Evidence map›Paper›PMID 40069793›Full record

ArticleBMC nursing2025

Psychometric properties of the Chinese version of the Quiet Quitting Scale.

Duo Zhang, Haoyang Zheng, Ying Zeng, Xiaoyan Yu, Ya Zhao, Yong Gan, Xichen Chai, Wencan Cheng, Zelin Chen, Yanrong Zhou

Abstract read
In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Duo ZhangDepartment of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Haoyang ZhengDepartment of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Ying ZengDepartment of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Xiaoyan YuDepartment of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Ya ZhaoDepartment of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Yong GanDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Xichen ChaiDepartment of Traditional Chinese Medicine, Peking University Third Hospital, Beijing, China.
Wencan ChengSchool of Nursing, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Zelin ChenDepartment of Virology, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka, Japan.
Yanrong ZhouDepartment of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China. 1002406585@qq.com.

Funding

Chinese Medical Association Publishing House CMAPH-NRI2022063Huazhong University of science and technology 2023C09Huazhong University of Science and Technology 2024D30Huazhong University of Science and Technology HL202309Hubei Provincial Health Commission WJ2023M007
6 · The paper itself

Abstract

backgroundThe phenomenon of quiet quitting has attracted considerable attention within the nursing community. Elevated quiet quitting levels can weaken the work environment, reducing healthcare efficiency and quality. However, appropriate assessment tools to measure this phenomenon remain unavailable in China. This study aimed to translate the Quiet Quitting Scale into Chinese and evaluate its psychometric properties.

methodsThe Brislin translation model was used to translate the Quiet Quitting Scale into Chinese. A total of 420 nurses were recruited from hospitals in Central China. Item analysis was conducted using the Critical Rate, correlation coefficient, and internal consistency methods. Reliability was evaluated through internal consistency, split-half reliability, and test-retest reliability. The content validity of the Chinese version was assessed using the Delphi method. Exploratory factor analysis and confirmatory factor analysis were performed to evaluate the construct validity of the Chinese version. Data were analyzed using SPSS 29.0 and Mplus 8.0 software.

resultsThe Chinese version of the Quiet Quitting Scale demonstrated robust content validity (S-CVI/Ave: 0.989, CVR:0.800-1.000). The three-factors model was obtained by using exploratory factor analysis, explaining 77.93%, and confirmatory factor analysis supported acceptable construct validity (χ2/df = 2.224, CFI = 0.963, TLI = 0.945, RMSEA = 0.077). Additionally, the scale demonstrated a Cronbach's α of 0.856, split-half reliability was 0.921, test-retest reliability was 0.851, and McDonald's Omega was 0.887.

conclusionsThe Chinese version of the Quiet Quitting Scale (QQS) demonstrated strong reliability and validity, making it a valuable tool for assessing quiet quitting behaviors among nurses in both clinical and managerial contexts. This scale can help identify at-risk individuals and support the development of targeted interventions aimed at improving work quality and efficiency. Future research should assess the scale's applicability across various healthcare settings and its long-term impact.

Indexed as

NursesPsychometric propertiesQuiet Quitting ScaleReliabilityValidity

Identifiers

PMID40069793
PMCPMC11900426

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.