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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
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Regional Educational Laboratory Mid-Atlantic, 2020
The document are the appendixes for the full report, "Using Data from Schools and Child Welfare Agencies to Predict Near-Term Academic Risks." The study team collected and linked five academic years of student-level administrative data from Pittsburgh Public Schools (PPS), Propel Schools, and the Allegheny County Department of Human…
Descriptors: Elementary Secondary Education, Public Schools, Charter Schools, At Risk Students
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Calley, Nancy G. – Journal of Child Sexual Abuse, 2012
One hundred and seventy three male juvenile offenders were followed two years postrelease from a residential treatment facility to assess recidivism and factors related to recidivism. The overall recidivism rate was 23.9%. Logistic regression with stepwise and backward variable selection methods was used to examine the relationship between…
Descriptors: Parent Rights, Recidivism, Delinquency, Family Programs
Martin, Megan; Connelly, Dana Dean – Center for the Study of Social Policy, 2015
Nationally, families of color--particularly African American and American Indian and Alaska Native (AI/AN)--are over-represented in child welfare systems. These families also tend to have worse outcomes--such as children more likely to be removed from their homes, less likely to receive family preservation services, and in the case of African…
Descriptors: Minority Groups, Child Welfare, At Risk Persons, Public Policy