Evidence map›Paper›PMID 39008142›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2024

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

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

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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Runtang MengSchool of Public Health, Hangzhou Normal University, No. 2318, Yuhangtang Rd, Yuhang District, Hangzhou, 311121, Zhejiang, China. mengruntang@hznu.edu.cn.ORCID http://orcid.org/0000-0002-5826-5576
Chen JiangSchool of Public Health, Hangzhou Normal University, No. 2318, Yuhangtang Rd, Yuhang District, Hangzhou, 311121, Zhejiang, China.
Daniel Yee Tak FongSchool of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Igor PortogheseDepartment of Medical Sciences and Public Health, University of Cagliari, Monserrato, Cagliari, Italy.
Yihong ZhuSchool of Clinical Medicine, Hangzhou Normal University, Hangzhou, Zhejiang, China.
Karen SpruytUniversité Paris Cité, NeuroDiderot, INSERM, Paris, France.
Haiyan MaSchool of Public Health, Hangzhou Normal University, No. 2318, Yuhangtang Rd, Yuhang District, Hangzhou, 311121, Zhejiang, China.

Funding

Medical Research Fund of Zhejiang Province Grant No. 2023RC073Research Initiation Fund of Hangzhou Normal University Grant No. RWSK20201003
6 · The paper itself

Abstract

objectiveThis 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.

methodsA 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).

resultsThe 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).

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

Indexed as

PsychometricsStress, PsychologicalAdultAgedChinaFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedReproducibility of ResultsSurveys and QuestionnairesYoung AdultBrief Inventory of Perceived StressCommunity residentsConfirmatory factor analysisExploratory graph analysisMeasurement properties

Identifiers

PMID39008142

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.