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.
Descriptors: 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
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