2017 Syllabi and Reading Lists
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- Bayesian Modeling for the Social Sciences I: Introduction and Application
- Ryan Bakker and Johannes Karreth - Game Theory I: Introduction
- Scott Ainsworth - Maximum Likelihood Estimation I: Generalized Linear Models
- Dean Lacy - Multilevel Models I: Introduction and Application
- Mark Manning - Multivariate Statistical Methods: Advanced Topics
- Bob Henson - Network Analysis I: Introduction
- James D. Wilson - Race, Ethnicity, and Quantitative Methodology
- Kerem Ozan Kalkan and Jamil Scott - Rational Choice Theories of Politics and Society
- James Johnson - Regression Analysis I: Introduction
- Michelle Dion - Regression Analysis II: Linear Models
- Tim McDaniel - Regression Analysis III: Advanced Methods
- David Armstrong - Scaling and Dimensional Analysis
- William Jacoby - Statistics and Data Analysis I: Introduction
- Niccole Pamphilis - Time Series Analysis I: Introduction
- Sara Mitchell and Clayton Webb - 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
- Bayesian Modeling for the Social Sciences II: Advanced Topics
- Elizabeth Menninga and Daniel Stegmueller - Categorical Data Analysis
- Shawna Smith - Causal Inference for the Social Sciences
- Ben Hansen and Jake Bowers - Empirical Modeling of Social Science Theory: Advanced Topics
- Robert Franzese - Game Theory II: Advanced Topics
- James Morrow - Longitudinal Analysis
- Michael Berbaum - Maximum Likelihood Estimation II: Advanced Topics
- David Darmofal and Chris Zorn - Multilevel Models II: Advanced Topics
- John Poe - Network Analysis II: Advanced Topics
- Lorien Jasny - Regression Analysis II: Linear Models
- Brian Pollins - Simultaneous Equation Models
- Sandy Marquart-Pyatt - Statistics and Data Analysis II: Intermediate
- Shane Singh - Structural Equation Models With Latent Variables
- Doug Baer - Time Series Analysis II: Advanced Topics
- Paul Kellstedi and Mark Pickup - Introduction to Calculus
- Don Eckford - Introduction to Computing 2nd Session
- Michael Hawthorne - Introduction to the R Statistical Computing Environment
- John Fox - Introductory - Review Lectures on Matrix Algebra
- Tim McDaniel
Workshops
Lectures
- Analyzing Intensive Longitudinal Data: A Guide to Diary, Experience Sampling, and Ecological Momentary Assessment Methods
- Niall Bolger and Jean-Philippe Laurenceau - Applications of Models for Longitudinal and Multilevel Data in R and Stan
- John Fox and Georges Monette - Applied Multilevel Models for Longitudinal and Clustered Data
- Ryan Walters - Bayesian Latent Variable Analysis
- Ryan Bakker - Bayesian Multilevel Models
- Ryan Bakker - Causal Inference/Estimating Treatment Effects Using Stata
- David Drukker - Conducting Research Using the 2014 Survey of Income and Program Participation (SIPP): Introductory Workshop
- Fields, Marlay, Irving, and Fee - Data Curation for Disability and Rehabilitation Outcomes Research
- Jared Lyle, James Graham, and Jai Holt - Data User Workshop: Pittsburgh Youth Study and Northwestern Juvenile Project
- Karen Abram, Samuel Hawes, Jessica Jakubowski, and Dustin Pardini - Designing and Conducting Experiments in the Laboratory
- Rick Wilson and Katherine Eckel - Doing Bayesian Data Analysis: An Introduction
- John Kruschke - Exploratory Data Mining Via SEARCH Strategies
- Kevin Grimm - Group-based Trajectory Modeling for the Medical and Social Sciences
- Daniel Nagin and Thomas Loughran - Head Start Family and Child Experiences Survey (FACES 2014): A New Face On an Old Friend
- Lizabeth Malone, Ashley Kopack Klein, and Nikki Aikens - Health Disparities, Health Inequities and Vulnerable Populations: Research Examining and Understanding Complexity
- Sarah Burgard, Annie Ro, Abigail Sewell, and John Garcia - Hierarchical Linear Models I: Introduction
- Aline Sayer - Introduction to Mixed Methods Research
- Kathleen Collins - Item Response Theory: Methods for the Analysis of Discrete Survey Response Data
- William Skorupski - 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
- Don Hedeker - Machine Learning for the Analysis of Text as Data
- Brice Acree - Machine Learning: Applications and Opportunities in the Social Sciences
- Christopher Hare - Managing Data for Reproducible Results
- Scott Long - Modern Causal Inference: Experiments, Matching, and Beyond
- Douglas Steinley - Multi-level Modeling
- Mark Tranmer - Multilevel and Mixed Models Using Stata
- Rose Medeiros - Network Analysis: An Introduction - Ann McCranie
- Network Analysis: Statistical Approaches
- John Skvoretz - Panel Data using Stata
- Enrique Pinzon - Panel Study of Income Dynamics (PSID) Data User Workshop
- Fomby and Insolera et al - Process Tracing in Qualitative and Mixed Methods Research
- Derek Beach - Qualitative Research Methods
- Paul Mihas - R: Learning by Example
- David Armstrong - Regression Analysis for Spatial Data
- Elizabeth Root - Regression Discontinuity Designs
- Rocio Titiunik and Sebastian Calonico - Regression Models for Categorical Outcomes: Specification, Estimation, and Interpretation
- Scott Long - Social Network Analysis
- Jimi Adams - Spatial Econometrics
- Robert Franzese - Structural Equation Models and Latent Variables: An Introduction
- Ken Bollen - Survey Data Analysis Using Stata
- William Rising - Survival Analysis, Event History Modeling, and Duration Analysis
- Tenko Raykov - The Population Assessment of Tobacco and Health (PATH) Study Data User Workshop: Wave 1 and Wave 2
- Kristie Taylor and Robert Choate