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John W. Maag – Beyond Behavior, 2025
Use of high-probability request sequences is a low-intensity intervention for increasing student compliance. There are several subtleties in implementing high-probability request sequences that make the process more complex. Review of supporting research raises concerns about how well the intervention translates into practice. This article…
Descriptors: Sentences, Language Usage, Compliance (Psychology), Student Behavior
Katie Pelton; Kathleen Lane – Society for Research on Educational Effectiveness, 2024
Universal behavior screening is used in schools worldwide to detect students with and at risk for behavioral challenges. As schools prepare to implement screening, they face a major decision: which screening tool to use. Several scholars have published recommendations to support education leaders in selecting a screening assessment (Glover &…
Descriptors: Screening Tests, Educational Research, Student Behavior, Behavior Problems
Zhe Gigi An; Hyunwoo Yang – Remedial and Special Education, 2025
Using data extracted from the Parent and Family Involvement in Education Survey of the 2019 National Household Education Surveys Program, this study used a series of linear probability models to examine the association between family-school relationships and exclusionary discipline. The sample included 15,360 U.S. families of K-12 non-homeschooled…
Descriptors: Family School Relationship, Discipline, Students with Disabilities, Expulsion
Robert White – Journal of the American Academy of Special Education Professionals, 2024
The positive promotion of social and emotional wellbeing in schools can be seen as a means to lessen the impact of social difficulties and behavioral problems on educational engagement. This study employed a multicomponent, whole school approach to promoting positive social and emotional wellbeing. School personnel identified nine primary Key…
Descriptors: At Risk Students, Behavior Problems, Student Behavior, Social Emotional Learning
Jiyung Hwang; Jiwon Hwang; Jessica Rodrigues; Min-Kyung Han – Elementary School Journal, 2024
The present study used the Early Childhood Longitudinal Study, Kindergarten Class of 2011 (ECLS-K:2011) to examine the bidirectionality and co-occurrence between math achievement and behavioral outcomes of upper elementary school students. We analyzed the cross-lagged relations across four groups of students who had different initiating statuses…
Descriptors: Mathematics Achievement, Student Behavior, At Risk Students, Elementary School Students
Alison L. Zagona; Motoaki Hara; Sheldon Loman; Jennifer A. Kurth; Virginia L. Walker – Research and Practice for Persons with Severe Disabilities, 2025
Positive Behavioral Interventions and Supports (PBIS) is an evidence-based practice that promotes positive academic and behavioral outcomes for all students and is intended to support the needs of all students across three tiers of support. However, research suggests students with complex support needs have limited access to Tier 1 PBIS. Teachers'…
Descriptors: Teacher Attitudes, Positive Behavior Supports, Student Needs, Student Placement
Wills, Howard P.; Caldarella, Paul; Williams, Leslie; Fleming, Kandace; Chen, Pei-Yu – Journal of Behavioral Education, 2023
Middle school is a cornerstone for success in high school. However, cognitive, emotional, and behavioral engagement of adolescents often decline as they transition from elementary to middle school, resulting in lower school grades and more challenging behaviors, especially for adolescents with or at risk for emotional and behavioral disorders…
Descriptors: Middle School Students, Classroom Techniques, Student Behavior, Intervention
Michael D. Broda; Kristen L. Granger; Jason C. Chow; Robin Sayers; Melissa Washington-Nortey; Emma Dear; Kevin S. Sutherland; Maureen A. Conroy – Teacher Education and Special Education, 2025
This study used integrative data analysis to examine profiles of teacher-student relationships and teacher's use of research-based behavior management practices in early childhood and K-third-grade classrooms with students with or at risk for emotional and behavioral disorders (EBD). We also examined the association of these profiles with student…
