图书馆杂志

图书馆杂志 ›› 2022, Vol. 41 ›› Issue (12): 32-40.

• 理论探索 • 上一篇    下一篇

线性学术评价权重失灵及其影响研究

俞立平1, 2 杜 维3 苏光耀4 (1 常州大学商学院 2 浙江工商大学统计数据工程技术与应用协同创新中心 3 浙江工商大学管理工程与电子商务学院 4 浙江工商大学图书馆)   

  • 出版日期:2022-12-15 发布日期:2023-01-03
  • 作者简介:俞立平 浙江工商大学统计与数学学院,教授,博士生导师。研究方向:技术经济、科技评价领域研究。作者贡献:论文构思与主要部分写作。E-mail:yvliping@126.com 浙江杭州 310018 杜 维 浙江工商大学管理工程与电子商务学院,硕士研究生。研究方向:评价理论与方法研究。作者贡献:文献检索与数据处理。 浙江杭州 310018 苏光耀 浙江工商大学图书馆,馆员,博士。研究方向:学科服务、信息分析。作者贡献:论文的计量分析。 浙江杭州 310018

Research on Weight Failure of Linear Academic Evaluation and Its Impact

Yu Liping1, 2, Du Wei3, Su Guangyao4 (1 Business School, Changzhou University; 2 Collaborative Innovation Center of Statistical Data Engineering Technology & Application, Zhejiang Gongshang University; 3 School of E-business and Management, Zhejiang Gongshang University; 4 Library of Zhejiang Gongshang University)   

  • Online:2022-12-15 Published:2023-01-03
  • About author:Yu Liping1, 2, Du Wei3, Su Guangyao4 (1 Business School, Changzhou University; 2 Collaborative Innovation Center of Statistical Data Engineering Technology & Application, Zhejiang Gongshang University; 3 School of E-business and Management, Zhejiang Gongshang University; 4 Library of Zhejiang Gongshang University)

摘要: 本文提出了学术评价中隐含的权重失灵问题,即当某些评价指标存在“同增同减”现象时,不管这些指标的权重组合如何变动,这些评价指标的评价结果排序几乎不变,相当于此时权重已经没有作用。本文对权重失灵的形成机制、特点、测度方法、影响因素、后果进行了进一步的分析,并以JCR2019经济学期刊为例进行了仿真实验,研究结果表明:权重失灵是学术评价中的普遍现象,应该引起足够的重视;权重失灵是一把双刃剑,会降低赋权失误和赋权误差的影响,但也会影响评价质量;权重失灵的影响因素包括指标相关、合计权重与评价规模等。本文的研究丰富了情报学的评价理论。

Abstract: This paper puts forward the problem of weight failure implied in academic evaluation, namely, when some evaluation indexes “increase and decrease at the same time”, no matter how the weight combination of these indexes changes, the ranking of evaluation results is almost unchanged, making the weight almost of no impact. This paper makes a further analysis on the formation mechanism, characteristics, measurement methods, influencing factors and consequences of weight failure, and takes JCR2019 economics journal as an example to carry out simulation experiments. The results show that weight failure is a common phenomenon in academic evaluation, which should be paid enough attention to. Weight failure is a double-edged sword—it can reduce the impact of weight fault and weight error, but also affects the quality of evaluation. The influencing factors of weight failure include index correlation, total weight and evaluation scale. This research enriches the evaluation theory in Information Science.