Psychometric properties of the pathological dissociation measures among Chinese–a pilot study using online methods

Hong Wang Fung, Tat Ming Choi, Chitat Larry Chan, Colin A. Ross

Research output: Journal article publicationJournal articleAcademic researchpeer-review

29 Citations (Scopus)


Purpose: Pathological dissociation (PD) is an easily overlooked phenomenon in the mental health field. Standardized assessment is important for identifying dissociative symptoms and disorders. However, the use of PD measures in Chinese cultures needs investigation. This pilot study investigated the psychometric properties of three PD measures among Hong Kong Chinese. Methods: The psychometric properties of the Dissociative Experiences Scale-Taxon, the 5-item Somatoform Dissociation Questionnaire, and the Self-Report Version of the Dissociative Disorders Interview Schedule (SR-DDIS) were evaluated using online methods in Hong Kong. Results: The PD measures exhibited adequate to excellent internal consistency. The PD measures were negatively related to family support and can discriminate between participants with and without self-reported childhood abuse. There was excellent agreement between the online SR-DDIS results and the clinical diagnoses for presence of any dissociative disorder (DD) versus no DD. The DDs group scored significantly higher on PD measures than the depression group and the college student group. Discussion: The initial findings suggest that PD can be assessed online in Hong Kong. Further investigation is necessary.
Original languageEnglish
Pages (from-to)371-384
Number of pages14
JournalJournal of Evidence-Informed Social Work
Issue number4
Publication statusPublished - 4 Jul 2018


  • assessment
  • mental health
  • online methods
  • Pathological dissociation
  • validation

ASJC Scopus subject areas

  • Health(social science)
  • Social Psychology
  • Sociology and Political Science


Dive into the research topics of 'Psychometric properties of the pathological dissociation measures among Chinese–a pilot study using online methods'. Together they form a unique fingerprint.

Cite this