When can you recalculate validation results?

The ability to recalculate validation results is primarily tied to changes that directly affect the data being validated. When documents in the validation sample are re-coded, it indicates that the content or metadata of those documents has been altered in some way. This modification can significantly impact the validation results, as the recalibration of the coding may yield different outcomes regarding the efficacy of the coding scheme or the consistency of the data.

Re-coding introduces new information or corrects past errors, necessitating a fresh assessment of validation results to ensure that they reflect the current state of the data accurately. Essentially, recalculation after re-coding allows for improved validation integrity and reliability in subsequent analysis.

The other options, while potentially related to data management and validation processes, do not have the same direct impact on the accuracy of validation results. Adding new documents may expand the dataset but does not necessarily affect existing validation outcomes. Increasing sample size changes the volume of data considered but not the results derived from already validated documents. Adjusting the exclusion rate modifies the criteria for including or excluding certain documents but does not inherently necessitate a recalculation unless specific documents in the validation sample are directly affected by these changes.