2012 Schedule

Unless otherwise indicated, workshops are held in Ann Arbor Michigan, on the University of Michigan campus. Workshops usually meet daily from 9:00 am to 5:00 pm.

NOTE: please check back to the course listing for possible further developments.

Three- to Five-Day Statistical Workshops
May 29-June 1	Network Analysis: An Introduction
June 4-8	Network Analysis: A Second Course
June 4-8	Spatial Econometrics: Statistical Models of Interdependence Among Observations
June 4-6	Analyzing Developmental Trajectories (Amherst, MA)
June 11-15	Hierarchical Linear Models I: Introduction (Amherst, MA)
June 11-15	Monte Carlo Simulation and Resampling Methods (Chapel Hill, NC)
June 11-15	Structural Equation Models and Latent Variables: An Introduction
June 11-15	Doing Bayesian Data Analysis: An Introduction
June 11-15	Models for Categorical Outcomes Using Stata: Specification, Estimation, and Interpretation
June 18-22	Analysis of Large-Scale Networks
June 18-22	Introduction to Spatial Regression Analysis (Chapel Hill, NC)
June 18-22	Health Disparities Research and Minority Populations: Exploring ICPSR Data Sources
June 25-27	Mixed Methods: Approaches for Combining Qualitative and Quantitative Research Strategies (Chapel Hill, NC)
June 25-29	Longitudinal Data Analysis, including Categorical Outcomes
July 9-13	Causal Inference in the Social Sciences: Matching, Propensity Scores, and Other Strategies (Berkeley, CA)
July 9-13	Time Series Analysis: An Introduction for Social Scientists
July 9-13	Panel Data Analysis Using Stata
July 9-13	Applied Multilevel Models Using SAS and SPSS (Boulder, CO)
July 9-13	Item Response Theory (Boulder, CO)
July 16-18	Early Care and Education: Drawing Lessons from Weighted Samples
July 16-20	Social Network Analysis: An Introduction (Chapel Hill, NC)
July 16-20	Time Series Analysis: A Second Course
July 23-25	Applied Power Analysis for the Social and Behavioral Sciences
July 23-26	Missing Data: An Introduction to the Analysis of Incomplete Data Sets (Bloomington, IN)
July 23-27	Military Nursing Research: Fundamentals of Survey Methodology
July 23-27	Applied Data Science: Managing Research Data for Re-Use
July 23-28	Analysis of Longitudinal Study of American Youth (LSAY) Data
July 30-August 3	The National Black Election/Politics Studies: Use and Analysis
July 30-August 3	Assessing and Mitigating Disclosure Risk: Essentials for Social Scientists
July 30-August 3	Designing, Conducting, and Analyzing Field Experiments
August 6-8	Hierarchical Linear Models for Longitudinal Data (Boulder, CO)
August 6-10	Latent Growth Curve Models (LGCM): A Structural Equation Modeling Approach (Chapel Hill, NC)
August 6-9	The R Statistical Computing Environment: The Basics and Beyond (Berkeley, CA)
August 6-10	Network Analysis: Theory and Methods (Bloomington, IN)
August 6-10	Providing Social Science Data Services: Strategies for Design and Operation
August 13-15	Growth Mixture Models: A Structural Equation Modeling Approach (Chapel Hill, NC)
August 13-15	Analyzing Multilevel and Mixed Models Using Stata

Note: The ICPSR Summer Program in Quantitative Methods of Social Research makes every effort to provide an up-to-date course schedule, as well as fully accurate course descriptions. Occasionally, however, unforeseen circumstances may require changes in course content, instructors, timing, or location. Fortunately, such events are very rare. But when they do occur, we reserve the right to make any changes that are necessary to maintain the Program. We will post corrected information to the Summer Program Web site and inform participants who are affected by such changes as quickly as possible.

2012 Schedule

Four-Week Courses

First Session, June 18-July 13

Workshops:

Lectures:

Second Session, July 16-August 10

Workshops:

Lectures:

Three- to Five-Day Workshops

Three- to Five-Day Statistical Workshops