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Kevser Tozduman Yarali – Journal of Learning and Teaching in Digital Age, 2025
Digital games are among the most common reasons children use the internet, and the time children spend playing digital games is increasing day by day. This research aims to identify the characteristics of the digital games most preferred by children, while also examining their digital gaming habits. The study was conducted using a qualitative…
Descriptors: Elementary School Students, Middle School Students, Computer Games, Handheld Devices
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Terri N. Sullivan; Katherine M. Ross; Kelly E. O'Connor; Colleen S. Walsh; Diane Bishop – Youth & Society, 2024
This study identified risk, promotive, and protective factors for handgun carriage among 265 primarily African American adolescents (M[subscript age] = 14.3) living in low-income urban areas. Community-based violent victimization and witnessing violence and in-person and cyber forms of peer victimization increased the probability of handgun…
Descriptors: African American Children, Adolescents, Weapons, Violence
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Kreski, Noah T.; Chen, Qixuan; Olfson, Mark; Cerdá, Magdalena; Martins, Silvia S.; Mauro, Pia M.; Branas, Charles C.; Rajan, Sonali; Keyes, Katherine M. – Journal of School Health, 2022
Background: Being bullied online is associated with being bullied in school. However, links between online bullying and violence-related experiences are minimally understood. We evaluated potential disparities in these associations to illuminate opportunities to reduce school-based violence. Methods: We used five cohorts of Youth Risk Behavior…
Descriptors: Bullying, Computer Mediated Communication, Violence, Aggression
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G. R. Paez – International Journal of Bullying Prevention, 2020
Cyberbullying continues to be prevalent among adolescents, and advancing technology provides more ways for this harmful behavior to persist. Using data from the "Health Behavior in School-Aged Children" survey administered by the World Health Organization, this study examines the influence of individual, attachment, and victimization…
Descriptors: Bullying, Computer Mediated Communication, Victims, Adolescents
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Lisa M. Jones; Anna Segura Montagut; Kimberly J. Mitchell; Heather A. Turner; Sherry Hamby; Carlos A. Cuevas – International Journal of Bullying Prevention, 2024
While research knowledge of bias-based bullying is increasing, there has been only limited research comparing in-person and online bias-based victimization incidents. The current study presents data on 521 bias-based incidents experienced by a large sample of youth (n = 854), 13-21 years old, examining differences between incidents that occurred…
Descriptors: Comparative Analysis, Bullying, Victims, Emotional Disturbances
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Mindrila, Diana; Davis, Pamela; Moore, Lori – Journal of Research in Education, 2018
The study aimed to develop a typology of victimization based on the extent to which students experienced face-to-face (traditional) victimization and/or cyber-victimization and, consequently, manifested fear and avoidance. The sample consisted of 497 adolescents (ages 12- 18) who took the 2011 School Crime Supplement of the National Crime…
Descriptors: Adolescents, Victims, Bullying, Computer Mediated Communication
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Waasdorp, Tracy E.; Berg, Juliette; Debnam, Katrina J.; Stuart, Elizabeth A.; Bradshaw, Catherine P. – Journal of School Violence, 2018
Parochial schools are assumed to provide better social and academic experiences; however, few studies account for selection bias when comparing with public schools. This study contrasted public versus parochial schools using propensity score matching across a range of outcomes (e.g., perceptions of school, emotional symptoms, substance use,…
Descriptors: Risk, Parochial Schools, Symptoms (Individual Disorders), Mental Health
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Mindrila, Diana; Moore, Lori; Davis, Pamela – Journal of Research in Education, 2015
The current study investigated the relationship between behavior management, traditional bullying, cyber-victimization, and several psychosocial consequences of cyber-victimization. Findings from previous research were used to specify a complex path model, which allowed the simultaneous estimation of multiple direct and indirect effects. Data were…
Descriptors: Bullying, Victims, Predictor Variables, Crime