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Exploring the Machine Learning Paradigm in Determining Risk for Reading Disability
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Erbeli, Florina; He, Kai; Cheek, Connor; Rice, Marianne; Qian, Xiaoning – Scientific Studies of Reading, 2023
Purpose: Researchers have developed a constellation model of decodingrelated reading disabilities (RD) to improve the RD risk determination. The model's hallmark is its inclusion of various RD indicators to determine RD risk. Classification methods such as logistic regression (LR) might be one way to determine RD risk within the constellation…
Descriptors: At Risk Students, Reading Difficulties, Classification, Comparative Analysis
Examining the Etiology of Reading Disability as Conceptualized by the Hybrid Model
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Erbeli, Florina; Hart, Sara A.; Wagner, Richard K.; Taylor, Jeanette – Scientific Studies of Reading, 2018
A fairly recent definition of reading disability (RD) is that in the form of a hybrid model. The model views RD as a latent construct that is manifested through various observable unexpected impairments in reading-related skills and through inadequate response to intervention. The current report evaluated this new conceptualization of RD from an…
Descriptors: Etiology, Reading Difficulties, Reading Programs, Response to Intervention