Kevin J. Grimm, Ph.D., is a Professor of Psychology at Arizona State University where he teaches basic and advanced statistics courses including Longitudinal Growth Modeling, Data Mining in Psychology, and Structural Equation Modeling. He received his Ph.D. in Psychology from the University of Virginia, where he worked with Jack McArdle and John Nesselroade. He has taught at the APA workshop on Longitudinal Structural Equation Modeling since 2004. He is an elected member of the Society of Multivariate Experimental Psychology and an Associate Editor of Structural Equation Modeling: A Multidisciplinary Journal. In 2017, he received the Cattell Award from the Society of Multivariate Experimental Psychology for outstanding early career contributions to multivariate experimental psychology.
Kevin graduated from Gettysburg College with a double major in Mathematics and Psychology and a concentration in Education. After teaching high school mathematics for a year he attended the University of Virginia to begin graduate work in the quantitative area of the psychology department. His research interests include multivariate methods for the analysis of change, multiple group and latent class models to understand divergent developmental processes, data mining methods, and cognitive/achievement development. His current research revolves around models of nonlinear change, data integration, estimation of latent variable scores, residual structures in latent growth models, and the integration of data mining methods in psychology. He is the author of more than 120 articles and chapters and is an author of Growth Modeling: Structural Equation and Multilevel Modeling Approaches, which was published by Guilford Press in 2017.