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      Psychometric Properties of Three Simplified Chinese Online-Related Addictive Behavior Instruments Among Mainland Chinese Primary School Students

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          Abstract

          Background/Objective

          There are inadequate screening instruments for assessing specific internet-related addictions among mainland Chinese primary school students. Therefore, the present study validated the psychometric properties of three simplified Chinese online-related addictive behavior instruments among mainland Chinese primary school students.

          Method

          Fourth to sixth graders (n = 1108; 48.3% males; mean [SD] age = 10.37 years [0.95]) completed the nine-item Internet Gaming Disorder Scales-Short Form (IGDS-SF9), Bergen Social Media Addiction Scale (BSMAS), and Smartphone Application-Based Addiction Scale (SABAS) in a classroom. The factorial structures and the unidimensionality of the three scales were examined using confirmatory factor analyses (CFAs). Measurement invariance of the three scales was examined using multigroup confirmatory factor analyses (MGCFAs) across gender.

          Results

          The findings demonstrated that the three scales (Cronbach’s α = 0.73 to 0.84) had unidimensional structure as supported by satisfactory fit indices (comparative fit index = 0.98 to 1.00). The MGCFA findings indicated that the unidimensional structures of the three scales were invariant across gender.

          Conclusions

          The findings indicate that the three simplified Chinese scales (IGDS-SF9, BSMAS, and SABAS) are valid instruments for assessing online-related addictive behaviors among mainland Chinese primary school students irrespective of their gender.

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          Most cited references56

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          Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

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            Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance

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                Author and article information

                Contributors
                Journal
                Journal ID (nlm-ta): Front Psychiatry
                Journal ID (iso-abbrev): Front Psychiatry
                Journal ID (publisher-id): Front. Psychiatry
                Title: Frontiers in Psychiatry
                Publisher: Frontiers Media S.A.
                ISSN (Electronic): 1664-0640
                Publication date (Electronic): 03 September 2020
                Publication date Collection: 2020
                Volume: 11
                Electronic Location Identifier: 875
                Affiliations
                [1] 1 Chinese Academy of Education Big Data, Qufu Normal University , Shandong, China
                [2] 2 School of Education Science, Minnan Normal University , Zhangzhou, China
                [3] 3 Department of Rehabilitation Sciences, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University , Hong Kong, Hong Kong
                [4] 4 Social Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences , Qazvin, Iran
                [5] 5 Department of Nursing, School of Health and Welfare, Jönköping University , Jönköping, Sweden
                [6] 6 International Gaming Research Unit, Psychology Department, Nottingham Trent University , Nottingham, United Kingdom
                [7] 7 Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University , Tainan, Taiwan
                Author notes

                Edited by: Elias Aboujaoude, Stanford University, United States

                Reviewed by: Domenico De Berardis, Azienda Usl Teramo, Italy; Deena Marie Walker, Oregon Health and Science University, United States

                *Correspondence: Chung-Ying Lin, cylin36933@ 123456gmail.com

                †These authors have contributed equally to this work

                This article was submitted to Addictive Disorders, a section of the journal Frontiers in Psychiatry

                Article
                DOI: 10.3389/fpsyt.2020.00875
                PMC ID: 7495180
                PubMed ID: 33101070
                SO-VID: 1b1868b1-b5e6-437d-84fb-2cbd99fd0b2b
                Copyright © Copyright © 2020 Chen, Ahorsu, Pakpour, Griffiths, Lin and Chen
                License:

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                Date received : 17 March 2020
                Date accepted : 11 August 2020
                Page count
                Figures: 0, Tables: 5, Equations: 0, References: 58, Pages: 8, Words: 5090
                Categories
                Subject: Psychiatry
                Subject: Original Research

                ScienceOpen disciplines: Clinical Psychology & Psychiatry
                Keywords: child technology use,gaming addiction,psychometrics,social media addiction,smartphone addiction
                Data availability:
                ScienceOpen disciplines: Clinical Psychology & Psychiatry
                Keywords: child technology use, gaming addiction, psychometrics, social media addiction, smartphone addiction

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