Chen I-Hua, Ahorsu Daniel Kwasi, Pakpour Amir H, Griffiths Mark D, Lin Chung-Ying, Chen Chao-Ying
Chinese Academy of Education Big Data, Qufu Normal University, Shandong, China.
School of Education Science, Minnan Normal University, Zhangzhou, China.
Front Psychiatry. 2020 Sep 3;11:875. doi: 10.3389/fpsyt.2020.00875. eCollection 2020.
BACKGROUND/OBJECTIVE: There are inadequate screening instruments for assessing specific internet-related addictions among mainland Chinese primary school students. Therefore, the present study validated the psychometric properties of three simplified Chinese online-related addictive behavior instruments among mainland Chinese primary school students.
Fourth to sixth graders (n = 1108; 48.3% males; mean [SD] age = 10.37 years [0.95]) completed the nine-item Internet Gaming Disorder Scales-Short Form (IGDS-SF9), Bergen Social Media Addiction Scale (BSMAS), and Smartphone Application-Based Addiction Scale (SABAS) in a classroom. The factorial structures and the unidimensionality of the three scales were examined using confirmatory factor analyses (CFAs). Measurement invariance of the three scales was examined using multigroup confirmatory factor analyses (MGCFAs) across gender.
The findings demonstrated that the three scales (Cronbach's = 0.73 to 0.84) had unidimensional structure as supported by satisfactory fit indices (comparative fit index = 0.98 to 1.00). The MGCFA findings indicated that the unidimensional structures of the three scales were invariant across gender.
The findings indicate that the three simplified Chinese scales (IGDS-SF9, BSMAS, and SABAS) are valid instruments for assessing online-related addictive behaviors among mainland Chinese primary school students irrespective of their gender.
背景/目的：在中国大陆小学生中，用于评估特定网络成瘾的筛查工具不足。因此，本研究验证了三种简体中文网络相关成瘾行为工具在中国大陆小学生中的心理测量特性。
四至六年级学生（n = 1108；48.3%为男生；平均[标准差]年龄 = 10.37岁[0.95]）在课堂上完成了九项互联网游戏障碍量表简版（IGDS-SF9）、卑尔根社交媒体成瘾量表（BSMAS）和基于智能手机应用的成瘾量表（SABAS）。使用验证性因子分析（CFA）检验这三个量表的因子结构和单维性。使用多组验证性因子分析（MGCFAs）检验这三个量表在不同性别间的测量不变性。
研究结果表明，这三个量表（克朗巴哈系数 = 0.73至0.84）具有单维结构，拟合指数令人满意（比较拟合指数 = 0.98至1.00）。MGCFAs结果表明，这三个量表的单维结构在不同性别间具有不变性。
研究结果表明，这三种简体中文量表（IGDS-SF9、BSMAS和SABAS）是评估中国大陆小学生网络相关成瘾行为的有效工具，无论其性别如何。
