The Role of Intrapersonal-, Interpersonal-, Family-, and School-Level Variables in Predicting Bias-Based Cybervictimization

Autor/inn/en	Strohmeier, Dagmar; Gradinger, Petra; Yanagida, Takuya
Titel	The Role of Intrapersonal-, Interpersonal-, Family-, and School-Level Variables in Predicting Bias-Based Cybervictimization
Quelle	In: Journal of Early Adolescence, 42 (2022) 9, S.1175-1203 (29 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Strohmeier, Dagmar)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0272-4316
DOI	10.1177/02724316211010335
Schlagwörter	Foreign Countries; Adolescents; Females; Bias; Social Bias; Racism; Gender Bias; Victims; Bullying; Computer Mediated Communication; Predictor Variables; Social Status; Parent Role; Teacher Role; Ethnicity; Immigrants; Austria + Suchen Sie Ihr Suchwort? Ausland; Adolescent; Adolescence; Adoleszenz; Jugend; Jugendalter; Jugendlicher; Weibliches Geschlecht; Rassismus; Geschlechterstereotyp; Victim; Opfer; Mobbing; Computerkonferenz; Prädiktor; Sozialer Status; Parental role; Elternrolle; Lehrerrolle; Ethnizität; Immigrant; Immigrantin; Immigranten; Österreich
Abstract	This study investigated whether social position (e.g., gender, migration, family status), intrapersonal-level (e.g., online risk behaviors, motives of Internet use), interpersonal-level (e.g., victimization and bullying), family-level (e.g., parental mediation), and class-level (e.g., teachers' mediation, ethnic diversity) variables predict bias-based cybervictimization. Self-report questionnaires were completed by 1,018 Austrian adolescents (52.3% girls), aged 12 to 17 years ([X-bar] = 13.55, SD = 0.88). The logistic part of a multilevel zero-inflated Poisson model showed that higher levels of offline victimization and a higher proportion of immigrants in classes were predictors for students reporting at least one form of bias-based cybervictimization. The Poisson part of the model showed that being a girl, higher levels of cybervictimization, lower levels of avoiding online risks, and more discussions about media use with teachers in classes were predictors for students reporting a higher number of bias-based cybervictimization. Implications for prevention are discussed. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01