Specific Internet Disorders in University Students in Taiwan and Hong Kong: Psychometric Properties with Invariance Testing for the Traditional Chinese Version of the Assessment of Criteria for Specific Internet-Use Disorders (ACSID-11).

The Assessment of Criteria for Specific Internet-use Disorder (ACSID-11) is a psychometric instrument assessing different types of problematic internet use. The aim of the present study was to assess the psychometric properties of the traditional Chinese version and evaluate whether the traditional...

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Publicado en:International Journal of Mental Health & Addiction Vol. 23; no. 4; pp. 2942 - 2976
Autores principales: Huang, Yu-Ting, Ruckwongpatr, Kamolthip, Chen, Ji-Kang, Pakpour, Amir H., Siaw, Yan-Li, Nadhiroh, Siti Rahayu, Kukreti, Shikha, Chen, Jung-Sheng, Potenza, Marc N., Griffiths, Mark D., Lin, Chung-Ying
Formato: Artículo
Publicado: Springer Nature Aug2025
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Acceso en línea:Ver este registro en EBSCOhost
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        10.1007/s11469-024-01270-8
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        atl: Specific Internet Disorders in University Students in Taiwan and Hong Kong: Psychometric Properties with Invariance Testing for the Traditional Chinese Version of the Assessment of Criteria for Specific Internet-Use Disorders (ACSID-11).
      aug:
        au:
          Huang, Yu-Ting
          Ruckwongpatr, Kamolthip
          Chen, Ji-Kang
          Pakpour, Amir H.
          Siaw, Yan-Li
          Nadhiroh, Siti Rahayu
          Kukreti, Shikha
          Chen, Jung-Sheng
          Potenza, Marc N.
          Griffiths, Mark D.
          Lin, Chung-Ying
        affil:
          https://ror.org/01b8kcc49 Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, 1 University Rd, 701, Tainan, Taiwan
          https://ror.org/00t33hh48 Department of Social Work, Chinese University of Hong Kong, Hong Kong, Hong Kong
          https://ror.org/03t54am93 Department of Nursing, School of Health and Welfare, Jönköping University, Jönköping, Sweden
          Department of Educational Psychology and Counselling, University Malaya, Kuala Lumpur, Malaysia
          https://ror.org/04ctejd88 Department of Nutrition, Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia
          https://ror.org/04zx3rq17 Department of Public Health, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, 701, Tainan, Taiwan
          https://ror.org/04d7e4m76 Department of Medical Research, E-Da Hospital, I-Shou University, 824, Kaohsiung, Taiwan
          Connecticut Council On Problem Gambling, 100 Great Meadow Rd., Suite 704, 06109, Wethersfield, CT, USA
          https://ror.org/03v76x132 Child Study Center, Yale School of Medicine, 350 George St, 06511, New Haven, CT, USA
          https://ror.org/03v76x132 Department of Neuroscience, Yale University, New Haven, CT, USA
          https://ror.org/03v76x132 Wu Tsai Institute, Yale University, 200 South Frontage Rd., SHM C-303, 06510, New Haven, CT, USA
          https://ror.org/03v76x132 Department of Psychiatry, Yale School of Medicine, 300 George St., Suite 901, 06511, New Haven, CT, USA
          https://ror.org/0569bbe51 Connecticut Mental Health Center, 34 Park St, 06519, New Haven, CT, USA
          https://ror.org/04xyxjd90 School of Social Sciences, Nottingham Trent University, NG1 4BU, Nottingham, UK
          https://ror.org/00xqf8t64 Faculty of Nursing, Universitas Padjadjaran, 45363, West Java, Indonesia
          https://ror.org/01b8kcc49 Biostatistics Consulting Center, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, 701, Tainan, Taiwan
          https://ror.org/01b8kcc49 Department of Occupational Therapy, College of Medicine, National Cheng Kung University, 701, Tainan, Taiwan
      su:
        Hong Kong (China)
        Taiwan
        Internet addiction
        Psychometrics
        College students
        Taiwanese people
        Test validity
        Hongkongers
      sug:
        subj:
          Internet addiction
          Psychometrics
          College students
          Hong Kong (China)
          Taiwan
          Taiwanese people
          Test validity
          Hongkongers
      keyword:
        Factor analysis
        Internet use disorder
        Medical and Health Sciences Public Health and Health Services
        Problematic internet use
        Psychometric validation
        Social media
        Videogames
        Factor analysis
        Internet use disorder
        Medical and Health Sciences Public Health and Health Services
        Problematic internet use
        Psychometric validation
        Social media
        Videogames
      ab: The Assessment of Criteria for Specific Internet-use Disorder (ACSID-11) is a psychometric instrument assessing different types of problematic internet use. The aim of the present study was to assess the psychometric properties of the traditional Chinese version and evaluate whether the traditional Chinese version showed similar and robust psychometric evidence to that of original ACSID-11 using a German sample. The present study was longitudinal and comprised 1257 university students in the first study and 409 university students in the follow-up study. Cronbach's α and McDonald's ω were used for testing internal consistency of the ACSID-11. A confirmatory factor analysis (CFA) was conducted to examine construct validity. Multi-group CFA was performed to assess the invariance of the factor structure across region and sex. Moreover, Pearson correlations were conducted to examine the test–retest reliability and concurrent validity of ACSID-11. The results suggested satisfactory levels of test–retest reliability, internal consistency, and validity of the ACSID-11. The four-factor structure of the ACSID-11 was replicated and confirmed in both Taiwan and Hong Kong samples. The study findings demonstrated that the traditional Chinese version of the ACSID-11 is reliable and valid for assessing and distinguishing specific internet-use disorders and is applicable across regions and sexes among emerging adults in Taiwan and Hong Kong.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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