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International Journal of Mental Health and Addiction

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Open Access 01-08-2019 | Original Article

Measurement Invariance of the Nine-Item Internet Gaming Disorder Scale (IGDS9-SF) Across Albania, USA, UK, and Italy

Authors: Valeria de Palo, Lucia Monacis, Maria Sinatra, Mark D. Griffiths, Halley Pontes, Menada Petro, Silvana Miceli

Published in: International Journal of Mental Health and Addiction | Issue 4/2019

Abstract

The IGDS9-SF, which assesses Internet Gaming Disorder behaviors, has been validated in a number of countries (Portugal, Italy, Iran, Slovenia), although the psychometric equivalence of the instrument has been assessed only across Australia, the USA, the UK, and India. This research aimed at providing further cross-cultural insights into IGD by assessing the factorial structure of the IGDS9-SF in Albania and investigating its measurement invariance across Albanian, Italian, American, and British gamers. Multi-Group Confirmatory Factor Analyses were performed on a sample of 1411 participants from Albania (n = 228), USA (n = 237), the UK (n = 275), and Italy (n = 671). The CFAs confirmed the single-factor structure in the four countries. Measurement invariance supported the configural invariance and partially supported the metric and scalar invariance. Overall, the findings provided evidence for the underlying factor assessing IGD across the countries, although the specific meaning of the construct was non-identical.

Agaj, D. (2015). Predictive effects of self-esteem, shyness and loneliness on internet addiction, case of Albania. International Journal of Education and Research, 3(12), 129–134.

Agaj, D. (2016). The impact of the components of the locus of control in internet addiction, case of Albania. American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS), 18(1), 40–44.

Agaj, D., & Marku, A. (2015). The phenomenon of Internet addiction in adolescents: case of Albania. Academic Journal of Interdisciplinary Studies, 4(3 S1), 122. https://doi.org/10.5901/ajis.2015.v4n3s1p122.CrossRef

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington, VA: Author.

Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246. https://doi.org/10.1037//0033-2909.107.2.238.CrossRefPubMed

Bentler, P. M., & Bonnet, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588–606. https://doi.org/10.1037//0033-2909.88.3.588.CrossRef

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

Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9, 233–255. https://doi.org/10.1207/s15328007sem0902_5.CrossRef

Fontaine, J. R. J. (2005). Equivalence. In K.Kempf-Leonard (Ed.), Encyclopedia of social measurement (Vol. 1) (pp. 803–813). San Diego, CA: Academic Press.

Global Games Market Report (2017). Retrieved November 06, 2017, from:https://newzoo.com/insights/rankings/top-100-countries-by-game-revenues/

Griffiths, M. D., King, D. L., & Demetrovics, Z. (2014). DSM-5 Internet Gaming Disorder needs a unified approach to assessment. Neuropsychiatry, 4(1), 1–4. https://doi.org/10.2217/npy.13.82.

Hasmujaj, E. (2016). Internet addiction and loneliness among students of University of Shkodra. European Scientific Journal, 12(29), 397–407. https://doi.org/10.19044/esj.2016.v12n29p397.CrossRef

HofstedeG. (1980). Culture’s consequences. Beverly Hills, CA: Sage.

Hofstede, G. (2001). Culture’s consequences: comparing values, behaviors, institutions, and organizations across nations (2nd ed.). Thousand Oaks, CA: Sage Publications, Inc..

Hofstede, G., Hofstede, G. J., & Minkov, M. (2010). Cultures and organizations: software of the mind. New York: McGraw-Hill.

Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation modelling: guidelines for determining model fit. Electronic Journal of Business Research Methods, 6(1), 53–60.

Hu, L. T., & 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. https://doi.org/10.1080/10705519909540118.CrossRef

Jöreskog, K. G. (1971). Simultaneous factor analysis in several populations. Psychometrika, 36, 409–426. https://doi.org/10.1007/bf02291366.CrossRef

Jöreskog, K. G. (1993). Testing structural equation models. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 294–316). Newbury Park, CA: Sage.

