Confirmatory factor analysis of the internet addiction test in university students

Authors

  • Manuela de Mendonça Figueirêdo Coelho Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil. https://orcid.org/0000-0001-6182-9486
    • Viviane Mamede Vasconcelos Cavalcante Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.
      • Tifanny Horta Castro Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil. 
        • Mônica Oliveira Batista Oriá Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.
          • Eveline Pinheiro Beserra Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.
            • Fabiane do Amaral Gubert Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil. https://orcid.org/0000-0003-3016-9619
              • Mariana Cavalcante Martins Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil. https://orcid.org/0000-0001-8234-8980
                • Marília Braga Marques Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.
                  • Paula Sacha Frota Nogueira Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.
                    • Janaína Fonseca Victor Coutinho Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil. https://orcid.org/0000-0001-7451-0132
                      • Rachel Gabriel Bastos Barbosa Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.

                        DOI:

                        https://doi.org/10.15649/cuidarte.4593

                        Keywords:

                        Factor Analysis, Internet Addiction, Students, Psychiatric Nursing, Mental Health

                        Abstract

                        Highlights

                        • The internal consistency of the Internet Addiction Test IAT was deemed adequate.
                        • A significant and strong correlation was observed between the salience and excessive use factors, as well as between excessive use and lack of control.
                        • Confirmatory factor analysis of the IAT among university students supported a six-factor structure in the Brazilian version of the instrument.
                        • Psychiatric nursing is encouraged to perform cross-cultural and psychometric validation of the IAT worldwide.

                        Introduction: The Internet Addiction Test is a psychometric instrument designed to assess and quantify the severity of internet addiction and explore aspects of internet misuse.  Objective: To confirm the factorial validity of the Internet Addiction Test in a sample of university students. Materials and Methods: A methodological study was conducted with 5,292 Brazilian university students. The data underwent confirmatory factor analysis and internal consistency assessment. Results: The Kaiser-Meyer-Olkin test yielded a value of 0.946, indicating that the sample was adequate. Factor analysis confirmed the existence of factors that fully align with the original American scale. The model showed satisfactory fit indices, including a Comparative Fit Index of 0.978, Tucker-Lewis Index of 0.976, Standardized Root Mean Residual of 0.053, and Root Mean Square Error of Approximation of 0.054 [0.052–0.056], which are consistent with previously established satisfactory fit criteria. Factor loadings of the items were considered high, ranging from 0.43 (item I7) to 0.89 (item I17). Discussion: The Internet Addiction Test’s six-factor structure was validated, which is identical to that proposed by the original American version and was consistent with other studies that have also identified the same multifactorial structure of the original instrument. Therefore, psychiatric nurses can confidently use it when caring for young university students.  Conclusion: The Internet Addiction Test is a valid and reliable instrument for measuring internet addiction among university students and can be used by mental health nurses to identify such issues.

                        How to cite this article: Coelho, Manuela de Mendonça Figueirêdo; Cavalcante, Viviane Mamede Vasconcelos; Castro, Tiffany Horta; Oriá, Mônica Oliveira Batista; Beserra, Eveline Pinheiro; Gubert, Fabiane do Amaral; Martins, Mariana Cavalcante; Marques, Marília Braga; Nogueira, Paula Sacha Frota; Coutinho, Janaína Fonseca Victor; Barbosa, Rachel Gabriel Bastos. Confirmatory factor analysis of the internet addiction test in university students. Revista Cuidarte. 2025;16(2):e4593.  https://doi.org/10.15649/cuidarte.4593

                        Author Biographies

                        • Manuela de Mendonça Figueirêdo Coelho, Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.

                          Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.

                        • Viviane Mamede Vasconcelos Cavalcante, Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.

                          Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.

                        • Tifanny Horta Castro, Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil. 

                          Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil. 

                        • Mônica Oliveira Batista Oriá, Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.

                          Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.

                        • Eveline Pinheiro Beserra, Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.

                          Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.

                        • Fabiane do Amaral Gubert, Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.

                          Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.

                        • Mariana Cavalcante Martins, Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.

                          Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.

                        • Marília Braga Marques, Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.

                          Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.

                        • Paula Sacha Frota Nogueira, Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.

                          Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.

                        • Janaína Fonseca Victor Coutinho, Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.

                          Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.

                        • Rachel Gabriel Bastos Barbosa, Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.

                          Professor at the Federal University of Ceará, UFC. Fortaleza, Ceará, Brazil.

