Title
Research on the evaluation of academic journals based on structural equation modeling
Abstract
This paper classifies common journal evaluation indicators into three categories, namely three first-level indicators. They are respectively the indicators on journal impact, on timeliness, and on journal characteristics. The data used here is drawn from the medical journals in CSTPCD, a citation database built by the Institute of Scientific and Technical Information of China. The three categories of indicators are correlated with one another, so a structural equation may be established. Then we calculate the value of three first-level indicators and give subjective weights to the indicators. The comprehensive evaluation upon the medical journals yields satisfactory results. By simulating the complex relationship among journal indicators, the structural equation can be used for the estimation of some implicit indicators and the screening of indicators. This approach provides a new perspective for scientific and technological evaluation in general sense. It should be noted that the availability of basic data and the rationality of modeling bear much upon the evaluation results.
Year
DOI
Venue
2009
10.1016/j.joi.2009.04.002
Journal of Informetrics
Keywords
Field
DocType
Academic journal,Evaluation,Structural equation modeling
Data science,Data mining,Rationality,Structural equation modeling,Computer science,Citation,Technical information,Management science
Journal
Volume
Issue
ISSN
3
4
1751-1577
Citations 
PageRank 
References 
4
0.42
6
Authors
4
Name
Order
Citations
PageRank
Liping Yu150.78
Yuqing Chen240.42
YunTao Pan3867.04
Yishan Wu410510.78