American Sociological Association


The search found 46 results in 0.01 seconds.

Search results

  1. Estimating Income Statistics from Grouped Data: Mean-constrained Integration over Brackets

    Researchers studying income inequality, economic segregation, and other subjects must often rely on grouped data—that is, data in which thousands or millions of observations have been reduced to counts of units by specified income brackets.
  2. Item Location, the Interviewer–Respondent Interaction, and Responses to Battery Questions in Telephone Surveys

    Survey researchers often ask a series of attitudinal questions with a common question stem and response options, known as battery questions. Interviewers have substantial latitude in deciding how to administer these items, including whether to reread the common question stem on items after the first one or to probe respondents’ answers. Despite the ubiquity of use of these items, there is virtually no research on whether respondent and interviewer behaviors on battery questions differ over items in a battery or whether interview behaviors are associated with answers to these questions.
  3. Comment: Bayes, Model Uncertainty, and Learning from Data

    The problem of model uncertainty is a fundamental applied challenge in quantitative sociology. The authors’ language of false positives is reminiscent of Bonferroni adjustments and the frequentist analysis of multiple independent comparisons, but the distinct problem of model uncertainty has been fully formalized from a Bayesian perspective.
  4. We Ran 9 Billion Regressions: Eliminating False Positives through Computational Model Robustness

    False positive findings are a growing problem in many research literatures. We argue that excessive false positives often stem from model uncertainty. There are many plausible ways of specifying a regression model, but researchers typically report only a few preferred estimates. This raises the concern that such research reveals only a small fraction of the possible results and may easily lead to nonrobust, false positive conclusions. It is often unclear how much the results are driven by model specification and how much the results would change if a different plausible model were used.
  5. Estimating Heterogeneous Treatment Effects with Observational Data

    Individuals differ not only in their background characteristics but also in how they respond to a particular treatment, intervention, or stimulation. In particular, treatment effects may vary systematically by the propensity for treatment. In this paper, we discuss a practical approach to studying heterogeneous treatment effects as a function of the treatment propensity, under the same assumption commonly underlying regression analysis: ignorability.

  6. Inequality in Reading and Math Skills Forms Mainly before Kindergarten: A Replication, and Partial Correction, of “Are Schools the Great Equalizer?”

    When do children become unequal in reading and math skills? Some research claims that inequality grows mainly before school begins. Some research claims that schools cause inequality to grow. And some research—including the 2004 study ‘‘Are Schools the Great Equalizer?’’—claims that inequality grows mainly during summer vacations. Unfortunately, the test scores used in the Great Equalizer study suffered from a measurement artifact that exaggerated estimates of inequality growth. In addition, the Great Equalizer study is dated and its participants are no longer school-aged.
  7. Not in Your Backyard! Organizational Structure, Partisanship, and the Mobilization of Nonbeneficiary Constituents against “Fracking” in Illinois, 2013–2014

    In the interest of enlarging their constituencies, social movements often broaden mobilization efforts beyond the directly aggrieved, beneficiary populations. The authors examine this process through an analysis of a movement against unconventional oil and gas development (UOGD or “fracking”) in Illinois. Using data on more than 37,000 public comments submitted during a regulatory review of fracking, the authors examine the composition of the antifracking movement’s constituency.
  8. Place-based Inequality in “Energetic” Pain: The Price of Residence in Rural America

    Despite the tendency for some to view rural life or living close to nature with nostalgia, the unpalatable truth is that rural America is beset with many problems, including lower incomes, higher poverty rates, limited access to well-paying jobs, higher morbidity and mortality rates, inadequate access to health care, and lower educational attainment. In this study, we question whether this palpable rural disadvantage extends to residential energy costs, a subject with serious implications for the well-being of households.
  9. Visualizing Income Inequality and Mobility Together

    Research and public conversations about income inequality and intergenerational mobility will benefit from a new approach that jointly visualizes these two measures. The new mobility table proposed addresses this concern by scaling each quintile by the spread of income it represents. Implications of this approach for future analyses of inequality and mobility are discussed.
  10. Gender, Socioeconomic Status, and Diet Behaviors within Brazilian Families

    Existing literature documents the key role that parents play in transmitting diet behaviors to their children; however, less is known about differences by parent and child gender within families, especially with attention to household socioeconomic status (SES). We use nationally representative household data from Brazil and ask how parent-child associations of diet behavior differ by gender within lower- and higher-SES households.