Bayesian Modeling

Dr. Rens van de Schoot
Full Professor
Department of Methods and Statistics
Utrecht University, The Netherlands
https://www.rensvandeschoot.com
A.G.J.vandeSchoot@uu.nl
Expertise and Interest Areas: 
Bayesian Modeling
General multilevel (mixed, hierarchical linear) models
Latent Class Analysis
Measurement Invariance
Mixture Modeling
Structural Equation Modeling
Teaching of Quantitative Methods
Dr. Sy-Miin Chow
Professor of Human Development and Family Studies
Department of Human Development and Family Studies
Pennsylvania State University
http://www.personal.psu.edu/quc16/
symiin@psu.edu
Expertise and Interest Areas: 
Applied Nonlinear Dynamics
Bayesian Modeling
Dynamical Systems
Individual Differences
Single-Subject Designs
State Space Modeling
Structural Equation Modeling
Dr. David P. MacKinnon
Foundation Professor of Psychology
Department of Psychology
Arizona State University
http://www.public.asu.edu/~davidpm/
davidpm@asu.edu
Expertise and Interest Areas: 
Bayesian Modeling
Causal Analysis
Effect Sizes and Confidence Intervals
Experimental Design
Factor Analysis
Generalized multilevel (mixed, hierarchical linear) models
Individual Differences
Intelligence
Item Response Theory Modeling
Latent Profile Analysis
Longitudinal Analysis
Measurement
Mediation Analysis
Missing Data
Multidimensional Scaling
Personality
Program Evaluation
Propensity Scores
Quasi-Experimental Design
Research Design
Single-Subject Designs
Structural Equation Modeling
Teaching of Quantitative Methods
Validity
Dr. Sarah Depaoli
Associate Professor
Psychological Sciences
University of California, Merced
http://www.ucmerced.edu/content/sarah-depaoli
sdepaoli@ucmerced.edu
Expertise and Interest Areas: 
Bayesian Modeling
Longitudinal Analysis
Mixture Modeling
Structural Equation Modeling
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. David Kaplan
Patricia Busk Professor of Quantitative Methods
Department of Educational Psychology
University of Wisconsin-Madison
https://edpsych.education.wisc.edu/staff/kaplan-david/
dkaplan@education.wisc.edu
Expertise and Interest Areas: 
Bayesian Modeling
Missing Data
Structural Equation Modeling
Survey Methods
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