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ERIC Number: ED499838
Record Type: Non-Journal
Publication Date: 2006-Jun
Pages: 53
Abstractor: ERIC
Identifying Potential Dropouts: Key Lessons for Building an Early Warning Data System. A Dual Agenda of High Standards and High Graduation Rates
Jerald, Craig D.
Achieve, Inc.
This white paper was prepared for Staying the Course: High Standards and Improved Graduation Rates, a joint project of Achieve, Inc. and Jobs for the Future. Its goal is to provide policymakers with an overview of research about the dropout problem and the best strategies for building an early warning data system that can signal which students and schools are most in need of interventions. Specifically, this report summarizes the research on the factors that put students at greater risk of dropping out, the relative success of methods of predicting which students will drop out, and proposes a two-phase process for building an effective and efficient early warning data system. If policymakers heed the most current research, avoid the mistakes of the past, and invest sufficient up-front "research and development" dollars, they can build data systems to identify those students on the path to dropping out early enough to make a difference. (Contains 3 tables, 2 figures, 64 endnotes, and a bibliography.)
Achieve, Inc. 1775 Eye Street NW Suite 410, Washington, DC 20006. Tel: 202-419-1540; Fax: 202-828-0911; Web site:
Publication Type: Information Analyses; Reports - Evaluative
Education Level: Secondary Education
Audience: Policymakers
Language: English
Sponsor: Carnegie Corp. of New York, NY.
Authoring Institution: Achieve, Inc., Washington, DC.; Jobs for the Future, Boston, MA.
Grant or Contract Numbers: N/A