The purpose of this study was to compare the classification accuracy of data produced by the previous year's end-of-year New York state assessment, a computer-adaptive diagnostic assessment ("i-Ready"), and the gating combination of both assessments to predict the rate of students passing the following year's end-of-year state assessment…

Educators use universal screening to identify students who may be at risk for not meeting proficiency on the state assessment. Given the potential high-stakes of state tests, using accurate screeners is critical. Independent research is emerging on screeners such as the Measures of Academic Progress (MAP), a computer adaptive test, and the…

This study examined the predictive validity and classification accuracy of two commonly used universal screening measures relative to a statewide achievement test. Results indicated that second-grade performance on oral reading fluency and the Measures of Academic Progress (MAP), together with special education status, explained 68% of the…

Universal screening for emotional and behavioral risk in schools facilitates early identification and intervention for students as part of multitiered systems of support. Early identification has the potential to mitigate adverse outcomes of emotional and behavioral disorders. The purpose of this study was to extend existing research on the…

The purpose of the present studies was to provide the means to create brief versions of instruments that can aid the diagnosis and classification of students with learning disabilities and comorbid disorders (e.g., attention-deficit/hyperactivity disorder). A sample of 1,108 students with and without a diagnosis of learning disabilities took part…

In a response-to-intervention framework, schools typically employ a direct route approach to screening, in which students identified as at risk by a screening process are directly placed into intervention. Direct route approaches require screening decisions to be highly accurate, but few studies examining the predictive validity of reading…

A major problem facing educators in the United States is how to determine when the nation's five million English language learners (ELL) are ready to exit language-learning programs, i.e. to be "reclassified" as fluent English proficient (R-FEP) and placed in mainstream classrooms without additional language support. No Child Left Behind…

In this study, predictive classification accuracy was used to select those tasks from a kindergarten screening battery that best identified children who, three years later, were classified as educable mentally handicapped or as having a specific learning disability. A subset of measures enabled correct classification of 91% of the children in…