Which sampling method did Eva choose for its ease of use and statistical reliability?

Systematic sampling is often favored for its straightforward approach and consistency, making it a popular choice in various research and auditing scenarios. This method involves selecting samples based on a fixed, periodic interval from a randomly ordered list, resulting in a selection process that is easy to implement. This structure simplifies the sampling mechanism while still maintaining a level of randomness, promoting statistical reliability.

The statistical reliability comes from its ability to evenly cover the entire dataset, reducing biases that could arise from other selection methods. Since systematic sampling can be applied consistently, it allows for easier replication of the sampling process in future studies, enhancing its reliability over time.

In contrast, random sampling, while also effective, can sometimes lead to less uniform coverage. Block selection sampling focuses on specific segments or blocks, which may overlook potential variability across other blocks, and judgmental sampling relies on subjective choice, potentially introducing biases. Thus, systematic sampling balances ease of use with strong statistical foundations, making it a well-rounded choice for many applications.