博士学位论文综合质量等级识别方法及有效性验证  

Comprehensively Assessing PhD Dissertation Quality

作　　者：彭笑菊 曲建升 Peng Xiaoju;Qu Jiansheng(Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China;Key Laboratory of Knowledge Computing and Intelligent Decision,Lanzhou 730000,China;Department of Information Resources Management,School of Economics and Management,University of Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences Library,Beijing 100049,China;National Science Library(Chengdu),Chinese Academy of Sciences,Chengdu 610041,China)

机构地区：[1]中国科学院西北生态环境资源研究院,兰州730000 [2]甘肃省知识计算与决策智能重点实验室,兰州730000 [3]中国科学院大学经济与管理学院信息资源管理系,北京100190 [4]中国科学院大学图书馆,北京100049 [5]中国科学院成都文献情报中心,成都610041

出　　处：《数据分析与知识发现》2024年第7期164-175,共12页Data Analysis and Knowledge Discovery

基　　金：中国科学院大学管理支撑创新能力提升专项重点项目(项目编号:E2E58926A2)的研究成果之一。

摘　　要：【目的】探索全面综合评价博士学位论文质量等级的新方法。【方法】将数据包络分析方法应用于博士学位论文综合质量评价,与常规总评分分级方法相比较,探讨是否能得到更为准确、合理、全面的评价结果。【结果】基于数据包络分析的等级划分是全面评价博士学位论文质量的有效方法,能够识别总评分相似样本的综合质量差异;相较于总评分评级,数据包络分析更能包容学位论文质量表现的多样性,而非仅依据分值高低判断论文质量优劣。研究以抽检“不合格论文”和“优秀博士论文”为标志样本进行有效性验证。【局限】该分析方法必须基于标准规范的专家评阅分数,虽能确定学位论文综合质量等级,但无法给出学位论文质量“及格线”。“及格线”必须由学科领域专家参与评价后确定。【结论】与随机抽检的方法不同,数据包络分析具有快速、准确、灵敏的性能特点,在博士教育评价实践中具有实际应用价值。[Objective]This paper proposes a new approach to comprehensively evaluating the quality of doctoral dissertations.[Methods]We applied the data envelopment analysis(DEA)to the comprehensive quality evaluation of dissertations.We compared the outcomes with the conventional total-score grading method.It aims to explore whether more accurate,reasonable,and comprehensive evaluation results.[Results]The grade division based on DEA is an effective method for comprehensively evaluating the quality of doctoral dissertations.It can identify comprehensive quality differences of samples with similar scores.Compared to the total-score rating,data envelopment analysis can better accommodate the diversity of dissertation quality performance rather than judging the quality of dissertations based on the score.Our study effectively used the“unqualified dissertations”and“excellent doctoral dissertations”as bench-marker samples.[Limitations]The DEA grading method must be based on standardized expert review scores.The“passing line”must be determined by experts'evaluation of the subject area.[Conclusions]Unlike random sampling methods,data envelopment analysis has speed,accuracy,and sensitivity characteristics.It has practical application value in evaluating doctoral education.

关 键 词：科研评价 数据包络分析 学位论文 博士培养质量 

分 类 号：G353[文化科学—情报学] G643