Associations between personality traits and life outcomes are usually studied using the Big Five domains and, occasionally, their facets. But recent research suggests these associations may be driven by the items (reflecting personality nuances) chosen to measure these traits. Using a large dataset (N = 6126), we examined associations with 53 self-reported outcomes using domains, facets and items (markers for nuances), training and validating models in different sample partitions. Facets better predicted outcomes than domains (on average, 18.0% versus 16.6% of variance explained), but items provided the most accurate predictions (on average 20.9%). Removing domain and facet variance from items had no effect on their predictive validity, suggesting that outcome-related information was often in items' unique variances (i.e., nuance-specific). Item-based prediction also showed the highest discriminant validity. These observations, replicating previous findings, suggest that personality traits' valid associations with outcomes are often driven by narrow personality nuances.

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更精细的细节？来自五大领域、方面和细微差别的生活结果的可预测性

人格特质和生活结果之间的关联通常使用大五域来研究，偶尔也会使用它们的各个方面。但最近的研究表明，这些关联可能是由选择来衡量这些特征的项目（反映人格细微差别）驱动的。使用大型数据集 ( N = 6126），我们使用领域、方面和项目（细微差别的标记）检查了与 53 个自我报告结果的关联，在不同的样本分区中训练和验证模型。方面比领域更好地预测结果（平均 18.0% 对 16.6% 的方差解释），但项目提供了最准确的预测（平均 20.9%）。从项目中去除领域和方面的差异对其预测有效性没有影响，这表明与结果相关的信息通常存在于项目的独特差异中（即，细微差别）。基于项目的预测也显示出最高的区分效度。这些观察结果重复了之前的发现，表明人格特质与结果的有效关联通常是由狭隘的人格细微差别驱动的。