Kevin J. Grimm

I am a Professor in the Department of Psychology at Arizona State University.  I received my B.A. in Mathematics and Psychology with a concentration in Education from Gettysburg College in 2000, and my M.A. and Ph.D. in Psychology at the University of Virginia (2001-2006). In graduate school, I studied structural equation modeling and longitudinal data analysis (e.g., growth curve analysis, longitudinal mixture modeling, longitudinal measurement, and dynamic models) with Jack McArdle and John Nesselroade.  After completing my Ph.D., I worked with Bob Pianta as a research associate in the Center for the Advanced Study of Teaching and Learning at the University of Virginia. In 2007, I joined the faculty in the Department of Psychology at the University of California, Davis as an Assistant Professor, and was promoted to Associate Professor in 2011. In 2014, I moved to the Department of Psychology at Arizona State University, and was promoted to Full Professor in 2016.

My research interests include multivariate methods for the analysis of change, multiple group and latent class models for understanding divergent developmental processes, nonlinearity in development, machine learning techniques for psychological data, and cognitive/achievement development.

I am an author of Growth Modeling: Structural Equation and Multilevel Modeling Approaches with Nilam Ram and Ryne Estabrook, which was published by Guilford Press in 2017. The book provides extensive coverage of growth models, including linear and nonlinear trajectory models, growth mixture models, growth models with nonlinear link functions, and latent difference score models. We present and describe programming code for Mplus, OpenMx in R, NLMIXED in SAS, and nlme in R. The programming code can be found on the book's companion website.

I teach undergraduate and graduate quantitative courses at Arizona State University, including Longitudinal Growth Modeling, Machine Learning in Psychology, Structural Equation Modeling, Advanced Categorical Data Analysis, and Intermediate Statistics. I have taught workshops sponsored by the American Psychological Association's Advanced Training Institute, Statistical Horizons, Instats, Stats Camp, and various departments/schools across the country (Curry School of Education, University of Virginia; Center for Social and Behavioral Science, University of Illinois; Department of Psychology, University of Miami; Centers for Disease Control and Prevention; Department of Human Development and Family Studies, University of North Carolina, Greensboro). These workshops have focused on growth models, structural equation modeling (SEM), machine learning, categorical SEM, power analysis, and mixture modeling.