Two Dimensions of Academic Evaluation: Evaluating Research Quality vs. the Quality of Evaluation Itself

Journal of Measurement and Evaluation

JME, Vol. 1, No. 1, 2026, pp.21-35.

Print ISSN: 3106-0463; Online ISSN: 3106-0471

Journal homepage: https://www.jmeacta.com 

DOIHttps://doi.org/10.64058/JME.26.1.02


Two Dimensions of Academic Evaluation: Evaluating Research Quality vs. the Quality of Evaluation Itself

 

Yu Liping, Zhang Yu(translator)

 

Abstract: Academic quality evaluation and academic evaluation quality are two distinct yet interrelated dimensions, and further research is needed on their connotations and relationships. On the basis of defining the relationship between quality evaluation and evaluation quality, this article analyzes their connotations and impact mechanisms, and examines misconceptions in academic quality evaluation from the perspectives of evaluation objects and scales, focusing mainly on representative work evaluation. This paper also examines common pitfalls in how evaluations are managed and executed, including issues in indicator design, weighting, and data handling, as well as in evaluation methods and result processing. Research has found that while academic quality evaluation may be context-dependent, the quality of the evaluation process itself is non-negotiable. Academic quality evaluation and the quality of that evaluation must be organically combined. Small-scale academic quality evaluations often suffer from blind spots. We need to strengthen theoretical research on the quality of academic evaluation.

KeywordsAcademic Quality Evaluation, Academic Evaluation Quality, Representative Work Evaluation, Multi-attribute Evaluation, Weight Assignment

Author Biographies: Yu Liping holds a Ph.D. and is a Professor and Ph.D. Supervisor. His research primarily focuses on technology economics and science and technology evaluation. He is the corresponding author and can be contacted at yvliping@126.com. Zhang Yu (translator), corresponding author, Master's student at the School of Statistics and Data Science, Zhejiang Gongshang University.



Received: 30 Oct 2025 / Revised: 28 Nov 2025 / Accepted: 17 Dec 2025 / Published online: 30 Apr 2026 / Print published: 30 May 2026.