Power Analysis For Repeated Measures Anova Caculator Calculator Guide
Power: Repeated Measures ANOVA
Power depends on effect size, α, number of measurements, subjects, and correlations among repeated measures.
Key Inputs
- Effect size (f)
- α (significance level)
- Measurements per subject
- Sample size
Example
With moderate effect, α=0.05, 4 measurements, n=30, typical power exceeds 0.8 depending on correlation.
FAQs
Sphericity?
Violations affect df and power; consider corrections (Greenhouse–Geisser).
A priori vs post-hoc?
A priori computes required n; post-hoc computes achieved power.