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Download full textKoon, Sharon; Petscher, Yaacov; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
State education leaders are often interested in identifying schools that have demonstrated success with improving the literacy of students who are at the highest level of risk for reading difficulties. The identification of these schools that are "beating the odds" is typically accomplished by comparing a school's observed performance on…
Descriptors: Literacy Education, Reading Skills, Reading Difficulties, At Risk Students
Direct linkMiller, Thomas E.; Tyree, Tracy; Riegler, Keri K.; Herreid, Charlene – College and University, 2010
This article describes the early outcomes of an ongoing project at the University of South Florida in Tampa that involves using a logistics regression formula derived from pre-matriculation characteristics to predict the risk of individual student attrition. In this piece, the authors will describe the results of the prediction formula and the…
Descriptors: Mentors, Student Attrition, Models, Multiple Regression Analysis
