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Mark J Brandt - One of the best experts on this subject based on the ideXlab platform.

  • evaluating Belief system networks as a theory of Political Belief system dynamics
    Personality and Social Psychology Review, 2021
    Co-Authors: Mark J Brandt, Willem Sleegers
    Abstract:

    A theory of Political Belief system dynamics should incorporate causal connections between elements of the Belief system and the possibility that Belief systems are influenced by exogenous factors. These necessary components can be satisfied by conceptualizing an individual's Belief system as a network of causally connected attitudes and identities which, via the interactions between the elements and the push of exogenous influences, produces the disparate phenomena in the Belief systems literature. We implement this Belief systems as networks theory in a dynamic Ising model and demonstrate that the theory can integrate at least six otherwise unrelated phenomenon in the Political Belief systems literature, including work on attitude consistency, cross-pressures, spillover effects, partisan cues, and ideological differences in attitude consensus. Our findings suggest that Belief systems are not just one thing, but emerge from the interactions between the attitudes and identities in the Belief system. All code is available: https://osf.io/aswy8/?view_only=99aff77909094bddabb5d382f6db2622.

  • what is central to Political Belief system networks
    Personality and Social Psychology Bulletin, 2019
    Co-Authors: Mark J Brandt, Chris G Sibley, Danny Osborne
    Abstract:

    A central challenge for identifying core components of a Belief system is examining the position of components within the structure of the entire Belief system. We test whether operational (i.e., p...

Willem Sleegers - One of the best experts on this subject based on the ideXlab platform.

  • evaluating Belief system networks as a theory of Political Belief system dynamics
    Personality and Social Psychology Review, 2021
    Co-Authors: Mark J Brandt, Willem Sleegers
    Abstract:

    A theory of Political Belief system dynamics should incorporate causal connections between elements of the Belief system and the possibility that Belief systems are influenced by exogenous factors. These necessary components can be satisfied by conceptualizing an individual's Belief system as a network of causally connected attitudes and identities which, via the interactions between the elements and the push of exogenous influences, produces the disparate phenomena in the Belief systems literature. We implement this Belief systems as networks theory in a dynamic Ising model and demonstrate that the theory can integrate at least six otherwise unrelated phenomenon in the Political Belief systems literature, including work on attitude consistency, cross-pressures, spillover effects, partisan cues, and ideological differences in attitude consensus. Our findings suggest that Belief systems are not just one thing, but emerge from the interactions between the attitudes and identities in the Belief system. All code is available: https://osf.io/aswy8/?view_only=99aff77909094bddabb5d382f6db2622.

Danny Osborne - One of the best experts on this subject based on the ideXlab platform.

Delia Baldassarri - One of the best experts on this subject based on the ideXlab platform.

  • Political Belief networks socio cognitive heterogeneity in american public opinion
    Social Science Research Network, 2010
    Co-Authors: Delia Baldassarri, Amir Goldberg
    Abstract:

    Most research on public opinion assumes that American Political views are structured by a Belief system with a clearly-defined liberal-conservative polarity; however, this is not true of all Americans. In this article we document systematic heterogeneity in the organization of Political attitudes and explain its basis in the sociodemographic profile of the respondents. We use Relational Class Analysis (RCA), a network-based method for detecting heterogeneity in collective patterns of opinion, to identify distinctive Belief networks, each shared by a different group of respondents. Analyzing ANES data between 1984 and 2004, we identify three groups of American citizens that remain stable throughout this period: it Ideologues, whose Political attitudes strongly align with either liberal or conservative categories; Alternatives, who are instead morally conservative but economically liberal, or vice versa; and Agnostics, who exhibit weak associations among Political Beliefs. Respondents’ sociodemographic profiles, particularly their income, education, and religiosity, lie at the core of the different ways in which they understand politics. When their economic interests and social identities are incompatible with the traditional liberal-conservative polarity (e.g., high earners with weak religious commitments), individuals gravitate toward alternative ways of conceptualizing the Political debate. These results raise important methodological questions concerning the assumption of population homogeneity.

Stephen Vaisey - One of the best experts on this subject based on the ideXlab platform.

  • Belief network analysis a relational approach to understanding the structure of attitudes
    American Journal of Sociology, 2017
    Co-Authors: Andrei Boutyline, Stephen Vaisey
    Abstract:

    Many accounts of Political Belief systems conceive of them as networks of interrelated opinions, in which some Beliefs are central and others peripheral. This article formally shows how such structural features can be used to construct direct measures of Belief centrality in a network of correlations. This method is applied to the 2000 ANES data, which have been used to argue that Political Beliefs are organized around parenting schemas. This structural approach instead yields results consistent with the central role of Political identity, which individuals may use as the organizing heuristic to filter information from the Political field. In light of recent accounts of Belief system heterogeneity, a search for population heterogeneity in this organizing logic was undertaken first by comparing 44 demographic subpopulations and then using inductive techniques. Contra these recent accounts, the study finds that Belief systems of different groups vary in the amount of organization but not in the logic that o...