A Quantitative Method for the Analysis of Nomothetic Relationships Between Idiographic Structures: Dynamic Patterns Create Attractor States for Sustained Posttreatment Change
A Quantitative Method for the Analysis of Nomothetic Relationships Between Idiographic Structures: Dynamic Patterns Create Attractor States for Sustained Posttreatment Change
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DOI：
10.1037/a0024069
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发表时间：
2011-08-01
影响因子：
5.9
通讯作者：
Molenaar, Peter C. M.
中科院分区：
文献类型：
--
作者：
Fisher, Aaron J.;Newman, Michelle G.;Molenaar, Peter C. M.
目的：本文旨在证明，在心理治疗过程中建立动态模式可以创造吸引子状态，以便在治疗结束后继续适应性变化。方法：本研究是对T. D. Borkovec和E. Costello（1993年）。在原始研究的55名参与者中，由于这些参与者之间的心理治疗结果的同质性，有33名参与者被保留用于本分析。在这33例患者中，大多数为白色（88%）和女性（70%），平均年龄为35.44岁（SD = 14.46）。参与者参加了12周的认知行为疗法或应用放松。对治疗期间的每日日记条目进行时间序列分析，以确定个体动态系统中存在的有序与无序程度。然后将这些具体数据汇总，通过线性混合效应模型进行治疗结局的规则分析。结果如下：每日三次日记数据中每日至每日内振荡导致的谱功率显著缓和了治疗后随访期间的可靠变化，因此较小的功率预测了1年随访期间可靠变化的增加。此外，动态因子模型的残差方差显着缓和了斜率的变化在后续期间，这样较小的方差，从而更大的顺序在动态系统预测增加可靠的变化。结论：在治疗过程中建立的动态系统的程度作为一个自适应吸引子状态，促进治疗结束后1年继续积极的收益。本研究是心理治疗动力系统研究的一个重要创新。
Objective: The present article aimed to demonstrate that the establishment of dynamic patterns during the course of psychotherapy can create attractor states for continued adaptive change following the conclusion of treatment. Method: This study is a secondary analysis of T. D. Borkovec and E. Costello (1993). Of the 55 participants in the original study, 33 were retained for the present analysis due to the homogeneity of psychotherapy outcome among these participants. Of these 33, the majority were White (88%) and female (70%), and the average age was 35.44 years (SD = 14.46). Participants participated in 12 weeks of either cognitive behavioral therapy or applied relaxation. Daily diary entries from the treatment period were subjected to time series analyses in order to determine the degree of order versus disorder present within individual dynamic systems. These idiographic data were then aggregated for nomothetic analysis of treatment outcome via linear mixed effect models. Results: Spectral power due to daily to intradaily oscillations in thrice-daily diary data significantly moderated reliable change over posttreatment follow-up such that lesser power predicted increases in reliable change over the 1-year follow-up period. Additionally, residual variance for dynamic factor models significantly moderated the slope for change over the follow-up period, such that lesser variance-and thus greater order in dynamic systems-predicted increases in reliable change. Conclusions: The degree of order in dynamic systems established during therapy acted as an adaptive attractor state, promoting continued positive gains 1 year after the conclusion of therapy. The present study represents an important innovation in the study of dynamic systems in psychotherapy.