2011 Syllabi and Reading Lists

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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