This is the fifth in a series of articles describing an attrition prediction and intervention project at the University of South Florida (USF) in Tampa. The project was originally presented in the 83(2) issue (Miller 2007). The statistical model for predicting attrition was described in the 83(3) issue (Miller and Herreid 2008). The methods and approaches for intervening with students at highest risk of attrition were discussed in the 84(3) issue (Miller and Tyree 2009). A second model, based upon the students who entered in 2007, was described in the 84(4) issue (Herreid and Miller 2009). The work described in previous articles addressed predicting risk of freshman attrition. The two logistic regression models, based on the classes that had entered USF in 2006 and 2007, predict attrition between the beginning of the freshman year and the beginning of the sophomore year. The data that contributed to the model were the results of the administration of the College Student Expectations Questionnaire (CSXQ) combined with demographic and academic data collected by the University. The project described in this article produced a model for predicting the risk of attrition of individual students between the beginning of the sophomore year and the beginning of the junior year. (Contains 3 tables.)