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  1. The Emergence of Statistical Objectivity: Changing Ideas of Epistemic Vice and Virtue in Science

    The meaning of objectivity in any specific setting reflects historically situated understandings of both science and self. Recently, various scientific fields have confronted growing mistrust about the replicability of findings, and statistical techniques have been deployed to articulate a “crisis of false positives.” In response, epistemic activists have invoked a decidedly economic understanding of scientists’ selves. This has prompted a scientific social movement of proposed reforms, including regulating disclosure of “backstage” research details and enhancing incentives for replication.
  2. Terror, Terrorism, Terrorists

    The terms terror, terrorism, and terrorist do not identify causally coherent and distinct social phenomena but strategies that recur across a wide variety of actors and political situations. Social scientists who reify the terms confuse themselves and render a disservice to public discussion. The U.S. government's own catalogs of terrorist events actually support both claims.

  3. 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.
  4. 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.
  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. 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.
  7. Income Inequality and Population Health: A Global Gradient?

    Cross-national empirical research about the link between income inequality and population health produces conflicting conclusions. We address these mixed findings by examining the degree to which the income inequality and health relationship varies with economic development. We estimate fixed-effects models with different measures of income inequality and population health. Results suggest that development moderates the association between inequality and two measures of population health. Our findings produce two generalizations.
  8. Better Together? Interracial Relationships and Depressive Symptoms

    Previous research shows that married and cohabiting individuals are happier and enjoy greater levels of psychological well-being than single individuals. However, most of this research relies on data from intraracial—mostly white—couples, and less is known about the emotional health outcomes of individuals in interracial partnerships. This study uses fixed-effects regression to examine depressive symptoms among those transitioning into intraracial and interracial relationships in the National Longitudinal Study of Adolescent to Adult Health.

  9. Response to Morgan: On the Role of Status Threat and Material Interests in the 2016 Election

    I am delighted to have the opportunity to respond to Morgan’s article, which is a critique of my recent publication (Mutz 2018). I will restrict my response to matters concerning the data and analysis, excluding issues such as whether the journal PNAS is appropriately named (Morgan this issue:3) as well as Morgan’s views about how this work was covered in various media outlets (Morgan this issue:3–6). These issues are less important than whether material self-interest or status threat motivated Trump supporters.

  10. Race as an Open Field: Exploring Identity beyond Fixed Choices

    This paper uses new, nationally representative data to examine how Americans describe their own racial and ethnic identities when they are not constrained by conventional fixed categories. Recent work on shifting racial classifications and the fluidity of racial identities in the United States has questioned the subjective and cultural adequacy of fixed categorization schemes. Are traditional racial boundaries breaking down? We explore the possibility in three ways.