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Scholarly journal evaluation based on panel data analysis
Authors:Liping Yu  Xiaoming Shen  Yuntao Pan  Yishan Wu
Institution:aInstitute of Scientific & Technical Information of China, Beijing 100038, China;bJiangsu Polytechnic University, Changzhou 213016, China
Abstract:This paper proposes a new method for indicator selection in panel data analysis and tests the method with relevant data on agricultural journals provided by the Institute of Scientific & Technical Information of China. An evaluation exercise by the TOPSIS method is conducted as a comparison. The result shows that panel data analysis is an effective method for indicator selection in scholarly journal evaluation; journals of different disciplines should not be evaluated with the same criteria; it is beneficial to publish all the evaluation indicators; unavailability of a few indicators has a limited influence on evaluation results; simplifying indicators can reduce costs and increase efficiency as well as accuracy of journal evaluation.
Keywords:Scholarly journal  MAE (Multiple Attribute Evaluation)  Indicator selection  TOPSIS  Panel data analysis  Heuristic methods
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