验证性因素分析
心理学
评定量表
临床心理学
心理健康
比例(比率)
结构方程建模
突出
鉴定(生物学)
共病
网络分析
应用心理学
精神科
发展心理学
计算机科学
人工智能
机器学习
生物
物理
量子力学
植物
标识
DOI:10.1177/1359105318810113
摘要
The General Health Questionnaire-28 is a well-known symptom-based rating scale of mental health. Several studies have investigated its latent structure using confirmatory factor analysis. This study questions this approach on several substantive points, most notably the inability for symptoms to interact using confirmatory factor analysis, and argues for the use of network analysis instead. Network results demonstrate the method’s utility to improve our understanding of the rating scales’ symptom structure. Insights include a much richer understanding of comorbidity on the General Health Questionnaire-28 and the identification of particularly salient symptoms affecting the network. It yields substantive information of interest to researchers and practitioners alike.
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