perceived corruption, resource allocation, teacher morale, and student achievement was administered to 100 stakeholders (teachers, students, and parents) across three private high schools. Structural Equation Modeling (SEM) was utilized to test the mediating pathways between corruption and outcomes. Phase II (Qualitative): Follow-up semi-structured interviews were conducted with 20 purposively sampled participants (principals, heads of departments, and student leaders) to contextualize the statistical findings and explore the lived experiences of oversight and resistance. The quantitative results indicate that corruption significantly predicts reduced educational equity but has a weaker, non-significant direct effect on overall test scores when mediated by private tutoring. The qualitative data reveal that the "invisibility" of corruption in private schools is maintained through a complicit silence among affluent parents, while the burden of inequity falls disproportionately on scholarship students. Crucially, the presence of active Parent-Teacher Associations (PTAs) emerged as a significant buffer, moderating the destructive effects on teacher motivation. This study contributes the "Corruptive Spiral & Resilient Response" (CSRR) model, which delineates the distinct pathways through which corruption operates in private education. It challenges the assumption that fee-paying schools are immune to systemic malfeasance and offers a practical framework for policy intervention, emphasizing the empowerment of oversight committees over mere punitive measures. The mixed-methods approach provides methodological rigor, revealing the hidden socio-emotional costs of corruption that are often missed by purely quantitative audits.
Keywords
Corruption in Education, Private Schools, Educational Equity, Mixed-Methods
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References
1. Agwu, P., Orjiakor, C., Odii, A., Onalu, C., Nzeadibe, C., Roy, P., Onwujekwe, O. and Okoye, U. (2022) 'Corruption during final external examinations in private secondary schools in Nigeria: qualitative insights into operations and solutions to "Miracle Examination Centres"', SOAS Anti-Corruption Evidence. [Google Scholar] [Crossref]
2. Ashley, L.D., Mcloughlin, C., Aslam, M., Engel, J., Wales, J., Rawal, S., Batley, R., Kingdon, G., Nicolai, S. and Rose, P. (2014) The role and impact of private schools in developing countries: a rigorous review of the evidence. London: Department for International Development. [Google Scholar] [Crossref]
3. Attama, P.I., Egwuma, S. and Ijeoma, U.C. (2022) 'Addressing administrative corruption in education sector: the use of Information and Communication Technology (ICT) in Nigeria', Nigerian Journal of Public Administration and Local Government, 22(1). [Google Scholar] [Crossref]
4. Baum, D.R., Cooper, R. and Lusk-Stover, O. (2018) 'Regulating market entry of low-cost private schools in Sub-Saharan Africa: Towards a theory of private education regulation', International Journal of Educational Development, 58, pp. 12–25. [Google Scholar] [Crossref]
5. Braun, V. and Clarke, V. (2006) 'Using thematic analysis in psychology', Qualitative Research in Psychology, 3(2), pp. 77–101. [Google Scholar] [Crossref]
6. Bryman, A. (2016) Social Research Methods. 5th edn. Oxford: Oxford University Press. [Google Scholar] [Crossref]
7. Cohen, J. (1988) Statistical Power Analysis for the Behavioral Sciences. 2nd edn. Hillsdale: Lawrence Erlbaum Associates. [Google Scholar] [Crossref]
8. Creswell, J.W. and Creswell, J.D. (2018) Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. 5th edn. London: SAGE. [Google Scholar] [Crossref]
9. DeVellis, R.F. (2017) Scale Development: Theory and Applications. 4th edn. London: SAGE. [Google Scholar] [Crossref]
10. Etikan, I., Musa, S.A. and Alkassim, R.S. (2016) 'Comparison of convenience sampling and purposive sampling', American Journal of Theoretical and Applied Statistics, 5(1), pp. 1–4. [Google Scholar] [Crossref]
11. Faul, F., Erdfelder, E., Buchner, A. and Lang, A.G. (2009) 'Statistical power analyses using G*Power 3.1', Behavior Research Methods, 41(4), pp. 1149–1160. [Google Scholar] [Crossref]
12. Fetters, M.D., Curry, L.A. and Creswell, J.W. (2013) 'Achieving integration in mixed methods designs', Health Services Research, 48(6), pp. 2134–2156. [Google Scholar] [Crossref]
13. Hair, J.F., Black, W.C., Babin, B.J. and Anderson, R.E. (2019) Multivariate Data Analysis. 8th edn. London: Cengage Learning. [Google Scholar] [Crossref]
14. Hallak, J. and Poisson, M. (2007) Corrupt Schools, Corrupt Universities: What Can Be Done? Paris: UNESCO International Institute for Educational Planning (IIEP). Available at: https://www.iiep.unesco.org (Accessed: 14 July 2026). [Google Scholar] [Crossref]
15. Härmä, J. (2021) Low-fee private schooling and poverty in developing countries. London: Bloomsbury Academic. [Google Scholar] [Crossref]
