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Koon, Sharon; Petscher, Yaacov; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
This study examines whether the classification and regression tree (CART) model improves the early identification of students at risk for reading comprehension difficulties compared with the more difficult to interpret logistic regression model. CART is a type of predictive modeling that relies on nonparametric techniques. It presents results in…
Descriptors: At Risk Students, Reading Difficulties, Identification, Reading Comprehension
Carnegie Corporation of New York, 2011
Our nation's educational system has scored many extraordinary successes in raising the level of reading and writing skills in younger children. Yet the pace of literacy improvement in our schools has not kept up with the accelerating demands of the global knowledge economy. In state after state, the testing data mandated by No Child Left Behind…
Descriptors: Adolescents, Literacy, Best Practices, Reading Achievement