期刊指标作为研究卓越框架2021结果的预测因子:影响因子四分位数和芬兰专家评级的比较

Janne Pölönen, Raf Guns, Tim C. E. Engels
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引用次数: 0

摘要

这项研究比较了基于引用和基于专家的期刊指标作为同行评估研究质量的预测指标,该指标基于提交给英国研究卓越框架(REF) 2021的154,826篇期刊文章。芬兰以专家为基础的Julkaisufoorumi (JUFO)水平评分由每个领域的专家小组确定,与基于引用的期刊影响因子(JIF)或期刊引用指标(JCI)四分位数的评分相比,其与REF评分的相关性更强。34个学科领域、157所高等教育机构(HEI)和1888个评估单位(UoA)的总体水平都是如此。特别是非领域标准化的基于jif的分数与REF分数的相关性很差。所有类型的期刊指标在高等教育机构的最高总体水平上与基于专家的REF分数更加一致,而在uoa和学科领域的较低总体水平上则不太一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Journal metrics as predictors of Research Excellence Framework 2021 results: Comparison of impact factor quartiles and Finnish expert-ratings
This study compares citation-based and expert-based journal metrics as predictors of peer-assessed research quality based on 154,826 journal articles submitted to UK’s Research Excellence Framework (REF) 2021. The Finnish expert-based Julkaisufoorumi (JUFO) level ratings of journals determined by expert-panels per field produce scores that correlate more strongly with REF scores than those based on citation-based Journal Impact Factor (JIF) or Journal Citation Indicator (JCI) Quartiles. This holds true at aggregate levels of 34 Subject areas, 157 Higher Education Institutions (HEI), and 1,888 Units of Assessment (UoA). Especially non-field-normalised JIF-based scores correlate poorly with REF scores. All types of journal metrics are more aligned with expert-based REF scores at the highest aggregate level of HEIs and agree less at the lower aggregate level of UoAs and Subject areas.
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