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…

This paper presents an investigation of score prediction based on natural language processing for two targeted constructs within analytic text-based writing: 1) students' effective use of evidence and, 2) their organization of ideas and evidence in support of their claim. With the long-term goal of producing feedback for students and teachers, we…

Morphological skills have previously been found to reliably predict reading skill, including word reading, vocabulary, and comprehension. However, less is known about how morphological skills might contribute to writing skill, aside from its well-documented role in the development of spelling. This correlational study examines whether…

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…

The authors examined science achievement growth at Grades 3, 5, and 8 and parent school involvement at the same time points using the Early Childhood Longitudinal Study-Kindergarten Class of 1998-1999. Data were analyzed using cross-classified multilevel latent growth curve modeling with time invariant and varying covariates. School-based…

Federal legislation has prescribed the increased use of statewide achievement tests as the culmination of a student's knowledge and ability at the end of a grade level; however, schools need to be able to predict those who are at-risk of performing poorly on these high-stakes tests. Three studies served to identify a means of predicting statewide…

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.…

This nonexperimental survey research investigated whether enrollment, location, expenditures, percentage of free and reduced lunch and percentage of minority students influenced Georgia's superintendent and board chairperson satisfaction. In addition, this study investigated whether respondents' satisfaction could predict student achievement.…

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…

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)…