a Department of Psychological Sciences , Purdue University.
J Pers Assess. 2019 Jan-Feb;101(1):16-24. doi: 10.1080/00223891.2017.1413382. Epub 2018 Feb 1.
Although there has been widespread consensus on the use of the Five-Factor Model (FFM) of general personality functioning in personality research, there are various, diverse models of the lower order traits of the FFM domains. Given the usefulness of these finer grained traits, it is imperative to integrate facets proposed across a variety of models and eventually reach consensus on the lower level traits of the FFM. Due to its depth and coverage, the Abridged Big Five-Dimensional Circumplex (AB5C) model potentially provides a useful framework for organizing various faceted models due to its conceptual organization and inclusiveness. The only measure of this model-the IPIP-AB5C-has shown promise, but is limited by its length (i.e., 485 items). This study developed an abbreviated version of the IPIP-AB5C using an iterative process including item response theory methods. The shorter version maintained key features of the long form including a factor structure that matched the full form as well as facets that correlated in expected ways with other FFM measures. Building on this support, the short form was used to contextualize and organize the facets from 2 commonly used measures.
虽然人们普遍认同在人格研究中使用五因素模型(FFM)来描述一般人格功能,但 FFM 各领域的下位特质存在着各种不同的模型。鉴于这些更精细特质的有用性,将各种模型中提出的特质整合起来,并最终就 FFM 的下位特质达成共识是至关重要的。由于 AB5C 模型具有深度和广度,因此其概念组织和包容性使其成为组织各种特质模型的有用框架。该模型的唯一测量工具——IPIP-AB5C 具有很大的潜力,但由于其长度(即 485 个项目)而受到限制。本研究使用迭代过程,包括项目反应理论方法,开发了 IPIP-AB5C 的缩写版本。较短的版本保留了长版本的关键特征,包括与长版本结构相匹配的因素结构,以及以预期方式与其他 FFM 测量结果相关联的特质。在此基础上,短版被用来从两种常用的测量工具中对特质进行情境化和组织。