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Herreid, Charlene H.; Miller, Thomas E. – College and University, 2009
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…
Descriptors: Prediction, Regression (Statistics), Researchers, Intervention

Pope, James A.; Evans, John P. – College and University, 1985
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)
Descriptors: College Admission, College Applicants, Enrollment Projections, Higher Education

Hartman, William T.; Bell, David P. – College and University, 1978
A study focused on two questions: whether the admissions rating scheme of Stanford University could effectively predict academic performance and whether students with different abilities gravitate to different academic departments. The relationship between academic performance and affiliation and such characteristics as sex and ethnic group were…
Descriptors: Academic Achievement, Admission Criteria, Grade Prediction, Higher Education

Barenbaum, Lester; Ricci, Raymond – College and University, 1982
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)
Descriptors: Case Studies, College Planning, Enrollment Projections, Higher Education

Mills, Joan – College and University, 1978
Employed, upper-division undergraduates majoring in business were studied to determine what factors best predicted academic achievement. Among the contributing factors were freshman-sophomore grade point average and motivational or work-related variables such as goal orientation and number of hours worked. (SW)
Descriptors: Academic Achievement, Business Education, College Students, Employment