We are currently developing our 2017 Schedule. Please check back in January 2017 for a complete list of four-week courses and short workshops.

All of the courses listed below took place in our 2016 Summer Program. We intend to offer many of these courses again in 2017.

2016 Four-Week Courses

First Session, June 20-July 15, 2016

All workshops and lectures in the first session meet Monday through Friday, unless stated otherwise in a specific course description.

See our guide for selecting Summer Program courses during the first 4-week session (PDF).









  • Blalock Lectures: Advanced Topics in Social Research

Second Session, July 18 - August 12, 2016

All workshops and lectures in the second session meet Monday through Friday, unless stated otherwise in a specific course description.

See our guide for selecting Summer Program courses during the second 4-week session (PDF).








  • Blalock Lectures: Advanced Topics in Social Research

2016 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.

May 16-20 Network Analysis: An Introduction
May 23-25 Process Tracing in Qualitative and Mixed Methods Research
May 23-27 Network Analysis: Statistical Approaches
May 24-27 Machine Learning for the Analysis of Text as Data (Chapel Hill, NC)
May 24-27 Multivariate Modeling with Stata and R (Montreal,QC)
June 6-8 Group-based Trajectory Modeling for the Medical and Social Sciences (Amherst, MA)
June 6-10 Applied Multilevel Models for Longitudinal and Clustered Data (Boulder, CO)
June 6-10 Latent Growth Curve Models (LGCM): A Structural Equation Modeling Approach (Chapel Hill, NC)
June 8-10 Transparency and Reproducibility Methods for Social Science Research (Berkeley, CA)
June 13-17 Multilevel Models: Pooled and Clustered Data (Chapel Hill, NC)
June 13-17 Panel Study of Income Dynamics (PSID) Data User Workshop
June 13-17 Spatial Econometrics
June 13-17 The R Statistical Computing Environment: The Basics and Beyond (Berkeley, CA)
June 14-17 Analyzing Intensive Longitudinal Data: A Guide to Diary, Experience Sampling, and Ecological Momentary Assessment Methods (Amherst, MA)
June 20-22 Secondary Data Analysis and the National Addiction & HIV Data Archive (NAHDAP)
June 20-24 Hierarchical Linear Models I: Introduction (Amherst, MA)
June 27-29 Survival Analysis, Event History Modeling, and Duration Analysis (Berkeley, CA)
June 27 - July 1 Social Network Analysis: An Introduction with an Emphasis on Application in R (Annapolis, MD)
June 27 - July 1 Structural Equation Models and Latent Variables: An Introduction
July 5-6 BITSS: Research Transparency
July 5-8 Doing Bayesian Data Analysis: An Introduction
July 6-8 Handling Missing Data Using Multiple Imputation in Stata
July 6-8 Introduction to Mixed Methods Research (Chapel Hill, NC)
July 11-13 Growth Mixture Models: A Structural Equation Modeling Approach (Chapel Hill, NC)
July 11-15 Dynamic Models for Social Scientists and Policy Analysts
July 11-15 Item Response Theory: Methods for the Analysis of Discrete Survey Response Data
July 11-15 Network Analysis: From Description to Inference with an Emphasis on Application in R (Berkeley, CA)
July 11-15 Regression Analysis for Spatial Data (Boulder, CO)
July 11-15 Text Analytics
July 18-20 Regression Discontinuity Designs
July 18-20 Structural Equation Modeling with Stata
July 18-22 Egocentric Social Network Analysis (Bloomington, IN)
July 18-22 Item Response Theory: Selected Topics - Ordinal, Multidimensional, and Explanatory Item Response Theory Models
July 18-22 Modern Causal Inference: Experiments, Matching, and Beyond (Boulder, CO)
July 25-27 Designing, Conducting, and Analyzing Field Experiments (Manhattan, NY)
July 25-27 R: Learning by Example (Boulder, CO)
July 25-29 Introduction to Network Analysis: Study Design and Methods (Bloomington,IN)
July 25-29 Curating and Managing Research Data For Re-Use (Lisbon, Portugal)
July 27-29 Multilevel and Mixed Models Using Stata
August 1-4 Strategies for Reproducible Results
August 1-5 Providing Social Science Data Services: Strategies for Design and Operation
August 3-5 Qualitative Research Methods (Chapel Hill, NC)
August 3-5 Secondary Data Analysis of Data From the Population Assessment of Tobacco and Health (PATH) Study
August 8-9 Early Head Start Family and Child Experiences Survey (Baby FACES)
August 8-12 Latent Class Analysis in Social Science Research
August 8-12 Longitudinal Data Analysis, Including Categorical Outcomes
August 15-19 Exploratory Data Mining Via SEARCH Strategies
August 15-19 Introduction to R: How to Use R for Data Management, Data Analysis, and Graphical Display

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.