The ICPSR Summer Program provides in-depth, hands-on training in statistical techniques and research methodologies used across the social, behavioral, and medical sciences. The ICPSR Summer Program’s unique learning environment facilitates professional networking, encourages the exchange of ideas, and makes the experience of acquiring critical analytical skills enjoyable.
From May through August 2017, the Summer Program will offer more than 80 courses in cities across the US and around the world. Registration is now open for all 2017 courses. For more information, visit icpsr.umich.edu/sumprog or contact firstname.lastname@example.org or (734) 763-7400.
Held on the University of Michigan campus in Ann Arbor, Michigan, the Summer Program’s First (June 26 – July 21, 2017) and Second (July 24 – August 18, 2017) Sessions contain more than 35 courses, including regression analysis, network analysis, longitudinal analysis, MLE, SEM, causal inference, and more. Participants in a four-week session are encouraged to take as many courses within that session as they wish. Scholarships are available for graduate students in child, developmental, and family psychology, education, public policy, and other disciplines. Additionally, new in 2017, the HENRY “HANK” HEITOWIT SCHOLARSHIP will be awarded to a past participant of the ICPSR Summer Program’s four-week sessions. All scholarship applications are due March 31, 2017.
For researchers needing to learn a specific methodological technique in just a few days, the ICPSR Summer Program offers more than 40 short workshops, ranging from introductory to advanced methods and cutting-edge techniques. Highlights of our short workshop schedule include:
- Analyzing Intensive Longitudinal Data: A Guide to Diary, Experience Sampling, and Ecological Momentary Assessment Methods (June 5-9, Amherst)
- Item Response Theory: Methods for the Analysis of Discrete Survey Response Data (June 5-9, Ann Arbor)
- Hierarchical Linear Models I: Introduction (June 26-30, Amherst)
- Egocentric Social Network Analysis (July 17-21, Bloomington)
- Modern Causal Inference: Experiments, Matching, and Beyond (July 24-28, Boulder)