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  1. Differential Returns?: Neighborhood Attainment among Hispanic and Non‐Hispanic White New Legal Permanent Residents

    We use data from the New Immigrant Survey to examine patterns of residential attainment among Hispanic immigrants who recently became legal permanent residents (LPRs) relative to new LPR non‐Hispanic white immigrants. We focus on whether these Hispanic and non‐Hispanic white immigrants differ in their ability to transform human capital into residential advantage. Our results suggest that the answer depends on the neighborhood attribute in question.

  2. The Effects of Gentrification on Neighborhood Public Schools

    Gentrification is generally associated with improvements in neighborhood amenities, but we know little about whether the improvements extend to public schools. Using administrative data (from spring 1993 to spring 2004) from the third largest school district in the United States, we examine the relationships between gentrification and school‐level student math and reading achievement, and whether changes in the composition of the student body account for any changes in achievement.

  3. Dropping Out: Why Students Drop Out of High School and What Can Be Done About It

    Thomas B. Hoffer reviews Dropping Out: Why Students Drop Out of High School and What Can Be Done About It by Russell W. Rumberger.

  4. Why Liberals and Atheists Are More Intelligent

    The origin of values and preferences is an unresolved theoretical question in behavioral and social sciences.

  5. 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.
  6. Comment: The Inferential Information Criterion from a Bayesian Point of View

    As Michael Schultz notes in his very interesting paper (this volume, pp. 52–87), standard model selection criteria, such as the Akaike information criterion (AIC; Akaike 1974), the Bayesian information criterion (BIC; Schwarz 1978), and the minimum description length principle (MDL; Rissanen 1978), are purely empirical criteria in the sense that the score a model receives does not depend on how well the model coheres with background theory. This is unsatisfying because we would like our models to be theoretically plausible, not just empirically successful.
  7. The Problem of Underdetermination in Model Selection

    Conventional model selection evaluates models on their ability to represent data accurately, ignoring their dependence on theoretical and methodological assumptions. Drawing on the concept of underdetermination from the philosophy of science, the author argues that uncritical use of methodological assumptions can pose a problem for effective inference. By ignoring the plausibility of assumptions, existing techniques select models that are poor representations of theory and are thus suboptimal for inference.
  8. 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.
  9. How School Socioeconomic Status Affects Achievement Growth across School Transitions in Early Educational Careers

    Our study investigates how changing socioeconomic status (SES) composition, measured as percentage free and reduced priced lunch (FRL), affects students’ math achievement growth after the transition to middle school. Using the life course framework of cumulative advantage, we investigate how timing, individual FRL status, and legacy effects of a student’s elementary school SES composition each affect a student’s math achievement growth. We advance research on school transitions by considering how changing contexts affect achievement growth across school transitions.
  10. What’s Taking You So Long? Examining the Effects of Social Class on Completing a Bachelor’s Degree in Four Years

    Despite improved access in expanded postsecondary systems, the great majority of bachelor’s degree graduates are taking considerably longer than the allotted four years to complete their four-year degrees. Taking longer to finish one’s BA has become so pervasive in the United States that it has become the norm for official statistics released by the Department of Education to report graduation rates across a six-year window.