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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.

Bowers, Alex J.

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

https://doi.org/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.

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More About This Work

Academic Units
Education Leadership
Published Here
September 8, 2021

Notes

Keywords: School districts, educational leadership, school administration, school district effectiveness research (SDER)