Cyberbullying attitude, intention and behaviour among Malaysian tertiary students - A two stage SEM- ANN approach
Document Type
Article
Publication Date
4-1-2024
Abstract
This study explores the factors affecting cyberbullying behaviour through their attitudes and intentions based on a model developed using Social Cognitive Theory and the Theory of Planned Behaviour. Results from a survey of 428 Malaysian tertiary students were analysed using a two-step Structural Equation Modeling (SEM) -Artificial Neural Networks (ANN) approach. The SEM findings indicate that the intention to engage in cyberbullying is the most influential factor in cyberbullying behaviour, shaped by factors such as image (0.492), moral disengagement (0.211), perceived behavioural control (-0.141), university climate (-0.097), subjective norms (0.662), peer to peer relationships (0.108) and attitude (0.235) towards cyberbullying. The ANN results show that image is the biggest predictor (36.35%) of cyberbullying intention, followed by moral disengagement, cyberbullying attitude, PBC, and university climate. These insights provide a deeper understanding of the underlying factors behind cyberbullying among Malaysian tertiary students and offer guidance for reducing cyberbullying in the country.
Keywords
Human-computer interface, Social Media, Adult learning, Evaluation methodologies, Tertiary students, Cultural and social implications
Divisions
fsktm
Funders
Universiti Tunku Abdul Rahman,Ministry of Higher Education, Malaysia [Grant No: FRGS/1/2019/SS05/UTAR/02/2]
Publication Title
Education and Information Technologies
Volume
29
Issue
5
Publisher
Springer
Publisher Location
ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES