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Categories in Social Interaction: Unlocking the Resources of Conversation Analysis and Membership Categorization for Psychological Science
Annual Review of Psychology ( IF 23.6 ) Pub Date : 2024-09-30 , DOI: 10.1146/annurev-psych-020124-023147
Elizabeth Stokoe, Geoffrey Raymond, Kevin A. Whitehead

This article reviews two related approaches—conversation analysis (CA) and membership categorization analysis (MCA)—to sketch a systematic framework for exposing how categories and categorial phenomena are (re)produced in naturally occurring social interaction. In so doing, we argue that CA and MCA address recent concerns about psychological methods and approaches. After summarizing how categories are typically theorized and studied, we describe the main features of a CA approach to categories, including how this differs from conventional psychology. We review the core domains of research in CA and how categories can be studied systematically in relation to the basic machinery of talk and other conduct in interaction. We illustrate these domains through examples from different settings of recorded naturally occurring social interaction. After considering the applications that have arisen from CA and MCA, we conclude by drawing together the implications of this work for psychological science.

中文翻译:


社交互动中的类别:解锁心理科学的会话分析和成员分类资源



本文回顾了两种相关的方法——对话分析 (CA) 和成员分类分析 (MCA),以勾勒出一个系统框架,用于揭示类别和分类现象如何在自然发生的社交互动中(重新)产生。在此过程中,我们认为 CA 和 MCA 解决了最近对心理学方法和途径的担忧。在总结了类别通常的理论化和研究方式之后,我们描述了 CA 方法对类别的主要特征,包括这与传统心理学的不同之处。我们回顾了 CA 研究的核心领域,以及如何根据谈话和其他互动行为的基本机制系统地研究类别。我们通过记录的自然发生的社交互动的不同设置的示例来说明这些领域。在考虑了 CA 和 MCA 产生的应用之后,我们总结了这项工作对心理科学的影响。
更新日期:2024-09-30
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