Assessing The Psychometric Properties of The Internet Addiction Test (IAT) Among Indian School Students

Authors

  • Aarti Mishra Pt. Ravishankar Shukla University, Raipur, India
  • Priyamvada Shrivastava Pt. Ravishankar Shukla University, Raipur, India
  • Mahendra Kumar AIBAS, Amity University Chhattisgarh, Raipur, India

DOI:

https://doi.org/10.55489/njcm.140820233024

Keywords:

Reliability, Validity, Internet Addiction Test

Abstract

Background: Internet addiction is found to be a growing global problem and India is not exceptional. Adolescents are more over addicted to internet and suffering with mental confusions and deviation in behaviour. Several instruments have been developed for assessment of Internet addiction. Internet Addiction Test (IAT) is the most widely used tool to assess internet addiction, but psychometric properties of the IAT have not yet been examined in the Indian adolescence. The aim was to examine the validity and reliability of the 20-item Internet Addiction Test in Indian School Students.

Methodology: Seven hundred fifty-two students from a CBSE school of Raipur, India was randomly selected in our study. The reliability and validity of IAT was examined. Confirmatory factor analysis was used to examine the structural validity of IAT.

Results: It was found that the factor loading of the IAT varied between 0.40 and 0.82. Cronbach’s alpha coefficient for the scale was found to be 905. The total correlations were calculated and had a value range from 0.406 to 0.659 for the 20 items. The psychometric properties indicate that the factor loading reveal that the test revolve around six factors (Salience, Excessive Use, Neglected Work, Anticipation, Lack of Control, and Neglected Social Life). The Cronbach’s alpha is high for all the 6 components. IAT is a proper tool for evaluating internet addiction in Indian school students.

Conclusions: The findings obtained in this study indicate that overall, IAT has adequate psychometric properties for the assessment of internet addiction in Indian school students.

References

Goel D, Subramanyam A, Kamath R. A study on the prevalence of internet addiction and its association with psychopathology in In-dian adolescents. Indian J Psychiatry. 2013;55(2):140-3. Doi: https://doi.org/10.4103/0019-5545.111451 PMid:23825847 PMCid:PMC3696236

Kuss DJ, Griffiths MD. Online social networking and addiction-A review of the psychological literature. Int J Environ Res Public Health.2011;8:3528-52. Doi: https://doi.org/10.3390/ijerph8093528 PMid:22016701 PMCid:PMC3194102

Goldberg I. Internet Addiction 1996. [Last accessed on 2010 Mar 22]. Available from: http://web.urz.uniheidelberg.de/Netzdienste/anleitung/wwwtips/8/addict.html

Murali V, George S. Lost online: An overview of internet addiction. Adv Psychiatric Treat.2007;13:24-30. Doi: https://doi.org/10.1192/apt.bp.106.002907

Shapira NA, Lessig MC, Goldsmith TD, Szabo ST, Lazoritz M, Gold MS, Stein DJ. Problematic internet use: proposed classification and diagnostic criteria. Depress Anxiety. 2003;17(4):207-16. Doi: https://doi.org/10.1002/da.10094 PMid:12820176

Young KS. Internet addiction: The emergence of a new clinical disorder. Cyber psycho Behav.1998;1:237-44. Doi: https://doi.org/10.1089/cpb.1998.1.237

Tao R, Huang X, Wang J, Zhang H, Zhang Y, Li M. Proposed diagnostic criteria for internet addiction. Addiction. 2010;105:556-64. Doi: https://doi.org/10.1111/j.1360-0443.2009.02828.x PMid:20403001

Moreno MA, Jelenchick L, Cox E, Young H, Christakis DA. Problematic internet use among US youth: a systematic review. Arch Pedi-atrAdolesc Med. 2011;165(9):797-805. Doi: https://doi.org/10.1001/archpediatrics.2011.58 PMid:21536950 PMCid:PMC3215336

Widyanto L, Griffith MD. Internet addiction: A critical review. International Journal of Mental Health and Addiction. 2006;4:31-51. Doi: https://doi.org/10.1007/s11469-006-9009-9

Samaha AA, Fawaz M, El Yahfoufi N,Gebbawi M, Abdallah H, Baydoun SA, Ghaddar A and Eid AH. Assessing the Psychometric Proper-ties of the Internet Addiction Test (IAT) Among Lebanese College Students. Front. Public Health 6:365. Doi: https://doi.org/10.3389/fpubh.2018.00365 PMid:30619806 PMCid:PMC6305082

Frangos CC, Frangos CC, Sotiropoulos I. A Meta-analysis of the Reliability of Young's Internet Addiction Test. Proceedings of the World Congress on Engineering. 2012;I WCE: 4 - 6.

