This study evaluates the secondary school systems in Nigeria to assess their effectiveness in improving educational outcomes. A multilevel regression model will be employed to analyse data from secondary schools across Nigeria. The model will account for both school-level and student-level factors that influence educational performance, incorporating fixed effects for school characteristics and random effects for unobserved heterogeneity. The analysis revealed significant differences in test scores between schools with varying levels of investment and support structures, indicating a need for targeted interventions to enhance educational yield. Multilevel regression analysis provides valuable insights into the complex dynamics affecting secondary school performance in Nigeria. The findings suggest that robust institutional support is crucial for improving student outcomes in environmental science subjects. Schools should be provided with additional resources and training opportunities to address identified weaknesses, while policymakers need to strengthen funding mechanisms and policy frameworks to ensure equitable educational access. The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.
Ekpeyi et al. (Thu,) studied this question.
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