著者

Shizuhiko Nishisato José G. Clavel

出版者

The Behaviormetric Society of Japan

雑誌

Behaviormetrika (ISSN:03857417)

巻号頁・発行日

vol.37, no.1, pp.15-32, 2009 (Released:2010-06-08)

参考文献数

12

被引用文献数

1 15 4

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The traditional quantification procedure (e.g., dual scaling, correspondence analysis) is extended in order to tap into information which is typically ignored. Noting that the traditional symmetric scaling yields a visual image of distorted data structure and recalling that the widely used practice of looking at data in reduced space may also miss capturing rare but key-information in total space, a method, called total information analysis (TIA), is proposed to subject not only within-set but also between-set relations in total space. Numerical examples are used to explain why TIA offers partial solutions to some theoretical problems inherent in the current practice of multidimensional quantification analysis.