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Psychometric Properties of Three Simplified Chinese Online-Related Addictive Behavior Instruments Among Mainland Chinese Primary School Students
Chinese Academy of Education Big Data, Qufu Normal University, Shandong, China.
Department of Rehabilitation Sciences, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong.
Jönköping University, School of Health and Welfare, HHJ, Dep. of Nursing Science.ORCID iD: 0000-0002-8798-5345
International Gaming Research Unit, Psychology Department, Nottingham Trent University, Nottingham, United Kingdom.
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2020 (English)In: Frontiers in Psychiatry, E-ISSN 1664-0640, Vol. 11, article id 875Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Frontiers Media S.A., 2020. Vol. 11, article id 875
Keywords [en]
child technology use, gaming addiction, psychometrics, smartphone addiction, social media addiction
National Category
Psychology
Identifiers
URN: urn:nbn:se:hj:diva-50714DOI: 10.3389/fpsyt.2020.00875ISI: 000570561600001Scopus ID: 2-s2.0-85091056709Local ID: GOA HHJ 2020:HHJÖvrigtISOAI: oai:DiVA.org:hj-50714DiVA, id: diva2:1471529
Available from: 2020-09-29 Created: 2020-09-29 Last updated: 2024-01-17Bibliographically approved

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Pakpour, Amir H.

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