A "Broken Egg" of U.S. Political Beliefs: Using Response-Item Network (ResIN) to Measure Ideological Polarization

Belief network analysis (BNA) has enabled major advances in the study of belief systems, capturing Converse’s understanding of the interdependence among multiple beliefs (i.e., constraint) more intuitively than conventional statistics. However, BNA models struggle with representing political divisions that follow a spatial logic, such as the “left-right” or “liberal-conservative” ideological divide. We argue that Response Item Networks (ResINs) are advantageous for such analyses as they model belief systems in a latent ideological space. In addition to retaining many desirable properties inherent in BNA, ResIN can uncover ideological polarization in a visually intuitive, theoretically grounded, and statistically robust fashion. We demonstrate the advantages of ResIN by analyzing ideological polarization with regard to five hot-button issues from 2000 to 2020 using the American National Election Studies (ANES), and by comparing it against an equivalent procedure using BNA. Furthermore, we introduce system-level and attitude-level polarization measures afforded by ResIN, and discuss their potential to enrich the analysis of ideological polarization. Our analysis shows that ResIN allows us to observe much more detailed dynamics of polarization than classic BNA approaches.