University of Exeter, Exeter, UK.
Br J Soc Psychol. 2024 Jan;63(1):205-233. doi: 10.1111/bjso.12674. Epub 2023 Aug 2.
Research in the social identity tradition acknowledges the multiplicity of our identities and the implications that identity compatibility has for our health and well-being. However, current measures of multiple group membership have not yet captured the richness and complexity of our social identity networks at the wider sample level, and data regarding the different behaviours typically associated with different group memberships are scarce. Adopting a network approach, we explore the co-occurrence of different group memberships within an individual (identity-by-identity network), the behaviours that are shared among identities (behaviour-by-identity network), and whether identities that are shared also share common behaviours (identity-by-behaviour network). An online survey asked participants (N = 286) to list the groups they are part of, as well as the behaviours viewed to be typical of group members. The networks identified several identities and behaviours to significantly co-occur at a rate both higher and lower than chance. Networks were found to be low in modularity; there was no evidence of clustering within the data. Permutation analyses demonstrated the overall structure of the networks to be significantly different than expected by chance. The co-occurrences identified serve as a meaningful resource for those conducting research into identities, group norms and their associated behaviours.
社会认同传统的研究承认我们身份的多样性，以及身份兼容性对我们健康和幸福的影响。然而，目前衡量多重群体归属的方法尚未在更广泛的样本层面上捕捉到我们社会认同网络的丰富性和复杂性，而且关于与不同群体归属相关的不同行为的数据也很匮乏。我们采用网络方法，探索个体内部不同群体归属的同时出现（身份对身份网络）、身份之间共享的行为（行为对身份网络），以及共享的身份是否也共享共同的行为（身份对行为网络）。一项在线调查要求参与者（N=286）列出他们所属的群体，以及被视为群体成员典型行为的群体。这些网络确定了一些身份和行为以高于或低于随机的频率显著同时出现。网络的模块性较低；数据中没有聚类的证据。置换分析表明，网络的整体结构明显不同于随机预期。所确定的同时出现为那些研究身份、群体规范及其相关行为的人提供了有意义的资源。
