Let’s say you have limited time and resources to conduct any experiment. Which would be the most effective way to determine whether or not your results indicate a true effect? Taking more smaller samples or taking fewer but larger samples?
Everything points to larger samples sizes being better for reducing variance, but nothing I can find compares size vs effort. Obviously assuming independent sampling, etc.
For example, to determine bug community composition in soil… Should one take many small soil samples, or a couple large volumes of soil?