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Xi Li; Yuejiao Zhao; Kewen Jiang; Ke Shi; Fangying Gong; Ning Chen; Wei Liu – Journal of Adolescence, 2025
Introduction: Bullying among adolescents is a global public health issue prevalent in schools, posing significant risks to positive adolescent development. Studies have shown that bullied adolescents tend to engage in more bullying perpetration, but this underlying process of longitudinal correlation has not been fully elucidated. Methods: Based…
Descriptors: Bullying, Victims, Antisocial Behavior, Adolescents
Andrés Rubio; Juan Carlos Oyanedel; Ferran Viñas; Javier Torres-Vallejos; Cristián Céspedes-Carreño; Danae Pedraza; Rami Benbenishty – European Journal of Psychology of Education, 2024
This study analyzed the mediating role that implicit theories of intelligence and academic self-efficacy may play in the relationship between psychopathology and mathematical performance. The sample consisted of 838 students from first and second year of high school. A numerical calculation test was applied, followed by psychopathology self-report…
Descriptors: Intelligence, Psychopathology, Self Efficacy, Academic Ability
Davis, Marcia H. – Journal of Education for Students Placed at Risk, 2023
U.S. Department of Education research indicates that early warning indicator systems are being used in at least half of high schools in the United States. Previous findings from an efficacy study of one early warning indicator and response system, the Early Warning Indicator (EWI) team model, indicated that ninth grade students in schools using…
Descriptors: High Schools, High School Students, Grade 9, Dropout Prevention
Assessing Rural Communities' Readiness to Prevent Prescription Drug Misuse among High School Student
Peña-Purcell, Ninfa; Abdoh, Rashid; Hong, Se-Jung; Collins, David; Johnson, Knowlton – Journal of Alcohol and Drug Education, 2021
The Community Readiness Model (CRM) developed and validated by the Tri-Ethnic Center was adapted to identify at-risk communities in six rural Texas counties. Five to six key informants per county were recruited from a variety of community sectors to participate in phone interviews. Paired scorers independently analyzed individual interview…
Descriptors: Models, Drug Abuse, Prevention, Rural Areas
Grant, Jessica; Yokum, Russell; Holzman, Glenn – Journal of At-Risk Issues, 2020
Based on existing empirical research, schools continue to use single intervention programs for intervening on behalf of at-risk students despite the fact that those programs do not meet with significant success in decreasing dropout rates. The problem is that the phenomenon of multidimensional approaches to intervening on behalf of ninth-grade…
Descriptors: Holistic Approach, Intervention, At Risk Students, High School Students
Nouwen, Ward; Clycq, Noel – European Journal of Psychology of Education, 2021
Tackling early leaving from education and training (ELET) is one of the headline targets for education policy in the European Union. Although ELET rates have been decreasing in most member states, male, socially disadvantaged and immigrant students remain overrepresented in ELET figures. Moreover, students in vocational tracks and students who…
Descriptors: Foreign Countries, At Risk Students, Potential Dropouts, Dropout Prevention
Moore, Stephanie A.; Dowdy, Erin; Nylund-Gibson, Karen; Furlong, Michael J. – Grantee Submission, 2019
Dual-factor models of mental health are increasingly supported but little is known about longitudinal trends in dual-factor mental health. The current study used latent profile analysis (LPA) to empirically identify dual-factor mental health classes at each of Grades 9 through 12 and latent transition analysis (LTA) to examine stability of classes…
Descriptors: Mental Health, Models, High School Students, Adolescents
Christie, S. Thomas; Jarratt, Daniel C.; Olson, Lukas A.; Taijala, Taavi T. – International Educational Data Mining Society, 2019
Schools across the United States suffer from low on-time graduation rates. Targeted interventions help at-risk students meet graduation requirements in a timely manner, but identifying these students takes time and practice, as warning signs are often context-specific and reflected in a combination of attendance, social, and academic signals…
Descriptors: Dropout Prevention, At Risk Students, Artificial Intelligence, Decision Support Systems
Elise T. Pas; Christine Crimmins; Mary Kay Connerton; Ryan Voegtlin; Jessika Bottiani; Katrina Debnam; Kathryn B. Rockefeller; Megan Lewis; Susan Love; Catherine P. Bradshaw – Grantee Submission, 2024
Educators have embraced the promotion of social emotional development, student well-being, and mental health as essential educational objectives to promote academic readiness and growth. To address known research-to-practice gaps and limited availability of evidence-based, universal high school programs, we took a community-based participatory…
Descriptors: College School Cooperation, Wellness, Health Promotion, Instructional Design
Baker, Ryan S.; Berning, Andrew W.; Gowda, Sujith M.; Zhang, Shizhu; Hawn, Aaron – Journal of Education for Students Placed at Risk, 2020
Dropout remains a persistent challenge within high school education. In this paper, we present a case study on automatically detecting whether a student is at-risk of dropout within a diverse school district in Texas. We predict whether a student will drop out in a future school year from data on students' discipline, attendance, course-taking,…
Descriptors: At Risk Students, High School Students, Dropout Prevention, Student Diversity
Reinke, Wendy M.; Herman, Keith C.; Thompson, Aaron; Copeland, Christa; McCall, Chynna S.; Holmes, Shannon; Owens, Sarah A. – Grantee Submission, 2021
Many youth experience mental health problems. Schools are an ideal setting to identify, prevent, and intervene in these problems. The purpose of this study was to investigate patterns of student social, emotional, and behavioral risk over time among a community sample of 3rd through 12th grade students and the association of these risk patterns…
Descriptors: Mental Disorders, Models, Mental Health, Prevention
Rose, Alison L.; Atkey, Sarah K.; Flett, Gordon L.; Goldberg, Joel O. – Psychology in the Schools, 2019
Self-stigma is a phenomenon in which negative public stereotypes about mental illness are internalized and can undermine help-seeking. Unfortunately, little is known about how self-stigmatization relates to positive well-being indicators among youth. A sample of 134 high school students completed established measures of self-stigma, well-being,…
Descriptors: Well Being, High School Students, Self Efficacy, Self Esteem
Reinke, Wendy M.; Herman, Keith C.; Thompson, Aaron; Copeland, Christa; McCall, Chynna S.; Holmes, Shannon; Owens, Sarah A. – School Psychology Review, 2020
Many youth experience mental health problems. Schools are an ideal setting to identify, prevent, and intervene in these problems. The purpose of this study was to investigate patterns of student social, emotional, and behavioral risk over time among a community sample of 3rd through 12th grade students and the association of these risk patterns…
Descriptors: Mental Disorders, Models, Mental Health, Prevention
Chapin, John – Education and Information Technologies, 2016
A survey of adolescents (N = 1,488) documented Facebook use and experience with cyber bullying. The study found that 84% of adolescents (middle school through college undergraduates) use Facebook, and that most users log on daily. While 30% of the sample reported being cyber bullied, only 12.5% quit using the site, and only 18% told a parent or…
Descriptors: Models, Social Media, Computer Mediated Communication, Bullying
Aypay, Ayse – Educational Sciences: Theory and Practice, 2017
This study aims to develop and test the validity of a model limited to attitude towards the future and subjective well-being for reducing and preventing the school burnout that high school students can experience. The study is designed as a relational screening model conducted over 389 high school students. The data in this study are analyzed…
Descriptors: Foreign Countries, High School Students, Burnout, Prevention