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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
Chard, David J.; Stoolmiller, Mike; Harn, Beth A.; Wanzek, Jeanne; Vaughn, Sharon; Linan-Thompson, Sylvia; Kame'enui, Edward J. – Journal of Learning Disabilities, 2008
Despite recent research findings that implicate a long list of student variables that predict reading success or failure, these predictor variables have not been considered in the context of contemporary models of multitiered schoolwide reading intervention. This longitudinal, retrospective study follows 668 kindergarten and first-grade students…
Descriptors: Reading Difficulties, Reading Fluency, Standardized Tests, Predictor Variables
Williams, Ashley; Bell, Sherry Mee – Journal of Psychoeducational Assessment, 2005
With the recently passed Individuals with Disabilities Education Act (2004), federal law encourages monitoring student progress and gauging responsiveness to instruction. The Test of Silent Word Reading Fluency (TOSWRF; Mather, Hammill, Allen, & Roberts, 2004) is a group-administered test that holds promise for monitoring student progress.…
Descriptors: Reading Comprehension, Reading Difficulties, Silent Reading, Reading Fluency