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Nonacademic predictors of China medical licensing examination
by
Xu, Xiaojun
, Zhang, Hui
, Yu, Yongqiang
, Zhang, Peng
, Han, Tong
, Xie, Yingying
, Xu, Kai
, Gao, Bo
, Qin, Wen
, Li, Wei
, Shi, Dapeng
, Liang, Meng
, Zhang, Jing
, Miao, Yanwei
, Cheng, Jingliang
, Liu, Mengge
, Liu, Feng
, Xu, Jiayuan
, Xian, Junfang
, Shen, Wen
, Cui, Guangbin
, Yu, Chunshui
, Zhang, Ningnannan
, Liao, Weihua
, Yan, Zhihan
, Zhang, Bing
, Wang, Caihong
, Wang, Meiyun
, Zhu, Wenzhen
, Li, Jiance
, Qiu, Shijun
, Sun, Jie
, Geng, Zuojun
, Ye, Zhaoxiang
, Xu, Qiang
, Zuo, Xi-Nian
, Chen, Feng
, Fu, Jilian
, Zhang, Quan
, Zhang, Longjiang
in
Academic achievement
/ Adult
/ Antisocial Behavior
/ Anxiety
/ Basic Skills
/ Body Composition
/ Body Mass Index
/ China
/ Clinical Competence - standards
/ Clinical medicine
/ Cognitive ability
/ Conceptual Tempo
/ Depression (Psychology)
/ Education
/ Educational Measurement - methods
/ Educational research
/ Empathy
/ Female
/ General medical knowledge test
/ Graduate Medical Education
/ Graduate Students
/ Health aspects
/ Humans
/ Impulsivity
/ Information Processing
/ Licenses
/ Licensing examinations
/ Licensing Examinations (Professions)
/ Licensure, Medical
/ Male
/ Medical Education
/ Medical Evaluation
/ Medical practices
/ Medical students
/ Medicine
/ Memory
/ National medical licensing examination
/ Parents
/ Personality
/ Personality Assessment
/ Personality traits
/ Perspective Taking
/ Predictors
/ Professional examinations
/ Psychological aspects
/ Psychological Evaluation
/ Questionnaires
/ Recall (Psychology)
/ Scientific Concepts
/ Self Concept
/ Skills
/ Social aspects
/ Socioeconomic Factors
/ Students, Medical - psychology
/ Theory of Medicine/Bioethics
/ Verbal learning
/ Young Adult
2025
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Nonacademic predictors of China medical licensing examination
by
Xu, Xiaojun
, Zhang, Hui
, Yu, Yongqiang
, Zhang, Peng
, Han, Tong
, Xie, Yingying
, Xu, Kai
, Gao, Bo
, Qin, Wen
, Li, Wei
, Shi, Dapeng
, Liang, Meng
, Zhang, Jing
, Miao, Yanwei
, Cheng, Jingliang
, Liu, Mengge
, Liu, Feng
, Xu, Jiayuan
, Xian, Junfang
, Shen, Wen
, Cui, Guangbin
, Yu, Chunshui
, Zhang, Ningnannan
, Liao, Weihua
, Yan, Zhihan
, Zhang, Bing
, Wang, Caihong
, Wang, Meiyun
, Zhu, Wenzhen
, Li, Jiance
, Qiu, Shijun
, Sun, Jie
, Geng, Zuojun
, Ye, Zhaoxiang
, Xu, Qiang
, Zuo, Xi-Nian
, Chen, Feng
, Fu, Jilian
, Zhang, Quan
, Zhang, Longjiang
in
Academic achievement
/ Adult
/ Antisocial Behavior
/ Anxiety
/ Basic Skills
/ Body Composition
/ Body Mass Index
/ China
/ Clinical Competence - standards
/ Clinical medicine
/ Cognitive ability
/ Conceptual Tempo
/ Depression (Psychology)
/ Education
/ Educational Measurement - methods
/ Educational research
/ Empathy
/ Female
/ General medical knowledge test
/ Graduate Medical Education
/ Graduate Students
/ Health aspects
/ Humans
/ Impulsivity
/ Information Processing
/ Licenses
/ Licensing examinations
/ Licensing Examinations (Professions)
/ Licensure, Medical
/ Male
/ Medical Education
/ Medical Evaluation
/ Medical practices
/ Medical students
/ Medicine
/ Memory
/ National medical licensing examination
/ Parents
/ Personality
/ Personality Assessment
/ Personality traits
/ Perspective Taking
/ Predictors
/ Professional examinations
/ Psychological aspects
/ Psychological Evaluation
/ Questionnaires
/ Recall (Psychology)
/ Scientific Concepts
/ Self Concept
/ Skills
/ Social aspects
/ Socioeconomic Factors
/ Students, Medical - psychology
/ Theory of Medicine/Bioethics
/ Verbal learning
/ Young Adult
2025
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Nonacademic predictors of China medical licensing examination
by
Xu, Xiaojun
, Zhang, Hui
, Yu, Yongqiang
, Zhang, Peng
, Han, Tong
, Xie, Yingying
, Xu, Kai
, Gao, Bo
, Qin, Wen
, Li, Wei
, Shi, Dapeng
, Liang, Meng
, Zhang, Jing
, Miao, Yanwei
