Summer Program courses open for registration!

ICPSR is pleased to announce the 2011 Summer Program in Quantitative Methods of Social Research with workshops and lectures on a wide variety of topics in research design, quantitative reasoning, statistical methods, and data processing.

The First Session:  June 20, 2011 to July 15, 2011   (location = Ann Arbor, MI)

Second Session:  July 18, 2011 to August 12, 2011   (location = Ann Arbor, MI)

Three to Five Day workshops on both statistical and substantive topics:  various dates throughout the summer.

Location:  most of these shorter workshops will take place in Ann Arbor, but there are several that will be held in other locations: Amherst, MA; Bloomington, IN; Chapel Hill, NC; and (for the first time) Berkeley, CA.

Registration, fee structure, and further information about the ICPSR Summer Program are all available on our web site.

Please feel free to e mail us with any further questions at: sumprog@icpsr.umich.edu


All classes are held in Ann Arbor, MI, unless otherwise noted.

First Four Week Session (June 20 - July 15, 2011)


Mathematics for Social Scientists, I

Mathematics for Social Scientists, II

Introduction to Computing

Introduction to the R Statistical Computing Environment

Introduction to the LaTeX Text Processing System


Introduction to Applied Bayesian Modeling for the Social Sciences

Introduction to Game Theory

Maximum Likelihood for Generalized Linear Models

Methodological Issues in Quantitative Research on Race and Ethnicity

Network Analysis

Quantitative Analysis of Crime and Criminal Justice

Rational Choice Theories of Politics and Society

Regression Analysis I: Introduction

Regression Analysis II: Linear Models

Scaling and Dimensional Analysis

Introduction to Statistics and Data Analysis, I

Time Series Analysis

Second Four Week Session (July 18 August 12, 2011)


Introduction to Computing

Introductory/Review Lectures on Matrix Algebra

Introduction to the R Statistical Computing Environment

Introduction to the LaTeX Text Processing System


Advanced Bayesian Models for the Social Sciences

Categorical Data Analysis

Causal Inference for the Social Sciences

Complex Systems Models in the Social Sciences

Advanced Game Theory

Longitudinal Analysis

Longitudinal Analysis of Historical Demographic Data

Advanced Topics in Maximum Likelihood Estimation

Applied Multilevel Models

Advanced Multivariate Statistical Methods

Regression Analysis II: Linear Models

Regression Analysis III: Advanced Methods

Simultaneous Equation Models

Introduction to Statistics and Data Analysis, II

Structural Equation Models with Latent Variables

The Hubert M. Blalock Lecture Series in Advanced Methods of Social Research (Preliminary List of Topics)

Data Mining

Latent Class Analysis

Missing Data: Statistical Analysis of Data with Incomplete Observations

Statistical Graphics for Visualizing Data

Three to Five Day Statistical Workshops

Analyzing Developmental Trajectories (June 6-8, Amherst, MA)

Mixed Methods: Approaches for Combining Quantitative and Qualitative Research

      Strategies (June 6-8, Chapel Hill, NC)

Panel Data Analysis Using SAS and SPSS (June 6-10)

Estimating Geometric Models of Choice and Judgment (June 13-17)

Hierarchical Linear Models I: Introduction (June 13-17, Amherst, MA)

Network Analysis: An Introduction (June 13-17)

Missing Data: An Introduction to the Analysis of Incomplete Data Sets (June 15-17, Bloomington, IN)

Advanced Network Analysis (June 20-24)

Doing Bayesian Data Analysis: An Introduction (June 20-24)

Causal Inference in the Social Sciences: Matching, Propensity Scores, and Other Strategies (June 27-July 1, Berkeley, CA)

Structural Equation Models and Latent Variables: An Introduction (June 27-July 1)

Monte Carlo Simulation and Resampling Methods (June 27-July 1, Chapel Hill, NC)

Applied Multilevel Models using SAS and SPSS (July 11-15)

Item Response Theory (July 11-15)

Introduction to Spatial Regression Analysis (July 11-15, Chapel Hill, NC)

Models for Categorical Outcomes Using Stata: Specification, Estimation, and Interpretation (July 11-15, Berkeley, CA)

Panel Data Analysis Using Stata (July 18-22)

Social Network Analysis: An Introduction (July 18-22, Chapel Hill, NC)

Time Series Analysis: An Introduction for Social Scientists (July 18-22)

Categorical Data Analysis: A Second Course (July 25-29)

Designing, Conducting, and Analyzing Field Experiments (August 1-5)

Latent Growth Curve Models (LGCM): A Structural Equation Modeling Approach (August 1-5, Chapel Hill, NC)

Spatial Econometrics: Statistical Models of Interdependence Among Observations (August 15-19)

Analyzing Multilevel and Mixed Models Using Stata (August 15 19)

Network Analysis: A Second Course (August 17-19)

Hierarchical Linear Models II: Special Topics (Dates TBD)