This study reports the most comprehensive assessment to date of the relations that the domains and facets of Big Five and HEXACO personality have with self-reported subjective well-being (SWB: life satisfaction, positive affect, and negative affect) and psychological well-being (PWB: positive relations, autonomy, environmental mastery, purpose in life, self-acceptance, and personal growth). It presents a meta-analysis (n = 334,567, k = 462) of the correlations of Big Five and HEXACO personality domains with the dimensions of SWB and PWB. It provides the first meta-analysis of personality and well-being to examine (a) HEXACO personality, (b) PWB dimensions, and (c) a broad range of established Big Five measures. It also provides the first robust synthesis of facet-level correlations and incremental prediction by facets over domains in relation to SWB and PWB using 4 large data sets comprising data from prominent, long-form hierarchical personality frameworks: NEO PI-R (n = 1,673), IPIP-NEO (n = 903), HEXACO PI-R (n = 465), and Big Five Aspect Scales (n = 706). Meta-analytic results highlighted the importance of Big Five neuroticism, extraversion, and conscientiousness. The pattern of correlations between Big Five personality and SWB was similar across personality measures (e.g., BFI, NEO, IPIP, BFAS, Adjectives). In the HEXACO model, extraversion was the strongest well-being correlate. Facet-level analyses provided a richer description of the relationship between personality and well-being, and clarified differences between the two trait frameworks. Prediction by facets was typically around 20% better than domains, and this incremental prediction was larger for some well-being dimensions than others. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

中文翻译：

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从人格预测心理和主观幸福感：一项荟萃分析。

这项研究报告了迄今为止对五巨头和HEXACO人格的领域和方面与自我报告的主观幸福感（生活满意度，正面影响和负面影响）和心理幸福感之间的关系的最全面评估（工作计划和预算：积极关系，自治，对环境的掌握，生活目标，自我接受和个人成长）。它提供了一个大五和HEXACO人格域与SWB和PWB尺寸的相关性的荟萃分析（n = 334,567，k = 462）。它提供了关于人格和幸福感的第一个荟萃分析，以研究（a）HEXACO人格，（b）PWB尺寸，以及（c）广泛的既定的五大指标。它还通过使用4个大型数据集（包括来自著名的长格式分层人格框架的数据）提供了关于SWB和PWB的各个方面的方面，从而对方面级别的相关性和增量预测进行了第一个强大的综合：NEO PI-R（n = 1,673 ），IPIP-NEO（n = 903），HEXACO PI-R（n = 465）和5大比例尺（n = 706）。荟萃分析结果突显了五大神经质，外向性和尽责性的重要性。在人格测度（例如BFI，NEO，IPIP，BFAS，形容词）中，五人格与SWB之间的相关模式相似。在HEXACO模型中，外向性是最强的幸福感相关因素。方面层面的分析对人格与幸福感之间的关系提供了更丰富的描述，并阐明了两个特质框架之间的差异。通过方面进行的预测通常比领域要好20％左右，对于某些幸福维度，此增量式预测要比对其他维度的预测大。（PsycINFO数据库记录（c）2020 APA，保留所有权利）。