Abstract
This study investigates the variables that can predict university success. A sample of 202 students who completed studies in December 2013 and May 2014 was used. The variables achievement and aptitude in mathematics, student gender, type of school, general index of application, quantitative courses index, grade point average, and study time were studied. The data were analyzed using the partial least squares path modeling and logistic regression analysis. The results revealed that the performance of students in the quantitative courses is a good predictor of success in their studies.References
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