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      Development of a Novel Method of Assessing Potential Loss of Control in Internet Gaming Disorder

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          Abstract

          As video game play has increased in popularity, so too have reports that a subset of individuals play games in a way that causes negative consequences to their lives, which has resulted in the proposed inclusion of internet gaming disorder (IGD) as a formal mental health diagnosis. Given the mass popularity of video games, it is critical that screening materials for this proposed disorder are sufficiently sensitive to ensure that individuals who suffer harm are identified, while those who do not are not mislabeled as such. Here, we examined the extent to which participants’ responses to a typical IGD questionnaire predicted academic behaviors that could be associated with harm. We recruited 42 college students and tracked their gaming and studying habits weekly over the course of one semester, taking particular note of weeks in which participants did or did not have exams. We predicted that college students overall would spend less time engaging with video games and more time with academics when they had exams, but such modulations would be smaller among individuals with more initial IGD symptoms (i.e., the “more IGD symptoms” group, as compared to the “fewer IGD symptoms” group, would show loss of control). We did not find that college students overall spent less time engaging with video games and more time with academics when they had exams, but post hoc effect size analyses indicated that our study was underpowered. Implications of potential results using this methodology are discussed and estimates of powerful sample sizes are provided.

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          Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

          G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
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            lmerTest Package: Tests in Linear Mixed Effects Models

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              Internet Addiction: The Emergence of a New Clinical Disorder

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                Author and article information

                Journal
                Technology, Mind, and Behavior
                American Psychological Association
                2689-0208
                November 8, 2023
                : 4
                : 2
                Affiliations
                [1]Department of Psychological and Brain Sciences, University of Iowa
                [2]Intramural Research Program, National Institute on Drug Abuse, Baltimore, Maryland, United States
                [3]Positive Psychology Center, University of Pennsylvania
                [4]Department of Psychology, University of Wisconsin—Madison
                Author notes
                Special Collection Editors: Nick Bowman, Douglas A. Gentile, C. Shawn Green, and Tracy Markle
                Action Editor: Nick Bowman was the action editor for this article.
                Acknowledgments: The authors thank Yolanda L. Jones, NIH Library, for article editing assistance; the members of the NIH/NIDA Technology and Translational Research Unit for article review and commentary; Marina Kheyfets, George Washington University Milken Institute School of Public Health, for reproducing our analyses and aiding with data processing; Lauren Anthony, University of Wisconsin-Madison Department of Psychology, for analysis and graphic assistance; and Hanna Klecka, University of Wisconsin-Madison Department of Psychology (currently employed at Illumina, Inc.), for study recruitment and procedure assistance.
                Funding: This study was funded in part by the Intramural Research Program of the National Institutes of Health (NIH), NIDA. Data collection was performed at the University of Wisconsin—Madison and analysis and writing was conducted at the National Institute on Drug Abuse (NIDA).
                Disclosures: There are no perceived or potential conflicts of interest to report.
                Data availability: Supplemental data analysis methods are available in Supplemental Material 1. Preregistration, additional study materials, data, and analysis code are available under an umbrella project at https://osf.io/ht5p7/. To aid in finding specific components, the preregistration and study materials are available at https://osf.io/mxy82, data are available at https://osf.io/9pe5k, and analysis code is available at https://osf.io/tdb6s/.
                Past Uses of Data: Data were presented at an undergraduate student symposium at the University of Wisconsin-Madison and at internal meetings at the National Institute on Drug Abuse.
                Open Science Disclosures:

                The data are available at https://osf.io/ht5p7/

                The experimental materials are available at https://osf.io/ht5p7/

                The preregistered design (transparent changes and data exist notation) is available at https://osf.io/ht5p7/

                [*] Zachary Demko, Department of Psychological and Brain Sciences, University of Iowa, G60 Psychological and Brain Sciences Building, Iowa City, IA 52242, United States zachary-demko@uiowa.edu
                Author information
                https://orcid.org/0000-0002-5717-6205
                https://orcid.org/0000-0002-8179-6180
                https://orcid.org/0000-0002-2511-3322
                https://orcid.org/0000-0002-9290-0262
                Article
                tmb 2024-23219-001
                10.1037/tmb0000119
                3c92480d-1f8f-4989-ba7e-63d842677336
                In the public domain

                Distributed under the terms of a https://creativecommons.org/licenses/by-nc-nd/4.0/, which permits noncommercial use and distribution in any medium, provided the original author(s) and source are credited, and the original work is not modified.

                History
                Categories
                Behavioral Addiction to Technology

                Education,Psychology,Vocational technology,Engineering,Clinical Psychology & Psychiatry
                internet gaming disorder,diagnostic,addiction,sensor data,academic

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