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…

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.…

The study sought to develop predictive models of persistence and success in baccalaureate engineering at the end of the sophomore year by analyzing 11 intellective and 9 non-intellective variables. A total of 1,043 students in the 1984 entering freshman class in the College of Engineering at Pennsylvania State University served as the population.…

A study (n=510) investigated students' cognitive and noncognitive variables predicting success and persistence in an undergraduate engineering program. Students performing well in science and mathematics and genuinely interested in engineering were more likely to persist and succeed. Predictor variables changed over the students' first two years.…