2021 Data (Information)
Bowers and Monroe 2021 Online Supplement S1 for Using Hierarchical Linear Growth Modeling to Identify Longitudinally Outperforming School Districts in the United States, 2009–2013.
This .csv is an Online Supplement for the following paper in the journal Leadership and Policy in Schools:
Bowers A.J., Monroe, E.C. (2021) Using Hierarchical Linear Growth Modeling to Identify Longitudinally Outperforming School Districts in the United States, 2009–2013. Leadership and Policy in Schools. doi: 10.1080/15700763.2021.1977330
This .csv includes data on 536 USA school districts identified in the article, and columns include the row number, state, district ID, district name, Performance Index Score in year 2012-2013, actual 5-year Performance Index Score Gain, Model-Predicted 5-year Performance Index Score, Enrollment Category, Locale, % Disadvantaged Students.
For more information please see the research paper.
- Bowers and Monroe Online Supplement S1 2021.csv text/comma-separated-values 89.4 KB Download File
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More About This Work
- Academic Units
- Education Leadership
- Published Here
- September 8, 2021
Keywords: School districts, educational leadership, school administration, school district effectiveness research (SDER)