American Sociological Association

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  1. Stigma of a Label Educational Expectations for High School Students Labeled with Learning Disabilities

    Poorer outcomes for youth labeled with learning disabilities (LDs) are often attributed to the student’s own deficiencies or cumulative disadvantage; but the more troubling possibility is that special education placement limits rather than expands these students’ opportunities. Labeling theory partially attributes the poorer outcomes of labeled persons to stigma related to labels.

  2. The Public Stigma of Mental Illness What Do We Think; What Do We Know; What Can We Prove?

    By the 1990s, sociology faced a frustrating paradox. Classic work on mental illness stigma and labeling theory reinforced that the “mark” of mental illness created prejudice and discrimination for individuals and family members. Yet that foundation, coupled with deinstitutionalization of mental health care, produced contradictory responses. Claims that stigma was dissipating were made, while others argued that intervention efforts were needed to reduce stigma.

  3. Understanding Racial-ethnic Disparities in Health: Sociological Contributions

    This article provides an overview of the contribution of sociologists to the study of racial and ethnic inequalities in health in the United States. It argues that sociologists have made four principal contributions. First, they have challenged and problematized the biological understanding of race. Second, they have emphasized the primacy of social structure and context as determinants of racial differences in disease. Third, they have contributed to our understanding of the multiple ways in which racism affects health.

  4. Childhood Family Instability and Young Adult Health

    American children live in a variety of family structures throughout their childhoods. Such instability in family arrangements is common and has important demonstrated implications for short-term child outcomes. However, it is not known whether family instability experienced in childhood has enduring health consequences across the life course.
  5. Exchange, Identity Verification, and Social Bonds

    Although evidence reveals that the social exchange process and identity verification process each can produce social bonds, researchers have yet to examine their conjoined effects. In this paper, we consider how exchange processes and identity processes separately and jointly shape the social bonds that emerge between actors. We do this with data from an experiment that introduces the fairness person identity (how people define themselves in terms of fairness) in a negotiated exchange context.
  6. Creating an Age of Depression: The Social Construction and Consequences of the Major Depression Diagnosis

    One type of study in the sociology of mental health examines how social and cultural factors influence the creation and consequences of psychiatric diagnoses. Most studies of this kind focus on how diagnoses emerge from struggles among advocacy organizations, economic and political interest groups, and professionals.

  7. 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.
  8. 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.
  9. 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.
  10. Causal Inference with Networked Treatment Diffusion

    Treatment interference (i.e., one unit’s potential outcomes depend on other units’ treatment) is prevalent in social settings. Ignoring treatment interference can lead to biased estimates of treatment effects and incorrect statistical inferences. Some recent studies have started to incorporate treatment interference into causal inference. But treatment interference is often assumed to follow a simple structure (e.g., treatment interference exists only within groups) or measured in a simplistic way (e.g., only based on the number of treated friends).