Attitude networks as intergroup realities: Using network-modelling to research attitude-identity relationships in polarized political contexts

Abstract

We apply a newly developed attitude network-modelling technique (Response-Item Network, or ResIN) to study attitude-identity relationships in the context of hot-button issues that polarize the current US-American electorate. The properties of the network-method allow us to simultaneously depict differences in the structural organization of attitudes between groups and to explore the relevance of organized attitude-systems for group identity management. Individuals based on a sample of US-American crowd workers (N = 396) and the representative 2020 ANES data set (N = 8280), we model an attitude network with two conflictive partisan belief-systems. In the first step, we demonstrate that the structural properties of the attitude-network provide substantial information about latent partisan identities, thereby revealing which attitudes 'belong' to specific groups. In a second step, we evaluate the potential of attitudes to communicate identity-relevant information. Results from a vignette study suggest that people rely on their mental representations of attitude-identity links to structure and evaluate their social environment. By highlighting functional interdependences between (macro level) attitude structures and identity management, the presented findings help advancing the understanding of attitude-identity dynamics and socio-political cleavages.

Keywords: belief network analysis; item-response theory; polarization; political attitudes; social identity.