While large sample sizes offer numerous advantages, they are not without drawbacks. One of the main challenges is the increased cost and logistical complexity of conducting large-scale studies. Additionally, very large sample sizes can sometimes lead to statistically significant results that are not clinically meaningful. This phenomenon, known as overpowering, can make it difficult to interpret the practical significance of the findings.
