The Text Measurement and Optimization of China's Science and Technology Personnel Evaluation Policy Based on the Four-dimensional Analytical Angles

Journal of Measurement and Evaluation

JME, Vol. 1, No. 1, 2026, pp.74-95.

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

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

DOI：Https://doi.org/10.64058/JME.26.1.05

The Text Measurement and Optimization of China's Science and Technology Personnel Evaluation Policy Based on the Four-dimensional Analytical Angles[1]

Tan Chunhui, Liang Yuanliang, Wei Wenjing, Diao Fei, Chen Xiaoqi, Si Han(translator)

Abstract: The evaluation of science and technology (S&T) talent is a crucial component of overarching S&T evaluation systems. Analyzing the policy texts of S&T talent evaluation facilitates the formulation of future policies and the advancement of related initiatives. From the perspective of quantitative policy analysis, this paper constructs a four-dimensional analytical framework comprising policy instruments, elements, targets, and effectiveness. Utilizing NVivo 11 Plus software, a longitudinal and departmental analysis is conducted on 115 S&T talent evaluation policy texts issued in China from 1978 to 2020. This is followed by single-dimension and cross-dimensional analyses anchored by policy instruments. The findings reveal several deficiencies in current S&T talent evaluation policies: the internal elements of policy instruments are incomplete, requiring enhanced operability; target settings and instrument selections are partially mismatched, necessitating clearer goal orientations; and interdepartmental cooperation is relatively lacking, leading to an unbalanced structure of policy instruments. To optimize future policies, improvements can be made across three matching dimensions (element-instrument, target-instrument, and effectiveness-instrument) to refine the proportion of policy elements, correct mismatches, and strengthen interdepartmental linkages. This paper analyzes S&T talent evaluation policies from a multi-dimensional perspective and proposes targeted optimization strategies. Future research could further explore these policies from the standpoint of policy synergy.

Keywords: Science and technology (S&T) talent evaluation; S&T talent evaluation policies; Policy instruments; Policy texts; Quantitative policy analysis

Author Biographies: Tan Chunhui, Ph.D., Professor, Ph.D. Supervisor. Research directions: informetrics and scientific evaluation, network user behavior. Liang Yuanliang, from Guigang, Guangxi. Doctoral student. Research direction: informetrics and scientific evaluation. Wei Wenjing, Master's student. Research directions: informetrics and scientific evaluation, network user behavior. Diao Fei, Doctoral student. Research directions: information resources management, network user behavior. Corresponding author. E-mail: df_ccnu@163.com. Chen Xiaoqi, Master's student. Research direction: informetrics and scientific evaluation. Si Han (translator), corresponding author, a Master's student. His main research interests focus on applied statistics.

Received: 16 Dec 2025 / Revised: 06 Jan 2026 / Accepted: 18 Jan 2026 / Published online: 30 Apr 2026 / Print published: 30 May 2026.

This article is an English translation of the following Chinese article: Tan Chunhui, Liang Yuanliang, Wei Wenjing, Diao Fei,&Chen Xiaoqi (2022). The Text Measurement and Optimization of China's Science and Technology Personnel Evaluation Policy Based on the Four-dimensional Analytical Angles, Information Science,40(03),63-71. https://doi.org/10.13833/j.issn.1007-7634.2022.03.009