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.

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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
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article

Psychometric Properties for the Malay Version of the Assessment of Criteria for Specific Internet-use Disorders among Young Adults in Malaysia

Serene En Hui Tung, Kah Heng Chua, Yan-Li Siaw, Siti Rahayu Nadhiroh et al.
8 citations
Asian Journal of Social Health and Behavior
Impact of Technology on Adolescents
33.61
article

Psychometric Properties for the Malay Version of the Assessment of Criteria for Specific Internet-use Disorders among Young Adults in Malaysia

Serene En Hui Tung, Kah Heng Chua, Yan-Li Siaw, Siti Rahayu Nadhiroh, Ira Nurmala, Servet Üztemur, Wai Chuen Poon, Wan Ying Gan, Chung‐Ying Lin, I‐Hua Chen, Kamolthip Ruckwongpatr, Mark D. Griffiths
article en
8 citations

Abstract

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.

Asian Journal of Social Health and BehaviorVol. 8(3)
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)
Openalex Percentile: Top 0%
Impact of Technology on Adolescents
33.61
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