Power Analysis For ANOVA Calculator Guide
Power Analysis for ANOVA
Statistical power quantifies the probability of detecting an effect when it exists. For ANOVA, power depends on effect size (f), α, group count, and sample size.
Key Parameters
- Effect size f
- α (significance level)
- Number of groups
- Total sample size
Example
With f=0.25, α=0.05, 3 groups, total n=90, power is typically > 0.8.
FAQs
Post-hoc vs a priori?
A priori computes required n; post-hoc computes achieved power.
Effect size interpretation?
Small ≈ 0.1, medium ≈ 0.25, large ≈ 0.4 (Cohen’s f).