American Sociological Association



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  1. Gender-specific Pathways of Peer Influence on Adolescent Suicidal Behaviors

    The author explores new directions of understanding the pathways of peer influence on adolescent suicidal behavior by leveraging quasi-experimental variation in exposure to peer suicidal behaviors and tracing the flows of influence throughout school environments and networks. The author uses variation in peers’ family members’ suicide attempts to deploy an across–grade level, within-school analysis to estimate causal effects.

  2. Naturalizing Gender through Childhood Socialization Messages in a Zoo

    We draw on public observations conducted in a zoo to identify three instances in which adults make use of its specific spatial and symbolic resources to transmit socialization messages to children according to "naturalized" models of hegemonic gender difference. First, adults attribute gender to zoo animals by projecting onto them human characteristics associated with feminine and masculine stereotypes. Second, adults mobilize zoo exhibits as props for modeling their own normative gender displays in the presence of children.

  3. Negotiating the Diagnostic Uncertainty of Genomic Test Results

    Clinicians order next-generation genomic testing to address diagnostic uncertainty about the cause of a patient’s symptoms. Based on video-recorded observations, we examine geneticists as they return exome sequencing results to families. We find that in consultations, clinical geneticists’ interpretations of genomic findings frequently go beyond the laboratory report. The news delivery offers parents insight into the basis of clinicians’ judgment but also invites parents’ involvement in the determination of genetic causality.

  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.