Statistical power and small effect sizes
Small effect sizes decrease statistical power and increase the needed sample size
Small effect sizes are hard to detect. More observations are needed to detect the small nuances of variance. However, sometimes these small clinical effects can push clinicians past a test or treatment threshold.
Investigate small effect sizes with an understanding that many more observations will be needed to detect statistically and clinically meaningful effects. Small effect sizes that are measured for at a continuous level will be much easier to detect in comparison to effect sizes measured at an ordinal or categorical level. Regardless, small effect sizes decrease statistical power and increase the needed sample size.
Investigate small effect sizes with an understanding that many more observations will be needed to detect statistically and clinically meaningful effects. Small effect sizes that are measured for at a continuous level will be much easier to detect in comparison to effect sizes measured at an ordinal or categorical level. Regardless, small effect sizes decrease statistical power and increase the needed sample size.
Small effect sizes decrease statistical power and increased the needed sample size.
Click on the Power and Variance of Outcome button to continue.
Hire A Statistician
DO YOU NEED TO HIRE A STATISTICIAN?
Eric Heidel, Ph.D., PStat will provide you with statistical consultation services for your research project at $100/hour. Secure checkout is available with Stripe, Venmo, Zelle, or PayPal.
- Statistical Analysis on any kind of project
- Dissertation and Thesis Projects
- DNP Capstone Projects
- Clinical Trials
- Analysis of Survey Data