This article is the fourth in a series of articles describing an attrition prediction and intervention project at the University of South Florida (USF) in Tampa. In this article, the researchers describe the updated version of the prediction model. The original model was developed from a sample of about 900 First Time in College (FTIC) students…

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…

Gender was investigated along with other academic variables as predictors of success in entry-level freshman courses from liberal arts mathematics through calculus. The female students were more successful than the male students in all the courses, but gender became less significant as the sophistication level of the course increased. (Contains 16…

A model using four categories of college applicants (enrollment deposit paid, deposit not yet paid, applicants not yet admitted, and those who have not yet applied) that allows forecasting of freshman enrollment from any point in the admission process and simulates the effects of trends and strategies on enrollment is outlined. (MSE)

This study compared the effectiveness of high school GPA and ACT score for predicting different levels of first-year college GPA. We estimated predictions of achieving first-year GPA levels ranging from 2.00 to 3.75 at 84 post secondary institutions. Both high school GPA and ACT score were effective predictors of achieving moderate levels of…

An enrollment projection model designed and implemented at LaSalle College had five phases: establishing clear goals, model construction, model implementation, model estimation and validation, and using the forecast. The history of LaSalle's model and the elements in decision making are outlined. (MSE)

The purpose of the current study is to investigate the feasibility of accounting for student performance in advanced high school coursework through the adjustment of high school grade point average (HSGPA) while separating out variables that are independently considered in the admission process, e.g., SAT/ACT scores, community affluence, type of…

The use of high school transcipts, American College Testing Service composite scores, and first semester courses and grades of college freshmen is discussed as a way to statistically analyze the notion that high school college preparatory courses help students earn better grades in college than elective courses do. (MSE)

A statistical analysis of the predictive potential of academic and nonacademic student characteristics in an architecture school provides a model for other institutions to make their admissions processes and programs for retention more effective. The study was of 10 freshman architecture classes at the University of Kansas. (MSE)

Data from graduate student applications at a large Western university were used to determine which factors were the best predictors of success in graduate school, as defined by cumulative graduate grade point average. Two statistical models were employed and compared: artificial neural networking and simultaneous multiple regression. Both models…

Compared development of postsecondary education plans of African American and White ninth graders, vs variables of the Hossler/Gallagher Three Phase Model of College Choice. Subjects were from 2,930 households with students attending 21 Indiana high schools. Results indicate the variables were more predictive for Whites than African Americans, and…