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Singh, Malkeet; Dunn, Hugh H. – AERA Online Paper Repository, 2020
This paper will demonstrate how we used state-level longitudinal data to model reading growth trajectories. Using data from large scale assessments that were vertically linked across grades in Hawaii, we utilized a multilevel regression framework to develop growth models to study students' reading performance trajectories during their elementary…
Descriptors: Reading Achievement, Elementary School Students, Student Characteristics, Models

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