熊本高等専門学校研究紀要
Online ISSN : 2189-8553
Print ISSN : 1884-6734
ISSN-L : 1884-6734
ベイズIRTによる間接的発話要求の新たな理解
大石 信弘
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研究報告書・技術報告書 フリー

2024 年 15 巻 p. 15-18

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A questionnaire survey on indirect speech requests conducted by Hirakawa was analyzed using Item Response Theory (IRT) applying Bayesian statistical modeling. From the knowledge of both the characteristics of the respondents and the characteristics of the question items, it is found that the characteristics of the question items are the cause of the bimodal distribution of respondents’ tendency to interpret the “interpretation of the request”. Also Bayesian IRT appears to offer benefits for scale design.
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