Rasch analysis of the Chinese version of the clinically useful depression outcome scale in patients with major depressive disorder
BMC Psychology, ISSN: 2050-7283, Vol: 11, Issue: 1, Page: 218
2023
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Article Description
Objective: To examine the psychometric properties of the Chinese version of the Clinically Useful Depression Outcome Scale (CUDOS) in the Chinese patients with major depressive disorder (MDD) using Rasch analysis. Methods: The sample consisted of 283 patients with MDD (69% females). The Rasch model was applied to examine the overall fit of the Chinese version of CUDOS and the fit of the 18 items. Dimensionality, item-model fit, differential item functioning (DIF), reliability, ordering of response category and targeting were tested to examine the psychometric properties of the Chinese version of CUDOS. Results: Rasch analysis demonstrated the unidimensionality of the Chinese version of CUDOS. Of the 18 items, three items (item 4, item 5, item 6) showed misfit in the model. After merging item 4 into item 3 and item 6 into item 5, the overall model fit improved. The person separation index (PSI) was 3.0 and the person reliability coefficient was 0.90. No evidence of significant DIF was found when associated with gender and age. No disordered category and threshold of the rating response were observed, which meant the response category setting was reasonable. The mean ability of person was − 0.53. Conclusion: The results suggested that the Chinese version of CUDOS has acceptable psychometric properties. In order to improve the quality and applicability of the Chinese version of CUDOS, the merging of item 4 into item 3 and item 6 into item 5 are suggested.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85166398513&origin=inward; http://dx.doi.org/10.1186/s40359-023-01255-7; http://www.ncbi.nlm.nih.gov/pubmed/37533105; https://bmcpsychology.biomedcentral.com/articles/10.1186/s40359-023-01255-7; https://dx.doi.org/10.1186/s40359-023-01255-7
Springer Science and Business Media LLC
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