The Role of Cyber Victimization, Peer Bullying and the Dark Triad in Predicting Cyberbully and Non-Cyberbully Adolescents

Rüstem Göktürk Haylı; Yrd. Doç. Dr.yüksel Çırak

Makale detayları

The Role of Cyber Victimization, Peer Bullying and the Dark Triad in Predicting Cyberbully and Non-Cyberbully Adolescents

Yazarlar:

Rüstem Göktürk Haylı | Yrd. Doç. Dr.yüksel Çırak

Yayıncı:

Inonu University

Dergi:

İnönü Üniversitesi Eğitim Fakültesi Dergisi Vol.24 Issue 1, pp.420-448

Belge Tipi:

Makale

Yayın Tarihi:

5/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001289713

pISSN:

1300-2899

Anahtar kelimeler:

Özet:

 The aim of this study is to determine to what extent adolescents cyber victimization, peer bullying, dark triad personality traits, risk behavior and prosocial behaviors predict cyberbully and non-cyberbully adolescents . This research is a descriptive quantitative research conducted in cross-sectional design and exploratory correlational model. A total of 952 students studying at 9 faculties and 1 vocational school at İnönü University in the 2021-2022 academic year participated in the research. Revised CyberbullyingVictimization Inventory 2, Peer Bullying Scale, Short Dark Triad Scale Turkish Form and personal information form were used as data collection tools in the study. The data of the study were analyzed by percent-frequency analysis and logistic regression analysis. As a result of the research, it was determined that 47 of the adolescents in the sample were involved in the cyberbullying process as a bully, victim or bullyvictim both bully and victim; 53 of them were not involved in cyberbullying. It was determined that 30 of the adolescents are cyberbullies, 40 are cyber victims, 7 are only cyberbullies, 17 are only cyber victims, and 23 are bulliesvictims. In the logistic regression model obtained, it was determined that there was a relationship between cyberbullying and the predictive variables in the study. It was determined that the goodness of fit of the model was sufficient and the model explained 22.5 of the variance in cyberbullying. It was determined that the model accurately classified cyberbully and non-cyberbully adolescents at the rate of 78.7, and cyber victimization, peer bullying, Machiavellianism and psychopathy made significant contributions to the prediction of cyberbully and non-cyberbully adolescents.

 The aim of this study is to determine to what extent adolescents cyber victimization, peer bullying, dark triad personality traits, risk behavior and prosocial behaviors predict cyberbully and non-cyberbully adolescents . This research is a descriptive quantitative research conducted in cross-sectional design and exploratory correlational model. A total of 952 students studying at 9 faculties and 1 vocational school at İnönü University in the 2021-2022 academic year participated in the research. Revised CyberbullyingVictimization Inventory 2, Peer Bullying Scale, Short Dark Triad Scale Turkish Form and personal information form were used as data collection tools in the study. The data of the study were analyzed by percent-frequency analysis and logistic regression analysis. As a result of the research, it was determined that 47 of the adolescents in the sample were involved in the cyberbullying process as a bully, victim or bullyvictim both bully and victim; 53 of them were not involved in cyberbullying. It was determined that 30 of the adolescents are cyberbullies, 40 are cyber victims, 7 are only cyberbullies, 17 are only cyber victims, and 23 are bulliesvictims. In the logistic regression model obtained, it was determined that there was a relationship between cyberbullying and the predictive variables in the study. It was determined that the goodness of fit of the model was sufficient and the model explained 22.5 of the variance in cyberbullying. It was determined that the model accurately classified cyberbully and non-cyberbully adolescents at the rate of 78.7, and cyber victimization, peer bullying, Machiavellianism and psychopathy made significant contributions to the prediction of cyberbully and non-cyberbully adolescents.

 The aim of this study is to determine to what extent adolescents cyber victimization, peer bullying, dark triad personality traits, risk behavior and prosocial behaviors predict cyberbully and non-cyberbully adolescents . This research is a descriptive quantitative research conducted in cross-sectional design and exploratory correlational model. A total of 952 students studying at 9 faculties and 1 vocational school at İnönü University in the 2021-2022 academic year participated in the research. Revised CyberbullyingVictimization Inventory 2, Peer Bullying Scale, Short Dark Triad Scale Turkish Form and personal information form were used as data collection tools in the study. The data of the study were analyzed by percent-frequency analysis and logistic regression analysis. As a result of the research, it was determined that 47 of the adolescents in the sample were involved in the cyberbullying process as a bully, victim or bullyvictim both bully and victim; 53 of them were not involved in cyberbullying. It was determined that 30 of the adolescents are cyberbullies, 40 are cyber victims, 7 are only cyberbullies, 17 are only cyber victims, and 23 are bulliesvictims. In the logistic regression model obtained, it was determined that there was a relationship between cyberbullying and the predictive variables in the study. It was determined that the goodness of fit of the model was sufficient and the model explained 22.5 of the variance in cyberbullying. It was determined that the model accurately classified cyberbully and non-cyberbully adolescents at the rate of 78.7, and cyber victimization, peer bullying, Machiavellianism and psychopathy made significant contributions to the prediction of cyberbully and non-cyberbully adolescents.

