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Paul Caldarella; Ross A. A. Larsen; Leslie Williams; Howard P. Wills – Journal of Positive Behavior Interventions, 2023
Middle school teachers frequently struggle with positively managing student behavior. However, praise-to-reprimand ratios (PRRs) have received little research attention. PRRs studied in elementary school have been positively associated with improvements in on-task and prosocial behavior, but limited research has been conducted on optimal PRRs in…
Descriptors: Teacher Student Relationship, Correlation, Prosocial Behavior, At Risk Students
Daunic, Ann P.; Corbett, Nancy L.; Smith, Stephen W.; Algina, James; Poling, Daniel; Worth, Megan; Boss, Delaney; Crews, Emily; Vezzoli, Jessica – Grantee Submission, 2021
Researchers have shown that children's social-emotional growth is inextricably connected to academic learning. We developed the Social-Emotional Learning Foundations (SELF) intervention, a Grade K-1 curriculum merging social-emotional learning (SEL) and literacy instruction, to promote language supported self-regulation, specifically for primary…
Descriptors: Kindergarten, Grade 1, Literacy Education, Self Control
Paul Caldarella; Ross A. A. Larsen; Leslie Williams; Howard P. Wills – Grantee Submission, 2021
Middle school teachers frequently struggle with positively managing student behavior. However, praise-to-reprimands ratios (PRRs) have received little research attention. PRRs studied in elementary school have been associated positively with improvements in on-task and prosocial behavior, but limited research has been conducted on optimal PRRs in…
Descriptors: Teacher Student Relationship, Correlation, Prosocial Behavior, At Risk Students
Donohue, Peg; Goodman-Scott, Emily; Betters-Bubon, Jennifer – Professional School Counseling, 2016
This study describes the benefits of systematic universal screening (US) for school counselors engaged in the creation of effective, multi-tiered systems of support that address academic, social, emotional, and behavioral student concerns. The authors used an action research framework to present a case example of one school district's pilot of US…
Descriptors: Identification, At Risk Students, Screening Tests, Case Studies
Nordness, Philip D.; Epstein, Michael H.; Cullinan, Douglas – Intervention in School and Clinic, 2013
A key issue in using the federal definition of emotional disturbance (ED) is the challenge of measuring five characteristics of ED (Epstein, Nordness, Cullinan, & Hertzog, 2002). Stated briefly, these five characteristics include: (1) an inability to learn; (2) relationship problems; (3) inappropriate behavior; (4) unhappiness or depression;…
Descriptors: Emotional Disturbances, Disability Identification, Classroom Observation Techniques, Measures (Individuals)
Caldarella, Paul; Larsen, Ross A. A.; Williams, Leslie; Wehby, Joseph H.; Wills, Howard; Kamps, Debra – Journal of Positive Behavior Interventions, 2017
Numerous well-validated academic progress monitoring tools are used in schools, but there are fewer behavioral progress monitoring measures available. Some brief behavior rating scales have been shown to be effective in monitoring students' progress, but most focus only on students' social skills and do not address critical academic-related…
Descriptors: Psychometrics, Interpersonal Competence, Classroom Environment, Elementary Schools
Caldarella, Paul; Larsen, Ross A. A.; Williams, Leslie; Wehby, Joseph H.; Wills, Howard P.; Kamps, Debra M. – Grantee Submission, 2017
Numerous well validated academic progress monitoring tools are used in schools, but there are fewer behavioral progress monitoring measures available. Some brief behavior rating scales have been shown to be effective in monitoring students' progress, but most focus only on students' social skills and do not address critical academic-related…
Descriptors: Psychometrics, Interpersonal Competence, Classroom Environment, Elementary Schools
Kalberg, Jemma Robertson; Lane, Kathleen Lynne; Menzies, Holly Mariah – Education and Treatment of Children, 2010
Many school systems are adopting three-tiered models of prevention (e.g., Response to Intervention and Positive Behavior Support) to support an increasingly diverse student population (Sugai, Horner, & Gresham, 2002). A central feature of these models is that data are monitored to determine responsiveness. We offer this paper as a guide for…
Descriptors: Curriculum Based Assessment, Prevention, Behavior Disorders, Screening Tests
Marchant, Michelle; Anderson, Darlene H.; Caldarella, Paul; Fisher, Adam; Young, Benjamin J.; Young, K. Richard – Preventing School Failure, 2009
Researchers have suggested that screening, identification, and treatment are important components of comprehensive systems of positive behavior support. The authors highlight a procedure for using multiple data sources to develop strategies at the universal intervention level. Examples of schoolwide assessments include interviews, observations,…
Descriptors: Behavior Disorders, Identification, Emotional Disturbances, Prevention
Kalberg, Jemma Robertson; Lane, Kathleen Lynne; Driscoll, Steven; Wehby, Joseph – Remedial and Special Education, 2011
The authors examined the utility of a modified version of the "Systematic Screening for Behavior Disorders" for use at the high school level to address issues of comorbidity. Results suggested that the modified version was able to discriminate among students with varying degrees of risk in terms of academic performance as measured by…
Descriptors: Grade Point Average, Academic Achievement, Behavior Disorders, Student Adjustment
Lane, Kathleen Lynne; Little, M. Annette; Casey, Amy M.; Lambert, Warren; Wehby, Joseph; Weisenbach, Jessica L.; Phillips, Andrea – Journal of Emotional and Behavioral Disorders, 2009
Early identification of students who might develop emotional and behavioral disorders (EBD) is essential in preventing negative outcomes. Systematic screening tools are available for identifying elementary-age students with EBD, including the "Systematic Screening for Behavior Disorders" (SSBD) and the "Student Risk Screening…
Descriptors: Validity, Behavior Disorders, Identification, Resource Allocation

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