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  1. When Too Much Integration and Regulation Hurts: Reenvisioning Durkheims Altruistic Suicide

    Durkheim’s model of suicide famously includes four types: anomic, egoistic, altruistic, and fatalistic suicides; however, sociology has primarily focused on anomic and egoistic suicides and neglected suicides predicated on too much integration or regulation. This article addresses this gap. We begin by elaborating Durkheim’s concepts of integration and regulation using insights from contemporary social psychology, the sociology of emotions, and cultural sociology.

  2. The Association between Education and Mortality for Adults with Intellectual Disability

    Journal of Health and Social Behavior, Volume 58, Issue 1, Page 70-85, March 2017.
  3. On the Weak Mortality Returns of the Prison Boom: Comparing Infant Mortality and Homicide in the Incarceration Ledger

    The justifications for the dramatic expansion of the prison population in recent decades have focused on public safety. Prior research on the efficacy of incarceration offers support for such claims, suggesting that increased incarceration saves lives by reducing the prevalence of homicide. We challenge this view by arguing that the effects of mass incarceration include collateral infant mortality consequences that call into question the number of lives saved through increased imprisonment.
  4. Race Differences in Linking Family Formation Transitions to Women’s Mortality

    We examine how the timing and sequencing of first marriage and childbirth are related to mortality for a cohort of 4,988 white and black women born between 1922 and 1937 from the National Longitudinal Survey of Mature Women. We use Cox proportional hazard models to estimate race differences in the association between family formation transitions and mortality. Although we find no relationships between marital histories and longevity, we do find that having children, the timing of first birth, and the sequencing of childbirth and marriage are associated with mortality.
  5. Fuck Nuance

    Nuance is not a virtue of good sociological theory. Although often demanded and superficially attractive, nuance inhibits the abstraction on which good theory depends. I describe three “nuance traps” common in sociology and show why they should be avoided on grounds of principle, aesthetics, and strategy. The argument is made without prejudice to the substantive heterogeneity of the discipline.
  6. From the Bookshelf of a Sociologist of Diagnosis: A Review Essay

    The present essay will take readers through the bookshelf of this sociologist of diagnosis. It will demonstrate the wide-reaching topics that I consider relevant to the sociologist who considers diagnosis as a social object and also as a point of convergence where doctor and lay person encounter one another, where authority is exercised, health care is organized, political priorities are established, and conflict is enacted.

  7. Limitations of Design-based Causal Inference and A/B Testing under Arbitrary and Network Interference

    Randomized experiments on a network often involve interference between connected units, namely, a situation in which an individual’s treatment can affect the response of another individual. Current approaches to deal with interference, in theory and in practice, often make restrictive assumptions on its structure—for instance, assuming that interference is local—even when using otherwise nonparametric inference strategies.
  8. 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?
  9. The Problem of Underdetermination in Model Selection

    Conventional model selection evaluates models on their ability to represent data accurately, ignoring their dependence on theoretical and methodological assumptions. Drawing on the concept of underdetermination from the philosophy of science, the author argues that uncritical use of methodological assumptions can pose a problem for effective inference. By ignoring the plausibility of assumptions, existing techniques select models that are poor representations of theory and are thus suboptimal for inference.
  10. Qualitative Comparative Analysis in Critical Perspective

    Qualitative comparative analysis (QCA) appears to offer a systematic means for case-oriented analysis. The method not only offers to provide a standardized procedure for qualitative research but also serves, to some, as an instantiation of deterministic methods. Others, however, contest QCA because of its deterministic lineage. Multiple other issues surrounding QCA, such as its response to measurement error and its ability to ascertain asymmetric causality, are also matters of interest.