Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY 10461, USA.
Psychother Res. 2012;22(6):621-37. doi: 10.1080/10503307.2012.693772. Epub 2012 Jun 18.
Analysis of change points in psychotherapy process could increase our understanding of mechanisms of change. In particular, naturalistic change point detection methods that identify turning points or breakpoints in time series data could enhance our ability to identify and study alliance ruptures and resolutions. This paper presents four categories of statistical methods for detecting change points in psychotherapy process: criterion-based methods, control chart methods, partitioning methods, and regression methods. Each method's utility for identifying shifts in the alliance is illustrated using a case example from the Beth Israel Psychotherapy Research program. Advantages and disadvantages of the various methods are discussed.
心理治疗过程中的变化点分析可以增进我们对变化机制的理解。特别是，自然主义的变化点检测方法可以识别时间序列数据中的转折点或断点，从而增强我们识别和研究联盟破裂和解决的能力。本文介绍了四种用于检测心理治疗过程中变化点的统计方法：基于标准的方法、控制图方法、分区方法和回归方法。使用来自 Beth Israel 心理治疗研究计划的一个案例示例来说明每种方法在识别联盟变化方面的效用。讨论了各种方法的优缺点。
