Cao, C-h, Liao, X-l, Gamble, JH, Li, L-l, Jiang, X-Y, Li, X-D, Griffiths, MD ORCID: https://orcid.org/0000-0001-8880-6524, Chen, I-H and Lin, C-Y, 2023. Evaluating the psychometric properties of the Chinese Depression Anxiety Stress Scale for Youth (DASS-Y) and DASS-21. Child and Adolescent Psychiatry and Mental Health, 17: 106. ISSN 1753-2000
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Abstract
Background: In recognizing the need for a reliable and valid instrument to assess psychological distress among children and adolescents, the present study translated the newly developed Depression Anxiety Stress Scale for Youth (DASS-Y) into Chinese, while also comparing its psychometric properties with those of the well-established DASS-21 within a primary and middle school demographic.
Methods: Utilizing a combination of convenience sampling and purposive sampling, a cohort comprising 1,507 primary and 1,131 middle school students was recruited. Rasch analysis, confirmatory factor analysis (CFA), and structural equation modeling (SEM) were used in the data analysis.
Results: Significant differences were observed between the DASS-Y and the DASS-21, notably within the anxiety subscale. The proportions of individuals with clinical mood disorders identified by the two scales demonstrated a significant disparity. Both scales, following an adjustment of responses, exhibited satisfactory internal consistency and convergent validity, with the acceptance of a three-factor structure. Furthermore, the DASS-Y showed superior discriminant validity relative to the DASS-21, providing more compelling evidence regarding concurrent validity.
Conclusion: Overall, the Chinese version of the DASS-Y demonstrated superior robustness to the DASS-21 in terms of psychometric properties. The findings provide initial evidence for the psychometric properties of the DASS-Y from another culture.
Item Type: | Journal article |
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Publication Title: | Child and Adolescent Psychiatry and Mental Health |
Creators: | Cao, C.-H., Liao, X.-L., Gamble, J.H., Li, L.-L., Jiang, X.-Y., Li, X.-D., Griffiths, M.D., Chen, I.-H. and Lin, C.-Y. |
Publisher: | Springer Science and Business Media LLC |
Date: | 7 September 2023 |
Volume: | 17 |
ISSN: | 1753-2000 |
Identifiers: | Number Type 10.1186/s13034-023-00655-2 DOI 1798520 Other |
Rights: | © The Author(s) 2023 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
Divisions: | Schools > School of Social Sciences |
Record created by: | Jeremy Silvester |
Date Added: | 08 Sep 2023 15:02 |
Last Modified: | 08 Sep 2023 15:02 |
URI: | https://irep.ntu.ac.uk/id/eprint/49669 |
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