This investigation sought to determine when colleges should conduct assessments to identify first-year students at risk of dropping out. Thirty-five variables were used to predict the persistence of 2,024 first-year students from four universities in the southeastern United States. The predictors were subdivided into groups according to when they…

In order to reduce the 35-40% dropout/failure rate in chemistry classes at the Perkinston Campus of Mississippi Gulf Coast Junior College, this study sought predictors which would provide early identification of students in need of special or additional help. Using regression analysis, data accumulated from the achievement records of students over…