The purpose of this report was to explicate the use of logistic regression and classification and regression tree (CART) analysis in the development of early warning systems. It was motivated by state education leaders' interest in maintaining high classification accuracy while simultaneously improving practitioner understanding of the rules…

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…

To complement the information gathered on middle school and high school literacy initiatives as reported in "Middle and High School Literacy across the Curriculum" (Task 1.2 Fast Response Project), the Regional Educational Laboratory Southeast (REL-SE) staff conducted a scan of the six southeast states to gather the following information on grades…