This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…

The current study examined the criterion validity of a computer adaptive universal screener with an end-of-year state mathematics assessment using extant data provided by a local education agency. Participants included 1,195 third through eighth graders. Correlational analyses were used to report predictive and concurrent validity coefficients for…

Behavioral and emotional problems among children and adolescents can lead to numerous negative outcomes without intervention. From a prevention standpoint, screening for behavioral and emotional risk is an important step toward identifying such problems before the point of diagnosis or referral. The present study conducted a k-means cluster…

Classrooms are unique and complex work settings in which teachers and students both participate in and contribute to classroom processes. This article describes the measurement phase of a study that examined the social ecology of urban classrooms. Informed by the dimensions and items of an established measure of organizational climate, we designed…

This study examined the contribution of classroom format on teaching effectiveness and achievement in English language arts (ELA) and mathematics. Secondary data analyses of the Measures of Effective Teaching database included 464 US classrooms. Classrooms were defined as self-contained if a generalist teacher provided instruction on all subjects…

In this series of studies, we explore the ideal frequency, duration, and relative effectiveness of measuring oral reading fluency. In study one, a sample of 389 fifth graders read out loud for 1 min and then took a traditional state-level standardized reading test. Results suggest administering three passages and using the median yields the…

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.…

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.…

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…

easyCBM[R] is an online benchmark and progress monitoring assessment system designed for use within a response to intervention framework. Educators using easyCBM[R] are often interested in using the results to predict students' state test performance. In the following technical document, we report diagnostic efficiency statistics using a sample…

Effective talent-identification procedures minimize the proportion of students whose subsequent performance indicates that they were mistakenly included in or excluded from the program. Classification errors occur when students who were predicted to excel subsequently do not excel or when students who were not predicted to excel do. Using a…

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 failure. Often, students deemed at-risk are those who would be predicted to not pass the state test. Previous…

The No Child Left Behind Act is a mandate from the federal government for education to increase student performance and school accountability. As a result of this mandate, many states have issued the use of high-stakes standardized tests as a means of monitoring schools' accountability. New York State administers the English Language Arts (ELA)…

The main goal of this report is to present evidence on the predictive validity of an English language arts (ELA) performance assessment (PA) administered in Grades 2-9 in a large urban school district. To account for the hierarchical structure of the data (students are nested within schools), we employed hierarchical linear modeling (HLM) to…