Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic, 3811 O'Hara St., Pittsburgh, PA 15213, USA.
Personal Disord. 2012 Apr;3(2):107-26. doi: 10.1037/a0025905. Epub 2011 Nov 7.
Mounting evidence suggests that several inventories assessing both normal personality and personality disorders measure common dimensional personality traits (i.e., Antagonism, Constraint, Emotional Instability, Extraversion, and Unconventionality), albeit providing unique information along the underlying trait continuum. We used Widiger and Simonsen's (2005) pantheoretical integrative model of dimensional personality assessment as a guide to create item pools. We then used Item Response Theory (IRT) to compare the assessment of these five personality traits across three established dimensional measures of personality: the Schedule for Nonadaptive and Adaptive Personality (SNAP), the Temperament and Character Inventory (TCI), and the Revised NEO Personality Inventory (NEO PI-R). We found that items from each inventory map onto these five common personality traits in predictable ways. The IRT analyses, however, documented considerable variability in the item and test information derived from each inventory. Our findings support the notion that the integration of multiple perspectives will provide greater information about personality while minimizing the weaknesses of any single instrument.
越来越多的证据表明，有几种评估正常人格和人格障碍的量表都测量了共同的维度人格特质（即对抗性、约束性、情绪不稳定性、外向性和非常规性），尽管在潜在特质连续体上提供了独特的信息。我们使用 Widiger 和 Simonsen（2005）的泛理论综合维度人格评估模型作为指导来创建项目池。然后，我们使用项目反应理论（IRT）来比较这五个人格特质在三个已建立的人格维度量表中的评估：非适应和适应人格量表（SNAP）、气质和性格量表（TCI）和修订版大五人格量表（NEO PI-R）。我们发现，每个量表的项目都以可预测的方式映射到这五个常见的人格特质上。然而，IRT 分析记录了每个量表中项目和测试信息的相当大的可变性。我们的研究结果支持了这样一种观点，即整合多种观点将提供更多关于人格的信息，同时最大限度地减少任何单一工具的弱点。
