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1 - 10 of 42 results for: VPGE::Specialized

COMM 318: Quantitative Social Science Research Methods

An introduction to a broad range of social science research methods that are widely used in PhD work. Prerequisite: consent of instructor.
Terms: Spr | Units: 1-5 | Grading: Letter or Credit/No Credit
Instructors: Krosnick, J. (PI)

COMM 339: Questionnaire Design for Surveys and Laboratory Experiments: Social and Cognitive Perspectives (POLISCI 421K, PSYCH 231)

The social and psychological processes involved in asking and answering questions via questionnaires for the social sciences; optimizing questionnaire design; open versus closed questions; rating versus ranking; rating scale length and point labeling; acquiescence response bias; don't-know response options; response choice order effects; question order effects; social desirability response bias; attitude and behavior recall; and introspective accounts of the causes of thoughts and actions.
Terms: Aut | Units: 4 | Grading: Letter or Credit/No Credit
Instructors: Krosnick, J. (PI)

DESINST 215: The Design of Data

Our world is increasingly complex and laden with many forms of measurable data. Infographics abound, but whether explicit or not, the stories they tell are all designed. In this hyper-concentrated, hands-on course, students will learn to use mapping and design techniques to sort and synthesize data, unlock insights and communicate information. We will create four different types of maps and infographics and students will practice finding insight from both qualitative and quantitative information. Take this course if you are interested in learning how to navigate through and create for the complicated intersection of data and design.nnAdmission by application. See dschool.stanford.edu/classesn for more information.
Terms: Spr | Units: 3-4 | Grading: Letter or Credit/No Credit

ECON 292: Quantitative Methods for Empirical Research

This is an advanced course on quantitative methods for empirical research. Students are expected to have taken a course in linear models before. In this course I will discuss modern econometric methods for nonlinear models, including maximum likelihood and generalized method of moments. The emphasis will be on how these methods are used in sophisticated empirical work in social sciences. Special topics include discrete choice models and methods for estimating treatment effects.
Terms: Aut | Units: 2-5 | Grading: Letter or Credit/No Credit
Instructors: Imbens, G. (PI)

EDUC 200A: Introduction to Data Analysis and Interpretation

Primarily for master's students in the School of Education. Focus is on reading literature and interpreting descriptive and inferential statistics, especially those commonly found in education. Topics: basic research design, instrument reliability and validity, descriptive statistics, correlation, t-tests, one-way analysis of variance, and simple and multiple regression. All offerings of this course (whether meeting on Mon & Weds or Tues & Thurs) will be taught identically.
Terms: Aut | Units: 4 | Grading: Letter or Credit/No Credit

EDUC 200B: Introduction to Qualitative Research Methods

(Formerly EDUC 151.) Primarily for master's students: An introduction to the core concepts and methods of qualitative research. Through a variety of hands-on learning activities, readings, field experiences, class lectures, and discussions, students will explore the processes and products of qualitative inquiry.nnThis is a graduate level course. No undergraduates may enroll. Priority will be given to GSE students, and final enrollment depends on instructor approval after the first day of class.
Terms: Aut, Win | Units: 4 | Grading: Letter or Credit/No Credit

EDUC 260B: Advanced Statistical Methods for Observational Studies (CHPR 266, HRP 292, STATS 266)

Design principles and statistical methods for observational studies. Topics include: matching methods, sensitivity analysis, and instrumental variables. 3 unit registration requires a small project and presentation. Computing is in R. Pre-requisites: HRP 261 and 262 or STATS 209 ( HRP 239), or equivalent. See http://rogosateaching.com/somgen290/
Terms: Spr | Units: 2-3 | Grading: Medical Option (Med-Ltr-CR/NC)

EDUC 278: Introduction to Issues in Evaluation

Open to master's and doctoral students with priority to students in the School of Education. Focus is on the basic literature and major theoretical and practical issues in the field of program evaluation. Topics include: defining purpose, obtaining credible evidence, the role of the evaluator, working with stakeholder, values in evaluation, utilization, and professional standards. The course project is to design an evaluation for a complex national or international program selected by the instructor.
Terms: Spr | Units: 3-4 | Grading: Letter or Credit/No Credit

EDUC 292: Academic Writing for Clarity and Grace

Students will acquire helpful writing strategies, habits, and critical faculties; increase their sense of writing as revision; and leave them with resources that will support them in their own lifelong pursuit of good writing. Students will work on revising their own papers and editing papers of other students. Class will focus on exercises in a variety of critical writing skills: framing, concision, clarity, emphasis, rhythm, action, actors, argument, data, quotations, and usage. Course enrollment limited to graduate students.
Terms: Win | Units: 2-4 | Grading: Satisfactory/No Credit
Instructors: Jordan, Z. (PI)

EDUC 326: Advanced Regression Analysis

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).
Terms: Spr | Units: 3-5 | Grading: Letter or Credit/No Credit
Instructors: Smith, S. (PI)
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