How can I improve the statistical power of my study?
To improve statistical power, you can increase your sample size, reduce variability, or choose a more sensitive measurement.
What is the ideal sample size for my research?
The ideal sample size depends on your effect size, significance level, and desired power. You can use power analysis to determine it.
Can you explain what effect size means?
Effect size quantifies the strength of a relationship or the magnitude of an effect in your study, helping to assess its practical significance.
How does variability affect statistical power?
Higher variability in your data can reduce statistical power, making it harder to detect true effects. Reducing variability can help.
Are there any software tools to calculate power analysis?
Yes, software like G*Power, R, and SAS can help you perform power analysis and determine the necessary sample size.
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