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OALib Journal期刊
ISSN: 2333-9721
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Empirical Evaluation of a Preliminary Model to Identify Low-Risk MBA Applicants

Keywords: predictive model , MBA , validity , MBA applicants , risk

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Abstract:

This article reports on the second stage of the model, namely to empiricallyevaluate the model’s performance and validity across all threeof the identified categories. These categories are ‘Low-to-no risk’ applicantsfor the MBA; and those applicants who did not complete thedegree in 3 years, classified as ‘Medium-to-low risk’ applicants who areexpected to complete their degree in extended study year, and ‘High-risk’applicants who are not expected to complete their degrees and whodrop out of the programme. The final-year MBA students at the PBS in2004 and 2005 served as the research population. The results were verysatisfactory. Concerning the categories Low-to-no risk and Medium-to-lowrisk applicants, the model can be used as predictive tool, presentinga validity higher than 60% (p = 0.9) and 90% (p = 0.7) respectively.Caution, however, looms at the category of High-risk applicants wherethe model judges too harshly with an error of 13.7% (p = 0.7).

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