基础医学与临床 ›› 2021, Vol. 41 ›› Issue (5): 767-771.

• 医学教育 • 上一篇    下一篇

基于因子分析的对临床导师学术影响力的评价研究

常星, 贾雪妍, 朱东伟, 罗林枝*   

  1. 中国医学科学院 北京协和医学院 北京协和医院 教育处, 北京 100730
  • 收稿日期:2020-02-10 修回日期:2020-05-27 出版日期:2021-05-05 发布日期:2021-05-06
  • 通讯作者: *pumchluo@aliyun.com
  • 基金资助:
    北京协和医学院2018年研究生职业素养项目

Evaluation of scientific impact for clinical supervisors based on Factor Analysis

CHANG Xing, JIA Xue-yan, ZHU Dong-wei, LUO Lin-zhi*   

  1. Department of Education, Peking Union Medical College Hospital, CAMS & PUMC, Beijing 100730, China
  • Received:2020-02-10 Revised:2020-05-27 Online:2021-05-05 Published:2021-05-06
  • Contact: *pumchluo@aliyun.com

摘要: 目的 建立导师的学术影响力评价模型,为导师队伍建设提供参考。方法 在文献综述的基础上遴选评价指标,抽选62位博士生导师,采用因子分析的方法对导师的学术情况构建评价模型。结果 导师学术影响力评价主要依靠科学研究产出因子、投入因子和学术著作因子等3个公因子的方差贡献率达到75.25%;导师的学术影响力得分差异显著,总体上导师们的学术投入大于学术产出。结论 因子分析可以用于构建导师的学术影响力评价模型;同时,评价导师的学术影响力对于高层次导师的选拔和导师队伍的建设有非常重要的意义。

关键词: 导师评价, 学术影响力, 因子分析

Abstract: Objective To establish an evaluation model of scientific impact of supervisors and provide reference for the construction of supervisor team. Methods Based on the literature review, a series of evaluation index were selected; and 62 supervisors for doctor degree from a well-known hospital in China were selected.Their academic conditions were evaluated by Factor Analysis. Results The evaluation of supervisors' scientific impact mainly determined by three common factors including research output factor, research input factor and academic publication factor. The total variance contribution rate of three factors reached 75.25%.There were significant differences in the scientific impact of supervisor. Totally, superisors' research input was greater than their research output. Conclusions Factor Analysis can be used to construct the evaluation model of supervisor's scientific impact. At the same time, it is of great significance to evaluate the scientific impact of supervisor for the selection of high-level mentors and the construction of supervisor team.

Key words: supervisor's evaluation, scientific impact, Factor Analysis

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