Kim, H. Y. (2013). Statistical notes for clinical researchers: assessing normal distribution using skewness and kurtosis. Restorative Dentistry & Endodontics, 38(1), 52–54. https://doi.org/10.5395/rde.2013.38.1.52.CrossRef

King, D. L., Haagsma, M. C., Delfabbro, P. H., Gradisar, M., & Griffiths, M. D. (2013). Toward a consensus definition of pathological video-gaming: a systematic review of psychometric assessment tools. Clinical Psychology Review, 33(3), 331–342. https://doi.org/10.1016/j.cpr.2013.01.002.CrossRefPubMed

Ko, C. H. (2014). Internet gaming disorder. Current Addiction Reports, 1(3), 177–185. https://doi.org/10.1007/s40429-014-0030-y.CrossRef

Kühne, R. (2013). Testing measurement invariance in media psychological research. Journal of Media Psychology, 25, 153–159. https://doi.org/10.1027/1864-1105/a000096.CrossRef

Kuss, D. J. (2013). Internet gaming addiction: current perspectives. Psychology Research and Behavior Management, 6, 125. https://doi.org/10.2147/prbm.s39476.CrossRefPubMedPubMedCentral

Kuss, D. J., Griffiths, M. D., & Pontes, H. M. (2017). Chaos and confusion in DSM-5 diagnosis of Internet Gaming Disorder: issues, concerns, and recommendations for clarity in the field. Journal of Behavioral Addictions, 6(2), 103–109. https://doi.org/10.1556/2006.5.2016.062.CrossRefPubMedPubMedCentral

Lin, X., Jia, X., Zang, Y. F., & Dong, G. (2015). Frequency-dependent changes in the amplitude of low-frequency fluctuations in internet gaming disorder. Frontiers in Psychology, 6(1471). https://doi.org/10.3389/fpsyg.2015.01471.

Melonashi, E. (2017). Social anxiety and self-reported time spent online in a sample of Albanian university students. CBU International Conference Proceedings, 5, 717–721. https://doi.org/10.12955/cbup.v5.1013.CrossRef

Merenda, P. F. (2006). An overview of adapting educational and psychological assessment instruments: past and present. Psychological Reports, 99, 307–314. https://doi.org/10.2466/pr0.99.6.307-314.CrossRefPubMed

Milfont, T. L., & Fischer, R. (2010). Testing measurement invariance across groups: applications in crosscultural research. International Journal of Psychological Research, 3(1), 111–121. https://doi.org/10.21500/20112084.857.CrossRef

Millsap, R. E., & Yun-Tein, J. (2004). Assessing factorial invariance in ordered-categorical measures. Multivariate Behavioral Research, 39(3), 479–515. https://doi.org/10.1207/s15327906mbr3903_4.CrossRef

Monacis, L., de Palo, V. D., Griffiths, M. D., & Sinatra, M. (2016). Validation of the internet gaming disorder scale–short-form (IGDS9-SF) in an Italian-speaking sample. Journal of behavioral addictions, 5(4), 683–690. https://doi.org/10.1556/2006.5.2016.083.CrossRefPubMedPubMedCentral

Monacis, L., de Palo, V., Griffiths, M. D., & Sinatra, M. (2017). Exploring individual differences in online addictions: the role of identity and attachment. International Journal of Mental Health and Addiction, 15(4), 853–868. https://doi.org/10.1007/s11469-017-9768-5.CrossRefPubMedPubMedCentral

Muthén, L. K., &Muthén, B. O.(1998–2012). Mplus user’s guide (7th ed.). Los Angeles, CA: Muthén & Muthén.

