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  1. Couples That Split Childcare Duties Have Higher Quality Relationships and Sex Lives

    Heterosexual couples that split childcare duties have higher quality relationships and sex lives than those who don't, according to new research that will be presented at the 110th Annual Meeting of the American Sociological Association (ASA). 

  2. Majority of Young Women and Men Prefer Egalitarian Relationships, Study Shows

    The majority of young women and men today would prefer an egalitarian relationship in which work and family responsibilities are shared equally between partners if that possibility were available to them, according to a new study from the University of Texas at Austin and the University of California-Santa Barbara.

  3. Lightness/Darkness of Skin Affects Male Immigrants' Likelihood of Gaining Employment

    Skin color is a significant factor in the probability of employment for male immigrants to the United States, according to a new study by two University of Kansas (KU) researchers.

  4. Microscopic Hair Comparison and the Sociology of Science

    Flawed forensics and overstated claims make scientific evidence tricky at trial.

  5. 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?

  6. Prayers, Protest, and Police: How Religion Influences Police Presence at Collective Action Events in the United States, 1960 to 1995

    Do police treat religious-based protest events differently than secular ones? Drawing on data from more than 15,000 protest events in the United States (1960 to 1995) and using quantitative methods, we find that law enforcement agents were less likely to show up at protests when general religious actors, actions, or organizations were present. Rather than reflecting privileged legitimacy, we find that this protective effect is explained by religious protesters’ use of less threatening tactics at events.

  7. Discrimination in Lending Markets: Status and the Intersections of Gender and Race

    Research documents that lenders discriminate between loan applicants in traditional and peer-to-peer lending markets, yet we lack knowledge about the mechanisms driving lenders’ behavior. I offer one possible mechanism: When lenders assess borrowers, they are implicitly guided by cultural stereotypes about the borrowers’ status. This systematically steers lenders toward funding higher status groups even when applicants have the same financial histories.

  8. 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.

  9. Orange Is Still Pink: Mental Illness, Gender Roles, and Physical Victimization in Prisons

    Although research has established a very strong relationship between the presence of a psychiatric disorder and victimization in prisons, some gaps remain in our understanding. This study considers the importance of gender differences in this relationship. Estimates based on the 2004 Survey of Inmates in State and Federal Correctional Facilities show that psychiatric disorders have a stronger relationship with victimization among male inmates than among female inmates. Yet the size of the gender difference varies greatly depending on the specific disorder.

  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.