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Comparing the Nomological Networks of the Big Five and HEXACO Models

机译:比较大五分和六十次型号的批判性网络

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Omnibus assertions whether the Big Five (B5) or HEXACO models are "better" fall short. We argue it is more important to determine their (boundaries of) usefulness and propose a nomological network approach (NNA) to systematically compare trait structure models in a common framework. We illustrate how the NNA can be deployed to address several objections mentioned by Ashton and Lee's (2020a) target article. Further, we outline how the NNA may provide conceptual clarity and facilitate the integration of personality dimensions outside the five-factor space. (C) 2020 European Association of Personality Psychology
机译:omnibus断言是否伟大的五(b5)或六曲模型是“更好”的跌倒。 我们认为确定其(边界)有用,并提出了一个批判性网络方法(NNA)以系统地比较共同框架中的特质结构模型。 我们说明了如何部署NNA,以解决Ashton和Lee(2020A)目标文章提到的若干异议。 此外,我们概述了NNA如何提供概念清晰度,并促进人格尺寸在五因素空间之外的整合。 (c)2020欧洲人格心理学协会

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