About the Author

Kevin Grimm, Ph.D., is Professor of Psychology at Arizona State University.  He received his B.A. in Mathematics and Psychology with a concentration in Education from Gettysburg College in 2000, and his Ph.D. in Psychology from the University of Virginia in 2006. In graduate school, he studied structural equation modeling and longitudinal data analysis with Jack McArdle and John Nesselroade.  After completing his Ph.D., he 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, Dr. Grimm joined the faculty in the Department of Psychology at the University of California, Davis. In 2014, he moved to the Department of Psychology at Arizona State University, and was promoted to Full Professor in 2016.

At Arizona State University, he teaches graduate quantitative courses including Longitudinal Growth Modeling, Machine Learning in Psychology, Structural Equation Modeling, Advanced Categorical Data Analysis, and Intermediate Statistics. Dr. Grimm has taught workshops sponsored by the American Psychological Association's Advanced Training Institute, Statistical Horizons, Instats, and Stats Camp.

His research interests include multivariate methods for the analysis of change, multiple group and latent class models for understanding divergent developmental processes, categorical data analysis, and machine learning techniques for psychological data.