2011 Syllabi and Reading Lists
ICPSR Summer Program

Syllabi have been provided in PDF format, and require Adobe Acrobat Reader in order to viewed. If you do not have Acrobat Reader installed on your computer, you may obtain a free copy from Adobe's website.

Advanced Topics in Maximum Likelihood Estimation: Duration Analysis/Event History Analysis - Brad Jones

Advanced Bayesian Models for the Social Sciences - Bruce A. Desmarais, Patrick Brandt, and Jong Hee Park

Advanced Game Theory - Jim Morrow

Advanced Multivariate Statistical Methods - Jonathan Templin

Analysis of Large-Scale Networks - Jukka-Pekka Onela

Analyzing Developmental Trajectories - Daniel S. Nagin

Analyzing Multilevel and Mixed Models Using Stata - Roberto G. Gutierrez

Applied Bayesian Modeling for the Social Sciences, Introduction to - Ryan Bakker

Applied Multilevel Models - Lesa Hoffman

Applied Multilevel Models using SAS and SPSS - Lesa Hoffman

Categorical Data Analysis: Models for Binary, Ordinal, Nominal, and Count Outcomes - Tait Medina and Shawna Smith

Causal Inference - Dominik Hangartner and Marco R. Steenbergen

Causal inference for the social sciences - Ben Hansen and Yun-Jia Lo

Complex Systems Models in the Social Sciences - Kate Anderson, P.J. Lamberson, Scott E. Page, Rick Riolo, Aaron Bramson, and Daniel Martin Katz

Designing, Conducting, and Analyzing Field Experiments - Donald P. Green

Doing Bayesian Data Analysis: An Introduction - John Kruschke

Estimating Geometric Models of Choice and Judgment - Keith Poole

Hierarchical Linear Models I - Aline G. Sayer and Mark Manning

Hierarchical Linear Models II: Special Topics - Stephen W. Raudenbush, Aline Sayer, and Guanglei Hong

Introduction to Computing - Michael Hawthorne

Introduction to Computing (second session) - Michael Hawhtorne

Item Response Theory - Jonathan Templin

Latent Class Analysis, Introduction to - Tenko Raykov

Latent Curve Models: A Structural Equation Perspective - Kenneth Bollen

Longitudinal Analysis of Historical Demographic Data

Longitudinal Data Analysis - Michael L. Berbaum

Mathematical Models: Rational Choice Theories of Politics & Society - James Johnson

Mathematics for Social Scientists I - Stephen G. Bringardner

Mathematics for Social Scientists II - Howard M. Thompson

Matrix Algebra - Pedro P. Sanchez

Maximum Likelihood Estimation for Generalized Linear Models - Christopher Zorn

Methodological Issues in Quantitative Research on Race and Ethnicity - John Garcia, Eduardo Vargas, and Abigail Sewell

Missing Data: Blalock Lecture - Tenko Raykov

Missing Data: Introduction to the Analysis of Incomplete Data Sets - Tenko Raykov

Mixed Methods: Approaches for Combining Qualitative and Quantitative Research Strategies - John W. Creswell and Paul Mihas

Models for Categorical Outcomes Using Stata: Specification, Estimation, and Interpretation - Scott Long and J.D. Wolfe

Monte Carlo Simulation and Resampling Methods for Social Scientists - Thomas M. Carsey and Jeffrey J. Harden

Network Analysis: An Introduction - Stanley Wasserman and Eric Quebbeman

Network Analysis: A Second Course - Stanley Wasserman and Hank Green

Panel-data analysis using Stata - David M. Drukker

Panel Data Analysis using SAS and SPSS - Patricia McManus and Michael F. Thompson

Quantitative Analysis of Crime and Criminal Justice - Lynn A. Addington

R Statistical Computing Environment, Introduction to the - John Fox

Regression Analysis I: An Introduction - Saundra K. Schneider

Regression Analysis II: Linear Models - Tim McDaniel

Regression Analysis II: Linear Models - Brian M. Pollins

Scaling and Dimensional Analysis - Dave Armstrong, Bill Jacoby

Simultaneous Equation Models (SiEM) - Sandy Marquart-Pyatt

Social Network Analysis - Ann McCranie

Social Network Analysis: An Introduction - Katherine Faust and Lorien Jasny

Spatial Econometrics: Statistical Models of Interdependence among Observations - Robert J. Franzes, Jr. and Srinivas Parinandi

Spatial Regression Analysis, Introduction to - Paul R. Voss

Statistics and Data Analysis I, Introduction to - Lok-Sze Wong, Natalie Jackson, and R. Joseph Waddington

Statistics and Data Analysis II, Introduction to - Tim McDaniel

Structural Equation Models and Latent Variables: An Introduction - Kenneth Bollen

Structural Equation Models with Latent Variables - Douglas Baer

Time Series Analysis - Sara McLaughlin Mitchell and Donald Eckford

Time Series Analysis, Introduction to - Mark Pickup

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