                        References

                        Martins MC, Coelho M de MF, Oliveira DT de, Almeida PC de, Cavalcante VMV, Lima LR de F, et al. Anxiety among undergraduate Nursing students with mandatory curricular internship during the COVID-19 pandemic. Rev Rene. 2022;23:e81055. https://doi.org/10.15253/2175-6783.20222381055

                        Ruiz JPG, Muñoz FC, Buenaño MAF, Hernández ALG, Cortés JJL, Mondragón JLQ, et al. Relationship between psychoactive substance, alcohol and cigarette use in nursing students. A cross-sectional study. Rev Colomb Psiquiatr. 2024;53(1):73–84. https://doi.org/10.1016/j.rcpeng.2021.11.006

                        Graça JMB, Silva Filho JA, Costa TS, Camboim FEF, Rivera GA, Oliveira SX. Anxiety, sleep quality and daytime sleepiness in nursing students at a private institution. Rev Ciênc Plural. 2024;10(1):1–13. https://doi.org/10.21680/2446-7286.2024v10n1ID34483

                        Mendola M, Masi F, Castiglione R, Soriano A, Zazou S, Tonelli F, et al. Mental disorders among healthcare students attending a large university hospital in Milan, Italy. Med Lav. 2024;115(2):e2024009. https://doi.org/10.23749/mdl.v115i2.15168

                        Nadarajan S, Hengudomsub P, Wacharasin C. The role of academic procrastination on Internet addiction among Thai university students: A cross-sectional study. Belitung Nursing Journal. 2023;9(4):384–90. https://doi.org/10.33546/bnj.2755

                        Ismail A. The relationship between internet addiction and stress, anxiety, and depression in adolescents in Saudi Arabia. Journal of pediatric nursing, 2024;77:111–116. https://doi.org/10.1016/j.pedn.2024.03.007

                        Liu Y, Liu J, Wang W. The effect of future time perspective on Internet dependence among college students in pandemic time: A moderated mediation analysis. Psychol Res Behav Manag. 2023;16:509–20. https://doi.org/10.2147/PRBM.S396622

                        Young, K. S. (1998). Caught in the Net: how to recognize the sings of internet addiction and winning strategy for recovery (1an ed.). New York: Wiley.

                        Conti MA, Jardim AP, Hearst N, Cordás TA, Tavares H, Abreu CN de. Evaluation of semantic equivalence and internal consistency of a Portuguese version of the Internet Addiction Test (IAT). Archives of Clinical Psychiatry (São Paulo) 2012;39(3):106-110. https://doi.org/10.1590/S0101-60832012000300007

                        Abreu CN, Toledo EL, Tavares H, Leite PL, Filomensky TZ. Escalas de outros comportamentos impulsivos. In: Instrumentos de avaliação em saúde mental. Artmed; 2016. Consulta: Nov 15, 2024. Disponible en: https://observatorio.fm.usp.br/handle/OPI/20573

                        Widyanto L, McMurran M. The psychometric properties of the Internet Addiction Test. Cyberpsychol Behav. 2004;7(4):443–50. https://doi.org/10.1089/cpb.2004.7.443

                        Ferraro G, Caci B, D'Amico A, Di Blasi M. Internet addiction disorder: an Italian study. Cyberpsychol Behav. 2007;10(2):170–5. https://doi.org/10.1089/cpb.2006.9972

                        Khazaal Y, Billieux J, Thorens G, Khan R, Louati Y, Scarlatti E, et al. French validation of the Internet Addiction Test. Cyberpsychol Behav. 2008;11(6):703–6. https://doi.org/10.1089/cpb.2007.0249

                        Brito AB, Pinho L de, Brito MFSF, Messias RB, Brito KDP, Rodrigues CAO, et al. Propriedades psicométricas do Internet Addiction Test em estudantes de Montes Claros, Minas Gerais, Brasil. Cad Saude Publica. 2021;37(5):e00212619. https://doi.org/10.1590/0102-311X00212619

                        Lima C de A, Messias RB, Brito AB, Ferreira TB, Barbosa MS, Pinho L de, et al. Suicidal ideation and associated factors among high school and university students: A hierarchical analysis. J Bras Psiquiatr. 2021;70(3):211–23. https://doi.org/10.1590/0047-2085000000342

                        Glele Ahanhanzo Y, Olatoundé Agnidé Ally F, Dansou P, Sossa Jérôme C, Kpozehouen A, Sopoh GE. L’addiction à internet, une réalité contemporaine au Bénin: analyse exploratoire des facteurs associés chez des étudiants du secteur médical et paramédical en 2022. Sante Publique. 2024;36(1):109–120. https://doi.org/10.3917/spub.241.0109

                        Coelho MMF. Banco de Dados Saúde Mental. OSF Storage. Disponível em: https://osf.io/wz6u4/files/osfstorage?view_only=a6d92ce438e543c88f493664918fb32d

                        Kline RB. Principles and practice of structural equation modeling. 4th ed. New York: Guilford Press; 2015.

                        DiStefano C, Morgan GB. A comparison of diagonal weighted least squares robust estimation techniques for ordinal data. Struct Equ Modeling. 2014;21(3):425–38. https://doi.org/10.1080/107055

                        Li CH. Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares. Behav Res Methods. 2016;48(3):936–49. https://doi.org/10.3758/s13428-015-0619-7

                        Brown T. Confirmatory Factor Analysis for Applied Research. 2nd ed. Guilford Press; 2015.

