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221 - 230 of 235 results for: SOC

SOC 379: Methods for Network Analysis

In this course, we learn how to collect and analyze social network data. We begin by learning the fundamentals of graph theory and replicating well-known network studies. In the process, we cover classic network methods from centrality to block-modeling. We then move to the frontiers of network analysis. Topics include visualization, modeling and simulation, dynamic network analysis, network experiments, semantic network analysis, and analyzing social networks at scale. Sources and ways of collecting network data will be discussed and students will apply methods they learn to data of their own.
Terms: Aut | Units: 4-5
Instructors: Hoffman, M. (PI)

SOC 380W: Workshop: Qualitative and Fieldwork Methods

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.
Terms: Aut, Win, Spr | Units: 1-3 | Repeatable for credit

SOC 381: Sociological Methodology I: Introduction

Enrollment limited to first-year Sociology doctoral students. Other students by instructor permission only. n This course provides a conceptual and applied introduction to quantitative social sciences methodology, including measurement, sampling and descriptive statistics, statistical inference, ANOVA, factor analysis, and ordinary least squares regression. Students will be introduced to both the methodological logic and techniques of statistical data analysis. The course will present the purpose, goals, and mathematical assumptions behind techniques of statistical analysis and will discuss applications to analyzing data and interpreting results. In addition to the lecture time, SOC381 includes a weekly lab section to learn statistical software and conduct applied research.n*Students enrolling in Soc381 are strongly encouraged to take a 1-week Math/Statistics refresher course from September 16 to September 20. Please contact the instructor at torche@stanford.edu for details
Terms: Aut | Units: 5

SOC 382: Sociological Methodology II: Principles of Regression Analysis

Preference to Sociology doctoral students. Other students by instructor permission only. Required for Ph.D. in Sociology. Enrollment limited to first-year Sociology doctoral students. 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.
Terms: Win | Units: 4-5
Instructors: Torche, F. (PI)

SOC 383: Sociological Methodology III: Models for Discrete Outcomes

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.
Terms: Spr | Units: 5
Instructors: Freese, J. (PI)

SOC 385A: Research Practicum 1

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.
Terms: Aut | Units: 2
Instructors: Freese, J. (PI)

SOC 385B: Research Practicum II

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.
Terms: Win | Units: 2

SOC 390: Graduate Individual Study

May be repeated for credit. Appropriate for in-person instruction.
Terms: Aut, Win, Spr, Sum | Units: 1-5 | Repeatable for credit

SOC 391: Graduate Directed Research

May be repeated for credit. Appropriate for in-person instruction.
Terms: Aut, Win, Spr, Sum | Units: 1-5 | Repeatable for credit

SOC 392: Curricular Practical Training

CPT course required for international students completing degree requirements. Appropriate for in-person instruction.
Terms: Aut, Win, Spr, Sum | Units: 1-5 | Repeatable for credit
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