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…

The impact of different admissions policies on Black, Hispanic, and White applicants was investigated, using College Board data. Five undergraduate admissions models were assessed. The single-index minimum model uses a single index, such as high school grade point average (GPA), to determine eligibility. The multiple-index minimum model uses two…

Reviews the rapidly expanding literature on the federal government's involvement in elementary and secondary education, covering research syntheses published in the early 1980's and subsequent unanthologized empirical research and normative commentaries. Identifies trends and themes that surface from this literature, encompassing both empirical…

The development of the error prone model (EPM) for the 1984-1985 student financial aid validation criteria for Pell Grant recipient selection is discussed, based on a comparison of the 1983-1984 EPM criteria and a newly estimated EPM. Procedures/assumptions on which the new EPM was based include: a sample of 1982-1983 Pell Grant recipients…

The development of a number of error-prone models to select Pell Grant recipients for validation is discussed. The 1983-1984 Pell Grant validation strategy consists of a two-stage approach: selection using Pre-Established Criteria (PEC) followed by selection using Error Prone Modeling (EPM). The database used for model development consists of a…