Cross checks can be conducted using various techniques and tools, including:
Manual Review: Involves manually inspecting the data for errors and inconsistencies. This method is often used for smaller datasets. Automated Tools: Software tools and statistical software can automate cross checks, making it easier to handle large datasets efficiently. Codebooks: Utilizing codebooks that define acceptable ranges and values for different variables can help in identifying outliers and errors.
