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Download full textNese, Joseph F. T.; Lai, Cheng-Fei; Anderson, Daniel; Jamgochian, Elisa M.; Kamata, Akihito; Saez, Leilani; Park, Bitnara J.; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2010
In this technical report, data are presented on the practical utility, reliability, and validity of the easyCBM[R] mathematics (2009-2010 version) measures for students in grades 3-8 within four districts in two states. Analyses include: minimum acceptable within-year growth; minimum acceptable year-end benchmark performance; internal and…
Descriptors: Curriculum Based Assessment, Mathematics Tests, Test Reliability, Test Validity
A Cross-Validation of easyCBM[R] Mathematics Cut Scores in Oregon: 2009-2010. Technical Report #1104
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 Oregon. A large sample, randomly split into two groups of roughly equal size, was used for this study. Students' performance classification on the Oregon state test was used as the…
Descriptors: Curriculum Based Assessment, Mathematics Tests, Cutting Scores, Validity
Anderson, Daniel; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2011
easyCBM[R] is an online benchmark and progress monitoring assessment system designed for use within a response to intervention (RTI) framework. Part of the purpose of easyCBM[R] is to help educators identify students who may be at risk for academic failure. Often, students deemed at risk are those who would be predicted to not pass the state test.…
Descriptors: Reading Tests, Curriculum Based Assessment, Student Evaluation, Formative Evaluation
Anderson, Daniel; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2011
easyCBM[R] is an online benchmark and progress monitoring assessment system designed for use within a response to intervention (RTI) framework. Part of the purpose of easyCBM[R] is to help educators identify students who may be at risk for academic failure. Often, students deemed at risk are those who would be predicted to not pass the state test.…
Descriptors: Curriculum Based Assessment, Reading Tests, Predictive Validity, Formative Evaluation
Anderson, Daniel; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2010
In this technical report, we present the results of a study examining the relation between the math measures available on the easyCBM[R] online benchmark and progress monitoring assessment system and the Oregon statewide assessment of mathematics. Designed for use within a response to intervention (RTI) framework, easyCBM[R] is intended to help…
Descriptors: Curriculum Based Assessment, Mathematics Tests, Formative Evaluation, Student Evaluation
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
Saez, Leilani; Park, Bitnara; Nese, Joseph F. T.; Jamgochian, Elisa; Lai, Cheng-Fei; Anderson, Daniel; Kamata, Akihito; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2010
In this series of studies, we investigated the technical adequacy of three curriculum-based measures used as benchmarks and for monitoring progress in three critical reading- related skills: fluency, reading comprehension, and vocabulary. In particular, we examined the following easyCBM measurement across grades 3-7 at fall, winter, and spring…
Descriptors: Elementary School Students, Middle School Students, Vocabulary, Reading Comprehension
Tindal, Gerald; Nese, Joseph F.; Alonzo, Julie – Behavioral Research and Teaching, 2009
In this technical report, data are presented on the predictive and concurrent relation between various student demographic variables (gender, race/ethnicity, special education status, Title 1 status, English language learning status, and economic disadvantage) and three reading easyCBMs (passage reading fluency, vocabulary, and multiple-choice…
Descriptors: Evidence, Reading Fluency, Academic Achievement, Research Reports
