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Webb, Lindsey; Musci, Rashelle; Mendelson, Tamar – Grantee Submission, 2021
Objective: To identify subgroups of urban youth based on their self- and teacher-reported mental health symptoms, and to explore characteristics of these subgroups. Methods: Cross-sectional data from 426 eighth-grade students (M[subscript age] = 13.22 years; 70.1% Black/ African American; 58.7% female) across 20 Baltimore City public schools were…
Descriptors: Comorbidity, Urban Youth, Mental Disorders, Grade 8
Jacob L. DeBoer; Anna C. J. Long – School Mental Health, 2024
Universal screening continues to be a missed opportunity for addressing mental health in schools. The current study compared three separate self-report screening tools: the Behavior Assessment System for Children-Third Edition: Behavioral and Emotional Screening System (BASC-3 BESS), Youth Internalizing and Externalizing Problems Screener (YIEPS),…
Descriptors: Mental Health, Measurement Techniques, Rating Scales, Child Behavior
Monopoli, W. John; Evans, Steven W.; Himawan, Lina K. – Journal of School Violence, 2022
Research has identified at least three patterns of direct involvement in bullying and victimization: bullying, bullying-victimized, and predominantly victimized. However, little is known about risk and protective factors for these patterns. As such, the goals of the present study were to establish these patterns and examine risk and protective…
Descriptors: Bullying, Victims, At Risk Students, Middle School Students
Sinclair, Anne C.; Gesel, Samantha A.; Lemons, Christopher J. – Journal of Positive Behavior Interventions, 2019
Education researchers have recently called for the development of interventions to address the needs of students with or at risk of disabilities who exhibit co-occurring academic and behavioral needs. Teachers of these students frequently prioritize intervening on problem behavior rather than academics. However, addressing students' academic needs…
Descriptors: Peer Relationship, Behavior Problems, Learner Engagement, At Risk Students
Wills, Howard P.; Caldarella, Paul; Mason, Benjamin A.; Lappin, Amanda; Anderson, Darlene H. – Journal of Positive Behavior Interventions, 2019
Transitioning from elementary to middle school is a time of particular vulnerability for students with behavior problems. This study examined the effects of class-wide function-related intervention teams (CW-FIT) in three middle school classrooms to determine whether this multitiered intervention could help teachers proactively manage student…
Descriptors: Student Behavior, Middle School Students, Classroom Techniques, Intervention
Wills, Howard P.; Caldarella, Paul; Mason, Benjamin; Lappin, Amanda; Anderson, Darlene H. – Grantee Submission, 2019
Transitioning from elementary to middle school is a time of particular vulnerability for students with behavior problems. This study examined the effects of class-wide function-related intervention teams (CW-FIT) in three middle school classrooms to determine whether this multi-tiered intervention could help teachers proactively manage student…
Descriptors: Student Behavior, Middle School Students, Classroom Techniques, Intervention
Nese, Rhonda N. T.; Bastable, Eoin; Gion, Cody; Massar, Michelle; Nese, Joseph F. T.; McCroskey, Connor – Journal of At-Risk Issues, 2020
Decades of research have shown that exclusionary discipline practices are not only ineffective for changing student behavior, they lead to worse social, behavioral, and academic outcomes for students. This article explores the findings from a pilot study of the "Inclusive Skill-Building Learning Approach" (ISLA), an instructional…
Descriptors: Discipline, Student Behavior, Behavior Problems, Behavior Modification
Gross, Thomas J.; Duncan, Jenna; Kim, Samuel Y.; Alex Mason, W.; Haggerty, Kevin P. – Contemporary School Psychology, 2019
The current study examined (1) if the Strengths and Difficulties Questionnaire (SDQ) would yield alternative factor structures related to either symptoms or strengths with early adolescent students when an exploratory factor analysis (EFA) is used; (2) which scales best predicted suspensions of typically developing early adolescents; and (3) what…
Descriptors: Predictor Variables, Suspension, At Risk Students, Risk
Griffiths, Amy-Jane; Izumi, Jared T.; Alsip, James; Furlong, Michael J.; Morrison, Gale M. – Preventing School Failure, 2019
This research examined the risk and protective factors of responders and nonresponders to a schoolwide implementation of positive behavioral interventions and supports (SW-PBIS) within an alternative school. Students completed self-perception measures of individual, school, community, and home systems. Multivariate analysis of variance indicated a…
Descriptors: Positive Behavior Supports, At Risk Students, Nontraditional Education, Delinquency
Elizabeth T. Eagan – ProQuest LLC, 2016
Purpose - This investigation determined how students with Learning Disabilities (LD) navigate the difficult transition from grade 8 to grade 9 compared to their non-disabled peers. This longitudinal study assessed group and grade differences on three observable, measurable factors found to be important for school success in grades 7 through 10.…
Descriptors: Success, Students with Disabilities, Learning Disabilities, Student Adjustment
Bruhn, Allison Leigh; Woods-Groves, Suzanne; Fernando, Josephine; Choi, Taehoon; Troughton, Leonard – Behavioral Disorders, 2017
Multitiered frameworks like Positive Behavior Interventions and Supports (PBIS) have been recommended for preventing and remediating behavior problems. In this study, technology-based self-monitoring was used as a Tier 2 intervention to improve the academic engagement and disruptive behavior of three middle school students who were identified as…
Descriptors: Behavior Problems, Positive Behavior Supports, Intervention, Prevention
Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
Wang, Ming-Te; Fredricks, Jennifer A. – Child Development, 2014
Drawing on the self-system model, this study conceptualized school engagement as a multidimensional construct, including behavioral, emotional, and cognitive engagement, and examined whether changes in the three types of school engagement related to changes in problem behaviors from 7th through 11th grades (approximately ages 12-17). In addition,…
Descriptors: Learner Engagement, Behavior Problems, Dropouts, Adolescents
Randle, Edward – School Social Work Journal, 2016
Using secondary analysis, the author examined outcomes of academics, attendance, and discipline problems for 999 students placed in disciplinary alternative education programs (DAEPs) during the 2005-06 academic school year utilizing the Boys Town Educational Model as the intervention. Surprisingly, academic averages decreased, average attendance…
Descriptors: Nontraditional Education, Academic Achievement, Attendance, Discipline
Ayvazo, Shiri; Aljadeff-Abergel, Elian – Support for Learning, 2014
Teaching has become a very challenging profession with the requirements to provide appropriate individualised instruction in large and diverse classes. Problem behaviours displayed by students with special needs exacerbate the difficulties. This is especially true and intense in physical education, where students are exposed to extreme emotional…
Descriptors: Peer Teaching, Individualized Instruction, Disabilities, Behavior Problems
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