Cohort Analysis Model: Underpinning Theories and Applications for Planning and Tracking Education Progress in Nigeria

Abstract

The cohort analysis model is a robust framework that enables longitudinal tracking of individuals or groups who share common characteristics, such as birth year or enrolment period, over time. This model is particularly relevant for educational planning in Nigeria, where challenges such as population growth, regional disparities, and resource constraints require strategic interventions. Cohort analysis provides insights into enrolment trends, progression rates, dropout patterns, and the impact of policies, facilitating evidence-based decision-making. This paper explores the theoretical underpinnings of the cohort analysis model, including demographic transition theory, human capital theory, and life course theory, and their application in addressing Nigeria's unique educational challenges. Key strengths of the model include its ability to provide data-driven insights, monitor educational attainment, and evaluate policy impacts. However, implementation in Nigeria faces significant challenges, including inadequate data infrastructure, insufficient funding, technical expertise gaps, and socio-political instability. Recommendations for effective implementation include strengthening data management systems, increasing funding for research and planning, building technical capacity, promoting regional equity, and leveraging technology for analysis and visualisation. By adopting the cohort analysis model, Nigeria can design equitable and sustainable educational strategies that address current challenges and anticipate future needs. This approach is critical for achieving the Sustainable Development Goals (SDGs) and fostering long-term human capital development in the country.