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291 - 300 of 308 results for: SOC

SOC 380W: Qualitative and Fieldwork Methods Workshop

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. nn 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.nn*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
Instructors: Torche, F. (PI)

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: Zhou, X. (PI)

SOC 384: New Models and Methods in the Social Sciences

Two-week intensive introduction to new statistical approaches. Emphasis is on applications. Topics may include network models, multilevel models, latent class models, mixed methods, new qualitative methods, growth models, geostatistical tools, survey-based experiments, new methods for estimating causal effects, web-based surveys, advanced discrete choice models, and diffusion models.
Last offered: Summer 2017 | Repeatable for credit

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

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 388: Log-Linear Models

Analysis of categorical data with log-linear and negative binomial models. Measures of fit and hypothesis testing.
Last offered: Autumn 2007

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 390: Graduate Individual Study

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