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The study of the validity and reliability of the Occupational Self-Assessment-traditional Chinese version. | LitMetric

AI Article Synopsis

  • Health professionals in mental healthcare must balance objective assessments with a client-focused approach, prompting a study on the Traditional Chinese version of the Occupational Self-Assessment (TC-OSA).
  • The study involved 593 participants with mental illnesses and utilized confirmatory factor analysis and the Rasch measurement model to evaluate the scale's validity and reliability.
  • Results indicated that TC-OSA consists of four domains: self-performance, self-habituation, self-volition, and environment, with most items fitting well in the Rasch model, although the environment domain requires further refinement.

Article Abstract

Introduction: Health professionals who work in mental healthcare settings need to use standardised, objective instruments; however, it is also extremely important that they maintain a client-focused perspective. The purpose of this study was to investigate the validity and reliability of the 'Traditional Chinese version of the Occupational Self-Assessment' (TC-OSA).

Methods: A total of 593 participants with mental illnesses participated in the study. The data were analysed using confirmatory factor analysis as well as the Rasch measurement model.

Results: The results of our analysis revealed that the TC-OSA encompasses four domains: self-performance (11 items), self-habituation (5 items), self-volition (5 items) and environment (8 items). Most of the items within each domain were found to have a good fit with the Rasch measurement model, whereas the CFA index was found to have a good fit for only three of the domains, the one exception being the environment domain.

Conclusions: We suggest applying the scale in clinical practice to identify the priority of intervention and as a measure for changes in outcomes. Further development and refinement of the environmental domain is guaranteed.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8008370PMC
http://dx.doi.org/10.1177/1569186120930300DOI Listing

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