2016
DOI: 10.19031/jkheea.2016.12.28.4.79
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Study on cyberbullying among adolescent bystanders – focusing on the empathy of middle school students -

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Cited by 4 publications
(5 citation statements)
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“…Latent profile analysis, which allows the heterogeneity of a sample to be classified into homogeneous subgroups, identified that the five profile types of adolescent bystanders to cyberbullying provided the best approximation to the data. In the present study, we used a person-centered approach to identify various types of bystander behaviors in cyberbullying, which generally paralleled those most often found in previous studies, such as contributors, defenders and passive responders (Bastiaensens et al, 2014;Ko & Choi, 2016;Song & Oh, 2018;Pöyhönen et al, 2012;Van Cleemput et al, 2014). Furthermore, our study demonstrated two additional patterns of bystander responses that had not been previously characterized, namely, limited bystanders and inconsistent bystanders, which were similar to those identified by Waasdorp and Bradshaw (2018).…”
Section: Bystander Types In Cyberbullyingsupporting
confidence: 80%
“…Latent profile analysis, which allows the heterogeneity of a sample to be classified into homogeneous subgroups, identified that the five profile types of adolescent bystanders to cyberbullying provided the best approximation to the data. In the present study, we used a person-centered approach to identify various types of bystander behaviors in cyberbullying, which generally paralleled those most often found in previous studies, such as contributors, defenders and passive responders (Bastiaensens et al, 2014;Ko & Choi, 2016;Song & Oh, 2018;Pöyhönen et al, 2012;Van Cleemput et al, 2014). Furthermore, our study demonstrated two additional patterns of bystander responses that had not been previously characterized, namely, limited bystanders and inconsistent bystanders, which were similar to those identified by Waasdorp and Bradshaw (2018).…”
Section: Bystander Types In Cyberbullyingsupporting
confidence: 80%
“…This study considered both offline bullying and cyberbullying to provide more information on how adolescents respond to bullying. The findings contribute to elucidating the patterns of roles in offline bullying and cyberbullying, unlike previous studies that examined such patterns for each bullying type separately (Goh & Lee, 2021; Ko, 2016; Salmivalli et al, 1996; Seo, 2008). This identification of profiles among adolescents also considers that behavior in bullying situations can vary, with adolescents potentially engaging in a variety of behaviors (e.g., offline bully-cyber defender) through offline and cyber contexts rather than engaging in a single role, such as the bully, victim, or defender.…”
Section: Discussionmentioning
confidence: 64%
“…To measure follower, outsider, and defender behavior, these scales were modified and supplemented by the researcher based on both Ko's (2016) scale and the scale constructed by Baker (2014). The Follower Scale (α = .91) described the behavior of encouraging the bully or delivering a message or photo if the bully took the initiative first.…”
Section: Methodsmentioning
confidence: 99%
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