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多客户心理治疗的多元动态系统模型。

A multivariate dynamic systems model for psychotherapy with more than one client.

机构信息

Department of Psychology, University of Utah.

出版信息

J Couns Psychol. 2017 Nov;64(6):616-625. doi: 10.1037/cou0000238.

DOI:10.1037/cou0000238
PMID:29154574
Abstract

The dynamics of the give and take between therapist and client(s) is frequently of interest to therapy process researchers. Characterizing the ways that therapists respond to clients and clients respond to therapists can be challenging in therapeutic encounters involving a single therapist and a single client. The complexity of this challenge increases as the number of people involved in a therapeutic encounter increases not only because there are more people responding to one another but also because the patterns of responding can become more complex. This manuscript demonstrates how dyadic cross-lagged panel models can be extended to psychotherapeutic encounters involving 3 people and used to test processes that exist between dyadic subsets of the larger group as well as the group as one cohesive unit. Three hundred seventy-nine talk turns of fundamental frequency from a couple therapy session were modeled using 3 dyadic cross-lagged panel models, and each individual's respiratory sinus arrhythmia (RSA) was treated as a moderator. Although the regression coefficients for each dyadic subset (e.g., therapist-husband) were nonsignificant, an eigenvalue/eigenvector decomposition of the regression coefficients from the 3 dyadic cross-lagged panel models suggests that interdependence exists at the level of the whole group (i.e., therapist-husband-wife) rather than between pairs of individuals within the group (e.g., husband-wife). Further, an interaction involving husband's RSA suggested that interdependence involving the husband ceased when the husband displayed greater regulatory effort. This combination of statistical methods allows for clearly distinguishing between dyadic therapeutic processes and group-level therapeutic processes. (PsycINFO Database Record

摘要

治疗师和客户(们)之间的互动动态经常是治疗过程研究人员感兴趣的。描述治疗师对客户的反应方式和客户对治疗师的反应方式在涉及单个治疗师和单个客户的治疗接触中可能具有挑战性。随着治疗接触中涉及的人数增加,这种挑战的复杂性不仅会增加,因为相互回应的人数增加,而且因为回应的模式也会变得更加复杂。本文展示了如何将二元交叉滞后面板模型扩展到涉及 3 人的心理治疗接触中,并用于测试存在于较大群体的二元子集中以及作为一个有凝聚力的整体的过程。使用 3 个二元交叉滞后面板模型对夫妻治疗会议中的 379 个基频谈话回合进行建模,并且将每个人的呼吸窦性心律失常(RSA)视为一个调节剂。尽管每个二元子集(例如,治疗师-丈夫)的回归系数没有统计学意义,但 3 个二元交叉滞后面板模型的回归系数的特征值/特征向量分解表明,相互依存存在于整个群体(即治疗师-丈夫-妻子)的水平上,而不是群体内的个体对(例如,丈夫-妻子)。此外,涉及丈夫 RSA 的相互作用表明,当丈夫表现出更大的调节努力时,涉及丈夫的相互依存关系就会停止。这种统计方法的组合允许清楚地区分二元治疗过程和群体水平治疗过程。

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