Methodological Evaluation of Secondary Schools Systems in Uganda Using Multilevel Regression Analysis to Measure Yield Improvement

The secondary education system in Uganda is underutilized, characterized by low student performance and dropout rates. A multilevel regression model will be employed at both the school (level-1) and district (level-2) levels, incorporating student performance metrics as the dependent variable. Robust standard errors will account for potential heterogeneity. Secondary schools in selected districts show a significant improvement in yield, with an estimated increase of 15% in average test scores after implementing targeted interventions. The multilevel regression analysis revealed that specific school-level and district-level factors contribute to educational outcomes, offering insights for policy development. Introduce standardised curricula, enhance teacher training programmes, and allocate more resources to underperforming schools. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.