Modelling academic performance of students in Bolgatanga East District using Panel Regression

Abstract

The findings of a study that modeled the academic performance of the pupils in the Bolgatanga East District using panel regression analysis are presented in this abstract. The study concentrated on how student performance was impacted by attendance, residence, age, class size, parental occupation, and sex. To identify patterns and trends in the academic performance of pupils, secondary data was gathered from 15 junior high schools in the Bolgatanga East District.  The various elements that affect pupils' academic success were identified using panel regression and nested design models. The study's findings demonstrated the significance of attendance, age, and gender as predictors of academic achievement. Furthermore, it was discovered that student age played a considerable role, with younger pupils outperforming older ones in terms of marks. The performance of male and female students differed slightly, with girls outperforming males in some courses. Exam scores were higher for students who frequently attended classes, indicating that attendance had a beneficial effect on performance. Overall, the study highlights the significance of attendance, age, and sex in predicting students' outcomes and offers insights into the elements impacting academic achievement in the Bolgatanga East District. Interventions and policies targeted at raising district students' achievement can be informed by the data. It is crucial to educate stakeholders on the importance of these elements in relation to district students' academic success.