Session 10: Factors of Significance for Graduating at a Private College
Presentation Type
Oral
Student
Yes
Track
Methodology
Abstract
This research project examined factors that influence odds of graduating at a small, rigorous, private college in the Midwest. De-identified data from the college’s database for the 2013 to 2016 cohorts was collected by the Institutional Research office and provided to the researcher. Several statistical and machine learning techniques were utilized to develop predictive models, including logistic regression and neural network analyses. Fields included include number of major changes, time spent relaxing, satisfaction, and exam preparation techniques. Control variables included distance from home, high school gpa, and religious affiliation. The methods of analysis will be compared and contrasted and results will be discussed.
Keywords: graduation rates, logistic regression, higher education
Start Date
2-8-2022 2:30 PM
End Date
2-8-2022 3:25 PM
Session 10: Factors of Significance for Graduating at a Private College
Pheasant Room 253 A/B
This research project examined factors that influence odds of graduating at a small, rigorous, private college in the Midwest. De-identified data from the college’s database for the 2013 to 2016 cohorts was collected by the Institutional Research office and provided to the researcher. Several statistical and machine learning techniques were utilized to develop predictive models, including logistic regression and neural network analyses. Fields included include number of major changes, time spent relaxing, satisfaction, and exam preparation techniques. Control variables included distance from home, high school gpa, and religious affiliation. The methods of analysis will be compared and contrasted and results will be discussed.
Keywords: graduation rates, logistic regression, higher education