20.1 Describing groups of metric data with multiple nominal predictors20.2 Hierarchical bayesian approach20.3 Rescaling can change interactions, homogeneity, and normality20.4 Heterogeneous variances and robustness against outliers20.5 Within-subject designs20.6 Model comparison approach20.7 Exercises