Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 6 |
Descriptor
Source
Author
Publication Type
| Journal Articles | 10 |
| Reports - Research | 8 |
| Information Analyses | 1 |
| Opinion Papers | 1 |
| Reports - Evaluative | 1 |
Education Level
| Elementary Education | 3 |
| Early Childhood Education | 1 |
| Grade 1 | 1 |
| Junior High Schools | 1 |
| Kindergarten | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
| Researchers | 2 |
| Practitioners | 1 |
Location
| Lithuania | 1 |
Laws, Policies, & Programs
| Individuals with Disabilities… | 1 |
Assessments and Surveys
| Behavior Problem Checklist | 1 |
| Child Behavior Checklist | 1 |
| Strengths and Difficulties… | 1 |
| Systematic Screening for… | 1 |
What Works Clearinghouse Rating
Sointu, Erkko; Lambert, Matthew C.; Nordness, Philip D.; Geležiniene, Renata; Epstein, Michael H. – European Journal of Special Needs Education, 2018
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…
Descriptors: Screening Tests, At Risk Students, Emotional Disturbances, Behavior Disorders
Lambert, Matthew C.; Garcia, Allen G.; Epstein, Michael H.; Cullinan, Douglas – Journal of Applied School Psychology, 2018
The present study examined the psychometric properties of a universal screening instrument called the Emotional and Behavioral Screener (EBS), which is designed to identify students exhibiting emotional and behavioral problems. The primary purposes of this study were to assess the measurement invariance of EBS items between Caucasian and…
Descriptors: Test Bias, White Students, African American Students, Elementary School Students
Pierce, Corey D.; Nordness, Philip D.; Epstein, Michael H.; Cullinan, Douglas – Intervention in School and Clinic, 2016
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…
Descriptors: Screening Tests, At Risk Students, Emotional Problems, Behavior Problems
Nordness, Philip D.; Epstein, Michael H.; Cullinan, Douglas; Pierce, Corey D. – Remedial and Special Education, 2014
The Emotional and Behavioral Screener (EBS) is a universal screening instrument designed to identify students whose excessive problem behaviors put them at risk of the education disability category of emotional disturbance (ED). This article reports findings from three studies that address the reliability and validity of the EBS. Studies 1 and 2…
Descriptors: Screening Tests, Disability Identification, Behavior Problems, At Risk Students
Cullinan, Douglas; Epstein, Michael H. – Preventing School Failure, 2013
This article describes the Emotional and Behavioral Screener, a brief universal screening procedure designed to help identify students whose emotional and behavioral functioning puts them at risk for future serious problems, including identification in the emotional disturbance category. Development of the screener drew on items and normative…
Descriptors: Screening Tests, Test Construction, Test Reliability, Test Validity
Peer reviewedEpstein, Michael H.; And Others – Behavioral Disorders, 1983
Adolescent boys and girls, identified as either behaviorally disordered (N=166) or normal (N=183), were rated by teachers on the Behavior Problem Checklist (BPC), with such results as significant differences for pupil category, BPC dimension, and category by dimension interaction, but no significant differences for sex. (MC)
Descriptors: Adolescents, Behavior Disorders, Behavior Problems, Behavior Rating Scales
Peer reviewedEpstein, Michael H.; And Others – Teacher Education and Special Education, 1992
The individualized education programs (IEPs) of 107 junior high students with behavioral disorders were reviewed. An average of 2.4 behavior problems and 4 goals were noted per student, with a low correlation between problems and goals. (Author/DB)
Descriptors: Behavior Disorders, Behavior Problems, Incidence, Individualized Education Programs
Peer reviewedEpstein, Michael H.; And Others – Behavioral Disorders, 1989
The article reviews research on the academic status of behaviorally disordered adolescents and identifies research needs in the areas of sampling techniques, selection of dependent measures including curriculum-based assessment, assessment of the learning strategy, abilities of students with behavioral disorders, and instructional variables…
Descriptors: Academic Achievement, Behavior Disorders, Behavior Problems, Mathematics Achievement
Nelson, J. Ron; Stage, Scott; Duppong-Hurley, Kristin; Synhorst, Lori; Epstein, Michael H. – Exceptional Children, 2007
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…
Descriptors: Adjustment (to Environment), Personality Traits, Child Behavior, Check Lists
Trout, Alexandra Lynn; Epstein, Michael H.; Nelson, Ron; Synhorst, Lori; Hurley, Kristin Duppong – Topics in Early Childhood Special Education, 2006
Special education legislation has placed an increased emphasis on early intervention programs for children at risk for early literacy delays and behavioral disorders. Given this trend, it is important to understand the characteristics of students identified and served in at-risk programs. This study presents the findings from a cluster analysis on…
Descriptors: Early Intervention, Early Reading, Multivariate Analysis, Emergent Literacy

Direct link
