Attitude theory and group formation process reconstructed from the Bayesian Rule

2018 Fiscal Year Final Research Report

• Project/Area Number: 16K13459
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Social psychology
• Research Institution: Senshu University (2018); Yamaguchi University (2016-2017)
• Principal Investigator: Kosugi Koji 専修大学, 人間科学部, 准教授 (60452629)
• Co-Investigator(Kenkyū-buntansha): 平川 真 広島大学, 教育学研究科, 講師 (50758133)
• Project Period (FY): 2016-04-01 – 2019-03-31
• Keywords: 社会的態度 / 統計モデリング / ベイズ統計学 / 計算論的アプローチ / 対人的相互作用

Outline of Final Research Achievements

The purpose of this study was to reconstruct an attitude change model of group members based on Bayes' theorem in statistics. In the first year, the author reconsidered the preceding research from the Bayesian viewpoint and concentrated on the theoretical construction of the hypothesis model. As a location of the problem, the approach from three of attitude measurement method, machine learning, model estimation method was considered, and especially, the experimental challenge as attitude measurement method was repeated.
As a result of this study, it seems to have contributed to the development of the new attitude formation theory.

Free Research Field

社会心理学

Academic Significance and Societal Importance of the Research Achievements

実験的アプローチでは，ベイズ統計学的検証方法が有用であることを重ねて示すこととなった。また社会的関係が複雑な，家族関係のデータに対するモデリングや，分布としての態度測定に関する調査法を開発したことで，今後の社会心理学研究における調査デザインについて，革新的なアイデアを生み出すに至った。