Abstract
The worldwide spread of technology enables people to use social media widely and rapidly without any limitations. Through social media, people around the world can easily interact and communicate with each other. Social media may give positive or negative impacts depending on how an individual manages to control it. In order to find out how people control the usage of social media, significant factors that may influence social media addiction need to be defined. The purpose of this research are to determine the significant factors related to the Addictive Behaviour on Social Media and to identify the most influential factor that contributes to social media addiction. The questionnaires were distributed to students at Universiti Teknologi MARA (UiTM) Seremban Campus. Stratified sampling technique was used to select 200 sample of respondents from Faculty of Administrative Science and Policy Studies (FSPPP), Faculty of Sport Science and Recreation (FSR) and Faculty of Computer Mathematical Science (FSKM) . 81 % of the respondents were female and 19% were male. Structural Equation Modeling (SEM) was performed to generate the output in order to define the relation between independent variables which are Mobile Use, Daily Hour, Depression, Suicide Ideation and Positive Suicide Ideation with a dependent variable which is Addictive Behaviour on Social Media. It was concluded that only Depression and Daily Hour were significant factors that led to Addictive Behaviour on Social Media. Depression was found to be the most influential factor that led Addictive Behaviour on Social Media.
Metadata
Item Type: | Student Project |
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Creators: | Creators Email / ID Num. Mohd Hameze, Nur Elyana Natasha UNSPECIFIED Datu Salleh, Mahirah UNSPECIFIED Abdull Halim, Norain UNSPECIFIED |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Mohd Shafie, Siti Aishah UNSPECIFIED |
Subjects: | L Education > LG Individual institutions > Asia > Malaysia > Universiti Teknologi MARA > Negeri Sembilan Q Science > QA Mathematics > Mathematical statistics. Probabilities Q Science > QA Mathematics > Analysis Q Science > QA Mathematics > Analysis > Analytical methods used in the solution of physical problems |
Divisions: | Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus > Faculty of Computer and Mathematical Sciences |
Programme: | Bachelor of Science (Hons.) Statistics |
Keywords: | Addictive behaviour, social media, case study, Universiti Teknologi Mara, UiTM Negeri Sembilan, Seremban, Campus |
Date: | 2019 |
URI: | https://ir.uitm.edu.my/id/eprint/50024 |
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