This study evaluates the secondary school systems in Senegal through a multilevel regression analysis to assess clinical outcomes. A multilevel regression model was employed, incorporating school-level variables (e. g. , teacher qualifications, infrastructure) and student-level factors (such as socioeconomic status). The analysis revealed significant variations in student performance across different schools, with some schools showing a 10% higher graduation rate compared to others. The multilevel regression model effectively identified key determinants of educational quality, providing insights for policy makers and educators. Policy recommendations include targeted interventions for underperforming schools to improve their outcomes. The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.
Ibrahima Diop (Wed,) studied this question.