Town Heterogeneity and Affiliation: A Multilevel Analysis of Voluntary Association Membership

Abstract

This article develops and tests a general hypothesis derived from a theoretical perspective that links the individual-level outcome of voluntary association membership to the aggregate-level feature of town heterogeneity. The hypothesis predicts that heterogeneity will be negatively related to membership because, ceteris paribus, the potential for homophilous social network ties decreases with heterogeneity. The research examines heterogeneity with respect to four sociodemographic variables: education, income, industry, and race. To correctly separate individual effects from structural effects, nonlinear hierarchical models are employed. The results from models separately including each type of heterogeneity provide support for the hypothesis. Estimates from a model including all four types of heterogeneity suggest that race heterogeneity has the strongest impact on affiliation, although the effect of education heterogeneity also remains. The article concludes with a discussion of how future research on voluntary associations might further consider heterogeneity, with special emphasis on race heterogeneity.