Generalized multilevel (mixed, hierarchical linear) models

Dr. David P. MacKinnon

Submitted by Dr. David P. Ma... on Fri, 04/28/2017 - 10:30
Foundation Professor of Psychology
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. Zhiyong Zhang

Submitted by Dr. Zhiyong Zhang on Wed, 04/06/2016 - 07:24
Professor
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

Submitted by Dr. Jonathan Templin on Wed, 06/11/2014 - 11:15
Professor and E. F. Lindquist Chair
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