The secondary school systems in Ghana face challenges that impact student learning outcomes and system efficiency. A mixed-methods approach combining quantitative analysis with qualitative insights will be employed. Panel data from the Ghana Education Service (GES) will be used to estimate a linear regression model: Y₈ₓ = eta₀ + eta₁X₈ₓ + uᵢ + vₜ + e₈ₓ, where Y₈ₓ represents student performance outcomes in school i at time t, and X is a set of explanatory variables such as teacher qualifications, infrastructure quality, and socioeconomic status. Robust standard errors will be applied to account for potential heteroskedasticity. Our analysis reveals significant variations in student achievement across different regions with a notable difference in outcomes between urban and rural schools (p < 0. 05). The application of panel data estimation techniques has highlighted the need for targeted interventions to improve educational quality, particularly in underserved areas. Policy makers should prioritise resource allocation towards improving infrastructure and teacher training programmes in underperforming regions, with a focus on rural schools. secondary education, Ghana, clinical outcomes, panel data estimation
Kwabena et al. (Wed,) studied this question.
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