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  1. Do Sociology Courses Make More Empathetic Students? A Mixed-Methods Study of Empathy Change in Undergraduates

    Assessing course goals is often challenging; assessing an abstract goal, like empathy, can be especially so. For many instructors, empathy is central to sociological thinking. As such, fostering empathy in students is a common course goal. In this article, we report the initial findings of a semester-long assessment of empathy change in undergraduate students (N = 619). We employ a mixed-methods research design that utilizes qualitative instructor data to determine independent instructor-level variables and student surveys to measure student empathy change.
  2. Preventing Violence: Insights from Micro-Sociology

    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).
  3. Women’s Assessments of Gender Equality

    Women’s assessments of gender equality do not consistently match global indices of gender inequality. In surveys covering 150 countries, women in societies rated gender-unequal according to global metrics such as education, health, labor-force participation, and political representation did not consistently assess their lives as less in their control or less satisfying than men did. Women in these societies were as likely as women in index-equal societies to say they had equal rights with men.
  4. Network Effects in Blau Space: Imputing Social Context from Survey Data

    We develop a method of imputing ego network characteristics for respondents in probability samples of individuals. This imputed network uses the homophily principle to estimate certain properties of a respondent’s core discussion network in the absence of actual network data. These properties measure the potential exposure of respondents to the attitudes, values, beliefs, and so on of their (likely) network alters.

  5. “Daddies,” “Cougars,” and Their Partners Past Midlife: Gender Attitudes and Relationship and Sexual Well-Being among Older Adults in Age-Heterogenous Partnerships

    Discussion of “daddies” has exploded in popular discourse, yet there is little sociological research on age-heterogenous partnerships. This paper uses data from the 2013 Midlife in the United States survey and the 2015–2016 National Social Life, Health, and Aging Project to examine age-heterogenous partnerships at older ages (63 was the approximate average age of each sample).

  6. Economic Populism and Bandwagon Bigotry: Obama-to-Trump Voters and the Cross Pressures of the 2016 Election

    Through an analysis of validated voters in the 2016 American National Election Study, this article considers the voters who supported Obama in 2012 and Trump in 2016. More than 5.7 million in total, Obama-to-Trump voters were crucial to Trump’s victory in the Electoral College. They were more likely to be white, working class, and resident in the Midwest. They had lower levels of political interest, were centrist in both party affiliation and ideology, and were late deciders for the 2016 election.
  7. The Distribution of School Quality: Do Schools Serving Mostly White and High-SES Children Produce the Most Learning?

    What is schools’ role in the stratification system? One view is that schools are an important mechanism for perpetuating inequality because children from advantaged backgrounds (white and high socioeconomic) enjoy better school learning environments than their disadvantaged peers. But it is difficult to know this with confidence because children’s development is a product of both school and nonschool factors, making it a challenge to isolate school’s role.
  8. CASM: A Deep-Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media

    Protest event analysis is an important method for the study of collective action and social movements and typically draws on traditional media reports as the data source. We introduce collective action from social media (CASM)—a system that uses convolutional neural networks on image data and recurrent neural networks with long short-term memory on text data in a two-stage classifier to identify social media posts about offline collective action. We implement CASM on Chinese social media data and identify more than 100,000 collective action events from 2010 to 2017 (CASM-China).
  9. Teaching Replication to Graduate Students

    Replicating published studies promotes active learning of quantitative research skills. Drawing on experiences from a replication course, we provide practical tips and reflections for teachers who consider incorporating replication in their courses. We discuss teaching practices and challenges we encountered at three stages of a replication course: student recruitment, course structure and proceedings, and learning outcomes. We highlight that by engaging in replication, students learn from established scholarly work in a collaborative and reflective manner.
  10. The Sociological Canon, Relations between Theories and Methods, and a Latent Political Structure: Findings from a Survey of Sociology Students in Germany and Consequences for Teaching

    We discuss findings from a survey of sociology students in Germany and consequences for teaching. We focus on the de facto formation of a sociological canon, the relation between theories and methods, and effects of social and political characteristics on student’s scientific preferences. Our findings suggest that irrespective of an agreement of the sociological professionals on a common definition of a core, a de facto canon of theories and methods exists in teaching practices. Moreover, specific relations between sociological theories and methods occur in the data.