American Sociological Association



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  1. Book Review: Journey into Social Activism: Qualitative Approaches

    In a preliminary content analysis of articles in the top social movement journals, Atkinson finds that scholars of social activism typically use a broad range of qualitative research methodologies. However, scholars of activism rarely elaborate on the methods they use. Similarly, previous research has largely failed to bring together and critically assess the qualitative methodologies used to study social activism.
  2. All That Is Solid: Bench-Building at the Frontiers of Two Experimental Sciences

    The belief that natural sciences are more scientific than the social sciences has been well documented in the perceptions of both lay and scientific populations. Influenced by the Kuhnian concept of "paradigm development" and empirical studies on the closure of scientific controversies, scholars from divergent traditions associate scientific development with increased consensus and stability. However, both the macro/quantitative and micro/qualitative approaches are limited in key ways.

  3. Shadow Capital: The Democratization of College Preparatory Education

    In this article, we examine the manifestation and consequences of shadow capital within two public, urban, nonselective, college preparatory–designated high schools serving exclusively nondominant students. Informed by three years of ethnographic data, we argue that the transference of a historically elite college preparatory education from dominant institutions to nondominant schools results in fundamental changes to the dominant capital it is expected to yield.
  4. Comment: Modeling of Coordination, Rate Functions, and Missing Ordering Information

    For my understanding of the article by Stadtfeld, Hollway, and Block (this volume, pp. 140), I found it helpful to consider the proximate literature and assess the position of this model in relation to other publications for statistical dynamic network models
  5. Dynamic Network Actor Models: Investigating Coordination Ties through Time

    Important questions in the social sciences are concerned with the circumstances under which individuals, organizations, or states mutually agree to form social network ties. Examples of these coordination ties are found in such diverse domains as scientific collaboration, international treaties, and romantic relationships and marriage. This article introduces dynamic network actor models (DyNAM) for the statistical analysis of coordination networks through time.
  6. Dedication: James A. Davis: Master of Social Surveys

    This volume of Sociological Methodology is dedicated to James Allan Davis, who died in Michigan City, Indiana, on September 29, 2016.1 A colleague of far-reaching accomplishments, Jim Davis originated the General Social Survey (GSS), a nationally representative study of the U.S. adult population conducted by the National Opinion Research Center (NORC) since 1972, and was a cofounder of the International Social Survey Program (ISSP), a set of replicated social surveys across several nations.
  7. Comment: Actor Orientation and Relational Event Models

    Sociological Methodology, Volume 47, Issue 1, Page 47-56, August 2017.
  8. Rejoinder: DyNAMs and the Grounds for Actor-oriented Network Event Models

    Sociological Methodology, Volume 47, Issue 1, Page 56-67, August 2017.
  9. Exponential-family Random Graph Models for Rank-order Relational Data

    Rank-order relational data, in which each actor ranks other actors according to some criterion, often arise from sociometric measurements of judgment or preference. The authors propose a general framework for representing such data, define a class of exponential-family models for rank-order relational structure, and derive sufficient statistics for interdependent ordinal judgments that do not require the assumption of comparability across raters.
  10. Multiplicative Models For Continuous Dependent Variables: Estimation on Unlogged versus Logged Form

    In regression analysis with a continuous and positive dependent variable, a multiplicative relationship between the unlogged dependent variable and the independent variables is often specified. It can then be estimated on its unlogged or logged form. The two procedures may yield major differences in estimates, even opposite signs.