Apologies for cross-posting!


2017 ICPSR Summer Program in Quantitative Methods of Social Research

From May through August 2017, the ICPSR Summer Program is offering more
than 40 short workshops in 9 cities across the US and around the world. Our
short workshop schedule covers a broad range of quantitative topics, from
introductory-level material to advanced, cutting-edge statistical
techniques. Highlights of our 2017 schedule include:

NEW LOCATIONS
York University, Ontario, Canada
University of Glasgow, Glasgow, Scotland
Hong Kong Polytechnic University, Hong Kong

NEW COURSES
Causal Inference/Estimating Treatment Effects Using Stata (June 12-14, Ann
Arbor)
Structural Equation Models for Social Scientists (July 12-14, Hong Kong)
Bayesian Latent Variable Analysis (July 17-21, Chapel Hill)
Applications of Models for Longitudinal and Multilevel Data in R and Stan
(July 17-21, Toronto)
Statistical Graphics (July 31 – Aug. 2, Chapel Hill)
Bayesian Multilevel Models (July 31 – Aug. 4, Berkeley)
Panel Data Using Stata (Aug. 2-4, Ann Arbor)
Machine Learning: Applications and Opportunities in the Social Sciences
(Aug. 7-11, Ann Arbor)
Survey Data Analysis Using Stata (Aug. 14-16, Ann Arbor)
Maximum Likelihood Estimation for Generalised Linear Models (Aug. 21-23,
Glasgow)
Multi-level Modeling (Aug. 21-23, Glasgow)

The ICPSR Summer Program also offers four-week courses, for students,
faculty, and researchers seeking a comprehensive, immersive learning
experience in statistics and quantitative methods. Scholarships are
available.

Registration is now open for all 2017 courses. Visit our website at
icpsr.umich.edu/sumprog for instructions on how to enroll, as well as
information on fees and discounts (including a 15% discount on fees for
participants who register in two or more short workshops). You can contact
the ICPSR Summer Program at [log in to unmask] or (734) 763-7400.


2017 SHORT WORKSHOP SCHEDULE
Network Analysis: An Introduction (May 8-12, Ann Arbor)
Network Analysis: Statistical Approaches (May 15-19, Ann Arbor)
Regression Models for Categorical Outcomes: Specification, Estimation, and
Interpretation (May 23-26, Amherst)
R: Learning by Example (May 31 - June 2, Boulder)
Regression Discontinuity Designs (May 31 - June 2, Ann Arbor)
Analyzing Intensive Longitudinal Data: A Guide to Diary, Experience
Sampling, and Ecological Momentary Assessment Methods (June 5-9, Amherst)
Applied Multilevel Models for Longitudinal and Clustered Data (June 5-9,
Boulder)
Introduction to Network Analysis: Study Design and Methods (June 5-9,
Bloomington, IN)
Item Response Theory: Methods for the Analysis of Discrete Survey Response
Data (June 5-9, Ann Arbor)
Latent Growth Curve Models (LGCM): A Structural Equation Modeling Approach
(June 5-9, Chapel Hill)
Multilevel and Mixed Models Using Stata (June 7-9, Ann Arbor)
Causal Inference/Estimating Treatment Effects Using Stata (June 12-14, Ann
Arbor)
Group-based Trajectory Modeling for the Medical and Social Sciences (June
12-14, Amherst)
Growth Mixture Models: A Structural Equation Modeling Approach (June 12-14,
Chapel Hill)
Panel Study of Income Dynamics (PSID) Data User Workshop (June 12-16, Ann
Arbor)
Process Tracing in Qualitative and Mixed Methods Research (June 19-21, Ann
Arbor)
Survival Analysis, Event History Modeling, and Duration Analysis (June
19-21, Berkeley)
Machine Learning for the Analysis of Text as Data (June 19-23, Chapel Hill)
Doing Bayesian Data Analysis: An Introduction (June 20-23, Ann Arbor)
Hierarchical Linear Models I: Introduction (June 26-30, Amherst)
Health Disparities, Health Inequities and Vulnerable Populations: Research
Examining and Understanding Complexity (July 10-14, Ann Arbor)
Structural Equation Models and Latent Variables: An Introduction (July
10-14, Ann Arbor)
Introduction to Mixed Methods Research (July 12-14, Chapel Hill)
Structural Equation Models for Social Scientists (July 12-14, Hong Kong)
Applications of Models for Longitudinal and Multilevel Data in R and Stan
(July 17-21, Toronto)
Bayesian Latent Variable Analysis (July 17-21, Chapel Hill)
Designing and Conducting Experiments in the Laboratory (July 17-21, Ann
Arbor)
Egocentric Social Network Analysis (July 17-21, Bloomington)
Regression Analysis for Spatial Data (July 17-21, Boulder)
Spatial Econometrics (July 17-21, Ann Arbor)
Managing Data for Reproducible Results (July 24-28, Ann Arbor)
Modern Causal Inference: Experiments, Matching, and Beyond (July 24-28,
Boulder)
Statistical Graphics (July 31 – Aug. 2, Chapel Hill)
Bayesian Multilevel Models (July 31 – Aug. 4, Berkeley)
Social Network Analysis (July 31 – Aug. 4, Boulder)
Panel Data using Stata (Aug. 2-4, Ann Arbor)
Qualitative Research Methods (Aug. 2-4, Chapel Hill)
Latent Class Analysis in Social Science Research (Aug. 7-11, Berkeley)
Longitudinal Data Analysis, Including Categorical Outcomes (Aug. 7-11, Ann
Arbor)
Machine Learning: Applications and Opportunities in the Social Sciences (Aug.
7-11, Ann Arbor)
Survey Data Analysis Using Stata (Aug. 14-16, Ann Arbor)
Exploratory Data Mining Via SEARCH Strategies (Aug. 14-18, Ann Arbor)
Maximum Likelihood Estimation for Generalised Linear Models (August 21-23,
Glasgow)
Multi-level Modeling (August 21-23, Glasgow)


-- 
Stephanie Carpenter
Digital, Social Media, and Education Support Specialist
ICPSR Summer Program in Quantitative Methods of Social Research
Inter-university Consortium for Political and Social Research

(w) http://www.icpsr.umich.edu/sumprog/
(e) [log in to unmask]
(p) (734) 763-7400

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