Descriptors: Teacher Student Relationship, Classroom Techniques, Behavior Modification, Behavior Problems
Kathleen Lynne Lane; Wendy Peia Oakes; Mark Matthew Buckman; Nathan Allen Lane; Katie Scarlett Lane; Kandace Fleming; Rebecca E. Swinburne Romine; Rebecca L. Sherod; Chi-Ning Chang; Emily Dawn Cantwell – Behavioral Disorders, 2024
In this article, we examined predictive validity of the newly defined "Student Risk Screening Scale--Internalizing and Externalizing" (SRSS-IE 9, with nine items) when used by teachers for the first time, with a sample of 24,535 elementary students from 74 schools in four U.S. geographic regions. Results indicated fall externalizing and…
Descriptors: Screening Tests, Predictive Validity, At Risk Students, Scores
Michelle Bibeau – ProQuest LLC, 2023
The purpose of this phenomenological qualitative study was to examine educational leaders' experiences in leading behavioral crisis intervention and crisis team management with at-risk students in Title I K-5 elementary schools. The theoretical and conceptual framework that guided this study was Northouse's (2019) Behavioral Approach in concert…
Descriptors: Behavior Problems, Behavior Disorders, Student Behavior, Crisis Intervention
Emily Graybill; Scott Lewis; Ella Anghel; Sofia Awan; Brian Barger; Ashley Salmon – Psychology in the Schools, 2025
Early warning indicator and intervention systems (EWS) have been promoted to identify students at risk of school underperformance or dropout. Current EWS systems typically include administrative data on attendance, behavior incidents requiring disciplinary action, and course performance. This study tested whether specific emotional and behavioral…
Descriptors: Screening Tests, Student Behavior, Early Intervention, Middle School Students
Antonio A. Morgan-López; Lissette M. Saavedra; Heather L. McDaniel; Stephen G. West; Nicholas S. Ialongo; Catherine P. Bradshaw; Alexandra T. Tonigan; Barrett W. Montgomery; Nicole P. Powell; Lixin Qu; Anna C. Yaros; John E. Lochman – Grantee Submission, 2024
Coping Power (CP) is a preventive intervention that focuses on reducing child externalizing problems. Although it is typically delivered in a group format (GCP), individually-delivered CP (ICP) has produced greater mean reductions in externalizing problems. However, standard analysis of randomized trials loses individual-level information…
Descriptors: Coping, Prevention, Intervention, Child Behavior
Megan Cook – ProQuest LLC, 2023
Previous research identifies the negative outcomes associated with behavioral and emotional risk (BER) and experiences of trauma in childhood. Studies have shown that elevated BER and experiences of trauma are connected to poor academic performance, as well as other maladaptive behavioral outcomes (Martinez et al., 2014; Perfect et al., 2016; Ray…
Descriptors: Elementary School Students, Academic Achievement, Student Behavior, Behavior Problems
Muratori, Pietro; Giofrè, David; Bertacchi, Iacopo; Darini, Alessandra; Giuli, Consuelo; Lai, Elisa; Modena, Alessia; Lochman, John E.; Mammarella, Irene – Early Childhood Education Journal, 2022
The Coping Power Program is an evidence-based intervention for children identified to be at risk for developing externalizing behavioral problems. The Coping Power Program has been adapted to universally prevent behavioral problems in school-aged children. This study sought to test the efficacy of this adaptation, the Coping Power Universal…
Descriptors: Coping, Intervention, Behavior Problems, Preschool Children
Kathleen Lynne Lane; Wendy Peia Oakes; Mark Matthew Buckman; Nathan Allen Lane; Katie Scarlett Lane; Kandace Fleming; Rebecca E. Swinburne Romine; Rebecca L. Sherod; Emily Dawn Cantwell; Chi-Ning Chang – Grantee Submission, 2024
Introduction: We report predictive validity of the newly defined Student Risk Screening Scale -- Internalizing and Externalizing (SRSS-IE 9, with 9 items) when used for the first time by middle and high school teachers from 43 schools. Methods: The sample included 11,773 middle school-aged students representing four geographic regions, and 7,244…
Descriptors: Predictive Validity, Middle School Students, High School Students, At Risk Students

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