While power analysis is a valuable tool, it has its limitations:
Assumptions: Power calculations often rely on assumptions about effect size, variability, and other factors that may not be accurate. Complexity: Calculating power can be complex and may require specialized statistical knowledge and software. Nonlinearity: The relationship between sample size and power is not always linear, making it difficult to predict the exact impact of changes in study design.
