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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 an`d quality of education. The industry can be more selective nowadays because there is a wide range of graduates due to various institutions offering many qualifications of different standards and quality. For a higher education institution to succeed, quality of performance and services must be ensured and delivered. This paper used discriminant analysis to analyze the effect of 18 variables upon the dependent variable, the university’s faculty performance and services, with which the respondent is affiliated. The contribution of this work lies in its attempt to characterize the student’s perception of the university’s performance and services across university faculties. The study revealed that the student’s overall health had the lowest Wilk’s Lambda value of .930 and the largest Mahalanobis D2 and significance values of .034 and .001, respectively. It suggests that it had the most excellent discriminating power among the variables. According to the findings, the discovered factors may be utilized to distinguish between the four college institutes or departments based on their performance and services. The discriminant analysis can assist institutions and departments in identifying their strengths and shortcomings in terms of these factors, allowing them to build plans to improve their performance and services. 


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