ERIC Number: ED287411
Record Type: RIE
Publication Date: 1987-Feb
Reference Count: 0
Identification of Predictors of Persistence and Success in Baccalauareate Engineering: Implications for Academic Advising.
Levin, James; Wyckoff, John
Predictive models of persistence and success in baccalaureate engineering programs were developed by analyzing five intellective and nine nonintellective variables. The 1984 entering freshman class in the College of Engineering at the Pennsylvania State University was studied. Usable data were obtained from 1,044 students, or 65% of the population. Data sources were: admissions records; results of the Freshman Testing Counseling and Advising Program, Testing and Counseling/Advising Phases; and transcripts and registration information. Four predictive models were developed that employed intellective and nonintellective variables that defined students' abilities, motives, and interests. Two of the models predicted academic achievement: the first predicted a student's cumulative grade point average (GPA); the second predicted engineering GPA, which isolated specific engineering foundation courses in mathematics, physics, and chemistry. The other two models predicted the probability of students' persisting successfully in engineering versus other enrollment status outcomes. The usefulness of the models for academic advising is addressed. The survey questionnaire and a freshman engineer data collection form are appended. (SW)
Publication Type: Reports - Research; Tests/Questionnaires
Education Level: N/A
Authoring Institution: Pennsylvania State Univ., University Park. Div. of Undergraduate Studies.
Note: This research was supported in part by a grant from District VI Phi Delta Kappa.