ERIC Number: ED319355
Record Type: Non-Journal
Publication Date: 1990-Feb
Reference Count: N/A
Identification of Student Characteristics That Predict Persistence and Success in an Engineering College at the End of the Sophomore Year: Informing the Practice of Academic Advising.
Levin, James; Wyckoff, John
This study developed predictive models on persistence and success in engineering at the end of the sophomore year by examining 11 intellective and 9 non-intellective variables. The project's long-term purpose was to contribute to the improvement of academic advising for students considering engineering majors and thus improve student retention. Usable data were gathered on 1,043 entering freshmen in the College of Engineering at Pennsylvania State University. Three models were developed to predict sophomore persistence and success at different points in time: pre-enrollment, freshman year, and sophomore year. For the pre-enrollment model, the variables best predicting success were high school grade point average, algebra score, gender, non-science points, chemistry score, and reason for engineering choice. For the freshman year model, best predictors included grades in Physics I, Calculus I, and Chemistry I. In the sophomore year model, the variables of grades in Calculus II, Physics II, and Physics I were the best predictors. Thus, it was found that the variables which are predictive depend on the student's point of progress through the first 2 years of an engineering program. (JDD)
Publication Type: Reports - Research
Education Level: N/A
Audience: Teachers; Practitioners
Sponsor: National Academic Advising Association, Pomona, NJ.
Authoring Institution: Pennsylvania State Univ., University Park. Div. of Undergraduate Studies.