Clustering and Classification

Dr. Jeffrey Harring

Submitted by Dr. Jeffrey Harring on Tue, 02/13/2018 - 10:41
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. Gitta H. Lubke

Submitted by Dr. Gitta H. Lubke on Fri, 10/06/2017 - 14:51
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. Irini Moustaki

Submitted by Dr. Irini Moustaki on Thu, 04/07/2016 - 12:36
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