摘要
在学术评价中,指标体系线性评价方法的系统误差问题一直没有得到足够的重视。文章以学术期刊为例,从评价指标选取、权重赋值、指标标准化、结果公布等环节对相关问题进行了深入分析,并提出降低系统误差的解决路径。研究发现线性评价系统误差问题一定要充分重视;消除偶然误差是消除系统误差的基础;线性学术评价产生系统误差的环节众多应综合治理;线性评价系统误差问题具有方法论的普遍性。相关研究拓展了线性学术评价方法,并深化了系统误差理论在指标体系评价中的应用。
In the academic evaluation,the systematic error problem of the index system linear evaluation method has not been paid enough attention.Taking academic journals as an example,this paper conducts an in-depth analysis of related problems from the aspects of evaluation index selection,weight assignment,index standardization,and result announcement,and proposes a solution to reduce system errors.The results show that the systematic error problem of linear evaluation must be paid enough attention to;eliminating accidental errors is the basis of eliminating systematic errors;there are many links that produce systematic errors in linear academic evaluation,which should be comprehensively treated;the systematic error problem of linear evaluation has the universality of methodology.The related research expands the linear academic evaluation method and deepens the application of systematic error theory in the evaluation of indicator system.
出处
《情报理论与实践》
北大核心
2023年第9期31-36,共6页
Information Studies:Theory & Application
基金
浙江省自然科学基金重点项目“制造业从数量型创新向质量型创新转型机制研究”(项目编号:Z21G030004)
浙江省重点建设高校优势特色学科(浙江工商大学统计学)的研究成果。
关键词
线性评价
系统误差
指标体系
学术期刊
linear evaluation
system error
index system
academic journal
