[Development of a Quantitative Model on Adolescent Cyberbullying Victims in Korea: A System Dynamics Approach].

Abstract:

PURPOSE:This study used a system dynamics methodology to identify correlation and nonlinear feedback structures among factors affecting adolescent cyberbullying victims (CV) in Korea and to construct and verify a simulation model. METHODS:Factors affecting CV were identified by reviewing a theoretical background in existing literature and referencing various statistical data. Related variables were identified through content validity verification by an expert group, after which a causal loop diagram (CLD) was constructed based on the variables. A stock-flow diagram (SFD) using Vensim Professional 7.3 was used to establish a CV model. RESULTS:Based on the literature review and expert verification, 22 variables associated with CV were identified and the CLD was prepared. Next, a model was developed by converting the CLD to an SFD. The simulation results showed that the variables such as negative emotions, stress levels, high levels of conflict in schools, parental monitoring, and time spent using new media had the strongest effects on CV. The model's validity was verified using equation check, sensitivity analysis for time-step and simulation with 4 CV adolescent. CONCLUSION:The system dynamics model constructed in this study can be used to develop intervention strategies in schools that are focused on counseling that can prevent cyberbullying and assist in the victims' recovery by formulating a feedback structure and capturing the dynamic changes observed in CV. To prevent cyberbullying, it is necessary to develop more effective strategies such as prevention education, counseling and treatment that considers factors pertaining to the individual, family, school, and media.

journal_name

J Korean Acad Nurs

authors

You MJ,Ham EM

doi

10.4040/jkan.2019.49.4.398

subject

Has Abstract

pub_date

2019-08-01 00:00:00

pages

398-410

issue

4

eissn

2005-3673

issn

2093-758X

pii

49.398

journal_volume

49

pub_type

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