According to the Statistical Terminology glossary maintained by the National Science Foundation, this is "the process by which one estimates missing values for items that a survey respondent failed to provide," and if applicable in this context, it refers to the type of procedure used. When applied to an nCube, imputation takes into consideration all of the dimensions that are part of that nCube. This element may be repeated to support multiple language expressions of the content. This supports the use of a controlled vocabulary. PLEASE NOTE A CHANGE IN USAGE INSTRUCTIONS: The string content of the element now contains the language specific label obtained from the controlled vocabulary. This allows for multiple languages through the repeated entry of the "concept" element. See the high level documentation for a complete description of usage.
<var>
<imputation>This variable contains values that were derived by substitution.</imputation>
</var>
<var>
<imputation vocab="The Analysis Factor" vocabURI="https://www.theanalysisfactor.com/seven-ways-to-make-up-data-common-methods-to-imputing-missing-data/" vocabInstanceTerm="Substitution">Substitution</imputation>
</var>