7 项游戏成瘾量表（GAS）在中国大学生群体中的心理测量学特性和测量不变性。
Psychometric properties and measurement invariance of the 7-item game addiction scale (GAS) among Chinese college students.
机构信息
School of Public Health, Shanghai Jiao Tong University School of Medicine, No 227 S Chongqing Road, Shanghai, 200025, China.
Department of Industrial Education, National Taiwan Normal University, Taipei, Taiwan.
出版信息
BMC Psychiatry. 2020 Oct 2;20(1):484. doi: 10.1186/s12888-020-02830-7.
BACKGROUND
The 7-item Gaming Addiction Scale (GAS) has been used as a screening tool for addictive game use worldwide, and this study aimed to examine its psychometric properties and measurement invariance among college students in China.
METHODS
Full-time students from multiple colleges in China were recruited. A total of 1040 completed questionnaires were used in the final analysis. Reliability of the GAS was assessed by internal consistency and split-half reliability. Validity of the GAS was assessed by structural validity, convergent validity, discriminant validity, and concurrent validity. A series of Multigroup Confirmatory Factor Analysis (MG-CFA) were conducted to test and establish measurement invariance across gender, class standing, family income and parental educational level.
RESULTS
Exploratory factor analysis revealed a unidimensional structure of the GAS. The GAS exhibited excellent internal consistency (Cronbach's α = 0.951, theta coefficient = 0.953, omega coefficient = 0.959) and structural validity (χ /df = 0.877 (p < 0.05), CFI = 0.999, TIL = 0.996, RMSEA =0.000). Concurrent validity of the GAS was confirmed by its correlation with problematic internet use, sleep quality, nine dimensions of psychiatric symptoms, and substance use. The GAS also demonstrated measurement invariance across father's educational level (Δχ2 (df) = 19.128 (12), ΔCFI = - 0.009, ΔRMSEA = 0.010 for weak factorial model; Δχ2 (df) = 50.109 (42), ΔCFI = - 0.010, ΔRMSEA = 0.007 for strict factorial model.) and mother's educational level (Δχ2 (df) = 6.679 (12), ΔCFI = 0.007, ΔRMSEA = - 0.010 for weak factorial model; Δχ2 (df) =49.131 (42), ΔCFI = - 0.009, ΔRMSEA = - 0.004 for strict factorial model), as well as partial measurement invariance across gender (except for item 2), class standing (except for item 7) and family income (except for item 5).
CONCLUSIONS
The Chinese version of the 7-item GAS can be an adequate assessment tool to assess internet gaming disorder among the college student population in China.
背景
7 项游戏成瘾量表（GAS）已被全球用作成瘾性游戏使用的筛查工具，本研究旨在检验其在中国大学生中的心理测量学特性和测量不变性。
方法
从中国多所高校招募全日制学生。最终分析共使用了 1040 份完整的问卷。GAS 的信度通过内部一致性和半分可靠性进行评估。GAS 的效度通过结构效度、聚合效度、判别效度和同时效度进行评估。进行了一系列多群组验证性因素分析（MG-CFA），以测试和建立跨性别、班级地位、家庭收入和父母教育水平的测量不变性。
结果
探索性因素分析显示 GAS 具有单一维度结构。GAS 表现出优异的内部一致性（Cronbach's α=0.951，theta 系数=0.953，omega 系数=0.959）和结构效度（χ/df=0.877（p<0.05），CFI=0.999，TLI=0.996，RMSEA=0.000）。GAS 与网络问题使用、睡眠质量、精神病症状的九个维度和物质使用的相关性证实了其同时效度。GAS 还在父亲的教育水平（Δχ2(df)=19.128(12)，ΔCFI=-0.009，ΔRMSEA=0.010 为弱因子模型；Δχ2(df)=50.109(42)，ΔCFI=-0.010，ΔRMSEA=0.007 为严格因子模型）和母亲的教育水平（Δχ2(df)=6.679(12)，ΔCFI=0.007，ΔRMSEA=-0.010 为弱因子模型；Δχ2(df)=49.131(42)，ΔCFI=-0.009，ΔRMSEA=-0.004 为严格因子模型）方面以及在性别（除项目 2 外）、班级地位（除项目 7 外）和家庭收入（除项目 5 外）方面的部分测量不变性方面表现出测量不变性。
结论
7 项 GAS 中文版可作为评估中国大学生网络游戏障碍的充分评估工具。
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