                        Melo GAA, Silva RA, Pereira FG, Lima LA, Magalhães TM, Silva VM, et al. Psychometric validation of the general comfort questionnaire in chronic patients under kidney hemodialysis. Acta Paul Enferm. 2020;33:eAPE20190258. https://doi.org/10.37689/acta-ape/2020AO02585

                        Abbas H, Rasheed N, Mani UA, Kumar M. Internet addiction among MBBS students at a New Delhi medical college: Prevalence and determinants of a silent pandemic. J Fam Med Prim Care. 2024;13(2):730–5. https://doi.org/10.4103/jfmpc.jfmpc_1242_23

                        Shanshal SA, Al-Qazaz HK, Saadallah DA, Mohammed SY, Saber QAY, Ali MM, et al. Social media addiction and depression and their predictors among university students. Int J Adolesc Med Health. 2024;36(2):123–32. https://doi.org/10.1515/ijamh-2022-0111

                        Dong W, Tang H, Wu S, Lu G, Shang Y, Chen C. The effect of social anxiety on teenagers' internet addiction: the mediating role of loneliness and coping styles. BMC Psychiatry. 2024;24(1):395. https://doi.org/10.1186/s12888-024-05854-5

                        Li S, Chen X, Liu L, Sun C. The relationship between social withdrawal and problematic social media use in Chinese college students: a chain mediation of alexithymia and negative body image. BMC Psychol. 2024;12(1):246. https://doi.org/10.1186/s40359-024-01755-0

                        Oelker A, Rumpf HJ, Brand M, Muller SM. Validations of the ACSID-11 for consistent screening of specific Internet-use disorders based on ICD-11 criteria for gaming disorder: a multitrait-multimethod approach. Compr Psychiatry. 2024;132:152470. https://doi.org/10.1016/j.comppsych.2024.152470

                        Ayar D, Bektas M, Bektas I, Kudubes AA, Ok YS,Altan AA, et al. The Effect of Adolescents' Internet Addiction on Smartphone Addiction. J Addict Nurs. 2017;132(4):201-2140. https://doi.org/10.1097/jan.0000000000000196

                        Saraiva J, Esgalhado G, Pereira H, Monteiro S, Afonso RM, Loureiro M. The Relationship Between Emotional Intelligence and Internet Addiction Among Youth and Adults. J Addict Nurs. 2018, 29(1):13-22. https://doi.org/10.1097/JAN.0000000000000209

                        Samaha AA, Fawaz Mbrito, El Yahfoufi N, Gebbawi M, Abdallah H, Baydoun SA, et al. Assessing the psychometric properties of the Internet Addiction Test (IAT) among Lebanese college students. Front Public Health. 2018;6:365. https://doi.org/10.3389/fpubh.2018.00365

                        Mokhtarinia HR, Khodaie Ardakani MR, Ebadi A, Gabel CP. Cross-cultural adaptation and psychometric evaluation of the short version of Smart Phone Addiction Scale in the Persian language. Iran J Psychiatry. 2023;18(1):35–44. https://doi.org/10.18502/ijps.v18i1.11411

                        Spoorthy MS, Singh LK, Tikka SK, Hara SH. Exploratory Factor Analysis of Young's Internet Addiction Test Among Professionals from India: An Online Survey. Indian J Psychol Med. 2021;43(1):65–9. https://doi.org/10.1177/0253717620932243

                        Hashemi Y, Zarani F, Heidari M, Borhani K, Shakiba S. Psychometric properties of the Persian Internet Addiction Test-Social Networking Sites Version: Dimensionality assessment of social networking site addiction. Addict Health. 2021;13(2):95–105. https://doi.org/10.22122/ahj.v13i2.289

                        World Health Organization. ICD-11 implementation or transition guide [Internet]. 2019 [cited 2024 Nov 15]. Available from: https://icd.who.int/en/docs/ICD-11%20Implementation%20or%20Transition%20Guide_v105.pdf

                        Cerqueira ML de O, Brito MCV, Sousa JP da S, Souza CDF de, Correia DS. Internet addiction disorder among medicine students in the first year of the COVID-19 pandemic. Rev Bras Educ Med. 2023;47(2):e071. https://doi.org/10.1590/1981-5271v47.2-2022-0213

                        Yılmaz HO, Meriç ÇS, Bülbül K, Türkkan T. Is problematic use of the Internet and smartphone predictor of unhealthy eating behaviors and abnormal body weight in Turkish young adults? J Health Psychol. 2024;30(2):186-198. https://doi.org/10.1177/13591053241249542

                        Hammad MA, Al-Shahrani HF. Impulsivity and aggression as risk factors for internet gaming disorder among university students. Sci Rep. 2024;14(1):3712. https://doi.org/10.1038/s41598-024-53807-5

                        Downloads

                        Published

                        2025-08-22

                        How to Cite

                        1.
                        Coelho M de MF, Cavalcante VMV, Castro TH, Oriá MOB, Beserra EP, Gubert F do A, et al. Confirmatory factor analysis of the internet addiction test in university students. Revista Cuidarte [Internet]. 2025 Aug. 22 [cited 2026 Apr. 27];16(2). Available from: https://revistas.udes.edu.co/cuidarte/article/view/4593

                        Downloads

                        Download data is not yet available.