Friday, Oct. 26 | 8 a.m. – noon | Reimers Conference Room, NDSU Alumni Center

Dr. Michael Young, Professor and Head Department of Psychological Sciences Kansas State University

Dr. Young received his B.S. in Computer Science from the University of Illinois, and M.S. in Computer Science and Ph.D. in Psychology from the University of Minnesota. He is a cognitive psychologist who studies judgment and decision making. Dr. Young teaches graduate statistics courses at Kansas State University. Dr. Young’s passion is improving statistical practices in experimental psychology. This workshop will focus on R’s brms package to support Bayesian analysis of the general linear model, generalized linear model, multilevel modeling, and nonlinear modeling. He will cover basic Bayesian concepts followed by a number of examples of how to use brms to perform simple regression with extensions to various multilevel approaches for repeated measures designs. R code will be made available to attendees.

View the event flyer for more information and to sign up.