Adaptation, Translation, and Validation of Internet Addiction Test (IAT) to Detect Internet Addiction Disorder among 15-19-Year-Old Adolescents in Colombo District, Sri Lanka

Authors

  • Gayan Ariyadasa Community Medicine-Ministry of Health, Srilanka
  • Chithramalee De Silva Maternal and Child Health-Sri Lanka
  • Nimalshantha Gamagedara Maternal and Child Health, Sri Lanka
  • Anjana Ambagahawita Maternal and Child Health, Sri Lanka

DOI:

https://doi.org/10.54536/ajiri.v1i3.864

Keywords:

Internet Addiction, Adolescents, Validation, The Prevalence of Internet Addiction, School-Based, Sri Lanka

Abstract

Over the years, the Internet and information technology have become a crucial part of the day-to-day activities of modern human lives. Meanwhile, there is a rising concern regarding those who are excessively using technology which can lead to Internet addiction. This may eventually result in marked distress and functional impairments of the general life of youth such as academic performance, social interaction, future occupational interest, and behavioral problems. Nonetheless, the condition is widespread and problematic, limited scientific evidence is available on the diagnosis of Internet Addiction Disorder globally as well as locally. The objective of this study was to adapt, translate and validate an instrument (Internet Addiction Test) to assess Internet addiction disorder to the Tamil Language among 15-19-year-old adolescents in Colombo district. Internet Addiction Test (IAT) developed by Young (1998) was adapted, translated, and validated into Tamil language resulting IAT-Tamil version by conducting a descriptive cross-sectional validation study. The developed tool was intended to assess Internet addiction disorder among 15-19-year-old adolescents in Colombo district. Statistical analysis was carried out to test the construct validity with a sample of 225 and a sample of 240 for the Confirmatory Factor Analysis. The statistical analysis was carried out by using SPSS-21 (Principal Component Analysis) and LISREL 8.8 (Confirmatory Factor Analysis). The reliability was assessed by internal consistency and test-retest reliability methods. The IAT-Tamil version demonstrated a three-factor model with 20 items and the model indices were RMSEA=0.07, CFI=0.91, NNFI=0.87, and SRMR=0.066. It also demonstrated excellent levels of reliability with a Cronbach alpha value of 0.948. The IAT-Tamil version was a valid and reliable tool to assess Internet addiction disorder among 15-19-year-old school-going adolescents in Sri Lanka. The validated IAT-Tamil version is recommended to use in future local studies and to aid the policymakers and the administrators in the prevention, diagnosis, and management of Internet addiction disorder among this age group.

Downloads

Download data is not yet available.

References

Abramson, J. H. Abramson and Z. H. (1999). Research Methods in Community Medicine: Surveys, Epidemiological Research, Programme Evaluation, Clinical Trials.

Beard, Keith W. (2005). Techniques and Potential Assessment Questions. CyberPsychology & Behavior 8(1), 7–15.

Cash, Hilarie, Cosette D. Rae, Ann H. Steel, and Alexander Winkler. (2012a). Internet Addiction A Brief Summary of Research and Practice-Cash et Al(2012).Pdf. Current Psychiatry, 800, 292–98.

Cattell. (1966). Exploratory Factor Analysis: A Guide to Best Practice.

Černja, Iva, Lucija Vejmelka, and Miroslav Rajter. (2019). Internet Addiction Test: Croatian Preliminary Study. BMC Psychiatry 19(1), 1–11.

Dalal, P. K., and Debasish Basu. (2016). Twenty Years of Internet Addiction...Quo Vadis? Indian Journal of Psychiatry, 58(1), 6–11.

Demetrovics, Zsolt, Beatrix Szeredi, and Sándor Rózsa. (2008). The Three-Factor Model of Internet Addiction: The Development of the Problematic Internet Use Questionnaire. Behavior Research Methods 40(2), 563–74.

Dhir, Amandeep, Sufen Chen, and Marko Nieminen. (2015). Psychometric Validation of Internet Addiction Test with Indian Adolescents. Journal of Educational Computing Research, 53(1), 15–31.

