printer friendly pageCOMM 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
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
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 hands-on course, students will learn to use mapping and design techniques to sort and synthesize data, unlock insights and communicate information. 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. This class is for students of all experience levels.nAdmission by application. See
dschool.stanford.edu/classes for more information.
Terms: Spr
| Units: 3-4
Instructors:
Carter, C. (PI)
;
Maher, K. (PI)
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
Instructors:
Imbens, G. (PI)
;
Zhao, P. (TA)
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
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
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
Instructors:
Baiocchi, M. (PI)
;
Rogosa, D. (PI)
EDUC 278: Introduction to Program 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
Instructors:
Ruiz-Primo, M. (PI)
EDUC 292: Academic Writing in Graduate Education
In this workshop style course, you will learn principles for effective writing in graduate education and beyond. Beginning with consideration of the inherited and cultivated traditions informing your writing practices, you will examine the processes that best support your development as a writer; apply key rhetorical principles to your own writing and analyze those principles at work in other people's prose; practice writing about texts for a variety of purposes; and use feedback to revise your writing for both disciplinary-specific and public audiences. Master's students who are drafting a thesis and doctoral students who are working on qualifying papers or dissertations are especially encouraged to enroll.
Terms: Win
| Units: 2-4
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
Instructors:
Smith, S. (PI)
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