Factors in cyber bullying: the attitude-social influence-efficacy model

Yi-Chih Lee et al · Servicio de Publicaciones de la Universidad de Murcia · 2018

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Autore / responsabile

Yi-Chih Lee et al

Editore

Servicio de Publicaciones de la Universidad de Murcia

Anno

2018

ISSN

0212-9728

ISSN

0212-9728

Lingua

Inglés

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Abstract This study examines the correlation between risk perception, knowledge, social influence, self-efficacy, and cyber bullying behavior from the perspective of the attitude-social influence-efficacy model. The samples in this survey are adolescents who have had cyber bullying behavior or have witnessed their peers’ cyber bullying behavior. The results showed that attitude towards cyber bullying affected cyber bullying intention, and that intention also influenced cyber bullying behavior. Social influence also had an impact on cyber bullying intention and cyber bullying behavior. In fact, intention was a mediator between attitude and behavior, as well as between social influence and behavior.

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APA 7

al, Y. C. L. E. (2018). Factors in cyber bullying: the attitude-social influence-efficacy model. https://doi.org/10.6018/analesps.34.2.295411

MLA

al, Yi-Chih Lee et. "Factors in cyber bullying: the attitude-social influence-efficacy model." 2018. https://doi.org/10.6018/analesps.34.2.295411.

Chicago

al, Yi-Chih Lee et. 2018. "Factors in cyber bullying: the attitude-social influence-efficacy model.". https://doi.org/10.6018/analesps.34.2.295411.

Harvard

al, Y. C. L. E. 2018, Factors in cyber bullying: the attitude-social influence-efficacy model, Servicio de Publicaciones de la Universidad de Murcia, available at: https://doi.org/10.6018/analesps.34.2.295411 [Accessed 5 Aug. 2026].

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Titolo: Factors in cyber bullying: the attitude-social influence-efficacy model

Autore / collaboratori: Yi-Chih Lee et al

Editore: Servicio de Publicaciones de la Universidad de Murcia

Anno di pubblicazione: 2018

ISSN: 0212-9728

ISSN: 0212-9728

Lingua: Inglés

Soggetti

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Cyber bullying; Attitude-social influence-efficacy model; Risk perception