机构地区:[1]Institute of Allied Health Sciences,College of Medicine,National Cheng Kung University,Tainan,701401,Taiwan [2]College of Sports Science and Technology,Mahidol University,Nakhon Pathom,73170,Thailand [3]Department of Forensic Science,Royal Police Cadet Academy,Nakhon Pathom,73110,Thailand [4]School of Computing,Engineering,and Digital Technology,Teesside University,Middlesbrough,UK [5]Faculty of Nursing,Universitas Padjadjaran,West Java,45363,Indonesia [6]Division of Health Promotion and Behavioral Sciences,Faculty of Public Health,Universitas Airlangga,Surabaya,60115,Indonesia [7]Faculty of Education,Chiang Mai University,Chiang Mai,50200,Thailand [8]Faculty of Education,Khon Kaen University,Khon Kaen,40002,Thailand [9]International Gaming Research Unit,Psychology Department,Nottingham Trent University,Nottingham,NG14FQ,UK [10]Division of Colorectal Surgery,E-DA Hospital,Kaohsiung,82445,Taiwan [11]College of Medicine,National Cheng Kung University,Tainan,701401,Taiwan [12]Biostatistics Consulting Center,National Cheng Kung University Hospital,Tainan,701401,Taiwan
出 处:《International Journal of Mental Health Promotion》2024年第4期293-302,共10页国际心理健康促进杂志(英文)
基 金:This research was funded by the Ministry of Science and Technology,Taiwan(MOST 110-2410-H-006-115);the Higher Education Sprout Project,Ministry of Education to the Headquarters of University Advancement at National Cheng Kung University(NCKU);the 2021 Southeast and South Asia and Taiwan Universities Joint Research Scheme(NCKU 31),and the E-Da Hospital(EDAHC111004).
摘 要:Background:In recent years,there has been increased research interest in both smartphone addiction and social media addiction as well as the development of psychometric instruments to assess these constructs.However,there is a lack of psychometric evaluation for instruments assessing smartphone addiction and social media addiction in Thailand.The present study evaluated the psychometric properties and gender measurement invariance of the Thai version of the Smartphone Application-Based Addiction Scale(SABAS)and Bergen Social Media Addiction Scale(BSMAS).Method:A total of 801 Thai university students participated in an online survey from January 2022 to July 2022 which included demographic information,SABAS,BSMAS,and the Internet Gaming Disorder Scale-Short Form(IGDS9-SF).Results:Confirmatory Factor Analyses(CFAs)found that both the SABAS and BSMAS had a one-factor structure.Findings demonstrated adequate psychometric properties of both instruments and also supported measurement invariance across genders.Moreover,scores on the SABAS and BSMAS were correlated with scores on the IGDS9-SF.Conclusion:The results indicated that the SABAS and BSMAS are useful psychometric instruments for assessing the risk of smartphone addiction and social media addiction among Thai young adults.
关 键 词:Factor analysis smartphone addiction social media addiction smartphone application-based addiction scale bergen social media addiction scale psychometric validation
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