Power Analysis

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. 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
Dr. Jeremy Biesanz
Associate Professor
Department of Psychology
University of British Columbia
http://www2.psych.ubc.ca/~jbiesanz/
jbiesanz@psych.ubc.ca
Expertise and Interest Areas: 
General multilevel (mixed, hierarchical linear) models
Individual Differences
Longitudinal Analysis
Measurement
Mediation Analysis
Personality
Power Analysis
Statistical Inference
Structural Equation Modeling
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