Psychometric Properties for the Malay Version of the Assessment of Criteria for Specific Internet-use Disorders among Young Adults in Malaysia
Introduction: Problematic internet use (PIU) can present itself in a variety of online activities. Given the increasing prevalence of PIU among young adults, there is a dearth of comprehensive assessment tools to characterize various PIU in Malaysia. The 11-item Assessment of Criteria for Specific Internet-use Disorders (ACSID-11) assesses specific PIU including online gaming, online buying-shopping, online pornography use, social networking use, and online gambling. The present study investigated the psychometric properties of the Malay ACSID-11. Methods: A cross-sectional study using an online survey was used for the data collection. The sample comprised 610 young adults aged 22.55 years (standard deviation ± 3.49). Participants were recruited from July 2023 to September 2023 using convenience sampling. Results: The confirmatory factor analysis findings supported the four-factor structure of the Malay ACSID-11 across gender, ethnicity, and academic achievement with good fit statistics: comparative fit index (CFI) ≥ 0.968, Tucker-Lewis index (TLI) ≥ 0.949, root mean square error of approximation (RMSEA) ≥ 0.057, standardized root mean square residual (SRMR) ≥ 0.028 (frequency response); CFI ≥ 0.968, TLI ≥ 0.958, RMSEA ≥ 0.079, SRMR ≥ 0.033 (intensity response). The different online subscales (except for some of the ACSID-11 online gambling subscales) showed good internal consistency (Cronbach’s α and McDonald’s ω between 0.58 and 0.90 for frequency responses; Cronbach’s α and McDonald’s ω between 0.61 and 0.93 for intensity responses). Conclusion: The Malay ACSID-11 is a valid and reliable instrument for assessing various specific PIU among Malaysian young adults. However, caution is required using the ACSID-11 to assess online gambling because some of its subscales had low internal consistency.
Authors
- Serene En Hui Tung (ORCID: https://orcid.org/0000-0001-9122-7523)
- Kah Heng Chua (ORCID: https://orcid.org/0000-0002-8429-9059)
- Yan-Li Siaw (ORCID: https://orcid.org/0000-0002-2815-4867)
- Siti Rahayu Nadhiroh (ORCID: https://orcid.org/0000-0002-2870-6094)
- Ira Nurmala (ORCID: https://orcid.org/0000-0001-6930-8204)
- Servet Üztemur (ORCID: https://orcid.org/0000-0002-1580-9123)
- Wai Chuen Poon (ORCID: https://orcid.org/0000-0003-1258-3576)
- Wan Ying Gan (ORCID: https://orcid.org/0000-0002-9016-3414)
- Chung‐Ying Lin (ORCID: https://orcid.org/0000-0002-2129-4242)
- I‐Hua Chen (ORCID: https://orcid.org/0000-0001-6999-6406)
- Kamolthip Ruckwongpatr (ORCID: https://orcid.org/0000-0002-8096-9721)
- Mark D. Griffiths
Institutions
- INTI International University (MY)
- Universiti Putra Malaysia (MY)
- Anadolu University (TR)
- Qufu Normal University (CN)
- Universitas Airlangga (ID)
- University of Malaya (MY)
- Eskişehir City Hospital (TR)
- National Cheng Kung University Hospital (TW)
- Nottingham Trent University (GB)
- IMU University (MY)
- Sunway University (MY)
- National Cheng Kung University (TW)
Publication Details
- Journal
- Asian Journal of Social Health and Behavior
- Published
- 2025-05-30
- DOI
- https://doi.org/10.4103/shb.shb_171_24
- Citations
- 8
- Primary Topic
- Impact of Technology on Adolescents
- Type
- article
- Field-Weighted Citation Impact
- 33.61