Department of Psychology.
Psychol Assess. 2018 Sep;30(9):1255-1260. doi: 10.1037/pas0000605. Epub 2018 Jun 28.
The Alternative Model for Personality Disorders (AMPD) in the , fifth edition, Section III, presents a new approach to conceptualizing personality psychopathology and diagnosing personality disorders. The (PID-5) was designed to measure Criterion B of the AMPD and is composed of 25 lower-order facet trait scales that form 5 higher-order domain trait scales. Although the PID-5 has mostly adequate to strong psychometric qualities, the lower-order factor structure of PID-5 facet scales has shown considerable variability across studies, and several PID-5 facets scales show evidence of interstitiality-the cross-loading of facets onto more than 1 domain. This interstitiality is neither unexpected nor especially problematic because complex models of personality have traits that are by nature interstitial. What is problematic, however, is that the factor loadings of these interstitial facets vary across samples, suggesting that some PID-5 facet scales are likely susceptible to sampling error and sampling variability. Moreover, the magnitude of some cross-loadings in some studies is substantive (i.e., ≥ .30). The objective of the current study was to conduct a meta-analysis of the internal structure of the PID-5 to offset potential variability associated with sampling error and gain a clearer picture of the lower-order structure of PID-5 facet scales. This was accomplished using weighted mean factor loadings of the PID-5 facet scales across 14 independent samples ( = 14,743). Results supported that the level of interstitiality decreased when multiple samples were combined, and a clearer picture of the internal structure of the PID-5 facet scales emerged. (PsycINFO Database Record
人格障碍的替代模型（AMPD）在 ，第五版，第 III 节，提出了一种新的方法来概念化人格心理病理学和诊断人格障碍。人格障碍诊断量表第五版（PID-5）旨在衡量 AMPD 的标准 B，由 25 个较低阶特质因素量表组成，形成 5 个较高阶领域特质因素量表。尽管 PID-5 具有大多数足够到较强的心理测量质量，但 PID-5 特质因素量表的较低阶因子结构在研究中表现出相当大的可变性，并且几个 PID-5 特质因素量表显示出中间性的证据——特质因素交叉加载到超过 1 个领域。这种中间性既不是意外的，也不是特别成问题的，因为人格的复杂模型具有本质上是中间性的特质。然而，有问题的是，这些中间特质因素的因子负荷在不同的样本中有所不同，这表明一些 PID-5 特质因素量表可能容易受到抽样误差和抽样变异性的影响。此外，在一些研究中，一些交叉负荷的幅度是实质性的（即 ≥.30）。本研究的目的是对 PID-5 的内部结构进行荟萃分析，以抵消与抽样误差相关的潜在可变性，并更清楚地了解 PID-5 特质因素量表的较低阶结构。这是通过在 14 个独立样本（= 14743）中使用 PID-5 特质因素量表的加权平均因子负荷来实现的。结果支持当多个样本结合时，中间性的水平降低，PID-5 特质因素量表的内部结构更加清晰。
