Jeffrey Harring, Ph.D., is Professor of Measurement, Statistics and Evaluation in the Department of Human Development and Quantitative Methodology at the University of Maryland, College Park. He also serves as the Director of the Psychometric Computational and Simulation Lab.
His research interests include linear and nonlinear models for repeated measures data, structural equation models, finite mixtures of both linear and nonlinear growth models, and extensions of these methods to multilevel data structures.
Harring is co-author of the book Comparing groups: Randomization and Bootstrap Methods Using R (2011) with Andrew Zieffler and Jeffrey Long. He serves on the editorial board of several journals, including Psychological Methods, Structural Equation Modeling: A Multidisciplinary Journal, Multivariate Behavioral Research, and Psychometrika.
Harring is an elected member of the Society of Multivariate Experimental Psychology. He has also received many awards for his teaching and mentoring at the University of Maryland.
He has taught numerous workshops on finite mixture modeling across the United States. Before studying for his doctorate at the University of Minnesota he taught high school mathematics for 12 years.
You can visit his University of Maryland website by clicking here.
Dr. Harring’s books can be found below:
Advances in Multilevel Modeling for Educational Research (2015)
Advances in Longitudinal Methods in the Social and Behavioral Sciences (2012)
Comparing Groups: Randomization and Bootstrap Methods Using R (2011)