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SOC 381: Sociological Methodology I:Introduction
2.00 - 3.00 Credits
Stanford University
Enrollment limited to first-year Sociology doctoral students. Basic math and statistics. Types of variables, how to recode and transform variables, and how to manage different types of data sets. Introduction to statistical packages and programming. 2-3 units, Aut (Levanon, A; Ku, M)
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SOC 381 - Sociological Methodology I:Introduction
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SOC 382: Sociological Methodology II:The General Linear Model
3.00 Credits
Stanford University
Preference to Sociology doctoral students. The general linear model for discrete and continuous variables. Introduction to model selection, the principles of estimation, assessment of fit, and modeling diagnostics. Enrollment limited to 15. Prerequisites: 281A,B or equivalents. 3-6 units, Win (Tuma, N)
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SOC 382 - Sociological Methodology II:The General Linear Model
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SOC 383: Sociological Methodology III:Advanced Models for Discrete Outcomes
3.00 Credits
Stanford University
Required for Ph.D. in Sociology; 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: 281A,B and 382, or equivalents. 4-5 units, Spr (Zhou, X)
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SOC 383 - Sociological Methodology III:Advanced Models for Discrete Outcomes
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SOC 384: New Models and Methods in the Social Sciences
2.00 - 5.00 Credits
Stanford University
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, surveybased experiments, new methods for estimating causal effects, webbased surveys, advanced discrete choice models, and diffusion models. 2-5 units, Sum (Grusky, D)
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SOC 384 - New Models and Methods in the Social Sciences
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SOC 385A: Research Practicum
1.00 Credits
Stanford University
Workshop on research methods. Ongoing student research, methodological problems, and possible solutions. 1-2 units, Aut (Staff)
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SOC 385A - Research Practicum
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SOC 385B: Research Practicum II
1.00 - 2.00 Credits
Stanford University
Continuation of 385A. 1-2 units, Win (England, P)
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SOC 385B - Research Practicum II
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SOC 388: Log-Linear Models
3.00 - 5.00 Credits
Stanford University
Analysis of categorical data with log-linear and negative binomial models. Measures of fit and hypothesis testing. 3-5 units, not given this year
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SOC 388 - Log-Linear Models
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SOC 389: Mixed Method Research Design and Analysis
3.00 - 5.00 Credits
Stanford University
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. 3-5 units, not given this year
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SOC 389 - Mixed Method Research Design and Analysis
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SOC 390: Graduate Individual Study
1.00 - 5.00 Credits
Stanford University
May be repeated for credit. 1-5 units, Aut (Staff), Win (Staff), Spr (Staff), Sum (Staff)
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SOC 390 - Graduate Individual Study
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SOC 391: Graduate Directed Research
1.00 - 5.00 Credits
Stanford University
May be repeated for credit. 1-5 units, Aut (Staff), Win (Staff), Spr (Staff), Sum (Staff)
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SOC 391 - Graduate Directed Research
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