Missing Data

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. 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