16. Heyneman, S.P. (2004) 'Education and corruption', International Journal of Educational Development, 24(6), pp. 637–648. [Google Scholar] [Crossref]
17. Hu, L.T. and Bentler, P.M. (1999) 'Cutoff criteria for fit indexes in covariance structure analysis', Structural Equation Modeling, 6(1), pp. 1–55. [Google Scholar] [Crossref]
18. IIEP-UNESCO (2021) ETICO: Corruption in Education Stops Here. Paris: UNESCO International Institute for Educational Planning. Available at: https://etico.iiep.unesco.org (Accessed: 14 July 2026). [Google Scholar] [Crossref]
19. IIEP-UNESCO (2023) Corruption and Education: The Gender Dimension. Paris: UNESCO International Institute for Educational Planning. Available at: https://www.iiep.unesco.org (Accessed: 14 July 2026). [Google Scholar] [Crossref]
20. Kim, T. (2015) 'From corruption in education to a corrupting education: the ascendance of private tutoring in South Korea', KCI Journal, 32(2), pp. 89–112. [Google Scholar] [Crossref]
21. Krueger, R.A. and Casey, M.A. (2015) Focus Groups: A Practical Guide for Applied Research. 5th edn. London: SAGE. [Google Scholar] [Crossref]
22. Lincoln, Y.S. and Guba, E.G. (1985) Naturalistic Inquiry. Newbury Park: SAGE. [Google Scholar] [Crossref]
23. Lynn, M.R. (1986) 'Determination and quantification of content validity', Nursing Research, 35(6), pp. 382–385. [Google Scholar] [Crossref]
24. Miles, M.B., Huberman, A.M. and Saldaña, J. (2020) Qualitative Data Analysis: A Methods Sourcebook. 4th edn. London: SAGE. [Google Scholar] [Crossref]
25. Milovanovitch, M. (2019) 'Expectations, distrust and corruption in education: findings on prevention through education improvement', Current Issues in Comparative Education, 21(1), pp. 54–68. [Google Scholar] [Crossref]
26. Mohamed, F.H. (2023) Utbildningskorruption i Kenya. Bachelor's thesis. Linnaeus University. [Google Scholar] [Crossref]
27. Morgan, D.L. (2014) 'Pragmatism as a paradigm for social research', Qualitative Inquiry, 20(8), pp. 1045–1053. [Google Scholar] [Crossref]
28. Nowell, L.S., Norris, J.M., White, D.E. and Moules, N.J. (2017) 'Thematic analysis: striving to meet the trustworthiness criteria', International Journal of Qualitative Methods, 16(1), pp. 1–13. [Google Scholar] [Crossref]
29. Nunnally, J.C. and Bernstein, I.H. (1994) Psychometric Theory. 3rd edn. New York: McGraw-Hill. [Google Scholar] [Crossref]
30. Nyaude, O. (2021) Thesis on combating corruption to enhance academic achievement in secondary schools. Pretoria: University of South Africa. [Google Scholar] [Crossref]
31. Osipian, A. (2008) 'Corruption hierarchies in higher education in the former Soviet Bloc', International Journal of Educational Development, 29(3), pp. 314–323. [Google Scholar] [Crossref]
32. Palinkas, L.A., Horwitz, S.M., Green, C.A., Wisdom, J.P., Duan, N. and Hoagwood, K. (2015) 'Purposeful sampling for qualitative data collection and analysis in mixed method implementation research', Administration and Policy in Mental Health, 42(5), pp. 533–544. [Google Scholar] [Crossref]
33. Stahl, C. (2018) 'The Analysis of Corruption in the Education Sector Through a Behavioural Lens', ETICO Blog, IIEP-UNESCO. Available at: https://etico.iiep.unesco.org (Accessed: 14 July 2026). [Google Scholar] [Crossref]
34. Tabachnick, B.G. and Fidell, L.S. (2019) Using Multivariate Statistics. 7th edn. Boston: Pearson. [Google Scholar] [Crossref]
35. Transparency International (2013) Global Corruption Report: Education. London: Routledge. Available at: https://www.transparency.org (Accessed: 14 July 2026). [Google Scholar] [Crossref]
36. Transparency International (2026) Transparency International Calls for Gender-Responsive Reforms to Curb Corruption and Safeguard Inclusion in Africa's Education Systems. Available at: https://tirwanda.org (Accessed: 14 July 2026). [Google Scholar] [Crossref]
37. Tshishonga, N.S. (2024) 'Nature and impact of corruption on the dysfunctionality of the South African universities', in Examining Corruption and the Sustainable Development Goals. Hershey, PA: IGI Global, pp. 181–197. [Google Scholar] [Crossref]
38. U4 Anti-Corruption Resource Centre (2006) Corruption in the Education Sector. Bergen: Chr. Michelsen Institute. Available at: https://www.u4.no (Accessed: 14 July 2026). [Google Scholar] [Crossref]
39. UNESCO (2007) UNESCO Report Spotlights Corruption in Education Systems. Paris: UNESCO. Available at: https://news.un.org (Accessed: 14 July 2026). [Google Scholar] [Crossref]
40. Wolcott, H.F. (2019) Ethnography: A Way of Seeing. 3rd edn. Lanham: AltaMira Press. [Google Scholar] [Crossref]
41. World Bank (2010) Africa Development Indicators 2010: Silent and Lethal—How Quiet Corruption Undermines Africa's Development Efforts. Washington, DC: The World Bank. Available at: https://blogs.worldbank.org (Accessed: 14 July 2026). [Google Scholar] [Crossref]
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