Modified Stepwise Regression Models on Simplifying the ARWU’s Indicators
學年 106
學期 2
出版（發表）日期 2018-03-01
作品名稱 Modified Stepwise Regression Models on Simplifying the ARWU’s Indicators
作品名稱（其他語言）
著者 F. P. C. Chang; L. Y. Ouyang
單位
出版者
著錄名稱、卷期、頁數 Global Journal of Advanced Research 5(3), p.95-116
摘要 The Academic Ranking of World Universities (ARWU) uses six indicators and their relative percentage weights to measure the academic performance of universities. The sixth indicator, the universities’ per capita performance is a weighted average of the scores obtained in the previous five categories, divided by the number of current full-time equivalent academic staff members. However, the data sources of the number of current full-time equivalent academic staff members are not consistent for all participating universities, which might lead to an inconsistent comparison of the global competition. In attempt to simplify the indicators, this paper uses a stepwise regression analysis for each ranking year, and constructs stepwise regression models from 2004 to 2016. Of the constructed five models throughout the ranking years, we find three models that have the better model fitting. Furthermore, the new scoring formulas generated from the three modified stepwise regression models are all adequate to replace the original scoring formula. As it is shown in our empirical study, the three modified scoring formulas all produce very similar results when compared with the original outcomes.
關鍵字 Academic Ranking of World Universities;stepwise regression model;correlation coefficient;partial correlation coefficient;coefficient of determination
語言 en
ISSN 2394-5788
期刊性質 國外
收錄於
產學合作
通訊作者 F. P. C. Chang
審稿制度 是
國別 TWN
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/114870 )