Emotional Intelligence and Transformation in Analytical Psychology: A Case Study.

  • Published In: Journal of Analytical Psychology, 2025, v. 70, n. 2. P. 217 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Pellitteri, John 3 of 3

Abstract

Emotions are evident in Jung's work with regard to feeling‐toned complexes and the feeling function in psychological types as well as in the clinical processes of therapeutic change and transformation. Emotional Intelligence (EI) is an empirically‐grounded theory that involves a set of abilities for working with emotions, allowing the patient to unlock the inherent wisdom and meaning that emotions convey. EI can be embedded in analytical psychology and other dynamic‐oriented therapies as an approach for engaging with emotionally charged material. The four EI abilities include the perception, facilitation, understanding and management of emotions. The emotion‐management ability is particularly necessary during a client's confrontations with the unconscious. The case of a woman with Dissociative Identity Disorder in Jungian psychotherapy is examined from an EI perspective. A series of active imagination activities in the clinical encounter is presented, outlining the transformation of imagery that accompanies the individuation process. The case illustrates the use of EI strategies to attenuate the over‐powering effect of complexes in the service of building ego strength. There is also emphasis on the importance of transference and the therapeutic container in this process of building EI capacity. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Analytical Psychology. 2025/04, Vol. 70, Issue 2, p217
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2025
  • ISSN:0021-8774
  • DOI:10.1111/1468-5922.13085
  • Accession Number:184225332
  • Copyright Statement:Copyright of Journal of Analytical Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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