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  1. Study Explores Reasons Behind Alcohol Abuse in Non-Heterosexual Women

    Non-heterosexual women who feel a disconnect between who they are attracted to and how they identify themselves may have a higher risk of alcohol abuse, according to a new study led by Amelia E. Talley, an assistant professor in Texas Tech University's Department of Psychological Sciences.

  2. Polygamy and Alcohol Linked to Physical Abuse in African Marriages

    African women in polygamous marriages or with alcoholic husbands have a significantly higher risk of being physically abused by their husbands than women in monogamous marriages or women whose husbands don't abuse alcohol, new research shows.

  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. Becoming a Stickup Kid

    Randol Contreras’ drug-robber respondents were not born criminals or torturers, so how did they become "stick-up kids"?

  5. Internal Wars, Taxation, and State Building

    This article addresses the question of whether and how internal wars can lead to state building. I offer a new conceptual framework for understanding the varied effects of internal conflict on state capacity, as measured through taxation. Contrary to the general scholarly consensus that internal wars make states fail, I hypothesize that like external wars, internal wars can lead to increased taxation when they enhance solidarity toward the state among the elite and motivate the state to strengthen and territorially expand the tax administration.

  6. How Initial Prevalence Moderates Network-based Smoking Change: Estimating Contextual Effects with Stochastic Actor-based Models

    We use an empirically grounded simulation model to examine how initial smoking prevalence moderates the effectiveness of potential interventions designed to change adolescent smoking behavior. Our model investigates the differences that result when manipulating peer influence and smoker popularity as intervention levers.

  7. Marital Histories and Heavy Alcohol Use among Older Adults

    We develop a gendered marital biography approach—which emphasizes the accumulating gendered experiences of singlehood, marriage, marital dissolution, and remarriage—to examine the relationship between marital statuses and transitions and heavy alcohol use. We test this approach using individual-level (n = 10,457) and couple-level (n = 2,170) longitudinal data from the Health and Retirement Study, and individual-level (n = 46) and couple-level (n = 42) in-depth interview data.

  8. Longitudinal Associations among Discordant Sexual Orientation Dimensions and Hazardous Drinking in a Cohort of Sexual Minority Women

    We examined differences between sexual minority women’s (SMW’s) sexual identity and sexual behavior or sexual attraction as potential contributors to hazardous drinking across a 10-year period. Data are from a longitudinal study examining drinking and drinking-related problems in a diverse, community-based sample of self-identified SMW (Wave 1: n = 447; Wave 2: n = 384; Wave 3: n = 354). Longitudinal cross-lagged models showed that SMW who report higher levels of identity-behavior or identity-attraction discordance may be at greater risk of concurrent and subsequent hazardous drinking.

  9. 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.

  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.