Petry, N. M., & O'brien, C. P. (2013). Internet gaming disorder and the DSM-5. Addiction, 108(7), 1186–1187. https://doi.org/10.1111/add.12162.CrossRefPubMed

Pontes, H. M., & Griffiths, M. D. (2014). Assessment of Internet gaming disorder in clinical research: past and present perspectives. Clinical Research and Regulatory Affairs, 31(2–4), 35–48. https://doi.org/10.3109/10601333.2014.962748.CrossRef

Pontes, H. M., & Griffiths, M. D. (2015). Measuring DSM-5 Internet gaming disorder: development and validation of a short psychometric scale. Computers in Human Behavior, 45, 137–143. https://doi.org/10.1016/j.chb.2014.12.006.CrossRef

Pontes, H. M., & Griffiths, M. D. (2016). Portuguese validation of the internet gaming disorder scale–short-form. CyberPsychology, Behavior & Social Networking, 19(4), 288–293. https://doi.org/10.1089/cyber.2015.0605.CrossRef

Pontes, H. M., Macur, M., & Griffiths, M. D. (2016). Internet gaming disorder among Slovenian primary schoolchildren: findings from a nationally representative sample of adolescents. Journal of Behavioral Addictions, 5(2), 304–310. https://doi.org/10.1556/2006.5.2016.042.CrossRefPubMedPubMedCentral

Pontes, H. M., Stavropoulos, V., & Griffiths, M. D. (2017). Measurement invariance of the internet gaming disorder scale–short-form (IGDS9-SF) between the United States of America, India and the United Kingdom. Psychiatry Research, 257, 472–478. https://doi.org/10.1016/j.psychres.2017.08.013.CrossRefPubMed

Raylu, N., & Oei, T. P. (2004). Role of culture in gambling and problem gambling. Clinical Psychology Review, 23(8), 1087–1114. https://doi.org/10.1016/j.cpr.2003.09.005.CrossRefPubMed

Stavropoulos, V., Beard, C., Griffiths, M. D., Buleigh, T., Gomez, R., & Pontes, H. M. (2017). Measurement invariance of the internet gaming disorder scale–short-form (IGDS9-SF) between Australia, the USA, and the UK. International Journal of Mental Health and Addiction, 1–16. https://doi.org/10.1007/s11469-017-9786-3.

Tejeiro Salguero, R. A., & Morán, R. M. B. (2002). Measuring problem video game playing in adolescents. Addiction, 97(12), 1601–1606. https://doi.org/10.1046/j.1360-0443.2002.00218.x.CrossRefPubMed

Triandis, H. C. (2001). Individualism-collectivism and personality. Journal of Personality, 69(6), 907–924. https://doi.org/10.1111/1467-6494.696169.CrossRefPubMed

Walford, G., Tucker, E., & Viswanathan, M. (2010). The SAGE handbook of measurement. Sage Publications.

Wu, T. Y., Lin, C. Y., Årestedt, K., Griffiths, M. D., Broström, A., & Pakpour, A. H. (2017). Psychometric validation of the Persian nine-item Internet Gaming Disorder Scale–Short Form: does gender and hours spent online gaming affect the interpretations of item descriptions? Journal of Behavioral Addictions, 6(2), 256–263. https://doi.org/10.1556/2006.6.2017.025.CrossRefPubMedPubMedCentral

Title: Measurement Invariance of the Nine-Item Internet Gaming Disorder Scale (IGDS9-SF) Across Albania, USA, UK, and Italy
Authors: Valeria de Palo
Lucia Monacis
Maria Sinatra
Mark D. Griffiths
Halley Pontes
Menada Petro
Silvana Miceli
Publication date: 01-08-2019
Publisher: Springer US
Published in: International Journal of Mental Health and Addiction / Issue 4/2019
Print ISSN: 1557-1874
Electronic ISSN: 1557-1882
DOI: https://doi.org/10.1007/s11469-018-9925-5

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Measurement Invariance of the Nine-Item Internet Gaming Disorder Scale (IGDS9-SF) Across Albania, USA, UK, and Italy

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