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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
McNichols, Kelley B. – ProQuest LLC, 2012
With years of research focusing on soaring incarceration rates, the phenomena of prisoner reentry has been largely overlooked. The majority of incarcerated people will return to the community setting. In fact, millions of recently released offenders are on some form of community based supervision. Today, recidivism is a problem that plagues…
Descriptors: Labor Force Development, Federal Programs, Reentry Workers, Institutionalized Persons

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