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Measuring Group Alignment in Public Opinion

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  • Barari, Soubhik

    (NORC (National Opinion Research Center) at the University of Chicago)

Abstract

Issue polling typically reports group opinion one item at a time. However, democratic governance demands that groups act on agendas and form coalitions across multiple issues simultaneously. This paper introduces a non-parametric measurement framework for group alignment: the strength of a particular group's cumulative support across a basket of policy proposals. The framework yields several complementary metrics centered around cumulative alignment, each capturing a distinct facet of within-group opinion cohesion. Applying the framework to the Cooperative Election Study (2008-2024), I find that cross-issue alignment is remarkably low even in an era of sharp partisan sorting: while individual policy items command majority coalitions of 60–90% support among co-partisans, the share of cumulative majorities across every item in the core battery is nearly zero. Democrats exhibit modestly higher alignment than Republican, and Republicans experienced a decline in alignment during the first Trump presidency. Across racial, generational, and educational groups we similarly identify more- and less-aligned groups which are robust to alternative issue baskets and nonresponse assumptions. The framework offers researchers a transparent and interpretable method for summarizing intra-group opinion structure, tracking cohesion over time, and identifying the fault lines along which political coalitions may fracture.

Suggested Citation

  • Barari, Soubhik, 2026. "Measuring Group Alignment in Public Opinion," SocArXiv 4xgfb_v1, Center for Open Science.
  • Handle: RePEc:osf:socarx:4xgfb_v1
    DOI: 10.31219/osf.io/4xgfb_v1
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    References listed on IDEAS

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    1. Huddy, Leonie & Mason, Lilliana & Aarøe, Lene, 2015. "Expressive Partisanship: Campaign Involvement, Political Emotion, and Partisan Identity," American Political Science Review, Cambridge University Press, vol. 109(1), pages 1-17, February.
    2. Mehlhaff, Isaac D., 2024. "A Group-Based Approach to Measuring Polarization," American Political Science Review, Cambridge University Press, vol. 118(3), pages 1518-1526, August.
    3. McKelvey, Richard D., 1976. "Intransitivities in multidimensional voting models and some implications for agenda control," Journal of Economic Theory, Elsevier, vol. 12(3), pages 472-482, June.
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