American Sociological Association



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  1. Cancer-Related Debt and Mental-Health-Related Quality of Life among Rural Cancer Survivors: Do Family/Friend Informal Caregiver Networks Moderate the Relationship?

    Social connectedness generally buffers the effects of stressors on quality of life. Is this the case for cancer-related debt among rural cancer survivors? Drawing on a sample of 135 rural cancer survivors, we leverage family/friend informal caregiver network data to determine if informal cancer caregivers buffer or exacerbate the effect of cancer-related debt on mental-health-related quality of life (MHQOL).
  2. Computation and the Sociological Imagination

    Computational sociology leverages new tools and data sources to expand the scope and scale of sociological inquiry. It’s opening up an exciting frontier for sociologists of every stripe—from theorists and ethnographers to experimentalists and survey researchers. It expands the sociological imagination.

  3. Review Essay: See It with Figures

    The short story is that Kieran Healy’s Data Visualization: A Practical Introduction is a gentle introduction to the effective display of social science data using the R package ggplot2. It is beautifully put together, achingly clear, and effective.
  4. Community Entitativity and Civic Engagement

    This study applies the social psychological concept of entitativity to communities of place. Entitativity is the property of a collectivity that differentiates a coherent social group from an aggregate of individuals. This concept, which considers aspects of group life such as boundaries, interaction, shared goals, proximity, and similarity, provides a framework for understanding communities of place as a special type of social group.

  5. Urban Regimes in Small Russian Towns

    This article presents the outcomes of a research project conducted in five small Russian towns. Different coalitions between local actors take place in all communities. However, coalitions that meet the criteria of the urban regime (in Stone's classical interpretation) have been discovered, with certain reservations, only in two towns.

  6. The Geometry of Culture: Analyzing the Meanings of Class through Word Embeddings

    We argue word embedding models are a useful tool for the study of culture using a historical analysis of shared understandings of social class as an empirical case. Word embeddings represent semantic relations between words as relationships between vectors in a high-dimensional space, specifying a relational model of meaning consistent with contemporary theories of culture.
  7. Assessing Differences between Nested and Cross-Classified Hierarchical Models

    Sociological Methodology, Volume 49, Issue 1, Page 220-257, August 2019.
  8. Review Essay: Back to the Future

    In one of my undergraduate courses, I show students a photo of Paul Lazarsfeld and Frank Stanton. Of course, neither social scientist is familiar to them, but I argue to my students that Lazarsfeld had a bigger impact on the daily practice of sociology than any member of the Marx/Weber/Durkheim triumvirate they study in classical theory.

  9. A General Framework for Comparing Predictions and Marginal Effects across Models

    Many research questions involve comparing predictions or effects across multiple models. For example, it may be of interest whether an independent variable’s effect changes after adding variables to a model. Or, it could be important to compare a variable’s effect on different outcomes or across different types of models. When doing this, marginal effects are a useful method for quantifying effects because they are in the natural metric of the dependent variable and they avoid identification problems when comparing regression coefficients across logit and probit models.
  10. Visualizing Police Exposure by Race, Gender, and Age in New York City

    This figure depicts the disparities in average police stops in New York City from 2004 to 2012, disaggregated by race, gender, and age. Composed of six bar charts, each graph in the figure provides data for a particular population at the intersection of race and gender, focusing on black, white, and Hispanic men and women. Each graph also has a comparative backdrop of the data on police stops for black males.