群体认同测量与操纵方法的系统述评

A Systematic Review of Measurement and Manipulation Methods for Group Identification

摘要: 群体认同是理解群际关系的核心构念，当前研究方法体系源于西方个体主义文化，在中国集体主义情境下面临文化适应性缺陷与动态性捕捉不足的挑战。本文采用系统述评方法，先基于社会认同理论与自我分类理论梳理群体认同研究方法论的理论根基；接着将测量方法分为外显、内隐、行为与生理四类，操纵范式分为基础激活与情境调节两类，并从效度、信度、生态效度、文化适用性与操作可行性五个维度对各类方法进行批判性比较。本文提出，整合“理论–操纵–多方法测量”的三角验证策略是未来研究的黄金标准，要结合中国文化“集体联结”要素对现有方法进行本土化修订。最后，展望了虚拟现实、经验取样法与人工智能等前沿技术在捕捉认同动态性与交叉性方面的应用前景，旨在为构建有中国文化特色的群体认同方法学体系提供理论指导与实践启示。

Abstract: Group identity is a core construct for understanding intergroup relations. The current research methodology system originates from Western individualistic culture and faces challenges of deficiencies in cultural adaptability and inadequacies in capturing dynamics in the context of Chinese collectivism. This study adopts a systematic review approach: first, it sorts out the theoretical foundations of group identity research methodology based on Social Identity Theory and Self-Categorization Theory; second, it classifies measurement methods into four categories (explicit, implicit, behavioral, and physiological) and manipulation paradigms into two categories (basic activation and contextual modulation), and then conducts a critical comparison of various methods from five dimensions, namely validity, reliability, ecological validity, cultural applicability, and operational feasibility. This study proposes that the triangulation strategy integrating “theory-manipulation-multimethod measurement” is the gold standard for future research, and it is necessary to conduct localized revisions of existing methods by incorporating the “collective connection” element of Chinese culture. Finally, it prospects the application potential of cutting-edge technologies such as virtual reality (VR), experience sampling method (ESM), and artificial intelligence (AI) in capturing the dynamics and intersectionality of identity. The purpose of this study is to provide theoretical guidance and practical implications for constructing a methodology system for group identity with Chinese cultural characteristics.