Department of Applied Psychology, Zurich University of Applied Sciences, Zurich, Switzerland.
Addict Behav. 2023 Oct;145:107764. doi: 10.1016/j.addbeh.2023.107764. Epub 2023 Jun 8.
Fournier and colleagues have recently examined whether the components model of addiction includes peripheral features of addiction not indicative of a disorder. The authors conducted factor analyses and network analyses of responses (N = 4,256) to the Bergen Social Media Addiction Scale. Their results showed that a bidimensional solution best fitted the data and that two items examining salience and tolerance loaded on a factor not associated with symptoms of psychopathology signifying salience and tolerance as peripherical features of addiction to social media. A reanalysis of the data (focused on the internal structure of the scale) was believed necessary considering that previous studies consistently demonstrated the one-factor solution of the scale and that four independent samples were analysed as a single sample potentially limiting the results of the original study. Findings of the reanalyses of Fournier and colleagues' data provided additional support for a one-factor solution of the scale. Potential explanations of the findings and suggestions for future research were elaborated.
Fournier 和同事们最近研究了成瘾的成分模型是否包括不表明障碍的成瘾的外围特征。作者对 Bergen 社交媒体成瘾量表的反应（N=4256）进行了因素分析和网络分析。他们的结果表明，双维度解决方案最适合数据，并且两个检查突出性和耐受性的项目加载在与精神病理学症状无关的因素上，这表明突出性和耐受性是社交媒体成瘾的外围特征。考虑到之前的研究一致表明该量表的单因素解决方案，并且四个独立的样本作为单个样本进行分析，这可能限制了原始研究的结果，因此有必要重新分析该数据（专注于量表的内部结构）。对 Fournier 等人数据的重新分析结果为该量表的单因素解决方案提供了额外的支持。详细阐述了对这些发现的潜在解释和对未来研究的建议。
