Ali, A. M., Al-Amer, R., Atout, M., Ali, T. S., Mansour, A. M. H., Khatatbeh, H., Alkhamees, A. A., & Hendawy, A. O. (2022). The nine-item Internet Gaming Disorder Scale (IGDS9-SF): Its psychometric properties among Sri Lankan students and measurement invariance across Sri Lanka, Turkey, Australia, and the USA. Healthcare, 10(3), 490–503. https://doi.org/10.3390/healthcare10030490

Article  PubMed  PubMed Central  Google Scholar 

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (DSM-5) (5th ed.). American Psychiatric Association.

Book  Google Scholar 

Andreetta, J., Teh, M. S. C. J., Burleigh, T. L., Gomez, R., & Stavropoulos, V. (2020). Associations between comorbid stress and Internet Gaming Disorder symptoms: Are there cultural and gender variations? Asia-Pacific Psychiatry, 12(2), e12387. https://doi.org/10.1111/appy.12387

Article  PubMed  Google Scholar 

Beranuy, M., Machimbarrena, J. M., Vega-Osés, M. A., Carbonell, X., Griffiths, M. D., Pontes, H. M., & González-Cabrera, J. (2020). Spanish validation of the internet gaming disorder scale–short form (IGDS9-SF): Prevalence and relationship with online gambling and quality of life. International Journal of Environmental Research and Public Health, 17(5), 1562. https://doi.org/10.3390/ijerph17051562

Article  PubMed  PubMed Central  Google Scholar 

Blandón, J. A., & Puerta-Cortés, D. X. (2023). Comportamientos tóxicos en videojugadores de LoL latinoamericanos. Aloma, 41(2), 27–35. https://doi.org/10.51698/aloma.2023.41.2.27-35

Article  Google Scholar 

Bonnaire, C., & Phan, O. (2017). Relationships between parental attitudes, family functioning and Internet gaming disorder in adolescents attending school. Psychiatry Research, 255, 104–110. https://doi.org/10.1016/j.psychres.2017.05.030

Article  PubMed  Google Scholar 

Brand, M., Rumpf, H. J., King, D. L., Potenza, M. N., & Wegmann, E. (2020). Clarifying terminologies in research on gaming disorder and other addictive behaviors: Distinctions between core symptoms and underlying psychological processes. Current Opinion in Psychology, 36, 49–54. https://doi.org/10.1016/j.copsyc.2020.04.006

Article  PubMed  Google Scholar 

Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). The Guilford Press.

Google Scholar 

Byrne, B. M., & Van de Vijver, F. J. R. (2017). The maximum likelihood alignment approach to testing for approximate measurement invariance: A paradigmatic cross-cultural application. PubMed, 29(4), 539–551. https://doi.org/10.7334/psicothema2017.178

Article  Google Scholar 

Carey, P. A. K., Delfabbro, P., & King, D. (2022). An evaluation of gaming-related harms in relation to gaming disorder and loot box involvement. International Journal of Mental Health and Addiction, 20(5), 2906–2921. https://doi.org/10.1007/s11469-021-00556-5

Article  PubMed  Google Scholar 

Carmona, A., Carbonell, X., & Fuster, H. (2023). Diseño de una taxonomía para el estudio psicológico de las características estructurales de los videojuegos [Design of a taxonomy for the psychological study of the structural characteristics of video games]. Aloma, 41(2), 37–48. https://doi.org/10.51698/aloma.2023.41.2.37-48

Article  Google Scholar 

Castro-Calvo, J., King, D. L., Stein, D. J., Brand, M., Carmi, L., Chamberlain, S. R., Demetrovics, Z., Fineberg, N. A., Rumpf, H. J., Yücel, M., Achab, S., Ambekar, A., Bahar, N., Blaszczynski, A., Bowden-Jones, H., Carbonell, X., Chan, E. M. L., Ko, C. H., de Timary, P., & Billieux, J. (2021). Expert appraisal of criteria for assessing gaming disorder: An international Delphi study. Addiction, 116(9), 2463–2475. https://doi.org/10.1111/add.15411

Article  PubMed  PubMed Central  Google Scholar 

Caycho, T. (2018). Importancia del análisis de invarianza factorial en estudios comparativos en Ciencias de la Salud. Educación Médica Superior., 31(2), 1–3.

Google Scholar 

Cerezo-Pizarro, M., Revuelta-Domínguez, F.-I., Guerra-Antequera, J., & Melo-Sánchez, J. (2023). The cultural impact of video games: A systematic review of the literature. Education Sciences, 13(11), 1116. https://doi.org/10.3390/educsci13111116

Article  Google Scholar 

Chan, G., Huo, Y., Kelly, S., Leung, J., Tisdale, C., & Gullo, M. (2022). The impact of eSports and online video gaming on lifestyle behaviours in youth: A systematic review. Computers in Human Behavior, 126, 106974. https://doi.org/10.1016/j.chb.2021.106974

Article  Google Scholar 

Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14(3), 464–504. https://doi.org/10.1080/10705510701301834

Article  Google Scholar 

Chen, I., Strong, C., Lin, Y., Tsai, M., Leung, H., Lin, C., Pakpour, A. H., & Griffiths, M. D. (2020). Time invariance of three ultra-brief internet-related instruments: Smartphone Application-Based Addiction Scale (SABAS), Bergen Social Media Addiction Scale (BSMAS), and the nine-item Internet Gaming Disorder Scale- Short Form (IGDS-SF9) (Study Part B). Addictive Behaviors, 101, 105960. https://doi.org/10.1016/j.addbeh.2019.04.018

