Quantitative naturalistic methods for detecting change points in psychotherapy research: An illustration with alliance ruptures

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 an...

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Bibliographic Details
Published in:Psychotherapy research 2012-11, Vol.22 (6), p.621-637
Main Authors: Eubanks-Carter, Catherine, Gorman, Bernard S., Muran, J. Christopher
Format: Article
Language:English
Subjects:
alliance
Alliances
Humans
Process Assessment (Health Care) - methods
process research
Professional-Patient Relations
Psychotherapeutic Processes
Psychotherapy
Psychotherapy - methods
Research Design
statistical methodology
Statistical methods
Statistics as Topic - methods
Studies
Treatment Outcome
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Summary: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.
ISSN:1050-3307
1468-4381
DOI:10.1080/10503307.2012.693772