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 by…

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…

This article discusses how a brief project-based unit promoted the learning of children in a first-grade classroom. The children attended a public elementary school located in a southeastern university town in the United States. Approximately 94% of the students in the school were from economically disadvantaged families. No children in this…