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Anderson, Daniel; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2011
In this technical report, we document the results of a cross-validation study designed to identify optimal cut-scores for the use of the easyCBM[R] mathematics test in the state of Washington. A large sample, randomly split into two groups of roughly equal size, was used for this study. Students' performance classification on the Washington state…
Descriptors: Testing Programs, Mathematics Tests, Prediction, Measurement Techniques
Park, Bitnara Jasmine; Irvin, P. Shawn; Anderson, Daniel; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2011
This technical report presents results from a cross-validation study designed to identify optimal cut scores when using easyCBM[R] reading tests in Oregon. The cross-validation study analyzes data from the 2009-2010 academic year for easyCBM[R] reading measures. A sample of approximately 2,000 students per grade, randomly split into two groups of…
Descriptors: Testing Programs, Reading Tests, Prediction, Measurement Techniques
Vendlinski, Terry P.; Nagashima, Sam; Herman, Joan L. – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2007
Current educational policy highlights the important role that assessment can play in improving education. State standards and the assessments that are aligned with them establish targets for learning and promote school accountability for helping all students succeed; at the same time, feedback from assessment results is expected to provide …
Descriptors: Elementary School Science, Federal Legislation, State Standards, Educational Improvement