Determining the appropriate sample size is crucial for ensuring the study has adequate power to detect statistically significant differences or associations. Factors to consider include the expected effect size, the variability of the outcome measure, and the desired level of statistical significance. Inadequate sample size can lead to type II errors, while excessively large sample sizes can be resource-intensive.
