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      Measurement Invariance of the Internet Gaming Disorder Scale–Short-Form (IGDS9-SF) Between Australia, the USA, and the UK

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          Abstract

          The Internet Gaming Disorder Scale–Short-Form (IGDS9-SF) is widely used to assess Internet Gaming Disorder behaviors. Investigating cultural limitations and implications in its applicability is imperative. One way to evaluate the cross-cultural feasibility of the measure is through measurement invariance analysis. The present study used Multigroup Confirmatory Factor Analysis (MGCFA) to examine the IGDS9-SF measurement invariance across gamers from Australia, the United States of America (USA), and the United Kingdom (UK). To accomplish this, 171 Australian, 463 USA, and 281 UK gamers completed the IGDS9-SF. Although results supported the one-factor structure of the IGD construct, they indicated cross-country variations in the strength of the relationships between the indicators and their respective factor (i.e., non-invariant loadings of items 1, 2, 5), and that the same scores may not always indicate the same level of IGD severity across the three groups (i.e., non-invariant intercepts for items 1, 5, 7, 9).

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          Most cited references18

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Separate but equal? A comparison of participants and data gathered via Amazon’s MTurk, social media, and face-to-face behavioral testing

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              Ensuring Positiveness of the Scaled Difference Chi-square Test Statistic.

              A scaled difference test statistic [Formula: see text] that can be computed from standard software of structural equation models (SEM) by hand calculations was proposed in Satorra and Bentler (2001). The statistic [Formula: see text] is asymptotically equivalent to the scaled difference test statistic T̄(d) introduced in Satorra (2000), which requires more involved computations beyond standard output of SEM software. The test statistic [Formula: see text] has been widely used in practice, but in some applications it is negative due to negativity of its associated scaling correction. Using the implicit function theorem, this note develops an improved scaling correction leading to a new scaled difference statistic T̄(d) that avoids negative chi-square values.
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                Author and article information

                Contributors
                halley.pontes@ntu.ac.uk
                Journal
                Int J Ment Health Addict
                Int J Ment Health Addict
                International Journal of Mental Health and Addiction
                Springer US (New York )
                1557-1874
                1557-1882
                24 July 2017
                24 July 2017
                2018
                : 16
                : 2
                : 377-392
                Affiliations
                [1 ]ISNI 0000 0001 2155 0800, GRID grid.5216.0, University of Athens, ; Athens, Greece
                [2 ]ISNI 0000 0001 1091 4859, GRID grid.1040.5, Federation University, ; Ballarat, Australia
                [3 ]ISNI 0000 0004 0526 6385, GRID grid.261634.4, Palo Alto University, ; 1791 Arastradero Rd, Palo Alto, CA 94304 USA
                [4 ]ISNI 0000 0001 0727 0669, GRID grid.12361.37, Nottingham Trent University, ; Nottingham, UK
                Article
                9786
                10.1007/s11469-017-9786-3
                5897478
                29670499
                51705b43-cbb7-44e7-a4c6-b73fbf15db27
                © The Author(s) 2017

                Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                Funding
                Funded by: Nottingham Trent University
                Categories
                Original Article
                Custom metadata
                © Springer Science+Business Media, LLC, part of Springer Nature 2018

                Health & Social care
                igd,igds9-sf,measurement invariance,gamers,internet gaming disorder,gaming addiction

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