Moon SJ, Hwang JS, Kim JY, Shin AL, Bae SM, Kim JW. Psychometric Properties of the Internet Addiction Test: A Systematic Review and Meta-Analysis. Cyber psycho Behav Soc Netw. 2018;21(8):473-484. Doi: https://doi.org/10.1089/cyber.2018.0154 PMid:30110200

Kroenke K, Spitzer RL, Williams JB, Monahan PO, LöweB.Anxiety disorders in primary care: prevalence, impairment, comorbidity, and detection. Ann Intern Med. 2007;146(5):317-325. Doi: https://doi.org/10.7326/0003-4819-146-5-200703060-00004 PMid:17339617

Erdfelder E, Faul F, Buchner A, Lang, A. "Statistical power analyses using G∗Power 3.1: tests for correlation and regression anal-yses". Behavior Research Methods. 2009; 41(4): 1149-1160. Doi: https://doi.org/10.3758/BRM.41.4.1149 PMid:19897823

Young KS. Caught in the net. New York. 1998. John Wiley & Sons. [Google Scholar]

The jamovi project jamovi. 2021. (Version 2.2) [Computer Software]. Retrieved from https://www.jamovi.org.

R Core Team. R: A Language and environment for statistical computing. (Version 4.0) [Computer software]. 2021;Retrieved from https://cran.r-project.org. (R packages retrieved from MRAN snapshot:04-01.

Rosseel Y. lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software. 2012; 48(2), 1-36. Doi: https://doi.org/10.18637/jss.v048.i02

Iyengar RG, Padma G, Kumar M, Yanjana. Academic Self Concept and Academic Achievement of Indian CBSESchool Students. Natl J Community Med 2021;12(12):405-410. Doi: https://doi.org/10.5455/njcm.20211127044355

Büyüköztürk Ş, Akgün EÖ, Özkahveci Ö, Demirel F. GüdülenmeveöğrenmestratejileriölçeğininTürkçeformunungeçerlilik-vegüvenilirlikçalışması. KuramveUygulamadaEğitimBilimleri.2004;4:207-239 (Article in Turkish).

Hair FJ, Anderson ER, Tatham LR, Black CW. Multivariate Data Analysis. New Jersey: Prentice Hall, 1998.

Lonkar Y, Sharma P, Janswamy J, Sachan R, Kumar M. Development and psychometric properties of the transphobia scale among In-dian adolescents. J KepPadjadjaran. 2023;11(1):25-34. Doi: https://doi.org/10.24198/jkp.v11i1.2148

Kline BR. Principles and practice of structural equation modeling. New York: The Guilford Press, 2005.

Hu L, Bentler PM. Cut-of criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling. 1999;6: 1-55. Doi: https://doi.org/10.1080/10705519909540118

Tanaka JS, Huba GJ. A fit index for covariance structure models under arbitrary GLS estimation. British Journal of Mathematical and Statistical Psychology. 1985;38(2): 197-201. Doi: https://doi.org/10.1111/j.2044-8317.1985.tb00834.x

Bentler PM. Comparative fit indexes in structural models. Psychological Bulletin.1990;107(2): 238-46. Doi: https://doi.org/10.1037/0033-2909.107.2.238 PMid:2320703

Bollen KA. Wiley series in probability and mathematical statistics. Applied probability and statistics section. Structural equations with latent variables. John Wiley & Sons.1989;

Iyengar RG, Gouri GP, Kumar M. Psychometric Properties of the Academic Self Concept Scale among Indian CBSE School Students. Natl J Community Med. 2021;12(11):350-5. Doi: https://doi.org/10.5455/njcm.20211016025414

Kumar M, Mishra GJ, Saxena S, Singh V, Kumar M, Yanjana. Predicting effect of personality traits and age on emotional intelligence. In-dian Journal of Public Health Research & Development. 2020;11(3): 764-769.

