MULTIVARIATE ANALYSIS OF VARIANCE ON ACADEMIC PERFORMANCE OF STUDENTS VIA UTME AND POST-UTME SCORES

Abstract

This research work is on the academic performance of Imo State University students in UTME and Post-UTME via multivariate analysis of variance using three faculties and five academic sessions as factor 1 and factor 2 respectively. The faculties were Science, Business Administration and Social Sciences, while the academic sessions were 2017/2018, 2018/2019, 2019/2020, 2020/2021 and 2021/2022. The results of 750 students were randomly selected from the faculties and thereafter, 50 students were randomly selected in the faculties of study. The same procedure was adopted for the other academic sessions and the study’s dataset was summarized for data analysis. The IBM SPSS software package was used for the data analysis. The results of the analysis revealed the following; there was no interaction between the academic sessions and the faculties based on the academic performance of the students enrolled in Imo State University, Owerri via their UTME and Post-UTME scores; the vector means performed the same in the five academic sessions, that is the academic sessions do not affect the performance of students in UTME and Post UTME scores; while the vector means performed differently in the three faculties, that is the faculties one is admitted into do affect the performance of students in UTME and Post UTME scores.