, Cheng, Jingliang
, Liu, Mengge
, Liu, Feng
, Xu, Jiayuan
, Xian, Junfang
, Shen, Wen
, Cui, Guangbin
, Yu, Chunshui
, Zhang, Ningnannan
, Liao, Weihua
, Yan, Zhihan
, Zhang, Bing
, Wang, Caihong
, Wang, Meiyun
, Zhu, Wenzhen
, Li, Jiance
, Qiu, Shijun
, Sun, Jie
, Geng, Zuojun
, Ye, Zhaoxiang
, Xu, Qiang
, Zuo, Xi-Nian
, Chen, Feng
, Fu, Jilian
, Zhang, Quan
, Zhang, Longjiang
in
Academic achievement
/ Adult
/ Antisocial Behavior
/ Anxiety
/ Basic Skills
/ Body Composition
/ Body Mass Index
/ China
/ Clinical Competence - standards
/ Clinical medicine
/ Cognitive ability
/ Conceptual Tempo
/ Depression (Psychology)
/ Education
/ Educational Measurement - methods
/ Educational research
/ Empathy
/ Female
/ General medical knowledge test
/ Graduate Medical Education
/ Graduate Students
/ Health aspects
/ Humans
/ Impulsivity
/ Information Processing
/ Licenses
/ Licensing examinations
/ Licensing Examinations (Professions)
/ Licensure, Medical
/ Male
/ Medical Education
/ Medical Evaluation
/ Medical practices
/ Medical students
/ Medicine
/ Memory
/ National medical licensing examination
/ Parents
/ Personality
/ Personality Assessment
/ Personality traits
/ Perspective Taking
/ Predictors
/ Professional examinations
/ Psychological aspects
/ Psychological Evaluation
/ Questionnaires
/ Recall (Psychology)
/ Scientific Concepts
/ Self Concept
/ Skills
/ Social aspects
/ Socioeconomic Factors
/ Students, Medical - psychology
/ Theory of Medicine/Bioethics
/ Verbal learning
/ Young Adult
2025
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Nonacademic predictors of China medical licensing examination
Journal Article
Nonacademic predictors of China medical licensing examination
2025
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Overview
Background
National Medical Licensing Examination (NMLE) is the entrance exam for medical practice in China, and its general medical knowledge test (GMKT) evaluates abilities of medical students to comprehensively apply medical knowledge to clinical practice. This study aimed to identify nonacademic predictors of GMKT performance, which would benefit medical schools in designing appropriate strategies and techniques to facilitate the transition from medical students to qualified medical practitioners.
Methods
In 1202 medical students, we conducted the deletion-substitution-addition (DSA) and structural equation model (SEM) analyses to identify nonacademic predictors of GMKT performance from 98 candidate variables including early life events, physical conditions, psychological and personality assessments, cognitive abilities, and socioeconomic conditions. The candidate variables were assessed using psychometrically or cognitively validated and accepted instruments.
Results
We identified seven nonacademic predictors for GMKT performance. Body mass index (BMI) and working memory reaction time showed direct negative effects on GMKT performance. Psychological and personality features (conscientiousness, state anxiety, and openness to experience) indirectly affected GMKT performance via BMI, while socioeconomic conditions (father’s education and mother’s occupation) indirectly affected GMKT performance by influencing psychological and personality features and further BMI.
Conclusion
The identified nonacademic predictors for GMKT performance and their pathways may be useful for improving medical education by strengthening favorable and weakening, rectifying, or compensating unfavorable factors that are modifiable.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
/ Adult
/ Anxiety
/ China
/ Clinical Competence - standards
/ Educational Measurement - methods
/ Empathy
/ Female
/ General medical knowledge test
/ Humans
/ Licenses
/ Licensing Examinations (Professions)
/ Male
/ Medicine
/ Memory
/ National medical licensing examination
/ Parents
/ Skills
/ Students, Medical - psychology
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