NSDUH 2019 Editing And Imputation Report

Description

This report focuses on the editing and statistical imputation procedures that were applied to respondent data for the 2019 NSDUH. Logical editing uses data from elsewhere within the same respondent's record to reduce the occurrence of missing or ambiguous data or to resolve inconsistencies between related variables. Imputation is defined as the replacement of missing values with valid, nonmissing values. Statistical imputation usually involves some randomness to preserve the natural variability in the data.

Resources

Name Format Description Link
21 Visit the original government dataset for complete information, documentation, and data access. https://www.samhsa.gov/data/report/nsduh-2019-editing-and-imputation-report

Tags

  • nsduh
  • missing-data
  • data-editing
  • samhsa
  • data-imputation

Topics

Categories