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三种超短互联网相关工具的时间不变性:基于智能手机应用的成瘾量表(SABAS)、卑尔根社交媒体成瘾量表(BSMAS)和九项互联网游戏障碍量表-短式(IGDS-SF9)(研究部分 B)。

Time invariance of three ultra-brief internet-related instruments: Smartphone Application-Based Addiction Scale (SABAS), Bergen Social Media Addiction Scale (BSMAS), and the nine-item Internet Gaming Disorder Scale- Short Form (IGDS-SF9) (Study Part B).

机构信息

Chinese Academy of Education Big Data, Qufu Normal University, Shandong, China.

Department of Public Health, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.

出版信息

Addict Behav. 2020 Feb;101:105960. doi: 10.1016/j.addbeh.2019.04.018. Epub 2019 Apr 20.


DOI:10.1016/j.addbeh.2019.04.018
PMID:31072648
Abstract

Given the many technological advances over the past two decades, a small minority of young people are at risk of problematic use or becoming addicted to these technologies (including activities on the internet and smartphones). Many brief psychometric scales have been developed to assess those at risk of problematic use or addiction including the six-item Smartphone Application-Based Addiction Scale [SABAS], the six-item Bergen Social Media Addiction Scale [BSMAS], and the nine-item Internet Gaming Disorder Scale-Short Form [IGDS-SF9]). However, to date, the reproducibility of these three scales has only been examined over a short period of time (e.g., two weeks), and it is unclear whether they are time invariant across a longer period (e.g., three months). Given the emergence of internet and smartphone addiction in Chinese population, the present study translated the three instruments into Chinese and recruited 640 university students (304 from Hong Kong [99 males] and 336 from Taiwan [167 males]) to complete the three scales twice (baseline and three months after baseline). Multigroup confirmatory factor analysis (MGCFA) was applied to examine the time invariance. The intraclass correlation coefficient (ICC) was used to assess the relative reliability, and the percentage of smallest real difference (SRD%) was utilized to explore the absolute reliability for the three scales. MGCFA showed that all three scales were time invariant across three months. ICC demonstrated that all the scales were satisfactory in reproducibility (0.82 to 0.94), and SRD% indicated that all the scales had acceptable measurement noise (23.8 to 29.4). In conclusion, the short, valid, reliable, and easy-to-use Chinese SABAS, BSMAS, and IGDS-SF9 show good properties across periods of three months.

摘要

在过去的二十年中,由于许多技术的进步,一小部分年轻人面临着使用这些技术出现问题或成瘾的风险(包括互联网和智能手机上的活动)。已经开发了许多简短的心理计量学量表来评估那些有出现使用问题或成瘾风险的人,包括六项目智能手机应用成瘾量表(SABAS)、六项目卑尔根社交媒体成瘾量表(BSMAS)和九项目互联网游戏障碍量表-短型(IGDS-SF9))。然而,迄今为止,这些三个量表的可重复性仅在短时间内进行了检查(例如,两周),并且尚不清楚它们在较长时间内是否是时间不变的(例如,三个月)。鉴于互联网和智能手机成瘾在中国人群中的出现,本研究将这三种工具翻译成中文,并招募了 640 名大学生(香港 304 名[99 名男性]和台湾 336 名[167 名男性]),分别在基线和基线后三个月两次完成这三种量表。多组验证性因素分析(MGCFA)用于检验时间不变性。组内相关系数(ICC)用于评估相对可靠性,最小真实差异百分比(SRD%)用于探索三个量表的绝对可靠性。MGCFA 显示,这三个量表在三个月内都是时间不变的。ICC 表明,所有三个量表的可重复性都令人满意(0.82 至 0.94),SRD% 表明,所有量表的测量噪声都可以接受(23.8 至 29.4)。总之,简短、有效、可靠且易于使用的中文 SABAS、BSMAS 和 IGDS-SF9 在三个月的时间内具有良好的特性。

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[3]
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AIMS Public Health. 2025-4-16

[4]
Mapping research on ICT addiction: a comprehensive review of Internet, smartphone, social media, and gaming addictions.

Front Psychol. 2025-5-15

[5]
Exploring the mediating role of insomnia on the nexus between social media addiction and mental health among university students.

Sci Rep. 2025-5-22

[6]
Psychometric properties and measurement invariance across gender of the Chinese version of the Smartphone Application-Based Addiction Scale (SABAS) among Chinese college students.

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[7]
Evaluating Problematic Smartphone Use Among Chinese Primary School Students Using SABAS: An IRT and Network Analysis.

Int J Methods Psychiatr Res. 2025-6

[8]
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Epidemiol Psychiatr Sci. 2025-2-19

[9]
The Impact of Cyberbullying Victimization on Internet Gaming Addiction Among College Students: The Mediating Roles of Basic Psychological Need Satisfaction and Frustration, and the Moderating Role of Parental Autonomy Support.

Psychol Res Behav Manag. 2024-12-3

[10]
Smartphone Application-Based Addiction Scale: Psychometric Evidence Across Nine Asian Regions Using Advanced Analytic Methods.

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