General multilevel (mixed, hierarchical linear) models

Dr. Rens van de Schoot
Full Professor
Department of Methods and Statistics
Utrecht University, The Netherlands
https://www.rensvandeschoot.com
Expertise and Interest Areas: 
Bayesian Modeling
General multilevel (mixed, hierarchical linear) models
Latent Class Analysis
Measurement Invariance
Mixture Modeling
Structural Equation Modeling
Teaching of Quantitative Methods
Dr. Daniel McNeish
Assistant Professor
Department of Psychology
Arizona State University
https://sites.google.com/site/danielmmcneish/home
Expertise and Interest Areas: 
Factor Analysis
General multilevel (mixed, hierarchical linear) models
Generalized multilevel (mixed, hierarchical linear) models
Longitudinal Analysis
Structural Equation Modeling
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. Jeffrey Harring
Professor
Measurement, Statistics & Evaluation
University of Maryland
https://education.umd.edu/directory/jeffrey-r-harring
Expertise and Interest Areas: 
Clustering and Classification
General multilevel (mixed, hierarchical linear) models
Generalized multilevel (mixed, hierarchical linear) models
Latent Class Analysis
Longitudinal Analysis
Mixture Modeling
Structural Equation Modeling
Teaching of Quantitative Methods
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. S. Natasha Beretvas
John L. and Elizabeth G. Hill Centennial Professor
Quantitative Methods program, EDP departmen
University of Texas at Austin
https://education.utexas.edu/faculty/susan_beretvas
Expertise and Interest Areas: 
General multilevel (mixed, hierarchical linear) models
Generalized multilevel (mixed, hierarchical linear) models
Individual Differences
Longitudinal Analysis
Meta-Analysis
Dr. Lijuan Wang
Associate Professor
Department of Psychology
University of Notre Dame
http://psychology.nd.edu/faculty/faculty-by-alpha/lijuan-peggy-wang/
Expertise and Interest Areas: 
General multilevel (mixed, hierarchical linear) models
Longitudinal Analysis
Mediation Analysis
Structural Equation Modeling
Dr. Laura Stapleton
Professor
1229 Benjamin Bldg
University of Maryland
https://education.umd.edu/directory/laura-stapleton
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/
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/PersonProfile/Donald-Hedeker
Expertise and Interest Areas: 
General multilevel (mixed, hierarchical linear) models
Generalized multilevel (mixed, hierarchical linear) models
Longitudinal Analysis
Missing Data