This paper combines a theoretical-based model with a data-driven approach to develop an Early Warning System that detects students who are more likely to dropout. The model uses innovative multilevel statistical and machine learning methods. The paper demonstrates the validity of the approach by applying it to administrative data from a leading…

In 1988, the United States Congress passed legislation that created the School Dropout Demonstration Assistance Program (SDDAP). The program provides funding for local educational agencies, community-based organizations, and educational partnerships to establish effective programs. This report, the second of two volumes, presents statistical data…

This summary of a forum for migrant educators defines dropout issues, explores solutions and models of service, and offers recommendations to address the needs of out-of-school migrant youth. Notes from forum workshops and summary task force reports deal with dropout identification/needs assessment, dropout/enrollment/graduation data, interagency…