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15-07-2024

Assessment of psychometric performance for the Chinese version of the Brief Inventory of Perceived Stress integrating exploratory graph analysis and confirmatory factor analysis

Auteurs: Runtang Meng, Chen Jiang, Daniel Yee Tak Fong, Igor Portoghese, Yihong Zhu, Karen Spruyt, Haiyan Ma

Gepubliceerd in: Quality of Life Research | Uitgave 9/2024

Abstract

Objective

This study was to evaluate measurement properties of the Chinese version of the Brief Inventory of Perceived Stress (BIPS-C) and confirm possible solutions for measuring the constructs underlying perceived stress.

Methods

A total of 1356 community residents enrolled and were randomly split into two halves. The first half was used to explore the underlying constructs of the BIPS-C by exploratory graph analysis (EGA) and the second half was used to compare and confirm the constructs by confirmatory factor analysis (CFA).

Results

The EGA identified a one-factor model of the BIPS-C with an accuracy of 99.3%. One-factor, three-factor, second-order, and bifactor models were compared by CFAs. The bifactor model with one general and three specific factors was found to be the most adequate [comparative fit index (CFI) = 0.990; Tucker-Lewis index (TLI) = 0.979; root mean square error of approximation (RMSEA) = 0.058] and was superior to the other models. The related bifactor indices showed a stronger existence of the general factor. The bifactor model of the BIPS-C also showed adequate internal consistency with McDonald’s omega and omega subscales ranging from moderate to strong (0.677–0.869).

Conclusion

The BIPS-C demonstrates sufficient measurement properties for assessing general perceived stress.

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Titel: Assessment of psychometric performance for the Chinese version of the Brief Inventory of Perceived Stress integrating exploratory graph analysis and confirmatory factor analysis
Auteurs: Runtang Meng
Chen Jiang
Daniel Yee Tak Fong
Igor Portoghese
Yihong Zhu
Karen Spruyt
Haiyan Ma
Publicatiedatum: 15-07-2024
Uitgeverij: Springer International Publishing
Gepubliceerd in: Quality of Life Research / Uitgave 9/2024
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-024-03681-5

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