TITLE

Use of Demographic and Quantitative Admissions Data to Predict Academic Difficulty Among Professional Physical Therapist Students

AUTHOR(S)
Utzman, Ralph R.; Riddle, Daniel L.; Jewell, Dianne V.
PUB. DATE
September 2007
SOURCE
Physical Therapy;Sep2007, Vol. 87 Issue 9, p1164
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Background and Purpose The purpose of this study was to determine whether admissions data could be used to estimate physical therapist students' risk for academic difficulty. Subjects A nationally representative sample of 20 physical therapist education programs provided data on 3,582 students. Methods Programs provided data regarding student demographic characteristics, undergraduate grade point average (uGPA), quantitative and verbal Graduate Record Examination scores (qGRE, vGRE), and academic difficulty. Data were analyzed using logistic regression. Rules for predicting risk of academic difficulty were developed. Results A prediction rule that included uGPA, vGRE, qGRE, age, and race or ethnicity was developed from the entire sample. Prediction rules for individual programs showed large variation. Discussion and Conclusion Undergraduate grade point average. GRE scores, age, and race or ethnicity can be useful for estimating student academic risk. Programs should calculate their own estimates of student risk. Academic programs should use risk estimates in combination with other data to recruit, admit, mad retain students.
ACCESSION #
26551261

 

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