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Kuhfeld, Megan; Domina, Thurston; Hanselman, Paul – AERA Open, 2019
The Stanford Educational Data Archive (SEDA) is the first data set to allow comparisons of district academic achievement and growth from Grades 3 to 8 across the United States, shining a light on the distribution of educational opportunities. This study describes a convergent validity analysis of the SEDA growth estimates in mathematics and…
Descriptors: Educational Research, Educational Assessment, Data Analysis, Archives