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, PUBLPOL 339)
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)
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: 3-5
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: 3-4
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. This 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
Instructors:
Jaquith, A. (PI)
;
Pope, D. (PI)
;
Leshin, M. (TA)
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Instructors:
Jaquith, A. (PI)
;
Pope, D. (PI)
;
Leshin, M. (TA)
;
Luqueno, L. (TA)
;
Massengale, C. (TA)
EDUC 252: Introduction to Psychometrics
Concepts of reliability and validity; derivation and use of test scales and norms; mathematical models and procedures for test validation, scoring, and interpretation.
Terms: Win
| Units: 3
Instructors:
Domingue, B. (PI)
;
Ma, W. (TA)
EDUC 252L: Introduction to Psychometrics - Lab
This course will cover the material from
EDUC 252 in an applied setting. Emphasis will be in developing a capacity for applying and interpreting psychometrics techniques to real-world and simulated data.
Terms: Spr
| Units: 2
Instructors:
Domingue, B. (PI)
EDUC 265: History of Higher Education in the U.S. (AMSTUD 165, EDUC 165, HISTORY 158C)
Major periods of evolution, particularly since the mid-19th century. Premise: insights into contemporary higher education can be obtained through its antecedents, particularly regarding issues of governance, mission, access, curriculum, and the changing organization of colleges and universities.
Terms: Win
| Units: 3-5
Instructors:
Levine, E. (PI)
;
Bates, D. (TA)
EDUC 278: Introduction to Program Evaluation
The purpose of Introduction to Program Evaluation (
EDUC 278) is to provide an introduction to the field of program evaluation. Students taking this course will learn basic concepts and participate in intellectual debates in the field. This course is intended to examine issues and challenges faced by evaluators of educational and social programs. We will be working with real evaluation tasks throughout the course. The class will meet once a week for 2hrs 50 min. It is critical that you commit to reading all the material before class, so that the discussion is well-focused. During the last weeks of the course, an evaluation proposal of a real-world program will be developed. The proposal will become the final paper.
Terms: Spr
| Units: 2-3
Instructors:
Ruiz-Primo, M. (PI)
EDUC 326: Advanced Regression Analysis (SOC 384)
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)
;
Bhat, K. (TA)
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