Generalized multilevel (mixed, hierarchical linear) models

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

Dr. Ke-Hai Yuan

Submitted by Dr. Ke-Hai Yuan on Sun, 04/27/2014 - 09:46
Professor
Expertise and Interest Areas: 
Correlation Analysis
Factor Analysis
General multilevel (mixed, hierarchical linear) models
Generalized multilevel (mixed, hierarchical linear) models
Item Response Theory Modeling
Measurement
Measurement Invariance
Mediation Analysis
Missing Data
Mixture Modeling
Multivariate Analysis
Nonnormal Data
Power Analysis
Reliability
Statistical Inference
Structural Equation Modeling
Test Theory

Dr. Li Cai

Submitted by Dr. Li Cai on Wed, 08/07/2013 - 19:42
Co-Director/Professor
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