The present study was conducted to determine whether the problem characteristics of U.S. students school-identified with emotional disturbance (ED) have changed over two decades. We used data from a teacher rating instrument designed to measure the five problem characteristics of ED, as stated in its Individuals with Disabilities Education Act…

The present study examined the measurement properties of the Emotional and Behavioral Screener (EBS), a universal screening instrument which identifies students presenting with emotional and behavioral problems. The primary research questions sought to examine the degree to which the EBS item responses fit the Rasch model through evaluating fit of…

Early identification of student behavioral needs allows educators the opportunity to apply appropriate interventions before negative behaviors become more intensive and persistent. A variety of screening tools are available to identify which students are at risk for persistent behavior problems in school. This article provides two examples in…

In schools, screening is an effective method to identify students at-risk for emotional and behavioural disorders. Several intervention programmes such as Positive Behaviour Interventions and Supports, Response to Intervention, and Multi-tiered Systems of Supports call for the use of psychometrically sound screening instruments. This study…

Community-based systems of care (SOC) provide a range of services to students with significant emotional and behavioral difficulties and their families. However, little is known about the educational characteristics and functioning of students at enrollment in SOC. The purpose of this study was to replicate and extend previous research by…

This article reports three studies that evaluated the test-retest and inter-rater reliability of the "Preschool Behavioral and Emotional Rating Scale" (PreBERS) (Epstein & Synhorst, 2009). First, teachers rated 63 children receiving school services for disability on the PreBERS, with two ratings one month apart. Second,…

Logistic regression analyses were used to establish the most robust set of risk factors that would best predict borderline/clinical levels of problem behavior (i.e., a t score at or above 60 on the Child Behavior Checklist Total Problem scale) of kindergarten and first-grade children at risk for emotional and behavioral disorders. Results showed…