Schedule


First Session, June 25 - July 20, 2018

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).

workshops

Lectures

8:00am-9:00am

11:00am-noon

11:00am-12:30pm

noon-1:00pm

5:30pm-7:30pm

7:30pm-9:00pm

  • Blalock Lectures: Advanced Topics in Social Research

2018 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 14-16 Introduction to R (Houston, TX)
May 14-18 Dynamical Systems Analysis (Salt Lake City, UT)
May 14-18 Linear Regression Analysis in the Social Sciences (Houston, TX)
May 21-23 Regression Discontinuity Designs
May 21-25 Network Analysis: Statistical Approaches (Chapel Hill, NC)
May 28 - June 1 Analyzing Longitudinal and Multilevel Data with R and Stan (Toronto, ON)
May 30 - June 1 Process Tracing in Qualitative and Mixed Methods Research
June 4-6 Qualitative Comparative Analysis (QCA)
June 4-6 Group-based Trajectory Modeling for the Medical and Social Sciences (Amherst, MA)
June 4-6 R: Learning by Example (Boulder, CO)
June 4-6 Secondary Data Analysis and the National Addiction and HIV Data Archive Program (NAHDAP)
June 5-6 Model Implied Instrumental Variables: An Alternative Approach to Structural Equation Models (SEMs) (St. Gallen, Switzerland)
June 11-15 Panel Study of Income Dynamics (PSID) Data User Workshop
June 11-15 Modeling Categorical Outcomes: Advanced Methods for Models with Binary, Ordinal, and Nominal Outcomes
June 11-15 Regression Analysis for Spatial Data (Boulder, CO)
June 12-13 Data Curation for Rehabilitation Research and Related Clinical Trials (Fort Collins, CO)
June 18-22 Hierarchical Linear Models: Introduction (Amherst, MA)
June 18-22 Latent Growth Curve Models (LGCM): A Structural Equation Modeling Approach (Chapel Hill, NC)
June 25-27 Growth Mixture Models: A Structural Equation Modeling Approach (Chapel Hill, NC)
June 25-29 Analyzing Intensive Longitudinal Data: A Guide to Diary, Experience Sampling, and Ecological Momentary Assessment Methods (Amherst, MA)
June 25-29 Applied Multilevel Models for Longitudinal and Clustered Data (Boulder, CO)
June 25-29 Field Experiments (Florence, Italy)
June 25-29 Item Response Theory: Methods for the Analysis of Discrete Survey Response Data
June 27-29 Introduction to Mixed Methods Research (Chapel Hill, NC)
July 9-13 Machine Learning: Applications and Opportunities in Social Science Research
July 9-13 Spatial Econometrics
July 11-13 How to Identify and Remediate Disclosure Risk (Burnaby, BC - Vancouver)
July 16-20 Machine Learning for the Analysis of Text as Data (Chapel Hill, NC)
July 23-25 Exploring and Analyzing Monitoring the Future Data: A Primer
July 23-27 Modern Causal Inference: Experiments, Matching, and Beyond (Boulder, CO)
July 23-27 Structural Equation Models and Latent Variables: An Introduction
July 30 - August 1 Multilevel and Mixed Models Using Stata
July 30 - August 3 Bayesian Multilevel Models (Berkeley, CA)
July 30 - August 3 Providing Social Science Data Services: Strategies for Design and Operation
August 1-3 Qualitative Research Methods (Chapel Hill, NC)
August 6-8 Handling Missing Data: Using Multiple Imputation in Stata
August 6-10 Latent Class Analysis in Social Science Research (Berkeley, CA)
August 6-10 Longitudinal Data Analysis, Including Categorical Outcomes
August 13-14 The Population Assessment of Tobacco and Health (PATH) Study Data User Workshop: Biomarker Restricted-Use Files
August 13-15 Survey Data Analysis Using Stata
August 13-17 Machine Learning: Uncovering Hidden Structure in Data (Berkeley, CA)
August 13-17 Optimal Methods and Strategies for Reproducible Research: How to Publish Faster with Less Stress!
August 20-22 Maximum Likelihood Estimation for Generalised Linear Models (Glasgow, Scotland)
August 20-22 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.