Gregory R. Hancock is Professor and Chair of Measurement, Statistics and Evaluation in the Department of Human Development and Quantitative Methodology at the University of Maryland, College Park, and Director of the Center for Integrated Latent Variable Research (CILVR). His research interests include structural equation modeling and latent growth models, and the use of latent variables in (quasi)experimental design. His research has appeared in such journals as Psychometrika, Multivariate Behavioral Research, Structural Equation Modeling: A Multidisciplinary Journal, Psychological Bulletin, British Journal of Mathematical and Statistical Psychology, Journal of Educational and Behavioral Statistics, Educational and Psychological Measurement, Review of Educational Research, and Communications in Statistics: Simulation and Computation.
He also co-edited with Ralph O. Mueller the volumes Structural Equation Modeling: A Second Course (2006) and The Reviewer’s Guide to Quantitative Methods in the Social Sciences (2010), with Karen M. Samuelsen the volume Advances in Latent Variable Mixture Models (2008), and with Jeffrey R. Harring the volume Advances in Longitudinal Methods in the Social and Behavioral Sciences (2012). He is past chair of the SEM special interest group of the American Educational Research Association (three terms), serves on the editorial board of a number of journals including Psychological Methods and is Associate Editor of Structural Equation Modeling: A Multidisciplinary Journal, and has taught dozens of SEM workshops in the United States, Canada, and abroad.
He also received the 2011 Jacob Cohen Award for Distinguished Contributions to Teaching and Mentoring by the American Psychological Association. Dr. Hancock holds a Ph.D. from the University of Washington.