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Download full textIrvin, P. Shawn; Pilger, Marissa; Sáez, Leilani; Alonzo, Julie – Behavioral Research and Teaching, 2016
Identifying and measuring indicators of learning difficulties among young children and implementing effective instructional approaches are complicated, particularly during the transition to kindergarten. Purposeful school-based transition policies and practices support teacher and school decision-making and, thus, can ease the…
Descriptors: Needs Assessment, Surveys, Prevention, Screening Tests
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; Anderson, Daniel; Irvin, P. Shawn; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2011
Within a response to intervention (RTI) framework, students are typically identified as "academically at-risk" if they score below a specified cut-point on a benchmark screener. Students identified as at-risk are provided with an intervention intended to increase achievement. In the following technical report, we describe a process for…
Descriptors: Intervention, Diagnostic Tests, Response to Intervention, At Risk Students
Irvin, P. Shawn; Park, Bitnara Jasmine; 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 Washington state. The cross-validation study analyzes data from the 2009-2010 academic year for easyCBM[R] reading measures. A sample of approximately 900 students per grade, randomly split into two…
Descriptors: Intervention, Diagnostic Tests, Response to Intervention, At Risk Students
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
Tindal, Gerald; Alonzo, Julie; Anderson, Daniel – Behavioral Research and Teaching, 2009
We developed equivalent, alternate forms of easyCBM[R] in reading (n=20 forms) and mathematics (n=13 forms) with different skills reflective of the National Reading Panel (NRP) and the National Council of Teachers of Mathematics (NCTM), respectively. We then took three forms to use as screening measures in the fall, winter, and spring so educators…
Descriptors: Research Reports, Benchmarking, Screening Tests, Measures (Individuals)
Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2004
The No Child Left Behind Act of 2001 has increased the role of assessment in K-12 education. Designed to ensure that all students meet high academic standards, the law currently requires states receiving Title I funds to test all children annually in reading and math in grades 3 through 8 and report student performance disaggregated by poverty,…
Descriptors: Reading Comprehension, Reading Fluency, Reading Achievement, Grade 4
