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首页> 外文期刊>Journal of personality and social psychology >Linear and Nonlinear Associations Between General Intelligence and Personality in Project TALENT
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Linear and Nonlinear Associations Between General Intelligence and Personality in Project TALENT

机译：人才项目中一般智力与人格之间的线性和非线性联系

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Research on the relations of personality traits to intelligence has primarily been concerned with linear associations. Yet, there are no a priori reasons why linear relations should be expected over nonlinear ones, which represent a much larger set of all possible associations. Using 2 techniques, quadratic and generalized additive models, we tested for linear and nonlinear associations of general intelligence (g) with 10 personality scales from Project TALENT (PT), a nationally representative sample of approximately 400,000 American high school students from 1960, divided into 4 grade samples (Flanagan et al., 1962). We departed from pievious studies, including one with PT (Reeve, Meyer, & Bonaccio, 2006), by modeling latent quadratic effects directly, controlling the influence of the common factor in the personality scales, and assuming a direction of effect from g to personality. On the basis of the literature, we made 17 directional hypotheses for the linear and quadratic associations. Of these, 53% were supported in all 4 male grades and 58% in all 4 female grades. Quadratic associations explained substantive variance above and beyond linear effects (mean R2 between 1.8% and 3.6%) for Sociability, Maturity, Vigor, and Leadership in males and Sociability, Maturity, and Tidiness in females; linear associations Were predominant for other traits. We discuss how suited current theories of the personalityintelligence interface are to explain these associations, and how research on intellectually gifted samples may provide a unique way of understanding them. We conclude that nonlinear models can provide incremental detail regarding personality and intelligence associations.
机译：人格特质与智力之间关系的研究主要涉及线性关联。但是，没有先验的理由可以预期线性关系要优于非线性关系，因为非线性关系代表了所有可能关联的更大集合。我们使用二次和广义加性模型这两种技术，通过TALENT项目（PT）的10个性格量表，测试了一般智力（g）的线性和非线性关联，该项目是1960年以来约40万美国高中生的全国代表样本，分为4个等级的样品（Flanagan等，1962）。通过直接建模潜在的二次效应，控制人格量表中公因子的影响，并假设从g到人格的作用方向，我们与以往的研究（包括PT研究（Reeve，Meyer和Bonaccio，2006年））不同。 。在文献的基础上，我们为线性和二次关联做出了17个方向性假设。其中，所有4个男性年级中有53％得到支持，所有4个女性年级中有58％得到了支持。二次联想解释了男性社交能力，成熟度，活力和领导力以及女性社交能力，成熟度和整齐度超出线性效应（平均R2在1.8％和3.6％之间）的实质差异。线性关联主要表现在其他特征上。我们讨论了人格智能界面的当前理论如何解释这些关联，以及对智力有天赋的样本的研究如何为理解它们提供了独特的方式。我们得出结论，非线性模型可以提供有关人格和智力关联的增量细节。

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