American Sociological Association



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  1. Getting the Most Out of the U.S. Healthcare System

    Kids with life-threatening illnesses need cutting-edge technology and medical expertise, but families face uneven access and paths to such care.

  2. Cultivating S-P-E-L-L-E-R-S

    Indian-American spellers are known for dominance on the national stage and even host regional, culturally specific bees. How did the niche emerge?

  3. Civic Stratification and the Exclusion of Undocumented Immigrants from Cross-border Health Care

    This paper proposes a theoretical framework and an empirical example of the relationship between the civic stratification of immigrants in the United States, and their access to healthcare. We use the 2007 Pew Hispanic Center/Robert Wood Johnson Foundation Hispanic Healthcare Survey, a nationally representative survey of U.S. Latinos (N = 2,783 foreign-born respondents) and find that immigrants who are not citizens or legal permanent residents are significantly more likely to be excluded from care in both the United States and across borders.

  4. Using Identity Processes to Understand Persistent Inequality in Parenting

    Despite growing acceptance of a "new fatherhood" urging fathers to be engaged in family life, men’s relative contributions to housework and child care have remained largely stagnant over the past twenty years. Using data from in-depth interviews, we describe how identity processes may contribute to this persistent inequality in parenting. We propose that the specificity of men’s identity standards for the father role is related to role-relevant behavior, and that the vague expectations many associate with "new fatherhood" both contribute to and result from men’s underinvolvement.

  5. Cancer Diagnosis and Mental Health among Older White Adults: Moderating Role for Social Networks?

    Cancer is a life-changing condition for many American seniors, and a growing body of literature is assessing the mental health implications of living with the disease. This article builds from the well-known buffering hypothesis with insights from recent cancer research to investigate whether social networks moderate the association between cancer and mental health for older men and women.

  6. The Contingent Value of Embeddedness: Self-affirming Social Environments, Network Density, and Well-being

    Social capital theorists claim that belonging to a densely knit social network creates a shared identity, mutually beneficial exchange, trust, and a sense of belonging in that group. Taken together with the empirical research on the importance of social support and social integration for individuals’ well-being, there is reason to expect that the density of one’s personal social network should be positively related to well-being.

  7. A "Global Interdependence" Approach to Multidimensional Sequence Analysis

    Although sequence analysis has now become a widespread approach in the social sciences, several strategies have been developed to handle the specific issue of multidimensional sequences. These strategies have distinct characteristics related to the way they explicitly emphasize multidimensionality, interdependence, and parsimony.

  8. A Progressive Supervised-learning Approach to Generating Rich Civil Strife Data

    "Big data" in the form of unstructured text pose challenges and opportunities to social scientists committed to advancing research frontiers. Because machine-based and human-centric approaches to content analysis have different strengths for extracting information from unstructured text, the authors argue for a collaborative, hybrid approach that combines their comparative advantages.

  9. A Design and a Model for Investigating the Heterogeneity of Context Effects in Public Opinion Surveys

    Context effects on survey response, caused by the unobserved interaction between beliefs stored in personal memory and triggers generated by the structure of the survey instrument, are a pervasive challenge to survey research. The authors argue that randomized survey experiments on representative samples, when paired with facilitative primes, can enable researchers to model selection into variable context effects, revealing heterogeneity at the population level.

  10. An Introduction to the General Monotone Model with Application to Two Problematic Data Sets

    We argue that the mismatch between data and analytical methods, along with common practices for dealing with "messy" data, can lead to inaccurate conclusions. Specifically, using previously published data on racial bias and culture of honor, we show that manifest effects, and therefore theoretical conclusions, are highly dependent on how researchers decide to handle extreme scores and nonlinearities when data are analyzed with traditional approaches.