What are the Challenges of Using a Large Sample Size?
While there are many benefits, large sample sizes also present some challenges: - Resource Intensive: Larger samples require more time, money, and logistical effort to recruit and follow up participants. - Complexity in Data Management: Handling and analyzing data from a large sample can be complex and may require advanced statistical techniques and software. - Potential for Overfitting: In some cases, especially with large datasets, there is a risk of overfitting the model to the data, which can lead to spurious findings.
