Evidence map›Paper›PMID 42318430›Full record

ArticleFrontiers in medicine2026

Latent profile characteristics and endogenous formation mechanism of research competence among undergraduate nursing students: a mixed-methods study.

Xiang Wang, Qiao Hu, Yukuan Miao, Miaomiao Li, Yahui Meng, Zheyuan Xia

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Article in Frontiers in medicine, 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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5 · Who and what money

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6 authors.

Xiang WangThe School of Nursing, Anhui University of Chinese Medicine, Hefei, China.
Qiao HuThe School of Nursing, Anhui University of Chinese Medicine, Hefei, China.
Yukuan MiaoEmergency Intensive Care Unit (EICU), The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Miaomiao LiThe School of Nursing, Anhui University of Chinese Medicine, Hefei, China.
Yahui MengThe School of Nursing, Anhui University of Chinese Medicine, Hefei, China.
Zheyuan XiaThe School of Nursing, Anhui University of Chinese Medicine, Hefei, China.

Funding

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6 · The paper itself

Abstract

Objective: To identify the latent profiles of research competence among nursing undergraduates and explore their influencing factors. Combined with qualitative data, this study aimed to clarify the associative patterns of psychological self-reliance and professional identity in the development of research competence, so as to provide evidence for implementing targeted and precise research education in nursing teaching. Methods: An explanatory sequential mixed-methods design was adopted. In the quantitative phase, a cross-sectional survey was conducted among 993 nursing undergraduates recruited by convenience sampling from three universities in Anhui Province, China. Three validated instruments were applied, including the Research Competence Self-Rating Scale for Nursing Staff, the Psychological Self-Reliance Scale, and the Professional Identity Questionnaire. Latent profile analysis was utilized to identify the latent profiles of students' research competence, and multinomial logistic regression was performed to explore their influencing factors. In the qualitative phase, based on the quantitative classification results, purposive sampling was used to recruit 25 nursing students covering all latent profiles for semi-structured in-depth interviews. Colaizzi's seven-step thematic analysis was employed to extract core themes. The quantitative findings and qualitative themes were further integrated and triangulated, so as to comprehensively interpret the characteristics of latent profiles in research competence and their underlying influencing mechanisms among nursing undergraduates. Results: The quantitative analyses identified three distinct latent profiles of research competence among nursing undergraduates, namely, the Research-Inactive Profile (19.6%), the Task-Compliant Profile (66.6%), and the Proactive-Inquisitive Profile (13.8%). Multinomial logistic regression demonstrated that academic year, academic performance, maternal education level, experience in research projects, psychological self-reliance, and professional identity were independent predictors of class membership (all Conclusion: Nursing undergraduates present significant group heterogeneity in research competence. Psychological self-reliance and professional identity are positively correlated with the development of research competence from the dual dimensions of ability transformation and value-driven motivation, respectively, and the two factors have a synergistic effect in the differentiation of research competence. It is recommended to establish a targeted precision research education system: implement stratified and categorized guidance based on students' latent profile characteristics, and systematically integrate the cultivation of psychological self-reliance and professional identity into the curriculum system, so as to improve the pertinence of research education.

Indexed as

latent profilenursingprofessional identitypsychological self-reliancequalitative studyresearch

Identifiers

PMID42318430
PMCPMC13272084

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