HISTORY 399A: Preparing for International Field Work: Public Service or Research (HISTORY 299X)
Open to students in all classes, those planning internships abroad and those planning research, from juniors with honors theses and sophomores with Chappell Lougee grants to freshmen thinking ahead. Introduces resources on campus for planning international research and service. Raises issues that need to be considered in advance of going abroad: ethical concerns, Human Subjects Protocol, networking, personal safety and gender issues, confronting cultural differences. Exposes students to research methods: case studies, interviewing, working in foreign libraries and archives.
Terms: Spr

Units: 1

Grading: Satisfactory/No Credit
Instructors:
Kollmann, N. (PI)
;
Roberts, R. (PI)
HRP 223: Introduction to Data Management and Analysis in SAS
Provides handson introduction to basic data management and analysis techniques using SAS. Data management topics include: Introduction to SAS and SAS syntax, importing data, creating and reading SAS datasets, data cleaning and validation, creating new variables, and combining data sets. Analysis techniques include: basic descriptive statistics (e.g., means, frequency) and bivariate procedures for continuous and categorical variables (e.g., ttests, chisquares).
Terms: Aut

Units: 2

Grading: Medical Satisfactory/No Credit
Instructors:
Park, L. (PI)
;
Popat, R. (PI)
ORALCOMM 219: Oral Communication for Graduate Students
(Formerly
CTL 219.) Graduate student speaking activities such as teaching (delivering lectures, guiding discussion, and facilitating small groups), professional presentations and conference papers, and preparing for oral exams and defenses. Inclass projects, discussion, and individual evaluation assist students in developing effective techniques for improving oral communication skills.
Terms: Sum

Units: 12

Grading: Letter or Credit/No Credit
Instructors:
Allen, D. (PI)
POLISCI 421K: Questionnaire Design for Surveys and Laboratory Experiments: Social and Cognitive Perspectives (COMM 339, 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'tknow 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 (ABCD/NP)
Instructors:
Krosnick, J. (PI)
PSYCH 231: Questionnaire Design for Surveys and Laboratory Experiments: Social and Cognitive Perspectives (COMM 339, POLISCI 421K)
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'tknow 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 (ABCD/NP)
Instructors:
Krosnick, J. (PI)
PSYCH 252: Statistical Methods for Behavioral and Social Sciences
For students who seek experience and advanced training in empirical research. Analysis of data from experimental through factorial designs, randomized blocks, repeated measures; regression methods through multiple regression, model building, analysis of covariance; categorical data analysis through twoway tables. Integrated with the use of statistical computing packages. Prerequisite: 10 or equivalent.
Terms: Win

Units: 16

Grading: Letter or Credit/No Credit
SOC 280B: Introduction to Data Analysis (CSRE 180B, SOC 180B)
Methods for analyzing and evaluating quantitative data in sociological research. Students will be taught how to run and interpret multivariate regressions, how to test hypotheses, and how to read and critique published data analyses.
Terms: Spr

Units: 4

Grading: Letter (ABCD/NP)
Instructors:
Rosenfeld, M. (PI)
STATS 200: Introduction to Statistical Inference
Modern statistical concepts and procedures derived from a mathematical framework. Statistical inference, decision theory; point and interval estimation, tests of hypotheses; NeymanPearson theory. Bayesian analysis; maximum likelihood, large sample theory. Prerequisite: 116.
http://statweb.stanford.edu/~owen/courses/200
Terms: Aut, Win

Units: 3

Grading: Letter or Credit/No Credit
Instructors:
Owen, A. (PI)
;
Palacios, J. (PI)
;
Han, K. (TA)
;
Rajanala, S. (TA)
;
Ren, Z. (TA)
;
Roquero Gimenez, J. (TA)
;
Tsao, A. (TA)
;
Wu, Y. (TA)
STATS 202: Data Mining and Analysis
Data mining is used to discover patterns and relationships in data. Emphasis is on large complex data sets such as those in very large databases or through web mining. Topics: decision trees, association rules, clustering, case based methods, and data visualization. Prereqs: Introductory courses in statistics or probability (e.g.,
Stats 60), linear algebra (e.g.,
Math 51), and computer programming (e.g.,
CS 105).
Terms: Aut, Sum

Units: 3

Grading: Letter or Credit/No Credit
Instructors:
Patel, R. (PI)
;
Taylor, J. (PI)
;
Cai, F. (TA)
;
Feldman, M. (TA)
;
Guo, K. (TA)
;
Markovic, J. (TA)
;
Qian, J. (TA)
;
Ray, S. (TA)
;
Tirlea, M. (TA)
;
Wu, H. (TA)
STATS 203: Introduction to Regression Models and Analysis of Variance
Modeling and interpretation of observational and experimental data using linear and nonlinear regression methods. Model building and selection methods. Multivariable analysis. Fixed and random effects models. Experimental design. Pre or corequisite: 200.
Terms: Spr

Units: 3

Grading: Letter or Credit/No Credit
Instructors:
Johnstone, I. (PI)
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