2017 Three- to Five-Day Workshops

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: We are still creating our full schedule of short workshops, so be sure to check back frequently for updated information on the course list, date, and locations.

May 8-12 Network Analysis: An Introduction
May 15-19 Network Analysis: Statistical Approaches
May 23-26 Regression Models for Categorical Outcomes: Specification, Estimation, and Interpretation (Amherst, MA)
May 31 - June 2 R: Learning by Example (Boulder, CO)
May 31 - June 2 Regression Discontinuity Designs
June 5-9 Analyzing Intensive Longitudinal Data: A Guide to Diary, Experience Sampling, and Ecological Momentary Assessment Methods (Amherst, MA)
June 5-9 Applied Multilevel Models for Longitudinal and Clustered Data (Boulder, CO)
June 5-9 Introduction to Network Analysis: Study Design and Methods (Bloomington,IN)
June 5-9 Item Response Theory: Methods for the Analysis of Discrete Survey Response Data
June 5-9 Latent Growth Curve Models (LGCM): A Structural Equation Modeling Approach (Chapel Hill, NC)
June 7-9 Multilevel and Mixed Models Using Stata
June 12-14 Causal Inference/Estimating Treatment Effects Using Stata
June 12-14 Group-based Trajectory Modeling for the Medical and Social Sciences (Amherst, MA)
June 12-14 Growth Mixture Models: A Structural Equation Modeling Approach (Chapel Hill, NC)
June 12-16 Panel Study of Income Dynamics (PSID) Data User Workshop
June 19-21 Process Tracing in Qualitative and Mixed Methods Research
June 19-21 Survival Analysis, Event History Modeling, and Duration Analysis (Berkeley, CA)
June 19-23 Machine Learning for the Analysis of Text as Data (Chapel Hill, NC)
June 20-23 Doing Bayesian Data Analysis: An Introduction
June 26-30 Hierarchical Linear Models I: Introduction (Amherst, MA)
July 10-12 Structural Equation Models for Social Scientists (Kowloon, Hong Kong)
July 10-14 Structural Equation Models and Latent Variables: An Introduction
July 12-14 Introduction to Mixed Methods Research (Chapel Hill, NC)
July 17-21 Applications of Models for Longitudinal and Multilevel Data in R and Stan (Toronto, ON)
July 17-21 Bayesian Latent Variable Analysis (Chapel Hill, NC)
July 17-21 Designing and Conducting Experiments in the Laboratory
July 17-21 Egocentric Social Network Analysis (Bloomington, IN)
July 17-21 Regression Analysis for Spatial Data (Boulder, CO)
July 17-21 Spatial Econometrics
July 24-28 Managing Data for Reproducible Results
July 24-28 Modern Causal Inference: Experiments, Matching, and Beyond (Boulder, CO)
July 31 - August 2 Statistical Graphics (Chapel Hill, NC)
July 31 - August 4 Bayesian Multilevel Models (Berkeley, CA)
July 31 - August 4 Social Network Analysis (Boulder, CO)
August 2-4 Panel Data using Stata
August 2-4 Qualitative Research Methods (Chapel Hill, NC)
August 7-11 Latent Class Analysis in Social Science Research (Berkeley, CA)
August 7-11 Longitudinal Data Analysis, Including Categorical Outcomes
August 7-11 Machine Learning: Applications and Opportunities in the Social Sciences
August 14-16 Survey Data Analysis Using Stata
August 14-18 Exploratory Data Mining Via SEARCH Strategies
August 21-23 Maximum Likelihood Estimation for Generalised Linear Models (Glasgow, Scotland, UK)
August 21-23 Multi-level Modeling (Glasgow, Scotland, UK)

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 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 website and inform participants who are affected by such changes as quickly as possible.