Predictors for improvement in personality functioning during outpatient psychotherapy: A machine learning approach within a psychodynamic psychotherapy sample
Abstract Background Since its introduction in the diagnostic manuals DSM-5 and ICD-11, the construct of personality functioning has gained increasing attention. However, it remains unclear which factors might predict improvement in personality functioning. Methods We examined a sample of 648 comple...
Saved in:
Main Authors: | I. Dönnhoff, D. Kindermann, S. Stahl-Toyota, J. Nowak, M. Orth, H.-C. Friederich, C. Nikendei |
---|---|
Format: | Article |
Language: | English |
Published: |
Cambridge University Press
2024-01-01
|
Series: | European Psychiatry |
Subjects: | |
Online Access: | https://www.cambridge.org/core/product/identifier/S0924933824017802/type/journal_article |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Specific and common therapeutic factors in psychodynamic psychotherapy for children and adolescents: an overview
by: Sabine Sammer-Schreckenthaler, et al.
Published: (2025-01-01) -
Silence after narratives by patients in psychodynamic psychotherapy: a conversation analytic study
by: Carolina Fenner
Published: (2024-11-01) -
Reflections on group psychotherapy
by: Tony White
Published: (2024-12-01) -
Readiness in Counseling and Psychotherapy
by: Mega Mustika, et al.
Published: (2022-09-01) -
The theory and practice of group psychotherapy /
by: Yalom, Irvin D., 1931-
Published: (1985)