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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. Accepting a Job Below One's Skill Level Can Adversely Affect Future Employment Prospects

    Accepting a job below one's skill level can be severely penalizing when applying for future employment because of the perception that someone who does this is less committed or less competent, according to new research from a sociologist at The University of Texas at Austin.

  3. Minorities' Homicide Victimization Rates Fall Significantly Compared to Whites'

    A new study reveals that while homicide victimization rates declined for whites, blacks, and Hispanics in the United States from 1990-2010, the drop was much more precipitous for the two minority groups.

  4. 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.

  5. U.S. Has 5 Percent of World's Population, But Had 31 Percent of its Public Mass Shooters From 1966-2012

    Despite having only about 5 percent of the world's population, the United States was the attack site for a disproportionate 31 percent of public mass shooters globally from 1966-2012, according to new research that will be presented at the 110th Annual Meeting of the American Sociological Association (ASA).

  6. Becoming a Stickup Kid

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

  7. From Patrick to John F.: Ethnic Names and Occupational Success in the Last Era of Mass Migration

    Taking advantage of historical census records that include full first and last names, we apply a new approach to measuring the effect of cultural assimilation on economic success for the children of the last great wave of immigrants to the United States. We created a quantitative index of ethnic distinctiveness of first names and show the consequences of ethnic-sounding names for the occupational achievement of the adult children of European immigrants.

  8. Brokers and the Earnings of Female Sex Workers in India

    This study examines whether working with a broker increases or reduces the payment received for the last client among female sex workers. Building on research on the informal economy and sex work, we formulate a positive embeddedness hypothesis, expecting a positive association, and an exploitation hypothesis, expecting a negative association. We analyze a large survey combined with intensive interview data on female sex workers in Andhra Pradesh, India. These data uniquely distinguish between the amount the sex worker actually received and the amount the client paid.

  9. 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.

  10. 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.