Changes in personality functioning following psychotherapy: Utilizing machine learning to identify predictors in a psychodynamic psychotherapy sample

Our results suggest that in most cases improvement in personality functioning achieved during psychotherapy remains stable. In addition, the change in personality functioning following psychotherapy appears to be influenced by a multitude of small effects. It is then discussed that most of the identified predictors are associated with interpersonal relationships and experiences.

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Publication Details

Journal
Psychotherapy Research
Published
2026-02-26
DOI
https://doi.org/10.1080/10503307.2026.2621740
Primary Topic
Personality Traits and Psychology
Type
article
Field-Weighted Citation Impact
0.00
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article

Changes in personality functioning following psychotherapy: Utilizing machine learning to identify predictors in a psychodynamic psychotherapy sample

Sophia Stahl-Toyota, Maximilian Orth, David Kindermann, H.-C. Friederich et al.
Psychotherapy Research
Personality Traits and Psychology
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Changes in personality functioning following psychotherapy: Utilizing machine learning to identify predictors in a psychodynamic psychotherapy sample

Sophia Stahl-Toyota, Maximilian Orth, David Kindermann, H.-C. Friederich, Ivo Dönnhoff, C Nikendei, J Nowak
article en

Abstract

Our results suggest that in most cases improvement in personality functioning achieved during psychotherapy remains stable. In addition, the change in personality functioning following psychotherapy appears to be influenced by a multitude of small effects. It is then discussed that most of the identified predictors are associated with interpersonal relationships and experiences.

Psychotherapy Research
Heidelberg University (DE), University Hospital Heidelberg (DE)
Openalex Percentile: Top 44%
Personality Traits and Psychology
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