American Sociological Association



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  1. Comment: Snowball versus Respondent-Driven Sampling

    Leo Goodman (2011) provided a useful service with his clarification of the differences among snowball sampling as originally introduced by Coleman (1958-1959) and Goodman (1961) as a means for studying the structure of social networks; snowball sampling as a convenience method for studying hard-to-reach populations (Biernacki and Waldorf 1981); and respondent-driven sampling (RDS), a sampling method with good estimability for studying hard-to-reach populations (Heckathorn 1997, 2002, 2007; Salganik and Heckathorn 2004; Volz and Heckathorn 2008).

  2. Racial Mismatch in the Classroom: Beyond Black-white Differences

    Previous research demonstrates that students taught by teachers of the same race and ethnicity receive more positive behavioral evaluations than students taught by teachers of a different race/ethnicity. Many researchers view these findings as evidence that teachers, mainly white teachers, are racially biased due to preferences stemming from racial stereotypes that depict some groups as more academically oriented than others.

  3. School Context and the Gender Gap in Educational Achievement

    Today, boys generally underperform relative to girls in schools throughout the industrialized world. Building on theories about gender identity and reports from prior ethnographic classroom observations, we argue that school environment channels conceptions of masculinity in peer culture, fostering or inhibiting boys’ development of anti-school attitudes and behavior. Girls’ peer groups, by contrast, vary less strongly with the social environment in the extent to which school engagement is stigmatized as un-feminine.

  4. How Religious Composition Around the World Differs between Younger and Older Populations

    This graphic shows differences in the religious composition of people around the world by age group. Religious change caused by demographic processes is more than a hypothetical future possibility. The consequences of demographic differences can be seen today by comparing the religious composition of younger and older populations.

  5. Americans’ Perceptions of Transgender People’s Sex: Evidence from a National Survey Experiment

    Drawing on the first national survey experiment of its kind (n = 3,922), the authors examine Americans’ perceptions of transgender people’s sex and the factors that underlie these perceptions. The authors randomly assigned respondents to a vignette condition describing a transgender person whose self-identified gender (i.e., identifies as a man or a woman), age (i.e., adult or teenager), and gender conformity in physical appearance (i.e., conforming, nonconforming, ambiguous, or unspecified) had been experimentally manipulated.

  6. Light Privilege? Skin Tone Stratification in Health among African Americans

    Skin tone is a status characteristic used in society to evaluate and rank the social position of minorities. Although skin color represents a particularly salient dimension of race, its consequences for health remains unclear.

  7. Emergence of Third Spaces: Exploring Trans Students’ Campus Climate Perceptions Within Collegiate Environments

    Our study aims to understand trans students’ perceptions of campus climate, with a particular focus on students’ demographics, academic experiences, and cocurricular experiences. We use Bhabha’s concept of third space as an epistemological lens and Rankin and Reason’s transformational tapestry model as a theoretical framework. Using a national sample of 207 trans collegians from the National LGBTQ Alumnx Survey, we utilize regression analysis supplemented by an analysis of open-ended responses to highlight the experiences of trans respondents.

  8. A General Framework for Comparing Predictions and Marginal Effects across Models

    Many research questions involve comparing predictions or effects across multiple models. For example, it may be of interest whether an independent variable’s effect changes after adding variables to a model. Or, it could be important to compare a variable’s effect on different outcomes or across different types of models. When doing this, marginal effects are a useful method for quantifying effects because they are in the natural metric of the dependent variable and they avoid identification problems when comparing regression coefficients across logit and probit models.
  9. Masculinity and Minority Stress among Men in Same-sex Relationships

    Although previous research has examined associations among masculinity, sexual orientation, minority stress, and mental health, these studies focused exclusively on individuals as units of analysis. This study investigates how men in same-sex relationships uniquely experience minority stress associated with their perceptions and performances of masculinity, as individuals and as couples.

  10. Breaking Down Walls, Building Bridges: Professional Stigma Management in Mental Health Care

    Though most mental health care today occurs in community settings, including primary care, research on mental illness stigma tends to focus on hospitalization or severe mental illness. While stigma negatively impacts the health of those with a range of mental problems, relatively little research examines how providers work with clients to confront and manage mental illness stigma. Calling on 28 interviews with providers in a range of mental health care settings, this paper reveals providers’ roles in managing mental illness stigma.