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Using Data from Schools and Child Welfare Agencies to Predict Near-Term Academic Risks. REL 2020-027
Bruch, Julie; Gellar, Jonathan; Cattell, Lindsay; Hotchkiss, John; Killewald, Phil – Regional Educational Laboratory Mid-Atlantic, 2020
This report provides information for administrators, researchers, and student support staff in local education agencies who are interested in identifying students who are likely to have near-term academic problems such as absenteeism, suspensions, poor grades, and low performance on state tests. The report describes an approach for developing a…
Descriptors: At Risk Students, Data Use, Child Welfare, Predictor Variables
Neild, Ruth Curran; Stoner-Eby, Scott; Furstenberg, Frank – Education and Urban Society, 2008
Recent reports have demonstrated that the United States has a dropout crisis of alarming proportions. In some large-city school systems, more than 50% of students leave high school without a diploma. A large proportion of these dropouts have not accumulated enough credits to be promoted beyond ninth grade. Using survey and student record data for…
Descriptors: Urban Schools, High Schools, Dropout Rate, Dropouts