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The interaction of student and program variables for the purpose of developing a model for predicting graduation from graduate programs over a 10-year period
Authors:Dr. Marlene M. Cook  Austin Swanson
Affiliation:(1) Finance and Management, SUNY at Buffalo, 1300 Elmwood Avenue, 14222 Buffalo, NY
Abstract:The purpose of this study was to investigate whether there is some factor or set of factors which will predict the probability of graduation from doctoral programs. This study concentrated on two areas: (a) the factors available to the selection committee when the students apply for admission into graduate programs, and (b) those factors emerging after admission, resulting from the students' meeting program-imposed requirements for graduation. Data were collected from the file of each student admitted to the doctoral program in Educational Administration. The results of the study indicated that program variables are more important than admission variables in predicting graduation. and the technique of Path Analysis is highly recommended to study the problem of student progression through graduate departments.
Keywords:model for predicting graduation
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