Get JMP software free for academic use at jmp.com/student

Linear mixed models — linear models with both fixed and random effects — have become widely taught in many disciplines due to their ability to handle non-independence among observations, a challenge that students are likely to encounter at some point in their careers. JMP and JMP Pro include extensive mixed modeling capabilities, with an interactive no-code interface that makes mixed models more approachable for many students. This webinar presents tools for analyzing basic blocking structures in JMP before moving on to JMP Pro for tutorials on analyzing data with more complex covariance structures and on mixed models for non-normal response data (generalized linear mixed models). We provide teaching tips along the way, including pointers to relevant teaching resources from the JMP Academic team.