Prevalence and Correlates between Internet Use Behavior and Social Skill among University Students in Thailand
DOI:
https://doi.org/10.61841/q1g5pd61Keywords:
Internet Use Behavior, Social Skill, University Students.Abstract
This research has the objective for studying the relationship between the behavior of using the internet with the social skill of the university student. By this will use the quantitative studying method which will gather the information from the sample such as; 500 of 1st year students who have lived in the dormitory of Chiang Mai University. Using tools will be the basic questionnaire of the sample, the evaluating form of using the internet and the evaluating form of the social skill, Standard Deviation and the analysis with inferential statistic. By this will use Pearson’ Product Moment Correlation Coefficient, the studied result is found that most of the sample will have addicted to the internet usage in a few level. And most of them will have the social skill in the moderate level. For the sample who haven’t addicted to the internet usage, most of them will have the high social skill level. For the sample who have addicted to the internet usage in a few level, the moderate level and the severe level, most of them will have the moderate social skill. In order that, from testing of Pearson’ Product Moment Correlation Coefficient between the behavior of using the internet with the social skill, this is found that; (1) The behavior of using the internet with the social skill will have the negative relationship in a few level. The correlation coefficient value will be equal to -.320. By this will have the statistical significance at the level of 0.01. (2) The behavior of using the internet with the social skill in the capacity in the communication and the interaction will have the negative relationship in a few level. This will have the correlation coefficient value that is equal to -.234. By this will have the statistical significance at the level of 0.01. and (3) The behavior of using the internet with the social skill in the capacity in working as the group will have the negative relationship in a few level. This will have the correlation coefficient value that is equal to -.289. By this will have the statistical significance at the level of 0.01.
Downloads
References
1. Kaewkangwan S. Lifespan human development psychology: Adolescents - Elderly. Bangkok.: Thammasat University Press.; 2010.
2. Ahn D. Korean policy on treatment and rehabilitation for adolescents’ Internet. International Symposium on the Counseling and Treatment of Youth Internet Addiction; Seoul, National Youth Commission2007. p. 49.
3. Cao F, Su L. Internet addiction among Chinese adolescents: prevalence and psychological features. 2007;33(3):275-81.
4. Charoenwanit S, Sumneangsanor T. Predictors of Game Addiction in Children and Adolescents. Thammasat Review. 2014;17(1):150-66.
5. Hale L, Kirschen GW, LeBourgeois MK, Gradisar M, Garrison MM, Montgomery-Downs H, et al. Youth Screen Media Habits and Sleep: Sleep-Friendly Screen Behavior Recommendations for Clinicians, Educators, and Parents. Child and adolescent psychiatric clinics of North America. 2018;27(2):229-45.
6. Koo HJ, Kwon JH. Risk and protective factors of internet addiction: a meta-analysis of empirical studies in Korea. Yonsei medical journal. 2014;55(6):1691-711.
7. Lee H, Kim JW, Choi TY. Risk Factors for Smartphone Addiction in Korean Adolescents: Smartphone Use Patterns. Journal of Korean medical science. 2017;32(10):1674-9.
8. AJ VANR, Kuss DJ, Griffiths MD, Shorter GW, Schoenmakers MT, D VDM. The (co-)occurrence of problematic video gaming, substance use, and psychosocial problems in adolescents. Journal of behavioral addictions. 2014;3(3):157-65.
9. Brand M, Laier C, Young KS. Internet addiction: coping styles, expectancies, and treatment implications. Frontiers in psychology. 2014;5:1256.
10. Rattanapun. C. Social Skill 2014. [Available from: http://jareeluk.blogspot.com/2014/09/blog- post_27.html. .
11. Charles H. Christiansen CMB. Occupational Therapy: performance, participation, and well-being. . ed. r, editor. Thorofare, NJ: SLACK Incorporated.; 2005.
12. Block JJ. Issues for DSM-V: internet addiction. The American journal of psychiatry. 2008;165(3):306-7.
13. Anand N, Jain PA, Prabhu S, Thomas C, Bhat A, Prathyusha PV, et al. Internet Use Patterns, Internet Addiction, and Psychological Distress Among Engineering University Students: A Study from India. Indian journal of psychological medicine. 2018;40(5):458-67.
14. China, India now world’s largest Internet markets [Internet]. 2016 [cited
]. Available from: https://www.itu.int/en/mediacentre/Pages/2016-PR35.aspx.
15. Young K. Internet addiction over the decade: a personal look back. World psychiatry : official journal of the World Psychiatric Association (WPA). 2010;9(2):91.
