Studies of Latinx–white residential segregation and of Latinx residential attainment consistently report findings consistent with spatial assimilation. Nevertheless, most studies of this theory use statistical models that cannot account for multiple dimensions of neighborhoods that may influence residential attainment. In this article, we test predictions of the spatial assimilation model using discrete choice analyses, a multidimensional model.
We provide an overview of associations between income inequality and intergenerational mobility in the United States, Canada, and eight European countries. We analyze whether this correlation is observed across and within countries over time. We investigate Great Gatsby curves and perform metaregression analyses based on several papers on this topic. Results suggest that countries with high levels of inequality tend to have lower levels of mobility.
Unintended childbearing is associated with poorer parental well-being, but most scholarship in this area takes an individual-level approach to unintended childbearing. Drawing on couple data from the Early Childhood Longitudinal Study–Birth Cohort (ECLS-B), I treat unintended childbearing as a couple-level construct to provide a more comprehensive understanding of how individuals’ intentions, partners’ intentions, and gender are linked with psychological distress in the transition to parenthood. I make two chief contributions to prior research.
Micro-sociology of violence looks at what happens in situations where people directly threaten violence, but only sometimes carry it out. This process and its turning points have become easier to see in the current era of visual data: cell-phone videos, long-distance telephoto lenses, CCTV cameras. New cues and instruments are on the horizon as we look at emotional signals, body rhythms, and monitors for body signs such as heart rate (a proxy for adrenaline level).
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.
ASA speaks with sociology graduate student Simone Kolysh at the 2016 ASA Annual Meeting on August, 2016, in Seattle, WA. Kolysh talks about what it means to “do sociology,” how she uses sociology in her work, highlights of her work in the field, the relevance of sociological work to society, and her advice to students interested in entering the field.
Women’s opportunities have been profoundly altered over the past century by reductions in the social and structural constraints that limit women’s educational attainment. Do social constraints manifest as a suppressing influence on genetic indicators of potential, and if so, did equalizing opportunity mean equalizing the role of genetics? We address this with three cohort studies: the Wisconsin Longitudinal Study (WLS; birth years 1939 to 1940), the Health and Retirement Study, and the National Longitudinal Study of Adolescent Health (Add Health; birth years 1975 to 1982).
We examine how two sociological traditions account for the role of femininities in social domination. The masculinities tradition theorizes gender as an independent structure of domination; consequently, femininities that complement hegemonic masculinities are treated as passively compliant in the reproduction of gender. In contrast, Patricia Hill Collins views cultural ideals of hegemonic femininity as simultaneously raced, classed, and gendered.
This comment reassesses the prominent claim from Desmond, Papachristos, and Kirk (2016) (DPK) that 911 calls plummeted—and homicides surged—because of a police brutality story in Milwaukee (the Jude story). The results in DPK depend on a substantial outlier 47 weeks after the Jude story, the final week of data. Identical analyses without the outlier final week show that the Jude story had no statistically significant effect on either total 911 calls or violent crime 911 calls.
By carefully examining our original data and models, Zoorob identified a potential outlier that should be scrutinized when evaluating our findings. We thank him for raising this important point and for engaging in collaborative, problem-solving research.