Structural Equation Modeling

Dr. Hao Wu
Associate Professor
Department of Psychology and Human Development
Vanderbilt University
[node:author:profile-website]
hao.wu.1@vanderbilt.edu
Expertise and Interest Areas: 
Effect Sizes and Confidence Intervals
Factor Analysis
Multivariate Analysis
Nonnormal Data
Structural Equation Modeling
Dr. Rens van de Schoot
Full Professor
Department of Methods and Statistics
Utrecht University, The Netherlands
https://www.rensvandeschoot.com
A.G.J.vandeSchoot@uu.nl
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. A. Nayena Blankson
Professor of Psychology
Spelman College
Psychology Department
http://faculty.spelman.edu/anayenablankson/
ablanks1@spelman.edu
Expertise and Interest Areas: 
Factor Analysis
Individual Differences
Intelligence
Latent Class Analysis
Latent Profile Analysis
Measurement Invariance
Mediation Analysis
Reliability
Structural Equation Modeling
Teaching of Quantitative Methods
Validity
Dr. Daniel McNeish
Assistant Professor
Department of Psychology
Arizona State University
https://sites.google.com/site/danielmmcneish/home
dmcneish@asu.edu
Expertise and Interest Areas: 
Factor Analysis
General multilevel (mixed, hierarchical linear) models
Generalized multilevel (mixed, hierarchical linear) models
Longitudinal Analysis
Structural Equation Modeling
Dr. Jeffrey Harring
Professor
Measurement, Statistics & Evaluation
University of Maryland
https://education.umd.edu/directory/jeffrey-r-harring
harring@umd.edu
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. Michael C. Neale
Professor
Virginia Institute for Psychiatric and Behavioral Genetics
Virginia Commonwealth University
http://www.vipbg.vcu.edu/dr/MNEALE.shtml
mcneale@mac.com
Expertise and Interest Areas: 
Behavior Genetics
Causal Analysis
Correlation Analysis
Dynamical Systems
Effect Sizes and Confidence Intervals
Factor Analysis
Individual Differences
Item Response Theory Modeling
Latent Class Analysis
Latent Profile Analysis
Longitudinal Analysis
Measurement Invariance
Mediation Analysis
Missing Data
Mixture Modeling
Multivariate Analysis
Nonnormal Data
Power Analysis
Psychiatric Genetics
Research Design
Statistical Inference
Structural Equation Modeling
Dr. Tenko Raykov
Professor of Quantitative Methods
Measurement and Quantitative Methods
Michigan State University
https://www.msu.edu/~raykov/
raykov@msu.edu
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. Mijke Rhemtulla
Assistant Professor, Psychology
Department of Psychology
University of California, Davis
http://psychology.ucdavis.edu/people/mijke
mrhemtulla@ucdavis.edu
Expertise and Interest Areas: 
Measurement
Missing Data
Structural Equation Modeling
Dr. Sy-Miin Chow
Professor of Human Development and Family Studies
Department of Human Development and Family Studies
Pennsylvania State University
http://www.personal.psu.edu/quc16/
symiin@psu.edu
Expertise and Interest Areas: 
Applied Nonlinear Dynamics
Bayesian Modeling
Dynamical Systems
Individual Differences
Single-Subject Designs
State Space Modeling
Structural Equation Modeling
Dr. Jolynn Pek
Assistant Professor
Department of Psychology
The Ohio State University
http://u.osu.edu/pek.5/
pek.5@osu.edu
Expertise and Interest Areas: 
Effect Sizes and Confidence Intervals
Factor Analysis
Statistical Inference
Structural Equation Modeling