Evidence map›Paper›PMID 40197287›Full record

ArticleBMC medical education2025

Cross-cultural adaptation and validation of the clinical learning evaluation questionnaire with Chinese clinical interns.

Luhua Yang, Jiangang Sun, Ruirui Wang, Shaochen Tao, Shanshan Wei, Liang Dong, Yansheng Gu, Jiayue Wang

Abstract readValidation Study
In one paragraph

Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Luhua YangDepartment of Rehabilitation Medicine, Anhui College of Traditional Chinese Medicine, Wuhu, 241001, China.
Jiangang SunDepartment of Physical Education, West Anhui University, Lu'an, China. sunjiangang0633@163.com.
Ruirui WangDepartment of Rehabilitation Medicine, Anhui College of Traditional Chinese Medicine, Wuhu, 241001, China.
Shaochen TaoDepartment of Clinical Medicine, Wannan Medical University, Wuhu, China.
Shanshan WeiDepartment of Rehabilitation Medicine, Shandong First Medical University, Tai'an, China.
Liang DongDepartment of Clinical Medicine, Shaoxing University, Shaoxing, China.
Yansheng GuXinxiang Medical University, Xinxiang, China.
Jiayue WangDepartment of Clinical Medicine, Shandong First Medical University, Tai'an, China.

Funding

Anhui Province University excellent top talent training project JWFX2024029Anhui Province Youth and Middle-aged Domestic Visiting Program Fund Project No. JNFX2024105Anhui Provincial quality engineering project of West Anhui University 2023sx096Anhui Provincial Teaching Team of Rehabilitation Therapy Technology 2021jxtd165Research and Innovation Team Project of West Anhui University WXSK202402
6 · The paper itself

Abstract

backgroundThis study aimed to evaluate the reliability and validity of an adapted English questionnaire in Chinese medical schools, assessing its cross-cultural applicability in China.

methodsA survey was conducted among clinical medical interns from four medical schools in China, collecting 216 valid responses. The questionnaire, based on the latest version of CLEQ, consisted of four dimensions and 18 items. It was translated into Chinese through a six-step forward and backward translation process. Data were analyzed using IBM SPSS Statistics 26 and IBM SPSS AMOS 28 Graphics.

resultsThe findings demonstrate that the translated questionnaire is suitable for Chinese clinical medical interns. Except for the "Learning Motivation" dimension with a reliability coefficient of 0.760, all other dimensions scored between 0.8 and 1, indicating strong internal consistency and reliability. Correlation coefficients exceeded 0.5, confirming good test-retest reliability. Model fit indices indicated good compatibility (CMIN/DF = 1.749, RMSEA = 0.057, and IFI, TLI, CFI > 0.9). Validity testing showed that all dimensions, except "Learning Motivation," had AVE values above 0.5 and CR values above 0.7,indicating good convergent validity and composite reliability. The discriminant validity of all dimensions was confirmed, as standardized correlation coefficients between each pair remained below the square root of their respective average variance extracted (AVE) values.

conclusionThe four-factor CLEQ questionnaire shows good validity and reliability among Chinese clinical interns. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Clinical CompetenceEducational MeasurementInternship and ResidencyAdultChinaCross-Cultural ComparisonEast Asian PeopleFemaleHumansLearningMalePsychometricsReproducibility of ResultsSurveys and QuestionnairesTranslationsAdaptationCLEQClinical internsMedical educationMedicineValidation

Identifiers

PMID40197287
PMCPMC11977939

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LicenceCC BY-NC-ND
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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.