Romanian Version of the Internet Addiction Test: Psychometric Properties and Cross-Gender Invariance

  • Otilia Ioana Tudorel
  • Mona VintilăEmail author
  • Luiza Vlaicu
  • Dănuț Bălăuță
  • Cosmin Goian
  • Andrei Rusu
Original Article


Nowadays, excessive use of the Internet and addiction to it became constant concerns among researchers. The proliferation of this research stream came along with a constant need for valid operationalizations. Our study aimed to test the psychometric properties of the Internet Addiction Test (IAT) on a Romanian sample (n = 421 students). Exploratory factor analysis revealed a two-factor solution: Mental Disorder (α = .78); Time Management Disorder (α = .79). Also, the overall IAT had good reliability (α = .86). Confirmatory factor analysis supported the factorial structure and through multigroup comparisons revealed that the instrument is invariant across genders. Further proofs in support of the IAT’s validity were given by the significant associations with social anxiety, social support, and dissociation. Moreover, each scale and also the overall IAT score correlated positively with participants’ self-reported time spent online (both during a week’s working days and during weekends), and the time spent on the Facebook messenger smartphone application. The study showed that the Romanian version of the IAT has promising psychometric properties and can be successfully used in research regarding excessive Internet use.


Internet addiction Internet Addiction Test Reliability Validity Measurement invariance 


Compliance with ethical standards

Conflict of interest

All authors declare that they have no conflicts of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.