Fernández-Villa, Tania, Antonio J. Molina, Miguel García-Martín, Javier Llorca, Miguel Delgado-Rodríguez, and Vicente Martín. (2015). Validation and Psychometric Analysis of the Internet Addiction Test in Spanish among College Students. BMC Public Health 15(1),1–9.

Fernando, K. D. Nathalia. (2015). A study of face book addiction level among teenage school students in Sri Lanka(in Negambo educational Zone).

Griffiths, M. D., Daria, J. K., Joël, B., & Halley, M. P. (2016). The Evolution of Internet Addiction: A Global Perspective. Addictive Behaviors, 53, 193–195.

Kaya, Fatih, Erhan Delen, and Kimberly S. Young. (2016). Psychometric Properties of the Internet Addiction Test in Turkish. Journal of Behavioral Addictions 5(1), 130–34.

Ko, Chih Hung, Ju Yu Yen, Cheng Fang Yen, Cheng Chung Chen, Chia Nan Yen, and Sue Huei Chen. (2005). Screening for Internet Addiction: An Empirical Study on Cut-off Points for the Chen Internet Addiction Scale. Kaohsiung Journal of Medical Sciences 21(12), 545–51.

Li, Shanshan, Qianjin Wu, Cheng Tang, Zichao Chen, and Li Liu. (2020, June 11). Exercise-Based Interventions for Internet Addiction: Neurobiological and Neuropsychological Evidence. Frontiers in Psychology.

Osborne, Jason W., and Anna B. Costello. (2004). Sample Size and Subject to Item Ratio in Principal Components Analysis. Practical Assessment, Research and Evaluation 9(11).

Perera. (2017). Modern Information and Communication Technology Behaviour among Young Information and Communication Technology Users in Gampaha District.

Ruano, Paula, Lismet Lazo Delgado, Sergio Picco, Liliana Villegas, Franco Tonelli, Mario Merlo, Javier Rigau, Dario Diaz, and Martin Masuelli. (2016). We Are IntechOpen , the World’s Leading Publisher of Open Access Books Built by Scientists , for Scientists TOP 1%. Intech (tourism), 13.

Salicetia, Francesca. (2015). Internet Addiction Disorder (IAD). Procedia-Social and Behavioral Sciences 191, 1372–76.

Shaw, M., & Donald, W. B. (2008). Internet Addiction and Clinical Management. CNS Drugs, 22(5), 353–366.

Tsitsika, A., Mari, J., Tim, M. S., Eleni, C. T., Kjartan, Ó., Szymon, W., George, F. M., Chara, T., & Clive R. (2014). Internet Addictive Behavior in Adolescence: A Cross-Sectional Study in Seven European Countries. Cyberpsychology, Behavior, and Social Networking, 17(8), 528–535.

Vondráčková, Petra, and Roman Gabrhelík. (2016). Prevention of Internet Addiction: A Systematic Review. Journal of Behavioral Addictions 5(4), 568-79.

Widyanto, Laura, and Mary McMurran. (2004). The Psychometric Properties of the Internet Addiction Test. Cyberpsychology and Behavior, 7(4), 443–50.

Young, K. S. (1998). Internet Addiction: The Emergence of a New Clinical Disorder. Cyberpsychology and Behavior, 1(3), 237–244.

Young, K. S. (2009). Internet Addiction Test Online. Stoelting, 4–11.

Young, K. S. (2017). The Evolution of Internet Addiction. Addictive Behaviors, 64, 229–230.

Downloads

Published

2022-11-25

How to Cite

Ariyadasa, G., Chithramalee De Silva, Gamagedara, N., & Ambagahawita, A. (2022). Adaptation, Translation, and Validation of Internet Addiction Test (IAT) to Detect Internet Addiction Disorder among 15-19-Year-Old Adolescents in Colombo District, Sri Lanka. American Journal of Interdisciplinary Research and Innovation, 1(3), 24–33. https://doi.org/10.54536/ajiri.v1i3.864

Most read articles by the same author(s)