211 - 220 of 228 results for: SOC

Presentations and discussion of ongoing ethnographic, interview-based, and other fieldwork research by faculty and students . May be repeated for credit. Prerequisite: Sociology doctoral student or consent of instructor.

Restricted to first-year Sociology doctoral students. This course provides a conceptual and applied introduction to quantitative social science methodology, including epistemology, measurement, sampling, descriptive statistics, statistical inference, and ordinary least squares regression. Students will be introduced to both the methodological logic and techniques of statistical data analysis, including application in the software R. The course will situate quantitative methodology within the broader frame of sociological research. It will present the purpose, goals, and assumptions behind techniques of statistical analysis and will discuss applications to analyzing data and interpreting results. In addition to the lecture time, SOC 381 includes a weekly section for further practice with statistical software and application.

Enrollment limited to first-year Sociology doctoral students. Other students by instructor permission only. Required for Ph.D. in Sociology. Rigorous treatment of linear regression models, model assumptions, and various remedies for when these assumptions are violated. Introduction to panel data analysis. Enrollment limited to 15. Prerequisites: 381.

Required for Ph.D. in Sociology; other students by instructor permission only. enrollment limited to first-year Sociology doctoral students. The rationale for and interpretation of static and dynamic models for the analysis of discrete variables. Prerequisites: 381 and 382, or equivalents.

Social science researchers often deal with complex data and research questions that traditional statistics models like linear regression cannot adequately address. This course offers the opportunity to understand and apply two widely used types of advanced regression analysis that allow the examination of 1) multilevel data structures (multilevel models) and 2) multivariate research questions (structural equation models).

Workshop on research methods and writing research papers for second year Sociology doctoral students. Ongoing student research, methodological problems, writing challenges, and possible solutions. Required for second year paper.

Workshop on research methods and writing research papers for second year Sociology doctoral students. Ongoing student research, methodological problems, writing challenges, and possible solutions. Required for second year paper.

The purpose of this course is to pass along tips and tricks for publishing your work in peer-reviewed academic journals, to ensure you get constructive feedback on your writing (rather than the research), and to practice giving constructive writing feedback to others. It will help you make time to: revise a piece of scholarship for publication, and think about what you are writing, for whom, and why. Enrollment is by permission only. Prerequisite: Sociology graduate student with an unpublished draft of original research, such as a completed qualifying paper. Priority given to PhD students in their 3rd and 4th years.

Doctoral research seminar, limited to Ph.D. students. Provides an overview of research on meso-level organizational theory. Topics include classic and contemporary research on work and occupations, sociology of professions and expertise, meso-level theories on roles, jurisdictional conflicts, status, and authority, occupational drivers of technology adoption and implementation in the workplace, and the importance of organizational practices in addressing (or worsening) inequality. The course covers both foundational research as well as more recent empirical scholarship on these topics. Students are expected to use this course to make progress on their research projects/papers.