The general factor of psychopathology (p): Choosing among competing models and interpreting p.

IF 5.4 3区 材料科学 Q2 CHEMISTRY, PHYSICAL ACS Applied Energy Materials Pub Date : 2024-01-01 Epub Date: 2023-05-03 DOI:10.1177/21677026221147872
Avshalom Caspi, Renate M Houts, Helen L Fisher, Andrea Danese, Terrie E Moffitt
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Abstract

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.

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精神病理学的一般因素(p):在相互竞争的模型中做出选择并解释 p。
在过去的 10 年中,精神病理学的一般因素 p 引起了人们的兴趣和关注。我们回顾了所有精神障碍都有共同点 p 这一观点的历史;我们是如何得出这一观点的;以及这一观点是如何与双因素模型这一统计表征相混淆的。然后,我们利用环境风险(E-Risk)纵向双生子研究来检验 p 的不同统计表示法的特性和命名网络。我们发现,无论如何建模,p 的表现都很相似,这表明如果样本和内容相同,得出的 p 因子也会相似。我们认为,p 的含义并不是通过统计模型的对决来发现的,而是通过开展规范的标准验证研究和开发新的测量方法来发现的。我们概述了新的研究方向,以重新揭示所有精神障碍的共同点。
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来源期刊
ACS Applied Energy Materials
ACS Applied Energy Materials Materials Science-Materials Chemistry
CiteScore
10.30
自引率
6.20%
发文量
1368
期刊介绍: ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.
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