Risk reduction in Rwanda's secondary school systems has been a focus for improving educational outcomes and resource allocation efficiency. A Bayesian hierarchical model was employed to analyse data from Rwandan secondary schools. This approach allowed for the integration of multiple sources of information and estimation of school-level risks with uncertainty quantification. The analysis identified a significant proportion (35%) of schools at risk, necessitating targeted support strategies. Bayesian hierarchical modelling provided nuanced insights into school system vulnerabilities, guiding more effective resource distribution and intervention planning. Immediate attention should be given to the identified high-risk schools with tailored educational and administrative support programmes. secondary education, risk reduction, Bayesian hierarchical model, Rwanda The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.
Ruzindana et al. (Sat,) studied this question.
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