The Effects of a Set of Covariates on Mathematics Performance of Undergraduate Student: A Case Study of Department of Mathematical Sciences FUTA

Abstract

We employ the use of Generalized Estimating Equation in the longitudinal analysis to investigate the marginal effect of time, load unit, age category and gender on undergraduate performance in Mathematics. The analysis uses both descriptive and inferential statistics as tool to reveal hidden and confirmatory information.

The result reveals that time, load unit and the combined effect of time & load unit have a significant effect on the student performance in Mathematics. It also reveals that time and load unit has a positive effect on students' performance in Mathematics for all the models fitted under different working correlation structure.