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  1. An Introduction to the General Monotone Model with Application to Two Problematic Data Sets

    We argue that the mismatch between data and analytical methods, along with common practices for dealing with "messy" data, can lead to inaccurate conclusions. Specifically, using previously published data on racial bias and culture of honor, we show that manifest effects, and therefore theoretical conclusions, are highly dependent on how researchers decide to handle extreme scores and nonlinearities when data are analyzed with traditional approaches.

  2. Beyond Text: Using Arrays to Represent and Analyze Ethnographic Data

    Recent methodological debates in sociology have focused on how data and analyses might be made more open and accessible, how the process of theorizing and knowledge production might be made more explicit, and how developing means of visualization can help address these issues. In ethnography, where scholars from various traditions do not necessarily share basic epistemological assumptions about the research enterprise with either their quantitative colleagues or one another, these issues are particularly complex.

  3. Shrinkage Estimation of Log-odds Ratios for Comparing Mobility Tables

    Statistical analysis of mobility tables has long played a pivotal role in comparative stratification research. This article proposes a shrinkage estimator of the log-odds ratio for comparing mobility tables. Building on an empirical Bayes framework, the shrinkage estimator improves estimation efficiency by "borrowing strength" across multiple tables while placing no restrictions on the pattern of association within tables.

  4. Can Non-full-probability Internet Surveys Yield Useful Data? A Comparison with Full-probability Face-to-face Surveys in the Domain of Race and Social Inequality Attitudes

    The authors investigate the potential utility of Web-based surveys of non-full-probabilistically sampled respondents for social science research. Specifically, they compare demographic, attitude response, and multivariate model results produced by two distinct survey modalities: the traditional full-probability sample face-to-face survey and the non-full-probability Web survey.

  5. The Effect of Peer Review on Student Learning Outcomes in a Research Methods Course

    In this study, we test the effect of in-class student peer review on student learning outcomes using a quasiexperimental design. We provide an assessment of peer review in a quantitative research methods course, which is a traditionally difficult and technical course. Data were collected from 170 students enrolled in four sections of a quantitative research methods course, two in-class peer review sections, and two sections that did not incorporate in-class peer review over two semesters.

  6. Where the Rubber Meets the Road: Probability and Nonprobability Moments in Experiment, Interview, Archival, Administrative, and Ethnographic Data Collection

    Sociologists use data from experiments, ethnographies, survey interviews, in-depth interviews, archives, and administrative records. Analysts disagree, however, on whether probability sampling is necessary for each method. To address the issue, the author introduces eight dimensions of data collection, places each method within those dimensions, and uses that resource to assess the necessity and feasibility of probability sampling for each method. The author finds that some methods often seen as unique are not, whereas others’ unique natures are confirmed.
  7. Some Provisional Techniques for Quantifying the Degree of Field Effect in Social Data

    The authors present some relatively simple measures for the degree of organization of a social field, illustrating them with the intuitively accessible cases of fields that are organized by geographic space, and demonstrate that the measures are able to indicate when fields become more organized and that they can be applied to nongeographic data. Finally, the general approach highlights the danger of ignoring complexities of the functional form of spatial interdependence for social data.
  8. Science Policy

    HHS Releases Proposed Revisions to the Common Rule

  9. Samuel Stouffer and Relative Deprivation

    This paper first offers a tribute to Samuel Stouffer (1900–1960), a major contributor to social psychology. He helped to establish probability surveys as a useful method for social science, led three major studies at midcentury, and introduced important new concepts and statistical methods. Thus, both conceptually and methodologically, he shaped modern social psychology. Second, the paper revitalizes Stouffer’s most famous concept—relative deprivation.

  10. “Once You Go to a White School, You Kind of Adapt”: Black Adolescents and the Racial Classification of Schools

    Studies of when youth classify academic achievement in racial terms have focused on the racial classification of behaviors and individuals. However, institutions—including schools—may also be racially classified. Drawing on a comparative interview study, we examine the school contexts that prompt urban black students to classify schools in racial terms. Through Diversify, a busing program, one group of black students attended affluent suburban schools with white-dominated achievement hierarchies (n = 38).