Caspi Avshalom, Houts Renate M, Fisher Helen L, Danese Andrea, Moffitt Terrie E
Department of Psychology & Neuroscience, Duke University.
PROMENTA, Department of Psychology, University of Oslo.
Clin Psychol Sci. 2024 Jan;12(1):53-82. doi: 10.1177/21677026221147872. Epub 2023 May 3.
Over the past 10 years, the general factor of psychopathology, p, has attracted interest and scrutiny. We review the history of the idea that all mental disorders share something in common, p; how we arrived at this idea; and how it became conflated with a statistical representation, the Bi-Factor Model. We then leverage the Environmental Risk (E-Risk) longitudinal twin study to examine the properties and nomological network of different statistical representations of p. We find that p performed similarly regardless of how it was modelled, suggesting that if the sample and content are the same the resulting p factor will be similar. We suggest that the meaning of p is not to be found by dueling over statistical models but by conducting well-specified criterion-validation studies and developing new measurement approaches. We outline new directions to refresh research efforts to uncover what all mental disorders have in common.
在过去10年里,精神病理学的一般因素p引起了人们的兴趣和审视。我们回顾了所有精神障碍都有某些共同之处这一观点(即p)的历史;我们是如何得出这一观点的;以及它是如何与一种统计表征——双因素模型——混为一谈的。然后,我们利用环境风险(E-Risk)纵向双胞胎研究来检验p的不同统计表征的属性和法则网络。我们发现,无论p是如何建模的,其表现都相似,这表明如果样本和内容相同,所得出的p因素也会相似。我们认为,p的意义不是通过争论统计模型来发现的,而是通过进行明确的标准验证研究和开发新的测量方法来发现的。我们概述了新的方向,以重振研究工作,揭示所有精神障碍的共同之处。