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ERIC Number: EJ1386572
Record Type: Journal
Publication Date: 2023
Pages: 25
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1570-0763
EISSN: EISSN-1744-5043
Using Hierarchical Linear Growth Modeling to Identify Longitudinally Outperforming School Districts in the United States, 2009-2013
Bowers, Alex J.; Monroe, Elizabeth C.
Leadership and Policy in Schools, v22 n2 p438-462 2023
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.
Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: National Assessment of Educational Progress
Grant or Contract Numbers: N/A