Assessing whether your data meets the assumptions of the model you use to analyze it is fundamental to ensure validity of the analysis. BOLD time-series are known not to meet the several assumptions of parametric testing (see this paper for an overview), particularly with respect to homoschedasticity (i.e., the assumptions that the variances are equal … Continue reading Are your analyses too parametric? Maybe it’s time to go non-parametric!