The Development of a Comprehensive Coding System for Evaluating Insight Based on a Clinical Interview: The SUIP-I Coding System

Lirit Yaffe-Herbst, Maya Joffe, Galit Peysachov, Aviv Nof, Mary Beth Connolly Gibbons, Paul Crits-Christoph, Sigal Zilcha-Mano

Research output: Contribution to journalArticlepeer-review


Gaining insight is considered a cornerstone of psychodynamic psychotherapy. Existing tools used to measure insight mainly include patients' self-report questionnaires and external coding of therapy sessions. To expand on the available tools, the present study developed a comprehensive coding system for the Self-Understanding of Interpersonal Patterns Scales-Interview (SUIP-I; Gibbons & Crits-Christoph, 2017). A total of 55 patients enrolled in a randomized controlled trial received psychodynamic psychotherapy for depression and were interviewed using the SUIP-I at baseline. A comprehensive coding system was developed for rating the interviews, based on a Likert scale for each of the six levels of insight. The content validity, psychometric properties, and the reliability and validity of the coding system were examined. The new SUIP-I coding system demonstrated interrater reliability in the "excellent" range, ICC (1, 1) = .91-.97, for all the six levels, and adequate internal consistency (Cronbach's α = .81). Support for convergent validity was gained, as manifested in a significant positive association of the SUIP-I with alliance expectation and affiliation, and a significant negative association with avoidance attachment. Support for discriminant validity was also gained, as manifested in a weak, nonsignificant association between the SUIP-I and self-esteem. The proposed comprehensive coding system shows good initial reliability and validity. Research is needed to further establish the psychometric properties of the new SUIP-I coding system. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Original languageEnglish
Pages (from-to)225-230
Number of pages6
Issue number2
StatePublished - 2023

Bibliographical note

Publisher Copyright:
© 2023 American Psychological Association


  • Humans
  • Psychometrics
  • Psychotherapy, Psychodynamic
  • Reproducibility of Results
  • Self Concept
  • Surveys and Questionnaires


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