2014 Schedule

Four-Week Courses

First Session, June 23-July 18

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 21-August 15

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


9am-10am, 5pm-6pm










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, dates, and locations.

June 2-4 Analyzing Developmental Trajectories (Amherst, MA)
June 2-6 Transparency Practices for Empirical Social Science Research (Berkeley, CA)
June 2-6 Introduction to Regression Analysis (Montreal, QC)
June 2-6 Latent Growth Curve Models (LGCM): A Structural Equation Modeling Approach (Chapel Hill, NC)
June 9-11 Growth Mixture Models: A Structural Equation Modeling Approach (Chapel Hill, NC)
June 9-11 The Measures of Effective Teaching Longitudinal Database: A Review of the MET Project and Available Data
June 9-13 Hierarchical Linear Models I: Introduction (Amherst, MA)
June 9-13 Multivariate Models for Social Scientists and Policy Analysts: Choices, Interventions, Dynamics (Montreal, QC)
June 9-13 Introduction to Survey Methodology: Questionnaire Design, Data Collection Modes, and Improving Survey Quality
June 16-18 Mixed Methods: Approaches for Combining Qualitative and Quantitative Research Strategies (Chapel Hill, NC)
June 16-20 Analysis of Large-Scale Networks
June 16-20 Models for Categorical Outcomes Using Stata: Specification, Estimation, and Interpretation (Amherst, MA)
June 16-20 Network Analysis: An Introduction
June 18-20 Structural Equation Modeling with Stata
June 23-27 Longitudinal Data Analysis, Including Categorical Outcomes
June 23-27 Network Analysis: Statistical Approaches
June 23-27 The R Statistical Computing Environment: The Basics and Beyond (Berkeley, CA)
June 24-27 Analyzing Intensive Longitudinal Data: A Guide to Diary, Experience Sampling, and Ecological Momentary Assessment Methods (Amherst, MA)
June 30-July 2 Bayesian Methods for Prevention and Intervention Science
June 30-July 3 Item Response Theory: Methods for the Analysis of Discrete Survey Response Data
July 7-11 Managing Statistical Research: The Workflow of Data Analysis
July 7-11 Panel Data Analysis Using Stata
July 8-11 Doing Bayesian Data Analysis: An Introduction
July 14-18 Applied Multilevel Models for Cross-Sectional Data (Boulder, CO)
July 14-18 Causal Inference in the Social Sciences: Matching, Propensity Scores, and Other Strategies (Berkeley, CA)
July 14-18 Spatial Econometrics for Contagion, Diffusion, and Interdependence
July 14-18 Time Series Analysis: An Introduction for Social Scientists
July 16-18 Maximizing the Head Start Impact Study: New Third Grade Follow-up Data, Contextual Variables, and Approaches to Understanding Variation in Impacts
July 21-23 Designing, Conducting, and Analyzing Field Experiments (Manhattan, NY)
July 21-25 Applied Multilevel Models for Longitudinal Data (Boulder, CO)
July 21-25 Dynamic Models for Policy, Economics, and Society: Time Series Methods
July 21-25 Finding Patterns in Data, Big and Small
July 21-25 Structural Equation Models and Latent Variables: An Introduction
July 28-30 Designing, Conducting, and Analyzing Multi-Racial and Ethnic Political Surveys
July 28-30 The Pathways to Desistance Study: Analyzing the Life Event Calendar Data for Substance Abuse
July 28-August 1 Curating and Managing Research Data for Re-Use
August 4-8 Analyzing Social Networks: An Introduction (Chapel Hill, NC)
August 4-8 Introduction to Spatial Regression Analysis (Boulder, CO)
August 4-8 Providing Social Science Data Services: Strategies for Design and Operation
August 11-13 Analyzing Multilevel and Mixed Models Using Stata
August 11-15 Latent Class Analysis in Social Science Research

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.