The Inter‑university Consortium for Political and Social Research (ICPSR) is pleased to announce the 2010 Summer Program in Quantitative Methods of Social Research.
As many subscribers to this list already know, the main component of the ICPSR Summer Program is held on the campus of the University of Michigan, in Ann Arbor. Lectures and workshops on a wide variety of topics in research design, quantitative reasoning, statistical methods, and data processing are presented in two four‑week sessions. The first session runs from June 21, 2010 until July 16, 2010. The second session runs from July 19, 2010 until August 13, 2010. The contents of the two sessions are largely independent of each other, although some second‑session workshops do assume that participants are familiar with material from first‑session courses.
The 2010 ICPSR Summer Program will also offer a number of three‑ to five‑day workshops on both statistical and substantive topics throughout the summer. Most of these shorter workshops take place in Ann Arbor, but there are several that will be held in other locations: Amherst, MA; Bloomington, IN; Chapel Hill, NC; and New Haven, CT.
We would like to draw your attention to several noteworthy features in the 2010 ICPSR Summer Program.
· First, we are offering a number of new three- to five-day statistical workshops, including: “Data Analysis in Stata”, “Time Series Analysis: An Introduction for Social Scientists”, “Causal Inference in the Social Sciences: Matching, Propensity Scores, and Other Strategies”, and “Categorical Data Analysis: A Second Course.”
· Second, we are offering a number of short workshops that cover multilevel modeling: “Hierarchical Linear Models I: Introduction” (in Amherst, MA), “Hierarchical Linear Models II: Special Topics”, “Multilevel Models Using SAS and SPSS”, and “Analyzing Multilevel and Mixed Models Using Stata.”
· Third, we have several courses on network analysis: “Network Analysis: An Introduction”, “Social Network Analysis: An Introduction” (in Chapel Hill, NC), and “Network Analysis: Theory and Methods” (in Bloomington, IN).
· Fourth, we have a number of substantive workshops: “Dyadic Data Analysis: Models and Methods for the Study of Couples,” “The IPUMS Database: Census Microdata for Comparative Research,” “National Survey of Parents and Youth Data Workshop,” “Health Care Change in the United States: Working with the Community Tracking Study and Health Tracking Surveys,” “The NICHD Study of Early Child Care and Youth Development,” and “Conducting Research on Recidivism and Reentry.” Again, additional substantive workshops will be added to the Program in the coming weeks.
In developing the course list for the 2010 ICPSR Summer Program, we are responding to the expressed interests of the social scientific research community, and providing coverage of statistical procedures that are receiving increasing attention within methodological circles. We hope you find something that will be useful for your own work in the 2010 Program. And, we are always interested in feedback: Please let us know if you have any thoughts about our current course offerings or new topics that you would like to see us include in the curriculum.
The current course list for the 2010 ICPSR Summer Program is provided below. This list gives the complete set of statistical courses that the Program will offer in 2010. Note that the roster of short substantive workshops is still being put together; additional information will be provided on the Summer Program web site as it becomes available.
We are currently accepting applications for all of our statistical courses and for several of the substantive workshops. The application form, registration instructions, fee structure, and further information about the ICPSR Summer Program are all available on our web site:
http://icpsr.umich.edu/sumprog/
Please feel free to e‑mail us with any further questions at: [log in to unmask]
2010 ICPSR SUMMER PROGRAM COURSE LIST
All classes are held in Ann Arbor, MI, unless otherwise noted.
First Four‑Week Session (June 21‑July 16, 2010):
Lectures:
Mathematics for Social Scientists I
Mathematics for Social Scientists II
Introduction to Computing
Introduction to the R Statistical Computing Environment
Workshops:
Maximum Likelihood for Generalized Linear Models
Introduction to Game Theory
Advanced Game Theory
Methodological Issues in Quantitative Research on Race and Ethnicity
Quantitative Analysis of Crime and Criminal Justice
Introduction to Statistics and Data Analysis I
Regression Analysis I: Introduction
Regression Analysis II: Linear Models
Regression Analysis III: Advanced Methods
Introduction to Applied Bayesian Modeling for the Social Sciences
Rational Choice Theories of Politics and Society
Second Four‑Week Session (July 19‑August 13, 2010):
Lectures:
Introduction to Computing
Introductory/Review Lectures on Matrix Algebra
Introduction to the R Statistical Computing Environment
Workshops:
Categorical Data Analysis
Complex Systems Models in the Social Sciences
Introduction to Statistics and Data Analysis II
Regression Analysis II: Linear Models
Longitudinal Analysis
Advanced Topics in Maximum Likelihood Estimation
Time Series Analysis
Advanced Bayesian Models for the Social Sciences
Simultaneous Equation Models
Advanced Multivariate Statistical Methods
Structural Equation Models with Latent Variables
The Hubert M. Blalock Lecture Series in Advanced Methods of Social Research (Preliminary List of Topics):
Data Mining
Statistical Graphics for Visualizing Data
Multidimensional Scaling: An Introduction
Missing Data: Statistical Analysis of Data with Incomplete Observations
Three‑ to Five‑Day Statistical Workshops:
Network Analysis: An Introduction (June 7-11)
Hierarchical Linear Models I: Introduction (June 7‑11, Amherst, MA)
Introduction to Spatial Regression Analysis (June 7-11, Chapel Hill, NC)
Data Analysis Using Stata (June 7-11)
Categorical Data Analysis Using Stata: Models for Binary, Ordinal, Nominal, and Count Outcomes (June 14‑18, Amherst, MA)
Introduction to Applied Bayesian Statistics for Social Scientists (June 14-18)
Panel Data Analysis Using Stata (June 14-18)
Latent Trajectory/Growth Curve Analysis: A Structural Equation Modeling Approach (June 21-25, Chapel Hill, NC)
Time Series Analysis: An Introduction for Social Scientists (June 21-25)
Analyzing Developmental Trajectories (June 28-July 1)
Hierarchical Linear Models II: Special Topics (July 6‑9)
Empirical Models for Time‑Series Cross‑Section Data (July 5-9)
Causal Inference in the Social Sciences: Matching, Propensity Scores, and Other Strategies (July 12-16)
Social Network Analysis: An Introduction (July 12-16, Chapel Hill, NC)
Designing, Conducting, and Analyzing Field Experiments (July 14-16, New Haven, CT)
Multilevel Models Using SAS and SPSS (July 19-23)
Categorical Data Analysis: A Second Course (July 26-29)
Structural Equation Models and Latent Variables: An Introduction (July 26-30)
Analyzing Multilevel and Mixed Models Using Stata (August 16‑20)
Network Analysis: Theory and Methods (August 16-20, Bloomington, IN)
Three‑ to Five‑Day Substantive Workshops (Preliminary List, Current as of March 2, 2010):
Dyadic Data Analysis: Models and Methods for the Study of Couples (June 2-4)
The IPUMS Database: Census Microdata for Comparative Research (June 22-24)
National Survey of Parents and Youth Data Workshop (June 29-30)
Health Care Change in the United States: Working with the Community Tracking Study and Health Tracking Surveys (August 2-6)
The NICHD Study of Early Child Care and Youth Development (August 4-6)
Providing Social Science Data Services: Strategies for Design and Operation (August 9-13)
Conducting Research on Recidivism and Reentry (Dates TBD)
William G. Jacoby
Director, ICPSR Summer Program in Quantitative Methods of Social Research, University of Michigan
Professor, Department of Political Science, Michigan State University
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