Multivariate Analysis

Dr. Hao Wu
Associate Professor
Department of Psychology and Human Development
Vanderbilt University
[node:author:profile-website]
hao.wu.1@vanderbilt.edu
Expertise and Interest Areas: 
Effect Sizes and Confidence Intervals
Factor Analysis
Multivariate Analysis
Nonnormal Data
Structural Equation Modeling
Dr. John R. Nesselroade
Hugh Scott Hamilton Professor of Psychology emeritus
Department of Psychology
University of Virginia
http://www.drjrnesselroade.com
jrn8z@virginia.edu
Expertise and Interest Areas: 
Correlation Analysis
Factor Analysis
Measurement
Measurement Invariance
Multivariate Analysis
Dr. Michael C. Neale
Professor
Virginia Institute for Psychiatric and Behavioral Genetics
Virginia Commonwealth University
http://www.vipbg.vcu.edu/dr/MNEALE.shtml
mcneale@mac.com
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
Professor of Quantitative Methods
Measurement and Quantitative Methods
Michigan State University
https://www.msu.edu/~raykov/
raykov@msu.edu
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
Senior Associate Dean for Undergraduate Education; Professor of Psychology and Neuroscience
Department of Psychology
The University of North Carolina at Chapel Hill
[node:author:profile-website]
panter@unc.edu
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. Carolyn Anderson
Professor
Department of Educational Psychology
University of Illinois
http://faculty.education.illinois.edu/cja/homepage/
cja@illinois.edu
Expertise and Interest Areas: 
Generalized Linear Models
Generalized multilevel (mixed, hierarchical linear) models
Latent Class Analysis
Measurement
Multidimensional Scaling
Multivariate Analysis
Social Network Analysis
Teaching of Quantitative Methods
Dr. Laura Stapleton
Professor
1229 Benjamin Bldg
University of Maryland
https://education.umd.edu/directory/laura-stapleton
lstaplet@umd.edu
Expertise and Interest Areas: 
General multilevel (mixed, hierarchical linear) models
Mediation Analysis
Multivariate Analysis
Structural Equation Modeling
Survey Methods
Dr. Irini Moustaki
Professor
Department of Statistics
London School of Economics and Political Science
http://stats.lse.ac.uk/moustaki/
i.moustaki@lse.ac.uk
Expertise and Interest Areas: 
Clustering and Classification
Factor Analysis
General multilevel (mixed, hierarchical linear) models
Generalized Linear Models
Item Response Theory Modeling
Latent Class Analysis
Longitudinal Analysis
Measurement Invariance
Missing Data
Mixture Modeling
Multivariate Analysis
Structural Equation Modeling
Dr. Guangjian Zhang
Associate Professor of Psychology
390 Corbett Family Hall
[node:author:profile-address2]
[node:author:profile-website]
gzhang3@nd.edu
Expertise and Interest Areas: 
Factor Analysis
Multivariate Analysis
Structural Equation Modeling
Dr. Zhiyong Zhang
Associate Professor
Department of Psychology
University of Notre Dame
http://nd.psychstat.org
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