Conde, S., Elor, A., Mateas, M., & Kurniawan, S. (2023). Acculturative game design with Latine communities: A bridging review on acculturative stress, behavior change, and serious games. Frontiers in Education, 8, 157. https://doi.org/10.3389/feduc.2023.1231907

Article  Google Scholar 

Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/BF02310555

Article  Google Scholar 

Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. https://doi.org/10.1037/h0040957

Article  CAS  PubMed  Google Scholar 

Darvesh, N., Radhakrishnan, A., Lachance, C. C., Nincic, V., Sharpe, J. P., Ghassemi, M., Straus, S. E., & Tricco, A. C. (2020). Exploring the prevalence of gaming disorder and Internet gaming disorder: A rapid scoping review. Systematic Reviews, 9(68), 2–10. https://doi.org/10.1186/s13643-020-01329-2

Article  Google Scholar 

de Mesquita Neto, J. A., & Becker, K. (2018). Relating conversational topics and toxic behavior effects in a MOBA game. Entertainment Computing, 26, 10–29. https://doi.org/10.1016/j.entcom.2017.12.004

Article  Google Scholar 

de Palo, V., Monacis, L., Sinatra, M., Griffiths, M. D., Pontes, H., Petro, M., & Miceli, S. (2019). Measurement invariance of the nine-item Internet Gaming Disorder Scale (IGDS9-SF) across Albania, USA, UK, and Italy. International Journal of Mental Health and Addiction, 17, 935–946. https://doi.org/10.1007/s11469-018-9925-5

Article  Google Scholar 

Dimitrov, D. M. (2010). Testing for factorial invariance in the context of construct validation. Measurement and Evaluation in Counseling and Development, 43(2), 121–149. https://doi.org/10.1177/0748175610373459

Article  Google Scholar 

Fabio, R. A., Ingrassia, M., & Massa, M. (2022). Transient and long-term improvements in cognitive processes following video games: An Italian cross-sectional study. International Journal of Environmental Research and Public Health, 19(1), 78. https://doi.org/10.3390/ijerph19010078

Article  Google Scholar 

Finney, S. J., & DiStefano, C. (2013). Nonnormal and categorical data in structural equation modeling. In G. R. Hancock & R. O. Mueller (Eds.), Structural equation modeling: A second course (pp. 439–492). IAP Information Age Publishing.

Google Scholar 

Gao, C., Shi, D., & Maydeu-Olivares, A. (2019). Estimating the maximum likelihood root mean square error of approximation (RMSEA) with non-normal data: A Monte-Carlo study. Structural Equation Modeling: A Multidisciplinary Journal, 27(2), 192–201. https://doi.org/10.1080/10705511.2019.1637741

Article  Google Scholar 

Garea, S. S., Drummond, A., Sauer, J. D., Hall, L. C., & Williams, M. N. (2021). Meta-analysis of the relationship between problem gambling, excessive gaming and loot box spending. International Gambling Studies, 21(3), 460–479. https://doi.org/10.1080/14459795.2021.1914705

Article  Google Scholar 

González-Cabrera, J., Basterra-González, A., Ortega-Barón, J., Caba-Machado, V., Díaz-López, A., Pontes, H. M., & Machimbarrena, J. M. (2023). Loot box purchases and their relationship with internet gaming disorder and online gambling disorder in adolescents: A prospective study. Computers in Human Behavior, 143, 107685. https://doi.org/10.1016/j.chb.2023.107685

Article  Google Scholar 

Grantham, J. (2023). League of Legends: Every role explained. GameRant. https://gamerant.com/league-legends-roles-explained/#:~:text=League%20of%20Legends%20has%20five,to%20play%20fighters%20or%20tanks

Halbrook, Y. J., O’Donnell, A. T., & Msetfi, R. M. (2019). When and how video games can be good: A review of the positive effects of video games on well-being. Perspectives on Psychological Science, 14(6), 1096–1104. https://doi.org/10.1177/1745691619863807

Article  PubMed  Google Scholar 

Hernández-Vásquez, A., Vargas-Fernández, R., Visconti-Lopez, F. J., Comandé, D., & Bendezu-Quispe, G. (2022). Prevalence and factors associated with gaming disorder in Latin America and the Caribbean: A systematic review. International Journal of Environmental Research and Public Health, 19(16), 10036. https://doi.org/10.3390/ijerph191610036

Article  PubMed  PubMed Central  Google Scholar 

Horn, J. L., & McArdle, J. J. (1992). A practical and theoretical guide to measurement invariance in aging research. Experimental Aging Research, 18(3–4), 117–144. https://doi.org/10.1080/03610739208253916

Article  CAS  PubMed  Google Scholar 

Howarth, J. (2024). How many gamers are there? (New 2024 Statistics). Exploding Topics. https://explodingtopics.com/blog/number-of-gamers

Jeong, H., Yim, H. W., Lee, S. Y., Lee, H. K., Potenza, M. N., & Lee, H. (2021). Factors associated with severity, incidence or persistence of internet gaming disorder in children and adolescents: A 2-year longitudinal study. Addiction, 116(7), 1828–1838. https://doi.org/10.1111/add.15366

Article  PubMed  Google Scholar 

Johnson, D., Nacke, L. E., & Wyeth, P. (2015, April). All about base: Differing player experiences in video game genres and the unique case of MOBA games. 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 2265–2274). https://doi.org/10.1145/2702123.2702447

Jorgensen, T. D., Pornprasertmanit, S., Schoemann, A. M., & Rosseel, Y. (2018). semTools: Useful tools for structural equation modeling. R package version 0.5–1. Retrieved from https://CRAN.R-project.org/package=semTools

Kardefelt-Winther, D. (2014). A critical account of DSM-5 criteria for internet gaming disorder. Addiction Research & Theory, 23(2), 93–98