Consortium for Student Retention Data Exchange

1700 Asp Ave.
Norman, OK 73072

Phone: 405-325-2158
Fax: 405-325-7309
csrde@ou.edu

Retention Forecast: Predicting Success Before They Go Home

presented by Trey Standish, North Carolina State University

Date of webinar: September 8, 2010

*Materials for this webinar are not currently available.

REGISTRATION INFORMATION
To register for this webinar download this document, fill it out, and either mail or fax it to the CSRDE.

Abstract

Keeping students retained and moving them towards a successful outcome is a hard task made harder if the student is already home. At NC State, a statistical model has been developed to forecast the likelihood of a student returning for the second year based on demographic and performance information known after their first fall semester. The results are available at the beginning of the student's spring semester giving academic support teams an entire semester to intervene. The forecast correctly predicts retention for 88% of new freshmen and a score is provided for all kinds of first-year students. The model is a logistic regression that identifies attributes correlated with student success to simultaneously identify retention bottlenecks and create a retention score that is equivalent to the likelihood a student is retained. Statistical knowledge is not required.

The Consortium for Student Retention Data Exchange at the University of Oklahoma is a consortium of two-year and four-year institutions dedicated to achieving the highest levels of student success through collaboratively sharing data, knowledge, and innovation.

CSRDE is a sponsored activity of the Center for Institutional Data Exchange and Analysis at