  1. American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Arlington: American Psychiatric Association.CrossRefGoogle Scholar
  2. Barke, A., Nyenhuis, N., & Kröner-Herwig, B. (2012). The German version of the Internet Addiction Test: a validation study. Cyberpsychology, Behavior, and Social Networking, 15(10), 534–542. Scholar
  3. Bernstein, E. M., & Putnam, F. W. (1986). Development, reliability, and validity of a dissociation scale. Journal of Nervous and Mental Disease, 174(2), 727–735.CrossRefGoogle Scholar
  4. Boysan, M., Kuss, D. J., Barut, Y., Ayköse, N., Güleç, M., & Özdemir, O. (2015). Psychometric properties of the Turkish version of the Internet Addiction Test (IAT). Addictive Behaviors, 64, 247–252. Scholar
  5. Chang, M. K., & Man Law, S. P. (2008). Factor structure for Young’s Internet Addiction Test: a confirmatory study. Computers in Human Behavior, 24(6), 2597–2619. Scholar
  6. Cheng, C., & Li, A. Y. (2014). Internet addiction prevalence and quality of (real) life: a meta-analysis of 31 nations across seven world regions. Cyberpsychology, Behavior and Social Networking, 17(12), 755–760. Scholar
  7. Connor, K. M., Davidson, J. R. T., Churchill, L. E., Sherwood, A., Foa, E., & Weisler, R. (2000). Psychometric properties of the Social Phobia Inventory (SPIN). The British Journal of Psychiatry, 176(4), 379–386. Scholar
  8. Fernández-Villa, T., Molina, A. J., García-Martín, M., Llorca, J., Delgado-Rodríguez, M., & Martin, V. (2015). Validation and psychometric analysis of the Internet Addiction Test in Spanish among college students. BMC Public Health, 15(1), 953–961. Scholar
  9. Fioravanti, G., & Casale, S. (2015). Evaluation of the psychometric properties of the Italian Internet Addiction Test. Cyberpsychology, Behavior, and Social Networking, 18(2), 120–128. Scholar
  10. Gowing, L. R., Ali, R. L., Allsop, S., Marsden, J., Turf, E. E., West, R., & Witton, J. (2015). Global statistics on addictive behaviours: 2014 status report. Addiction, 110(6), 904–919. Scholar
  11. Griffiths, M. D. (2000). Internet addiction—time to be taken seriously? Addiclion Rewarch and Theory, 8(5), 413–418. Scholar
  12. Griffiths, M. D. (2010). The role of context in online gaming excess and addiction: some case study evidence. International Journal of Mental Health and Addiction, 8(1), 119–125. Scholar
  13. Guertler, D., Rumpf, H.-J., Bischof, A., Kastirke, N., Petersen, K. U., John, U., & Meyer, C. (2014). Assessment of problematic Internet use by the Compulsive Internet Use Scale and the Internet Addiction Test: a sample of problematic and pathological gamblers. European Addiction Research, 20(2), 75–81. Scholar
  14. Hawi, N. S., Blachnio, A., & Przepiorka, A. (2015). Polish validation of the Internet Addiction Test. Computers in Human Behavior, 48, 548–553. Scholar
  15. Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30(2), 179–185. Scholar
  16. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. Scholar
  17. Jelenchick, L. A., Becker, T., & Moreno, M. A. (2012). Assessing the psychometric properties of the Internet Addiction Test (IAT) in US college students. Psychiatry Research, 196(2–3), 296–301. Scholar
  18. Khazaal, Y., Billieux, J., Thorens, G., Khan, R., Louati, Y., Scarlatti, E., Theintz, F., Lederrey, J., Van Der Linden, M., & Zullino, D. (2008). French validation of the Internet Addiction Test. Cyberpsychology & Behavior, 11(6), 703–706. Scholar
  19. Korkeila, J., Kaarlas, S., Jääskeläinen, M., Vahlberg, T., & Taiminen, T. (2010). Attached to the web—harmful use of the Internet and its correlates. European Psychiatry, 25(4), 236–241. Scholar
  20. Laconi, S., Rodgers, R. F., & Chabrol, H. (2014). The measurement of Internet addiction: a critical review of existing scales and their psychometric properties. Computers in Human Behavior, 41, 190–202. Scholar
  21. Leung, L., & Lee, P. S. N. (2012). Impact of Internet literacy, Internet addiction symptoms, and Internet activities on academic performance. Social Science Computer Review, 30(4), 403–418. Scholar
  22. Lopez-Fernandez, O., Freixa-Blanxart, M., & Honrubia-Serrano, M. L. (2013). The Problematic Internet Entertainment Use Scale for adolescents: prevalence of problem Internet use in Spanish high school students. Cyberpsychology, Behavior, and Social Networking, 16(2), 108–118. Scholar
  23. Lortie, C. L., & Guitton, M. J. (2013). Internet addiction assessment tools: dimensional structure and methodological status. Addiction, 108(7), 1207–1216. Scholar
  24. Mazzoni, E., Baiocco, L., Cannata, D., & Dimas, I. (2016). Is Internet the cherry on top or a crutch? Offline social support as moderator of the outcomes of online social support on problematic Internet use. Computers in Human Behavior, 56, 369–374. Scholar
  25. Pawlikowski, M., Altstötter-Gleich, C., & Brand, M. (2013). Validation and psychometric properties of a short version of Young’s Internet Addiction Test. Computers in Human Behavior, 29(3), 1212–1223. Scholar
  26. Pontes, H. M., Kuss, D. J., & Griffiths, M. D. (2015). Clinical psychology of internet addiction: a review of its conceptualization, prevalence, neuronal processes, and implications for treatment. Neuroscience and Neuroeconomics, 4, 11–23. Scholar
  27. Tsimtsiou, Z., Haidich, A.-B., Kokkali, S., Dardavesis, T., Young, K. S., & Arvanitidou, M. (2014). Greek version of the Internet Addiction Test: a validation study. Psychiatric Quarterly, 85, 187–195. Scholar
  28. Vasiluță-Ștefanescu, M. (2015). The information technology role in the dynamics and evolution of SMEs in Timis County, Romania. Procedia Economics and Finance, 32, 1107–1113. Scholar
  29. Wang, E. S. T., & Wang, M. C. H. (2013). Social support and social interaction ties on internet addiction: integrating online and offline contexts. Cyberpsychology, Behavior, and Social Networking, 16(11), 843–849. Scholar
  30. Watters, C. A., Keefer, K. V., Kloosterman, P. H., Summerfeldt, L. J., & Parker, J. D. A. (2013). Examining the structure of the Internet Addiction Test in adolescents: a bifactor approach. Computers in Human Behavior, 29(6), 2294–2302. Scholar
  31. Weinstein, A., Dorani, D., Elhadif, R., Bukovza, Y., & Yarmulnik, A. (2015). Internet addiction is associated with social anxiety in young adults. Annals of Clinical Psychiatry, 27(1), 4–9.PubMedGoogle Scholar
  32. Widyanto, L., & McMurran, M. (2004). The psychometric properties of the Internet Addiction Test. Cyber Psychology & Behavior, 7(4), 443–450. Scholar
  33. Young, K. S. (1998). Internet addiction: The emergence of a new clinical disorder. CyberPsychology and Behavior, 1(3), 237–244. Scholar
  34. Zimet, G. D., Dahlem, N. W., Zimet, S. G., & Farley, G. K. (1988). The multidimensional scale of Perceived Social Support. Journal of Personality Assessment, 52(1), 30–41. Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of PsychologyWest University of TimisoaraTimișoaraRomania
  2. 2.Department of Social WorkWest University of TimisoaraTimișoaraRomania

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