Power Your Study for Success
Determining the right sample size is a critical balancing act. Too small a sample risks being statistically underpowered, making it impossible to find meaningful effects. Too large a sample wastes time and resources. We provide precise calculations to ensure your study is set up for success.
Avoid False Negatives
Ensure your study is large enough to detect a true effect if one exists.
Optimize Resources
Prevent over-recruitment, saving valuable time, effort, and budget.
Justify Your Methods
Provide rigorous justification for your sample size in grant proposals and publications.
Our Calculation Approach
We work collaboratively with you to perform an accurate power analysis. The key inputs we'll discuss are:
- Effect Size: The magnitude of the difference you expect to see.
- Significance Level (α): The probability of a Type I error (usually 0.05).
- Statistical Power (1-β): The probability of detecting an effect (usually 0.80 or higher).
- Study Design: The specific statistical test you plan to use.
What You Will Receive
Our deliverable is a formal report containing:
- A clear statement of the required sample size.
- The assumptions and parameters used in the calculation.
- A power curve graph showing how power changes with sample size.
- A summary paragraph suitable for inclusion in your methodology section.
Don't Leave Your Study's Success to Chance.
Let's calculate the optimal sample size for your research questions.
Request a Calculation