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      Internet Gaming Disorder Among Slovenian Primary Schoolchildren: Findings From a Nationally Representative Sample of Adolescents

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          Abstract

          Background and aims

          Since the inclusion of Internet Gaming Disorder (IGD) in the latest (fifth) edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) as a tentative disorder, a few psychometric screening instruments have been developed to assess IGD, including the 9-item Internet Gaming Disorder Scale – Short-Form (IGDS9-SF) – a short, valid, and reliable instrument.

          Methods

          Due to the lack of research on IGD in Slovenia, this study aimed to examine the psychometric properties of the IGDS9-SF in addition to investigating the prevalence rates of IGD in a nationally representative sample of eighth graders from Slovenia ( N = 1,071).

          Results

          The IGDS9-SF underwent rigorous psychometric scrutiny in terms of validity and reliability. Construct validation was investigated with confirmatory factor analysis to examine the factorial structure of the IGDS9-SF and a unidimensional structure appeared to fit the data well. Concurrent and criterion validation were also investigated by examining the association between IGD and relevant psychosocial and game-related measures, which warranted these forms of validity. In terms of reliability, the Slovenian version IGDS9-SF obtained excellent results regarding its internal consistency at different levels, and the test appears to be a valid and reliable instrument to assess IGD among Slovenian youth. Finally, the prevalence rates of IGD were found to be around 2.5% in the whole sample and 3.1% among gamers.

          Discussion and conclusion

          Taken together, these results illustrate the suitability of the IGDS9-SF and warrants further research on IGD in Slovenia.

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          Most cited references70

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            Comparative fit indexes in structural models.

            P. Bentler (1990)
            Normed and nonnormed fit indexes are frequently used as adjuncts to chi-square statistics for evaluating the fit of a structural model. A drawback of existing indexes is that they estimate no known population parameters. A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models. Two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes. CFI avoids the underestimation of fit often noted in small samples for Bentler and Bonett's (1980) normed fit index (NFI). FI is a linear function of Bentler and Bonett's non-normed fit index (NNFI) that avoids the extreme underestimation and overestimation often found in NNFI. Asymptotically, CFI, FI, NFI, and a new index developed by Bollen are equivalent measures of comparative fit, whereas NNFI measures relative fit by comparing noncentrality per degree of freedom. All of the indexes are generalized to permit use of Wald and Lagrange multiplier statistics. An example illustrates the behavior of these indexes under conditions of correct specification and misspecification. The new fit indexes perform very well at all sample sizes.
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              Two-sided confidence intervals for the single proportion: comparison of seven methods.

              Simple interval estimate methods for proportions exhibit poor coverage and can produce evidently inappropriate intervals. Criteria appropriate to the evaluation of various proposed methods include: closeness of the achieved coverage probability to its nominal value; whether intervals are located too close to or too distant from the middle of the scale; expected interval width; avoidance of aberrations such as limits outside [0,1] or zero width intervals; and ease of use, whether by tables, software or formulae. Seven methods for the single proportion are evaluated on 96,000 parameter space points. Intervals based on tail areas and the simpler score methods are recommended for use. In each case, methods are available that aim to align either the minimum or the mean coverage with the nominal 1 -alpha.
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                Author and article information

                Journal
                J Behav Addict
                J Behav Addict
                jba
                JBA
                Journal of Behavioral Addictions
                Akadémiai Kiadó (Budapest )
                2062-5871
                2063-5303
                01 July 2016
                01 June 2016
                : 5
                : 2
                : 304-310
                Affiliations
                [1 ]International Gaming Research Unit, Division of Psychology, Nottingham Trent University , Nottingham, United Kingdom
                [2 ]Data Analysis Department, National Institute of Public Health , Ljubljana, Slovenia
                Author notes
                [* ]Corresponding author: Halley M. Pontes, MSc; Nottingham Trent University, Graduate School, Burton Street, NG1 4BU Nottingham, United Kingdom; Phone: +44 115 941 8418; Fax: +386 1 2441 447; E-mail: halleypontes@ 123456hotmail.com
                Article
                10.1556/2006.5.2016.042
                5387781
                27363464
                82ab9bfd-2f71-405b-9a21-69666f84da6c
                © 2016 Akadémiai Kiadó, Budapest

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium for non-commercial purposes, provided the original author and source are credited.

                History
                : 16 February 2016
                : 17 May 2016
                : 17 May 2016
                Page count
                Figures: 1, Tables: 1, Equations: 0, References: 49, Pages: 7
                Funding
                Funding sources: This study was supported by Norway Grants ( http://eeagrants.org/project-portal/project/SI05-0007; under Grant SI05-0007). H. M. Pontes also acknowledges the funding received by the Portuguese Foundation for Science and Technology [Fundação para a Ciência e Tecnologia (FCT)], under Grant SFRH/BD/112857/2015. The funding agencies had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the article.
                Categories
                Full-Length Report

                internet gaming disorder,internet addiction,slovenian samples,psychometric validation,dsm-5

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