Brief Communication: Predictive Value of Veterinary Student Application Data for Performance in Clinical Year 4.

Journal of veterinary medical education(2022)

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摘要
Student application packages for admission to the University of Georgia College of Veterinary Medicine currently include the following information: undergraduate grade point average (GPA), GPA in science courses, GPA in non-science courses, GPA for the last 45 hours (GPALast45hrs), Graduate Record Examination Quantitative and Verbal Reasoning (GRE-QV) score, GRE Analytical Writing (GRE-AW) score, and grades for 10 required prerequisite courses. From these data, an academics score of up to 70 points is calculated. Faculty reviewers also score each applicant up to a maximum of 30 points (FileScore), giving a total possible score of 100 points. Previous analyses demonstrated that the file score and academic variables are significantly related to first-year GPA of veterinary students; however, it is unknown how these variables relate to performance in clinical rotations. The present study pooled the two most recent graduating classes to compare each academic score component to student clinical rotation grades received during year 4 (CGrYr4) in the teaching hospital. Only one component of the student application packages-the pre-admission GRE-QV score-significantly correlated with CGrYr4.
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关键词
applicant file data,clinical year performance,student admissions,undergraduate transcript data,veterinary college
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