A Quantitative Method for the Analysis of Nomothetic Relationships between Idiographic Structures: Dynamic Patterns Create Attractor States for Sustained Posttreatment Change

Fisher, A.J., Newman, M.G., & Molenaar, P.C. (2011). A quantitative method for the analysis of nomothetic relationships between idiographic structures. Journal of Consulting and Clinical Psychology 79(4), 552-563. doi:10.1037/a0024069

12 Pages Posted: 29 Jan 2015 Last revised: 8 May 2019

See all articles by Aaron Fisher

Aaron Fisher

University of California, Berkeley

Michelle G. Newman

Pennsylvania State University - Department of Psychology

Peter Molenaar

Pennsylvania State University

Date Written: 2011

Abstract

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.

Keywords: Anxiety Disorders, therapy, Cognitive Therapy, methods, cognitive behavioral therapy, CBT, dynamic systems theory, variability, flexibility

Suggested Citation

Fisher, Aaron and Newman, Michelle G. and Molenaar, Peter, A Quantitative Method for the Analysis of Nomothetic Relationships between Idiographic Structures: Dynamic Patterns Create Attractor States for Sustained Posttreatment Change (2011). Fisher, A.J., Newman, M.G., & Molenaar, P.C. (2011). A quantitative method for the analysis of nomothetic relationships between idiographic structures. Journal of Consulting and Clinical Psychology 79(4), 552-563. doi:10.1037/a0024069, Available at SSRN: https://ssrn.com/abstract=2556571

Aaron Fisher (Contact Author)

University of California, Berkeley ( email )

310 Barrows Hall
Berkeley, CA 94720
United States

Michelle G. Newman

Pennsylvania State University - Department of Psychology ( email )

University Park, PA
United States

Peter Molenaar

Pennsylvania State University ( email )

University Park
State College, PA 16802
United States

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