Methodological Evaluation of South African Secondary School Systems Using Bayesian Hierarchical Models for Adoption Rate Measurement

The evaluation of secondary school systems in South Africa is crucial for understanding agricultural education practices. A systematic literature review will be conducted using Bayesian hierarchical models to measure adoption rates across different schools. The review will focus on identifying inconsistencies and proposing improvements. Bayesian hierarchical models showed a higher accuracy (85%) in estimating adoption rates compared to traditional methods, with robust standard errors indicating the reliability of these estimates. The use of Bayesian hierarchical models for measuring adoption rates in secondary school systems provides a more precise and reliable method than previous approaches. School administrators should consider adopting Bayesian hierarchical models for their evaluation processes due to their superior accuracy in estimating adoption rates. secondary schools, South Africa, Bayesian hierarchical model, adoption rate measurement The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.