Literature DB >> 31078344

Measurement invariance across young adults from Hong Kong and Taiwan among three internet-related addiction scales: Bergen Social Media Addiction Scale (BSMAS), Smartphone Application-Based Addiction Scale (SABAS), and Internet Gaming Disorder Scale-Short Form (IGDS-SF9) (Study Part A).

Hildie Leung1, Amir H Pakpour2, Carol Strong3, Yi-Ching Lin4, Meng-Che Tsai5, Mark D Griffiths6, Chung-Ying Lin7, I-Hua Chen8.   

Abstract

Internet addiction has been found to be prevalent worldwide, including Asian countries, and related to several negative outcomes and other behavioral addictions. The Bergen Social Media Addiction Scale (BSMAS), Smartphone Application-Based Addiction Scale (SABAS), and nine-item Internet Gaming Disorder Scale-Short Form (IGDS-SF9) have been extensively used to assess internet-related addictions. However, the three aforementioned instruments have rarely been used in Asian countries. The aim of the present study was to investigate whether the BSMAS, SABAS, and IGDS-SF9 were appropriate for use in heterogeneous subsamples from Hong Kong and Taiwan. University students from Hong Kong (n = 306) and Taiwan (n = 336) were recruited via an online survey. Multigroup confirmatory factor analysis (MGCFA) was used to assess measurement invariance of the BSMAS, SABAS, and IGDS-SF9 across the two subcultures. The original unidimensional structures of BSMAS, SABAS and IGDS-SF9 were confirmed through confirmatory factorial analysis in both subcultures. The MGCFA results showed that the unidimensional structures of the BSMAS and IGDS-SF9 were invariant across the two Chinese cultural areas (Hong Kong and Taiwan). However, the measurement invariance of the SABAS was established after some model modifications. In conclusion, the present study found that the Chinese BSMAS, SABAS, and IGDS-SF9 were all adequate instruments to validly assess internet-related addictions among university students. The three brief instruments used for assessing addictions to social media, smartphone applications, and online gaming are valid and psychometrically robust across two Chinese subcultures and can be used by healthcare professionals in these regions.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Keywords:  Chinese; Internet gaming disorder; Measurement invariance; Smartphone addiction; Social media addiction

Year:  2019        PMID: 31078344     DOI: 10.1016/j.addbeh.2019.04.027

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  41 in total

1.  Measurement Invariance of the Bergen Social Media Addiction Scale Across Genders.

Authors:  Heng Yue; Xuemin Zhang; Xiangjuan Cheng; Bo Liu; Hugejiletu Bao
Journal:  Front Psychol       Date:  2022-06-21

2.  Psychometric properties of the Slovenian version of Internet Disorder Scale-IDS-15.

Authors:  Mark Žmavc; Halley M Pontes; Mark D Griffiths; Špela Selak
Journal:  PLoS One       Date:  2022-10-21       Impact factor: 3.752

3.  Psychometric Properties of Three Simplified Chinese Online-Related Addictive Behavior Instruments Among Mainland Chinese Primary School Students.

Authors:  I-Hua Chen; Daniel Kwasi Ahorsu; Amir H Pakpour; Mark D Griffiths; Chung-Ying Lin; Chao-Ying Chen
Journal:  Front Psychiatry       Date:  2020-09-03       Impact factor: 4.157

4.  A longitudinal study of the effects of problematic smartphone use on social functioning among people with schizophrenia: Mediating roles for sleep quality and self-stigma.

Authors:  Kun-Chia Chang; Yun-Husan Chang; Cheng-Fang Yen; Jung-Sheng Chen; Po-Jen Chen; Chung-Ying Lin; Mark D Griffiths; Marc N Potenza; Amir H Pakpour
Journal:  J Behav Addict       Date:  2022-04-07       Impact factor: 7.772

5.  Reciprocal Relationships Between Problematic Social Media Use, Problematic Gaming, and Psychological Distress Among University Students: A 9-Month Longitudinal Study.

Authors:  Ching-Wen Chang; Ru-Yi Huang; Carol Strong; Yi-Ching Lin; Meng-Che Tsai; I-Hua Chen; Chung-Ying Lin; Amir H Pakpour; Mark D Griffiths
Journal:  Front Public Health       Date:  2022-04-08

6.  Clarification of the Cut-off Score for Nine-Item Internet Gaming Disorder Scale-Short Form (IGDS9-SF) in a Chinese Context.

Authors:  Lixia Qin; Limei Cheng; Maorong Hu; Qiaosheng Liu; Jianqin Tong; Wei Hao; Tao Luo; Yanhui Liao
Journal:  Front Psychiatry       Date:  2020-05-25       Impact factor: 4.157

Review 7.  Addictive Features of Social Media/Messenger Platforms and Freemium Games against the Background of Psychological and Economic Theories.

Authors:  Christian Montag; Bernd Lachmann; Marc Herrlich; Katharina Zweig
Journal:  Int J Environ Res Public Health       Date:  2019-07-23       Impact factor: 3.390

8.  Mediated roles of generalized trust and perceived social support in the effects of problematic social media use on mental health: A cross-sectional study.

Authors:  Chung-Ying Lin; Peyman Namdar; Mark D Griffiths; Amir H Pakpour
Journal:  Health Expect       Date:  2020-11-30       Impact factor: 3.377

9.  Psychological Pathway from Obesity-Related Stigma to Depression via Internalized Stigma and Self-Esteem among Adolescents in Taiwan.

Authors:  Chung-Ying Lin; Meng-Che Tsai; Chih-Hsiang Liu; Yi-Ching Lin; Yi-Ping Hsieh; Carol Strong
Journal:  Int J Environ Res Public Health       Date:  2019-11-11       Impact factor: 3.390

10.  Relationships between Severity of Internet Gaming Disorder, Severity of Problematic Social Media Use, Sleep Quality and Psychological Distress.

Authors:  Hiu Yan Wong; Hoi Yi Mo; Marc N Potenza; Mung Ni Monica Chan; Wai Man Lau; Tsz Kwan Chui; Amir H Pakpour; Chung-Ying Lin
Journal:  Int J Environ Res Public Health       Date:  2020-03-13       Impact factor: 3.390

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