Siber Zorba Olan ve Olmayan Ergenlerin Yordanmasında Siber Mağduriyet, Akran Zorbalığı ve Karanlık Üçlünün Rolü

Year 2023, , 420 - 448, 13.05.2023

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

https://doi.org/10.17679/inuefd.1224522

Cited By: 1

Abstract

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 Üniversitesi’ndeki 9 fakülte ve 1 meslek yüksekokulunda öğrenim gören toplam 952 öğrenci katılmıştır. Araştırmada veri toplama araçları olarak Yenilenmiş Siber Zorbalık/Mağduriyet 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 %47’sinin siber zorbalık sürecine zorba, mağdur veya zorba/mağdur (hem zorba hem de mağdur) olarak dahil olduğu; %53’ünün siber zorbalığa dahil olmadığı saptanmıştır. Ergenlerin %30’unun siber zorba, %40’ının siber mağdur, %7’sinin sadece siber zorba, %17’sinin sadece siber mağdur, %23’ünün ise zorba/mağdur 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 %22.3’ünü 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.

Keywords

Siber zorbalık, akran zorbalığı, karanlık üçlü

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

Abstract

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 Cyberbullying/Victimization 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 bully/victim (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 bullies/victims. 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.

Keywords

Cyberbullying, peer bullying, dark triad

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