#This is the the Data Manual for paper, Measuring Governance: Why do errors matter?. The data and the code to be used for re-production of the paper are divided into their respective chapters. Almost
Average pairwise Procrustes distance between landmarked trials by the same user (intraobserver error), landmarked trials between two different users (interobserver error) and between different macaque
AA-estimators, attenuation factors, and various standard errors of OLS estimates of model (16) using sample data generated from eleven different measurement protocols.
Motor learning studies face the challenge of differentiating between real changes in performance and random measurement error. While the traditional p-value-based analyses of difference (e.g., t-tests