Factor Analysis

Dr. David P. MacKinnon
Foundation Professor of Psychology
Department of Psychology
Arizona State University
http://www.public.asu.edu/~davidpm/
davidpm@asu.edu
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. Kenneth A. Bollen
H.W. Immerwahr Professor
Department of Psychology and Neuroscience, Department of Sociology
University of North Carolina at Chapel Hill
http://bollen.web.unc.edu/
bollen@unc.edu
Expertise and Interest Areas: 
Factor Analysis
Longitudinal Analysis
Measurement
Structural Equation Modeling
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
105 Haggar 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
Dr. George J. Huba
Retired; Blogger @ Hubaisms.com
[node:author:profile-address1]
[node:author:profile-address2]
Http://www.hubaisms.com
george.huba@gmail.com
Expertise and Interest Areas: 
Clustering and Classification
Diagnostic Classification Modeling
Factor Analysis
Individual Differences
Intelligence
Latent Class Analysis
Measurement
Personality
Program Evaluation
Structural Equation Modeling
Dr. Katherine Masyn
Associate Professor
Division of Epidemiology & Biostatistics
Georgia State University School of Public Health
http://publichealth.gsu.edu/profile/katherine-masyn/
kmasyn@gsu.edu
Expertise and Interest Areas: 
Factor Analysis
Generalized multilevel (mixed, hierarchical linear) models
Latent Class Analysis
Latent Profile Analysis
Longitudinal Analysis
Measurement Invariance
Mixture Modeling
Multivariate Analysis
Structural Equation Modeling
Dr. William Revelle
Department of Psychology
Northwestern University
http://personality-project.org/revelle.html
revelle@northwestern.edu
Expertise and Interest Areas: 
Correlation Analysis
Factor Analysis
Individual Differences
Intelligence
Personality
Reliability
Research Design
Scale Development
Test Theory
Dr. Gregory R. Hancock
Professor and Program Director
Measurement, Statistics, & Evaluation
University of Maryland
http://www.education.umd.edu/EDMS/fac/Hancock/greg.html
ghancock@umd.edu
Expertise and Interest Areas: 
Factor Analysis
Longitudinal Analysis
Power Analysis
Statistical Inference
Structural Equation Modeling
Teaching of Quantitative Methods
Dr. Ke-Hai Yuan
Professor
Department of Psychology
University of Notre Dame
http://psychology.nd.edu/people/faculty/yuan-ke-hai/
kyuan@nd.edu
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