I have experiment leading to 4-way ANOVA:
- 3 experimental groups.
- participants in each group responded to 70 trials.
- Reaction time as DV.
- trials were divided into separate groups by full factorial design by three variables A,B and C.
I'm not sure what is the best way to analyze the data. I can run one 4-way ANOVA with (
RT ~ group*A*B*C) or run three 3-way ANOVAs for each group separately (
RT ~ A*B*C).
What is the best practice? Run one 4-way ANOVA, but harder to interpret, or run three 3-way ANOVAs and correct for multiple testing?