2009 Syllabi and Reading Lists

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.

American Community Survey: Research Applications and Challenges - Barry Edmonston and staff from the U.S. Census Bureau

Advanced Bayesian Models for the Social Sciences - Patrick Brandt, Skyler Cranmer, Jeff Gill, Jong Hee Park

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

Advanced Topics in MLE: Models for Panel and Time-Series Cross-Section Data - Gregory Wawro

Advanced Multivariate Statistical Methods - Douglas Steinley (PDF 8K)

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

Applied Bayesian Statistics for Social Scientists, Introduction to - Scott M. Lych

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

Categorical Data Analysis: Models for Binary, Ordinal, Nominal, and Count Outcomes - Scott Long

Causal Inference - Dominik Hangartner and Marco R. Steenbergen

Complex Systems Models in the Social Sciences - Ken Kollman

Computing, Introduction to - Michael Hawthorne

Data Mining - Robert Stine

Protecting Against Disclosure Risk in Shared Research Data Files

Documenting Data Using DDI 3.0: Supporting Research, Collection Management, and Access - Wendy Thomas, Arofan Gregory

Empirical Models for Time-Series-Cross-Section Data - Robert J. Franzese, Jr

Examining Quality in Publicly Supported Early Childhood Programs Peg Burchinal

Game Theory: Introduction - Dimitri Landa

Game Theory: Advanced - Catherine Hafer

Hierarchical Linear Models: Introduction - Aline G. Sayer & Natalya Verbitsky

Introduction to Statistics and Data Analysis I - Lee Walker

Introduction to Statistics and Data Analysis II - Andres Martinez

Latent Curve Models: A Structural Equation Perspective - Kenneth Bollen

Longitudinal Analysis of Historical Demographic Data - George Alter and Myron Gutmann

Longitudinal Data Analysis - Michael L. Berbaum

Longitudinal Explorations of Child Outcomes and Well-Being - Gail Mulligan, Jill Walston, Paula Baker, Steve McClaskie, Holly Sexton

Mathematics for Social Scientists I - Stephen G. Bringardner

Mathematics for Social Scientists II - Howard M. Thompson

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

Matrix Algebra - Pedro Sanchez

Maximum Likelihood Estimation for Generalized Linear Models - Christopher Zorn

Measurement, Scaling, and Dimensional Analysis - William G. Jacoby

Methodological Issues in Quantitative Research on Race and Ethnicity - Phillip Bowman, Angela Ebreo, John Garcia

Multilevel Models for Longitudinal Data using SAS - Lesa Hoffman

Network Analysis: an Accelerated Introduction - Ann McCranie and Stanley Wasserman

Network Analysis: A Second Course - Stanley Wasserman, Ann McCranie

New Tools for Regression Analysis: Dimension Reduction and Inverse Regression - Sanford Weisberg

NICHD Study of Early Child Care and Youth Development - James Griffin

OJJDP Corrections Data Workshop Tim Bynum

Panel-data analysis using Stata - David M. Drukker

Programming in R - John Fox ICPSR Training Program

Quantitative Analysis of Criminal Justice Data - James P. Lynch

Quantitative Historical Analysis - Margo Anderson

the R Statistical Computing Environment, Introduction to - Dave Armstrong

Regression Analysis I: An Introduction - Saundra Schneider

Regression Analysis II - Brian M. Pollins

Regression Analysis II: Linear Models - Timothy McDaniel

Regression Analysis III: Advanced Methods - Dave Armstrong, Matthew Painter

Scaling and Dimensional Analysis - Bill Jacoby

Sentencing and Other Federal Case Data Analysis - ICPSR; NIJ Staff

Simultaneous Equation Models - Sandy Marquart-Pyatt

Social Network Analysis: Theory and Methods - Bernice Pescosolido and Stanley Wasserman

Spatial Regression Analysis, Introduction to - Paul R. Voss and Katherine Curtis

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

Structural Equation Models with Latent Variables - Douglas Baer

Time Series Analysis - Genie Baker

Training for the Collaborative Psychiatric Epidemiology Surveys (CPES) Dataset JoAnn McFarland

Using Secondary Data for the Analysis of Marriage and Family Anjani Chandra