Abstrac tThis paper examines to what extent a student's aptitude in computer programming may b e predicted through measuring certain cognitiv e skills, personality traits and past academi c achievement . The primary purpose of this study was to build a practical and reliable model fo r predicting success in programming, with hope s of better counseling students . Results fro m correlating predictor variables with a student' s final numerical score confirmed past studie s which showed the diagramming and reasoning test s of the Computer Programmer Aptitude Battery an d a student's GPA to be the predictors mos t closely associated with success . A multipl e regression equation developed from 5 predictor s correctly classified 61 of 79 students (77 .2% ) into low and high aptitude groups .
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