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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
Norman, Rebecca L.; Buckendahl, Chad W. – Educational Measurement: Issues and Practice, 2008
Many educational testing programs report examinee performance at more than two levels of proficiency. Whether these assessments have the capacity to support these multiple inferences, though, is a topic that has not been widely discussed. This study proposes a method for evaluating the minimum number of measurement opportunities for reporting…
Descriptors: Testing Programs, Student Evaluation, Educational Testing, Mathematics Achievement
Buckendahl, Chad W.; Impara, James C.; Plake, Barbara S. – 2000
Because districts in Nebraska are not measured on common instruments, comparisons are difficult. This study examined a district evaluation strategy that classifies districts into school performance ratings (SPR) based on a combination of three factors. Student performance and non-cognitive indicator data for three grade levels and two content…
Descriptors: Accountability, Classification, Comparative Analysis, Elementary Secondary Education