Multivariate Analysis

Dr. Michael C. Neale

Submitted by Dr. Michael C. Neale on Tue, 02/13/2018 - 10:24
Professor
Expertise and Interest Areas: 
Behavior Genetics
Causal Analysis
Correlation Analysis
Dynamical Systems
Effect Sizes and Confidence Intervals
Factor Analysis
Individual Differences
Item Response Theory Modeling
Latent Class Analysis
Latent Profile Analysis
Longitudinal Analysis
Measurement Invariance
Mediation Analysis
Missing Data
Mixture Modeling
Multivariate Analysis
Nonnormal Data
Power Analysis
Psychiatric Genetics
Research Design
Statistical Inference
Structural Equation Modeling

Dr. Tenko Raykov

Submitted by Dr. Tenko Raykov on Tue, 02/13/2018 - 10:13
Professor of Quantitative Methods
Expertise and Interest Areas: 
Factor Analysis
General Linear Models
General multilevel (mixed, hierarchical linear) models
Item Response Theory Modeling
Latent Class Analysis
Latent Profile Analysis
Longitudinal Analysis
Measurement
Measurement Invariance
Missing Data
Mixture Modeling
Multivariate Analysis
Reliability
Scale Development
Statistical Inference
Structural Equation Modeling
Teaching of Quantitative Methods
Test Theory

Dr. Abigail T. Panter

Submitted by Dr. Abigail T. ... on Fri, 09/01/2017 - 15:34
Senior Associate Dean for Undergraduate Education; Professor of Psychology and Neuroscience
Expertise and Interest Areas: 
Factor Analysis
Individual Differences
Item Response Theory Modeling
Measurement
Multivariate Analysis
Personality
Program Evaluation
Research Design
Scale Development
Structural Equation Modeling
Survey Methods
Teaching of Quantitative Methods
Test Design
Test Theory
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