克朗巴赫阿尔法
验证性因素分析
心理学
比例(比率)
社会化媒体
结构方程建模
结构效度
心理健康
临床心理学
网络成瘾症
样品(材料)
心理测量学
精神科
上瘾
统计
数学
物理
化学
色谱法
量子力学
政治学
法学
作者
Hui Lei,Yaqing Huang,Ya Chai,Xiaocui Zhang
标识
DOI:10.3389/fpubh.2022.942720
摘要
Objective With the widespread use of social media, excessive use of social media may lead to problematic behaviors such as social media disorder, which has a negative impact on teenagers' mental health. Thus, it is an urgent need to provide a measurement tool to assess social media addiction in different cultures. The aim of this study was to assess the psychometric properties of the Chinese version of 27-item Social Media Disorder (SMD) Scale (developed using the diagnostic criteria of DSM-V Internet Gaming Disorder) in college students, and to verify its impact on mental health. Methods Two online surveys were conducted among a total of 1,539 Chinese college students, including 1,316 subjects in sample 1 and 223 subjects in sample 2. The discrimination, criterion validity, construct validity and reliability of the Chinese version of SMD-27 scale were examined. Results The Chinese version of SMD-27 scale showed excellent psychometric properties. The item-total correlation coefficients of the scale ranged from 0.31 to 0.56, and the item-dimension correlations of the scale ranged from 0.459 to 0.834. Findings from confirmatory factor analysis indicated a great fit of the model of the Chinese version of SMD-27, with CFI = 0.956, TLI = 0.951, RMSEA = 0.036 in sample one and CFI = 0.970, TLI = 0.967, RMSEA = 0.040 in sample two, thus confirming the second-order factor structure of the scale. The SMD-27 scale showed good internal consistency between two different samples with their respective Cronbach's alpha of 0.87 and 0.92, and good test-retest reliability over a period of 1 month. In addition, multiple regression results generally supported the impact of social media addiction on mental health. Conclusion This study provides evidence that the Chinese version of SMD-27 scale is applicable to Chinese college populations, and it is a promising tool for the study of social media addiction in China.
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