What must occur before Sample Selection can be completed?

For the completion of Sample Selection, it is essential for the Technical Coordinator (TC) to confirm that data completeness has been achieved after sharing the necessary Integrity and Performance (I.P.) data. This step ensures that the dataset is comprehensive and meets the quality standards required for accurate sampling. If the data is incomplete or of questionable quality, it could lead to skewed or misleading results in the sample selection process.

Confirming data completeness involves verifying that all relevant information has been collected and that any potential gaps are addressed. Only after this confirmation can analysts proceed with the selection process of samples that will provide valid insights. This crucial step is foundational to ensuring that the subsequent analyses and decisions made from those samples are based on reliable and comprehensive data.

The other options may relate to aspects of the preparation process involved in conducting surveys or assessments, but they do not directly address the fundamental requirement of having complete and valid data before moving forward with sample selection.