Shrivastava P, Mishra GJ, Kumar M. Factors of happiness among Indian adolescents. Indian Journal of Public Health Research & De-velopment. 2020;11(1): 490-495. Doi: https://doi.org/10.37506/v11/i1/2020/ijphrd/193869

Kumar M, Shrivastava P. Parent child relationship and demographic predictors of intelligence of school going students. Journal of Indian academy of applied psychology. 2019; 45(1): 9-15.

Widyanto L, McMurran M. The psychometric properties of the Internet addiction test. Cyber psycho Behav. 2004;7:443-50. Doi: https://doi.org/10.1089/cpb.2004.7.443 PMid:15331031

Widyanto L, Griffiths MD, Brunsden V. A psychometric comparison of the Internet Addiction Test, the Internet-Related Problem Scale, and self-diagnosis. Cyber psycho Behav Soc Netw. 2011;14:141-9. Doi: https://doi.org/10.1089/cyber.2010.0151 PMid:21067282

Jelenchick LA, Becker T, Moreno MA. Assessing the psychometric properties of the Internet Addiction Test (IAT) in US college stu-dents. Psychiatry Res. 2012; 196:296-301. Doi: https://doi.org/10.1016/j.psychres.2011.09.007 PMid:22386568 PMCid:PMC3361600

Khazaal Y, Billieux J, Thorens G, Khan R, Louati Y, Scarlatti E, Theintz F, Lederrey J, Van Der Linden M, Zullino D. French validation of the internet addiction test. Cyber psychol Behav. 2008;11(6):703-6. Doi: https://doi.org/10.1089/cpb.2007.0249 PMid:18954279

Ferraro G, Caci B, D'Amico A, Di Blasi M. Internet addiction disorder: an Italian study. Cyber psycho Behav. 2007;10:170-5. Doi: https://doi.org/10.1089/cpb.2006.9972 PMid:17474832

Korkeila J, Kaarlas S, Jaaskelainen M, Vahlberg T, Taiminen T. Attached to the web - harmful use of the Internet and its correlates. Eur Psychiatry. 2010; 25:236-41. Doi: https://doi.org/10.1016/j.eurpsy.2009.02.008 PMid:19556111

Kim K, Ryu E, Chon MY, Yeun EJ, Choi SY, Seo JS, et al. Internet addiction in Korean adolescents and its relation to depression and sui-cidal ideation: a questionnaire survey. Int J Nurs Stud. 2006;43:185-92. Doi: https://doi.org/10.1016/j.ijnurstu.2005.02.005 PMid:16427966

Guan NC, Isa SM, Hashim AH, Pillai SK, Harbajan Singh MK. Validity of the Malay version of the Internet Addiction Test: a study on a group of medical students in Malaysia. Asia Pac J Public Health. 2015;27:NP2210-2219. Doi: https://doi.org/10.1177/1010539512447808 PMid:22652253

Chang MK, Law SPM. Factor structure for Young's Internet Addiction Test: a confirmatory study. Comput. Human Behav. 2008;24:2597-619. Doi: https://doi.org/10.1016/j.chb.2008.03.001

Ariyadasa G, Chithramalee De Silva, Gamagedara N, Ambagahawita A. 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. Am. J. Interdis-cip. Res. Innov. 2022;1(3):24-33. Doi: https://doi.org/10.54536/ajiri.v1i3.864

Downloads

Published

2023-08-01

How to Cite

1.
Mishra A, Shrivastava P, Kumar M. Assessing The Psychometric Properties of The Internet Addiction Test (IAT) Among Indian School Students. Natl J Community Med [Internet]. 2023 Aug. 1 [cited 2024 Nov. 23];14(08):485-90. Available from: https://njcmindia.com/index.php/file/article/view/3024

Issue

Section

Original Research Articles