?? Congratulations to Professor Alan Huebner, Professor Jonathan Hauenstein, John P. Wagle, and their team on their new publication! Professor Huebner's expertise is instrumental in the Online Master's in Data Science program, where he designed and teaches courses such as Linear Models, Behavioral Data Science, and Advanced Linear Models.
New publication from the Sports Performance Research & Innovation efforts in collaboration with the University of Notre Dame - College of Science! Grateful for the collaboration with an incredible team of co-authors! Alan Huebner, Jonathon Lever, Thomas Clark, Tim Suchomel, Casey Metoyer, PhD, and Jonathan Hauenstein. "Novel Use of Generalizability Theory to Optimize Countermovement Jump Data Collection" ? Not all CMJ metrics are equally reliable - reliability varies based on sport and movement phase. ? Metrics linked to the eccentric phase (e.g., Eccentric Duration, Deceleration Rate of Force Development Asymmetry) often require more than three jumps to reach acceptable reliability (Φ ≥ 0.80). ? More consistent metrics across all sports include P1 Concentric Impulse and Scaled Power, which can be reliably assessed with three trials or fewer. Full text available from Sports MDPI: https://lnkd.in/gi7H9Kwu