Power Analysis Repeated Measures ANOVA Calculator
Power analysis for repeated measures ANOVA is crucial in determining the sample size required to detect an effect of a certain size with a given level of confidence.
- Enter the desired significance level (alpha), effect size, and desired power.
- Enter the sample size (n) and number of groups (k).
- Click ‘Calculate’.
The formula used for power analysis in repeated measures ANOVA is complex and involves non-central F-distributions. Our calculator simplifies this process.
| Alpha | Effect Size | Power | Sample Size (n) | Number of Groups (k) |
|---|---|---|---|---|
| 0.05 | 0.3 | 0.8 | 20 | 3 |
- Always ensure your sample size is large enough to detect meaningful effects.
- Consider using a pilot study to estimate effect sizes.
What is the difference between repeated measures and independent measures ANOVA?
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