Equilibria in Personality States: A Conceptual Primer for Dynamical Analyses
Equilibria in Personality States: A Conceptual Primer for Dynamical Analyses
复制标题
人格状态的平衡：动态分析的概念入门
DOI：
10.31234/osf.io/72dvx
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
M. Mehl
中科院分区：
文献类型：
--
作者：
Alexander F. Danvers;Richard Wundrack;M. Mehl
我们提供了一个基本的，一步一步的介绍动态系统建模的核心概念和数学基础，通过应用变化作为结果模型，一个简单的动态系统模型，人格状态数据。该模型描述了人格状态相对于平衡点的变化，估计吸引子及其在时间序列数据中的强度。使用人格和人际角色（PAIRS）研究的数据，我们发现，平均状态与吸引子位置高度相关，但与吸引子强度弱相关，这表明强度提供了分布摘要未捕获的额外信息。然后，我们讨论如何采取动态系统的方法来人格状态也需要一个理论转变。人格状态的动态系统分析强调的是由相互的、持续的交互作用所产生的特征模式，而不是强调划分特征和状态变量。改变作为结果模型还允许以更微妙的方式概念化重大生活变化后人格发展的影响，分离重大变化后对特征状态的影响以及人们如何被吸引到这些状态（弹性的一个方面）。估计这个模型演示了核心动力学原理，并提供了定量的基础措施的“排斥”的人格状态和“矛盾”的人格结构。补充材料：https://osf.io/dps4w。
We provide a basic, step-by-step introduction to the core concepts and mathematical fundamentals of dynamic systems modeling through applying the Change as Outcome model, a simple dynamical systems model, to personality state data. This model characterizes changes in personality states with respect to equilibrium points, estimating attractors and their strength in time series data. Using data from the Personality and Interpersonal Roles (PAIRS) study, we find that mean state is highly correlated with attractor position but weakly correlated with attractor strength, suggesting strength provides added information not captured by summaries of the distribution. We then discuss how taking a dynamic systems approach to personality states also entails a theoretical shift. Instead of emphasizing partitioning trait and state variance, dynamic systems analyses of personality states emphasize characterizing patterns generated by mutual, ongoing interactions. Change as outcome modeling also allows for the effects of personality development after significant life changes to be conceptualized in more nuanced ways, separating effects on characteristic states after the significant change and how people are drawn towards those states (an aspect of resiliency). Estimating this model demonstrates core dynamics principles and provides quantitative grounding for measures of “repulsive” personality states and “ambivert” personality structures. Supplementary materials: https://osf.io/dps4w.