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.
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https://academiccommons.columbia.edu/doi/10.7916/d8-tjze-gr56
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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.
提供机构:
Columbia University
创建时间:
2021-09-08



