American Sociological Association



The search found 212 results in 0.026 seconds.

Search results

  1. The Connection between Neighboring and Volunteering

    Sociological theory predicts that volunteers are likely to be more socially integrated into their communities than nonvolunteers. In this study, we test this theory by examining three dimensions of relations to neighbors—contact, social engagement, and the perception that neighbors trust each other. We hypothesize reciprocal relations between volunteering and these three measures.

  2. White Integration or Segregation? The Racial and Ethnic Transformation of Rural and Small Town America

    Rural America has seemingly been “left behind” in an era of massive immigration and growing diversity. The arrival of new immigrants has exposed many rural whites, perhaps for the first time, to racial and ethnic minority populations. Do rural whites increasingly live in racially diverse nonmetropolitan places? Or is white exposure to racially diverse populations expressed in uneven patterns of residential integration from place to place? We link microdata from the Panel Survey of Income Dynamics (1989‐to‐2009 waves) to place data identified in the 1990–2010 decennial censuses.

  3. The Racial Composition of Neighborhoods and Local Schools: The Role of Diversity, Inequality, and School Choice

    In an education system that draws students from residentially based attendance zones, schools are local institutions that reflect the racial composition of their surrounding communities. However, with opportunities to opt out of the zoned public school system, the social and economic contexts of neighborhoods may affect the demographic link between neighborhoods and their public neighborhood schools.

  4. A Decomposition of Trends in Blacks’ and Whites’ Exposure to Other‐Race Neighbors, 2001–2011

    Using data from the Panel Study of Income Dynamics and two U.S. decennial censuses, we describe trends in blacks’ and whites’ exposure to other‐race neighbors between 2001 and 2011 and then identify the proximate sources of these trends. Our results show that whites experienced an increase in their exposure to black and other minority neighbors and a concurrent decrease in same‐race neighbors. Blacks’ exposure to both black and white neighbors declined somewhat between 2001 and 2011, while their exposure to nonblack minority neighbors increased substantially.

  5. Seeing Disorder: Neighborhood Stigma and the Social Construction of “Broken Windows”

    This article reveals the grounds on which individuals form perceptions of disorder. Integrating ideas about implicit bias and statistical discrimination with a theoretical framework on neighborhood racial stigma, our empirical test brings together personal interviews, census data, police records, and systematic social observations situated within some 500 block groups in Chicago. Observed disorder predicts perceived disorder, but racial and economic context matter more.

  6. Frame-Induced Group Polarization in Small Discussion Networks

    We present a novel explanation for the group polarization effect whereby discussion among like-minded individuals induces shifts toward the extreme. Our theory distinguishes between a quantitative policy under debate and the discussion’s rhetorical frame, such as the likelihood of an outcome. If policy and frame position are mathematically related so that frame position increases more slowly as the policy becomes more extreme, majority formation at the extreme is favored, thereby shifting consensus formation toward the extreme.
  7. The Spatial Proximity and Connectivity Method for Measuring and Analyzing Residential Segregation

    In recent years, there has been increasing attention focused on the spatial dimensions of residential segregation—from the spatial arrangement of segregated neighborhoods to the geographic scale or relative size of segregated areas. However, the methods used to measure segregation do not incorporate features of the built environment, such as the road connectivity between locations or the physical barriers that divide groups. This paper introduces the spatial proximity and connectivity (SPC) method for measuring and analyzing segregation.
  8. Estimating Income Statistics from Grouped Data: Mean-constrained Integration over Brackets

    Researchers studying income inequality, economic segregation, and other subjects must often rely on grouped data—that is, data in which thousands or millions of observations have been reduced to counts of units by specified income brackets.
  9. Deciding on the Starting Number of Classes of a Latent Class Tree

    In recent studies, latent class tree (LCT) modeling has been proposed as a convenient alternative to standard latent class (LC) analysis. Instead of using an estimation method in which all classes are formed simultaneously given the specified number of classes, in LCT analysis a hierarchical structure of mutually linked classes is obtained by sequentially splitting classes into two subclasses. The resulting tree structure gives a clear insight into how the classes are formed and how solutions with different numbers of classes are substantively linked to one another.
  10. Nonlinear Autoregressive Latent Trajectory Models

    Autoregressive latent trajectory (ALT) models combine features of latent growth curve models and autoregressive models into a single modeling framework. The development of ALT models has focused primarily on models with linear growth components, but some social processes follow nonlinear trajectories. Although it is straightforward to extend ALT models to allow for some forms of nonlinear trajectories, the identification status of such models, approaches to comparing them with alternative models, and the interpretation of parameters have not been systematically assessed.