Using Data from Schools and Child Welfare Agencies to Predict Near-Term Academic Risks. Appendixes. REL 2020-027

Institution	National Center for Education Evaluation and Regional Assistance (ED); Regional Educational Laboratory Mid-Atlantic (ED); Mathematica
Titel	Using Data from Schools and Child Welfare Agencies to Predict Near-Term Academic Risks. Appendixes. REL 2020-027
Quelle	(2020), (40 Seiten) PDF als Volltext (1); PDF als Volltext kostenfreie Datei (2) Verfügbarkeit
Zusatzinformation	Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Quantitative Daten; Elementary Secondary Education; Public Schools; Charter Schools; At Risk Students; Predictor Variables; Attendance; Academic Achievement; Academic Failure; Suspension; Standardized Tests; Scores; Student Characteristics; Racial Differences; Ethnicity; Gender Differences; Socioeconomic Status; English Language Learners; Students with Disabilities; Academically Gifted; Behavior Problems; Grades (Scholastic); Enrollment; School Districts; Child Welfare; Welfare Services; Foster Care; Homeless People; Social Services; Human Services; Juvenile Justice; Public Housing; Nutrition; Family Programs; Federal Programs; Health Services; Pennsylvania (Pittsburgh) + Suchen Sie Ihr Suchwort? Public school; Öffentliche Schule; Charter school; Charter-Schule; Prädiktor; Anwesenheit; Schulleistung; Ausschluss; Schulausschluss; Standadised tests; Standardisierter Test; Rassenunterschied; Ethnizität; Geschlechterkonflikt; Socio-economic status; Sozioökonomischer Status; Student; Students; Disability; Disabilities; Schüler; Schülerin; Studentin; Behinderung; Notenspiegel; Einschulung; School district; Schulbezirk; Kindeswohl; Fürsorgeeinrichtung; Pflegehilfe; Homeless person; Homeless persons; Obdachloser; Social service; Soziale Dienstleistung; Soziale Dienste; Humanitäre Hilfe; Jugendgerichtshilfe; Sozialer Wohnungsbau; Ernährung; Family program; Familienprogramm; Health service; Gesundheitsdienst; Gesundheitswesen
Abstract	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 Services (DHS). The sample included the full population of students enrolled in each local education agency in 2015/16 or 2016/17, and each entity provided any data available on those students for 2012/13-2016/17. The descriptive analyses used data from the two most recent years--considered the "outcome years" for which academic problems are predicted-- and the predictive analyses included data from the full five-year period. [For the full report, see ED606230; for the study snapshot, see ED6062323.] (ERIC).
Anmerkungen	Regional Educational Laboratory Mid-Atlantic. Available from: Institute of Education Sciences. 550 12th Street SW, Washington, DC 20202. Tel: 202-245-6940; Web site: https://ies.ed.gov/ncee/edlabs/regions/midatlantic/index.asp
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01