Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/27340
Title: Psychometric properties and latent profile analysis of the Nursing Brand Image Scale: a methodological study in the Chinese context
Authors: Zhou L.
Ni Z.
Godsey J.A.
Sukpasjaroen K.
Wu Y.M.
Liu G.
Chankoson T.
Kallmeyer R.
Cai E.L.
Keywords: Brand Image of Nursing
China
Instrument Translation
Nurses
Psychometric Properties
Issue Date: 2022
Publisher: BioMed Central Ltd
Abstract: Aims: To translate the U.S. version of the Nursing Brand Image Scale to Chinese (NBIS-C) and evaluate its psychometric properties when administered to a national sample of Chinese nurses, and identify nursing brand image profiles in Chinese nurses. Design: A cross-sectional study was conducted to validate the NBIS-C among nurses in China. Methods: The psychometric properties of the NBIS-C were tested in accordance with the COSMIN checklist. The reliability, validity, and responsiveness of the 42-item NBIS-C were examined in a national sample of 759 nurses recruited from 29 Chinese provinces. Latent Profile Analyses (LPA) were conducted to reveal nurses’ perceptions of the brand image of nursing. Results: Results of this study demonstrated acceptable validity (content validity, structural validity, and construct validity), reliability (internal consistency and test-retest reliability), adequate responsiveness, and no floor/ceiling effect of the NBIS-C. LPA yielded five subgroups: Integrated, Traditional, Subordinate, Creative and Leader. Conclusion: The psychometric properties of the NBIS-C are suitable for assessing the image of nursing among Chinese nurses. Future studies with a larger, more diverse sample are recommended. Although the role of nurses in China has evolved, nurses in general have failed to communicate a consistent, positive, and accurate brand image for the nursing profession. © 2022, The Author(s).
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138533876&doi=10.1186%2fs12912-022-00975-2&partnerID=40&md5=44f5ced92ae79927b1c01a0074e44bf8
https://ir.swu.ac.th/jspui/handle/123456789/27340
ISSN: 14726955
Appears in Collections:Scopus 2022

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