Using Hierarchical Linear Growth Modeling to Identify Longitudinally Outperforming School Districts in the United States, 2009–2013
Abstract
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...
Paper Details
Title
Using Hierarchical Linear Growth Modeling to Identify Longitudinally Outperforming School Districts in the United States, 2009–2013
Published Date
Oct 13, 2021
Volume
22
Issue
2
Pages
438 - 462
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