在人格轨迹周围的人体内的纵向变化
Amanda J Wright1, Joshua J Jackson2
1Department of Psychology, University of Zurich.
Journal of personality and social psychology
|June 6, 2024
概括
个体的个性发展有很大的差异,人内变异性 (sigma) 的差异与平均个性特征一样重要. 这种异质性预测健康结果,挑战传统的线性模型.
科学领域:
- 心理学 心理学 心理学
- 发展心理学 发展心理学
- 人格科学 人格科学 人格科学
背景情况:
- 已建立的研究确定了整个生命周期的平均人格发展模式.
- 这些规范性模式可能会过度简化个体的发展轨迹.
- 需要新的指标来捕捉个性发展中的个人差异.
研究的目的:
- 使用纵向数据检查个性发展中的个体差异.
- 为了研究人格轨迹周围的人内变异性 (sigma) 的异质性.
- 评估西格玛对健康状况的个体差异的预测效用.
主要方法:
- 利用来自不同国家的五个大型纵向数据集 (N=128,345).
- 采用混合效应的位置尺度模型来量化个人内部的变化 (sigma).
- 检查了sigma,发育共变量和健康结果之间的关联.
主要成果:
- 在五大个性特征中发现了人内变异性 (sigma) 的显著异质性.
- 西格玛异质性的大小与平均特征水平 (拦截) 和变化率 (斜率) 相当或超过.
- 西格玛的个体差异与关键的发育因素和强有力的预测健康状况有关.
结论:
- 在人格发展过程中,个体内部的变化是实质性的,有效的,并且在实践中是显著的.
- 传统的线性模型不能充分代表个体的发展途径.
- 纳入像西格玛这样的个人差异指标应该成为人格发展研究的标准.
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