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221 - 226 of 226 results for: SOC

SOC 385B: Research Practicum II

Continuation of 385A. Workshop on research methods for second year Sociology doctoral students. Ongoing student research, methodological problems, and possible solutions. Required for second year paper.

SOC 388: Log-Linear Models

Analysis of categorical data with log-linear and negative binomial models. Measures of fit and hypothesis testing.

SOC 389: Mixed Method Research Design and Analysis

Research designs that incorporate qualitative and quantitative analyses in a single project. The tension between thinking case-wise and variable-wise; how the focus on relationships between variables that is the hallmark of the quantitative approach can be brought into qualitative work.

SOC 393: Teaching Apprenticeship

| Repeatable for credit

SOC 635: Social Movements and Organziations

This research seminar is intended for students seeking to learn more about how collective action underpins institutional change in organizations and industries, and how the success of collective action, in turn, hinges on organizational structures and processes to recruit and mobilize individuals. The purpose of this course is to provide you a roadmap for you to roam the terrain of movements and organizations, and be prepared to generate original research ideas that extend inquiry in your chosen area of research.

SOC 670: Designing Social Research

This is a course in the design of social research, with a particular emphasis on research field (i.e., non-laboratory) settings. As such, the course is a forum for discussing and developing an understanding of the different strategies social theorists employ to explain social processes, develop theories, and make these theories as believable as possible. In general, these issues will be discussed in the context of sociological research on organizations, but this will not be the exclusive focus of the course. A range of topics will be covered, for example: formulating and motivating research questions; varieties of explanation; experimental and quasi-experimental methods, including natural experiments; counterfactual models; conceptualization and measurement; sampling and case selection; qualitative and quantitative approaches. This course is particularly oriented toward developing an appreciation of the tradeoffs of different approaches. It is well suited to Ph.D. students working on qualifying papers and dissertation proposals.
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