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Trivariate Theory of Mind Data Analysis with a Conditional Joint Modeling Approach
Psychometrika ( IF 2.9 ) Pub Date : 2020-06-01 , DOI: 10.1007/s11336-020-09710-9
Minjeong Jeon 1 , Paul De Boeck 2 , Xiangrui Li 2 , Zhong-Lin Lu 3
Affiliation  

Theory of mind (ToM) is an essential social-cognitive ability to understand one’s own and other people’s mental states. Neural data as well as behavior data have been utilized in ToM research, but the two types of data have rarely been analyzed together, creating a large gap in the literature. In this paper, we propose and apply a novel joint modeling approach to analyze brain activations with two types of behavioral data, response times and response accuracy, obtained from a multi-item ToM assessment, with the intention to shed new light on the nature of the underlying process of ToM reasoning. Our trivariate data analysis suggested that different levels or kinds of processes might be involved during the ToM assessment, which seem to differ in terms of cognitive efficiency and sensitivity to ToM items and the correctness of item responses. Additional details on the trivariate data analysis results are provided with discussions on their implications for ToM research.

中文翻译:

使用条件联合建模方法进行思维数据分析的三变量理论

心理理论 (ToM) 是一种必不可少的社会认知能力,可以了解自己和他人的心理状态。ToM 研究中使用了神经数据和行为数据,但很少将这两种数据一起分析,这在文献中造成了很大的空白。在本文中,我们提出并应用了一种新的联合建模方法来分析大脑激活的两种类型的行为数据,响应时间和响应准确性,从多项目 ToM 评估中获得,目的是揭示ToM推理的底层过程。我们的三变量数据分析表明,在 ToM 评估过程中可能涉及不同级别或类型的过程,这些过程似乎在认知效率和对 ToM 项目的敏感性以及项目响应的正确性方面存在差异。
更新日期:2020-06-01
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