American Sociological Association



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  1. 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.

  2. 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.

  3. Do‐It‐Yourself Urban Design: The Social Practice of Informal “Improvement” Through Unauthorized Alteration

    There are numerous ways in which people make illegal or unauthorized alterations to urban space.

  4. The Relevance of Organizational Sociology

    Brayden G. King reviews Manufacturing Morals: The Values of Silence in Business School Education by Michel Anteby, Hyper-Organization: Global Organizational Expansion by Patricia Bromley and John W. Meyer, The Vanishing American Corporation: Navigating the Hazards of a New Economy by Gerald F. Davis and The Fracturing of the American Corporate Elite by Mark S. Mizruchi. 

  5. Neoliberalism

    Johanna Bockman unpacks a hefty term, neoliberalism. She cites its roots and its uses, decoding it as a description of a “bootstraps” ideology that trumpets individualism and opportunity but enforces conformity and ignores structural constraints.

  6. 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.

  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 the Relationship between Time-varying Covariates and Trajectories: The Sequence Analysis Multistate Model Procedure

    The relationship between processes and time-varying covariates is of central theoretical interest in addressing many social science research questions. On the one hand, event history analysis (EHA) has been the chosen method to study these kinds of relationships when the outcomes can be meaningfully specified as simple instantaneous events or transitions.
  9. Comment: The Inferential Information Criterion from a Bayesian Point of View

    As Michael Schultz notes in his very interesting paper (this volume, pp. 52–87), standard model selection criteria, such as the Akaike information criterion (AIC; Akaike 1974), the Bayesian information criterion (BIC; Schwarz 1978), and the minimum description length principle (MDL; Rissanen 1978), are purely empirical criteria in the sense that the score a model receives does not depend on how well the model coheres with background theory. This is unsatisfying because we would like our models to be theoretically plausible, not just empirically successful.
  10. Comment: Evidence, Plausibility, and Model Selection

    In his article, Michael Schultz examines the practice of model selection in sociological research. Model selection is often carried out by means of classical hypothesis tests. A fundamental problem with this practice is that these tests do not give a measure of evidence. For example, if we test the null hypothesis β = 0 against the alternative hypothesis β ≠ 0, what is the largest p value that can be regarded as strong evidence against the null hypothesis? What is the largest p value that can be regarded as any kind of evidence against the null hypothesis?