Dr. Jeffrey Harring


Dr. Jeffrey R. Harring is a Professor of Measurement, Statistics and Evaluation within the Department of Human Development and Quantitative Methodology at the University of Maryland. Dr. Harring teaches advanced quantitative graduate seminars on regression analysis, longitudinal data analysis, simulation design, computational statistics, and finite mixture models. His research focuses on methods for repeated measures data, nonlinear structural equation models, and mixtures of both linear and nonlinear growth models. Dr. Harring has published methodological papers in prominent journals such as Multivariate Behavioral Research, Psychometrika, Psychological Assessment, Journal of Educational and Behavioral Statistics, Structural Equation Modeling, Psychological Methods, as well as an invited submission in the Annual Review of Psychology. Dr. Harring co-authored a book entitled, Comparing groups: Randomization and bootstrap methods using R, which was published by Wiley in June, 2011 and authored chapters and co-edited two contributed volumes, Advances in longitudinal methods for the social and behavioral sciences, which was published in 2012, and Advances in multilevel modeling for educational research: Addressing practical issues found in real-world applications, which was recently published in early 2016. He served as the program chairs for AERA: Division D, Section 2 – Statistical Theory and Methods from 2008-2010 and the Structural Equation Modeling Special Interest Group from 2013-2014 and sits on the editorial boards of several flagship quantitative methods and substantive applied journals.