ICPSR Summer Program in Quantitative Methods

The ICPSR Summer Program in Quantitative Methods of Social Research offers a comprehensive, integrated program of studies in research design, statistics, data analysis, and social methodology. The ICPSR Summer Program offers more than 50 different courses. Examples of topics covered in previous courses include the following:

• Regression analysis
• Categorical data analysis
• Hierarchical linear models
• Time-series analysis
• Longitudinal methods
• Spatial analysis
• Scaling and dimensional analysis
• Bayesian methods
• Game theory
• LISREL models
• Network analysis

The Summer Program offers basic methodological and technical training, along with opportunities for advanced work in specialized areas. It also provides active, participatory data-analytic experiences that complement formal lectures and discussions.

ICPSR has offered educational opportunities through the Summer Program since 1963, when the first cohort of 82 participants arrived in Ann Arbor, Michigan for intensive training in quantitative methods. The Program has grown mightily. It continues to provide quality instruction and to offer an impressive range of course options. Last year, a record 827 scholars attended the Summer Program. They represented 26 disciplines, 267 institutions, and more than a score of nations. The Program faculty represented 50 institutions and 11 disciplines.

In addition to two 4-week sets of courses, ICPSR offers intensive 1-week workshops in Ann Arbor, Michigan, and at several additional sites.

One-week workshops begin May 18, 2009. Four-week courses begin June 22, 2009.

Two of the courses offered are taught by StataCorp developers:

Panel Data Analysis Using Stata
David Drukker, Director of Econometrics
June 29–July 3, 2009

Analyzing Multilevel and Mixed Models Using Stata
Roberto G. Gutierrez, Director of Statistics
August 17–21, 2009

Another course highlighting Stata is also offered:

Categorical Data Analysis in Stata
J. Scott Long, Indiana University
June 15–19, 2009

J. Scott Long is the author of Regression Models for Categorical Dependent Variables Using Stata, Second Edition and The Workflow of Data Analysis Using Stata, both published by Stata Press.

For more information about course schedules, instructors, and fees, please visit www.icpsr.umich.edu/sumprog or contact the Program at

sumprog@icpsr.umich.edu

ICPSR Summer Program
P.O. Box 1248
Ann Arbor, MI 48106-1248

Voice: (734) 763-7400
Fax: (734) 647-9100