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心理治疗中的人格发展:一种状态-特质动态的协同模型。

Personality development in psychotherapy: a synergetic model of state-trait dynamics.

作者信息

Schöller Helmut, Viol Kathrin, Aichhorn Wolfgang, Hütt Marc-Thorsten, Schiepek Günter

机构信息

1Institute of Synergetics and Psychotherapy Research, Paracelsus Medical University, Salzburg, Austria.

2Department of Psychology, Ludwig Maximilians University, Munich, Germany.

出版信息

Cogn Neurodyn. 2018 Oct;12(5):441-459. doi: 10.1007/s11571-018-9488-y. Epub 2018 Jun 4.

Abstract

Theoretical models of psychotherapy not only try to predict outcome but also intend to explain patterns of change. Studies showed that psychotherapeutic change processes are characterized by nonlinearity, complexity, and discontinuous transitions. By this, theoretical models of psychotherapy should be able to reproduce these dynamic features. Using time series derived from daily measures through internet-based real-time monitoring as empirical reference, we earlier presented a model of psychotherapy which includes five state variables and four trait variables. In mathematical terms, the traits modulate the shape of the functions which define the nonlinear interactions between the variables (states) of the model. The functions are integrated into five coupled nonlinear difference equations. In the present paper, we model how traits (dispositions or competencies of a person) can continuously be altered by new experiences and states (cognition, emotion, behavior). Adding equations that link states to traits, this model not only describes how therapeutic interventions modulate short-term change and fluctuations of psychological states, but also how these can influence traits. Speaking in terms of Synergetics (theory of self-organization in complex systems), the states correspond to the order parameters and the traits to the control parameters of the system. In terms of psychology, trait dynamics is driven by the states-i.e., by the concrete experiences of a client-and creates a process of personality development at a slower time scale than that of the state dynamics (separation of time scales between control and order parameter dynamics).

摘要

心理治疗的理论模型不仅试图预测治疗结果,还旨在解释变化模式。研究表明,心理治疗的变化过程具有非线性、复杂性和不连续转变的特点。因此,心理治疗的理论模型应该能够再现这些动态特征。我们利用通过基于互联网的实时监测从日常测量中得出的时间序列作为实证参考,较早前提出了一个心理治疗模型,该模型包括五个状态变量和四个特质变量。从数学角度来看,特质调节着定义模型变量(状态)之间非线性相互作用的函数的形状。这些函数被整合到五个耦合的非线性差分方程中。在本文中,我们构建了一个模型,用以描述特质(一个人的性格倾向或能力)如何通过新的经历和状态(认知、情感、行为)不断发生改变。通过添加将状态与特质联系起来的方程,该模型不仅描述了治疗干预如何调节心理状态的短期变化和波动,还描述了这些变化如何影响特质。用协同学(复杂系统中的自组织理论)的术语来说,状态对应于系统的序参量,特质对应于系统的控制参量。从心理学角度而言,特质动态是由状态驱动的——即由来访者的具体经历驱动——并在比状态动态更慢的时间尺度上创造了一个人格发展过程(控制参量和序参量动态之间的时间尺度分离)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c0d/6139101/93cd32ace759/11571_2018_9488_Fig1_HTML.jpg

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