PDF(Pubmed)
Abstract：
The main thrust of this study was to assess the infrastructure inequality and academic performance nexus. Education statistics (2018) from the Ghana Statistical Service was used for the study. Firstly, ANOVA was used to estimate whether district-level academic performance differed at various infrastructure distribution levels (Infrastructure Quintile levels). The study further assessed the relationship between infrastructure and academic performance based on the System General Methods of Moments technique. It was found that the difference in district-level academic performance is conditioned on the infrastructure inequality. Also, previous academic performance had a significant positive relationship with performance. A U-shaped relationship found to exist between academic performance and class size, The study recommends the pursuit of policies aimed at bridging the education infrastructure gap such as prioritisation of education infrastructure development in deprived communities, so as, to impact academic performance.
摘要：
这项研究的主要目的是评估基础设施不平等和学业成绩的关系。加纳统计局的教育统计数据（2018年）用于研究。首先,方差分析用于估计在各种基础设施分布水平（基础设施五等水平）上地区水平的学习成绩是否不同。该研究进一步评估了基础设施和学业成绩之间的关系，基于系统一般方法的矩技术。发现地区级学业成绩的差异取决于基础设施的不平等。此外，以前的学业成绩与成绩有显著的正相关关系。学业成绩和班级规模之间存在U型关系，该研究建议推行旨在弥合教育基础设施差距的政策，例如优先考虑贫困社区的教育基础设施发展，所以，影响学业成绩。
