The article I chose relates to three discussed social science principles. The first is victim precipitation, which relates to the article because it suggests that victim behaviors, such as the increased usage of social media worldwide, are what caused the increase in cyberbullying incidents (Al-Badayneh 2024). The second principle, empiricism, relates to the article because the authors use questionnaires and different scales to determine the impact of cyberbullying on youth cyberbullicide ideation, and analyzed that data, rather than relying on opinions or hunches to frame their research (Al-Badayneh 2024). And if I am not mistaken, I believe objectivity relates to this article because the authors are examining all walks of Jordanian student life as they sample a random 1000 students which were to represent all 12 Jordanian governorates, and they draw their conclusions from the data that they gathered and did not let their opinions shape their research conclusions (Al-Badayneh 2024).
Essentially this article exists to investigate the impact that cyberbullying has on cyberbullicide ideation in a sample amount of 1000 Jordanian college students (Al-Badayneh 2024). The authors are investigating the health risks that coincide with cyberbullying by asking Jordanian students about their negative experiences that take place when they are online (Al-Badayneh 2024). They want to help the university educators and administration create conditions to prevent discriminatory cyberbullying, as well as provide knowledge to help form cyberbullying prevention, law enforcement, and policies (Al-Badayneh 2024).
The types of research methods used include surveying via questionnaires and making sure random sampling was conducted for the students that were selected for the study (Al-Badayneh 2024). As described by the article, the type of analysis used include descriptive statistical analysis and logistic regression analysis. According to my own research, descriptive statistics involve summarizing, organizing, and then presenting data in a concise and meaningful manner (Kumar 2024). Logistic regression analysis is an analysis technique that utilizes mathematics to search for relationships between two data factors (Amazon 2024).
This topic does not explicitly address challenges, concerns, or contributions of marginalized groups. If it had investigated a specific branch of students such as LGBTQ+ youth or those of a specific race that were known to be marginalized by the Jordanian community then that would apply. It addresses the impact on youth from a diverse and random sample of students, from many different colleges and levels (Al-Badayneh 2024).
The contribution of the study to the Jordanian society is that it highlights how prevalent cyberbullicide ideation is in the collegiate world (Al-Badayneh 2024). The information tells that students are needing tools and prevention strategies to address this type of behavior and that parents, students, and the population in general need increased awareness of cyberbullying (Al-Badayneh 2024). The study pushes for policy development to help combat cyberbullying as well as educational programs to inform as well (Al-Badayneh 2024).
References
Al-Badayneh, D., Khelifa, M., & Ben Brik, A. (2024). Cyberbullying and Cyberbullicide Ideation Among Jordanian College Students. Retrieved October 2, 2024 from https://cybercrimejournal.com/menuscript/index.php/cybercrimejournal/article/view/329/98
Amazon. (2024). What is Logistical Regression? Amazon Web Services, Inc. Retrieved October 2, 2024 from https://aws.amazon.com/what-is/logistic-regression/
Kumar, A. (2024). What is Descriptive Statistics: Definition, Types, Applications, and Examples. Simplilearn Americas Inc. Retrieved October 2, 2024 from https://www.simplilearn.com/what-is-descriptive-statistics-article