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Truckenmiller, Adrea J.; Petscher, Yaacov; Gaughan, Linda; Dwyer, Ted – Regional Educational Laboratory Southeast, 2016
District and state education leaders frequently use screening assessments to identify students who are at risk of performing poorly on end-of-year achievement tests. This study examines the use of a universal screening assessment of reading skills for early identification of students at risk of low achievement on nationally normed tests of reading…
Descriptors: Prediction, Predictive Validity, Predictor Variables, Mathematics Achievement
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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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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
TURNER, CHARLES J.; AND OTHERS – 1966
TECHNICAL AND NONTECHNICAL CURRICULUMS OF A SINGLE JUNIOR COLLEGE WERE EXAMINED TO BETTER HELP STUDENTS AND COUNSELORS TOWARD MORE REALISTIC DECISIONS IN CAREER CHOICE. THE PROJECT WAS SUCCESSFUL IN (1) DIFFERENTIATING STUDENTS IN VARIOUS CURRICULUMS WITHIN THE COLLEGE, (2) DIFFERENTIATING CHARACTERISTICS OF GRADUATES FROM THOSE OF UNDERGRADUATES,…
Descriptors: Career Choice, Career Counseling, College Students, Curriculum Evaluation