Our study aims at testing the role of different predictors of victimization across the traditional and cyber forms of bullying in a sample of Italian adolescents. We’ll evaluate the influence of gender and age variables on the different forms of bullying investigated, as well as school clima, self-esteem and loneliness as reported by victims of traditional (direct/indirect) and cyberbullying (mobile/internet) in a sample of 1502 subjects from middle to high school (age range 12-16). Beside a questionnaire on new forms of bullying, measures for Self esteem and Loneliness were also provided. Logistic Regression Models show that although sex, school clima and Loneliness dimensions were significant predictors in all the three tested models, they showed different relations with the dependent variable.These results point out to different constellations of risk factors as a function of specific contexts in which the victims are involved.
Predictors Of Victimization Across Direct Bullying, Indirect Bullying and Cyberbullying / A. Brighi ; A.Guarini ; M. L. Genta. - ELETTRONICO. - (2011), pp. 389-389. (Intervento presentato al convegno Embracing Diversity-12th European Congress of Psychology tenutosi a Istanbul nel 4-8 Luglio 2011).
Predictors Of Victimization Across Direct Bullying, Indirect Bullying and Cyberbullying
BRIGHI, ANTONELLA;GUARINI, ANNALISA;
2011
Abstract
Our study aims at testing the role of different predictors of victimization across the traditional and cyber forms of bullying in a sample of Italian adolescents. We’ll evaluate the influence of gender and age variables on the different forms of bullying investigated, as well as school clima, self-esteem and loneliness as reported by victims of traditional (direct/indirect) and cyberbullying (mobile/internet) in a sample of 1502 subjects from middle to high school (age range 12-16). Beside a questionnaire on new forms of bullying, measures for Self esteem and Loneliness were also provided. Logistic Regression Models show that although sex, school clima and Loneliness dimensions were significant predictors in all the three tested models, they showed different relations with the dependent variable.These results point out to different constellations of risk factors as a function of specific contexts in which the victims are involved.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
