| 科技评价指标值与评价属性背离及修正研究——基于多属性评价视角 |
| |
| 引用本文： | 周娟美,郭强华,王作功,俞立平.科技评价指标值与评价属性背离及修正研究——基于多属性评价视角[J].图书情报工作,2018,62(22):100-108. |
| |
| 作者姓名： | 周娟美 郭强华 王作功 俞立平 |
| |
| 作者单位： | 1.中北大学经济与管理学院 太原 030051;2.云南大学经济学院 昆明 650504;3.贵州财经大学中国西部绿色发展战略研究院 贵阳 550025;4.浙江工商大学管理工程与电子商务学院 杭州 310018 |
| |
| 基金项目： | 本文系山西省高等学校人文社会科学重点研究基地项目"山西省科技金融服务平台与支持政策研究"（项目编号：2017335）和贵州省科技厅软科学研究项目"贵州承接台湾产业转移研究——基于产业园视角"（项目编号：黔科合基础[2016]1510-2）研究成果之一。 |
| |
| 摘 要： | 目的/意义] 分析科技评价中指标区分度异常、数据分布有偏的深层次原因，认为本质上这是评价指标值与评价属性的背离现象，即评价指标值不能较好地体现评价属性的本质含义。方法/过程] 提出一种新的降低评价指标值与评价属性背离的方法--对数中位数标准化，并以JCR2016数学期刊为例进行实证分析。结果/结论] 研究结果表明：引文指标更容易出现评价指标值与评价属性背离问题；可以从多角度判定评价指标值与评价属性背离问题，如指标内涵分析、及格率、离散系数、中位数极大值比、集中度指数HHI等；采用对数中位数标准化可以大幅降低评价指标值与评价属性背离问题；建议评价中如出现指标值与属性背离，采用对数中位数处理后的数据进行评价。
|
| 关 键 词： | 区分度 数据分布 科技评价 影响力指标 对数中位数标准化 |
| 收稿时间： | 2018-06-03 |
| 修稿时间： | 2018-07-14 |
Research on the Deviation Cause and Correction of Technology Evaluation Index Value and Evaluation Attribute |
| |
| Zhou Juanmei,Guo Qianghua,Wang Zuogong,Yu Liping.Research on the Deviation Cause and Correction of Technology Evaluation Index Value and Evaluation Attribute[J].Library and Information Service,2018,62(22):100-108. |
| |
| Authors: | Zhou Juanmei Guo Qianghua Wang Zuogong Yu Liping |
| |
| Institution: | 1.School of Economics and Management, North University of China, Taiyuan 030051;2.Economics School, Yunnan University, Kunming 650504;3.Guizhou University of Finance and Economics, Institute of Green Development Strategy in Western China, Guiyang 550025;4.School of Management and E-business, Zhejiang Gongshang University, Hangzhou 310018 |
| |
| Abstract: | Purpose/significance] This paper analyzes the deep-level reasons for the abnormality in the index distinction degree and the bias of data distribution in the science and technology evaluation and believes that this is a deviation between the evaluation index value and the evaluation attribute essentially. That is, the evaluation index value can not reflect the essence of the evaluation attribute well.Method/process] This paper proposes a new method to reduce the deviation between evaluation index value and evaluation attribute which is logarithmic median standardization, and takes JCR2016 mathematics journal for an example to conduct an empirical analysis.Result/conclusion] The results show that citation indexs are more likely to show deviations between evaluation index value and evaluation attribute. The deviation between evaluation index value and evaluation attribute can be determined from multiple perspectives, such as index connotation analysis, pass rate, dispersion coefficient, median maximum ratio, concentration index HHI, etc. The use of logarithmic median standardization can greatly reduce the deviation of evaluation index value and evaluation attribute. |
| |
| Keywords: | distinction degree data distribution science and technology evaluation influence index logarithmic median normalization |
|
| 点击此处可从《图书情报工作》浏览原始摘要信息 |
| 点击此处可从《图书情报工作》下载免费的PDF全文 |
