Stabilizing Subgroup Proficiency Results to Improve the Identification of Low-Performing Schools. REL 2023-001

Autor/inn/en	Forrow, Lauren; Starling, Jennifer; Gill, Brian
Institution	Regional Educational Laboratory Mid-Atlantic (ED/IES); National Center for Education Evaluation and Regional Assistance (NCEE) (ED/IES); Mathematica
Titel	Stabilizing Subgroup Proficiency Results to Improve the Identification of Low-Performing Schools. REL 2023-001
Quelle	(2023), (12 Seiten) PDF als Volltext (1); PDF als Volltext kostenfreie Datei (2) Verfügbarkeit
Zusatzinformation	Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	At Risk Students; Low Achievement; Error of Measurement; Measurement Techniques; Bayesian Statistics; Hierarchical Linear Modeling; Accountability; Reliability; Elementary School Students; Middle School Students; High School Students; Academic Achievement; Mathematics Achievement; Language Arts; Low Income Students; Students with Disabilities; Minority Group Students; Racial Differences; Ethnicity; English Language Learners; Scores; Pennsylvania + Suchen Sie Ihr Suchwort? Unterdurchschnittliche Leistung; Messfehler; Messtechnik; Verantwortung; Reliabilität; Middle school; Middle schools; Student; Students; Mittelschule; Mittelstufenschule; Schüler; Schülerin; High school; High schools; Oberschule; Studentin; Schulleistung; Mathmatics sikills; Mathmatics achievement; Mathematical ability; Mathematische Kompetenz; Sprachkultur; Disability; Disabilities; Behinderung; Rassenunterschied; Ethnizität
Abstract	The Every Student Succeeds Act requires states to identify schools with low-performing student subgroups for Targeted Support and Improvement or Additional Targeted Support and Improvement. Random differences between students' true abilities and their test scores, also called measurement error, reduce the statistical reliability of the performance measures used to identify schools for these categorizations. Measurement error introduces a risk that the identified schools are unlucky rather than truly low performing. Using data provided by the Pennsylvania Department of Education, the study team used Bayesian hierarchical modeling to improve the reliability of subgroup proficiency measures and demonstrate the approach's efficacy. [For the Study Snapshot, see ED626540. For the appendixes, see ED626541.] (As Provided).
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