Evidence map›Paper›PMID 41699750›Full record

ArticleBMC psychology2026

The development and psychometric evaluation of a nursing professional resilience scale in China.

Yajing Xian, Xianhong Li, Fangqun Cheng, Yan Liang, Lizhen Liu, Yunfan Li, Sulan Lin, Vivian Xi Wu

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Article in BMC psychology, 2026. 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yajing XianXiangya School of Nursing, Central South University, Changsha, Hunan, China.
Xianhong LiXiangya School of Nursing, Central South University, Changsha, Hunan, China. xianhong_li@csu.edu.cn.
Fangqun ChengDepartment of Nursing, Xiangtan Central Hospital, Xiangtan, Hunan, China.
Yan LiangDepartment of Nursing, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China.
Lizhen LiuHunan Traditional Chinese Medical College, Zhuzhou, Hunan, China.
Yunfan LiXiangya School of Nursing, Central South University, Changsha, Hunan, China.
Sulan LinSchool of Nursing, Xinjiang Medical University, Urumqi, Xinjiang, China.
Vivian Xi WuAlice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Level 2, Clinical Research Centre, Level 2, Block MD 11, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProfessional resilience, rather than career resilience, is an important attribute for nurses’ retention in the profession. The concept of nursing professional resilience has just been clarified through a grounded theory study, but the evaluating scale was still lacking. PURPOSE: To develop and evaluate the psychometric properties of a nursing professional resilience scale (NPRS).

methodThis study was conducted in accordance with DeVellis’s guidelines for scale development. The initial items were adopted from qualitative interviews and previous psychological/career resilience scales. The revised scale was tested via a sample of 479 nurses and refined through expert review and factor analysis. Content validity was evaluated by five experts; construct validity was explored through exploratory factor analysis and confirmed via confirmatory factor analysis. Convergent and discriminant validity were investigated, and reliability was assessed using Cronbach’s α coefficient, split-half reliability, and test-retest reliability.

resultsThe final scale comprised 19 items distributed across five dimensions: positive personality traits (4 items), professional adaptability (3 items), interpersonal quotient (6 items), perceived support (3 items), and impervious to public opinion (3 items). Content validity was determined to be 0.98. The goodness-of-fit indices (χ2/df = 291.2/141, RMSEA = 0.071, NFI = 0.893, TLI = 0.929, CFI = 0.941, RFI = 0.870, IFI = 0.942) indicated a reasonable fit for the model. AVE values of the factors were calculated at between 0.563 and 0.684, CR2 values between 0.796 and 0.885 and MSV values between 0.754 and 0.825. The Cronbach’s α coefficient, split-half reliability coefficient, and test-retest reliability coefficient were 0.938, 0.885, and 0.946 for the overall scale.

conclusionsThe Nursing Professional Resilience Scale exhibited good reliability and validity when applied to Chinese nurses. This study provides a valid measurement instrument for subsequent research related to nurses’ mental health, career development education, and resilience-related policy development in Chinese healthcare context. The external validity could be examined in future large-scale studies.

Indexed as

NursesPsychometricsResilience, PsychologicalAdultChinaFemaleHumansMaleMiddle AgedReproducibility of ResultsSurveys and QuestionnairesClinical nursesInstrument developmentNursing professional resiliencePsychometric evaluation

Identifiers

PMID41699750
PMCPMC13014781

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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.