中医药博士学位论文质量分析及其前控管理探索

Title:

Analysis on Quality and Doctoral Dissertations of TCM and Exploration of Pre-control Management

文章编号:

2095-5707(2019)06-0062-04

作者:

梁佳; 赵家有; 王乐; 杨卫彬^*

中国中医科学院研究生院，北京 100700

Author(s):

LIANG Jia;  ZHAO Jia-you;  WANG Le;  YANG Wei-bin^*

Graduate School of China Academy of Chinese Medical Sciences, Beijing 100700, China

关键词:

博士; 学位论文; 中医药; 影响因素; 前控管理; 质量

Keywords:

doctoral;  dissertations;  TCM;  influencing factors;  pre-control management;  quality

分类号:

G252.62；G643.8

DOI:

10.3969/j.issn.2095-5707.2019.06.015

文献标志码:

A

摘要:

对中国中医科学院研究生院2013届和2014届的67篇博士学位论文进行盲审，每篇学位论文由3位相关领域专家评审，共回收评阅意见书201份。利用频数统计法对数据进行统计，采用SPSS 18.0软件进行分析，探究影响中医药博士学位论文质量的因素，探索提出质量前控管理措施，以期完善中医药博士学位论文形成过程中的质量保障建设。结果显示，我院中医药博士学位论文质量整体良好，总体评审成绩主要分布在良好层面，占54.7%。各分项评审分数也以良好层面居多，均超过半数；其次是优秀层面，占比在30.0%左右。共有4篇博士学位论文为总体评价不合格，占6.0%，创新性及论文价值项4篇均出现不合格，选题与综述、科研能力与基础知识、论文规范性方面不合格各2篇。建议从研究生培养过程管理中完善学位论文质量的前控管理措施，进一步提升学位论文质量。

Abstract:

67 doctoral dissertations from China Academy of Chinese Medical Sciences in 2013 and 2014 were submitted for blind review and evaluation. Each dissertation was submitted to 3 experts in related fields. 201 opinions were collected and analyzed. The data were statistically analyzed by frequency statistics method and SPSS 18.0 software to explore the factors affecting the quality of doctoral dissertations of TCM and the pre-control management measures for the quality of doctoral dissertations of TCM, in order to improve the quality assurance construction in the formation of doctoral dissertations of TCM. The results showed that the quality of doctoral dissertations of TCM in our academy was generally good, and the overall evaluation results were mainly distributed at a good level, accounting for 54.7%; the distribution of each sub-item was mostly in good level, which was more than half; the second was excellent level, accounting for about 30.0%. A total of 4 doctoral dissertations were identified as unqualified doctoral dissertations in the overall evaluation, accounting for 6.0%; 4 were unqualified in terms of innovation and paper value; 2 were unqualified in terms of scientific research ability and basic knowledge, topics and reviews and paper norms. It is suggested to improve the pre-control management measures of the quality of dissertations from the management of postgraduate training process to further improve the quality level of dissertations.