Striking a balance: analyzing unbalanced event-related potential data

Frontiers in Psychology

Roni Tibon¹ 

关键词: mixed-effects models;    repeated-measures ANOVA;    unbalanced data;    event-related potentials;    EEG/ERP;   

DOI  :  10.3389/fpsyg.2015.00555

学科分类：心理学（综合）

来源: Frontiers

【 摘 要 】

To 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 variables. Accordingly, the subject is included as a random factor, and inter-individual differences in EEG amplitude dynamics are modeled as a random intercept, which represents an individual “baseline,” in addition to being affected by the fixed factors.

【 授权许可】

CC BY