Markov Chain Monte Carlo Methods

Dr. Ying Cheng
Associate Professor
118 Haggar Hall
University of Notre Dame
https://sites.nd.edu/peml/
ycheng4@nd.edu
Expertise and Interest Areas: 
Diagnostic Classification Modeling
Factor Analysis
Item Response Theory Modeling
Markov Chain Monte Carlo Methods
Measurement
Measurement Invariance
Scale Development
Survey Methods
Test Design
Test Theory
Validity
Dr. Zhiyong Zhang
Associate Professor
Department of Psychology
University of Notre Dame
https://bigdatalab.nd.edu
zzhang4@nd.edu
Expertise and Interest Areas: 
Bayesian Modeling
Dynamical Systems
Factor Analysis
General multilevel (mixed, hierarchical linear) models
Generalized multilevel (mixed, hierarchical linear) models
Individual Differences
Longitudinal Analysis
Markov Chain Monte Carlo Methods
Mediation Analysis
Missing Data
Multivariate Analysis
Nonnormal Data
Power Analysis
Statistical Learning
Structural Equation Modeling
Dr. Jonathan Templin
Professor and E. F. Lindquist Chair
Department of Psychological and Quantitative Foundations
University of Iowa
http://jonathantemplin.com
jonathan-templin@uiowa.edu
Expertise and Interest Areas: 
Bayesian Modeling
Diagnostic Classification Modeling
Generalized multilevel (mixed, hierarchical linear) models
Item Response Theory Modeling
Latent Class Analysis
Latent Profile Analysis
Markov Chain Monte Carlo Methods
Measurement
Mixture Modeling
Multivariate Analysis
Statistical Inference
Statistical Learning
Structural Equation Modeling
Test Theory
Dr. Michael Edwards
Associate Professor
Department of Psychology
Arizona State University
[node:author:profile-website]
mcedwards@asu.edu
Expertise and Interest Areas: 
Factor Analysis
Item Response Theory Modeling
Markov Chain Monte Carlo Methods
Measurement
Measurement Invariance
Reliability
Teaching of Quantitative Methods
Test Design
Test Theory
Validity
Dr. Li Cai
Co-Director/Professor
CRESST
University of California, Los Angeles
http://lcai.bol.ucla.edu/
lcai@ucla.edu
Expertise and Interest Areas: 
Bayesian Modeling
Diagnostic Classification Modeling
Factor Analysis
General Linear Models
General multilevel (mixed, hierarchical linear) models
Generalized multilevel (mixed, hierarchical linear) models
Item Response Theory Modeling
Markov Chain Monte Carlo Methods
Measurement
Missing Data
Multivariate Analysis
Power Analysis
Program Evaluation
Propensity Scores
Quasi-Experimental Design
Statistical Inference
Structural Equation Modeling
Teaching of Quantitative Methods
Test Design
Test Theory
Validity