 Bu araştırmanın amacı ergenlerdeki siber mağduriyet, akran zorbalığı ve karanlık üçlü kişilik özelliklerinin ergenlerin siber zorba olup olmadığını ne düzeyde yordadığını belirlemektir. Bu araştırma kesitsel desende gerçekleştirilmiş betimsel bir nicel araştırma olup keşfedici korelasyonel modelde tasarlanmıştır. Araştırmaya 2021-2022 eğitim öğretim yılında İnönü Üniversitesindeki 9 fakülte ve 1 meslek yüksekokulunda öğrenim gören toplam 952 öğrenci katılmıştır. Araştırmada veri toplama araçları olarak Yenilenmiş Siber ZorbalıkMağduriyet Envanteri 2, Akran Zorbalığı Ölçeği, Kısaltılmış Karanlık Üçlü Ölçeği Türkçe Formu ve kişisel bilgi formu kullanılmıştır. Araştırmanın verileri yüzde-frekans analizi ve lojistik regresyon analizi ile incelenmiştir. Araştırma sonucunda örneklemdeki ergenlerin 47sinin siber zorbalık sürecine zorba, mağdur veya zorbamağdur hem zorba hem de mağdur olarak dahil olduğu; 53ünün siber zorbalığa dahil olmadığı saptanmıştır. Ergenlerin 30unun siber zorba, 40ının siber mağdur, 7sinin sadece siber zorba, 17sinin sadece siber mağdur, 23ünün ise zorbamağdur olduğu belirlenmiştir. Elde edilen lojistik regresyon modelinde siber zorbalık ile araştırmada ele alınan yordayıcı değişkenler arasında ilişki olduğu, modelin uyum iyiliğinin yeterli düzeyde olduğu ve siber zorbalıktaki varyansın 22.3ünü açıkladığı tespit edilmiştir. Elde edilen modelin siber zorba olan ve olmayan ergenleri 78.7 oranında doğru sınıflandırdığı bulunmuş; modeldeki yordayıcı değişkenlerden siber mağduriyet, akran zorbalığı, Makyavelizm ve psikopatinin siber zorba olan ve olmayan ergenlerin yordanmasına anlamlı katkılar sağladığı belirlenmiştir.

Makale detayları

The Role of Cyber Victimization, Peer Bullying and the Dark Triad in Predicting Cyberbully and Non-Cyberbully Adolescents

Yazarlar:

Rüstem Göktürk Haylı | Yrd. Doç. Dr.yüksel Çırak

Yayıncı:

Inonu University

Dergi:

İnönü Üniversitesi Eğitim Fakültesi Dergisi Vol.24 Issue 1, pp.420-448

Belge Tipi:

Makale

Yayın Tarihi:

5/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001289713

pISSN:

1300-2899

Cyberbullying

peer bullying

dark triadSiber zorbalık

akran zorbalığı

karanlık üçlü

Sayı

Makale detayları

The Role of Cyber Victimization, Peer Bullying and the Dark Triad in Predicting Cyberbully and Non-Cyberbully Adolescents

Yazarlar: Rüstem Göktürk Haylı | Yrd. Doç. Dr.yüksel Çırak

Yayıncı: Inonu University

Dergi: İnönü Üniversitesi Eğitim Fakültesi Dergisi Vol.24 Issue 1, pp.420-448

Belge Tipi: Makale

Yayın Tarihi: 5/2023

Belge Dili: Türkçe

Document ID (Org No.): 2001289713

pISSN: 1300-2899

Cyberbullying

peer bullying

dark triadSiber zorbalık

akran zorbalığı

karanlık üçlü

Sayı

Yazarlar:

Rüstem Göktürk Haylı | Yrd. Doç. Dr.yüksel Çırak

Yayıncı:

Inonu University

Dergi:

İnönü Üniversitesi Eğitim Fakültesi Dergisi Vol.24 Issue 1, pp.420-448

Belge Tipi:

Makale

Yayın Tarihi:

5/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001289713

pISSN:

1300-2899