Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/7999
Title: | Psychometric evaluation of the Hong Kong Chinese version of the Dissociative Experiences Measure, Oxford (HKC-DEMO) |
Authors: | Dr. NG Sin-Ying, Albe Chan, Wai Sze |
Issue Date: | 2023 |
Source: | Journal of Trauma & Dissociation, 2023, Vol. 24(3), pp. 321-332. |
Journal: | Journal of Trauma & Dissociation |
Abstract: | The Dissociative Experiences Measure, Oxford (DEMO) is a recently developed measure that reflects the current conceptualization of dissociation. However, psychometric investigations of the DEMO are still limited. The current study examined the factor structure and psychometric properties of the Hong Kong Chinese version of the DEMO (HKC-DEMO). Online survey data on 914 community-dwelling adults in Hong Kong was extracted from a primary preregistered study on sleep and dissociation. Confirmatory factor analyses revealed that a five-factor structure, identified as “unreality,” “numbness and disconnectedness,” “memory blanks,” “zoned out,” and “vivid internal world,” fit the data adequately. The five-factor structure fit significantly better than a four-factor structure, which combined “zoned out” and “vivid internal world” as a single factor of “absorption.” Furthermore, the HKC-DEMO demonstrated excellent reliability, and satisfactory convergent, and divergent validity. The current study was the first to translate the DEMO to other language and showed that the HKC-DEMO is reliable and valid for use in Hong Kong Chinese adults. Further validation of the HKC-DEMO with a clinical sample and samples with a wider age range would enhance the generalizability of the HKC-DEMO. |
Type: | Peer Reviewed Journal Article |
URI: | http://hdl.handle.net/20.500.11861/7999 |
ISSN: | 1529-9732 1529-9740 |
DOI: | 10.1080/15299732.2023.2171173 |
Appears in Collections: | Counselling and Psychology - Publication |
Find@HKSYU Show full item record
Page view(s)
41
Last Week
0
0
Last month
checked on Dec 20, 2024
Google ScholarTM
Impact Indices
Altmetric
PlumX
Metrics
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.