FACTORS AFFECTING THE ACADEMIC PERFORMANCE OF STUDENTS AT HIGHER SECONDARY SCHOOL LEVEL IN MALAKAND DISTRICT

Abstract

This study examines the factors affecting the students' academic performance at the Malakand district's higher secondary school level employing linear statistical modeling. Many predictors of the individual, parental/household, and institutional characteristics have been experimented. The stepwise regression identified the best subset of the covariates in each category. The model fit results show that past academic performance, study at home, and gender was the best subset of predictors and significantly affect the students' academic performance. Further, the models testify that if a student could not perform well, the school should have attained the college level's tuition facility. Similarly, regarding parental/family and college characteristics, education (especially father), separate room, house-size, labs/library, electricity, and moderately small class size significantly affect the college students' academic performance in the Malakand district, Pakistan.