Abstract

Several tools exist for determining the dominant factor affecting students’ academic performance. Among the tools that have been used so far are correlation regression analysis, linear regression analysis, t-test, ANOVA, content analysis technique, and chi-square. This research deployed the use of analytical hierarchy process (AHP) to determine the dominant factor influencing students’ academic performance. The AHP is done by evaluating the normalized weights of four criteria suggested by the data collected through questionnaires administered to students of the University of Uyo, Nigeria. The result of the study revealed that student-based factor with the eigenvector (priority) of 55.9% is the dominant factor among the four.

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