ABSTRACT
This chapter highlights factors affecting statistical power, and exploring methods to analyse time-series data in biomechanics. Topics related to statistical power include estimating sample size, reducing variability through ratio- and offset-normalizations, and combining multiple trials. Instead of reducing variability for statistical purposes, methods are covered to analyse the functional nature of variability, which in itself influences the control or technique and outcome or performance of movement. Methods include: confidence intervals for discrete univariate data, and CI2 for bivariate data; vector coding, cross-correlations and continuous-relative-phase for pairwise comparisons; and principal component analysis, functional principal-component analysis and statistical parametric mapping for more complex situations with multiple degrees of freedom.
