General Linear Models

Dr. Patrick E. Shrout
Professor of Psychology
Department of Psychology
New York University
http://www.psych.nyu.edu/shrout/
Expertise and Interest Areas: 
Causal Analysis
Correlation Analysis
Dynamical Systems
General Linear Models
General multilevel (mixed, hierarchical linear) models
Generalized Linear Models
Generalized multilevel (mixed, hierarchical linear) models
Longitudinal Analysis
Mediation Analysis
Personality
Reliability
Statistical Inference
Survey Methods
Validity
Dr. Tenko Raykov
Professor of Quantitative Methods
Measurement and Quantitative Methods
Michigan State University
https://www.msu.edu/~raykov/
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. Gitta H. Lubke
Professor of Psychology
Department of Psychology
University of Notre Dame
http://psychology.nd.edu/faculty/faculty-by-alpha/gitta-lubke/
Expertise and Interest Areas: 
Behavior Genetics
Clustering and Classification
Factor Analysis
General Linear Models
Generalized Linear Models
Latent Class Analysis
Latent Profile Analysis
Longitudinal Analysis
Measurement Invariance
Mixture Modeling
Psychiatric Genetics
Statistical Learning
Structural Equation Modeling
Dr. David Budescu
Anne Anastasi Professor of Psychometrics and Quantitative Psychology
Department of Psychology
Fordham University
http://www.fordham.edu/psychology/budescu
Expertise and Interest Areas: 
Choice Modeling
Correlation Analysis
Effect Sizes and Confidence Intervals
Experimental Design
General Linear Models
Individual Differences
Item Response Theory Modeling
Judgment and Decision Making
Measurement
Statistical Inference
Survey Methods
Teaching of Quantitative Methods
Test Theory
Dr. Li Cai
Co-Director/Professor
CRESST
University of California, Los Angeles
http://lcai.bol.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