16. Young K. Understanding online gaming addiction and treatment issues for adolescents. American Journal of Family Therapy. 2009;37(5):355-72.
17. Young KS. The evolution of Internet addiction. Addictive behaviors. 2017;64:229-30.
18. Young KS. Internet addiction: The emergence of a new clinical disorder. CyberPsychology & Behavior. 1998;1(3):237-44.
19. Young KS. Internet addiction: Symptoms, evaluation, and treatment innovations in clinical practice FL: Professional Resource Press.; 1999.
20. Internet Addiction Test (IAT) [Internet]. 1998 [cited September 20, 2020.]. Available from: http://netaddiction.com/internet-addiction-test/.
21. Suriyayothin. J. The effect of coullaborative learning activities provision via internet by using reflective writing through social media on social skills of high school students. Bangkok: Silpakorn University 2011.
22. Anand N, Thomas C, Jain PA, Bhat A, Thomas C, Prathyusha PV, et al. Internet use behaviors, internet addiction and psychological distress among medical college students: A multi centre study from South India. Asian journal of psychiatry. 2018;37:71-7.
23. Chupradit S, Kaewmamuang N, Kienngam N, Chupradit PW. Prevalence and Correlates between Game Addiction and Stress of Adolescents in Chiang Mai, Thailand. Indian J Public Health Res Dev 2019;10:1091–6.
24. Chia DXY, Ng CWL, Kandasami G, Seow MYL, Choo CC, Chew PKH, et al. Prevalence of Internet Addiction and Gaming Disorders in Southeast Asia: A Meta-Analysis. 2020;17(7):2582.
25. Laempetch S. Bahavior and impact bahavior and impact of using social network of secondary school students in Nonthaburi province. Suthiparithat Journal. 2016;30(93):116-30.
26. Wayuphap S. Transactions Development Agency (ETDA), (Public Organization), Ministry of Digital Economy and Society report "Thailand Internet User Profile 2017" 2017 [Available from: https://www.etda.or.th/content /thailand-internet-user-profile-2017-and-value-of-e-commerce-survey-in- thailand-2017l-press-conference.html.
27. Anand N, Jain PA, Prabhu S, Thomas C, Bhat A, Prathyusha PV, et al. Prevalence of excessive internet use and its association with psychological distress among university students in South India. Industrial psychiatry journal. 2018;27(1):131-40.
28. Cha SS, Seo BK. Smartphone use and smartphone addiction in middle school students in Korea: Prevalence, social networking service, and game use. Health psychology open. 2018;5(1):2055102918755046.
29. Chen KH, Oliffe JL, Kelly MT. Internet Gaming Disorder: An Emergent Health Issue for Men. American journal of men's health. 2018;12(4):1151-9.
30. Gentile DA, Bailey K, Bavelier D, Brockmyer JF, Cash H, Coyne SM, et al. Internet Gaming Disorder in Children and Adolescents. Pediatrics. 2017;140(Suppl 2):S81-s5.
31. Jorgenson AG, Hsiao RC, Yen CF. Internet Addiction and Other Behavioral Addictions. Child and adolescent psychiatric clinics of North America. 2016;25(3):509-20.
32. Office of Information Technology Service CMU. Internet Network CMU Jumbo Plus 2018 [Available from: https://jumbo.cmu.ac.th/.
33. Buthprom C. Factors affecting Internet addiction behavior of adolescence in Bangkok: Chulalongkorn University; 2002.
34. Makasiranont T. Internet addicting behavior and factors relating to internet addictions of users in Thailand.: Chulalongkorn University; 2002
35. Kongrach P. Study of teenagers' behaviors in using social networking sites (SNSs) in Thailand : a case study of Facebook.: Thammasat University; 2011
36. Mami S, Hatami-Zad A, editors. Investigating the effect of Internet Addiction on Social Skills and in High School Students ' Achievement2014.
37. Zegarra Zamalloa CO, Cuba Fuentes MS. Frequency of Internet addiction and development of social skills in adolescents in an urban area of Lima. Medwave. 2017;17(1):e6857.
38. Ghassemzadeh L, Shahraray M, Moradi A. Prevalence of internet addiction and comparison of internet addicts and non-addicts in Iranian high schools. Cyberpsychology & behavior : the impact of the Internet, multimedia and virtual reality on behavior and society. 2008;11(6):731-3.
39. Torrente P, Orgilés, & Espada., . Association of Internet addiction with social anxiety and lack of social skills in Spanish adolescents. . Terapia Psicológica. 2014;32:175-84.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
