The Diffusion of Politically Expert Opinion Within and Among Groups

This paper employs a small group experiment to study the process of political influence within social networks. Each experimental session involves seven individuals, where privately obtained information is costly but communication within the group is free. Hence, individuals form prior judgments regarding candidates based on public and private information before updating their priors through a process of social communication. In general, individuals select expert informants with political preferences similar to their own, and we consider the dynamic implications for individual and group preferences. In particular, we address the diffusion of information based on a DeGroot model which provides a dynamic formulation of the influence process. We are particularly interested in the implications that arise due to varying levels of information among participants for (1) the construction of communication networks, (2) the relative influence of better informed individuals; (3) relative levels of reliance on priors and communicated messages; (4) the consequences of memory decay for the influence of experts; and (5) the diffusion of information and patterns of persuasion

Networks of Mobilization: Student Involvement in a Municipal Election

An enduring issue in the study of political participation is the extent to which political awareness and engagement are socially or individually motivated. We address these issues in the context of a municipal election which generated a high level of political engagement on the part of college students for whom the election was relevant. An effort was made to interview all these students using an on-line survey, and the students were asked to provide information on their friendship networks. The paper demonstrates that awareness and engagement are not simply a consequence of individually defined interests and awareness, but rather that individuals are informed and engaged based on their locations within structured networks of social interaction

Replication data for: An Analysis of ANES Items and Their Use in the Construction of Political Knowledge Scales

Valid comparisons of group scores on additive measures such as political knowledge scales require that the conditional response probabilities for individuals on the observed items be invariant across groups after controlling for their overall level of the latent trait of interest. Using a multi-group confirmatory factor analysis of knowledge items drawn from American National Election Studies, we find that the scales used in recent research are not sufficiently invariant for valid comparisons across a host of theoretically important grouping variables. We demonstrate that it is possible to construct valid invariant scales using a subset of items and show the impact of invariance by comparing results from the valid and invalid scales. We provide an analysis of differential item functioning (DIF) based on grouping variables commonly used in political science research to explore the utility of each item in the construction of valid knowledge scales. An application of the vanishing tetrad test suggests it is more appropriate to conceive of these items as effects of a latent variable rather than cause or formative indicators. These results suggest that models attempting to explain apparent knowledge gaps between subgroups have been unsuccessful because previously constructed scales were validated by fiat