Quality evaluation of scientific research project final report conclusion based on factor analysis and TOPSIS
10.3760/cma.j.cn113565-20210618-00105
- VernacularTitle:基于因子分析和TOPSIS法的科研项目结题质量评价
- Author:
Qing LIU
1
;
Qun YIN
;
Zhengrong CHEN
;
Qiaoran TANG
;
Sheng DING
Author Information
1. 苏州大学附属儿童医院科研处 215000
- Keywords:
Factor analysis;
TOPSIS;
Scientific research projects;
Evaluation study
- From:
Chinese Journal of Medical Science Research Management
2021;34(6):422-426
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To comprehensively evaluates the final quality of completed scientific research projects, and explore a set of evaluation methods for evaluating the quality of congener projects.Methods:Taking 31 provincial and ministerial research projects concluded completed between during 2016 to 2020 in a grade A tertiary Children′s Hospital of Jiangsu Province as the research objects, the evaluation index data were collected, the index weights were determined by factor analysis, and the quality of the research projects was comprehensively evaluated by combining TOPSIS method which derived from a grade A tertiary Children′s Hospital in Jiangsu Province, to collect the relevant evaluation index data, then determine the index weight by factor analysis and calculate sequences with TOPSIS, further evaluate the quality of these projects.Results:The top six projects are project 17, project 8, project 4, project 5, project 31 and project 7, all of which are provincial-level social development projects. The last six projects are project 19, project 6, project 14, project 11, project 28 and project 12, all of which are funded by Provincial Natural Science Foundation. The evaluation results are consistent with the actual completion quality of the projects.Conclusions:This method can evaluate the final quality of scientific research project scientifically and effectively. The evaluation results are more objective and reasonable by making full use of the original data information. It is a suitable method for the quality management of scientific research projects.
