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[Analyzing paired-comparison data in situations where judgment is affected by multiple factors].

Authors
  • Usami, Satoshi1
  • 1 Graduate School of Education, University of Tokyo, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan. [email protected] , (Japan)
Type
Published Article
Journal
Shinrigaku kenkyu : The Japanese journal of psychology
Publication Date
Feb 01, 2009
Volume
79
Issue
6
Pages
536–541
Identifiers
PMID: 19348169
Source
Medline
License
Unknown

Abstract

Paired-comparison is a well-known and effective method for scaling stimuli. In situations where judgment is affected by multiple factors, it is necessary to take these multiple effects into consideration. However, there is no very effective method to deal with this problem, especially when the data is binary. This study is to propose a new method that expands the Bradley-Terry model to overcome this problem. The proposed method allows estimation of both the scaled value of each stimuli and the influence of each factor. This article includes an analysis of the real data of a sensory test to verify the efficacy of the proposed method. Lastly, a possible expansion of the Bradley-Terry model for more general situations is discussed.

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