Which scenario requires recalculation of validation?

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Recalculation of validation is necessary in scenarios where changes to the documents impact the integrity or accuracy of the review process. In the context of coding documents, both skipping coding on certain documents and updating documents that have been coded can influence the overall analysis and results derived from the data.

When documents are coded, they are assessed for relevance, and this coding determines how they fit within the larger data set. If documents are skipped, this can create gaps in the coding process which could lead to potential discrepancies in the final output. This scenario warrants recalculation because the omission might affect how findings are interpreted.

Similarly, updating previously coded documents—whether altering the coding itself or correcting errors—also necessitates a recalculation of validation. Changes to the coding can shift the interpretation of the data, altering conclusions drawn from the analytics.

Given these reasons, any scenario that deals with changes to document coding or acknowledges missing codes requires a thorough recalculation to ensure that all findings are accurate and reflect the most current data. Thus, the implication that all scenarios mentioned necessitate recalculation is valid, leading to the conclusion that the correct answer is indeed inclusive of both situations.

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