Correlation Analysis between Internet Addiction and Self-Regulation among  Thai University Students

Supat Chupradit; Tanaporn Tonghom; Priyanut Wutti Chupradit; Tippawan Sookruay

doi:10.18006/2022.10(4).846.851

Authors

Supat Chupradit Department of Occupational Therapy, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand https://orcid.org/0000-0002-8596-2991
Tanaporn Tonghom Department of Occupational Therapy, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand https://orcid.org/0000-0001-6270-9152
Priyanut Wutti Chupradit Educational Psychology and Guidance, Department of Educational Foundations and Development, Faculty of Education, Chiang Mai University, Chiang Mai 50200, Thailand https://orcid.org/0000-0003-2882-1401
Tippawan Sookruay Chiang Mai University Library, Chiang Mai University, Chiang Mai 50200, Thailand https://orcid.org/0000-0003-3138-3000

DOI:

https://doi.org/10.18006/2022.10(4).846.851

Keywords:

Internet usage behaviour, Internet addiction, Self-regulation, University students, Mental health

Abstract

The self-regulation of internet activities is a challenge between technology and human interaction, particularly in adolescents. It is very important to study the relationship between self-regulation and internet addiction since humans have become closely connected to technology in recent decades. The objective of the present research was to study the relationship between internet addiction and self-regulation by assessing the habits of university students. The samples consisted of 500 first-year students residing in Chiang Mai University dormitories, and data were collected from questionnaires regarding personal information, the Internet Addiction Test (IAT), and self-regulation assessment. Pearson’s correlation coefficient was used to investigate the relationship between internet addiction and self-regulation. The results of the study revealed that the level of internet addiction had a moderately positive relation with poor self-regulation, which had a correlation coefficient of 0.560 with a statistical significance level of 0.01. Further, the level of internet addiction had a low negative relation with good self-regulation, which had a correlation coefficient equal to -0.262 with a statistical significance level of 0.01. Hence, creating the necessary assistance and solutions is required to achieve a healthy balance in the behavior of young individuals.

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