Identifying Potential Dropouts: Key Lessons for Building an Early Warning Data System

At a Glance

This report summarizes research on the factors that put students at greater risk of dropping out and the relative success of methods of predicting which students will drop out. It was commissioned by Moving Forward: High Standards and High Graduation

Published oct. 30, 2013

Topics

This report summarizes research on the factors that put students at greater risk of dropping out and the relative success of methods of predicting which students will drop out. It was commissioned by Moving Forward: High Standards and High Graduation Rates, an initiative jointly sponsored by Achieve, Inc., and JFF and funded by Carnegie Corporation of New York.