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Article: Validation of the Chinese version of the Perceived Stress Scale-10 integrating exploratory graph analysis and confirmatory factor analysis

TitleValidation of the Chinese version of the Perceived Stress Scale-10 integrating exploratory graph analysis and confirmatory factor analysis
Authors
KeywordsConfirmatory factor analysis
Exploratory graph analysis
Healthcare students
Longitudinal design
Perceived Stress Scale
Psychometrics
Issue Date1-Sep-2023
PublisherElsevier
Citation
General Hospital Psychiatry, 2023, v. 84, p. 191-202 How to Cite?
Abstract

Objective

The study aimed to initially assess the measurement properties of the 10-item simplified Chinese version of the Perceived Stress Scale (PSS-C-10) and as a first, assess a longitudinal measurement invariance (LMI).

Methods

A longitudinal survey was conducted with a convenient sample of healthcare students using the PSS-C-10. We assessed the PSS-C-10 mainly using composite analytical approaches, including exploratory graph analysis (EGA) and confirmatory factor analysis (CFA) to suggest the best-fit factor structure and assess measurement invariance.

Results

The EGA identified a two-factor structural solution with an accuracy of 98.6% at baseline and 100% at a 7-day follow-up. The CFA subsequently confirmed this structure, with a comparative fit index of 0.963 at baseline and 0.987 at follow-up, Tucker-Lewis index of 0.951 at baseline and 0.982 at follow-up, and root mean square error of approximation of 0.111 at baseline and 0.089 at follow-up. The LMI was supported by the goodness-of-fit indices, and their changes fell within the recommended cut-off range. Additionally, Cronbach's alpha (0.885 at baseline and 0.904 at follow-up), McDonald's omega (0.885 at baseline and 0.902 at follow-up), and an ICC value of 0.816 for 7 days demonstrated the robust reliability of the PSS-C-10.

Conclusion

The PSS-C-10 exhibited a stable two-factor structure with promising LMI and measurement properties.


Persistent Identifierhttp://hdl.handle.net/10722/331836
ISSN
2023 Impact Factor: 4.1
2023 SCImago Journal Rankings: 1.751
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorJiang, Chen-
dc.contributor.authorMa, Haiyan-
dc.contributor.authorLuo, Yi-
dc.contributor.authorFong, Daniel Yee Tak-
dc.contributor.authorUmucu, Emre-
dc.contributor.authorZheng, Huiqiu-
dc.contributor.authorZhang, Qiran-
dc.contributor.authorLiu, Xiao-
dc.contributor.authorLiu, Xiaoxue-
dc.contributor.authorSpruyt, Karen-
dc.contributor.authorMeng, Runtang-
dc.date.accessioned2023-09-21T06:59:20Z-
dc.date.available2023-09-21T06:59:20Z-
dc.date.issued2023-09-01-
dc.identifier.citationGeneral Hospital Psychiatry, 2023, v. 84, p. 191-202-
dc.identifier.issn0163-8343-
dc.identifier.urihttp://hdl.handle.net/10722/331836-
dc.description.abstract<h3>Objective</h3><p>The study aimed to initially assess the measurement properties of the 10-item <a href="https://www.sciencedirect.com/topics/medicine-and-dentistry/simplified-chinese-script" title="Learn more about simplified Chinese from ScienceDirect's AI-generated Topic Pages">simplified Chinese</a> version of the <a href="https://www.sciencedirect.com/topics/medicine-and-dentistry/perceived-stress-scale" title="Learn more about Perceived Stress Scale from ScienceDirect's AI-generated Topic Pages">Perceived Stress Scale</a> (PSS-C-10) and as a first, assess a longitudinal measurement invariance (LMI).</p><h3>Methods</h3><p>A longitudinal survey was conducted with a convenient sample of healthcare students using the PSS-C-10. We assessed the PSS-C-10 mainly using composite analytical approaches, including exploratory graph analysis (EGA) and <a href="https://www.sciencedirect.com/topics/medicine-and-dentistry/confirmatory-factor-analysis" title="Learn more about confirmatory factor analysis from ScienceDirect's AI-generated Topic Pages">confirmatory factor analysis</a> (CFA) to suggest the best-fit factor structure and assess measurement invariance.</p><h3>Results</h3><p>The EGA identified a two-factor structural solution with an accuracy of 98.6% at baseline and 100% at a 7-day follow-up. The CFA subsequently confirmed this structure, with a comparative fit index of 0.963 at baseline and 0.987 at follow-up, Tucker-Lewis index of 0.951 at baseline and 0.982 at follow-up, and root mean square error of approximation of 0.111 at baseline and 0.089 at follow-up. The LMI was supported by the goodness-of-fit indices, and their changes fell within the recommended cut-off range. Additionally, Cronbach's alpha (0.885 at baseline and 0.904 at follow-up), McDonald's omega (0.885 at baseline and 0.902 at follow-up), and an ICC value of 0.816 for 7 days demonstrated the robust reliability of the PSS-C-10.</p><h3>Conclusion</h3><p>The PSS-C-10 exhibited a stable two-factor structure with promising LMI and measurement properties.</p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofGeneral Hospital Psychiatry-
dc.subjectConfirmatory factor analysis-
dc.subjectExploratory graph analysis-
dc.subjectHealthcare students-
dc.subjectLongitudinal design-
dc.subjectPerceived Stress Scale-
dc.subjectPsychometrics-
dc.titleValidation of the Chinese version of the Perceived Stress Scale-10 integrating exploratory graph analysis and confirmatory factor analysis-
dc.typeArticle-
dc.identifier.doi10.1016/j.genhosppsych.2023.07.008-
dc.identifier.scopuseid_2-s2.0-85167616057-
dc.identifier.volume84-
dc.identifier.spage191-
dc.identifier.epage202-
dc.identifier.eissn1873-7714-
dc.identifier.isiWOS:001059489200001-
dc.identifier.issnl0163-8343-

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