Examining university performance and services through discriminant analysis across faculties and college affiliations: A comprehensive mapping of the student experience

Today, there is a greater focus on worldwide academic excellence and quality of education. The industry can be more selective nowadays because there is a wide range of graduates due to a variety of institutions offering many qualifications of different standards and quality. For a higher education institution to be successful, quality of performance and services needs to be ensured and delivered. In this paper, discriminant analysis was used as a means of analyzing the effect of 18 variables upon the dependent variable university’s faculty performance and services which the respondent is affiliated. The study revealed that the student’s overall health had the lowest Wilk’s Lambda value of .930 and the largest Mahalanobis D 2 and significance values of .034 and .001, respectively. In the final model-building, health, inclusive access, and internet accessibility emerge as principal determinants influencing students' engagement with the performance and services of the university. The discriminant analysis can aid educational institutions in identifying their strengths and weaknesses concerning these factors, enabling them to formulate plans for enhancing their performance and services.