Using Hierarchical Linear Growth Modeling to Identify Longitudinally Outperforming School Districts in the United States, 2009-2013

Autor/inn/en	Bowers, Alex J.; Monroe, Elizabeth C.
Titel	Using Hierarchical Linear Growth Modeling to Identify Longitudinally Outperforming School Districts in the United States, 2009-2013
Quelle	In: Leadership and Policy in Schools, 22 (2023) 2, S.438-462 (25 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Bowers, Alex J.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1570-0763
DOI	10.1080/15700763.2021.1977330
Schlagwörter	School Districts; Academic Achievement; Educational Research; Elementary Secondary Education; Standardized Tests; Scores; Public Schools; National Competency Tests; Socioeconomic Status; Race; Ethnic Groups; Minority Group Students; Students with Disabilities; Enrollment; Urban Schools; Suburban Schools; Rural Schools; Teacher Student Ratio; Teacher Salaries; Racial Differences; Ethnicity; National Assessment of Educational Progress + Suchen Sie Ihr Suchwort? School district; Schulbezirk; Schulleistung; Bildungsforschung; Pädagogische Forschung; Standadised tests; Standardisierter Test; Public school; Öffentliche Schule; Socio-economic status; Sozioökonomischer Status; Rasse; Abstammung; Ethnie; Student; Students; Disability; Disabilities; Schüler; Schülerin; Studentin; Behinderung; Einschulung; Urban area; Urban areas; School; Schools; Stadtregion; Stadt; Schule; Suburban area; Outskirts; Suburb; Vorort; Vorstadt; Rural area; Rural areas; Ländlicher Raum; Schulen; Lehrer-Schüler-Relation; Lehrerbesoldung; Lehrervergütung; Rassenunterschied; Ethnizität
Abstract	School District Effectiveness Research (SDER) works to identify unusually effective organizations for in-depth qualitative study that significantly outperform peer districts over multiple years. Yet, critiques of SDER include a focus on cross-sectional data, individual states, and percent proficient metrics. Here, we analyze the Stanford Education Data Archive, including data on n = 10,825 districts 2009-2013, from 47 states and DC, with average student achievement equated to the National Assessment of Educational Progress (NAEP). To replicate previous state-level SDER, we use a two-level hierarchical linear growth model, examining district growth over time, including an AR1 autoregressive parameter. We identify 536 outperforming districts nationally. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01