Mixed-Design ANOVA

A Mixed-Design ANOVA is a statistical method used to analyze data when studying the effects of both independent variables that are tested across different groups (between-subjects factors) and variables measured multiple times within the same subjects (within-subjects factors). It helps researchers understand how different conditions or treatments impact outcomes, considering both differences between groups and changes within the same individuals over time or under different conditions. This approach provides a comprehensive way to analyze complex experimental designs involving multiple factors.