教師資料查詢 | 類別: 期刊論文 | 教師: 歐陽良裕 Ouyang, Liang-yu (瀏覽個人網頁)

標題: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
語言英文
ISSN2394-5788
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
國別中華民國
公開徵稿
出版型式,電子版
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