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  1. Study Finds EITC Bolsters Recipients’ Self-Respect While Helping Them Financially

    America's welfare state is quietly evolving from needs-based to an employment-based safety net that rewards working families and fuels dreams of a better life, indicates a new study led by a Michigan State University (MSU) scholar.

    The major reason: the little-known Earned Income Tax Credit (EITC), a $65 billion federal tax-relief program for poor, working families. The program has been expanded dramatically during the past 25 years, while cash welfare has been sharply curtailed.

  2. Many Religious People View Science Favorably, But Reject Certain Scientific Theories

    A new study finds that many U.S. adults — roughly one in five — are deeply religious, know a lot about science, and support many practical uses of science and technology in everyday life, but reject scientific explanations of creation and evolution.

  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. The IRL Fallacy

    Putting the lie to "digital dualism" in an essay on the inseparability of online and offline selves.

  5. Dealing with the Diagnosis

    How naming a medical malady can be both horrifying for new parents and a key to unlocking resources and care.

  6. Do Fathers Sexual Behaviors Vary with the Sex of Firstborns? Evidence from 37 Countries

    This article investigates whether men’s sexual behavior is influenced by the sex of their firstborn children and, if so, at what stage of firstborns’ development this occurs. Using standardized data from 37 Demographic and Health Surveys (N = 61,801), I compare the sexual activities, sexually transmitted infection symptoms, and sexual ideologies of fathers with firstborn sons and fathers with firstborn daughters. I also explore whether fathers’ attitudes mediate the effects of firstborn sex.

  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. Cancer Diagnosis and Mental Health among Older White Adults: Moderating Role for Social Networks?

    Cancer is a life-changing condition for many American seniors, and a growing body of literature is assessing the mental health implications of living with the disease. This article builds from the well-known buffering hypothesis with insights from recent cancer research to investigate whether social networks moderate the association between cancer and mental health for older men and women.

  9. The Impact of Armed Conflict in the Country of Origin on Mental Health after Migration to Canada

    This article examines mental health differences among migrants who emigrated from both armed conflict countries and non–conflict countries versus native-born Canadians. We propose that the impact of armed conflict on mental health depends on defining characteristics of the conflict. Our analysis of migrants to Toronto, Canada, suggests that exposure to major intrastate conflicts have long-term impacts on depression among women and anxiety levels among men after migration. We assess the role of different stages and types of stress proliferation in explaining these differences.

  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.