Smartphone Addiction of Students: A Scale Development in the Context of Undergraduate Students in Bangkok
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Published:
Apr 9, 2018
Keywords:
Smartphone Addiction Scale Confirmatory Factor Analysis
Main Article Content
Abstract
The objective of this research was to develop a smartphone addiction scale. The sample consisted of 986 undergraduate students in Bangkok. The data was collected by using 30 item Smartphone addiction scale. Smartphone addiction scale was considered for its content validity by academic experts and its reliability was 0.94. The results of second order confirmatory factor analysis showed that smartphone addiction had 6 factors; salience, mood modification, loss of control, withdrawal, conflict, and relapse, resulting in a 24-items scale. The convergent validity and construct reliability of this scale were accepted. The average variance extracted was ranged 0.52 - 0.79 and the construct reliability was ranged 0.79 - 0.93.
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How to Cite
Chanadda Petchprayoon ช. เ., Numchai Supparerkchaisakul น. ศ., & ภัทราวิวัฒน์ ก. (2018). Smartphone Addiction of Students: A Scale Development in the Context of Undergraduate Students in Bangkok. Dusit Thani College Journal, 11(3), 325–340. Retrieved from https://so01.tci-thaijo.org/index.php/journaldtc/article/view/118686
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Academic Article
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of Psychiatric and Psychological Views. Int J Prev Med. 3 (4): 290-294.
Blanchi, A. & Phillips, J. G. (2005, February). Psychological Predictors of Problem Mobile
Phone Use. CyberPsychology & Behavior. 8(1): 39-51.
Bolle, C. (2014). “Who is a smartphone addict?” The impact of personal factors and
type of usage on smartphone addiction in a Dutch population. Netherlands:
University of Twente.
Griffiths, M. D. (1995). Technological addictions. Clinical Psychology Forum. 76 (1): 14-19.
. (2005). A ‘components’ model of addiction within a biopsychosocial
framework. Journal of Substance Use. 10 (4): 191-197.
Hair, J. F. et al. (2010). Multivariate data analysis: a global perspective. (7th ed.). Upper
Saddle River, NJ: Prentice-Hall.
Kline, R. B. (2005). Principles and Practice of Structural Equation Modeling with the SIMPLIS Command Language. 2nd ed. Chicago, IL: Scientific Software International, Inc.
Kwon, M. et al. (2013). Development and Validation of a Smartphone Addiction Scale (SAS). PLoS ONE. 8(12): 1-7.
Merlo, L. J., Stone, A. M., & Bibbey, A. (2013). Measuring Problematic Mobile Phone Use:
Development and Preliminary Psychometric Properties of the PUMP Scale. Journal
of Addiction. 2013: 1-7.
National Statistical Office. (2016). The 2016 Household Survey on the Use of Information and Communication Technology. Retrieved April, 3 2016, from
https://service.nso.go.th/nso/web/survey/surtec5-1-3.html. (in thai)
Office of Higher Education Commission. (2016). Higher Education Institution affiliated
with Higher Education Commission. Retrieved June, 1 2016, from https://www.mua.
go.th/ohec/Department.html. (in thai)
Phachongchit Phapoom. (2003). Computer/Internet Addiction: Prevention and Intervention.
Journal of Mental Health of Thailand. 11(1): 42-54. (in thai)
Rovinelli, R. J. & Hambleton, R. K. (1976). On the Use of Content Specialists in the
Assessment of Criterion-Referenced Test Item Validity. Retrieved April, 2 2016, from https://files.eric.ed.gov/fulltext/ED121845.pdf
Salehan, M. & Negahban, A. (2013). Social networking on smartphone: When mobile
phone become addictive. Computers in Human Behavior. 29: 2632-2639.
Schumacker, R. E. & Lomax, R. G. (2010). A Beginner’s Guide to Structural Equation
Modeling. 3rd ed. New York: Taylor and Francis Group, LLC.
Suwimol Tirakanan. (2008). Creating a Variable Measurement Tool in Social Science
Research: A Practical Guide. 2nd ed. Bangkok: Chulalongkorn University Press.
Sucheera Phattharayuttawat. (2002). Manual of Psychological Testing. Bangkok: Medical Media.
Walsh, S. P., White, K. M., & Young, R. M. (2008). Over-connected? A qualitative exploration
of the relationship between Australian youth and their mobile phones. Journal of
Adolescence. 31(1): 77-92.
. (2010). Needing to Connect: The Effect of Self
and Others on Young People’s Involvement with their Mobile Phones. Australian
Journal of Psychology. 62(4): 194-203.
Young, K. S. (1999). Internet addiction: Symptoms, Evaluation, And Treatment. Innovations
in Clinical Practice. Retrieved January 10, 2015, from https://netaddiction.com/
articles/symptoms.pdf