Missing Data

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. 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. Donald Hedeker
Professor of Biostatistics
Department of Public Health Sciences
University of Chicago
http://health.bsd.uchicago.edu/People/Donald-Hedeker
hedeker@uchicago.edu
Expertise and Interest Areas: 
General multilevel (mixed, hierarchical linear) models
Generalized multilevel (mixed, hierarchical linear) models
Longitudinal Analysis
Missing Data
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. Craig Enders
Professor
Department of Psychology
UCLA
http://www.appliedmissingdata.com
cenders@psych.ucla.edu
Expertise and Interest Areas: 
Missing Data
Dr. Sonya Sterba
Associate Professor
Department of Psychology and Human Development
Vanderbilt University
http://www.vanderbilt.edu/psychological_sciences/bio/sonya-sterba
sonya.sterba@vanderbilt.edu
Expertise and Interest Areas: 
General multilevel (mixed, hierarchical linear) models
Longitudinal Analysis
Missing Data
Mixture Modeling
Structural Equation Modeling
Dr. Todd D. Little
Director, Institute for Measurement, Methodology, Analysis and Policy
yhat enterprises
3014 23rd Street
[node:author:profile-website]
yhat@ttu.edu
Expertise and Interest Areas: 
Longitudinal Analysis
Measurement
Measurement Invariance
Mediation Analysis
Missing Data
Research Design
Scale Development
Structural Equation Modeling
Test Theory
Validity
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
Dr. David Kaplan
Patricia Busk Professor of Quantitative Methods
Department of Educational Psychology
University of Wisconsin-Madison
http://edpsych.education.wisc.edu/people/faculty-staff/david-kaplan
dkaplan@education.wisc.edu
Expertise and Interest Areas: 
Bayesian Modeling
Missing Data
Structural Equation Modeling
Survey Methods
Dr. Li Cai
Co-Director/Professor
CRESST
University of California, Los Angeles
http://lcai.bol.ucla.edu/
lcai@ucla.edu
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