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  1. Beyond "Just Being There": Teaching Internationalization at Home in Two Qualitative Methods Units

    Study-abroad and international-student programs are commonly understood to transform their participants into "global citizens" possessing "cross-cultural competencies." Similar benefits are anticipated from "internationalization at home"—defined as any on-campus, internationally related activity—whereby international students engage with and thus enrich the lives of domestic students. In this article, we reflect on a research project tied to two coursework units, in which largely domestic undergraduate students undertake qualitative research with or about international students.

  2. An Assessment of Student Perceptions and Responses to Frequent Low-stakes Testing in Introductory Sociology Classes

    Common concerns for many instructors of introductory college courses are that their students do not prepare for or attend class, are minimally engaged, and exhibit poor reading comprehension and writing skills. How can instructors respond to these challenges? Research finds that frequent testing improves the learning outcomes of students. Can it motivate better studying habits and expand their engagement with the class?

  3. "It Didn't Seem Like Race Mattered": Exploring the Implications of Service-learning Pedagogy for Reproducing or Challenging Color-blind Racism

    Prior research measuring service-learning program successes reveals the approach can positively affect students’ attitudes toward community service, can increase students’ motivation to learn and ability to internalize class material, and can change their view of social issues. Studies also suggest that college students sometimes enter and leave a field site in ways that contribute to the reproduction of inequality.

  4. Fuck Nuance

    Nuance is not a virtue of good sociological theory. Although often demanded and superficially attractive, nuance inhibits the abstraction on which good theory depends. I describe three “nuance traps” common in sociology and show why they should be avoided on grounds of principle, aesthetics, and strategy. The argument is made without prejudice to the substantive heterogeneity of the discipline.
  5. From the Bookshelf of a Sociologist of Diagnosis: A Review Essay

    The present essay will take readers through the bookshelf of this sociologist of diagnosis. It will demonstrate the wide-reaching topics that I consider relevant to the sociologist who considers diagnosis as a social object and also as a point of convergence where doctor and lay person encounter one another, where authority is exercised, health care is organized, political priorities are established, and conflict is enacted.

  6. Limitations of Design-based Causal Inference and A/B Testing under Arbitrary and Network Interference

    Randomized experiments on a network often involve interference between connected units, namely, a situation in which an individual’s treatment can affect the response of another individual. Current approaches to deal with interference, in theory and in practice, often make restrictive assumptions on its structure—for instance, assuming that interference is local—even when using otherwise nonparametric inference strategies.
  7. Comment: Evidence, Plausibility, and Model Selection

    In his article, Michael Schultz examines the practice of model selection in sociological research. Model selection is often carried out by means of classical hypothesis tests. A fundamental problem with this practice is that these tests do not give a measure of evidence. For example, if we test the null hypothesis β = 0 against the alternative hypothesis β ≠ 0, what is the largest p value that can be regarded as strong evidence against the null hypothesis? What is the largest p value that can be regarded as any kind of evidence against the null hypothesis?
  8. 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.
  9. Qualitative Comparative Analysis in Critical Perspective

    Qualitative comparative analysis (QCA) appears to offer a systematic means for case-oriented analysis. The method not only offers to provide a standardized procedure for qualitative research but also serves, to some, as an instantiation of deterministic methods. Others, however, contest QCA because of its deterministic lineage. Multiple other issues surrounding QCA, such as its response to measurement error and its ability to ascertain asymmetric causality, are also matters of interest.

  10. Comparing Regression Coefficients Between Same-sample Nested Models Using Logit and Probit: A New Method

    Logit and probit models are widely used in empirical sociological research. However, the common practice of comparing the coefficients of a given variable across differently specified models fitted to the same sample does not warrant the same interpretation in logits and probits as in linear regression. Unlike linear models, the change in the coefficient of the variable of interest cannot be straightforwardly attributed to the inclusion of confounding variables. The reason for this is that the variance of the underlying latent variable is not identified and will differ between models.