In the context of sample selection, what is required to ensure completeness?

To ensure completeness in sample selection, it is essential for the technical committee (TC) to confirm that the data is complete after sharing. This step is crucial because the TC typically oversees the methodology and integrity of the sampling process. By confirming completeness, the TC ensures that all necessary data points have been captured and are accurate, which is fundamental to achieving reliable and valid results in any analysis or assessment. This confirmation acts as a quality control measure, ensuring that the sample is representative and that no critical data is missing from the dataset, which could otherwise lead to biased conclusions.

In contrast, other choices involve important aspects of the process but do not directly address the completion of data collection. While participation of all staff or obtaining resident consent is valuable for different reasons, they are not specifically tied to the verification of completeness in sample selection. Additionally, validating data by external reviewers ensures accuracy and reliability but might not cover the breadth of data completeness as needed by the TC in this context.