Hadis Anahideh
Associated IES Content
Grant
Fair Prediction of College-Student Success Using Multivariate Adaptive Regression Splines
The purpose of this project is to develop a new fair Multivariate Adaptive Regression Splines (MARS) statistical model to predict college-student success. MARS is a parsimonious non-parametric regression model that can identify useful input variables through a built-in feature-selection step when many potential variables are considered. MARS also renders an easily interpretable model, making it more helpful for use in higher education settings.
Federal funding program:
Award number:
R305D220055