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Koon, Sharon; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2015
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…
Descriptors: Classification, Regression (Statistics), Models, At Risk Students
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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
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LaFrance, Jason A. – Journal of Research in Education, 2011
The purpose of this research was to examine the level of School-wide Positive Behavior Support (SWPBS) implementation in the State of Florida. The relationship between implementation fidelity of SWPBS to academic and behavioral outcomes for elementary and middle schools was then analyzed. The results of this study found that SWPBS is being…
Descriptors: Positive Behavior Supports, Fidelity, Program Implementation, Program Effectiveness