Every department with a graduate program annually faces the task of admitting or rejecting prospective graduate students and allocating the scarce funds available to support them. In the past, these decisions have been made in a simplistic and subjective manner. Information is regularly accumulated on each applicant, but most departments have no framework to incorporate all relevant information in their decisions. Consequently, information important to the decision-making process may be ignored or improperly used by weighting it too heavily or too lightly while making these decisions. The information on former graduate students has not been systematically analyzed as an aid to this decision-making process.
This paper describes an analytical and systematic approach to predict the potential academic performance of graduate students in a particular program. This information would assist a department in accepting or rejecting an individual student. It would also provide guidelines for ranking students for financial support from limited funds.
graduate students, academic performance