This study assessed change in self‐reported Big Five personality traits. We conducted a coordinated integrative data analysis using data from 16 longitudinal samples, comprising a total sample of over 60 000 participants. We coordinated models across multiple datasets and fit identical multi‐level growth models to assess and compare the extent of trait change over time. Quadratic change was assessed in a subset of samples with four or more measurement occasions. Across studies, the linear trajectory models revealed declines in conscientiousness, extraversion, and openness. Non‐linear models suggested late‐life increases in neuroticism. Meta‐analytic summaries indicated that the fixed effects of personality change are somewhat heterogeneous and that the variability in trait change is partially explained by sample age, country of origin, and personality measurement method. We also found mixed evidence for predictors of change, specifically for sex and baseline age. This study demonstrates the importance of coordinated conceptual replications for accelerating the accumulation of robust and reliable findings in the lifespan developmental psychological sciences. © 2020 European Association of Personality Psychology

中文翻译：

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大五人格特征的轨迹：16个纵向样本的协调分析

本研究评估了自我报告的大五人格特质的变化。我们使用来自 16 个纵向样本的数据进行了协调的综合数据分析，其中包括超过 60 000 名参与者的总样本。我们跨多个数据集协调模型，并拟合相同的多级增长模型，以评估和比较性状随时间变化的程度。在具有四个或更多测量场合的样本子集中评估二次变化。在所有研究中，线性轨迹模型显示尽责性、外向性和开放性下降。非线性模型表明晚年神经质会增加。荟萃分析总结表明，性格变化的固定效应有些异质，性状变化的变异性部分由样本年龄、原籍国、和人格测量方法。我们还发现了变化预测因素的混合证据，特别是性别和基线年龄。这项研究证明了协调概念复制对于加速在生命周期发展心理学科学中积累稳健和可靠的发现的重要性。© 2020 欧洲人格心理学协会