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Young, Ellie L.; Moulton, Sara E.; Julian, Alex – Preventing School Failure, 2021
The authors compared data from a social-emotional-behavior screener (i.e., the "Student Risk Screening Scale--Internalizing and Externalizing" [SRSS-IE]) with data from a high school early warning system. Data from 2,256 suburban high school students were used. Research questions examined the degree to which student demographic variables…
Descriptors: Student Behavior, Social Development, Emotional Development, At Risk Persons
Frank, Jennifer L. – Preventing School Failure, 2019
The purpose of this study was to establish empirical benchmarks for the rate of student discipline in public alternative schools in the United States and to identify normative rates of disciplinary infractions across different grade levels, gender, and racial groups. Participants included 15,846 students attending 108 alternative schools in 73…
Descriptors: Prevention, Academic Failure, Discipline, Student Behavior
Wong-Lo, Mickie; Bullock, Lyndal M. – Preventing School Failure, 2011
Cyberbullying is a category of bullying that occurs in the digital realm and affects students at astonishing rates. Unlike traditional bullying, in which displays of aggression may be evident to bystanders, the ramification of cyberbullying occurs through unconventional strategies (e.g., text messaging, online Web logs, video sharing). As a…
Descriptors: Web Sites, Electronic Publishing, Bullying, Internet
Ball, Carrie R.; Finch, W. Holmes; Gettinger, Maribeth – Preventing School Failure, 2014
Prior research has documented that classroom-level variables have a significant effect on student outcomes; however, previous findings have typically focused on average student outcomes and have only recently begun to use hierarchical linear modeling techniques. The present study aimed to investigate the effects of classroom-level variables on the…
Descriptors: Kindergarten, At Risk Students, Classroom Environment, Context Effect