American Sociological Association



The search found 107 results in 0.023 seconds.

Search results

  1. The Role of Social Media in Collective Processes of Place Making: A Study of Two Neighborhood Blogs in Amsterdam

    The wide use of social media has facilitated new social practices that influence place meaning. This paper uses a double case study of two neighborhood blogs in gentrifying communities, to explore the role of social media in sharing place associations and community formation. Drawing on Collins’ theory of interaction ritual chains, this research project investigates how the intertwining of online and offline interaction around the blogs creates interaction chains whereby the place associations of participants in the blog become more aligned, creating an alternative place narrative.

  2. The Connection between Neighboring and Volunteering

    Sociological theory predicts that volunteers are likely to be more socially integrated into their communities than nonvolunteers. In this study, we test this theory by examining three dimensions of relations to neighbors—contact, social engagement, and the perception that neighbors trust each other. We hypothesize reciprocal relations between volunteering and these three measures.

  3. Neoliberalism

    Johanna Bockman unpacks a hefty term, neoliberalism. She cites its roots and its uses, decoding it as a description of a “bootstraps” ideology that trumpets individualism and opportunity but enforces conformity and ignores structural constraints.

  4. Exchange, Identity Verification, and Social Bonds

    Although evidence reveals that the social exchange process and identity verification process each can produce social bonds, researchers have yet to examine their conjoined effects. In this paper, we consider how exchange processes and identity processes separately and jointly shape the social bonds that emerge between actors. We do this with data from an experiment that introduces the fairness person identity (how people define themselves in terms of fairness) in a negotiated exchange context.
  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. 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.
  7. 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.
  8. 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.
  9. 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.

  10. Telephone Versus Face-to-Face Interviews: Mode Effect on Semistructured Interviews with Children

    Usually, semistructured interviews are conducted face-to-face, and because of the importance of personal contact in qualitative interviews, telephone interviews are often discounted. Missing visual communication can make a telephone conversation appear less personal and more anonymous but can also help prevent some distortions and place the power imbalance between adult interviewer and (child) respondent into perspective.