2016 Syllabi and Reading Lists
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- Bayesian Modeling for the Social Sciences I: Introduction and Application
- Ryan Bakker and Johannes Karreth - Maximum Likelihood Estimation I - Generalized Linear Models
- Dean Lacy - Rational Choice Theories of Politics and Society
- James Johnson - Game Theory I: Introduction
- Scott Ainsworth - Multilevel Models - Introduction and Application
- Mark Manning - Network Analysis I - Introduction
- Jimi Adams - Race, Ethnicity, and Quantitative Methods
- Mosi Ifantunji - Time Series Analysis I: Introduction
- Sara Mitchell and Clayton Webb - Advanced Multivariate Statistical Methods
- Robert Henson - Regression Analysis I - Introduction
- Michelle Dion - Regression Analysis II - Linear Models
- Tim McDaniel - Regression Analysis III - Advanced Methods
- Dave Armstrong - Statistics and Data Analysis I - Intrduction
- Niccole Pamphilis - Mathematical Models - Rational Choice Theories of Politics and Society
- James Johnson - Mathematics for Social Scientists I
- Stephen Bringardner - Mathematics for Social Scientists II
- Howard Thompson - Mathematics for Social Scientists III
- Don Eckford - Introduction to Computing 1st Session
- Michael Hawthorne - Introduction to the R Statistical Computing Environment
- Kerem Ozan Kalka
Workshops
Lectures
- Empirical Modeling of Social Science Theory Advanced Topics
- Robert Franzese - Game Theory II - Advanced Topics
- James Morrow - Longitudinal Analysis
- Michael Berbaum - Network Analysis II - Advanced Topics
- Lorien Jasny.pdf - Simultaneous Equation Models
- Sandy Marquart-Pyatty - Bayesian Modeling for the Social Sciences II - Advanced Topics
- Elizabeth Menninga and Ryan Bakker - Maximum Likelihood Estimation II - Advanced Topics
- David Darmofal and Christopher Zorn - Regression Analysis II - Linear Models
- Brian Pollins - Scaling and Dimensional Analysis
- William Jacoby - Structural Equation Models with Latent Variables
- Doug Baer - Categorical Data Analysis
- Shawna Smith - Causal Inference for the Social Sciences
- Ben Hansen and Jake Bowers - Statistics and Data Analysis II
- Shane Singh - Time Series Analysis II - Advanced Topics
- Mark Pickup and Paul Kellstedt - Introduction to Computing
- Michael Hawthorne - Introduction to Calculus
- Don Eckford - Introductory - Review Lectures on Matrix Algebra
- Tim McDaniel - Introduction to the R Statistical Computing Environment
- John Fox
Workshops
Lectures
- Analyzing Intensive Longitudinal Data - A Guide to Diary, Experience Sampling, and Ecological Momentary Assessment Methods
- Niall Bolger and Jean-Philippe Laurenceau - Applied Multilevel Models for Longitudinal and Clustered Data
- Ryan Walters - BITSS - Research Transparency 2016
- Garret Christensen - Curating and Managing Research Data for Re-Use
- Louse Corti, Jared Lyle, and Vererle Van den Eynden - Designing and Conducting and Analyzing Field Experiments
- Don Green and Costas Panagopoulos - Doing Bayesian Data Analysis - An Introduction
- John Kruschke - Dynamic Models for Social Scientists and Policy Analysts
- Harold Clarke - Early Head Start Family and Child Experiences Survey (Baby FACES)
- Judy Cannon, Cheri Vogel, and Yange Xue - Egocentric Network Analysis
- Brea Perry - Exploratory Data Mining via SEARCH Strategies
- Kevin Grimm - Group-based Trajectory Modeling for the Medical and Social Sciences
- Daniel Nagin and Thomas Loughran - Growth Mixture Models: A Structural Equation Modeling Approach
- Sarah Mustillo - Handling Missing Data Using Multiple Imputation in Stata
- Rose Medeiros - Hierarchical Linear Models I - Introduction
- Aline Sayer - Introduction to Mixed Methods Research
- Kathleen M.T. Collins - Introduction to Network Analysis - Study Design and Methods
- Bernice Pescosolido and Ann McCranie - Introduction to R: How to Use R for Data Management
- R. Joseph Waddington - Item Response Theory - Methods for the Analysis of Discrete Survey Response Data
- William Skorupski - Item Response Theory - Special Topics - Ordinal, Multidimensional, and Explanatory Item Response Theory Models
- Stephen Schilling - Latent Class Analysis in Social Science Research
- Tenko Raykov - Latent Growth Curve Models (LGCM): A Structural Equation Modeling Approach
- Ken Bollen - Longitudinal Data Analysis, including Categorical Outcomes
- Donald Hedeker - Machine Learning for the Analysis of Text as Data
- Brice Acree - Modern Causal Inference - Experiments, Matching, and Beyond
- Douglas Steinley - Multilevel and Mixed Models Using Stata
- Rose Medeiros - Multilevel Models - Pooled and Clustered Data
- Thomas Carsey - Multivariate Modeling with Stata and R
- Harold Clarke and Guy Whitten - Network Analysis: An Introduction - Ann McCranie
- Network Analysis: Statistical Approaches
- John Skvoretz - Panel Study of Income Dynamics (PSID) Data User Workshop
- Paula Fomby et al - Process Tracing in Qualitative and Mixed Methods Research
- Derek Beach - Providing Social Science Data Services - Strategies for Design and Operation
- Bobray Bordelon, Jane Fry, & Ron Nakao - Qualitative Research Methods
- Paul Mihas - R - Learning By Example
- Dave Armstrong - Regression Analysis for Spatial Data
- Elizabeth Root - Regression Discontinuity Designs
- Rocio Titiunik - Secondary Data Analysis - Population Assessment Tobacco & Health (PATH) Study
- Kristie Taylor - Secondary Data Analysis and National Addiction & HIV Data Archive Program
- Lisa Dierker - Social Network Analysis - An Introduction with an Emphasis on Application in R
- Lorien Jasny - Social Network Analysis - From Description to Inference with an Emphasis on Application in R
- Skyler Cranmer - Spatial Econometrics
- Robert Franzese - Strategies for Reproducible Results
- Scott Long - Structural Equation Modeling with Stata
- Kristin MacDonald - Structural Equation Models and Latent Variables: An Introduction
- Ken Bollen - Survival Analysis, Event History Modeling, and Duration Analysis
- Tenko Raykov - Text Analytics
- Robert Stine - The R Statistical Computing Environment - The Basics and Beyond
- John Fox - Transparency and Reproducibility Methods for Social Science Research
- Edward Miguel, Garret Christensen, et al