摘要
在学术期刊评价指标数据的基础上,运用结构方程模型,模拟学术期刊评价指标结构,揭示学术期刊评价指标的内在关系,为期刊评价指标的筛选和评价体系构建提供量化参考。研究发现:期刊引用因子(X)解释影响因子(X1)和即年指标(X2)的能力强,分别达到94%和84%;而对于学科影响因子(X3)的解释能力不足,为62%。来源期刊因子(Y)对于平均引文数(Y1)、基金论文比(Y3)的解释能力较强,达到84%和86%,而对于平均作者数(Y2)的解释能力较差只有46%。
In the basis of academic journal evaluation index data, the paper applies structural equation model to simulating the academic journal evaluation index structure, reveals the inner relations of academic journal evaluation indexes, and gives a quantitative reference for constructing journal evaluation index system and filtrating the indexes. The results show that the journal citation factor （ X） can explain the impact factor （X1） and the years index （X2） effectively, accounting for 94% and 84% respectively, with a small error;however, its in-terpretation ability of the subject impact factor （X3） is insufficient, only reaches 62%. The explanatory ability of source journals factor （Y） to explain the average number of citations （Y1） and ratio of fund papers （Y3） is stronger, reaching 84% and 86% respectively, while its explanation power of the average number of authors （Y2） is inferior, which is only 46%.
出处
《情报杂志》
CSSCI
北大核心
2014年第11期113-116,123,共5页
Journal of Intelligence
关键词
学术期刊
指标结构
结构方程模型
期刊评价
academic journal
index structure
structural equation model
journal evaluation
