Striking a balance: analyzing unbalanced event-related potential data

What Can Be Done DifferentlyTo cope with these problems, instead of calculating averages of averages and examining the statistics with repeated-measures ANOVA, we recommend direct examination of ERPs of all trials available in each experimental condition from all subjects, using approaches such as Mixed-effects Models analysis.This method can be considered a generalization of GLM, but uses maximum likelihood estimation instead of sum of squares decomposition.The model is considered "mixed" as it includes two types of statistical effects: (1) fixed effects for which data has been gathered from all levels of the factor(s) of interest, and (2) random effects, assumed to be uncorrelated with the independent