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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
Rosenbach, Margo – 2001
In order to address problems related to the health care of children in foster care, policymakers need detailed information about health status, health care utilization, and Medicaid expenditures. This policy brief summarizes a study examining health care utilization and expenditures paid by Medicaid for children in foster care in California,…
Descriptors: Child Health, Children, Comparative Analysis, Foster Care