Sofía Buelga

Validación de la escala de victimización entre adolescentes a través del teléfono móvil y de internet

OBJETIVO: Validar la Escala de Victimizacion entre Adolescentes a traves del Telefono Movil y de Internet (CYBVIC), analizando sus propiedades psicometricas. METODOS: Se realizo un estudio transversal descriptivo en el que participaron dos muestras independientes de adolescentes de ambos sexos, de entre 11 y 19 anos. La primera muestra estuvo constituida por 1 934 adolescentes espanoles, y la segunda por 1 483 adolescentes mexicanos. Se realizo un analisis factorial exploratorio de la escala con la primera muestra, y un analisis factorial confirmatorio con la segunda. Tambien se llevaron a cabo analisis multigrupo, analisis de fiabilidad y analisis de las correlaciones de las dimensiones de la escala con diversas variables externas de ajuste psicologico (sintomatologia depresiva, estres percibido, soledad, satisfaccion con la vida y victimizacion tradicional). RESULTADOS: Se encontraron dos factores, denominados cybmovil y cybinternet, que en conjunto explicaron 52% de la varianza. Estos factores fueron congruentes con la propuesta teorica original. El analisis factorial confirmatorio mostro un ajuste adecuado del modelo de dos factores correlacionados. Los datos indicaron la invarianza factorial del cuestionario entre las muestras de Espana y Mexico. El analisis de fiabilidad confirmo que la escala posee una consistencia interna adecuada. Se encontraron correlaciones significativas entre las dimensiones cybmovil y cybinternet con las variables externas con las que se relacionaron. Conclusiones. La escala CYBVIC tiene propiedades psicometricas adecuadas y puede ser utilizada como una medida valida y fiable en nuevas investigaciones, que contribuyan a ampliar el conocimiento sobre este problema mundial creciente de cyberbullying entre adolescentes.

Psychological profile of adolescent cyberbullying aggressors / Perfil psicosocial de adolescentes agresores de cyberbullying

Abstract The aim of this study was to analyse adolescent cyberbullying aggressors’ psychosocial profiles, taking into account the psychosocial adjustment indicators of life satisfaction, non-conforming reputation, antisocial behaviours at school and antisocial behaviours in the community. The sample was made up of 877 Spanish students (48.6% boys and 51.4% girls) aged 11 to 17 (M = 13.8, SD = 1.4). Three groups of adolescents were distinguished: severe cyberbullies, occasional cyberbullies and non-aggressor adolescents. Analysis of covariance results indicated differences between the two cyberbullying groups and non-aggressor adolescents. The severe cyberbullies, followed by occasional cyberbullies, showed the least adaptive psychosocial profiles, while non-aggressor adolescents obtained the most adaptive profiles. We also discuss the practical implications of these results.

Cyberbullying aggressors among Spanish secondary education students: an exploratory study

Purpose – This paper aims to explore the prevalence rate of adolescents engaging in aggressive behaviours towards their peers using the Internet and mobile phones, while examining the duration and intensity of this cyberbullying, and to analyse differences in cyberbullying behaviours based on gender and age (academic grades). Research on cyberbullying indicates that it is a global problem that is increasing dramatically among adolescents. Design/methodology/approach – The sample was composed of 1,415 Spanish adolescents of both sexes (760 boys and 655 girls) between 12 and 17 years old (M = 13.9 years old; SD = 1.4). Findings – The results indicated that the cyberbullying prevalence among adolescents in the past year was 32 per cent. Likewise, the data suggest that boys and students in their fourth year of secondary education (15-17 years old) perpetrated cyberbullying on their peers more than girls and students in lower grades. Research limitations/implications – The results presented in this research sh...

Family Relationships and Cyberbullying

This chapter analyzes the relationship between family and cyberbullying, a type of technological harassment among peers which is of growing concern in the scientific community and in today’s society. First, this chapter discusses factors associated with family functioning that may predict cyberbullying, particularly the family climate (cohesion, expressivity, and conflict) and parent–children communication. It also examines the role of parental socialization styles and their continuity with parental styles on the Internet: authoritarian style, laissez-faire, permissive and authoritative. In relation to parental styles, one section in this chapter describes the parental monitoring of Internet use and the various types of parental mediation strategies used by parents to control their children’s online behavior. The chapter ends with a section on preventing cyberbullying in the family itself. It concludes that parent–children communication helps create a positive family climate to implement emotionally suitable socialization styles and, in short, to prevent risky behaviors in children.

Violencia escolar y actitud hacia la autoridad de estudiantes agresores de cyberbullying

The main aim of the study is to analyze the differences among students involved in cyberbullying situations (not involved, occasional, severe) in their attitudes toward institutional authority and their participation in direct and indirect violent school behavior, considering the interaction with gender. The sample is composed of 1062 secondary education students of both sexes between 12 and 18 years old. The results of the multivariate analysis show no interactions, but they do show main effects of the group and gender variables. Severe cyberbullies have greater rejection of institutional authority, transgression of norms, and direct and relational violent school behaviors toward peers. Boys have more favorable attitudes toward social norm transgression, and they participate more than girls in direct violent school behaviors involving direct confrontation with the victim. Regression analyses reveal that the study variables predict cyberbullying. These results and their implications are discussed.